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Strand SH, Rivero-Gutiérrez B, Houlahan KE, Seoane JA, King LM, Risom T, Simpson LA, Vennam S, Khan A, Cisneros L, Hardman T, Harmon B, Couch F, Gallagher K, Kilgore M, We S, DeMichele A, King T, McAuliffe PF, Nangia J, Lee J, Tseng J, Storniolo AM, Thompson AM, Gupta GP, Burns R, Veis DJ, DeSchryver K, Zhu C, Matusiak M, Wang J, Zhu SX, Tappenden J, Ding DY, Zhang D, Luo J, Jiang S, Varma S, Anderson L, Straub C, Srivastava S, Curtis C, Tibshirani R, Angelo RM, Hall A, Owzar K, Polyak K, Maley C, Marks JR, Colditz GA, Shelley Hwang E, West RB. Molecular classification and biomarkers of clinical outcome in breast ductal carcinoma in situ: Analysis of TBCRC 038 and RAHBT cohorts. Cancer Cell 2023; 41:1381. [PMID: 37433282 PMCID: PMC10416265 DOI: 10.1016/j.ccell.2023.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/13/2023]
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Strand SH, Rivero-Gutiérrez B, Houlahan KE, Seoane JA, King LM, Risom T, Simpson LA, Vennam S, Khan A, Cisneros L, Hardman T, Harmon B, Couch F, Gallagher K, Kilgore M, Wei S, DeMichele A, King T, McAuliffe PF, Nangia J, Lee J, Tseng J, Storniolo AM, Thompson AM, Gupta GP, Burns R, Veis DJ, DeSchryver K, Zhu C, Matusiak M, Wang J, Zhu SX, Tappenden J, Ding DY, Zhang D, Luo J, Jiang S, Varma S, Anderson L, Straub C, Srivastava S, Curtis C, Tibshirani R, Angelo RM, Hall A, Owzar K, Polyak K, Maley C, Marks JR, Colditz GA, Hwang ES, West RB. Molecular classification and biomarkers of clinical outcome in breast ductal carcinoma in situ: Analysis of TBCRC 038 and RAHBT cohorts. Cancer Cell 2022; 40:1521-1536.e7. [PMID: 36400020 PMCID: PMC9772081 DOI: 10.1016/j.ccell.2022.10.021] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 07/29/2022] [Accepted: 10/24/2022] [Indexed: 11/18/2022]
Abstract
Ductal carcinoma in situ (DCIS) is the most common precursor of invasive breast cancer (IBC), with variable propensity for progression. We perform multiscale, integrated molecular profiling of DCIS with clinical outcomes by analyzing 774 DCIS samples from 542 patients with 7.3 years median follow-up from the Translational Breast Cancer Research Consortium 038 study and the Resource of Archival Breast Tissue cohorts. We identify 812 genes associated with ipsilateral recurrence within 5 years from treatment and develop a classifier that predicts DCIS or IBC recurrence in both cohorts. Pathways associated with recurrence include proliferation, immune response, and metabolism. Distinct stromal expression patterns and immune cell compositions are identified. Our multiscale approach employed in situ methods to generate a spatially resolved atlas of breast precancers, where complementary modalities can be directly compared and correlated with conventional pathology findings, disease states, and clinical outcome.
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MESH Headings
- Humans
- Female
- Carcinoma, Intraductal, Noninfiltrating/genetics
- Carcinoma, Intraductal, Noninfiltrating/metabolism
- Carcinoma, Intraductal, Noninfiltrating/pathology
- Carcinoma, Ductal, Breast/genetics
- Carcinoma, Ductal, Breast/metabolism
- Carcinoma, Ductal, Breast/pathology
- Disease Progression
- Breast Neoplasms/pathology
- Biomarkers
- Biomarkers, Tumor/genetics
- Biomarkers, Tumor/analysis
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Affiliation(s)
- Siri H Strand
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Molecular Medicine, Aarhus University Hospital, 8200 Aarhus N, Denmark
| | - Belén Rivero-Gutiérrez
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Kathleen E Houlahan
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Jose A Seoane
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA; Vall d'Hebron Institute of Oncology, 08035 Barcelona, Spain
| | - Lorraine M King
- Department of Surgery, Duke University School of Medicine, Durham, NC 27708, USA
| | - Tyler Risom
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Lunden A Simpson
- Department of Surgery, Duke University School of Medicine, Durham, NC 27708, USA
| | - Sujay Vennam
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Aziz Khan
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Luis Cisneros
- School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Timothy Hardman
- Department of Surgery, Duke University School of Medicine, Durham, NC 27708, USA
| | - Bryan Harmon
- Department of Pathology, Montefiore Medical Center, Bronx, NY 10467, USA; TBCRC Loco-Regional Working Group, Baltimore, MD 21287, USA
| | - Fergus Couch
- TBCRC Loco-Regional Working Group, Baltimore, MD 21287, USA; Department of Pathology, Mayo Clinic, Rochester, MN 55902, USA
| | - Kristalyn Gallagher
- TBCRC Loco-Regional Working Group, Baltimore, MD 21287, USA; Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Mark Kilgore
- TBCRC Loco-Regional Working Group, Baltimore, MD 21287, USA; Department of Pathology, University of Washington, Seattle, WA 98195, USA
| | - Shi Wei
- TBCRC Loco-Regional Working Group, Baltimore, MD 21287, USA; Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Angela DeMichele
- TBCRC Loco-Regional Working Group, Baltimore, MD 21287, USA; Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Tari King
- TBCRC Loco-Regional Working Group, Baltimore, MD 21287, USA; Breast Oncology Program, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Surgery, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Priscilla F McAuliffe
- TBCRC Loco-Regional Working Group, Baltimore, MD 21287, USA; Department of Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Julie Nangia
- TBCRC Loco-Regional Working Group, Baltimore, MD 21287, USA; Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston TX 77030, USA
| | - Joanna Lee
- TBCRC Loco-Regional Working Group, Baltimore, MD 21287, USA; Department of Surgery, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jennifer Tseng
- TBCRC Loco-Regional Working Group, Baltimore, MD 21287, USA; Department of Surgery, University of Chicago, Chicago, IL 60637, USA
| | - Anna Maria Storniolo
- TBCRC Loco-Regional Working Group, Baltimore, MD 21287, USA; Department of Medicine, Indiana University, Indianapolis, IN 46202, USA
| | - Alastair M Thompson
- TBCRC Loco-Regional Working Group, Baltimore, MD 21287, USA; Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston TX 77030, USA; Department of Surgery, Baylor College of Medicine, Houston, TX 77030, USA
| | - Gaorav P Gupta
- TBCRC Loco-Regional Working Group, Baltimore, MD 21287, USA; Department of Radiation Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Robyn Burns
