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Miller ZA, Mueller A, Kim T, Jolivert JF, Ma RZ, Muthuswami S, Park A, McMahon DB, Nead KT, Carey RM, Lee RJ. Lidocaine induces apoptosis in head and neck squamous cell carcinoma through activation of bitter taste receptor T2R14. Cell Rep 2023; 42:113437. [PMID: 37995679 PMCID: PMC10842818 DOI: 10.1016/j.celrep.2023.113437] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 09/22/2023] [Accepted: 10/29/2023] [Indexed: 11/25/2023] Open
Abstract
Head and neck squamous cell carcinomas (HNSCCs) have high mortality and significant treatment-related morbidity. It is vital to discover effective, minimally invasive therapies that improve survival and quality of life. Bitter taste receptors (T2Rs) are expressed in HNSCCs, and T2R activation can induce apoptosis. Lidocaine is a local anesthetic that also activates bitter taste receptor 14 (T2R14). Lidocaine has some anti-cancer effects, but the mechanisms are unclear. Here, we find that lidocaine causes intracellular Ca2+ mobilization through activation of T2R14 in HNSCC cells. T2R14 activation with lidocaine depolarizes mitochondria, inhibits proliferation, and induces apoptosis. Concomitant with mitochondrial Ca2+ influx, ROS production causes T2R14-dependent accumulation of poly-ubiquitinated proteins, suggesting that proteasome inhibition contributes to T2R14-induced apoptosis. Lidocaine may have therapeutic potential in HNSCCs as a topical gel or intratumor injection. In addition, we find that HPV-associated (HPV+) HNSCCs are associated with increased TAS2R14 expression. Lidocaine treatment may benefit these patients, warranting future clinical studies.
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Affiliation(s)
- Zoey A Miller
- Department of Otorhinolaryngology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Pharmacology Graduate Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Arielle Mueller
- Department of Otorhinolaryngology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - TaeBeom Kim
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jennifer F Jolivert
- Department of Otorhinolaryngology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Ray Z Ma
- Department of Otorhinolaryngology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Sahil Muthuswami
- Department of Otorhinolaryngology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - April Park
- Department of Otorhinolaryngology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Derek B McMahon
- Department of Otorhinolaryngology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Kevin T Nead
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ryan M Carey
- Department of Otorhinolaryngology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
| | - Robert J Lee
- Department of Otorhinolaryngology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA; Department of Physiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
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Wang A, Xu Y, Yu Y, Nead KT, Kim T, Xu K, Dadaev T, Saunders E, Sheng X, Wan P, Pooler L, Xia LY, Chanock S, Berndt SI, Gapstur SM, Stevens V, Albanes D, Weinstein SJ, Gnanapragasam V, Giles GG, Nguyen-Dumont T, Milne RL, Pomerantz MM, Schmidt JA, Stopsack KH, Mucci LA, Catalona WJ, Hetrick KN, Doheny KF, MacInnis RJ, Southey MC, Eeles RA, Wiklund F, Kote-Jarai Z, de Smith AJ, Conti DV, Huff C, Haiman CA, Darst BF. Clonal hematopoiesis and risk of prostate cancer in large samples of European ancestry men. Hum Mol Genet 2023; 32:489-495. [PMID: 36018819 PMCID: PMC9851740 DOI: 10.1093/hmg/ddac214] [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] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 07/31/2022] [Accepted: 08/22/2022] [Indexed: 01/24/2023] Open
Abstract
Little is known regarding the potential relationship between clonal hematopoiesis (CH) of indeterminate potential (CHIP), which is the expansion of hematopoietic stem cells with somatic mutations, and risk of prostate cancer, the fifth leading cause of cancer death of men worldwide. We evaluated the association of age-related CHIP with overall and aggressive prostate cancer risk in two large whole-exome sequencing studies of 75 047 European ancestry men, including 7663 prostate cancer cases, 2770 of which had aggressive disease, and 3266 men carrying CHIP variants. We found that CHIP, defined by over 50 CHIP genes individually and in aggregate, was not significantly associated with overall (aggregate HR = 0.93, 95% CI = 0.76-1.13, P = 0.46) or aggressive (aggregate OR = 1.14, 95% CI = 0.92-1.41, P = 0.22) prostate cancer risk. CHIP was weakly associated with genetic risk of overall prostate cancer, measured using a polygenic risk score (OR = 1.05 per unit increase, 95% CI = 1.01-1.10, P = 0.01). CHIP was not significantly associated with carrying pathogenic/likely pathogenic/deleterious variants in DNA repair genes, which have previously been found to be associated with aggressive prostate cancer. While findings from this study suggest that CHIP is likely not a risk factor for prostate cancer, it will be important to investigate other types of CH in association with prostate cancer risk.
