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Mariani A, Wang C, Oberg AL, Riska SM, Torres M, Kumka J, Multinu F, Sagar G, Roy D, Jung DB, Zhang Q, Grassi T, Visscher DW, Patel VP, Jin L, Staub JK, Cliby WA, Weroha SJ, Kalli KR, Hartmann LC, Kaufmann SH, Goode EL, Shridhar V. Genes associated with bowel metastases in ovarian cancer. Gynecol Oncol 2019; 154:495-504. [PMID: 31204077 DOI: 10.1016/j.ygyno.2019.06.010] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 06/05/2019] [Accepted: 06/07/2019] [Indexed: 12/31/2022]
Abstract
OBJECTIVE This study is designed to identify genes and pathways that could promote metastasis to the bowel in high-grade serous ovarian cancer (OC) and evaluate their associations with clinical outcomes. METHODS We performed RNA sequencing of OC primary tumors (PTs) and their corresponding bowel metastases (n = 21 discovery set; n = 18 replication set). Differentially expressed genes (DEGs) were those expressed at least 2-fold higher in bowel metastases (BMets) than PTs in at least 30% of patients (P < .05) with no increased expression in paired benign bowel tissue and were validated with quantitative reverse transcription PCR. Using an independent OC cohort (n = 333), associations between DEGs in PTs and surgical and clinical outcomes were performed. Immunohistochemistry and mouse xenograft studies were performed to confirm the role of LRRC15 in promoting metastasis. RESULTS Among 27 DEGs in the discovery set, 21 were confirmed in the replication set: SFRP2, Col11A1, LRRC15, ADAM12, ADAMTS12, MFAP5, LUM, PLPP4, FAP, POSTN, GRP, MMP11, MMP13, C1QTNF3, EPYC, DIO2, KCNA1, NETO1, NTM, MYH13, and PVALB. Higher expression of more than half of the genes in the PT was associated with an increased requirement for bowel resection at primary surgery and an inability to achieve complete cytoreduction. Increased expression of LRRC15 in BMets was confirmed by immunohistochemistry and knockdown of LRRC15 significantly inhibited tumor progression in mice. CONCLUSIONS We identified 21 genes that are overexpressed in bowel metastases among patients with OC. Our findings will help select potential molecular targets for the prevention and treatment of malignant bowel obstruction in OC.
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Affiliation(s)
- Andrea Mariani
- Department of Obstetrics and Gynecology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Chen Wang
- Department of Obstetrics and Gynecology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA; Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Ann L Oberg
- Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Shaun M Riska
- Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Michelle Torres
- Department of Obstetrics and Gynecology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Joseph Kumka
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Francesco Multinu
- Department of Obstetrics and Gynecology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Gunisha Sagar
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Debarshi Roy
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Deok-Beom Jung
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Qing Zhang
- Department of Obstetrics and Gynecology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Tommaso Grassi
- Department of Obstetrics and Gynecology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Daniel W Visscher
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Vatsal P Patel
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Ling Jin
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Julie K Staub
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - William A Cliby
- Department of Obstetrics and Gynecology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Saravut J Weroha
- Department of Oncology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Kimberly R Kalli
- Department of Oncology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Lynn C Hartmann
- Department of Oncology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Scott H Kaufmann
- Department of Oncology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA; Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Ellen L Goode
- Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | - Viji Shridhar
- Department of Obstetrics and Gynecology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA; Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.
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Frank RD, Winham SJ, Vierkant RA, Frost MH, Radisky DC, Ghosh K, Brandt KR, Sherman ME, Visscher DW, Hartmann LC, Degnim AC, Vachon CM. Evaluation of 2 breast cancer risk models in a benign breast disease cohort. Cancer 2018; 124:3319-3328. [PMID: 29932456 PMCID: PMC6108911 DOI: 10.1002/cncr.31528] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Revised: 03/02/2018] [Accepted: 03/18/2018] [Indexed: 11/06/2022]
Abstract
BACKGROUND More than 1.5 million women per year have a benign breast biopsy resulting in concern about their future breast cancer (BC) risk. This study examined the performance of 2 BC risk models that integrate clinical and histologic findings in this population. METHODS The BC risk at 5 and 10 years was estimated with the Breast Cancer Surveillance Consortium (BCSC) and Benign Breast Disease to Breast Cancer (BBD-BC) models for women diagnosed with benign breast disease (BBD) at the Mayo Clinic from 1997 to 2001. Women with BBD were eligible for the BBD-BC model, but the BCSC model also required a screening mammogram. Calibration and discrimination were assessed. RESULTS Fifty-six cases of BC were diagnosed among the 2142 women with BBD (median age, 50 years) within 5 years (118 were diagnosed within 10 years). The BBD-BC model had slightly better calibration at 5 years (0.89; 95% confidence interval [CI], 0.71-1.21) versus 10 years (0.81; 95% CI, 0.70-1.00) but similar discrimination in the 2 time periods: 0.68 (95% CI, 0.60-0.75) and 0.66 (95% CI, 0.60-0.71), respectively. In contrast, among the 1089 women with screening mammograms (98 cases of BC within 10 years), the BCSC model had better calibration (0.94; 95% CI, 0.85-1.43) and discrimination (0.63; 95% CI, 0.56-0.71) at 10 years versus 5 years (calibration, 1.31; 95% CI, 0.94-2.25; discrimination, 0.59; 95% CI, 0.46-0.71) where discrimination was not different from chance. CONCLUSIONS The BCSC and BBD-BC models were validated in the Mayo BBD cohort, although their performance differed by 5-year risk versus 10-year risk. Further enhancement of these models is needed to provide accurate BC risk estimates for women with BBD.
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Affiliation(s)
- Ryan D. Frank
- Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN
| | - Stacey J. Winham
- Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN
| | - Robert A. Vierkant
- Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN
| | - Marlene H. Frost
- Woman’s Cancer Program, Mayo Clinic, 200 First Street SW, Rochester, MN
| | - Derek C. Radisky
- Cancer Biology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL. 322245
- General Internal Medicine, Breast Diagnostic Clinic, Mayo Clinic, 200 First Street SW
| | - Karthik Ghosh
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN
| | - Kathleen R. Brandt
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN
| | - Mark E. Sherman
- Health Sciences Research, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL
| | | | - Lynn C. Hartmann
- Woman’s Cancer Program, Mayo Clinic, 200 First Street SW, Rochester, MN
| | - Amy C. Degnim
- Woman’s Cancer Program, Mayo Clinic, 200 First Street SW, Rochester, MN
- Breast, Endocrine, Metabolic, and GI Surgery, Mayo Clinic, 200 First Street SW, Rochester, MN
| | - Celine M. Vachon
- Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN
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Degnim AC, Winham SJ, Frank RD, Pankratz VS, Dupont WD, Vierkant RA, Frost MH, Hoskin TL, Vachon CM, Ghosh K, Hieken TJ, Carter JM, Denison LA, Broderick B, Hartmann LC, Visscher DW, Radisky DC. Model for Predicting Breast Cancer Risk in Women With Atypical Hyperplasia. J Clin Oncol 2018; 36:1840-1846. [PMID: 29676945 DOI: 10.1200/jco.2017.75.9480] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Purpose Women with atypical hyperplasia (AH) on breast biopsy have an aggregate increased risk of breast cancer (BC), but existing risk prediction models do not provide accurate individualized estimates of risk in this subset of high-risk women. Here, we used the Mayo benign breast disease cohort to develop and validate a model of BC risk prediction that is specifically for women with AH, which we have designated as AH-BC. Patients and Methods Retrospective cohorts of women age 18 to 85 years with pathologically confirmed benign AH from Rochester, MN, and Nashville, TN, were used for model development and external validation, respectively. Clinical risk factors and histologic features of the tissue biopsy were selected using L1-penalized Cox proportional hazards regression. Identified features were included in a Fine and Gray regression model to estimate BC risk, with death as a competing risk. Model discrimination and calibration were assessed in the model-building set and an external validation set. Results The model-building set consisted of 699 women with AH, 142 of whom developed BC (median follow-up, 8.1 years), and the external validation set consisted of 461 women with 114 later BC events (median follow-up, 11.4 years). The final AH-BC model included three covariates: age at biopsy, age at biopsy squared, and number of foci of AH. At 10 years, the AH-BC model demonstrated good discrimination (0.63 [95% CI, 0.57 to 0.70]) and calibration (0.87 [95% CI, 0.66 to 1.24]). In the external validation set, the model showed acceptable discrimination (0.59 [95% CI, 0.51 to 0.67]) and calibration (0.91 [95% CI, 0.65 to 1.42]). Conclusion We have created a new model with which to refine BC risk prediction for women with AH. The AH-BC model demonstrates good discrimination and calibration, and it validates in an external data set.
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Affiliation(s)
- Amy C Degnim
- Amy C. Degnim, Stacey J. Winham, Ryan D. Frank, Robert A. Vierkant, Marlene H. Frost, Tanya L. Hoskin, Celine M. Vachon, Karthik Ghosh, Tina J. Hieken, Jodi M. Carter, Lori A. Denison, Brendan Broderick, Lynn C. Hartmann, and Daniel W. Visscher, Mayo Clinic, Rochester, MN; V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; William D. Dupont, Vanderbilt University, Nashville, TN; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Stacey J Winham
- Amy C. Degnim, Stacey J. Winham, Ryan D. Frank, Robert A. Vierkant, Marlene H. Frost, Tanya L. Hoskin, Celine M. Vachon, Karthik Ghosh, Tina J. Hieken, Jodi M. Carter, Lori A. Denison, Brendan Broderick, Lynn C. Hartmann, and Daniel W. Visscher, Mayo Clinic, Rochester, MN; V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; William D. Dupont, Vanderbilt University, Nashville, TN; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Ryan D Frank
- Amy C. Degnim, Stacey J. Winham, Ryan D. Frank, Robert A. Vierkant, Marlene H. Frost, Tanya L. Hoskin, Celine M. Vachon, Karthik Ghosh, Tina J. Hieken, Jodi M. Carter, Lori A. Denison, Brendan Broderick, Lynn C. Hartmann, and Daniel W. Visscher, Mayo Clinic, Rochester, MN; V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; William D. Dupont, Vanderbilt University, Nashville, TN; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - V Shane Pankratz
- Amy C. Degnim, Stacey J. Winham, Ryan D. Frank, Robert A. Vierkant, Marlene H. Frost, Tanya L. Hoskin, Celine M. Vachon, Karthik Ghosh, Tina J. Hieken, Jodi M. Carter, Lori A. Denison, Brendan Broderick, Lynn C. Hartmann, and Daniel W. Visscher, Mayo Clinic, Rochester, MN; V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; William D. Dupont, Vanderbilt University, Nashville, TN; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - William D Dupont
- Amy C. Degnim, Stacey J. Winham, Ryan D. Frank, Robert A. Vierkant, Marlene H. Frost, Tanya L. Hoskin, Celine M. Vachon, Karthik Ghosh, Tina J. Hieken, Jodi M. Carter, Lori A. Denison, Brendan Broderick, Lynn C. Hartmann, and Daniel W. Visscher, Mayo Clinic, Rochester, MN; V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; William D. Dupont, Vanderbilt University, Nashville, TN; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Robert A Vierkant
- Amy C. Degnim, Stacey J. Winham, Ryan D. Frank, Robert A. Vierkant, Marlene H. Frost, Tanya L. Hoskin, Celine M. Vachon, Karthik Ghosh, Tina J. Hieken, Jodi M. Carter, Lori A. Denison, Brendan Broderick, Lynn C. Hartmann, and Daniel W. Visscher, Mayo Clinic, Rochester, MN; V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; William D. Dupont, Vanderbilt University, Nashville, TN; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Marlene H Frost
- Amy C. Degnim, Stacey J. Winham, Ryan D. Frank, Robert A. Vierkant, Marlene H. Frost, Tanya L. Hoskin, Celine M. Vachon, Karthik Ghosh, Tina J. Hieken, Jodi M. Carter, Lori A. Denison, Brendan Broderick, Lynn C. Hartmann, and Daniel W. Visscher, Mayo Clinic, Rochester, MN; V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; William D. Dupont, Vanderbilt University, Nashville, TN; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Tanya L Hoskin
- Amy C. Degnim, Stacey J. Winham, Ryan D. Frank, Robert A. Vierkant, Marlene H. Frost, Tanya L. Hoskin, Celine M. Vachon, Karthik Ghosh, Tina J. Hieken, Jodi M. Carter, Lori A. Denison, Brendan Broderick, Lynn C. Hartmann, and Daniel W. Visscher, Mayo Clinic, Rochester, MN; V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; William D. Dupont, Vanderbilt University, Nashville, TN; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Celine M Vachon
- Amy C. Degnim, Stacey J. Winham, Ryan D. Frank, Robert A. Vierkant, Marlene H. Frost, Tanya L. Hoskin, Celine M. Vachon, Karthik Ghosh, Tina J. Hieken, Jodi M. Carter, Lori A. Denison, Brendan Broderick, Lynn C. Hartmann, and Daniel W. Visscher, Mayo Clinic, Rochester, MN; V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; William D. Dupont, Vanderbilt University, Nashville, TN; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Karthik Ghosh
- Amy C. Degnim, Stacey J. Winham, Ryan D. Frank, Robert A. Vierkant, Marlene H. Frost, Tanya L. Hoskin, Celine M. Vachon, Karthik Ghosh, Tina J. Hieken, Jodi M. Carter, Lori A. Denison, Brendan Broderick, Lynn C. Hartmann, and Daniel W. Visscher, Mayo Clinic, Rochester, MN; V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; William D. Dupont, Vanderbilt University, Nashville, TN; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Tina J Hieken
- Amy C. Degnim, Stacey J. Winham, Ryan D. Frank, Robert A. Vierkant, Marlene H. Frost, Tanya L. Hoskin, Celine M. Vachon, Karthik Ghosh, Tina J. Hieken, Jodi M. Carter, Lori A. Denison, Brendan Broderick, Lynn C. Hartmann, and Daniel W. Visscher, Mayo Clinic, Rochester, MN; V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; William D. Dupont, Vanderbilt University, Nashville, TN; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Jodi M Carter
- Amy C. Degnim, Stacey J. Winham, Ryan D. Frank, Robert A. Vierkant, Marlene H. Frost, Tanya L. Hoskin, Celine M. Vachon, Karthik Ghosh, Tina J. Hieken, Jodi M. Carter, Lori A. Denison, Brendan Broderick, Lynn C. Hartmann, and Daniel W. Visscher, Mayo Clinic, Rochester, MN; V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; William D. Dupont, Vanderbilt University, Nashville, TN; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Lori A Denison
- Amy C. Degnim, Stacey J. Winham, Ryan D. Frank, Robert A. Vierkant, Marlene H. Frost, Tanya L. Hoskin, Celine M. Vachon, Karthik Ghosh, Tina J. Hieken, Jodi M. Carter, Lori A. Denison, Brendan Broderick, Lynn C. Hartmann, and Daniel W. Visscher, Mayo Clinic, Rochester, MN; V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; William D. Dupont, Vanderbilt University, Nashville, TN; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Brendan Broderick
- Amy C. Degnim, Stacey J. Winham, Ryan D. Frank, Robert A. Vierkant, Marlene H. Frost, Tanya L. Hoskin, Celine M. Vachon, Karthik Ghosh, Tina J. Hieken, Jodi M. Carter, Lori A. Denison, Brendan Broderick, Lynn C. Hartmann, and Daniel W. Visscher, Mayo Clinic, Rochester, MN; V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; William D. Dupont, Vanderbilt University, Nashville, TN; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Lynn C Hartmann
- Amy C. Degnim, Stacey J. Winham, Ryan D. Frank, Robert A. Vierkant, Marlene H. Frost, Tanya L. Hoskin, Celine M. Vachon, Karthik Ghosh, Tina J. Hieken, Jodi M. Carter, Lori A. Denison, Brendan Broderick, Lynn C. Hartmann, and Daniel W. Visscher, Mayo Clinic, Rochester, MN; V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; William D. Dupont, Vanderbilt University, Nashville, TN; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Daniel W Visscher
- Amy C. Degnim, Stacey J. Winham, Ryan D. Frank, Robert A. Vierkant, Marlene H. Frost, Tanya L. Hoskin, Celine M. Vachon, Karthik Ghosh, Tina J. Hieken, Jodi M. Carter, Lori A. Denison, Brendan Broderick, Lynn C. Hartmann, and Daniel W. Visscher, Mayo Clinic, Rochester, MN; V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; William D. Dupont, Vanderbilt University, Nashville, TN; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Derek C Radisky
- Amy C. Degnim, Stacey J. Winham, Ryan D. Frank, Robert A. Vierkant, Marlene H. Frost, Tanya L. Hoskin, Celine M. Vachon, Karthik Ghosh, Tina J. Hieken, Jodi M. Carter, Lori A. Denison, Brendan Broderick, Lynn C. Hartmann, and Daniel W. Visscher, Mayo Clinic, Rochester, MN; V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; William D. Dupont, Vanderbilt University, Nashville, TN; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
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Wahner Hendrickson AE, Menefee ME, Hartmann LC, Long HJ, Northfelt DW, Reid JM, Boakye-Agyeman F, Kayode O, Flatten KS, Harrell MI, Swisher EM, Poirier GG, Satele D, Allred J, Lensing JL, Chen A, Ji J, Zang Y, Erlichman C, Haluska P, Kaufmann SH. A Phase I Clinical Trial of the Poly(ADP-ribose) Polymerase Inhibitor Veliparib and Weekly Topotecan in Patients with Solid Tumors. Clin Cancer Res 2018; 24:744-752. [PMID: 29138343 PMCID: PMC7580251 DOI: 10.1158/1078-0432.ccr-17-1590] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2017] [Revised: 10/03/2017] [Accepted: 11/08/2017] [Indexed: 12/27/2022]
Abstract
Purpose: To determine the dose limiting toxicities (DLT), maximum tolerated dose (MTD), and recommended phase II dose (RP2D) of veliparib in combination with weekly topotecan in patients with solid tumors. Correlative studies were included to assess the impact of topotecan and veliparib on poly(ADP-ribose) levels in peripheral blood mononuclear cells, serum pharmacokinetics of both agents, and potential association of germline repair gene mutations with outcome.Experimental Design: Eligible patients had metastatic nonhematologic malignancies with measurable disease. Using a 3 + 3 design, patients were treated with veliparib orally twice daily on days 1-3, 8-10, and 15-17 and topotecan intravenously on days 2, 9, and 16 every 28 days. Tumor responses were assessed by RECIST.Results: Of 58 patients enrolled, 51 were evaluable for the primary endpoint. The MTD and RP2D was veliparib 300 mg twice daily on days 1-3, 8-10, and 15-17 along with topotecan 3 mg/m2 on days 2, 9, and 16 of a 28-day cycle. DLTs were grade 4 neutropenia lasting >5 days. The median number of cycles was 2 (1-26). The objective response rate was 10%, with 1 complete and 4 partial responses. Twenty-two patients (42%) had stable disease ranging from 4 to 26 cycles. Patients with germline BRCA1, BRCA2, or RAD51D mutations remained on study longer than those without homologous recombination repair (HRR) gene mutations (median 4 vs. 2 cycles).Conclusions: Weekly topotecan in combination with veliparib has a manageable safety profile and appears to warrant further investigation. Clin Cancer Res; 24(4); 744-52. ©2017 AACR.