- TBCRC Loco-Regional Working Group, Baltimore, MD 21287, USA; TBCRC, The EMMES Corporation, Rockville, MD 20850, USA
| | - Deborah J Veis
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63108, USA; Departments of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Katherine DeSchryver
- Departments of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Chunfang Zhu
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Magdalena Matusiak
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Jason Wang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Shirley X Zhu
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Jen Tappenden
- Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Daisy Yi Ding
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Dadong Zhang
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC 27708, USA
| | - Jingqin Luo
- Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Shu Jiang
- Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Sushama Varma
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Lauren Anderson
- Department of Surgery, Duke University School of Medicine, Durham, NC 27708, USA
| | - Cody Straub
- Department of Surgery, Duke University School of Medicine, Durham, NC 27708, USA
| | - Sucheta Srivastava
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Christina Curtis
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Medicine and Genetics, Stanford University, Stanford, CA 94305, USA
| | - Rob Tibshirani
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA; Department of Statistics, Stanford University, Stanford, CA 94305, USA
| | - Robert Michael Angelo
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Allison Hall
- Department of Pathology, Duke University School of Medicine, Durham, NC 27708, USA
| | - Kouros Owzar
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC 27708, USA; Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, NC 27708, USA
| | - Kornelia Polyak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Carlo Maley
- School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Jeffrey R Marks
- Department of Surgery, Duke University School of Medicine, Durham, NC 27708, USA
| | - Graham A Colditz
- Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - E Shelley Hwang
- Department of Surgery, Duke University School of Medicine, Durham, NC 27708, USA.
| | - Robert B West
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.
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Strand SH, Rivero-Gutiérrez B, Houlahan KE, Seoane JA, King LM, Risom T, Simpson L, Vennam S, Khan A, Hardman T, Harmon BE, Couch FJ, Gallagher K, Kilgore M, Wei S, DeMichele A, King T, McAuliffe PF, Nangia J, Lee J, Tseng J, Storniolo AM, Thompson A, Gupta G, Burns R, Veis DJ, DeSchryver K, Zhu C, Matusiak M, Wang J, Zhu SX, Tappenden J, Ding DY, Zhang D, Luo J, Jiang S, Varma S, Straub C, Srivastava S, Curtis C, Tibshirani R, Angelo RM, Hall A, Owzar K, Polyak K, Maley C, Marks JR, Colditz GA, Hwang ES, West RB. Abstract GS4-07: The Breast PreCancer Atlas DCIS genomic signatures define biology and correlate with clinical outcomes: An analysis of TBCRC 038 and RAHBT cohorts. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-gs4-07] [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. DCIS consists of a molecularly heterogeneous group of premalignant lesions, with variable risk of invasive progression. Understanding biomarkers for invasive progression could help individualize treatment recommendations based upon tumor biology. As part of the NCI Human Tumor Atlas Network (HTAN), we conducted comprehensive genomic analyses on two large DCIS case-control cohorts. Methods. We performed smart3-seq and low-pass whole genome sequencing on two independent, retrospective, longitudinally sampled DCIS case-control cohorts. TBCRC 038 was a multicenter cohort diagnosed with DCIS between 1998 and 2016 at one of the Translational Breast Cancer Research sites; the RAHBT (Resource of Archival Human Breast Tissue) cohort included women identified through the St. Louis Breast Tissue Repository, and the Women’s Health Repository diagnosed between 1997 and 2001. We studied the spectrum of molecular changes present and sought genomic predictors of subsequent ipsilateral breast events (iBEs: DCIS recurrence or invasive progression) in both DCIS epithelium and stroma in formalin fixed paraffin embedded tissue. We generated de novo tumor and stroma-centric subtypes for DCIS that represents fundamental transcriptomic organization. Copy number analysis was performed using low-pass DNA sequencing. Non-negative matrix factorization (NMF) was applied to the RNA expression of all coding genes to identify clusters. A negative-binomial regression model was used to identify differentially expressed genes. Results. We analyzed 677 DCIS samples from 481 patients with 7.1 years median follow-up. In TBCRC samples, we identified three clusters via NMF in TBCRC referred to as ER low, quiescent, and ER high. The ER-low cluster had significantly higher levels of ERBB2 and lower levels of ESR1 compared to quiescent and ER-high clusters. Quiescent cluster lesions were less proliferative and less metabolically active than ER high and ER low subtypes. These findings were replicated in the RAHBT cohort. Focusing on the stromal component of DCIS from laser capture microdissection in RAHBT samples, we identified four distinct DCIS-associated stromal clusters. A “normal-like” stromal cluster with ECM organization and PI3K-AKT signaling; a “collagen-rich” stromal cluster; a “desmoplastic” stromal cluster with high fibroblast and total myeloid abundance, mostly associated with macrophages and myeloid dendritic cells (mDC); and an “immune-dense” stromal cluster. Further, we compared differentially expressed genes in patients with or without subsequent iBEs within 5 years of diagnosis. Hypothesizing that the resulting 812 DE genes (DESeq2) represent multiple routes to subsequent iBEs, we leveraged NMF to identify paths to progression. In both TBCRC and RAHBT cohorts, poor outcome groups exhibited increased ER, MYC signaling, and oxidative phosphorylation, supporting that these pathways are important for DCIS recurrence and progression. Conclusion. Comprehensive genomic profiling in two independent DCIS cohorts with longitudinal outcomes shows distinct DCIS stromal expression patterns and immune cell composition. RNA expression profiles reveal underlying tumor biology that is associated with later iBEs in both cohorts. These studies provide new insight into DCIS biology and will guide the design of diagnostic strategies to prevent invasive progression.