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Affiliation(s)
- Anqi Wang
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Yili Xu
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Yao Yu
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX 77230, USA
| | - Kevin T Nead
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX 77230, USA
| | - TaeBeom Kim
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX 77230, USA
| | - Keren Xu
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Tokhir Dadaev
- The Institute of Cancer Research, London, SM2 5NG, UK
| | - Ed Saunders
- The Institute of Cancer Research, London, SM2 5NG, UK
| | - Xin Sheng
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Peggy Wan
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Loreall Pooler
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Lucy Y Xia
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Stephen Chanock
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sonja I Berndt
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | | | | | - Demetrius Albanes
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | | | - Vincent Gnanapragasam
- Division of Urology, Department of Surgery, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria 3004, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria 3168, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Victoria 3010, Australia
| | - Tu Nguyen-Dumont
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria 3168, Australia
- Department of Clinical Pathology, The University of Melbourne, Victoria 3010, Australia
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria 3004, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria 3168, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Victoria 3010, Australia
| | | | - Julie A Schmidt
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
- Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University Hospital and Aarhus University, Aarhus N, DK-8200, Denmark
| | | | - Lorelei A Mucci
- Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - William J Catalona
- Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Kurt N Hetrick
- Department of Genetic Medicine, Center for Inherited Disease Research, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Kimberly F Doheny
- Department of Genetic Medicine, Center for Inherited Disease Research, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Robert J MacInnis
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Victoria 3010, Australia
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria 3004, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Victoria 3168, Australia
- Department of Clinical Pathology, The University of Melbourne, Victoria 3010, Australia
| | - Rosalind A Eeles
- National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
- The Royal Marsden NHS Foundation Trust, London, SW3 6JJ, UK
| | | | | | - Adam J de Smith
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - David V Conti
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Chad Huff
- Department of Epidemiology, University of Texas M.D. Anderson Cancer Center, Houston, TX 77230, USA
| | - Christopher A Haiman
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Burcu F Darst
- Department of Population and Public Health Sciences, Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
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Carey RM, Kim T, Cohen NA, Lee RJ, Nead KT. Impact of sweet, umami, and bitter taste receptor (TAS1R and TAS2R) genomic and expression alterations in solid tumors on survival. Sci Rep 2022; 12:8937. [PMID: 35624283 PMCID: PMC9142493 DOI: 10.1038/s41598-022-12788-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [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: 11/17/2021] [Accepted: 05/16/2022] [Indexed: 11/18/2022] Open
Abstract
Originally identified on the tongue for their chemosensory role, the receptors for sweet, umami, and bitter taste are expressed in some cancers where they regulate important cellular processes including apoptosis and proliferation. We examined DNA mutations (n = 5103), structural variation (n = 7545), and expression (n = 6224) of genes encoding sweet or umami receptors (TAS1Rs) and bitter receptors (TAS2Rs) in 45 solid tumors subtypes compared to corresponding normal tissue using The Cancer Genome Atlas and the Genotype Tissue Expression Project databases. Expression of TAS1R and TAS2R genes differed between normal and cancer tissue, and nonsilent mutations occurred in many solid tumor taste receptor genes (~ 1-7%). Expression levels of certain TAS1Rs/TAS2Rs were associated with survival differences in 12 solid tumor subtypes. Increased TAS1R1 expression was associated with improved survival in lung adenocarcinoma (mean survival difference + 1185 days, p = 0.0191). Increased TAS2R14 expression was associated with worse survival in adrenocortical carcinoma (-1757 days, p < 0.001) and esophageal adenocarcinoma (-640 days, p = 0.0041), but improved survival in non-papillary bladder cancer (+ 343 days, p = 0.0436). Certain taste receptor genes may be associated with important oncologic pathways and could serve as biomarkers for disease outcomes.
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Affiliation(s)
- Ryan M Carey
- Department of Otorhinolaryngology - Head and Neck Surgery, Hospital of the University of Pennsylvania, 3400 Spruce Street, 5th floor Ravdin Suite A, Philadelphia, PA, 19104, USA.
| | - TaeBeom Kim
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Noam A Cohen
- Department of Otorhinolaryngology - Head and Neck Surgery, Hospital of the University of Pennsylvania, 3400 Spruce Street, 5th floor Ravdin Suite A, Philadelphia, PA, 19104, USA
- Philadelphia Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Robert J Lee
- Department of Otorhinolaryngology - Head and Neck Surgery, Hospital of the University of Pennsylvania, 3400 Spruce Street, 5th floor Ravdin Suite A, Philadelphia, PA, 19104, USA
- Department of Physiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Kevin T Nead
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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4
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Westin SN, Labrie M, Litton JK, Blucher A, Fang Y, Vellano CP, Marszalek JR, Feng N, Ma X, Creason A, Fellman B, Yuan Y, Lee S, Kim TB, Liu J, Chelariu-Raicu A, Chen TH, Kabil N, Soliman PT, Frumovitz M, Schmeler KM, Jazaeri A, Lu KH, Murthy R, Meyer LA, Sun CC, Sood AK, Coleman RL, Mills GB. Phase Ib Dose Expansion and Translational Analyses of Olaparib in Combination with Capivasertib in Recurrent Endometrial, Triple-Negative Breast, and Ovarian Cancer. Clin Cancer Res 2021; 27:6354-6365. [PMID: 34518313 PMCID: PMC8639651 DOI: 10.1158/1078-0432.ccr-21-1656] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [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: 05/07/2021] [Revised: 07/07/2021] [Accepted: 09/03/2021] [Indexed: 11/16/2022]
Abstract
PURPOSE On the basis of strong preclinical rationale, we sought to confirm recommended phase II dose (RP2D) for olaparib, a PARP inhibitor, combined with the AKT inhibitor capivasertib and assess molecular markers of response and resistance. PATIENTS AND METHODS We performed a safety lead-in followed by expansion in endometrial, triple-negative breast, ovarian, fallopian tube, or peritoneal cancer. Olaparib 300 mg orally twice daily and capivasertib orally twice daily on a 4-day on 3-day off schedule was evaluated. Two dose levels (DL) of capivasertib were planned: 400 mg (DL1) and 320 mg (DL-1). Patients underwent biopsies at baseline and 28 days. RESULTS A total of 38 patients were enrolled. Seven (18%) had germline BRCA1/2 mutations. The first 2 patients on DL1 experienced dose-limiting toxicities (DLT) of diarrhea and vomiting. No DLTs were observed on DL-1 (n = 6); therefore, DL1 was reexplored (n = 6) with no DLTs, confirming DL1 as RP2D. Most common treatment-related grade 3/4 adverse events were anemia (23.7%) and leukopenia (10.5%). Of 32 evaluable subjects, 6 (19%) had partial response (PR); PR rate was 44.4% in endometrial cancer. Seven (22%) additional patients had stable disease greater than 4 months. Tumor analysis demonstrated strong correlations between response and immune activity, cell-cycle alterations, and DNA damage response. Therapy resistance was associated with receptor tyrosine kinase and RAS-MAPK pathway activity, metabolism, and epigenetics. CONCLUSIONS The combination of olaparib and capivasertib is associated to no serious adverse events and demonstrates durable activity in ovarian, endometrial, and breast cancers, with promising responses in endometrial cancer. Importantly, tumor samples acquired pre- and on-therapy can help predict patient benefit.