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Winham SJ, Mehner C, Heinzen EP, Broderick BT, Stallings-Mann M, Nassar A, Vierkant RA, Hoskin TL, Frank RD, Wang C, Denison LA, Vachon CM, Frost MH, Hartmann LC, Aubrey Thompson E, Sherman ME, Visscher DW, Degnim AC, Radisky DC. NanoString-based breast cancer risk prediction for women with sclerosing adenosis. Breast Cancer Res Treat 2017; 166:641-650. [PMID: 28798985 PMCID: PMC5668350 DOI: 10.1007/s10549-017-4441-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2017] [Accepted: 08/04/2017] [Indexed: 01/13/2023]
Abstract
Purpose Sclerosing adenosis (SA), found in ¼ of benign breast disease (BBD) biopsies, is a histological feature characterized by lobulocentric proliferation of acini and stromal fibrosis and confers a two-fold increase in breast cancer risk compared to women in the general population. We evaluated a NanoString-based gene expression assay to model breast cancer risk using RNA derived from formalin-fixed, paraffin-embedded (FFPE) biopsies with SA. Methods The study group consisted of 151 women diagnosed with SA between 1967 and 2001 within the Mayo BBD cohort, of which 37 subsequently developed cancer within 10 years (cases) and 114 did not (controls). RNA was isolated from benign breast biopsies, and NanoString-based methods were used to assess expression levels of 61 genes, including 35 identified by previous array-based profiling experiments and 26 from biological insight. Diagonal linear discriminant analysis of these data was used to predict cancer within 10 years. Predictive performance was assessed with receiver operating characteristic area under the curve (ROC-AUC) values estimated from 5-fold cross-validation. Results Gene expression prediction models achieved cross-validated ROC-AUC estimates ranging from 0.66 to 0.70. Performing univariate associations within each of the five folds consistently identified genes DLK2, EXOC6, KIT, RGS12, and SORBS2 as significant; a model with only these five genes showed cross-validated ROC-AUC of 0.75, which compared favorably to risk prediction using established clinical models (Gail/BCRAT: 0.57; BBD-BC: 0.67). Conclusions Our results demonstrate that biomarkers of breast cancer risk can be detected in benign breast tissue years prior to cancer development in women with SA. These markers can be assessed using assay methods optimized for RNA derived from FFPE biopsy tissues which are commonly available. Electronic supplementary material The online version of this article (doi:10.1007/s10549-017-4441-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Stacey J Winham
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA
| | - Christine Mehner
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Ethan P Heinzen
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA
| | - Brendan T Broderick
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA
| | | | - Aziza Nassar
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Robert A Vierkant
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA
| | - Tanya L Hoskin
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA
| | - Ryan D Frank
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA
| | - Chen Wang
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA
| | - Lori A Denison
- Department of Information Technology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Celine M Vachon
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA
| | - Marlene H Frost
- Department of Medical Oncology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Lynn C Hartmann
- Department of Medical Oncology, Mayo Clinic, Rochester, MN, 55905, USA
| | - E Aubrey Thompson
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Mark E Sherman
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Daniel W Visscher
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Amy C Degnim
- Department of Surgery, Mayo Clinic, Rochester, MN, 55905, USA
| | - Derek C Radisky
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, 32224, USA.
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Stallings-Mann ML, Heinzen EP, Vierkant RA, Winham SJ, Hoskin TL, Denison LA, Nassar A, Hartmann LC, Visscher DW, Frost MH, Sherman ME, Degnim AC, Radisky DC. Postlactational involution biomarkers plasminogen and phospho-STAT3 are linked with active age-related lobular involution. Breast Cancer Res Treat 2017; 166:133-143. [PMID: 28752190 PMCID: PMC5645446 DOI: 10.1007/s10549-017-4413-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Accepted: 07/22/2017] [Indexed: 11/30/2022]
Abstract
Purpose Breast terminal duct lobular units undergo two distinctive physiological processes of involution: age-related lobular involution (LI), which is gradual and associated with decreased breast cancer risk, and postlactational involution, which is relatively precipitous, occurs with weaning, and has been associated with potentiation of tumor aggressiveness in animal models. Here we assessed whether markers of postlactational involution are associated with ongoing LI in a retrospective tissue cohort. Methods We selected 57 women from the Mayo Clinic Benign Breast Disease Cohort who underwent multiple biopsies and who were average age 48 at initial biopsy. Women were classified as having progressive or non-progressive LI between initial and subsequent biopsy. Serial tissue sections were immunostained for plasminogen, matrix metalloproteinase 9 (MMP-9), phospho-STAT3 (pSTAT3), tenascin C, Ki67, CD44, cytokeratin 14 (CK14), cytokeratin 19 (CK19), and c-myc. All but Ki67 were digitally quantified. Associations between maximal marker expression per sample and progressive versus non-progressive LI were assessed using logistic regression and adjusted for potential confounders. Results While no biomarker showed statistically significant association with LI progression when evaluated individually, lower expression of pSTAT3 (OR 0.35, 95% CI 0.13–0.82, p = 0.01) and higher expression of plasminogen (OR 2.89, 95% CI 1.14–8.81, p = 0.02) were associated with progressive LI in models simultaneously adjusted for all biomarkers. Sensitivity analyses indicated that the strengthening in association for pSTAT3 and plasminogen with progressive LI was due to collinearity between these two markers. Conclusions This is the first study to identify biomarkers of active LI. Our findings that plasminogen and pSTAT3 are significantly associated with LI suggest that they may represent signaling nodes or biomarkers of pathways common to the processes of postlactational involution and LI. Electronic supplementary material The online version of this article (doi:10.1007/s10549-017-4413-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | - Ethan P Heinzen
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA
| | - Robert A Vierkant
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA
| | - Stacey J Winham
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA
| | - Tanya L Hoskin
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA
| | - Lori A Denison
- Department of Information Technology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Aziza Nassar
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Lynn C Hartmann
- Department of Medical Oncology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Daniel W Visscher
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Marlene H Frost
- Department of Medical Oncology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Mark E Sherman
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, 32224, USA
| | - Amy C Degnim
- Department of Surgery, Mayo Clinic, Rochester, MN, 55905, USA
| | - Derek C Radisky
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, 32224, USA.
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7
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Kommoss S, Winterhoff B, Oberg AL, Konecny GE, Wang C, Riska SM, Fan JB, Maurer MJ, April C, Shridhar V, Kommoss F, du Bois A, Hilpert F, Mahner S, Baumann K, Schroeder W, Burges A, Canzler U, Chien J, Embleton AC, Parmar M, Kaplan R, Perren T, Hartmann LC, Goode EL, Dowdy SC, Pfisterer J. Bevacizumab May Differentially Improve Ovarian Cancer Outcome in Patients with Proliferative and Mesenchymal Molecular Subtypes. Clin Cancer Res 2017. [PMID: 28159814 DOI: 10.1158/1078-0432.ccr-16-2196] [] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Purpose: Recent progress in understanding the molecular biology of epithelial ovarian cancer has not yet translated into individualized treatment for these women or improvements in their disease outcome. Gene expression has been utilized to identify distinct molecular subtypes, but there have been no reports investigating whether or not molecular subtyping is predictive of response to bevacizumab in ovarian cancer.Experimental Design: DASL gene expression arrays were performed on FFPE tissue from patients enrolled on the ICON7 trial. Patients were stratified into four TCGA molecular subtypes. Associations between molecular subtype and the efficacy of randomly assigned therapy with bevacizumab were assessed.Results: Molecular subtypes were assigned as follows: 122 immunoreactive (34%), 96 proliferative (27%), 73 differentiated (20%), and 68 mesenchymal (19%). In univariate analysis patients with tumors of proliferative subtype obtained the greatest benefit from bevacizumab with a median PFS improvement of 10.1 months [HR, 0.55 (95% CI, 0.34-0.90), P = 0.016]. For the mesenchymal subtype, bevacizumab conferred a nonsignificant improvement in PFS of 8.2 months [HR 0.78 (95% CI, 0.44-1.40), P = 0.41]. Bevacizumab conferred modest improvements in PFS for patients with immunoreactive subtype (3.8 months; P = 0.08) or differentiated subtype (3.7 months; P = 0.61). Multivariate analysis demonstrated significant PFS improvement in proliferative subtype patients only [HR, 0.45 (95% CI, 0.27-0.74), P = 0.0015].Conclusions: Ovarian carcinoma molecular subtypes with the poorest survival (proliferative and mesenchymal) derive a comparably greater benefit from treatment that includes bevacizumab. Validation of our findings in an independent cohort could enable the use of bevacizumab for those patients most likely to benefit, thereby reducing side effects and healthcare cost. Clin Cancer Res; 23(14); 3794-801. ©2017 AACR.
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Affiliation(s)
- Stefan Kommoss
- Department of Women's Health, Tuebingen University Hospital, Tuebingen, Germany
| | - Boris Winterhoff
- Division of Gynecologic Surgery, Mayo Clinic, Minnesota.,Department of Obstetrics, Gynecology and Women's Health, Division of Gynecologic Oncology, University of Minnesota, Minnesota
| | - Ann L Oberg
- Department of Health Sciences Research, Mayo Clinic, Minnesota
| | | | - Chen Wang
- Department of Health Sciences Research, Mayo Clinic, Minnesota
| | - Shaun M Riska
- Department of Health Sciences Research, Mayo Clinic, Minnesota
| | - Jian-Bing Fan
- AnchorDx Corporation, Guangzhou, China.,Illumina Inc., San Diego, California
| | | | | | - Viji Shridhar
- Department of Laboratory Medicine, Mayo Clinic, Minnesota
| | | | - Andreas du Bois
- Kliniken Essen Mitte (KEM), Deptartment of Gynecology and GynecologicOncology, Essen, Germany
| | - Felix Hilpert
- Department of Gynecology and Obstetrics, Schleswig-Holstein University, Kiel, Germany
| | - Sven Mahner
- Department of Obstetrics and Gynecology, Ludwig Maximillian University Munich, Germany
| | - Klaus Baumann
- Department of Gynecology and Gynecologic Oncology, Philipps University Marburg, Germany
| | | | - Alexander Burges
- Klinikum der Universitaet Muenchen, Campus Grosshadern, Klinik und Poliklinik fuer Frauenheilkunde und Geburtshilfe, Munich, Germany
| | - Ulrich Canzler
- Department of Gynecology and Obstetrics, Technical University Dresden, Dresden, Germany
| | - Jeremy Chien
- Department of Cancer Biology, University of Kansas Cancer Center, Kansas City, Kansas
| | - Andrew C Embleton
- Medical Research Council Clinical Trials Unit at University College London, UK
| | - Mahesh Parmar
- Medical Research Council Clinical Trials Unit at University College London, UK
| | - Richard Kaplan
- Medical Research Council Clinical Trials Unit at University College London, UK
| | - Timothy Perren
- Leeds Institute of Cancer Medicine and Pathology, University of Leeds, UK
| | | | - Ellen L Goode
- Department of Health Sciences Research, Mayo Clinic, Minnesota
| | - Sean C Dowdy
- Division of Gynecologic Surgery, Mayo Clinic, Minnesota.
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8
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Visscher DW, Frank RD, Carter JM, Vierkant RA, Winham SJ, Heinzen EP, Broderick BT, Denison LA, Allers TM, Johnson JL, Frost MH, Hartmann LC, Degnim AC, Radisky DC. Breast Cancer Risk and Progressive Histology in Serial Benign Biopsies. J Natl Cancer Inst 2017; 109:3074330. [PMID: 28376198 PMCID: PMC5412118 DOI: 10.1093/jnci/djx035] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2016] [Accepted: 02/15/2017] [Indexed: 01/11/2023] Open
Abstract
Background: More than 1 million women per year in the United States with benign breast biopsies are known to be at elevated risk for breast cancer (BC), with risk stratified on histologic categories of epithelial proliferation. Here we assessed women who had serial benign biopsies over time and how changes in the histologic classification affected BC risk. Methods: In the Mayo Clinic Benign Breast Disease Cohort of 13 466 women, 1414 women had multiple metachronous benign biopsies (10.5%). Both initial and subsequent biopsies were assessed histologically. BC risk for clinical and prognostic factors was assessed using subdistribution models to account for competing risks, and logistic regression/Wilcoxon/chi-square tests to assess covariates. All statistical tests were two-sided. Results: Breast cancer risk for women with serial biopsies, stratified by histologic category in the later biopsies, was similar to women with a single biopsy. We found that changes in histological category between initial and subsequent biopsy statistically significantly impacted BC risk. Women with nonproliferative initial findings and subsequent proliferative findings had an increased risk (hazard ratio [HR] = 1.77, 95% confidence interval [CI] = 1.06 to 2.94, P = .03) compared with no change. Among women with proliferative disease without atypia at initial biopsy, risk decreased if later biopsy regressed to nonproliferative (HR = 0.49, 95% CI = 0.25 to 0.98) and increased if later biopsy showed progression to atypical hyperplasia (HR = 1.49, 95% CI = 0.73 to 3.05) compared with no change (P = .04). Conclusions: We found that breast cancer risk increases in women with progressive epithelial proliferation over time and decreases in women whose biopsies show less proliferation. This finding has important implications for effective clinical management of the 100 000 women per year who have multiple benign breast biopsies.
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Affiliation(s)
- Daniel W. Visscher
- Affiliations of authors: Department of Laboratory Medicine and Pathology (DWV and JMC), Department of Health Sciences Research (RAV, SJW, EPH, BTB), Department of Oncology (TMA, JLJ, MHF, LCH), Department of Information Technology (LAD), and Department of Surgery (ACD), Mayo Clinic Rochester, MN; Departments of Health Science Research (RDF) and Cancer Biology (DCR), Mayo Clinic Jacksonville, FL
| | - Ryan D. Frank
- Affiliations of authors: Department of Laboratory Medicine and Pathology (DWV and JMC), Department of Health Sciences Research (RAV, SJW, EPH, BTB), Department of Oncology (TMA, JLJ, MHF, LCH), Department of Information Technology (LAD), and Department of Surgery (ACD), Mayo Clinic Rochester, MN; Departments of Health Science Research (RDF) and Cancer Biology (DCR), Mayo Clinic Jacksonville, FL
| | - Jodi M. Carter
- Affiliations of authors: Department of Laboratory Medicine and Pathology (DWV and JMC), Department of Health Sciences Research (RAV, SJW, EPH, BTB), Department of Oncology (TMA, JLJ, MHF, LCH), Department of Information Technology (LAD), and Department of Surgery (ACD), Mayo Clinic Rochester, MN; Departments of Health Science Research (RDF) and Cancer Biology (DCR), Mayo Clinic Jacksonville, FL
| | - Robert A. Vierkant
- Affiliations of authors: Department of Laboratory Medicine and Pathology (DWV and JMC), Department of Health Sciences Research (RAV, SJW, EPH, BTB), Department of Oncology (TMA, JLJ, MHF, LCH), Department of Information Technology (LAD), and Department of Surgery (ACD), Mayo Clinic Rochester, MN; Departments of Health Science Research (RDF) and Cancer Biology (DCR), Mayo Clinic Jacksonville, FL
| | - Stacey J. Winham
- Affiliations of authors: Department of Laboratory Medicine and Pathology (DWV and JMC), Department of Health Sciences Research (RAV, SJW, EPH, BTB), Department of Oncology (TMA, JLJ, MHF, LCH), Department of Information Technology (LAD), and Department of Surgery (ACD), Mayo Clinic Rochester, MN; Departments of Health Science Research (RDF) and Cancer Biology (DCR), Mayo Clinic Jacksonville, FL
| | - Ethan P. Heinzen
- Affiliations of authors: Department of Laboratory Medicine and Pathology (DWV and JMC), Department of Health Sciences Research (RAV, SJW, EPH, BTB), Department of Oncology (TMA, JLJ, MHF, LCH), Department of Information Technology (LAD), and Department of Surgery (ACD), Mayo Clinic Rochester, MN; Departments of Health Science Research (RDF) and Cancer Biology (DCR), Mayo Clinic Jacksonville, FL
| | - Brendan T. Broderick
- Affiliations of authors: Department of Laboratory Medicine and Pathology (DWV and JMC), Department of Health Sciences Research (RAV, SJW, EPH, BTB), Department of Oncology (TMA, JLJ, MHF, LCH), Department of Information Technology (LAD), and Department of Surgery (ACD), Mayo Clinic Rochester, MN; Departments of Health Science Research (RDF) and Cancer Biology (DCR), Mayo Clinic Jacksonville, FL
| | - Lori A. Denison
- Affiliations of authors: Department of Laboratory Medicine and Pathology (DWV and JMC), Department of Health Sciences Research (RAV, SJW, EPH, BTB), Department of Oncology (TMA, JLJ, MHF, LCH), Department of Information Technology (LAD), and Department of Surgery (ACD), Mayo Clinic Rochester, MN; Departments of Health Science Research (RDF) and Cancer Biology (DCR), Mayo Clinic Jacksonville, FL
| | - Teresa M. Allers
- Affiliations of authors: Department of Laboratory Medicine and Pathology (DWV and JMC), Department of Health Sciences Research (RAV, SJW, EPH, BTB), Department of Oncology (TMA, JLJ, MHF, LCH), Department of Information Technology (LAD), and Department of Surgery (ACD), Mayo Clinic Rochester, MN; Departments of Health Science Research (RDF) and Cancer Biology (DCR), Mayo Clinic Jacksonville, FL
| | - Joanne L. Johnson
- Affiliations of authors: Department of Laboratory Medicine and Pathology (DWV and JMC), Department of Health Sciences Research (RAV, SJW, EPH, BTB), Department of Oncology (TMA, JLJ, MHF, LCH), Department of Information Technology (LAD), and Department of Surgery (ACD), Mayo Clinic Rochester, MN; Departments of Health Science Research (RDF) and Cancer Biology (DCR), Mayo Clinic Jacksonville, FL
| | - Marlene H. Frost
- Affiliations of authors: Department of Laboratory Medicine and Pathology (DWV and JMC), Department of Health Sciences Research (RAV, SJW, EPH, BTB), Department of Oncology (TMA, JLJ, MHF, LCH), Department of Information Technology (LAD), and Department of Surgery (ACD), Mayo Clinic Rochester, MN; Departments of Health Science Research (RDF) and Cancer Biology (DCR), Mayo Clinic Jacksonville, FL
| | - Lynn C. Hartmann
- Affiliations of authors: Department of Laboratory Medicine and Pathology (DWV and JMC), Department of Health Sciences Research (RAV, SJW, EPH, BTB), Department of Oncology (TMA, JLJ, MHF, LCH), Department of Information Technology (LAD), and Department of Surgery (ACD), Mayo Clinic Rochester, MN; Departments of Health Science Research (RDF) and Cancer Biology (DCR), Mayo Clinic Jacksonville, FL
| | - Amy C. Degnim
- Affiliations of authors: Department of Laboratory Medicine and Pathology (DWV and JMC), Department of Health Sciences Research (RAV, SJW, EPH, BTB), Department of Oncology (TMA, JLJ, MHF, LCH), Department of Information Technology (LAD), and Department of Surgery (ACD), Mayo Clinic Rochester, MN; Departments of Health Science Research (RDF) and Cancer Biology (DCR), Mayo Clinic Jacksonville, FL
| | - Derek C. Radisky
- Affiliations of authors: Department of Laboratory Medicine and Pathology (DWV and JMC), Department of Health Sciences Research (RAV, SJW, EPH, BTB), Department of Oncology (TMA, JLJ, MHF, LCH), Department of Information Technology (LAD), and Department of Surgery (ACD), Mayo Clinic Rochester, MN; Departments of Health Science Research (RDF) and Cancer Biology (DCR), Mayo Clinic Jacksonville, FL
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9
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Kommoss S, Winterhoff B, Oberg AL, Konecny GE, Wang C, Riska SM, Fan JB, Maurer MJ, April C, Shridhar V, Kommoss F, du Bois A, Hilpert F, Mahner S, Baumann K, Schroeder W, Burges A, Canzler U, Chien J, Embleton AC, Parmar M, Kaplan R, Perren T, Hartmann LC, Goode EL, Dowdy SC, Pfisterer J. Bevacizumab May Differentially Improve Ovarian Cancer Outcome in Patients with Proliferative and Mesenchymal Molecular Subtypes. Clin Cancer Res 2017; 23:3794-3801. [PMID: 28159814 DOI: 10.1158/1078-0432.ccr-16-2196] [Citation(s) in RCA: 88] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Revised: 01/06/2017] [Accepted: 01/18/2017] [Indexed: 01/25/2023]
Abstract
Purpose: Recent progress in understanding the molecular biology of epithelial ovarian cancer has not yet translated into individualized treatment for these women or improvements in their disease outcome. Gene expression has been utilized to identify distinct molecular subtypes, but there have been no reports investigating whether or not molecular subtyping is predictive of response to bevacizumab in ovarian cancer.Experimental Design: DASL gene expression arrays were performed on FFPE tissue from patients enrolled on the ICON7 trial. Patients were stratified into four TCGA molecular subtypes. Associations between molecular subtype and the efficacy of randomly assigned therapy with bevacizumab were assessed.Results: Molecular subtypes were assigned as follows: 122 immunoreactive (34%), 96 proliferative (27%), 73 differentiated (20%), and 68 mesenchymal (19%). In univariate analysis patients with tumors of proliferative subtype obtained the greatest benefit from bevacizumab with a median PFS improvement of 10.1 months [HR, 0.55 (95% CI, 0.34-0.90), P = 0.016]. For the mesenchymal subtype, bevacizumab conferred a nonsignificant improvement in PFS of 8.2 months [HR 0.78 (95% CI, 0.44-1.40), P = 0.41]. Bevacizumab conferred modest improvements in PFS for patients with immunoreactive subtype (3.8 months; P = 0.08) or differentiated subtype (3.7 months; P = 0.61). Multivariate analysis demonstrated significant PFS improvement in proliferative subtype patients only [HR, 0.45 (95% CI, 0.27-0.74), P = 0.0015].Conclusions: Ovarian carcinoma molecular subtypes with the poorest survival (proliferative and mesenchymal) derive a comparably greater benefit from treatment that includes bevacizumab. Validation of our findings in an independent cohort could enable the use of bevacizumab for those patients most likely to benefit, thereby reducing side effects and healthcare cost. Clin Cancer Res; 23(14); 3794-801. ©2017 AACR.