Citation Format: Siri H Strand, Belén Rivero-Gutiérrez, Kathleen E Houlahan, Jose A Seoane, Lorraine M King, Tyler Risom, Lunden Simpson, Sujay Vennam, Aziz Khan, Timothy Hardman, Bryan E Harmon, Fergus J Couch, Kristalyn Gallagher, Mark Kilgore, Shi Wei, Angela DeMichele, Tari King, Priscilla F McAuliffe, Julie Nangia, Joanna Lee, Jennifer Tseng, Anna Maria Storniolo, Alastair Thompson, Gaorav Gupta, Robyn Burns, Deborah J Veis, Katherine DeSchryver, Chunfang Zhu, Magdalena Matusiak, Jason Wang, Shirley X Zhu, Jen Tappenden, Daisy Yi Ding, Dadong Zhang, Jingqin Luo, Shu Jiang, Sushama Varma, Cody Straub, Sucheta Srivastava, Christina Curtis, Rob Tibshirani, Robert Michael Angelo, Allison Hall, Kouros Owzar, Kornelia Polyak, Carlo Maley, Jeffrey R Marks, Graham A Colditz, E Shelley Hwang, Robert B West. The Breast PreCancer Atlas DCIS genomic signatures define biology and correlate with clinical outcomes: An analysis of TBCRC 038 and RAHBT cohorts [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr GS4-07.
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Affiliation(s)
| | | | | | - Jose A Seoane
- Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | | | | | | | | | | | | | | | | | | | | | - Shi Wei
- University of Alabama at Birmingham, Birmingham, AL
| | | | - Tari King
- Dana-Farber Cancer Institute, Boston, MA
| | | | | | | | | | | | | | - Gaorav Gupta
- University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | | | | | | | | | | | | | | | | | | | | | - Shu Jiang
- Washington University, St. Louis, MO
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Fortunato A, Mallo D, Rupp SM, King LM, Hardman T, Lo JY, Hall A, Marks JR, Hwang ES, Maley CC. A new method to accurately identify single nucleotide variants using small FFPE breast samples. Brief Bioinform 2021; 22:6296507. [PMID: 34117742 PMCID: PMC8574974 DOI: 10.1093/bib/bbab221] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 05/14/2021] [Accepted: 05/20/2021] [Indexed: 11/14/2022] Open
Abstract
Most tissue collections of neoplasms are composed of formalin-fixed and paraffin-embedded (FFPE) excised tumor samples used for routine diagnostics. DNA sequencing is becoming increasingly important in cancer research and clinical management; however it is difficult to accurately sequence DNA from FFPE samples. We developed and validated a new bioinformatic pipeline to use existing variant-calling strategies to robustly identify somatic single nucleotide variants (SNVs) from whole exome sequencing using small amounts of DNA extracted from archival FFPE samples of breast cancers. We optimized this strategy using 28 pairs of technical replicates. After optimization, the mean similarity between replicates increased 5-fold, reaching 88% (range 0-100%), with a mean of 21.4 SNVs (range 1-68) per sample, representing a markedly superior performance to existing tools. We found that the SNV-identification accuracy declined when there was less than 40 ng of DNA available and that insertion-deletion variant calls are less reliable than single base substitutions. As the first application of the new algorithm, we compared samples of ductal carcinoma in situ of the breast to their adjacent invasive ductal carcinoma samples. We observed an increased number of mutations (paired-samples sign test, P < 0.05), and a higher genetic divergence in the invasive samples (paired-samples sign test, P < 0.01). Our method provides a significant improvement in detecting SNVs in FFPE samples over previous approaches.