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Affiliation(s)
- Shannon N Westin
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas.
| | - Marilyne Labrie
- Knight Cancer Institute and Cell, Developmental and Cancer Biology, Oregon Health and Science University, Portland, Oregon
| | - Jennifer K Litton
- Department of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Aurora Blucher
- Knight Cancer Institute and Cell, Developmental and Cancer Biology, Oregon Health and Science University, Portland, Oregon
| | - Yong Fang
- Knight Cancer Institute and Cell, Developmental and Cancer Biology, Oregon Health and Science University, Portland, Oregon
| | | | | | - Ningping Feng
- TRACTION, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - XiaoYan Ma
- TRACTION, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Allison Creason
- Knight Cancer Institute and Cell, Developmental and Cancer Biology, Oregon Health and Science University, Portland, Oregon
| | - Bryan Fellman
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ying Yuan
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sanghoon Lee
- Department of Systems Biology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Tae-Beom Kim
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jinsong Liu
- Department of Pathology and Laboratory Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Anca Chelariu-Raicu
- Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany
| | - Tsun Hsuan Chen
- Department of Symptom Research, University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | - Pamela T Soliman
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Michael Frumovitz
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Katheleen M Schmeler
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Amir Jazaeri
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Karen H Lu
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Rashmi Murthy
- Department of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Larissa A Meyer
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Charlotte C Sun
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Anil K Sood
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | - Gordon B Mills
- Knight Cancer Institute and Cell, Developmental and Cancer Biology, Oregon Health and Science University, Portland, Oregon
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Carey RM, McMahon DB, Miller ZA, Kim T, Rajasekaran K, Gopallawa I, Newman JG, Basu D, Nead KT, White EA, Lee RJ. T2R bitter taste receptors regulate apoptosis and may be associated with survival in head and neck squamous cell carcinoma. Mol Oncol 2021; 16:1474-1492. [PMID: 34717036 PMCID: PMC8978516 DOI: 10.1002/1878-0261.13131] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [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: 06/03/2021] [Revised: 09/16/2021] [Accepted: 10/28/2021] [Indexed: 12/02/2022] Open
Abstract
Better management of head and neck squamous cell carcinomas (HNSCCs) requires a clearer understanding of tumor biology and disease risk. Bitter taste receptors (T2Rs) have been studied in several cancers, including thyroid, salivary, and GI, but their role in HNSCC has not been explored. We found that HNSCC patient samples and cell lines expressed functional T2Rs on both the cell and nuclear membranes. Bitter compounds, including bacterial metabolites, activated T2R‐mediated nuclear Ca2+ responses leading to mitochondrial depolarization, caspase activation, and ultimately apoptosis. Buffering nuclear Ca2+ elevation blocked caspase activation. Furthermore, increased expression of T2Rs in HNSCCs from The Cancer Genome Atlas is associated with improved overall survival. This work suggests that T2Rs are potential biomarkers to predict outcomes and guide treatment selection, may be leveraged as therapeutic targets to stimulate tumor apoptosis, and may mediate tumor‐microbiome crosstalk in HNSCC.
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Affiliation(s)
- Ryan M Carey
- Department of Otorhinolaryngology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Derek B McMahon
- Department of Otorhinolaryngology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Zoey A Miller
- Department of Otorhinolaryngology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - TaeBeom Kim
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Karthik Rajasekaran
- Department of Otorhinolaryngology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Indiwari Gopallawa
- Department of Otorhinolaryngology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Jason G Newman
- Department of Otorhinolaryngology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Devraj Basu
- Department of Otorhinolaryngology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Kevin T Nead
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.,Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Elizabeth A White
- Department of Otorhinolaryngology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Robert J Lee
- Department of Otorhinolaryngology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.,Department of Physiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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Akcakanat A, Zheng X, Cruz Pico CX, Kim TB, Chen K, Korkut A, Sahin A, Holla V, Tarco E, Singh G, Damodaran S, Mills GB, Gonzalez-Angulo AM, Meric-Bernstam F. Genomic, Transcriptomic, and Proteomic Profiling of Metastatic Breast Cancer. Clin Cancer Res 2021; 27:3243-3252. [PMID: 33782032 PMCID: PMC8172429 DOI: 10.1158/1078-0432.ccr-20-4048] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [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: 10/15/2020] [Revised: 12/10/2020] [Accepted: 03/26/2021] [Indexed: 12/28/2022]
Abstract
PURPOSE Metastatic breast cancer (MBC) is not curable and there is a growing interest in personalized therapy options. Here we report molecular profiling of MBC focusing on molecular evolution in actionable alterations. EXPERIMENTAL DESIGN Sixty-two patients with MBC were included. An analysis of DNA, RNA, and functional proteomics was done, and matched primary and metastatic tumors were compared when feasible. RESULTS Targeted exome sequencing of 41 tumors identified common alterations in TP53 (21; 51%) and PIK3CA (20; 49%), as well as alterations in several emerging biomarkers such as NF1 mutations/deletions (6; 15%), PTEN mutations (4; 10%), and ARID1A mutations/deletions (6; 15%). Among 27 hormone receptor-positive patients, we identified MDM2 amplifications (3; 11%), FGFR1 amplifications (5; 19%), ATM mutations (2; 7%), and ESR1 mutations (4; 15%). In 10 patients with matched primary and metastatic tumors that underwent targeted exome sequencing, discordances in actionable alterations were common, including NF1 loss in 3 patients, loss of PIK3CA mutation in 1 patient, and acquired ESR1 mutations in 3 patients. RNA sequencing in matched samples confirmed loss of NF1 expression with genomic NF1 loss. Among 33 patients with matched primary and metastatic samples that underwent RNA profiling, 14 actionable genes were differentially expressed, including antibody-drug conjugate targets LIV-1 and B7-H3. CONCLUSIONS Molecular profiling in MBC reveals multiple common as well as less frequent but potentially actionable alterations. Genomic and transcriptional profiling demonstrates intertumoral heterogeneity and potential evolution of actionable targets with tumor progression. Further work is needed to optimize testing and integrated analysis for treatment selection.