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Affiliation(s)
- Stefan Kommoss
- Department of Women's Health, Tuebingen University Hospital, Tuebingen, Germany
| | - Boris Winterhoff
- Division of Gynecologic Surgery, Mayo Clinic, Minnesota.,Department of Obstetrics, Gynecology and Women's Health, Division of Gynecologic Oncology, University of Minnesota, Minnesota
| | - Ann L Oberg
- Department of Health Sciences Research, Mayo Clinic, Minnesota
| | | | - Chen Wang
- Department of Health Sciences Research, Mayo Clinic, Minnesota
| | - Shaun M Riska
- Department of Health Sciences Research, Mayo Clinic, Minnesota
| | - Jian-Bing Fan
- AnchorDx Corporation, Guangzhou, China.,Illumina Inc., San Diego, California
| | | | | | - Viji Shridhar
- Department of Laboratory Medicine, Mayo Clinic, Minnesota
| | | | - Andreas du Bois
- Kliniken Essen Mitte (KEM), Deptartment of Gynecology and GynecologicOncology, Essen, Germany
| | - Felix Hilpert
- Department of Gynecology and Obstetrics, Schleswig-Holstein University, Kiel, Germany
| | - Sven Mahner
- Department of Obstetrics and Gynecology, Ludwig Maximillian University Munich, Germany
| | - Klaus Baumann
- Department of Gynecology and Gynecologic Oncology, Philipps University Marburg, Germany
| | | | - Alexander Burges
- Klinikum der Universitaet Muenchen, Campus Grosshadern, Klinik und Poliklinik fuer Frauenheilkunde und Geburtshilfe, Munich, Germany
| | - Ulrich Canzler
- Department of Gynecology and Obstetrics, Technical University Dresden, Dresden, Germany
| | - Jeremy Chien
- Department of Cancer Biology, University of Kansas Cancer Center, Kansas City, Kansas
| | - Andrew C Embleton
- Medical Research Council Clinical Trials Unit at University College London, UK
| | - Mahesh Parmar
- Medical Research Council Clinical Trials Unit at University College London, UK
| | - Richard Kaplan
- Medical Research Council Clinical Trials Unit at University College London, UK
| | - Timothy Perren
- Leeds Institute of Cancer Medicine and Pathology, University of Leeds, UK
| | | | - Ellen L Goode
- Department of Health Sciences Research, Mayo Clinic, Minnesota
| | - Sean C Dowdy
- Division of Gynecologic Surgery, Mayo Clinic, Minnesota.
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10
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Vierkant RA, Degnim AC, Radisky DC, Visscher DW, Heinzen EP, Frank RD, Winham SJ, Frost MH, Scott CG, Jensen MR, Ghosh K, Manduca A, Brandt KR, Whaley DH, Hartmann LC, Vachon CM. Mammographic breast density and risk of breast cancer in women with atypical hyperplasia: an observational cohort study from the Mayo Clinic Benign Breast Disease (BBD) cohort. BMC Cancer 2017; 17:84. [PMID: 28143431 PMCID: PMC5282712 DOI: 10.1186/s12885-017-3082-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Accepted: 01/23/2017] [Indexed: 02/07/2023] Open
Abstract
Background Atypical hyperplasia (AH) and mammographic breast density (MBD) are established risk factors for breast cancer (BC), but their joint contributions are not well understood. We examine associations of MBD and BC by histologic impression, including AH, in a subcohort of women from the Mayo Clinic Benign Breast Disease Cohort. Methods Women with a diagnosis of BBD and mammogram between 1985 and 2001 were eligible. Histologic impression was assessed via pathology review and coded as non-proliferative disease (NP), proliferative disease without atypia (PDWA) and AH. MBD was assessed clinically using parenchymal pattern (PP) or BI-RADS criteria and categorized as low, moderate or high. Percent density (PD) was also available for a subset of women. BC and clinical information were obtained by questionnaires, medical records and the Mayo Clinic Tumor Registry. Women were followed from date of benign biopsy to BC, death or last contact. Standardized incidence ratios (SIRs) compared the observed number of BCs to expected counts. Cox regression estimated multivariate-adjusted MBD hazard ratios. Results Of the 6271 women included in the study, 1132 (18.0%) had low MBD, 2921 (46.6%) had moderate MBD, and 2218 (35.4%) had high MBD. A total of 3532 women (56.3%) had NP, 2269 (36.2%) had PDWA and 470 (7.5%) had AH. Over a median follow-up of 14.3 years, 528 BCs were observed. The association of MBD and BC risk differed by histologic impression (p-interaction = 0.03), such that there was a strong MBD and BC association among NP (p < 0.001) but non-significant associations for PDWA (p = 0.27) and AH (p = 0.96). MBD and BC associations for AH women were not significant within subsets defined by type of MBD measure (PP vs. BI-RADS), age at biopsy, number of foci of AH, type of AH (lobular vs. ductal) and body mass index, and after adjustment for potential confounding variables. Women with atypia who also had high PD (>50%) demonstrated marginal evidence of increased BC risk (SIR 4.98), but results were not statistically significant. Conclusion We found no evidence of an association between MBD and subsequent BC risk in women with AH. Electronic supplementary material The online version of this article (doi:10.1186/s12885-017-3082-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Robert A Vierkant
- Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Amy C Degnim
- Department of Subspecialty General Surgery, Mayo Clinic, Rochester, MN, USA
| | - Derek C Radisky
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA
| | | | - Ethan P Heinzen
- Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Ryan D Frank
- Department of Health Sciences Research, Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, FL, USA
| | - Stacey J Winham
- Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Marlene H Frost
- Department of Medical Oncology, Division of the Women's Cancer Program, Mayo Clinic, Rochester, MN, USA
| | - Christopher G Scott
- Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Matthew R Jensen
- Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Karthik Ghosh
- Department of General Internal Medicine, Division of the Breast Diagnostic Clinic, Mayo Clinic, Rochester, MN, USA
| | - Armando Manduca
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA
| | | | - Dana H Whaley
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Lynn C Hartmann
- Department of Medical Oncology, Mayo Clinic, Rochester, MN, USA
| | - Celine M Vachon
- Department of Health Sciences Research, Division of Epidemiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
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11
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Mullooly M, Yang HP, Falk RT, Nyante SJ, Cora R, Pfeiffer RM, Radisky DC, Visscher DW, Hartmann LC, Carter JM, Degnim AC, Stanczyk FZ, Figueroa JD, Garcia-Closas M, Lissowska J, Troester MA, Hewitt SM, Brinton LA, Sherman ME, Gierach GL. Relationship between crown-like structures and sex-steroid hormones in breast adipose tissue and serum among postmenopausal breast cancer patients. Breast Cancer Res 2017; 19:8. [PMID: 28103902 PMCID: PMC5244534 DOI: 10.1186/s13058-016-0791-4] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Accepted: 12/05/2016] [Indexed: 01/16/2023] Open
Abstract
Background Postmenopausal obesity is associated with increased circulating levels of androgens and estrogens and elevated breast cancer risk. Crown-like structures (CLS; microscopic foci of dying adipocytes surrounded by macrophages) are proposed to represent sites of increased aromatization of androgens to estrogens. Accordingly, we examined relationships between CLS and sex-steroid hormones in breast adipose tissue and serum from postmenopausal breast cancer patients. Methods Formalin-fixed paraffin embedded benign breast tissues collected for research from postmenopausal women (n = 83) diagnosed with invasive breast cancer in the Polish Breast Cancer Study (PBCS) were evaluated. Tissues were immunohistochemically stained for CD68 to determine the presence of CLS per unit area of adipose tissue. Relationships were assessed between CD68 density and CLS and previously reported sex-steroid hormones quantified using radioimmunoassays in serum taken at the time of diagnosis and in fresh frozen adipose tissue taken at the time of surgery. Logistic regression analysis was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the relationships between hormones (in tertiles) and CLS. Results CLS were observed in 36% of benign breast tissues, with a higher frequency among obese versus lean women (54% versus 17%, p = 0.03). Detection of CLS was not related to individual hormone levels or breast tumor pathology characteristics. However, detection of CLS was associated with hormone ratios. Compared with women in the highest tertile of estrone:androstenedione ratio in fat, those in the lowest tertile were less likely to have CLS (OR 0.12, 95% CI 0.03–0.59). A similar pattern was observed with estradiol:testosterone ratio in serum and CLS (lowest versus highest tertile, OR 0.18, 95% CI 0.04–0.72). Conclusions CLS were more frequently identified in the breast fat of obese women and were associated with increased ratios of select estrogens:androgens in the blood and tissues, but not with individual hormones. Additional studies on CLS, tissue and blood hormone levels, and breast cancer risk are needed to understand and confirm these findings. Electronic supplementary material The online version of this article (doi:10.1186/s13058-016-0791-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Maeve Mullooly
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD, 20892, USA. .,Cancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA.
| | - Hannah P Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD, 20892, USA
| | - Roni T Falk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD, 20892, USA
| | - Sarah J Nyante
- Department of Radiology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Renata Cora
- Independent contractor, CT(ASCP), MB(ASCP), Stamford, CT, USA
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD, 20892, USA
| | | | | | | | | | | | - Frank Z Stanczyk
- Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jonine D Figueroa
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Medical School, Teviot Place, Edinburgh, UK
| | - Montserrat Garcia-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD, 20892, USA
| | - Jolanta Lissowska
- Department of Cancer Epidemiology and Prevention, Cancer Center and M. Sklodowska-Curie Institute of Oncology, Warsaw, Poland
| | - Melissa A Troester
- Department of Epidemiology and Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Stephen M Hewitt
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD, 20892, USA
| | - Mark E Sherman
- Breast and Gynecologic Cancer Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD, 20892, USA
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12
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Figueroa JD, Pfeiffer RM, Brinton LA, Palakal MM, Degnim AC, Radisky D, Hartmann LC, Frost MH, Stallings Mann ML, Papathomas D, Gierach GL, Hewitt SM, Duggan MA, Visscher D, Sherman ME. Standardized measures of lobular involution and subsequent breast cancer risk among women with benign breast disease: a nested case-control study. Breast Cancer Res Treat 2016; 159:163-72. [PMID: 27488681 DOI: 10.1007/s10549-016-3908-7] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2015] [Accepted: 07/11/2016] [Indexed: 01/21/2023]
Abstract
Lesser degrees of terminal duct-lobular unit (TDLU) involution predict higher breast cancer risk; however, standardized measures to quantitate levels of TDLU involution have only recently been developed. We assessed whether three standardized measures of TDLU involution, with high intra/inter pathologist reproducibility in normal breast tissue, predict subsequent breast cancer risk among women in the Mayo benign breast disease (BBD) cohort. We performed a masked evaluation of biopsies from 99 women with BBD who subsequently developed breast cancer (cases) after a median of 16.9 years and 145 age-matched controls. We assessed three metrics inversely related to TDLU involution: TDLU count/mm(2), median TDLU span (microns, which approximates acini content), and median category of acini counts/TDLU (0-10; 11-20; 21-30; 31-50; >50). Associations with subsequent breast cancer risk for quartiles (or categories of acini counts) of each of these measures were assessed with multivariable conditional logistic regression to estimate odds ratios (ORs) and 95 % confidence intervals (CI). In multivariable models, women in the highest quartile compared to the lowest quartiles of TDLU counts and TDLU span measures were significantly associated with subsequent breast cancer diagnoses; TDLU counts quartile4 versus quartile1, OR = 2.44, 95 %CI 0.96-6.19, p-trend = 0.02; and TDLU spans, quartile4 versus quartile1, OR = 2.83, 95 %CI = 1.13-7.06, p-trend = 0.03. Significant associations with categorical measures of acini counts/TDLU were also observed: compared to women with median category of <10 acini/TDLU, women with >25 acini counts/TDLU were at significantly higher risk, OR = 3.40, 95 %CI 1.03-11.17, p-trend = 0.032. Women with TDLU spans and TDLU count measures above the median were at further increased risk, OR = 3.75 (95 %CI 1.40-10.00, p-trend = 0.008), compared with women below the median for both of these metrics. Similar results were observed for combinatorial metrics of TDLU acini counts/TDLU, and TDLU count. Standardized quantitative measures of TDLU counts and acini counts approximated by TDLU span measures or visually assessed in categories are independently associated with breast cancer risk. Visual assessment of TDLU numbers and acini content, which are highly reproducible between pathologists, could help identify women at high risk for subsequent breast cancer among the million women diagnosed annually with BBD in the US.
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Affiliation(s)
- Jonine D Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA. .,Medical School, The Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, UK.
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Louise A Brinton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Maya M Palakal
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | | | | | | | | | - Daphne Papathomas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Stephen M Hewitt
- Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Maire A Duggan
- Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, AB, Canada
| | | | - Mark E Sherman
- Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA
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Radisky D, Visscher DW, Frank R, Vierkant RA, Winham SJ, Stallings-Mann ML, Hoskin TL, Nassar A, Vachon CM, Denison LA, Hartmann LC, Frost MH, Degnim AC. Abstract LB-364: Natural history of age-related lobular involution and impact on breast cancer risk. Cancer Res 2016. [DOI: 10.1158/1538-7445.am2016-lb-364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Age-related lobular involution (LI) is a physiological process in which the terminal duct lobular units of the breast regress as a woman ages. Analyses of breast biopsies from women with benign breast disease (BBD) have found that extent of LI is negatively associated with subsequent breast cancer development. Here we assess the natural course of LI within individual women, and the impact of progressive LI on breast cancer risk.
Methods: The Mayo Clinic BBD cohort consists of 13,455 women with BBD from 1967-2001. The BBD cohort includes 1115 women who had multiple benign biopsies, 106 of whom had developed breast cancer. Within this multiple biopsy cohort, the progression of the LI process was examined by age at initial biopsy and time between biopsies. The relationship between LI progression and breast cancer risk was assessed using standardized incidence ratios (SIRs) and by Cox proportional hazards analysis.
Results: Women who had multiple biopsies were younger age and had a slightly higher family history of breast cancer as compared with the overall BBD cohort. Extent of LI at subsequent biopsy was greater with increasing time between biopsies and for women age 55+ at initial biopsy. Among women with multiple biopsies, there was a significant association of higher breast cancer risk among those with involution stasis (lack of progression, HR 1.63) as compared with those with involution progression, p = 0.036.
Conclusions: The multiple biopsy BBD cohort allows for a longitudinal study of the natural progression of LI. The majority of women in the multiple biopsy cohort showed progression of LI status between benign biopsies, and extent of progression was highest for women who were in the perimenopausal age range at initial biopsy. Progression of LI status between initial and subsequent biopsy was associated with decreased breast cancer risk.
Citation Format: Derek Radisky, Daniel W. Visscher, Ryan Frank, Robert A. Vierkant, Stacey J. Winham, Melody L. Stallings-Mann, Tanya L. Hoskin, Aziza Nassar, Celine M. Vachon, Lori A. Denison, Lynn C. Hartmann, Marlene H. Frost, Amy C. Degnim. Natural history of age-related lobular involution and impact on breast cancer risk. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr LB-364.