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Affiliation(s)
- Angelo Fortunato
- Arizona Cancer Evolution Center, Arizona State University, 1001 S. McAllister Ave., Tempe, AZ, 85287, USA.,Biodesign Center for Biocomputing, Security and Society, Arizona State University, 727 E. Tyler St., Tempe, AZ 85281 USA.,School of Life Sciences, Arizona State University, 427 East Tyler Mall, Tempe, AZ 85287, USA
| | - Diego Mallo
- Arizona Cancer Evolution Center, Arizona State University, 1001 S. McAllister Ave., Tempe, AZ, 85287, USA.,Biodesign Center for Biocomputing, Security and Society, Arizona State University, 727 E. Tyler St., Tempe, AZ 85281 USA.,School of Life Sciences, Arizona State University, 427 East Tyler Mall, Tempe, AZ 85287, USA
| | - Shawn M Rupp
- Arizona Cancer Evolution Center, Arizona State University, 1001 S. McAllister Ave., Tempe, AZ, 85287, USA.,Biodesign Center for Biocomputing, Security and Society, Arizona State University, 727 E. Tyler St., Tempe, AZ 85281 USA
| | | | | | - Joseph Y Lo
- Department of Radiology, Duke University, Durham, NC, USA
| | - Allison Hall
- Department of Pathology, Duke University, Durham, NC, USA
| | | | | | - Carlo C Maley
- Arizona Cancer Evolution Center, Arizona State University, 1001 S. McAllister Ave., Tempe, AZ, 85287, USA.,Biodesign Center for Biocomputing, Security and Society, Arizona State University, 727 E. Tyler St., Tempe, AZ 85281 USA.,School of Life Sciences, Arizona State University, 427 East Tyler Mall, Tempe, AZ 85287, USA
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Ryser MD, Sorribes IC, Greenwald M, Wu E, Hall A, Mallo D, King LM, Hardman T, Simpson L, Maley CC, Marks JR, Shibata D, Hwang ES. Abstract PR02: Inferring the evolutionary dynamics of ductal carcinoma in situ through multi-regional sequencing and mathematical modeling. Cancer Res 2020. [DOI: 10.1158/1538-7445.tumhet2020-pr02] [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. The natural history of preinvasive breast cancer, or ductal carcinoma in situ (DCIS) remains poorly understood. Overcoming this gap would allow risk-appropriate treatment for patients diagnosed with DCIS. We used a multiregional sequencing approach in combination with mathematical modeling to characterize the evolutionary dynamics of DCIS initiation and progression. Methods. We analyzed a cohort of 18 patients diagnosed with DCIS, either with (n=9) or without (n=9) synchronous invasive cancer. Based on whole exome sequencing, tumor-specific mutation panels were constructed, each targeting 29-75 mutations (median: 60). From each tumor, and using selective ultraviolet radiation fractionation (SURF), we microdissected small spots (encompassing 1-3 duct cross-sections) from 3-4 spatially separated microscope sections (mean slide separation: 1.25cm, range: 0.34-6.0cm). Spots were spatially registered and genotyped based on targeted sequencing of the tumor-specific mutation panels. For each tumor, we performed unsupervised clonal deconvolution of the spot genotypes (CloneFinder) and constructed phylogenetic subclone trees. To quantify the spatial patterns of subclonal mutations, we introduced a dispersion index (DI), ranging from low (DI=0%) to high (DI=100%). To provide a spatio-temporal context for the heterogeneity patterns we developed a family of stochastic mathematical models of DCIS initiation and progression. Thereby, we embedded the evolutionary dynamics of tumor cell expansion in the branching topology of mammary ductal trees. Results. A total of 485 microdissected spots (median per tumor: 23, range: 10-50) were spatially registered and sequenced (median depth: 9,000x). All tumors were multiclonal, containing a median of 5 subclones (range: 2-14). Surprisingly, the correlation between spatial and genomic distances of spots was low. Individual subclones were diffusely dispersed across tumors. DCIS with synchronous DCIS and invasive cancer (mixed DCIS) had a higher mutation dispersion (DI=84.7%) than those without (pure DCIS, DI=70.5%; p=0.03, Wilcoxon rank-sum test). Mixed DCIS also had a higher fraction of spots containing more than one subclone than pure DCIS (median: 30.4% vs 0%, p=0.03). Among 7 mixed DCIS with invasive spots, 5 showed evidence of multiclonal invasion, that is more than one invading subclones were found in both in situ and invasive regions of the tumor. Mathematical modeling analyses show that the observed spatial patterns of genetic heterogeneity are consistent with a single expansion of mixing subclones across the ductal tree architecture. Conclusions. Our findings provide novel insights into the early growth and invasion dynamics of DCIS lesions. Further, we identified potential evolutionary markers for the delineation between indolent (pure) and aggressive (mixed) DCIS. This constitutes an important step towards identification of patients with low-risk DCIS who could be appropriately managed with less aggressive treatment.
Citation Format: Marc D. Ryser, Inmaculada C. Sorribes, Matthew Greenwald, Ethan Wu, Allison Hall, Diego Mallo, Lorraine M. King, Timothy Hardman, Lunden Simpson, Carlo C. Maley, Jeffrey R. Marks, Darryl Shibata, E. Shelley Hwang. Inferring the evolutionary dynamics of ductal carcinoma in situ through multi-regional sequencing and mathematical modeling [abstract]. In: Proceedings of the AACR Virtual Special Conference on Tumor Heterogeneity: From Single Cells to Clinical Impact; 2020 Sep 17-18. Philadelphia (PA): AACR; Cancer Res 2020;80(21 Suppl):Abstract nr PR02.
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Fortunato A, Mallo D, King L, Hardman T, Hall A, Marks JR, Hwang SS, Maley CC. Abstract 2502: Genetic and functional heterogeneity of DCIS as predictors of invasive cancer. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-2502] [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
Genetic diversity both between and within individual tumors constitutes a challenge to personalized cancer medicine. Intra-tumor heterogeneity provides the genetic fuel for natural selection in clonal evolution and cancer progression. Tumors with high levels of genetic heterogeneity are hypothesized to be more likely to demonstrate aggressive behavior and progress to invasion and metastasis.
We analyzed the mutational loads from separate areas of pure DCIS and compared this to genetic heterogeneity in DCIS lesions found adjacent to invasive and metastatic cancer. Two spatially distinct areas of DCIS from each case were macro-dissected and the DNA extracted from FFPE samples. To analyze the data, we developed new bioinformatics methods that allowed analysis of small amounts of degraded DNA extracted from FFPE samples across multiple regions. Our bioinformatics pipeline was optimized on a series of 28 independent technical replicates of the same DNA sample sequenced twice, as training tools to find the best filtering parameters.