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Affiliation(s)
- Argun Akcakanat
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Xiaofeng Zheng
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Christian X Cruz Pico
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Tae-Beom Kim
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Anil Korkut
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Aysegul Sahin
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Vijaykumar Holla
- Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Emily Tarco
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Gopal Singh
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Senthil Damodaran
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Gordon B Mills
- Department of Cell, Developmental and Cancer Biology, Department of Medicine, Oregon Health and Science University, Portland, Oregon
- Precision Oncology, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon
| | - Ana Maria Gonzalez-Angulo
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Funda Meric-Bernstam
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
- Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
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7
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Ryu KH, Baek HJ, Skare S, Moon JI, Choi BH, Park SE, Ha JY, Kim TB, Hwang MJ, Sprenger T. Clinical Experience of 1-Minute Brain MRI Using a Multicontrast EPI Sequence in a Different Scan Environment. AJNR Am J Neuroradiol 2020; 41:424-429. [PMID: 32029473 DOI: 10.3174/ajnr.a6427] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 01/02/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND PURPOSE The long scan time of MR imaging is a major drawback limiting its clinical use in neuroimaging; therefore, we aimed to investigate the clinical feasibility of a 1-minute full-brain MR imaging using a multicontrast EPI sequence on a different MR imaging scanner than the ones previously reported. MATERIALS AND METHODS We retrospectively reviewed the records of 146 patients who underwent a multicontrast EPI sequence, including T1-FLAIR, T2-FLAIR, T2WI, DWI, and T2*WI sequences. Two attending neuroradiologists assessed the image quality of each sequence to compare the multicontrast EPI sequence with routine MR imaging protocols. We used the Wilcoxon signed rank test and McNemar test to compare the 2 MR imaging protocols. RESULTS The multicontrast EPI sequence generally showed sufficient image quality of >2 points using a 4-point assessment scale. Regarding image quality and susceptibility artifacts, there was no significant difference between the multicontrast EPI sequence DWI and routine DWI (P > .05), attesting to noninferiority of the multicontrast EPI, whereas there were significant differences in the other 4 sequences between the 2 MR imaging protocols. CONCLUSIONS The multicontrast EPI sequence showed sufficient image quality for clinical use with a shorter scan time; however, it was limited by inferior image quality and frequent susceptibility artifacts compared with routine brain MR imaging. Therefore, the multicontrast EPI sequence cannot completely replace the routine MR imaging protocol at present; however, it may be a feasible option in specific clinical situations such as screening, time-critical diseases or for use with patients prone to motion.
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Affiliation(s)
- K H Ryu
- From the Department of Radiology (K.H.R., H.J.B., J.I.M., B.H.C., S.E.P., J.Y.H., T.B.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea
| | - H J Baek
- From the Department of Radiology (K.H.R., H.J.B., J.I.M., B.H.C., S.E.P., J.Y.H., T.B.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea .,Department of Radiology (H.J.B.), Institute of Health Sciences, Gyeongsang National University School of Medicine, Jinju, Republic of Korea
| | - S Skare
- Department of Clinical Neuroscience (S.S., T.S.), Karolinska Institute, Stockholm, Sweden.,Department of Neuroradiology (S.S.), Karolinska University Hospital, Stockholm, Sweden
| | - J I Moon
- From the Department of Radiology (K.H.R., H.J.B., J.I.M., B.H.C., S.E.P., J.Y.H., T.B.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea
| | - B H Choi
- From the Department of Radiology (K.H.R., H.J.B., J.I.M., B.H.C., S.E.P., J.Y.H., T.B.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea
| | - S E Park
- From the Department of Radiology (K.H.R., H.J.B., J.I.M., B.H.C., S.E.P., J.Y.H., T.B.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea
| | - J Y Ha
- From the Department of Radiology (K.H.R., H.J.B., J.I.M., B.H.C., S.E.P., J.Y.H., T.B.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea
| | - T B Kim
- From the Department of Radiology (K.H.R., H.J.B., J.I.M., B.H.C., S.E.P., J.Y.H., T.B.K.), Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea
| | - M J Hwang
- MR Applications and Workflow, GE Healthcare (M.J.H.), Seoul, Republic of Korea
| | - T Sprenger
- Department of Clinical Neuroscience (S.S., T.S.), Karolinska Institute, Stockholm, Sweden.,MR Applied Science Laboratory Europe (T.S.), GE Healthcare Stockholm, Sweden
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8
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Veeranki OL, Tong Z, Mejia A, Verma A, Katkhuda R, Bassett R, Kim TB, Wang J, Lang W, Mino B, Solis L, Kingsley C, Norton W, Tailor R, Wu JY, Krishnan S, Lin SH, Blum M, Hofstetter W, Ajani J, Kopetz S, Maru D. A novel patient-derived orthotopic xenograft model of esophageal adenocarcinoma provides a platform for translational discoveries. Dis Model Mech 2019; 12:dmm.041004. [PMID: 31732509 PMCID: PMC6918774 DOI: 10.1242/dmm.041004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 11/08/2019] [Indexed: 12/17/2022] Open
Abstract
Mouse models of gastroesophageal junction (GEJ) cancer strive to recapitulate the intratumoral heterogeneity and cellular crosstalk within patient tumors to improve clinical translation. GEJ cancers remain a therapeutic challenge due to the lack of a reliable mouse model for preclinical drug testing. In this study, a novel patient-derived orthotopic xenograft (PDOX) was established from GEJ cancer via transabdominal surgical implantation. Patient tumor was compared to subcutaneously implanted patient-derived tumor xenograft (PDX) and PDOX by Hematoxylin and Eosin staining, immunohistochemistry and next-generation sequencing. Treatment efficacy studies of radiotherapy were performed. We observed that mechanical abrasion of mouse GEJ prior to surgical implantation of a patient-derived tumor in situ promotes tumor engraftment (100%, n=6). Complete PDOX engraftment was observed with rapid intra- and extraluminal tumor growth, as evidenced by magnetic resonance imaging. PDOXs contain fibroblasts, tumor-associated macrophages, immune and inflammatory cells, vascular and lymphatic vessels. Stromal hallmarks of aggressive GEJ cancers are recapitulated in a GEJ PDOX mouse model. PDOXs demonstrate tumor invasion into vasculature and perineural space. Next-generation sequencing revealed loss of heterozygosity with very high allelic frequency in NOTCH3, TGFB1, EZH2 and KMT2C in the patient tumor, the subcutaneous PDX and the PDOX. Immunohistochemical analysis of Her2/neu (also known as ERBB2), p53 (also known as TP53) and p16 (also known as CDKN2A) in PDX and PDOX revealed maintenance of expression of proteins found in patient tumors, but membranous EGFR overexpression in patient tumor cells was absent in both xenografts. Targeted radiotherapy in this model suggested a decrease in size by 61% according to Response Evaluation Criteria in Solid Tumors (RECIST), indicating a partial response to radiation therapy. Our GEJ PDOX model exhibits remarkable fidelity to human disease and captures the precise tissue microenvironment present within the local GEJ architecture, providing a novel tool for translating findings from studies on human GEJ cancer. This model can be applied to study metastatic progression and to develop novel therapeutic approaches for the treatment of GEJ cancer. This article has an associated First Person interview with the first author of the paper. Editor's choice: The patient-derived orthotopic xenograft model of gastroesophageal adenocarcinoma maintains the morphological and molecular characteristics despite being highly heterogeneous, emphasizing its use as a powerful investigational platform to evaluate new therapies.