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Degnim AC, Dupont WD, Radisky DC, Vierkant RA, Frank RD, Frost MH, Winham SJ, Sanders ME, Smith JR, Page DL, Hoskin TL, Vachon CM, Ghosh K, Hieken TJ, Denison LA, Carter JM, Hartmann LC, Visscher DW. Extent of atypical hyperplasia stratifies breast cancer risk in 2 independent cohorts of women. Cancer 2016; 122:2971-8. [PMID: 27352219 DOI: 10.1002/cncr.30153] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2016] [Revised: 03/31/2016] [Accepted: 04/08/2016] [Indexed: 11/08/2022]
Abstract
BACKGROUND Women with atypical hyperplasia (AH) on breast biopsy have a substantially increased risk of breast cancer (BC). Here the BC risk for the extent and subtype of AH is reported for 2 separate cohorts. METHODS All samples containing AH were included from 2 cohorts of women with benign breast disease (Mayo Clinic and Nashville). Histology review quantified the number of foci of atypical ductal hyperplasia (ADH) and atypical lobular hyperplasia (ALH). The BC risk was stratified for the number of AH foci within AH subtypes. RESULTS The study included 708 Mayo AH subjects and 466 Nashville AH subjects. In the Mayo cohort, an increasing number of foci of AH was associated with a significant increase in the risk of BC both for ADH (relative risks of 2.61, 5.21, and 6.36 for 1, 2, and ≥3 foci, respectively; P for linear trend = .006) and for ALH (relative risks of 2.56, 3.50, and 6.79 for 1, 2, and ≥3 foci, respectively; P for linear trend = .001). In the Nashville cohort, the relative risks of BC for ADH were 2.70, 5.17, and 15.06 for 1, 2, and ≥3 foci, respectively (P for linear trend < .001); for ALH, the relative risks also increased but not significantly (2.61, 3.48, and 4.02, respectively; P = .148). When the Mayo and Nashville samples were combined, the risk increased significantly for 1, 2, and ≥3 foci: the relative risks were 2.65, 5.19, and 8.94, respectively, for ADH (P < .001) and 2.58, 3.49, and 4.97, respectively, for ALH (P = .001). CONCLUSIONS In 2 independent cohort studies of benign breast disease, the extent of atypia stratified the long-term BC risk for ADH and ALH. Cancer 2016;122:2971-2978. © 2016 American Cancer Society.
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Affiliation(s)
- Amy C Degnim
- Division of Subspecialty General Surgery, Mayo Clinic, Rochester, Minnesota.
| | - William D Dupont
- Department of Biostatistics, Vanderbilt University, Nashville, Tennessee
| | | | - Robert A Vierkant
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Ryan D Frank
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, Florida
| | - Marlene H Frost
- Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota
| | - Stacey J Winham
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Melinda E Sanders
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University, Nashville, Tennessee
| | - Jeffrey R Smith
- Division of Genetic Medicine, Vanderbilt University, Nashville, Tennessee
| | - David L Page
- Breast Pathology Consultants, Nashville, Tennessee
| | - Tanya L Hoskin
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | | | - Karthik Ghosh
- Breast Diagnostic Clinic, Mayo Clinic, Rochester, Minnesota
| | - Tina J Hieken
- Division of Subspecialty General Surgery, Mayo Clinic, Rochester, Minnesota
| | - Lori A Denison
- Information Technology, Mayo Clinic, Rochester, Minnesota
| | - Jodi M Carter
- Division of Anatomic Pathology, Mayo Clinic, Rochester, Minnesota
| | - Lynn C Hartmann
- Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota
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Degnim AC, Visscher DW, Radisky DC, Frost MH, Vierkant RA, Frank RD, Winham SJ, Vachon CM, Dupont WD, Hartmann LC. Breast cancer risk by the extent and type of atypical hyperplasia. Cancer 2016; 122:3087-8. [PMID: 27352099 DOI: 10.1002/cncr.30151] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Amy C Degnim
- Division of Subspecialty General Surgery, Mayo Clinic, Rochester, Minnesota
| | | | | | - Marlene H Frost
- Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota
| | - Robert A Vierkant
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Ryan D Frank
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, Florida
| | - Stacey J Winham
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | | | - William D Dupont
- Department of Biostatistics, Vanderbilt University, Nashville, Tennessee
| | - Lynn C Hartmann
- Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota
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Wang C, Winterhoff BJ, Kalli KR, Block MS, Armasu SM, Larson MC, Chen HW, Keeney GL, Hartmann LC, Shridhar V, Konecny GE, Goode EL, Fridley BL. Expression signature distinguishing two tumour transcriptome classes associated with progression-free survival among rare histological types of epithelial ovarian cancer. Br J Cancer 2016; 114:1412-20. [PMID: 27253175 PMCID: PMC4984456 DOI: 10.1038/bjc.2016.124] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Accepted: 04/14/2016] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND The mechanisms of recurrence have been under-studied in rare histologies of invasive epithelial ovarian cancer (EOC) (endometrioid, clear cell, mucinous, and low-grade serous). We hypothesised the existence of an expression signature predictive of outcome in the rarer histologies. METHODS In split discovery and validation analysis of 131 Mayo Clinic EOC cases, we used clustering to determine clinically relevant transcriptome classes using microarray gene expression measurements. The signature was validated in 967 EOC tumours (91 rare histological subtypes) with recurrence information. RESULTS We found two validated transcriptome classes associated with progression-free survival (PFS) in the Mayo Clinic EOC cases (P=8.24 × 10(-3)). This signature was further validated in the public expression data sets involving the rare EOC histologies, where these two classes were also predictive of PFS (P=1.43 × 10(-3)). In contrast, the signatures were not predictive of PFS in the high-grade serous EOC cases. Moreover, genes upregulated in Class-1 (with better outcome) were showed enrichment in steroid hormone biosynthesis (false discovery rate, FDR=0.005%) and WNT signalling pathway (FDR=1.46%); genes upregulated in Class-2 were enriched in cell cycle (FDR=0.86%) and toll-like receptor pathways (FDR=2.37%). CONCLUSIONS These findings provide important biological insights into the rarer EOC histologies that may aid in the development of targeted treatment options for the rarer histologies.
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Affiliation(s)
- Chen Wang
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Boris J Winterhoff
- Department of Obstetrics, Gynecology and Women's Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Kimberly R Kalli
- Department of Medical Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | - Matthew S Block
- Department of Medical Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | - Sebastian M Armasu
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Melissa C Larson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Hsiao-Wang Chen
- Department of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Gary L Keeney
- Department of Anatomic Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Lynn C Hartmann
- Department of Medical Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | - Viji Shridhar
- Department of Experimental Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Gottfried E Konecny
- Department of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Ellen L Goode
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Brooke L Fridley
- Department of Biostatistics, Kansas University Medical Center, Kansas City, KS 66160, USA
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Vierkant RA, Degnim AC, Hartmann LC, Frank RD, Radisky DC, Visscher DW, Frost MH, Winham SJ, Ghosh K, Vachon CM. Abstract P6-09-05: No evidence of association between mammographic breast density and risk of breast cancer in women with atypical hyperplasia. Cancer Res 2016. [DOI: 10.1158/1538-7445.sabcs15-p6-09-05] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background
Women with atypical hyperplasia (AH) are at an approximately four-fold increased risk of subsequent breast cancer (BC). Mammographic breast density (MBD) is a well-established risk factor for BC, but its contribution to BC risk in women with AH remains an open question. We previously reported no association between MBD [measured by Wolfe's parenchymal pattern (PP)] and BC risk in a cohort of 147 women with AH. Here, we present results in an expanded cohort of 459 women diagnosed with AH between 1985 and 2001.
Methods
The Mayo Clinic Benign Breast Disease Cohort includes 13,485 women who had benign core and/or excisional biopsy 1967-2001. Biopsy tissues were reviewed by our study pathologist to determine presence of AH. MBD was available from clinical records starting in 1985, coded as PP (the standard for 1985-1996) or BI-RADS (1997-2001) density criteria. The original four-level PP (N1-fatty, P1-ductal prominence <25% of breast, P2-ductal prominence >25%, DY-dysplasia) and BI-RADS (fatty, scattered densities, heterogeneously dense, extremely dense) measures were re-categorized as low, moderate or high MBD by combining the middle two categories for each. BC events and clinical information were obtained by questionnaires, medical records and the Mayo Clinic Tumor Registry. Women were followed from benign biopsy to date of BC, death or last contact. Standardized incidence ratios (SIRs) were generated overall and within subgroups defined by density measure (PP vs. BI-RADS), number of atypical foci, and BMI by dividing the observed number of BCs by population-based expected values. Cox regression was used to estimate MBD hazard ratios after adjustment for demographic and clinical variables.
Results
Of the 551 women diagnosed with AH between 1985 and 2001, 459 (83%) had MBD data within 1 year prior to biopsy. Of these, 68 (15%) had low, 221 (48%) had moderate, and 170 (37%) had high MBD, respectively. Over a median follow-up of 11.7 years, 80 BCs were observed. SIRs for breast cancer did not differ significantly across density categories, overall or within any subgroups examined (see Table). Cox regression adjusting for age, BMI and density measure (PP vs. BI-RADS) also failed to identify an association with MBD (p=0.55).
Low MBDModerate MBDHigh MBD N / BCsSIR (95% CI)N / BCsSIR (95% CI)N / BCsSIR (95% CI)P-valueOverall68/123.5 (1.8,6.1)221/393.6 (2.5,4.9)170/293.4 (2.3,4.8)0.97MBD Measure PP59/113.6 (1.8,6.5)85/153.0 (1.7,5.0)130/243.3 (2.2,5.0)0.87BI-RADS9/12.7 (0.1,14.7)136/244.0 (2.6,6.0)40/53.4 (1.1,7.9)0.90No. Atypical Foci 147/62.3 (0.9,5.1)123/182.8 (1.7,4.4)96/163.5 (2.0,5.8)0.63214/47.5 (2.0,19.1)58/134.8 (2.6,8.3)41/62.5 (0.9,5.5)0.213+7/26.7 (0.8,24.0)40/84.4 (1.9,8.6)33/74.0 (1.0,8.2)0.83BMI <2525/21.5 (0.2,5.4)75/184.9 (2.9,7.7)101/173.4 (2.0,5.5)0.1625-2919/54.9 (1.6,11.3)68/92.8 (1.3,5.2)36/42.1 (0.6,5.4)0.4530+23/54.8 (1.6,11.2)76/123.0 (1.6,5.3)32/74.0 (1.6,8.2)0.67SIRs compare observed numer of BCs to expected using Iowa SEER data. Analyses account for the effects of age and calendar period. P-value is test of heterogeneity in SIRs across columns.
Conclusions
We found no evidence of an association between MBD and subsequent BC in women with AH.
Citation Format: Vierkant RA, Degnim AC, Hartmann LC, Frank RD, Radisky DC, Visscher DW, Frost MH, Winham SJ, Ghosh K, Vachon CM. No evidence of association between mammographic breast density and risk of breast cancer in women with atypical hyperplasia. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P6-09-05.
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Radisky DC, Visscher DW, Frank RD, Vierkant RA, Winham S, Stallings-Mann M, Hoskin TL, Nassar A, Vachon CM, Denison LA, Hartmann LC, Frost MH, Degnim AC. Natural history of age-related lobular involution and impact on breast cancer risk. Breast Cancer Res Treat 2016; 155:423-30. [PMID: 26846985 PMCID: PMC4764623 DOI: 10.1007/s10549-016-3691-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Accepted: 01/22/2016] [Indexed: 11/26/2022]
Abstract
Age-related lobular involution (LI) is a physiological process in which the terminal duct lobular units of the breast regress as a woman ages. Analyses of breast biopsies from women with benign breast disease (BBD) have found that extent of LI is negatively associated with subsequent breast cancer development. Here we assess the natural course of LI within individual women, and the impact of progressive LI on breast cancer risk. The Mayo Clinic BBD cohort consists of 13,455 women with BBD from 1967 to 2001. The BBD cohort includes 1115 women who had multiple benign biopsies, 106 of whom had developed breast cancer. Within this multiple biopsy cohort, the progression of the LI process was examined by age at initial biopsy and time between biopsies. The relationship between LI progression and breast cancer risk was assessed using standardized incidence ratios and by Cox proportional hazards analysis. Women who had multiple biopsies were younger age and had a slightly higher family history of breast cancer as compared with the overall BBD cohort. Extent of LI at subsequent biopsy was greater with increasing time between biopsies and for women age 55 + at initial biopsy. Among women with multiple biopsies, there was a significant association of higher breast cancer risk among those with involution stasis (lack of progression, HR 1.63) as compared with those with involution progression, p = 0.036. The multiple biopsy BBD cohort allows for a longitudinal study of the natural progression of LI. The majority of women in the multiple biopsy cohort showed progression of LI status between benign biopsies, and extent of progression was highest for women who were in the perimenopausal age range at initial biopsy. Progression of LI status between initial and subsequent biopsy was associated with decreased breast cancer risk.
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Affiliation(s)
- Derek C Radisky
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL, 32224, USA.
| | | | - Ryan D Frank
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA
| | - Robert A Vierkant
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Stacey Winham
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | | | - Tanya L Hoskin
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Aziza Nassar
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Jacksonville, FL, USA
| | | | - Lori A Denison
- Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | - Lynn C Hartmann
- Division of Medical Oncology, Mayo Clinic, Rochester, MN, USA
| | - Marlene H Frost
- Division of Oncology Research, Mayo Clinic, Rochester, MN, USA
| | - Amy C Degnim
- Department of Surgery, Mayo Clinic, Rochester, MN, USA
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Harrell MI, Maurer MJ, Heinzen EP, Lee MK, Kalli KR, Agnew KJ, Oberg AL, Walsh T, Norquist BM, Hartmann LC, Kaufmann SH, Swisher EM. Abstract A07: Homologous recombination mutations and overall survival in high-grade serous, endometrioid, and clear cell ovarian carcinomas. Clin Cancer Res 2016. [DOI: 10.1158/1557-3265.ovca15-a07] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Defects in homologous recombination (HR) DNA repair are common in high grade serous ovarian, peritoneal and fallopian tube carcinoma (HGSOC). Other than mutations in BRCA1 and BRCA2 (BRCA1/2), the molecular causes of HR deficiency have not been well delineated. The frequency of HR deficiency in non-serous ovarian carcinoma is not known. We previously identified that germline and somatic HR mutations in 13 genes in OC was associated with improved survival. We sought to replicate these data in an independent tumor set, while sequencing a larger number of DNA repair genes.
Methods: We used BROCA-HR to sequence 65 DNA repair genes in germline (blood) and tumor DNA from 363 women with ovarian (262), peritoneal (91), or fallopian tube (10) carcinoma from an institutional tissue bank. Cox proportional hazards models, adjusted for stage and residual tumor after cytoreduction, were used to assess associations between mutations in DNA repair genes in HR or related pathways and overall survival from diagnosis.
Results: In total, 96/363 (25%) patients had 59 germline and 45 somatic deleterious mutations in HR genes, including 34 germline and 22 somatic BRCA1/2 mutations. Damaging mutations found in other HR genes included 25 germline and 23 somatic in the following genes: 5 ATM, 6 ATR, 1 BAP1, 2 BARD1, 6 BLM, 2 BRIP1, 2 BRE, 1 BRCC3, 2 CHEK2, 1 ERCC1, 1 FANCG, 1 FANCI, 2 FANCL, 8 FANCM, 1 NBN, 2 PALB2, 1 RAD51D, 1 RBBP8, 1 SLX4, 1 UIMC1 and 1 XRCC2. Of 322 HGSOC, HR mutations occurred in 86 patients (26.7%) including 54 (16.8%) germline and 32 somatic (9.9%). HR mutation rates were similar across the different non-serous histologies. Of 13 clear cell OC, 2 (15.3%) had germline mutations in non-BRCA1/2 HR genes and 3 (23.1%) had PTEN/PIK3CA mutations. Of 27 endometrioid OC, 3 (11.1%) had HR mutations (1 germline BRCA1, and 2 non-BRCA1/2 somatic HR mutations). PTEN/PIK3CA mutations were identified in 9 (2.8%) HGSOC, 3 (23.1%) clear cell and 2 (7.5%) endometrioid. HR mutations demonstrated a trend towards improved long-term overall survival (hazard ratio = 0.78, 96% CI 0.57-1.05) after accounting for stage and debulking status.
Conclusions: These data not only indicate that damaging HR mutations, both germline and somatic, are found in endometrioid and clear cell as well as HGSOC, but also confirm our previous results showing an association between HR mutations and improved overall survival in OC. We are now sequencing 163 additional non-serous OC to augment the current analysis and these data will be available at presentation.
Citation Format: Maria I. Harrell, Matthew J. Maurer, Ethan P. Heinzen, Ming K. Lee, Kimberly R. Kalli, Kathy J. Agnew, Ann L. Oberg, Tom Walsh, Barbara M. Norquist, Lynn C. Hartmann, Scott H. Kaufmann, Elizabeth M. Swisher. Homologous recombination mutations and overall survival in high-grade serous, endometrioid, and clear cell ovarian carcinomas. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Ovarian Cancer Research: Exploiting Vulnerabilities; Oct 17-20, 2015; Orlando, FL. Philadelphia (PA): AACR; Clin Cancer Res 2016;22(2 Suppl):Abstract nr A07.
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Affiliation(s)
| | | | | | | | | | | | | | - Tom Walsh
- 1University of Washington, Seattle, WA,
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Karyampudi L, Lamichhane P, Krempski J, Kalli KR, Behrens MD, Vargas DM, Hartmann LC, Janco JMT, Dong H, Hedin KE, Dietz AB, Goode EL, Knutson KL. PD-1 Blunts the Function of Ovarian Tumor-Infiltrating Dendritic Cells by Inactivating NF-κB. Cancer Res 2015; 76:239-50. [PMID: 26567141 DOI: 10.1158/0008-5472.can-15-0748] [Citation(s) in RCA: 75] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2015] [Accepted: 10/13/2015] [Indexed: 01/22/2023]
Abstract
The PD-1:PD-L1 immune signaling axis mediates suppression of T-cell-dependent tumor immunity. PD-1 expression was recently found to be upregulated on tumor-infiltrating murine (CD11c(+)CD11b(+)CD8(-)CD209a(+)) and human (CD1c(+)CD19(-)) myeloid dendritic cells (TIDC), an innate immune cell type also implicated in immune escape. However, there is little knowledge concerning how PD-1 regulates innate immune cells. In this study, we examined the role of PD-1 in TIDCs derived from mice bearing ovarian tumors. Similar to lymphocytes, TIDC expression of PD-1 was associated with expression of the adapter protein SHP-2, which signals to NF-κB; however, in contrast to its role in lymphocytes, we found that expression of PD-1 in TIDC tonically paralyzed NF-κB activation. Further mechanistic investigations showed that PD-1 blocked NF-κB-dependent cytokine release in a SHP-2-dependent manner. Conversely, inhibition of NF-κB-mediated antigen presentation by PD-1 occurred independently of SHP-2. Collectively, our findings revealed that PD-1 acts in a distinct manner in innate immune cells compared with adaptive immune cells, prompting further investigations of the signaling pathways controlled by this central mediator of immune escape in cancer.