Whole exome sequencing was performed on each of the two geospatially separated samples for each case. Minimum coverage for inclusion in this study was 40X over at least 50% of the exome. We used the ratio of private mutations (only in 1 area) to public (found in both areas) mutations as a measure of intra-tumor heterogeneity.
We present an approach to measure clonal heterogeneity using a bulk sequencing strategy applied to geospatially distinct foci of DCIS. We found statistically significant difference between DCIS adjacent to invasive disease and metastatic patients' genetic divergence (t-test, p=0.013). Our findings suggest that genetic and functional heterogeneity may play an important evolutionary role as a driver for invasive progression.
Citation Format: Angelo Fortunato, Diego Mallo, Lorraine King, Timothy Hardman, Allison Hall, Jeffrey R. Marks, Shelley Shelley Hwang, Carlo C. Maley. Genetic and functional heterogeneity of DCIS as predictors of invasive cancer [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 2502.
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Hwang ES, Hyslop T, Hendrix LH, Duong S, Bedrosian I, Price E, Caudle A, Hieken T, Guenther J, Hudis CA, Winer E, Lyss AP, Dickson-Witmer D, Hoefer R, Ollila DW, Hardman T, Marks J, Chen YY, Krings G, Esserman L, Hylton N. Phase II Single-Arm Study of Preoperative Letrozole for Estrogen Receptor-Positive Postmenopausal Ductal Carcinoma In Situ: CALGB 40903 (Alliance). J Clin Oncol 2020; 38:1284-1292. [PMID: 32125937 PMCID: PMC7164489 DOI: 10.1200/jco.19.00510] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [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] [Accepted: 01/10/2020] [Indexed: 01/31/2023] Open
Abstract
PURPOSE Primary endocrine therapy for ductal carcinoma in situ (DCIS) as a potential alternative to surgery has been understudied. This trial explored the feasibility of a short-term course of letrozole and sought to determine whether treatment results in measurable radiographic and biologic changes in estrogen receptor (ER)-positive DCIS. PATIENTS AND METHODS A phase II single-arm multicenter cooperative-group trial was conducted in postmenopausal patients diagnosed with ER-positive DCIS without invasion. Patients were treated with letrozole 2.5 mg per day for 6 months before surgery. Breast magnetic resonance imaging (MRI) was obtained at baseline, 3 months, and 6 months. The primary end point was change in 6-month MRI enhancement volume compared with baseline. RESULTS Overall, 79 patients were enrolled and 70 completed 6 months of letrozole. Of these, 67 patients had MRI data available for each timepoint. Baseline MRI volumes ranged from 0.004 to 26.3 cm3. Median reductions from baseline MRI volume (1.4 cm3) were 0.6 cm3 (61.0%) at 3 months (P < .001) and 0.8 cm3 (71.7%) at 6 months (P < .001). Consistent reductions were seen in median baseline ER H-score (228; median reduction, 15.0; P = .005), progesterone receptor H-score (15; median reduction, 85.0; P < .001), and Ki67 score (12%; median reduction, 6.3%; P = .007). Of the 59 patients who underwent surgery per study protocol, persistent DCIS remained in 50 patients (85%), invasive cancer was detected in six patients (10%), and no residual DCIS or invasive cancer was seen in nine patients (15%). CONCLUSIONS In a cohort of postmenopausal women with ER-positive DCIS, preoperative letrozole resulted in significant imaging and biomarker changes. These findings support future trials of extended endocrine therapy as primary nonoperative treatment of some DCIS.
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MESH Headings
- Antineoplastic Agents/therapeutic use
- Biomarkers, Tumor/metabolism
- Breast Neoplasms/diagnostic imaging
- Breast Neoplasms/drug therapy
- Breast Neoplasms/metabolism
- Breast Neoplasms/surgery
- Carcinoma, Intraductal, Noninfiltrating/diagnostic imaging
- Carcinoma, Intraductal, Noninfiltrating/drug therapy
- Carcinoma, Intraductal, Noninfiltrating/metabolism
- Carcinoma, Intraductal, Noninfiltrating/surgery
- Cohort Studies
- Female
- Humans
- Letrozole/therapeutic use
- Magnetic Resonance Imaging
- Mammography
- Neoadjuvant Therapy
- Postmenopause
- Preoperative Care/methods
- Receptors, Estrogen/metabolism
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Affiliation(s)
| | - Terry Hyslop
- Duke Cancer Institute, Duke University, Durham, NC
- Alliance Statistics and Data Center, Duke University, Durham, NC
| | - Laura H. Hendrix
- Duke Cancer Institute, Duke University, Durham, NC
- Alliance Statistics and Data Center, Duke University, Durham, NC
| | - Stephanie Duong
- Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN
| | | | - Elissa Price
- University of California, San Francisco, San Francisco, CA
| | | | - Tina Hieken
- Alliance Statistics and Data Center, Mayo Clinic, Rochester, MN
| | | | | | - Eric Winer
- Dana-Farber/Partners Cancer Care, Boston, MA
| | | | | | | | | | | | | | - Yunn-Yi Chen
- University of California, San Francisco, San Francisco, CA
| | - Gregor Krings
- University of California, San Francisco, San Francisco, CA
| | - Laura Esserman
- University of California, San Francisco, San Francisco, CA
| | - Nola Hylton
- University of California, San Francisco, San Francisco, CA
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8
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Ryser MD, Mallo D, Hall A, Hardman T, King LM, Tatishchev S, Sorribes IC, Maley CC, Marks JR, Hwang ES, Shibata D. Minimal barriers to invasion during human colorectal tumor growth. Nat Commun 2020; 11:1280. [PMID: 32152322 PMCID: PMC7062901 DOI: 10.1038/s41467-020-14908-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [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: 08/21/2019] [Accepted: 02/10/2020] [Indexed: 12/15/2022] Open
Abstract
Intra-tumoral heterogeneity (ITH) could represent clonal evolution where subclones with greater fitness confer more malignant phenotypes and invasion constitutes an evolutionary bottleneck. Alternatively, ITH could represent branching evolution with invasion of multiple subclones. The two models respectively predict a hierarchy of subclones arranged by phenotype, or multiple subclones with shared phenotypes. We delineate these modes of invasion by merging ancestral, topographic, and phenotypic information from 12 human colorectal tumors (11 carcinomas, 1 adenoma) obtained through saturation microdissection of 325 small tumor regions. The majority of subclones (29/46, 60%) share superficial and invasive phenotypes. Of 11 carcinomas, 9 show evidence of multiclonal invasion, and invasive and metastatic subclones arise early along the ancestral trees. Early multiclonal invasion in the majority of these tumors indicates the expansion of co-evolving subclones with similar malignant potential in absence of late bottlenecks and suggests that barriers to invasion are minimal during colorectal cancer growth.