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Affiliation(s)
- Omkara Lakshmi Veeranki
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Zhimin Tong
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alicia Mejia
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Anuj Verma
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Riham Katkhuda
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Roland Bassett
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Tae-Beom Kim
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Wenhua Lang
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Barbara Mino
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Luisa Solis
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Charles Kingsley
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - William Norton
- Department of Veterinary Medicine and Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ramesh Tailor
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ji Yuan Wu
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sunil Krishnan
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Steven H Lin
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Mariela Blum
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Wayne Hofstetter
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jaffer Ajani
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Scott Kopetz
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Dipen Maru
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA .,Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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9
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Labrie M, Kim TB, Ju Z, Lee S, Lu Y, Chen K, Mills GB, Westin SN. Abstract NT-098: WINDOW OF OPPORTUNITY TRIAL: ASSESSING THE ADAPTIVE RESPONSE OF HGSOC TO PARPI FOR INFORMED COMBINATION THERAPIES. Clin Cancer Res 2019. [DOI: 10.1158/1557-3265.ovcasymp18-nt-098] [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
At least 50% of high grade serous ovarian cancer (HGSOC) patients display defects in the components of the homologous recombination (HR) DNA repair pathway, which is the only high fidelity DNA repair mechanism for double strand breaks (DSB). This provides an exciting opportunity for targeted therapies using drugs such as poly (ADP-ribose) polymerase inhibitors (PARPi). PARP is an important component of the base excision repair and alternative non-homologous recombination DNA repair pathways. Therefore, inhibition of PARP enzymatic activity induces DNA damage and leads to synthetic lethality in HR defective tumors. Several clinical trials with PARPi have shown an improvement of progression-free survival in patients but have only shown a limited effect on overall survival. As for many other targeted therapies, the cancer cells rapidly adapt to the stress induced by the drug and develop resistance. Resistance can either be genomic or adaptive. In adaptive resistance the cellular networks are rewired in the absence of genomic changes to mediate resistance. To overcome this resistance, several groups, including ours, suggested the use of PARPi-based combination therapies. Several clinical trials are currently testing PARPi combinations with drugs targeting the immune checkpoint, the DNA damage checkpoint, the PI3K pathway, and the MAPK pathway. Although several of these combinations are promising, the main challenge remains in finding the right drug combination for the right patient since each tumor has the potential to adapt differently to PARPi. We thus implemented a window of opportunity trial to determine whether it is possible to identify different adaptive responses to PARPi by comparing pre and post-treatment tumor samples from multiple sites in the peritoneal cavity. We used reversed phase protein array (RPPA) analysis to measure the expression of over 300 proteins in each tumor samples and compared pathways activity in pre and post treatment samples from individual patients. We also compared the adaptive response detected in cancer patients with the one observed in cell lines. Base on pathway scores, we developed an approach to predict which combination with PARPi would be most likely to benefit a specific patient. Overall, our results indicate that the adaptive response to PARPi treatment can be detected early during treatment and that individual patients utilize different pathways to adapt to the stress induced by the drug. This study reinforces the need and opportunity for informed combination therapies to improve outcomes in this devastating disease.
Citation Format: Marilyne Labrie, Tae-Beom Kim, Zhenlin Ju, Sanghoon Lee, Yiling Lu, Ken Chen, Gordon B. Mills and Shannon N. Westin. WINDOW OF OPPORTUNITY TRIAL: ASSESSING THE ADAPTIVE RESPONSE OF HGSOC TO PARPI FOR INFORMED COMBINATION THERAPIES [abstract]. In: Proceedings of the 12th Biennial Ovarian Cancer Research Symposium; Sep 13-15, 2018; Seattle, WA. Philadelphia (PA): AACR; Clin Cancer Res 2019;25(22 Suppl):Abstract nr NT-098.
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Affiliation(s)
| | | | - Zhenlin Ju
- 2UT MD Anderson Cancer Center, Houston, TX
| | | | - Yiling Lu
- 2UT MD Anderson Cancer Center, Houston, TX
| | - Ken Chen
- 2UT MD Anderson Cancer Center, Houston, TX
| | - Gordon B. Mills
- 1OHSU, Portland, OR,
- 2UT MD Anderson Cancer Center, Houston, TX
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10
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Ruiz-Cordero R, Rao P, Li L, Qi Y, Atherton D, Peng B, Singh RR, Kim TB, Kawakami F, Routbort MJ, Alouch N, Chow CWB, Tang X, Lu W, Brimo F, Matin SF, Wood CG, Tannir NM, Wistuba II, Chen K, Wang J, Medeiros LJ, Karam JA, Tamboli P, Sircar K. Hybrid oncocytic/chromophobe renal tumors are molecularly distinct from oncocytoma and chromophobe renal cell carcinoma. Mod Pathol 2019; 32:1698-1707. [PMID: 31231128 DOI: 10.1038/s41379-019-0304-y] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 04/01/2019] [Accepted: 05/23/2019] [Indexed: 12/22/2022]
Abstract
Hybrid oncocytic/chromophobe tumor (HOCT) of the kidney represents a poorly understood clinicopathologic entity with pathologic features that overlap between benign renal oncocytoma (RO) and malignant chromophobe renal cell carcinoma (ChRCC). Consequently, characterization of HOCT and its separation from the foregoing entities are clinically important. The aim of this study was to describe the pathologic and molecular features of HOCT and to compare them with those of RO and ChRCC. We retrospectively identified a cohort of 73 cases with renal oncocytic tumors (19 RO, 27 HOCT, and 27 ChRCC) for whom clinical follow-up data were available by 2 tertiary care hospitals. All cases were sporadic except for 2 HOCTs that were associated with Birt-Hogg-Dubé syndrome. Lesional tissues were retrieved for molecular analysis. We performed targeted gene sequencing of all exons of 261 cancer related genes on a subset of HOCT samples (n = 16). Gene expression profiling of a customized codeset was conducted on 19 RO, 24 HOCT, and 27 ChRCC samples. Clinicopathologic characteristics as well as DNA copy number alterations, mutational and transcriptional features of HOCT derived from sequencing and expression profiling data are described and compared to those in RO and ChRCC. HOCTs were more frequently multifocal and did not exhibit mutations in genes that are recurrently mutated in RO or ChRCC but showed copy number alterations primarily involving losses in chromosomes 1 and X/Y. The mRNA transcript data show that HOCT can be separated from RO and ChRCC. Hence, HOCT appears to represent a distinct renal tumor entity with genomic features that are intermediate between those of RO and ChRCC.