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Affiliation(s)
| | - Purushottam Lamichhane
- Vaccine and Gene Therapy Institute, Port St. Lucie, Florida. Department of Immunology, Mayo Clinic, Rochester, Minnesota
| | - James Krempski
- Department of Immunology, Mayo Clinic, Rochester, Minnesota
| | | | | | - Doris M Vargas
- Department of Immunology, Mayo Clinic, Rochester, Minnesota
| | | | - Jo Marie T Janco
- Department of Gynecologic Surgery Mayo Clinic, Mayo Clinic, Rochester, Minnesota
| | - Haidong Dong
- Department of Immunology, Mayo Clinic, Rochester, Minnesota
| | - Karen E Hedin
- Department of Immunology, Mayo Clinic, Rochester, Minnesota
| | - Allan B Dietz
- Human Cell Therapy Lab, Mayo Clinic, Rochester, Minnesota
| | - Ellen L Goode
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Keith L Knutson
- Vaccine and Gene Therapy Institute, Port St. Lucie, Florida. Department of Immunology, Mayo Clinic, Rochester, Minnesota.
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Meares AL, Frank RD, Degnim AC, Vierkant RA, Frost MH, Hartmann LC, Winham SJ, Visscher DW. Mucocele-like lesions of the breast: a clinical outcome and histologic analysis of 102 cases. Hum Pathol 2015; 49:33-8. [PMID: 26826407 DOI: 10.1016/j.humpath.2015.10.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2015] [Revised: 10/05/2015] [Accepted: 10/08/2015] [Indexed: 11/26/2022]
Abstract
Mucocele-like lesions (MLLs) of the breast are characterized by cystic architecture with stromal mucin and frequent atypia, but it is unknown whether they convey long-term breast cancer risk. We evaluated 102 MLLs that were derived from a single-institution benign breast disease cohort of 13412 women who underwent biopsy from 1967 to 2001. MLLs were histologically characterized by type of lining epithelium, architecture of the lesion, associated atypical hyperplasia (AH), and incidence of breast cancer (14.8-year median follow-up). A relatively large proportion of MLLs (42%) were diagnosed in women older than 55 years. AH was significantly more frequent in MLL patient compared to the cohort overall (27% versus 5%; P < .001). Breast cancer has developed in 13 patients with MLL. This frequency is only slightly higher than population expected rates overall (standardized incidence ratio, 2.28; 95% confidence interval, 1.21-3.91) and not significantly different from women in the cohort with (nonatypical) proliferative breast lesions. Younger women (<45) with MLL had a nonsignificant increase in risk of cancer compared to the general population (standardized incidence ratio, 5.16; 95% confidence interval, 1.41-13.23). We conclude that MLL is an uncommon breast lesion that is often associated with coexisting AH. However, in women older than 45 years, MLLs do not convey additional risk of breast cancer beyond that associated with the presence of proliferative disease.
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Affiliation(s)
- Annie L Meares
- Division of Anatomic Pathology, Mayo Clinic, Rochester, MN 55905
| | - Ryan D Frank
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905
| | - Amy C Degnim
- Department of Surgery, Mayo Clinic, Rochester, MN 55905
| | - Robert A Vierkant
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905
| | - Marlene H Frost
- Department of Medical Oncology, Mayo Clinic, Rochester, MN 55905
| | - Lynn C Hartmann
- Department of Medical Oncology, Mayo Clinic, Rochester, MN 55905
| | - Stacey J Winham
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN 55905
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Visscher DW, Frost MH, Hartmann LC, Frank RD, Vierkant RA, McCullough AE, Winham SJ, Vachon CM, Ghosh K, Brandt KR, Farrell AM, Tarabishy Y, Hieken TJ, Haddad TC, Kraft RA, Radisky DC, Degnim AC. Clinicopathologic features of breast cancers that develop in women with previous benign breast disease. Cancer 2015; 122:378-85. [PMID: 26512815 DOI: 10.1002/cncr.29766] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Revised: 09/08/2015] [Accepted: 09/17/2015] [Indexed: 01/24/2023]
Abstract
BACKGROUND Women with benign breast disease (BBD) have an increased risk of developing breast cancer (BC). Nearly 30% of all BCs develop in women with prior BBD. Information regarding features of the expected number of BCs after BBD would enhance individualized surveillance and prevention strategies for these women. In the current study, the authors sought to characterize BCs developing in a large cohort of women with BBD. METHODS The current study cohort included 13,485 women who underwent breast biopsy for mammographic or palpable concerns between 1967 and 2001. Biopsy slides were reviewed and classified as nonproliferative disease, proliferative disease without atypia, or atypical hyperplasia. BCs were identified by follow-up questionnaires, medical records, and Tumor Registry data. BC tissues were obtained and reviewed. RESULTS With median follow-up of 15.8 years, 1273 women developed BC. The majority of BCs were invasive (81%), of which 61% were ductal, 13% were mixed ductal/lobular, and 14% were lobular. Approximately two-thirds of the BC cases were intermediate or high grade, and 29% were lymph node positive. Cancer characteristics were similar across the 3 histologic categories of BBD, with a similar frequency of ductal carcinoma in situ, invasive disease, tumor size, time to invasive BC, histologic type of BC, lymph node positivity, and human epidermal growth factor receptor 2 positivity. Women with atypical hyperplasia were found to have a higher frequency of estrogen receptor-positive BC (91%) compared with women with proliferative disease without atypia (80%) or nonproliferative disease (85%) (P = .02). CONCLUSIONS A substantial percentage of all BCs develop in women with prior BBD. The majority of BCs after BBD are invasive tumors of ductal type, with a substantial number demonstrating lymph node positivity. Of all the BCs in the current study, 84% were estrogen receptor positive. Prevention therapy should be strongly encouraged in higher-risk women with BBD.
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Affiliation(s)
- Daniel W Visscher
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Marlene H Frost
- Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota
| | - Lynn C Hartmann
- Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota
| | - Ryan D Frank
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Robert A Vierkant
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Ann E McCullough
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Stacey J Winham
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | | | - Karthik Ghosh
- Department of General Internal Medicine, Mayo Clinic, Rochester, Minnesota
| | | | | | - Yaman Tarabishy
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri
| | - Tina J Hieken
- Department of Surgery, Mayo Clinic, Rochester, Minnesota
| | - Tufia C Haddad
- Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota
| | - Ruth A Kraft
- Research Services, Mayo Clinic, Rochester, Minnesota
| | - Derek C Radisky
- Division of Cancer Biology, Mayo Clinic Florida, Jacksonville, Florida
| | - Amy C Degnim
- Department of Surgery, Mayo Clinic, Rochester, Minnesota
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Hieken TJ, Carter JM, Hawse JR, Hoskin TL, Frost M, Hartmann LC, Radisky DC, Visscher DW, Pankratz VS, Degnim AC. Abstract A03: ERβ expression and breast cancer risk prediction for women with atypias. Cancer Prev Res (Phila) 2015. [DOI: 10.1158/1940-6215.prev-14-a03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: Estrogen receptor beta (ERβ), which is highly expressed in benign breast epithelium, is postulated to function as a tumor suppressor of breast cancer. Atypias of the breast increase the lifetime risk of breast cancer four-fold. However, little is known about ERβ expression in association with atypias or whether ERβ plays a role in mitigating breast cancer risk in high-risk individuals. We therefore undertook this study to examine the relationship of ERβ expression in atypias and adjacent normal lobules with the risk of subsequent breast cancer.
Methods: We studied women in a well-characterized benign breast disease cohort with atypical ductal hyperplasia (ADH) or atypical lobular hyperplasia (ALH) diagnosed from 1967 to 1991. Nuclear and cytoplasmic ERβ expression was assessed via immunohistochemistry in both the atypical hyperplasia epithelium (atypia) and background normal lobules for percent (scores 0-4 for <1%, 1-25%, 26-50%, 51-75%, >75%, respectively) and intensity (scores 0-3 for negative, weak, intermediate, strong, respectively) using a highly specific ERβ monoclonal antibody (PPG5/10). For nuclear staining, an ERβ sum score (percent + intensity, range 0-7) was created and grouped as low (0-2), moderate (3-5) or high (6-7). Competing risks regression was used to assess the association of ERβ expression with future breast cancer risk while also accounting for the competing risk of death from other causes.
Results: 171 women, median age 56, were studied (79 ADH and 92 ALH). Median follow-up was 15 years overall, and 36 women developed breast cancer at a median of 13 years after their atypia biopsy. ERβ expression was lower in the atypia versus normal lobules whether evaluated by nuclear percent stained, nuclear intensity or cytoplasmic intensity (all p < 0.001). For nuclear staining specifically, ERβ expression in the atypia was low in 44 (26%), moderate in 117 (68%) and high in only 10 (6%) based on the sum score. In contrast, ERβ was higher in the normal lobules with a majority showing high expression (n = 96, 56%), moderate expression in 74 (43%) and low expression in only 1 (0.6%). Lower ERβ nuclear expression in the atypia was associated with increased breast cancer risk, whether evaluated by percent staining, intensity or sum score; the same was true for ERβ nuclear expression in the background normal lobules. Low ERβ expression in the atypia (sum score 0-2) was associated with a 2-fold increased risk of subsequent breast cancer compared to atypia with moderate-high expression (sum score 3-7), HR 2.0, 95% CI: 1.02-3.8, p = 0.04. Lower ERβ expression in the normal lobules was also associated with an increased risk of future breast cancer: HR = 2.5 (95% CI: 1.3-5.1, p = 0.009) for low-moderate versus high expression.
Conclusions: Increased ERβ expression in normal and atypical lobules was associated with a significantly decreased risk of breast cancer in our high-risk patient cohort. These data suggest that in women with atypical hyperplasia, ERβ expression is protective against the future development of breast cancer. ERβ may serve as a useful biomarker to further stratify breast cancer risk in women with benign breast disease.
Citation Format: Tina J. Hieken, Jodi M. Carter, John R. Hawse, IV, Tanya L. Hoskin, Marlene Frost, Lynn C. Hartmann, Derek C. Radisky, Daniel W. Visscher, Vernon S. Pankratz, Amy C. Degnim. ERβ expression and breast cancer risk prediction for women with atypias. [abstract]. In: Proceedings of the Thirteenth Annual AACR International Conference on Frontiers in Cancer Prevention Research; 2014 Sep 27-Oct 1; New Orleans, LA. Philadelphia (PA): AACR; Can Prev Res 2015;8(10 Suppl): Abstract nr A03.
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Degnim AC, Pankratz VS, Winham SJ, Dupont WD, Vierkant RA, Frank RD, Frost MH, Vachon C, Ghosh K, Hieken TJ, Carter JM, Haddad TC, Denison L, Visscher DW, Hartmann LC, Radisky DC. A new model for predicting breast cancer risk in women with atypical hyperplasia. J Clin Oncol 2015. [DOI: 10.1200/jco.2015.33.28_suppl.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
2 Background: Women with atypical hyperplasia (AH) on breast biopsy have an aggregate increased risk of breast cancer (BC), but accurate personalized risk prediction is desirable to facilitate individual clinical management decisions. Currently used models provide poor BC risk prediction for women with AH. Our goal was to develop and validate an improved risk prediction model for women with AH. Methods: From a cohort of 13,538 women with benign breast disease from 1967-2001, pathology review confirmed 699 with AH. Clinical risk factors and histologic features of the tissue biopsy were recorded, and BC events were ascertained from study questionnaires, tumor registry, and review of medical records. Using a lasso approach, 23 variables were assessed for model inclusion. Lasso-identified features were then fit in a Cox regression model to estimate BC risk. Model discrimination was assessed with C-statistics in the model-building set and in a separate external validation set. Calibration was assessed by comparing observed to predicted breast cancer counts. Results: The model-building set comprised 699 women with 142 BC events (median follow-up 8.1 years), and the external validation set comprised 461 women with 114 BC events (median follow-up 11.4 years). The final model included three covariates: age at biopsy, age squared, and number of foci of AH. Model performance was good, with a C-statistic of 0.622 (SE = 0.027) in the model-building set and 0.594 (SE = 0.029) in the external validation set. The model is well-calibrated, with observed to expected numbers of BCs nearly equal across all post-biopsy follow-up years. Conclusions: We propose a new model for predicting BC risk in women with AH based on age at biopsy and number of foci of atypia. This model provides absolute risk estimates for women with AH, has good discriminatory ability, is well-calibrated, and validates in an external cohort.
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Pankratz VS, Degnim AC, Vierkant RA, Frank RD, Hartmann LC. Reply to M.H. Gail et al. J Clin Oncol 2015. [PMID: 26215951 DOI: 10.1200/jco.2015.62.5756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- V Shane Pankratz
- University of New Mexico Health Sciences Center, Albuquerque, NM
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Nassar A, Visscher DW, Degnim AC, Frank RD, Vierkant RA, Frost M, Radisky DC, Vachon CM, Kraft RA, Hartmann LC, Ghosh K. Complex fibroadenoma and breast cancer risk: a Mayo Clinic Benign Breast Disease Cohort Study. Breast Cancer Res Treat 2015; 153:397-405. [PMID: 26264469 PMCID: PMC4561026 DOI: 10.1007/s10549-015-3535-8] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Accepted: 08/07/2015] [Indexed: 11/26/2022]
Abstract
The purpose of this study is to examine the breast cancer risk overall among women with simple fibroadenoma or complex fibroadenoma and to examine the association of complex fibroadenoma with breast cancer through stratification of other breast cancer risks. The study included women aged 18-85 years from the Mayo Clinic Benign Breast Disease Cohort who underwent excisional breast biopsy from 1967 through 1991. Within this cohort, women who had fibroadenoma were compared to women who did not have fibroadenoma. Breast cancer risk (observed versus expected) across fibroadenoma levels was assessed through standardized incidence ratios (SIRs) by using age- and calendar-stratified incidence rates from the Iowa Surveillance, Epidemiology, and End Results registry. Analyses were performed overall, within subgroups of involution status, with other demographic characteristics (age, year of biopsy, indication for biopsy, and family history), and with histologic characteristics, including overall impression [nonproliferative disease, proliferative disease without atypia (PDWA), or atypical hyperplasia]. Fibroadenoma was identified in 2136 women [noncomplex, 1835 (85.9%); complex, 301 (14.1%)]. SIR for noncomplex fibroadenoma was 1.49 (95% CI 1.26-1.74); for complex fibroadenoma, it was 2.27 (95% CI 1.63-3.10) (test for heterogeneity in SIR, P = .02). However, women with complex fibroadenoma were more likely to have other, concomitant high-risk histologic characteristics (e.g., incomplete involution and PDWA). In analyses stratified by involution status and PDWA, complex fibroadenoma was not an independent risk marker for breast cancer. Complex fibroadenoma does not confer increased breast cancer risk beyond other established histologic characteristics.
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Affiliation(s)
- Aziza Nassar
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 4500 San Pablo Rd, 32224, Jacksonville, FL, USA,
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Chien J, Sicotte H, Fan JB, Humphray S, Cunningham JM, Kalli KR, Oberg AL, Hart SN, Li Y, Davila JI, Baheti S, Wang C, Dietmann S, Atkinson EJ, Asmann YW, Bell DA, Ota T, Tarabishy Y, Kuang R, Bibikova M, Cheetham RK, Grocock RJ, Swisher EM, Peden J, Bentley D, Kocher JPA, Kaufmann SH, Hartmann LC, Shridhar V, Goode EL. TP53 mutations, tetraploidy and homologous recombination repair defects in early stage high-grade serous ovarian cancer. Nucleic Acids Res 2015; 43:6945-58. [PMID: 25916844 PMCID: PMC4538798 DOI: 10.1093/nar/gkv111] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Revised: 01/23/2015] [Accepted: 02/02/2015] [Indexed: 12/30/2022] Open
Abstract
To determine early somatic changes in high-grade serous ovarian cancer (HGSOC), we performed whole genome sequencing on a rare collection of 16 low stage HGSOCs. The majority showed extensive structural alterations (one had an ultramutated profile), exhibited high levels of p53 immunoreactivity, and harboured a TP53 mutation, deletion or inactivation. BRCA1 and BRCA2 mutations were observed in two tumors, with nine showing evidence of a homologous recombination (HR) defect. Combined Analysis with The Cancer Genome Atlas (TCGA) indicated that low and late stage HGSOCs have similar mutation and copy number profiles. We also found evidence that deleterious TP53 mutations are the earliest events, followed by deletions or loss of heterozygosity (LOH) of chromosomes carrying TP53, BRCA1 or BRCA2. Inactivation of HR appears to be an early event, as 62.5% of tumours showed a LOH pattern suggestive of HR defects. Three tumours with the highest ploidy had little genome-wide LOH, yet one of these had a homozygous somatic frame-shift BRCA2 mutation, suggesting that some carcinomas begin as tetraploid then descend into diploidy accompanied by genome-wide LOH. Lastly, we found evidence that structural variants (SV) cluster in HGSOC, but are absent in one ultramutated tumor, providing insights into the pathogenesis of low stage HGSOC.
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Affiliation(s)
- Jeremy Chien
- Department of Cancer Biology, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Hugues Sicotte
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Sean Humphray
- Illumina Cambridge Ltd, Little Chesterford, Essex CB10 1, UK
| | - Julie M Cunningham
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Ann L Oberg
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Steven N Hart
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Ying Li
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Jaime I Davila
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Saurabh Baheti
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Chen Wang
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
| | - Sabine Dietmann
- Wellcome Trust, Medical Research Council Stem Cell Institute, University of Cambridge, Cambridge CB2 1TN, UK
| | | | - Yan W Asmann
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Debra A Bell
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Takayo Ota
- Department of Internal Medicine, Rinku General Medical Center, Izumi-sano, 598-8577, Japan
| | - Yaman Tarabishy
- Department of Pathology and Immunology, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Rui Kuang
- Department of Biomedical Informatics and Computational Biology, University of Minnesota, Minneapolis, MN 55414, USA
| | | | | | | | - Elizabeth M Swisher
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA 98109, USA
| | - John Peden
- Illumina Cambridge Ltd, Little Chesterford, Essex CB10 1, UK
| | - David Bentley
- Illumina Cambridge Ltd, Little Chesterford, Essex CB10 1, UK
| | | | | | - Lynn C Hartmann
- Department of Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | - Viji Shridhar
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA
| | - Ellen L Goode
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA
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Karyampudi L, Krempski J, Lamichhane P, Kalli KR, Behrens MD, Vargas DM, Hartmann LC, Hedin KE, Goode EL, Knutson KL. Abstract POSTER-THER-1418: PD-1 mediated paralysis of ovarian cancer infiltrating dendritic cells. Clin Cancer Res 2015. [DOI: 10.1158/1557-3265.ovcasymp14-poster-ther-1418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Purpose: It is well known that the immune system impacts the clinical course of ovarian cancer suggesting that immune-based approaches may effective in treating the disease. This has led to several clinical trials of novel treatments such as antibody, vaccine, and adoptive T cell therapy. PD-1:PD-L1 axis is a major immune regulatory pathway that blunts immune effectors in the tumor microenvironment. It is well known that high surface expression of PD-1 on tumor infiltrating T cells is a sign of their exhaustion. However, the complete mechanism behind the PD-1 regulation of T cell exhaustion is yet to be explored. Recently we identified that PD-1 is also expressed on ovarian tumor-infiltrating myeloid dendritic cells (DCs) that exhibit an immunosuppressive phenotype. Our goal in this study was to understand the mechanism by which PD-1 mediates the paralysis of ovarian cancer infiltrating DCs.