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Affiliation(s)
- Marc D Ryser
- Department of Population Health Sciences, Duke University Medical Center, Durham, NC, USA.
- Department of Mathematics, Duke University, Durham, NC, USA.
- Duke Cancer Institute, Durham, NC, USA.
| | - Diego Mallo
- Arizona Cancer Evolution Center and School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Allison Hall
- Department of Pathology, Duke University Medical Center, Durham, NC, USA
| | - Timothy Hardman
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | - Lorraine M King
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | - Sergei Tatishchev
- Department of Pathology, University of Southern California Keck School of Medicine, Los Angeles, CA, USA
| | | | - Carlo C Maley
- Arizona Cancer Evolution Center and School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Jeffrey R Marks
- Duke Cancer Institute, Durham, NC, USA
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | - E Shelley Hwang
- Duke Cancer Institute, Durham, NC, USA
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | - Darryl Shibata
- Department of Pathology, University of Southern California Keck School of Medicine, Los Angeles, CA, USA.
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9
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Ding Y, Marks J, King L, Hardman T, Hall A, Mallo D, Rodrigo A, Maley C, Hwang S. Abstract P3-07-06: Evidence for tumor heterogeneity and clonal evolution during invasive progression in breast cancer. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p3-07-06] [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
Purpose: Intratumoral heterogeneity is well recognized to be an important driver of treatment resistance and metastasis. We undertook this N of three study to measure the degree of heterogeneity in three large preinvasive lesions, all with invasive components to determine the relationship between tumor heterogeneity, spatial distribution, clonal evolution, and invasive progression.
Methods: We identified patients A, B, C with extensive DCIS measuring 7.5 cm, 6 cm, and 7 cm associated with 0.3 cm, 3.8cm, and 3.4 cm of an invasive component and 0, 7 and 1 positive lymph node, respectively. We sequenced the tumor sample for Case A from 32 unique blocks with precise geospatial localization; invasive cancer was identified in 3 of 32 blocks. Case B had 26 blocks sequenced with invasive cancer in 13 of 26 blocks. Case C had 23 blocks sequenced with invasive in 11 of 23 blocks. For germline reference, we sequenced DNA from an uninvolved tissue from each case. NGS libraries were made from FFPE derived DNA (20-40ng) for full exome sequencing. Variant calling was performed by GATK HaplotypeCaller, Platypus and Mutect. Identified somatic mutations were annotated with Oncotator and pathway enrichment analysis was performed with Bioconductor. To investigate the clonal evolution and progression history, phylogenetic trees were constructed in R and sub-clonal analysis was performed with Treeomics.
Results: The sequence data was analyzed with Platypus, MuTect and GATK HaplotypeCaller. The somatic mutation sites were concatenated into one sequence for each sample. Both neighbor-joining trees and maximum parsimony trees were built for each case. Phylogenetic analysis and sub-clonal analysis support the multi-clonal invasion model of invasive cells, in which invasive cancer can evolve from multiple clades, either early or late in the evolutionary history, independently. Dense sampling allowed reconstruction of the temporal order of mutations that accumulated in the cell lineage of the invasive cancers. Furthermore, phylogeny and sub-clone spatial analysis revealed that distant regions may be closely genetically related and showed a weak spatial sub-clone clustering pattern, which is consistent with the predictions of Big Bang model. For driver genes, we find that except for SETD2 in Case B, the majority of driver gene mutations are sub-clonal. Somatic mutations on ATP-binding cassette (ABC) transporter pathway was found in all cases.
Conclusions: Extensive sampling and sequencing of tumors yields important insights about tumor heterogeneity and tumor progression of DCIS to invasive cancer. Variable invasive propensity was identified, with foci of invasion were geospatially associated with preinvasive regions of progressively higher mutational load.
Citation Format: Ding Y, Marks J, King L, Hardman T, Hall A, Mallo D, Rodrigo A, Maley C, Hwang S. Evidence for tumor heterogeneity and clonal evolution during invasive progression in breast cancer [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P3-07-06.