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Affiliation(s)
- Roberto Ruiz-Cordero
- Department of Pathology, The University of California San Francisco, San Francisco, CA, 94115, USA
| | - Priya Rao
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Lerong Li
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Yuan Qi
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Daniel Atherton
- Department of Pathology, The University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Bo Peng
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Rajesh R Singh
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Tae-Beom Kim
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Fumi Kawakami
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Mark J Routbort
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Nail Alouch
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Chi-Wan B Chow
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Ximing Tang
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Wei Lu
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Fadi Brimo
- Department of Pathology, McGill University, Montreal, QC, Canada
| | - Surena F Matin
- Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Christopher G Wood
- Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Nizar M Tannir
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - L Jeffrey Medeiros
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Jose A Karam
- Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Pheroze Tamboli
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Kanishka Sircar
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. .,Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
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11
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Klebanov N, Lin WM, Artomov M, Shaughnessy M, Njauw CN, Bloom R, Eterovic AK, Chen K, Kim TB, Tsao SS, Tsao H. Use of Targeted Next-Generation Sequencing to Identify Activating Hot Spot Mutations in Cherry Angiomas. JAMA Dermatol 2019; 155:211-215. [PMID: 30601876 DOI: 10.1001/jamadermatol.2018.4231] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Importance Shared gene variants in benign-malignant process pairs, such as BRAF mutations common to benign nevi and melanoma, are associated with differing phenotypic manifestations. Study of gene mechanisms underlying cherry angioma may uncover previously unknown disease relationships. Objective To identify somatic mutations present in cherry angioma specimens by using targeted next-generation sequencing. Design, Setting, and Participants In a single-center case series, 10 formalin-fixed, paraffin-embedded cherry angioma specimens from biopsies performed at Massachusetts General Hospital in Boston from July 10, 2016, to January 23, 2018, were obtained and underwent sequencing across a panel of 323 genes most relevant to cancer. Somatic mutations were curated by excluding variants that were presumed to be germline or of low mapping quality. Main Outcomes and Measures Identification of somatic mutations associated with cherry angiomas. Results In 10 cherry angioma tissue samples originating from 6 female and 4 male patients with a median (range) age of 54 (26-79) years, 5 samples (50%) revealed somatic missense mutations in GNAQ (Q209H, Q209R, and R183G) and GNA11 (Q209H). Individually, these mutational hot spots are known to be involved in entities that include congenital and anastomosing hemangiomas, hepatic small-vessel neoplasms (Q209), port-wine stains, and Sturge-Weber syndrome (R183). Both hot spots are associated with blue nevi, melanoma associated with blue nevus, and uveal melanoma. Conclusions and Relevance In this case series study, the high prevalence of 5 known genetic drivers within the benign cherry angioma entity appears to support the context-dependent role of gene alterations in both benign and malignant proliferations from various cellular origins.
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Affiliation(s)
- Nikolai Klebanov
- Medical student, Wellman Center for Photomedicine at Massachusetts General Hospital, Harvard Medical School, Boston
| | - William M Lin
- Department of Dermatology, Massachusetts General Hospital, Boston
| | - Mykyta Artomov
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston
| | - Michael Shaughnessy
- Medical student, Wellman Center for Photomedicine at Massachusetts General Hospital, Harvard Medical School, Boston
| | - Ching-Ni Njauw
- Wellman Center for Photomedicine at Massachusetts General Hospital, Harvard Medical School, Boston
| | - Romi Bloom
- Department of Dermatology, Massachusetts General Hospital, Boston
| | - Agda Karina Eterovic
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston
| | - Tae-Beom Kim
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston
| | - Sandy S Tsao
- Department of Dermatology, Massachusetts General Hospital, Boston
| | - Hensin Tsao
- Department of Dermatology, Massachusetts General Hospital, Boston.,Wellman Center for Photomedicine at Massachusetts General Hospital, Harvard Medical School, Boston
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12
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Labrie M, Ju Z, Litton JK, Kim TB, Lee S, Chen K, Soliman PT, Frumovitz M, Meyer LA, Moulder S, Jazaeri AA, Lu KH, Sood AK, Coleman RL, Mills GB, Westin SN. Abstract 2070: Exploration of markers of synergistic lethality of PARP and PI3K-Akt-mTOR inhibitors in women's cancers. Cancer Res 2019. [DOI: 10.1158/1538-7445.am2019-2070] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [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 objective was to identify molecular mechanisms and protein networks involved in synthetic lethality as well as mechanisms of adaptive changes to the combination of olaparib (O) combined with inhibitors of the PI3K-AKT axis.
Methods: 110 patients with recurrent ovarian, endometrial, and triple negative breast cancer were treated with a combination of O and vistusertib (V) or capivasertib (C) (mTORC1/2 and AKT inhibitors, respectively). We have previously reported durable clinical efficacy of these combinations, regardless of BRCA status. Tumor samples were collected pre-treatment and 30 days post-treatment and reverse-phase protein array (RPPA) was performed. Baseline expression was assessed and change in expression was calculated. Bioinformatics and statistical methods were developed to assess activity of signaling pathways. Pathway scores were determined based on the expression of sets of proteins known to be involved in a specific pathway, including PI3K, RAS/RAF, and DNA damage repair. Association between protein expression and treatment efficacy was determined.
Results: We analyzed a total of 55 paired samples from patients treated with O/V (n=25) and O/C (n=30). These included 20 endometrial (37% PR, 31.5% SD, 31.5% PD), 21 ovarian (10% PR, 55% SD, 35% PD) and 14 triple negative breast (15% PR, 23% SD, 62% PD) tumors. Response to O/V was associated with low pre-treatment mTOR pathway activity and led to altered immune activity based on decreased CD4 and PD1 expression. Resistance to O/V was associated with high pre-treatment cell proliferation (high CCNB1, CDK1 and PLK1 protein expression). In contrast, response to O/C was associated with adaptive responses indicated by decreased mTOR activity and induction of the DNA damage checkpoint (high phospho-CHK1, -WEE1 and -CDC2). Resistance was associated with high pre-treatment RTK activity levels (high phospho-HER3, -EGFR, -IGFR, -MET) and AKT-independent activation of mTOR in the on-treatment samples.