Experimental procedures: PD-1+ DCs obtained from ID8 mouse model of ovarian cancer were used in this study. Data from this preclinical model was confirmed by using myeloid DCs obtained from ovarian cancer patient’s samples. Using standard flow cytometry, immunoassays (ELISA, multiplexed cytokine assay), PCR array, western blot and confocal microscopy, PD-1 mediated paralysis of ovarian cancer DCs was determined.
Results: Our data shows that blockade of surface PD-1 on ovarian cancer infiltrating DCs results in their activation by, enhancing their surface co-stimulatory molecules expression, increasing their motility, enhancing their antigen presentation capacity, and increasing their production of immunostimulatory cytokines. Also, our results suggest that PD-1 expressed on tumor DCs mediates the suppression of NFkB which occurs through SHP-2 and IKK dependent mechanisms.
Conclusion: Our study reveals that blockade of PD-1 on ovarian cancer infiltrating DCs results in the reversal of their paralysis to such an extent that it overrides their B7-H1 mediated suppression of T cells and this occurs through the reversal of PD-1 mediated tonic suppression of NFkB.
Citation Format: Lavakumar Karyampudi James Krempski, Purushottam Lamichhane, Kimberly R. Kalli, Marshall D. Behrens, Doris M. Vargas, Lynn C Hartmann, Karen E Hedin, Ellen L. Goode, Keith L. Knutson. PD-1 mediated paralysis of ovarian cancer infiltrating dendritic cells [abstract]. In: Proceedings of the 10th Biennial Ovarian Cancer Research Symposium; Sep 8-9, 2014; Seattle, WA. Philadelphia (PA): AACR; Clin Cancer Res 2015;21(16 Suppl):Abstract nr POSTER-THER-1418.
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Affiliation(s)
- Lavakumar Karyampudi
- 1Cancer Vaccines and Immune Therapies Program, Vaccine & Gene Therapy Institute of Florida, Port St. Lucie, FL 34987, Departments of
| | | | - Purushottam Lamichhane
- 1Cancer Vaccines and Immune Therapies Program, Vaccine & Gene Therapy Institute of Florida, Port St. Lucie, FL 34987, Departments of
- 2Immunology,
| | | | | | | | | | | | - Ellen L. Goode
- 4Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN 55905
| | - Keith L. Knutson
- 1Cancer Vaccines and Immune Therapies Program, Vaccine & Gene Therapy Institute of Florida, Port St. Lucie, FL 34987, Departments of
- 2Immunology,
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Hieken TJ, Carter JM, Hawse JR, Hoskin TL, Bois M, Frost M, Hartmann LC, Radisky DC, Visscher DW, Degnim AC. ERβ expression and breast cancer risk prediction for women with atypias. Cancer Prev Res (Phila) 2015; 8:1084-92. [PMID: 26276747 DOI: 10.1158/1940-6207.capr-15-0198] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2015] [Accepted: 08/03/2015] [Indexed: 11/16/2022]
Abstract
Estrogen receptor (ER) β is highly expressed in normal breast epithelium and a putative tumor suppressor. Atypical hyperplasia substantially increases breast cancer risk, but identification of biomarkers to further improve risk stratification is needed. We evaluated ERβ expression in breast tissues from women with atypical hyperplasia and association with subsequent breast cancer risk. ERβ expression was examined by immunohistochemistry in a well-characterized 171-women cohort with atypical hyperplasia diagnosed 1967-1991. Nuclear ERβ percent and intensity was scored in the atypia and adjacent normal lobules. An ERβ sum score (percent + intensity) was calculated and grouped as low, moderate, or high. Competing risks regression was used to assess associations of ERβ expression with breast cancer risk. After 15-year median follow-up, 36 women developed breast cancer. ERβ expression was lower in atypia lobules in than normal lobules, by percent staining and intensity (both P < 0.001). Higher ERβ expression in the atypia or normal lobules, evaluated by percent staining, intensity or sum score, decreased the risk of subsequent breast cancer by 2-fold (P = 0.04) and 2.5-fold (P = 0.006). High normal lobule ERβ expression conferred the strongest protective effect in premenopausal women: the 20-year cumulative incidence of breast cancer was 0% for women younger than 45 years with high versus 31% for low-moderate ERβ expression (P = 0.0008). High ERβ expression was associated with a significantly decreased risk of breast cancer in women with atypical hyperplasia. These data suggest that ERβ may be a useful biomarker for risk stratification and a novel therapeutic target for breast cancer risk reduction.
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Affiliation(s)
- Tina J Hieken
- Department of Surgery, Mayo Clinic, Rochester, Minnesota.
| | - Jodi M Carter
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - John R Hawse
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, Minnesota
| | - Tanya L Hoskin
- Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Melanie Bois
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Marlene Frost
- Department of Oncology, Mayo Clinic, Rochester, Minnesota
| | | | - Derek C Radisky
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Jacksonville, Florida
| | - Daniel W Visscher
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Amy C Degnim
- Department of Surgery, Mayo Clinic, Rochester, Minnesota
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Figueroa JD, Pfeiffer R, Palakal M, Degnim AC, Radisky D, Hartmann LC, Frost M, Stallings Mann ML, Brinton LA, Papathomas D, Visscher D, Sherman ME. Abstract 4682: Standardized measures of lobular involution and subsequent breast cancer risk among women with benign breast disease. Cancer Res 2015. [DOI: 10.1158/1538-7445.am2015-4682] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Purpose: Breast biopsies with benign findings (benign breast disease [BBD]) outnumber biopsies revealing in-situ or invasive cancer 4:1, providing an opportunity to identify histopathological features that predict breast cancer risk. Greater degrees of involution of terminal duct lobular units (TDLUs), the structures within the breast that produce milk and the primary source of breast cancer precursors, have been inversely associated with breast cancer risk among women with BBD. We recently developed measures to quantitate levels of TDLU involution, which demonstrate high inter/intra pathologist reproducibility. Here we assessed whether TDLU counts/100mm2 and median TDLU span (microns), two measures inversely related to degree of TDLU involution, are associated with subsequent breast cancer risk among women with BBD.
Methods: From the Mayo BBD cohort (n = 9,376), we evaluated benign biopsies from 99 women who later developed breast cancer (cases) and 145 age-matched controls who did not develop breast cancer. Digitized images of biopsy sections were reviewed to enumerate TDLUs/mm2 and measure median TDLU span (microns) for up to ten normal TDLUs. Breast cancer risk factors were available from questionnaires or medical records. To assess associations with breast cancer risk, subjects were categorized into quartile levels of TDLU counts and median TDLU spans, based on data from controls. Odds ratios (ORs) and 95% confidence intervals (CI) were estimated using multivariable conditional logistic regression models, adjusted for histologic type of BBD, family history of breast cancer and menopausal hormone use.
Results: Compared to controls, women who developed breast cancer had higher median number of TDLU counts/100mm2 (28 vs 20, p = 0.03) and larger TDLU spans (300 vs 267 microns, p = 0.14). In multivariable models higher TDLU counts (quartile4 vs. quartile1, OR = 2.44, 95%CI = 0.96-6.19, ptrend = 0.02) and larger TDLU span measures (quartile4 vs. quartile1, OR = 2.83, 95%CI = 1.13-7.06, ptrend = 0.03) were associated with subsequent diagnosis of breast cancer. Combinatorial metrics of TDLU counts with median TDLU span measures identified women at higher risk; specifically, women above the median for both TDLU span and TDLU counts had an OR = 3.75 (95%CI = 1.40-10.00, ptrend = 0.008), compared with women below the median for TDLU span and TDLU counts.
Conclusion: These data show that lack of TDLU involution, as measured by increased persistence of TDLU counts, larger median TDLU spans and cross-classification using these measures was associated with increased breast cancer risk among women with BBD, extending prior work in this cohort based on other TDLU involution metrics. Future studies to identify determinants of TDLU involution, its association with breast cancer risk and its potential as an intermediate endpoint in prevention studies warrant consideration.
Citation Format: Jonine D. Figueroa, Ruth Pfeiffer, Maya Palakal, Amy C. Degnim, Derek Radisky, Lynn C. Hartmann, Marlene Frost, Melody L. Stallings Mann, Louise A. Brinton, Daphne Papathomas, Daniel Visscher, Mark E. Sherman. Standardized measures of lobular involution and subsequent breast cancer risk among women with benign breast disease. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4682. doi:10.1158/1538-7445.AM2015-4682
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Mullooly M, Yang HP, Falk RT, Nyante S, Cora R, Pfeiffer RM, Radisky DC, Visscher DW, Hartmann LC, Degnim AC, Stanczyk FZ, Figueroa JF, Garcia-Closas M, Lissowska J, Troester MT, Brinton LA, Sherman ME, Gierach GL. Abstract 2767: Investigation of the relationship between crown-like structures and adipose tissue hormone levels among postmenopausal women with breast cancer. Cancer Res 2015. [DOI: 10.1158/1538-7445.am2015-2767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: Increased levels of circulating estrogens are associated with elevated risks of postmenopausal breast cancer. Previously, we showed that levels of sex steroid hormones in breast adipose tissue are positively correlated with circulating hormones. Further evaluation of hormone levels in breast tissues may help to explain the relationship between estrogens and breast cancer risk. Specifically, data suggest that focal breast lesions consisting of macrophages encircling dying adipocytes, referred to as “crown-like structures (CLS)”, are associated with increased aromatase activity, which could increase conversion of androgens to estrogens locally in the breast. Therefore, we assessed whether the presence of CLS affects the correlations between blood and breast adipose tissue hormone levels. Methods: Participants included 84 postmenopausal women with invasive breast cancer in the Polish Breast Cancer Study, a population based case-control study conducted from 2000 to 2003. We previously reported sex steroid hormone levels in cancer-free breast adipose tissue removed as part of breast excisions performed for cancer. Here, using immunohistochemical stains, we evaluated the number of CD68 positive macrophages and the presence of full CLS (i.e., complete adipocyte encirclement) in benign breast tissue sections prepared from surgical pathology specimens containing breast cancer. The relationship between the number of CD68 positive macrophages per unit area of fat and hormone levels was examined using Spearman rank correlations (rs). We assessed potential effect modification of the association between blood and tissue hormone levels by presence or absence of CLS by including an interaction term in linear regression models. Results: The number of CD68 positive macrophages per unit area of fat was not significantly correlated with levels of estrone, estradiol, androstenedione or testosterone measured in blood (rs = 0.001, -0.04, -0.07, and -0.09, respectively; p>0.05) or breast adipose tissue (rs = -0.15, 0.06, -0.06, and -0.08, respectively; p>0.05). Correlations between serum and adipose tissue hormones did not statistically significantly differ between women with CLS (n = 30) compared to those without CLS (n = 54). CLS were found more frequently in breast adipose tissue from overweight (i.e., women with a body mass index (BMI) between 25 and 29.9) (43%) and obese women (BMI >30) (30%) versus normal weight women, with (BMI between 18.5 and 24.9), (27%); (p = 0.04, χ2 test). The number of CD68 positive macrophages per unit area of fat was not significantly related to BMI (p = 0.31). Conclusion: Among postmenopausal women with invasive breast cancer, the presence of CLS was more common among overweight and obese women, but CLS did not influence the correlation between circulating and breast adipose tissue sex steroid hormone levels.
Citation Format: Maeve Mullooly, Hannah P. Yang, Roni T. Falk, Sarah Nyante, Renata Cora, Ruth M. Pfeiffer, Derek C. Radisky, Daniel W. Visscher, Lynn C. Hartmann, Amy C. Degnim, Frank Z. Stanczyk, Jonine F. Figueroa, Montserrat Garcia-Closas, Jolanta Lissowska, Melissa T. Troester, Louise A. Brinton, Mark E. Sherman, Gretchen L. Gierach. Investigation of the relationship between crown-like structures and adipose tissue hormone levels among postmenopausal women with breast cancer. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2767. doi:10.1158/1538-7445.AM2015-2767
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Affiliation(s)
- Maeve Mullooly
- 1Hormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute and Cancer Prevention Fellowship Program, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD
| | - Hannah P. Yang
- 2Hormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Roni T. Falk
- 2Hormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Sarah Nyante
- 2Hormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Renata Cora
- 3Independent contractor, CT(ASCP), MB(ASCP), Stamford, CT
| | - Ruth M. Pfeiffer
- 4Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | | | | | | | | | - Frank Z. Stanczyk
- 6Department of Obstetrics and Gynecology, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Jonine F. Figueroa
- 2Hormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | | | - Jolanta Lissowska
- 8Department of Cancer Epidemiology and Prevention, Cancer Center and M. Sklodowska-Curie Institute of Oncology, Warsaw, Poland
| | - Melissa T. Troester
- 9Department of Epidemiology and Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Louise A. Brinton
- 2Hormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Mark E. Sherman
- 10Breast and Gynecologic Cancer Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD
| | - Gretchen L. Gierach
- 2Hormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
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Mutter RW, Frost MH, Hoskin TL, Johnson JL, Hartmann LC, Boughey JC. Breast cancer after prophylactic mastectomy (bilateral or contralateral prophylactic mastectomy), a clinical entity: presentation, management, and outcomes. Breast Cancer Res Treat 2015. [PMID: 26210521 DOI: 10.1007/s10549-015-3515-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Contralateral prophylactic mastectomy (CPM) and bilateral prophylactic mastectomy (BPM) markedly decrease the possibility of new breast cancer (BC) ipsilateral to the prophylactic mastectomy (PM). Given its relative infrequency, little is known about the clinical characteristics, presentation, and management of BC after PM. Between 1960 and 1993, 1065 women underwent BPM and 1643 women with unilateral BC treated with therapeutic mastectomy underwent CPM at our institution. Medical records were reviewed, and study-specific questionnaires were sent to all women. BC after PM included locoregional invasive BC or ductal carcinoma in situ ipsilateral to the PM. BC developed ipsilateral to the PM in 25 patients (13 after BPM; 12 after therapeutic mastectomy and CPM). Median follow-up after PM was 22 years (range 3-34 years). Presentations included clinically isolated local disease in 17 patients (68%); disease limited to the axilla without evidence of local primary disease in 4 (16%); synchronous local and axillary disease in 1 (4%); and synchronous local disease and distant metastases in 3 (12%). The 17 patients presenting with isolated local disease were most commonly managed with completion or redo mastectomy (65%) or local excision (29 %), followed by consideration of adjuvant therapy. The 5-year disease-free survival estimate was 69% (95% CI 52-94%) for the 22 patients who had isolated locoregional BC after PM and were treated with curative intent. Although rare, BC after PM can occur. The most common presentation, disease localized to the mastectomy site, can be managed with resection and consideration of adjuvant therapy.
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Affiliation(s)
- Robert W Mutter
- Department of Radiation Oncology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA,
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Degnim AC, Nassar A, Stallings-Mann M, Keith Anderson S, Oberg AL, Vierkant RA, Frank RD, Wang C, Winham SJ, Frost MH, Hartmann LC, Visscher DW, Radisky DC. Gene signature model for breast cancer risk prediction for women with sclerosing adenosis. Breast Cancer Res Treat 2015. [PMID: 26202055 PMCID: PMC4519591 DOI: 10.1007/s10549-015-3513-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Benign breast disease (BBD) is diagnosed in 1–2 million women/year in the US, and while these patients are known to be at substantially increased risk for subsequent development of breast cancer, existing models for risk assessment perform poorly at the individual level. Here, we describe a DNA-microarray-based transcriptional model for breast cancer risk prediction for patients with sclerosing adenosis (SA), which represent ¼ of all BBD patients. A training set was developed from 86 patients diagnosed with SA, of which 27 subsequently developed cancer within 10 years (cases) and 59 remained cancer-free at 10 years (controls). An diagonal linear discriminate analysis-prediction model for prediction of cancer within 10 years (SA TTC10) was generated from transcriptional profiles of FFPE biopsy-derived RNA. This model was tested on a separate validation case–control set composed of 65 SA patients. The SA TTC10 gene signature model, composed of 35 gene features, achieved a clear and significant separation between case and control with receiver operating characteristic area under the curve of 0.913 in the training set and 0.836 in the validation set. Our results provide the first demonstration that benign breast tissue contains transcriptional alterations that indicate risk of breast cancer development, demonstrating that essential precursor biomarkers of malignancy are present many years prior to cancer development. Furthermore, the SA TTC10 gene signature model, which can be assessed on FFPE biopsies, constitutes a novel prognostic biomarker for patients with SA.
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Affiliation(s)
- Amy C Degnim
- Department of Surgery, Mayo Clinic, Rochester, MN, 55905, USA
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Wahner Hendrickson AE, Menefee ME, Hartmann LC, Long HJ, Northfelt DW, Reid JM, Boakye-Agyeman F, Flatten KS, Poirier GG, Lensing J, Erlichman C, Kaufmann SH, Haluska P. A phase I trial of veliparib, an inhibitor of poly(ADP-ribose) polymerase (PARP), and topotecan (TPT) in patients with solid tumors. J Clin Oncol 2015. [DOI: 10.1200/jco.2015.33.15_suppl.tps2618] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
| | | | | | | | | | - Joel M. Reid
- Department of Oncology, Mayo Clinic, Rochester, MN
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Said SM, Visscher DW, Nassar A, Frank RD, Vierkant RA, Frost MH, Ghosh K, Radisky DC, Hartmann LC, Degnim AC. Flat epithelial atypia and risk of breast cancer: A Mayo cohort study. Cancer 2015; 121:1548-55. [PMID: 25639678 PMCID: PMC4424157 DOI: 10.1002/cncr.29243] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2014] [Revised: 11/20/2014] [Accepted: 12/02/2014] [Indexed: 11/11/2022]
Abstract
BACKGROUND Based on its cytologic features, and its co-occurrence with atypical hyperplasia and breast cancer, flat epithelial atypia (FEA) has been proposed as a precursor lesion on the pathway to the development of breast cancer. It is often referred to as an "atypical" or high-risk lesion. However, to the authors' knowledge, the long-term risk of breast cancer in women with FEA is undefined. METHODS Specimens with FEA were identified among excisional breast biopsies in the Mayo Clinic Benign Breast Disease Cohort, which includes 11,591 women who had benign biopsy findings at the Mayo Clinic in Rochester, Minnesota between 1967 and 2001. Breast cancer risk among subsets of patients with FEA and nonproliferative, proliferative, and atypical hyperplasia (AH) was assessed using standardized incidence ratios (SIRs) compared with the Iowa Surveillance, Epidemiology, and End Results registry. RESULTS FEA was identified in 282 women (2.4%); 130 had associated AH (46%) and 152 (54%) were classified as having proliferative disease without atypia (PDWA). With median follow-up of 16.8 years, the SIR for breast cancer in patients with AH plus FEA was 4.74 (95% confidence interval [95% CI], 3.17-6.81) versus 4.23 (95% CI, 3.44-5.13) for those with AH without FEA (P = .59). The SIR for patients with PDWA plus FEA was 2.04 (95% CI, 1.23-3.19) versus 1.90 (95% CI, 1.72-2.09) for patients with PDWA without FEA (P = .76). CONCLUSIONS FEA is an uncommon finding in women with benign breast disease. FEA does not appear to convey an independent risk of breast cancer beyond that of the associated PDWA or AH.