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Affiliation(s)
- Y Ding
- Duke University Medical School, Durham, NC; Arizona State University, Tempe, AZ; Australian National University, Research School of Biology, Acton ACT, Australia
| | - J Marks
- Duke University Medical School, Durham, NC; Arizona State University, Tempe, AZ; Australian National University, Research School of Biology, Acton ACT, Australia
| | - L King
- Duke University Medical School, Durham, NC; Arizona State University, Tempe, AZ; Australian National University, Research School of Biology, Acton ACT, Australia
| | - T Hardman
- Duke University Medical School, Durham, NC; Arizona State University, Tempe, AZ; Australian National University, Research School of Biology, Acton ACT, Australia
| | - A Hall
- Duke University Medical School, Durham, NC; Arizona State University, Tempe, AZ; Australian National University, Research School of Biology, Acton ACT, Australia
| | - D Mallo
- Duke University Medical School, Durham, NC; Arizona State University, Tempe, AZ; Australian National University, Research School of Biology, Acton ACT, Australia
| | - A Rodrigo
- Duke University Medical School, Durham, NC; Arizona State University, Tempe, AZ; Australian National University, Research School of Biology, Acton ACT, Australia
| | - C Maley
- Duke University Medical School, Durham, NC; Arizona State University, Tempe, AZ; Australian National University, Research School of Biology, Acton ACT, Australia
| | - S Hwang
- Duke University Medical School, Durham, NC; Arizona State University, Tempe, AZ; Australian National University, Research School of Biology, Acton ACT, Australia
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10
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Abstract
Sarcoidosis is a multisystem inflammatory disease, the aetiology of which has still to be resolved. The proposed mechanism is that a susceptible genotype is exposed to one or more potential antigens. A sustained inflammatory response follows, which ultimately results in pathognomonic granuloma formation. Various clinical phenotypes exist with specific genetic associations influencing disease susceptibility, protection, and clinical progression. Occupational and environmental factors, including microbial elements, may then effect the development of this disease. Sarcoidosis is a heterogeneous disease, showing geographic and racial variation in clinical presentation. It demonstrates a familial tendency and clear genotype associations. Additionally, it appears to cluster within closely associated populations (eg, work colleagues) and appears to be related to selected occupations and environmental exposures. Frequently occult, but occasionally fatal, this disease has a very variable prognosis. It is also unusual in having no specific biomarker. The epidemiology and multiple factors that appear to influence the aetiology of sarcoidosis illustrate why this disease state is frequently described as a clinical enigma.
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Affiliation(s)
- Simon Dubrey
- Department of Cardiology, Hillingdon Hospital, Uxbridge, Middlesex, UK
| | - Shreena Shah
- The Medical Admissions Unit, Queens Hospital, Romford, Essex, UK
| | - Timothy Hardman
- Niche Science & Technology Ltd., Unit 26, Richmond-Upon-Thames, London, UK
| | - Rakesh Sharma
- Department of Cardiology, The Royal Brompton Hospital, London, UK
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11
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Hardman T, Noble MI. Apolipoprotein E gene polymorphism and sodium-lithium countertransport activity. Metabolism 2001; 50:1386-8. [PMID: 11715937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
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12
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Hardman T, Clifford RH, Wierzbicki AS. Erythrocyte Na+/Li+ countertransport and Na+/K+ -2Cl- co-transport in essential hypertension. Clin Sci (Lond) 1999; 97:339-41. [PMID: 10576963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
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13
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Hardman T, Chan NN. Cation transport in Bartter's syndrome. J Hypertens 1998; 16:549-51. [PMID: 9797202 DOI: 10.1097/00004872-199816040-00018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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14
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Hardman T. Dietary fat and risk of coronary heart disease in men. Study gives clear message about diet. BMJ 1996; 313:1258. [PMID: 8939125 PMCID: PMC2352567 DOI: 10.1136/bmj.313.7067.1258a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
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15
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Hardman T, Lant A. Measurement of sodium-lithium countertransport kinetics. Hypertension 1996; 27:314-5; author reply 315-6. [PMID: 8567060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
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16
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Dubrey S, Akhras F, Song GJ, Hardman T, Travill C, Hynd J, Noble MI, Lo SS, Leslie RD. Exercise electrocardiography and aortic Doppler velocimetry in asymptomatic identical twins discordant for type 1 (insulin dependent) diabetes. Heart 1994; 71:341-8. [PMID: 8198884 PMCID: PMC483683 DOI: 10.1136/hrt.71.4.341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
OBJECTIVE To determine the influence of insulin dependent diabetes on the prevalence of myocardial ischaemia and on global left ventricular systolic performance. DESIGN Stress treadmill electrocardiograms and simultaneous Doppler measurement of aortic maximum acceleration were obtained during exercise on symptom free subjects. The electrocardiograms were scored blindly according to the Minnesota code. PARTICIPANTS 39 identical twin pairs (22 male) discordant for insulin dependent diabetes and 39 non-diabetic controls of similar age and sex were examined. The twins and controls had a mean age of 37 (range 25-69) with a mean (SD) duration of diabetes in the diabetic twin of 17 (7) years. Those selected were normotensive and had no renal impairment. RESULTS Systolic blood pressure was significantly higher in the diabetic twins than in their non-diabetic cotwins both at rest (p < 0.05) and at peak exercise (p < 0.01). Electrocardiographic evidence of ischaemia was not correlated within twin pairs and was found in similar numbers of diabetic twins, their non-diabetic cotwins, and control subjects. Abnormal electrocardiograms were found in a similar number of diabetic twins (23%), non-diabetic cotwins (18%), and controls (15%). There was a significant correlation in Doppler measurements of global left ventricular systolic function within the identical twins; no significant difference was found for these Doppler measurements in the diabetic twins, non-diabetic cotwins, or controls. CONCLUSION Exercise characteristics and cardiac function seem to be subject to shared genetic or shared environmental influences or both, whereas electrocardiographic features of ischaemia seem to be environmentally determined. In a selected cohort of diabetic identical twins without evidence of nephropathy there was no evidence that diabetes influenced the prevalence of myocardial ischaemia or global left ventricular systolic function.