Conclusion: Analysis of pre- and on-treatment samples from responders and non-responders to PARP and PI3K pathway combination therapy identified biomarkers of patients likely to benefit from therapy and helps to understand molecular mechanisms involved in response and resistance to these drug combinations.
Citation Format: Marilyne Labrie, Zhenlin Ju, Jennifer K. Litton, Tae-Beom Kim, Sanghoon Lee, Ken Chen, Pamela T. Soliman, Michael Frumovitz, Larissa A. Meyer, Stacy Moulder, Amir A. Jazaeri, Karen H. Lu, Anil K. Sood, Robert L. Coleman, Gordon B. Mills, Shannon N. Westin. Exploration of markers of synergistic lethality of PARP and PI3K-Akt-mTOR inhibitors in women's cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 2070.
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Affiliation(s)
| | - Zhenlin Ju
- 2The University of Texas, MD Anderson Cancer Center, TX
| | | | - Tae-Beom Kim
- 2The University of Texas, MD Anderson Cancer Center, TX
| | - Sanghoon Lee
- 2The University of Texas, MD Anderson Cancer Center, TX
| | - Ken Chen
- 2The University of Texas, MD Anderson Cancer Center, TX
| | | | | | | | - Stacy Moulder
- 2The University of Texas, MD Anderson Cancer Center, TX
| | | | - Karen H. Lu
- 2The University of Texas, MD Anderson Cancer Center, TX
| | - Anil K. Sood
- 2The University of Texas, MD Anderson Cancer Center, TX
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13
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Fang Y, McGrail DJ, Sun C, Labrie M, Chen X, Zhang D, Ju Z, Vellano CP, Lu Y, Li Y, Jeong KJ, Ding Z, Liang J, Wang SW, Dai H, Lee S, Sahni N, Mercado-Uribe I, Kim TB, Chen K, Lin SY, Peng G, Westin SN, Liu J, O'Connor MJ, Yap TA, Mills GB. Sequential Therapy with PARP and WEE1 Inhibitors Minimizes Toxicity while Maintaining Efficacy. Cancer Cell 2019; 35:851-867.e7. [PMID: 31185210 PMCID: PMC6642675 DOI: 10.1016/j.ccell.2019.05.001] [Citation(s) in RCA: 136] [Impact Index Per Article: 27.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 01/27/2019] [Accepted: 05/03/2019] [Indexed: 12/30/2022]
Abstract
We demonstrate that concurrent administration of poly(ADP-ribose) polymerase (PARP) and WEE1 inhibitors is effective in inhibiting tumor growth but poorly tolerated. Concurrent treatment with PARP and WEE1 inhibitors induces replication stress, DNA damage, and abrogates the G2 DNA damage checkpoint in both normal and malignant cells. Following cessation of monotherapy with PARP or WEE1 inhibitors, effects of these inhibitors persist suggesting that sequential administration of PARP and WEE1 inhibitors could maintain efficacy while ameliorating toxicity. Strikingly, while sequential administration mirrored concurrent therapy in cancer cells that have high basal replication stress, low basal replication stress in normal cells protected them from DNA damage and toxicity, thus improving tolerability while preserving efficacy in ovarian cancer xenograft and patient-derived xenograft models.
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Affiliation(s)
- Yong Fang
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Cell, Development and Cancer Biology, Oregon Health and Sciences University, Portland, OR 97201, USA; Knight Cancer Institute, Portland, OR 97201, USA; Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Daniel J McGrail
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Chaoyang Sun
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Marilyne Labrie
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Cell, Development and Cancer Biology, Oregon Health and Sciences University, Portland, OR 97201, USA; Knight Cancer Institute, Portland, OR 97201, USA
| | - Xiaohua Chen
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Dong Zhang
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Cell, Development and Cancer Biology, Oregon Health and Sciences University, Portland, OR 97201, USA; Knight Cancer Institute, Portland, OR 97201, USA
| | - Zhenlin Ju
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Christopher P Vellano
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Yiling Lu
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Yongsheng Li
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Kang Jin Jeong
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Cell, Development and Cancer Biology, Oregon Health and Sciences University, Portland, OR 97201, USA; Knight Cancer Institute, Portland, OR 97201, USA
| | - Zhiyong Ding
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jiyong Liang
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Steven W Wang
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Hui Dai
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sanghoon Lee
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Nidhi Sahni
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, 1808 Park Road 1C, Smithville, TX 78957, USA
| | - Imelda Mercado-Uribe
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Tae-Beom Kim
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Shiaw-Yih Lin
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Guang Peng
- Department of Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Shannon N Westin
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jinsong Liu
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Mark J O'Connor
- Oncology, Innovative Medicines and Early Clinical Development, AstraZeneca, Cambridge CB4 0WG, UK
| | - Timothy A Yap
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Gordon B Mills
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Cell, Development and Cancer Biology, Oregon Health and Sciences University, Portland, OR 97201, USA; Knight Cancer Institute, Portland, OR 97201, USA
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14
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Labrie M, Kim TB, Ju Z, Lee S, Zhao W, Fang Y, Lu Y, Chen K, Ramirez P, Frumovitz M, Meyer L, Fleming ND, Sood AK, Coleman RL, Mills GB, Westin SN. Adaptive responses in a PARP inhibitor window of opportunity trial illustrate limited functional interlesional heterogeneity and potential combination therapy options. Oncotarget 2019; 10:3533-3546. [PMID: 31191824 PMCID: PMC6544405 DOI: 10.18632/oncotarget.26947] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [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: 03/12/2019] [Accepted: 05/02/2019] [Indexed: 12/17/2022] Open
Abstract
Poly (ADP-ribose) polymerase inhibitor (PARPi)-based combination therapies are demonstrating efficacy in patients, however, identifying the right combination for the right patient remains a critical challenge. Thus, it is urgent to develop approaches able to identify patients likely to benefit from specific combination therapies. Several groups, including ours, have demonstrated that targeting adaptive responses induced by PARPi increases depth and duration of response. In this study, we instituted a talazoparib (PARPi) monotherapy window of opportunity trial to identify informative adaptive responses in high grade serous ovarian cancer patients (HGSOC). Patients were treated for 7 to 14 days with PARPi monotherapy prior to surgery with tissue samples from multiple sites being collected pre- and post-treatment in each patient. Analysis of these samples demonstrated that individual patients displayed different adaptive responses with limited interlesional heterogeneity. Ability of combination therapies designed to interdict adaptive responses to decrease viability was validated using model systems. Thus, assessment of adaptive responses to PARPi provides an opportunity for patient-specific selection of combination therapies designed to interdict patient-specific adaptive responses to maximize patient benefit.