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Affiliation(s)
- Samar M. Said
- Division of Anatomic Pathology, Mayo Clinic, Rochester, MN, United States
| | - Daniel W. Visscher
- Division of Anatomic Pathology, Mayo Clinic, Rochester, MN, United States
| | - Aziza Nassar
- Division of Anatomic Pathology, Mayo Clinic, Jacksonville, Florida, United States
| | - Ryan D. Frank
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United States
| | - Robert A. Vierkant
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United States
| | - Marlene H. Frost
- Department of Medical Oncology, Mayo Clinic, Rochester, MN, United States
| | - Karthik Ghosh
- Department of Internal Medicine, Mayo Clinic, Rochester, MN
| | | | - Lynn C. Hartmann
- Department of Medical Oncology, Mayo Clinic, Rochester, MN, United States
| | - Amy C. Degnim
- Department of Surgery, Mayo Clinic, Rochester, MN, United States
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Degnim AC, Radisky DC, Vierkant RA, Frank RD, Frost MH, Pankratz VS, Vachon CM, Hoskin TL, Cunningham JM, Wang C, Kocher JP, Allers TM, Johnson JL, Hieken TJ, Ghosh K, Hartmann LC, Visscher DW. Abstract P6-10-06: Histologic features of benign breast biopsy tissue and association with ER positive and ER negative breast cancer in the Mayo BBD cohort study. Cancer Res 2015. [DOI: 10.1158/1538-7445.sabcs14-p6-10-06] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: Current models to predict breast cancer risk do not differentiate risk for estrogen receptor (ER) positive and negative breast cancer (BC), despite growing evidence that these tumors are biologically very different. We hypothesized that women with ER+ BC cancers have different clinical risk factors and histologic findings on prior benign breast biopsies than those with ER- BC.
Methods: After IRB approval, we examined associations of age at benign biopsy and histologic features of the benign biopsy with ER status of incident BCs within the Mayo Benign Breast Disease Cohort. Benign biopsy slides were reviewed for extent of lobular involution and degree of epithelial proliferation by a single breast pathologist blinded to BC events. Invasive BCs occurring within 15 years after benign biopsy were classified as ER+ if ER staining was >1%. BC case-only associations with ER status were evaluated using multivariate logistic regression. Full-cohort hazard ratios (HR) and 95% confidence intervals (CI) for risk of ER-specific subtypes were estimated using Cox proportion hazards regression.
Results: Among 13,410 women undergoing a benign breast biopsy from 1967-2001, 656 invasive BCs (459 ER+, 106 ER, 106 unknown) occurred within 15 years. Women who developed ER+ and ER- BCs were similar in age at the time of their prior benign breast biopsy (p=0.34). Although benign biopsies in women who later developed ER+ BC were more likely to show complete involution (23% vs 15% for ER- BC), this was not statistically significant (p=0.06). However, the degree of epithelial proliferation was significantly associated with ER status of later BCs (p=0.001), with ER+ BCs more likely than ER- BCs to have had a prior biopsy with atypical hyperplasia (16% vs 8%), and ER+ BCs less likely than ER- BCs to have had a prior biopsy with proliferative disease without atypia (33% vs 52%); this association remained after multivariate adjustment (p=0.003). We further pursued the association of epithelial proliferation with differential risk of ER+ and ER- BC in our overall cohort of 13,410 women (Table 1). Compared to women with non-proliferative disease, women with proliferative disease +/- atypia had ∼2-fold hazard ratios for ER- BC, whereas hazard ratios for ER+ BC were higher in women with atypical hyperplasia (∼4-fold) compared to proliferative disease.
Hazard Ratio of ER+ and ER- BC within 15 years of BBD based upon degree of epithelial proliferation at benign biopsyCancer TypeGroupNN EventsHazard Ratio (95% CI)p-valueInvasive ER- ≤15 yearsNP8478421.00 (ref)<0.0001 PD4229542.63 (1.76, 3.93) AH70382.60 (1.22, 5.54) Invasive ER+ ≤15 yearsNP84782321.00 (ref)<0.0001 PD42291511.33 (1.09, 1.64) AH703744.41 (3.39, 5.73) NP=nonproliferative disease, PD=proliferative disease without atypia; AH=atypical hyperplasia
Conclusion: ER+ and ER- breast cancers appear to have different features on prior benign breast biopsy, with atypical hyperplasia showing increased risk for both types of breast cancer, but a greater risk for ER+ tumors.
Citation Format: Amy C Degnim, Derek C Radisky, Robert A Vierkant, Ryan D Frank, Marlene H Frost, Vernon S Pankratz, Celine M Vachon, Tanya L Hoskin, Julie M Cunningham, Chen Wang, Jean-Pierre Kocher, Teresa M Allers, Joanne L Johnson, Tina J Hieken, Karthik Ghosh, Lynn C Hartmann, Daniel W Visscher. Histologic features of benign breast biopsy tissue and association with ER positive and ER negative breast cancer in the Mayo BBD cohort study [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P6-10-06.
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Mutter RW, Hoskin TL, Frost MH, Johnson JL, Hartmann LC, Boughey JC. Abstract P5-12-05: Breast cancer (BC) following prophylactic mastectomy (PM), a clinical entity: Presentation, management, and outcomes. Cancer Res 2015. [DOI: 10.1158/1538-7445.sabcs14-p5-12-05] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Objective: Contralateral PM (CPM) and Bilateral PM (BPM) markedly decrease, but do not completely eliminate the possibility of development of a new BC on the side of the PM. Given the relative infrequency of its occurrence, little is known about the clinical characteristics, presentation, and management of patients who develop BC after PM. Our aim was to review our institutional experience of BC occurring after PM.
Methods: Between 1960 and 1993, 1,065 women underwent BPM and 1,643 women with unilateral BC treated with therapeutic mastectomy underwent a CPM. Medical records were reviewed and study-specific questionnaires were sent to all women at 10 years and 20 years after PM. BC after PM included locoregional invasive BC or DCIS on the side of the PM.
Results: Thirteen patients who underwent BPM developed BC after PM. Twelve patients who underwent CPM developed a subsequent BC on the side of the CPM. The median follow-up time from PM was 22 years (range 3-34). Detailed clinical characteristics of BC after PM are shown in Table 1. Presentations included: disease limited to the axilla without evidence of a local primary 4 (16%); synchronous local and axillary disease 1 (4%); synchronous local disease and distant metastases 4 (16%); clinically isolated local disease 17 (68%).
Characteristics of BC Following PM All Patients (n=25)BPM Cohort (n=13)CPM Cohort (n=12)Median age at diagnosis of BC after PM56 (range 38-81)58 (range 38-71)54 (range 39-81)Median time to development of BC after PM (years)7 (range 1-25)6 (range 2-25)8 (range 1-21)Presentation Self-detected abnormality23 (92%)12 (92%)11 (92%)Screening mammogram1 (4%)02 (16%)Not known1 (4%)1 (8%)0Local disease only17 (68%)10 (77%)7 (58%)-Sub-areolar7 (41%)6 (40%)1 (8%)-UOQ/axillary tail2 (12%)02 (16%)-Lower/inframmamary crease2 (12%)1 (10%)1(8%)Chest wall or unspecified6 (35%)3 (30%)3 (25%)Local & regional (axillary) disease1 (4%01 (8%)Axillary BC without evidence of local primary4 (16%)1 (8%)3 (25%)Synchronous local and distant disease3 (12%)2 (15%)1 (8%)
Of the 17 patients with isolated local disease, 11 (65%) underwent a completion/redo mastectomy, local excision of the tumor was performed in 5 (29%), and surgical management was unknown in 1 (6%). Ten of 17 (59%) underwent axillary lymph node dissection, 1 (6%) underwent sentinel lymph node biopsy, 1 did not undergo axillary staging, and axillary management was unknown in 5 (29%). Median tumor size was 0.9 cm (range 0.3-3.5) and only 1 of 17 (6%) patients was confirmed to have pathologic nodal involvement. Twelve of 17 (71%) received some type of adjuvant therapy: chemotherapy and/or endocrine therapy 3 (18%); radiotherapy 2 (12%); both 5 (29%); none 5 (29%). With a median follow-up of 7 years since diagnosis of local BC after PM, there has been one isolated local recurrence and 2 distant recurrences as first event.
Conclusion: BC can occur after PM. With rising rates of PM, understanding management of BC after PM is important. Most common presentation is local disease and can be managed with resection with consideration of adjuvant therapy. Multidisciplinary management of these cases is needed.
Citation Format: Robert W Mutter, Tanya L Hoskin, Marlene H Frost, Joanne L Johnson, Lynn C Hartmann, Judy C Boughey. Breast cancer (BC) following prophylactic mastectomy (PM), a clinical entity: Presentation, management, and outcomes [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P5-12-05.
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Nassar A, Hoskin TL, Stallings-Mann ML, Degnim AC, Radisky DC, Frost MH, Vierkant RA, Hartmann LC, Visscher DW. Ki-67 expression in sclerosing adenosis and adjacent normal breast terminal ductal lobular units: a nested case-control study from the Mayo Benign Breast Disease Cohort. Breast Cancer Res Treat 2015; 151:89-97. [PMID: 25863475 DOI: 10.1007/s10549-015-3370-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2015] [Accepted: 04/03/2015] [Indexed: 11/24/2022]
Abstract
Sclerosing adenosis (SA) increases risk for invasive breast cancer (BC) 2.1 times relative to that in the general population. Here, we sought to evaluate whether the proliferation marker Ki-67 stratifies risk among women with SA. A nested case-control sample of patients with SA was obtained from the Mayo Clinic Benign Breast Disease Cohort. Ki-67 expression was evaluated in SA lesions and in the adjacent normal terminal duct lobular units (TDLU) in women who did (cases, n = 133) or did not (controls, n = 239) develop BC. Ki-67 was scored by intensity and number of positively stained cells per one high-power field (magnification, ×40) (40× HPF) for both SA and normal TDLU. Associations of Ki-67 expression with case-control status were assessed using conditional logistic regression. Higher Ki-67 expression was significantly associated with case-control status in both SA (P = 0.03) and normal background TDLU (P = 0.006). For the SA lesion, >2 average positively stained cells/40× HPF showed an adjusted odds ratio (OR) of 1.9 (95 % CI, 1.1-3.4) compared to samples with an average of ≤2 positively stained cells. For background TDLU, lobules with >2 but ≤6 average positively stained cells showed an adjusted OR of 1.3-1.5, whereas those with an average of >6 positively stained cells had an OR of 2.4 (95 % CI, 1.1-5.3) compared to those with an average of <2 positively stained cells. Among women with SA, increased Ki-67 expression in either the SA lesion or the normal background TDLU carried an approximately twofold increased odds of subsequent BC as compared to lower Ki-67 expression.
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Affiliation(s)
- Aziza Nassar
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 4500 San Pablo Rd, Jacksonville, FL, 32224, USA,
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Pankratz VS, Degnim AC, Frank RD, Frost MH, Visscher DW, Vierkant RA, Hieken TJ, Ghosh K, Tarabishy Y, Vachon CM, Radisky DC, Hartmann LC. Model for individualized prediction of breast cancer risk after a benign breast biopsy. J Clin Oncol 2015; 33:923-9. [PMID: 25624442 DOI: 10.1200/jco.2014.55.4865] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
PURPOSE Optimal early detection and prevention for breast cancer depend on accurate identification of women at increased risk. We present a risk prediction model that incorporates histologic features of biopsy tissues from women with benign breast disease (BBD) and compare its performance to the Breast Cancer Risk Assessment Tool (BCRAT). METHODS We estimated the age-specific incidence of breast cancer and death from the Mayo BBD cohort and then combined these estimates with a relative risk model derived from 377 patient cases with breast cancer and 734 matched controls sampled from the Mayo BBD cohort to develop the BBD-to-breast cancer (BBD-BC) risk assessment tool. We validated the model using an independent set of 378 patient cases with breast cancer and 728 matched controls from the Mayo BBD cohort and compared the risk predictions from our model with those from the BCRAT. RESULTS The BBD-BC model predicts the probability of breast cancer in women with BBD using tissue-based and other risk factors. The concordance statistic from the BBD-BC model was 0.665 in the model development series and 0.629 in the validation series; these values were higher than those from the BCRAT (0.567 and 0.472, respectively). The BCRAT significantly underpredicted breast cancer risk after benign biopsy (P = .004), whereas the BBD-BC predictions were appropriately calibrated to observed cancers (P = .247). CONCLUSION We developed a model using both demographic and histologic features to predict breast cancer risk in women with BBD. Our model more accurately classifies a woman's breast cancer risk after a benign biopsy than the BCRAT.
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Affiliation(s)
- V Shane Pankratz
- V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; Amy C. Degnim, Ryan D. Frank, Marlene H. Frost, Daniel W. Visscher, Robert A. Vierkant, Tina J. Hieken, Karthik Ghosh, Celine M. Vachon, and Lynn C. Hartmann, Mayo Clinic, Rochester, MN; Yaman Tarabishy, Washington University, St Louis, St Louis, MO; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Amy C Degnim
- V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; Amy C. Degnim, Ryan D. Frank, Marlene H. Frost, Daniel W. Visscher, Robert A. Vierkant, Tina J. Hieken, Karthik Ghosh, Celine M. Vachon, and Lynn C. Hartmann, Mayo Clinic, Rochester, MN; Yaman Tarabishy, Washington University, St Louis, St Louis, MO; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Ryan D Frank
- V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; Amy C. Degnim, Ryan D. Frank, Marlene H. Frost, Daniel W. Visscher, Robert A. Vierkant, Tina J. Hieken, Karthik Ghosh, Celine M. Vachon, and Lynn C. Hartmann, Mayo Clinic, Rochester, MN; Yaman Tarabishy, Washington University, St Louis, St Louis, MO; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Marlene H Frost
- V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; Amy C. Degnim, Ryan D. Frank, Marlene H. Frost, Daniel W. Visscher, Robert A. Vierkant, Tina J. Hieken, Karthik Ghosh, Celine M. Vachon, and Lynn C. Hartmann, Mayo Clinic, Rochester, MN; Yaman Tarabishy, Washington University, St Louis, St Louis, MO; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Daniel W Visscher
- V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; Amy C. Degnim, Ryan D. Frank, Marlene H. Frost, Daniel W. Visscher, Robert A. Vierkant, Tina J. Hieken, Karthik Ghosh, Celine M. Vachon, and Lynn C. Hartmann, Mayo Clinic, Rochester, MN; Yaman Tarabishy, Washington University, St Louis, St Louis, MO; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Robert A Vierkant
- V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; Amy C. Degnim, Ryan D. Frank, Marlene H. Frost, Daniel W. Visscher, Robert A. Vierkant, Tina J. Hieken, Karthik Ghosh, Celine M. Vachon, and Lynn C. Hartmann, Mayo Clinic, Rochester, MN; Yaman Tarabishy, Washington University, St Louis, St Louis, MO; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Tina J Hieken
- V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; Amy C. Degnim, Ryan D. Frank, Marlene H. Frost, Daniel W. Visscher, Robert A. Vierkant, Tina J. Hieken, Karthik Ghosh, Celine M. Vachon, and Lynn C. Hartmann, Mayo Clinic, Rochester, MN; Yaman Tarabishy, Washington University, St Louis, St Louis, MO; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Karthik Ghosh
- V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; Amy C. Degnim, Ryan D. Frank, Marlene H. Frost, Daniel W. Visscher, Robert A. Vierkant, Tina J. Hieken, Karthik Ghosh, Celine M. Vachon, and Lynn C. Hartmann, Mayo Clinic, Rochester, MN; Yaman Tarabishy, Washington University, St Louis, St Louis, MO; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Yaman Tarabishy
- V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; Amy C. Degnim, Ryan D. Frank, Marlene H. Frost, Daniel W. Visscher, Robert A. Vierkant, Tina J. Hieken, Karthik Ghosh, Celine M. Vachon, and Lynn C. Hartmann, Mayo Clinic, Rochester, MN; Yaman Tarabishy, Washington University, St Louis, St Louis, MO; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Celine M Vachon
- V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; Amy C. Degnim, Ryan D. Frank, Marlene H. Frost, Daniel W. Visscher, Robert A. Vierkant, Tina J. Hieken, Karthik Ghosh, Celine M. Vachon, and Lynn C. Hartmann, Mayo Clinic, Rochester, MN; Yaman Tarabishy, Washington University, St Louis, St Louis, MO; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Derek C Radisky
- V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; Amy C. Degnim, Ryan D. Frank, Marlene H. Frost, Daniel W. Visscher, Robert A. Vierkant, Tina J. Hieken, Karthik Ghosh, Celine M. Vachon, and Lynn C. Hartmann, Mayo Clinic, Rochester, MN; Yaman Tarabishy, Washington University, St Louis, St Louis, MO; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL
| | - Lynn C Hartmann
- V. Shane Pankratz, University of New Mexico Health Sciences Center, Albuquerque, NM; Amy C. Degnim, Ryan D. Frank, Marlene H. Frost, Daniel W. Visscher, Robert A. Vierkant, Tina J. Hieken, Karthik Ghosh, Celine M. Vachon, and Lynn C. Hartmann, Mayo Clinic, Rochester, MN; Yaman Tarabishy, Washington University, St Louis, St Louis, MO; and Derek C. Radisky, Mayo Clinic, Jacksonville, FL.