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Affiliation(s)
- S Dubrey
- Department of Academic Medicine, Charing Cross and Westminster Medical School, Chelsea and Westminster Hospital, London
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17
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Dubrey SW, Gnanasakthy A, Stein WK, Song JG, Hardman T, Hynd J, Noble MI. Enoximone in chronic stable angina: a double-blind placebo-controlled cross-over trial. J Cardiovasc Pharmacol 1994; 23:532-8. [PMID: 7516001 DOI: 10.1097/00005344-199404000-00003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Enoximone, a phosphodiesterase inhibitor (PDEI), has both positive inotropic and vasodilatory properties. We examined the effect of a single oral dose of enoximone as compared with placebo on myocardial ischaemia and global left ventricular (LV) function using both exercise ECG and Doppler measurements of aortic blood flow, respectively. Twenty patients (16 men, 4 women) with a mean age of 59 years and stable angina were studied. Total exercise duration was significantly longer after enoximone as compared with placebo treatment, with a mean difference of 22.8 s (p = 0.003). Times (mean +/- SD) to onset of angina and development of significant ST-segment decrease were similar after placebo (454 +/- 101 and 352 +/- 155 s, respectively) or enoximone (500 +/- 155 and 413 +/- 192 s, respectively), although both showed trends in favour of enoximone. As compared with placebo, significantly higher heart rate (HR) was measured for enoximone both at rest (75 +/- 18 vs. 90 +/- 22 beats/min, p < 0.01) and on recovery from exercise (81 +/- 18 vs. 89 +/- 19 beats/min, p < 0.05). Enoximone had no significant effect on systolic or diastolic blood pressure (SBP, DBP) or rate-pressure product (RPP) generated at rest or during exercise. Changes in both acceleration and velocity of aortic blood flow during exercise were similar after administration of enoximone or placebo. We showed that a single oral dose of enoximone is well tolerated in patients with ischaemic heart disease, improving both exercise capacity and favourably influencing ST-segment changes with no increase in adverse events or significant haemodynamic disturbances.
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Affiliation(s)
- S W Dubrey
- Charing Cross and Westminster Medical School, Chelsea and Westminster Hospital, London, England
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18
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Rutherford PA, Thomas TH, Hardman T, Lant AF, Wilkinson R. Sodium-lithium countertransport activity is not affected by short-term insulin exposure in vivo or in a physiologic medium in vitro. Metabolism 1993; 42:1087-9. [PMID: 8412758 DOI: 10.1016/0026-0495(93)90263-n] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
This study examined the acute effects of physiologic concentrations of insulin in vitro and in vivo on sodium-lithium countertransport (SLC) kinetics in nondiabetic subjects. SLC was measured at eight different external sodium concentrations including the standard 150 mmol/L, allowing calculation of both maximal velocity (Vmax) and external sodium affinity (Km). Incubation with insulin (50 mU/L) in 110 MgCl2 but not in 150 mmol/L NaCl decreased standard SLC activity. The decrease was accounted for by a reduction in Vmax, whereas Km remained constant. There was no difference in standard SLC activity, Vmax, or Km when endogenous insulin concentrations were altered either by fasting or by a carbohydrate load. Similarly, standard SLC activity, Vmax, or Km were not significantly different before or at the completion of a euglycemic hyperinsulinemic clamp. These findings provide no support for an action of physiologic concentrations of insulin either in vitro or in vivo on the kinetics of the countertransporter measured in vitro in isotonic sodium-containing media.
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Affiliation(s)
- P A Rutherford
- Department of Nephrology, University of Newcastle-upon-Tyne, UK
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19
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Christensen RD, Hardman T, Thornton J, Hill HR. A randomized, double-blind, placebo-controlled investigation of the safety of intravenous immune globulin administration to preterm neonates. J Perinatol 1989; 9:126-30. [PMID: 2738720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Intravenous immune globulin (750 mg/kg), or an equivalent volume of a placebo, was administered during the first week of life, in a randomized trial, to 20 preterm neonates weighing 710 to 1800 g. A variety of laboratory and clinical values were measured serially and analyzed for possible untoward effects. Serum IgG levels were also determined serially. No differences in heart rate, respiratory rate, urine output, blood glucose, serum osmolality, BUN, SGPT, pH, blood gasses, serum electrolytes, total or direct bilirubin, blood leukocyte concentration, absolute neutrophil count, or blood platelet concentration were observed between the intravenous immune globulin (IVIG) and placebo recipients before or following IVIG administration. The red blood cell concentration of IVIG recipients diminished transiently and only slightly (P less than .05). Serum IgG levels increased from 503 +/- 162 mg/dL (X +/- SD) to 1492 +/- 201 mg/dL 15 minutes after the IVIG administration (P less than .001). After 8 days, serum IgG levels were still elevated, at 675 +/- 297 mg/dL. All patients randomized to receive the placebo experienced a diminution in serum IgG over this 8-day period (P less than .01). All 20 patients survived and none in either group had a documented nosocomial infection. This study suggests that IVIG can safely be administered to preterm neonates, resulting in serum IgG levels comparable to those of term infants.
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Affiliation(s)
- R D Christensen
- Department of Pediatrics, University of Utah School of Medicine, Salt Lake City 84132
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