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Wahner Hendrickson AE, Hawthorne KM, Goode EL, Kalli KR, Goergen KM, Bakkum-Gamez JN, Cliby WA, Keeney GL, Visscher DW, Tarabishy Y, Oberg AL, Hartmann LC, Maurer MJ. Assessment of published models and prognostic variables in epithelial ovarian cancer at Mayo Clinic. Gynecol Oncol 2015; 137:77-85. [PMID: 25620544 PMCID: PMC4380608 DOI: 10.1016/j.ygyno.2015.01.539] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2014] [Accepted: 01/19/2015] [Indexed: 11/18/2022]
Abstract
OBJECTIVES Epithelial ovarian cancer (EOC) is an aggressive disease in which first line therapy consists of a surgical staging/debulking procedure and platinum based chemotherapy. There is significant interest in clinically applicable, easy to use prognostic tools to estimate risk of recurrence and overall survival. In this study we used a large prospectively collected cohort of women with EOC to validate currently published models and assess prognostic variables. METHODS Women with invasive ovarian, peritoneal, or fallopian tube cancer diagnosed between 2000 and 2011 and prospectively enrolled into the Mayo Clinic Ovarian Cancer registry were identified. Demographics and known prognostic markers as well as epidemiologic exposure variables were abstracted from the medical record and collected via questionnaire. Six previously published models of overall and recurrence-free survival were assessed for external validity. In addition, predictors of outcome were assessed in our dataset. RESULTS Previously published models validated with a range of c-statistics (0.587-0.827), though application of models containing variables which are not part of routine practice were somewhat limited by missing data; utilization of all applicable models and comparison of results are suggested. Examination of prognostic variables identified only the presence of ascites and ASA score to be independent predictors of prognosis in our dataset, albeit with marginal gain in prognostic information, after accounting for stage and debulking. CONCLUSIONS Existing prognostic models for newly diagnosed EOC showed acceptable calibration in our cohort for clinical application. However, modeling of prospective variables in our dataset reiterates that stage and debulking remains the most important predictors of prognosis in this setting.
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Affiliation(s)
| | - Kieran M Hawthorne
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States
| | - Ellen L Goode
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States
| | - Kimberly R Kalli
- Department of Medical Oncology, Mayo Clinic, Rochester, MN, United States
| | - Krista M Goergen
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States
| | - Jamie N Bakkum-Gamez
- Department of Obstetrics of Gynecology, Mayo Clinic, Rochester, MN, United States
| | - William A Cliby
- Department of Obstetrics of Gynecology, Mayo Clinic, Rochester, MN, United States
| | - Gary L Keeney
- Department of Anatomic Pathology, Mayo Clinic, Rochester, MN, United States
| | - Daniel W Visscher
- Department of Anatomic Pathology, Mayo Clinic, Rochester, MN, United States
| | | | - Ann L Oberg
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States
| | - Lynn C Hartmann
- Department of Medical Oncology, Mayo Clinic, Rochester, MN, United States
| | - Matthew J Maurer
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States.
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43
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Affiliation(s)
- Lynn C Hartmann
- From the Departments of Oncology (L.C.H.), Surgery (A.C.D.), and Internal Medicine (K.G.), Mayo Clinic, Rochester, MN; the Department of Endocrinology and Metabolism Medicine, University of Virginia, Charlottesville (R.J.S.); and the Department of Biostatistics, Vanderbilt University, Nashville (W.D.D.)
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44
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Galanis E, Atherton PJ, Maurer MJ, Knutson KL, Dowdy SC, Cliby WA, Haluska P, Long HJ, Oberg A, Aderca I, Block MS, Bakkum-Gamez J, Federspiel MJ, Russell SJ, Kalli KR, Keeney G, Peng KW, Hartmann LC. Oncolytic measles virus expressing the sodium iodide symporter to treat drug-resistant ovarian cancer. Cancer Res 2014; 75:22-30. [PMID: 25398436 DOI: 10.1158/0008-5472.can-14-2533] [Citation(s) in RCA: 137] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Edmonston vaccine strains of measles virus (MV) have significant antitumor activity in mouse xenograft models of ovarian cancer. MV engineered to express the sodium iodide symporter gene (MV-NIS) facilitates localization of viral gene expression and offers a tool for tumor radiovirotherapy. Here, we report results from a clinical evaluation of MV-NIS in patients with taxol- and platinum-resistant ovarian cancer. MV-NIS was given intraperitoneally every 4 weeks for up to 6 cycles. Treatment was well tolerated and associated with promising median overall survival in these patients with heavily pretreated ovarian cancer; no dose-limiting toxicity was observed in 16 patients treated at high-dose levels (10(8)-10(9) TCID50), and their median overall survival of 26.5 months compared favorably with other contemporary series. MV receptor CD46 and nectin-4 expression was confirmed by immunohistochemistry in patient tumors. Sodium iodide symporter expression in patient tumors after treatment was confirmed in three patients by (123)I uptake on SPECT/CTs and was associated with long progression-free survival. Immune monitoring posttreatment showed an increase in effector T cells recognizing the tumor antigens IGFBP2 and FRα, indicating that MV-NIS treatment triggered cellular immunity against the patients' tumor and suggesting that an immune mechanism mediating the observed antitumor effect. Our findings support further clinical evaluation of MV-NIS as an effective immunovirotherapy.
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Affiliation(s)
- Evanthia Galanis
- Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota. Department of Molecular Medicine, Mayo Clinic, Rochester, Minnesota.
| | | | | | - Keith L Knutson
- Department of Immunology, Mayo Clinic, Rochester, Minnesota. Vaccine and Gene Therapy Institute of Florida, Port Saint Lucie, Florida
| | - Sean C Dowdy
- Division of Gynecological Surgery, Mayo Clinic, Rochester, Minnesota
| | - William A Cliby
- Division of Gynecological Surgery, Mayo Clinic, Rochester, Minnesota
| | - Paul Haluska
- Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota
| | - Harry J Long
- Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota
| | - Ann Oberg
- Department of Statistics, Mayo Clinic, Rochester, Minnesota
| | - Ileana Aderca
- Department of Molecular Medicine, Mayo Clinic, Rochester, Minnesota
| | - Matthew S Block
- Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota
| | | | | | | | | | - Gary Keeney
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Kah Whye Peng
- Department of Molecular Medicine, Mayo Clinic, Rochester, Minnesota
| | - Lynn C Hartmann
- Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota
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Peethambaram PP, Hartmann LC, Jonker DJ, de Jonge M, Plummer ER, Martin L, Konner J, Marshall J, Goss GD, Teslenko V, Clemens PL, Cohen LJ, Ahlers CM, Alland L. A phase I pharmacokinetic and safety analysis of epothilone folate (BMS-753493), a folate receptor targeted chemotherapeutic agent in humans with advanced solid tumors. Invest New Drugs 2014; 33:321-31. [PMID: 25380635 DOI: 10.1007/s10637-014-0171-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2014] [Accepted: 10/02/2014] [Indexed: 11/26/2022]
Abstract
Background The folate receptor alpha is selectively over-expressed in a number of human cancers. BMS-753493 is a folate conjugate of the epothilone analog BMS-748285 that was designed to selectively target folate receptor expressing cancer cells. Methods BMS-753493 was investigated in two parallel multi-institutional first-in-human phase I/IIa studies in patients with advanced solid tumors. In Study 1, patients were treated on a schedule of once daily dosing of BMS-753493 administered on Days 1, 4, 8 and 11 every 21 days with a starting dose of 5 mg daily and in Study 2, patients were treated once daily on Days 1-4 every 21 days, with a starting dose of 2.5 mg daily. Results A total of 65 patients were treated across the two studies. The maximum tolerated dose (MTD) was 26 mg in Study 1 and 15 mg in Study 2. Fatigue, transaminitis, gastrointestinal toxicity, and mucositis were dose-limiting toxicities. One patient in Study 2 developed Stevens-Johnson syndrome attributed to BMS-753493. Plasma exposures of both the conjugated and free epothilone increased in a dose related fashion in both studies and the half-life of the conjugated epothilone was 0.2-0.6 h across dose levels. No objective tumor responses were seen in either study. Conclusions BMS-753493 was generally tolerable and toxicities known to be associated with epothilone class of anticancer agents were common, although peripheral neuropathy and neutropenia appear to have been less frequent and less severe as compared to epothilones. Antitumor activity was not demonstrated and further development of BMS-753493 has been discontinued.
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Konecny GE, Wang C, Hamidi H, Winterhoff B, Kalli KR, Dering J, Ginther C, Chen HW, Dowdy S, Cliby W, Gostout B, Podratz KC, Keeney G, Wang HJ, Hartmann LC, Slamon DJ, Goode EL. Prognostic and therapeutic relevance of molecular subtypes in high-grade serous ovarian cancer. J Natl Cancer Inst 2014. [PMID: 25269487 DOI: 10.1093/jnci/dju249]+[] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Molecular classification of high-grade serous ovarian cancer (HGSOC) using transcriptional profiling has proven to be complex and difficult to validate across studies. We determined gene expression profiles of 174 well-annotated HGSOCs and demonstrate prognostic significance of the prespecified TCGA Network gene signatures. Furthermore, we confirm the presence of four HGSOC transcriptional subtypes using a de novo classification. Survival differed statistically significantly between de novo subtypes (log rank, P = .006) and was the best for the immunoreactive-like subtype, but statistically significantly worse for the proliferative- or mesenchymal-like subtypes (adjusted hazard ratio = 1.89, 95% confidence interval = 1.18 to 3.02, P = .008, and adjusted hazard ratio = 2.45, 95% confidence interval = 1.43 to 4.18, P = .001, respectively). More prognostic information was provided by the de novo than the TCGA classification (Likelihood Ratio tests, P = .003 and P = .04, respectively). All statistical tests were two-sided. These findings were replicated in an external data set of 185 HGSOCs and confirm the presence of four prognostically relevant molecular subtypes that have the potential to guide therapy decisions.
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Affiliation(s)
- Gottfried E Konecny
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Chen Wang
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Habib Hamidi
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Boris Winterhoff
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Kimberly R Kalli
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Judy Dering
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Charles Ginther
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Hsiao-Wang Chen
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Sean Dowdy
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - William Cliby
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Bobbie Gostout
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Karl C Podratz
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Gary Keeney
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - He-Jing Wang
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Lynn C Hartmann
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Dennis J Slamon
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Ellen L Goode
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
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Konecny GE, Wang C, Hamidi H, Winterhoff B, Kalli KR, Dering J, Ginther C, Chen HW, Dowdy S, Cliby W, Gostout B, Podratz KC, Keeney G, Wang HJ, Hartmann LC, Slamon DJ, Goode EL. Prognostic and therapeutic relevance of molecular subtypes in high-grade serous ovarian cancer. J Natl Cancer Inst 2014. [PMID: 25269487 DOI: 10.1093/jnci/dju249.] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Molecular classification of high-grade serous ovarian cancer (HGSOC) using transcriptional profiling has proven to be complex and difficult to validate across studies. We determined gene expression profiles of 174 well-annotated HGSOCs and demonstrate prognostic significance of the prespecified TCGA Network gene signatures. Furthermore, we confirm the presence of four HGSOC transcriptional subtypes using a de novo classification. Survival differed statistically significantly between de novo subtypes (log rank, P = .006) and was the best for the immunoreactive-like subtype, but statistically significantly worse for the proliferative- or mesenchymal-like subtypes (adjusted hazard ratio = 1.89, 95% confidence interval = 1.18 to 3.02, P = .008, and adjusted hazard ratio = 2.45, 95% confidence interval = 1.43 to 4.18, P = .001, respectively). More prognostic information was provided by the de novo than the TCGA classification (Likelihood Ratio tests, P = .003 and P = .04, respectively). All statistical tests were two-sided. These findings were replicated in an external data set of 185 HGSOCs and confirm the presence of four prognostically relevant molecular subtypes that have the potential to guide therapy decisions.
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Affiliation(s)
- Gottfried E Konecny
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Chen Wang
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Habib Hamidi
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Boris Winterhoff
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Kimberly R Kalli
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Judy Dering
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Charles Ginther
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Hsiao-Wang Chen
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Sean Dowdy
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - William Cliby
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Bobbie Gostout
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Karl C Podratz
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Gary Keeney
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - He-Jing Wang
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Lynn C Hartmann
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Dennis J Slamon
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Ellen L Goode
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
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Konecny GE, Wang C, Hamidi H, Winterhoff B, Kalli KR, Dering J, Ginther C, Chen HW, Dowdy S, Cliby W, Gostout B, Podratz KC, Keeney G, Wang HJ, Hartmann LC, Slamon DJ, Goode EL. Prognostic and therapeutic relevance of molecular subtypes in high-grade serous ovarian cancer. J Natl Cancer Inst 2014. [PMID: 25269487 DOI: 10.1093/jnci/dju249] [] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
Molecular classification of high-grade serous ovarian cancer (HGSOC) using transcriptional profiling has proven to be complex and difficult to validate across studies. We determined gene expression profiles of 174 well-annotated HGSOCs and demonstrate prognostic significance of the prespecified TCGA Network gene signatures. Furthermore, we confirm the presence of four HGSOC transcriptional subtypes using a de novo classification. Survival differed statistically significantly between de novo subtypes (log rank, P = .006) and was the best for the immunoreactive-like subtype, but statistically significantly worse for the proliferative- or mesenchymal-like subtypes (adjusted hazard ratio = 1.89, 95% confidence interval = 1.18 to 3.02, P = .008, and adjusted hazard ratio = 2.45, 95% confidence interval = 1.43 to 4.18, P = .001, respectively). More prognostic information was provided by the de novo than the TCGA classification (Likelihood Ratio tests, P = .003 and P = .04, respectively). All statistical tests were two-sided. These findings were replicated in an external data set of 185 HGSOCs and confirm the presence of four prognostically relevant molecular subtypes that have the potential to guide therapy decisions.
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Affiliation(s)
- Gottfried E Konecny
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Chen Wang
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Habib Hamidi
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Boris Winterhoff
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Kimberly R Kalli
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Judy Dering
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Charles Ginther
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Hsiao-Wang Chen
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Sean Dowdy
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - William Cliby
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Bobbie Gostout
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Karl C Podratz
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Gary Keeney
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - He-Jing Wang
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Lynn C Hartmann
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Dennis J Slamon
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Ellen L Goode
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
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Brahmbhatt RD, Visscher DW, Hoskin TL, Radisky DC, Murphy LM, Mann MLS, Miller E, Pankratz VS, Hartmann LC, Frost MH, Degnim AC. Abstract 1652: Immune infiltration of normal and benign breast lobules varies in breast tissues based on cancer risk. Cancer Res 2014. [DOI: 10.1158/1538-7445.am2014-1652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: Histologic characteristics of nonmalignant breast tissues (epithelial proliferation and involution) are associated with future breast cancer (BC) risk. We evaluated immune infiltration (lobulitis) in benign breast lobules and its association with features of BC risk.
Methods: We analyzed archived nonmalignant breast tissue samples from 81 women in age-matched groups of varying cancer risk: 27 with benign breast disease (BBD) who later developed BC (cases), 27 with BBD without subsequent BC (controls), and 27 normal women without clinical breast disease from the Komen Tissue Bank at Indiana University (KTB). Up to 10 lobules in each sample were characterized by H&E for lobulitis, involution (none, partial, complete), and fibrocystic (FC) status (normal, nonproliferative, proliferative). Lobulitis was defined by H&E staining as lymphocyte nuclei in the intralobular stroma at low magnification and between adjacent acini at high magnification. Data was analyzed by mixed effects logistic regression.
Results: Median age was 57 years (range 37-70). Among 81 breast tissue samples, 750 lobules were evaluated: 249 in BBD Cases, 265 in BBD Controls, and 236 in KTB donors. 56% of lobules were normal and 44% were FC, with 87% of FC lobules occurring in BBD samples. Lobulitis was present in 44% of lobules and varied according to subject age and individual lobule features. Younger women were more likely to have lobulitis (p=0.002); among women <50 the median proportion of lobules with lobulitis was 50%, versus 30% among women 50+. Lobulitis was less frequent in lobules with complete involution (37%) compared to partial (74%) or no involution (84%), p<0.0001. Lobulitis was common in normal lobules (52%) and decreased with increasing epithelial abnormality-39% of nonproliferative lobules and 27% of proliferative lobules (p<0.0001). In multivariate analysis including all 3 variables, all 3 remained significantly associated with lobulitis: age (p=0.03), proliferation (p<0.0001), and involution (p=0.0001). Lobules with lobulitis were less frequent in groups of women with increased breast cancer risk-55% of lobules in normal KTB samples, 43% in BBD controls, and 35% in BBD cases (p = 0.02).
Conclusion: Lobulitis is common in normal and benign breast tissue lobules but varies with age, involution status, and epithelial abnormality. Further work is needed to understand the role of immune infiltrates in breast cancer risk.
Citation Format: Rushin D. Brahmbhatt, Daniel W. Visscher, Tanya L. Hoskin, Derek C. Radisky, Linda M. Murphy, Melody L. Stallings Mann, Erin Miller, Vernon S. Pankratz, Lynn C. Hartmann, Marlene H. Frost, Amy C. Degnim. Immune infiltration of normal and benign breast lobules varies in breast tissues based on cancer risk. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 1652. doi:10.1158/1538-7445.AM2014-1652
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Konecny GE, Wang C, Hamidi H, Winterhoff B, Kalli KR, Dering J, Ginther C, Chen HW, Dowdy S, Cliby W, Gostout B, Podratz KC, Keeney G, Wang HJ, Hartmann LC, Slamon DJ, Goode EL. Prognostic and therapeutic relevance of molecular subtypes in high-grade serous ovarian cancer. J Natl Cancer Inst 2014; 106:dju249. [PMID: 25269487 DOI: 10.1093/jnci/dju249] [Citation(s) in RCA: 257] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Molecular classification of high-grade serous ovarian cancer (HGSOC) using transcriptional profiling has proven to be complex and difficult to validate across studies. We determined gene expression profiles of 174 well-annotated HGSOCs and demonstrate prognostic significance of the prespecified TCGA Network gene signatures. Furthermore, we confirm the presence of four HGSOC transcriptional subtypes using a de novo classification. Survival differed statistically significantly between de novo subtypes (log rank, P = .006) and was the best for the immunoreactive-like subtype, but statistically significantly worse for the proliferative- or mesenchymal-like subtypes (adjusted hazard ratio = 1.89, 95% confidence interval = 1.18 to 3.02, P = .008, and adjusted hazard ratio = 2.45, 95% confidence interval = 1.43 to 4.18, P = .001, respectively). More prognostic information was provided by the de novo than the TCGA classification (Likelihood Ratio tests, P = .003 and P = .04, respectively). All statistical tests were two-sided. These findings were replicated in an external data set of 185 HGSOCs and confirm the presence of four prognostically relevant molecular subtypes that have the potential to guide therapy decisions.
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Affiliation(s)
- Gottfried E Konecny
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Chen Wang
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Habib Hamidi
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Boris Winterhoff
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Kimberly R Kalli
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Judy Dering
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Charles Ginther
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Hsiao-Wang Chen
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Sean Dowdy
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - William Cliby
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Bobbie Gostout
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Karl C Podratz
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Gary Keeney
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - He-Jing Wang
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Lynn C Hartmann
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Dennis J Slamon
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
| | - Ellen L Goode
- Division of Hematology-Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (GEK, HH, JD, CG, HWC, DJS); Department of Health Sciences Research (CW, ELG), Department of Gynecologic Surgery (BW, SD, WC, BG, KCP), Department of Medicine (KRK, LCH), and Department of Pathology (GK), Mayo Clinic, Rochester, MN; Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (HJW)
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