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Affiliation(s)
- Marilyne Labrie
- Knight Cancer Institute and Cell, Developmental and Cancer Biology, Oregon Health and Science University, Portland, OR, USA
| | - Tae-Beom Kim
- Department of Bioinformatics and Computational Biology, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Zhenlin Ju
- Department of Bioinformatics and Computational Biology, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Sanghoon Lee
- Department of Systems Biology, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Wei Zhao
- Department of Systems Biology, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Yong Fang
- Knight Cancer Institute and Cell, Developmental and Cancer Biology, Oregon Health and Science University, Portland, OR, USA
| | - Yiling Lu
- Department of Systems Biology, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Pedro Ramirez
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Michael Frumovitz
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Larissa Meyer
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Nicole D Fleming
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Anil K Sood
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Robert L Coleman
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Gordon B Mills
- Knight Cancer Institute and Cell, Developmental and Cancer Biology, Oregon Health and Science University, Portland, OR, USA.,Department of Systems Biology, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Shannon N Westin
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas, MD Anderson Cancer Center, Houston, TX, USA
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15
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Autefage H, Allen F, Tang HM, Kallepitis C, Gentleman E, Reznikov N, Nitiputri K, Nommeots-Nomm A, O'Donnell MD, Lange C, Seidt BM, Kim TB, Solanki AK, Tallia F, Young G, Lee PD, Pierce BF, Wagermaier W, Fratzl P, Goodship A, Jones JR, Blunn G, Stevens MM. Multiscale analyses reveal native-like lamellar bone repair and near perfect bone-contact with porous strontium-loaded bioactive glass. Biomaterials 2019; 209:152-162. [PMID: 31048149 PMCID: PMC6527862 DOI: 10.1016/j.biomaterials.2019.03.035] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [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: 10/29/2018] [Revised: 03/08/2019] [Accepted: 03/22/2019] [Indexed: 02/07/2023]
Abstract
The efficient healing of critical-sized bone defects using synthetic biomaterial-based strategies is promising but remains challenging as it requires the development of biomaterials that combine a 3D porous architecture and a robust biological activity. Bioactive glasses (BGs) are attractive candidates as they stimulate a biological response that favors osteogenesis and vascularization, but amorphous 3D porous BGs are difficult to produce because conventional compositions crystallize during processing. Here, we rationally designed a porous, strontium-releasing, bioactive glass-based scaffold (pSrBG) whose composition was tailored to deliver strontium and whose properties were optimized to retain an amorphous phase, induce tissue infiltration and encourage bone formation. The hypothesis was that it would allow the repair of a critical-sized defect in an ovine model with newly-formed bone exhibiting physiological matrix composition and structural architecture. Histological and histomorphometric analyses combined with indentation testing showed pSrBG encouraged near perfect bone-to-material contact and the formation of well-organized lamellar bone. Analysis of bone quality by a combination of Raman spectral imaging, small-angle X-ray scattering, X-ray fluorescence and focused ion beam-scanning electron microscopy demonstrated that the repaired tissue was akin to that of normal, healthy bone, and incorporated small amounts of strontium in the newly formed bone mineral. These data show the potential of pSrBG to induce an efficient repair of critical-sized bone defects and establish the importance of thorough multi-scale characterization in assessing biomaterial outcomes in large animal models.
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Affiliation(s)
- H Autefage
- Department of Materials, Imperial College London, London, SW7 2AZ, United Kingdom; Department of Bioengineering, Imperial College London, London, SW7 2AZ, United Kingdom; Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, United Kingdom
| | - F Allen
- Institute of Orthopaedics and Musculoskeletal Science, University College London, London, WC1E 6BT, United Kingdom
| | - H M Tang
- Department of Materials, Imperial College London, London, SW7 2AZ, United Kingdom
| | - C Kallepitis
- Department of Materials, Imperial College London, London, SW7 2AZ, United Kingdom; Department of Bioengineering, Imperial College London, London, SW7 2AZ, United Kingdom; Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, United Kingdom
| | - E Gentleman
- Centre for Craniofacial and Regenerative Biology, King's College London, London, SE1 9RT, United Kingdom
| | - N Reznikov
- Department of Materials, Imperial College London, London, SW7 2AZ, United Kingdom; Department of Bioengineering, Imperial College London, London, SW7 2AZ, United Kingdom; Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, United Kingdom
| | - K Nitiputri
- Department of Materials, Imperial College London, London, SW7 2AZ, United Kingdom; Department of Bioengineering, Imperial College London, London, SW7 2AZ, United Kingdom; Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, United Kingdom
| | - A Nommeots-Nomm
- Department of Materials, Imperial College London, London, SW7 2AZ, United Kingdom
| | - M D O'Donnell
- Department of Materials, Imperial College London, London, SW7 2AZ, United Kingdom
| | - C Lange
- Max Planck Institute of Colloids and Interfaces, Department of Biomaterials, Research Campus Golm, Potsdam, Germany
| | - B M Seidt
- Max Planck Institute of Colloids and Interfaces, Department of Biomaterials, Research Campus Golm, Potsdam, Germany
| | - T B Kim
- Department of Materials, Imperial College London, London, SW7 2AZ, United Kingdom
| | - A K Solanki
- Department of Materials, Imperial College London, London, SW7 2AZ, United Kingdom; Department of Bioengineering, Imperial College London, London, SW7 2AZ, United Kingdom; Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, United Kingdom
| | - F Tallia
- Department of Materials, Imperial College London, London, SW7 2AZ, United Kingdom
| | - G Young
- Department of Materials, Imperial College London, London, SW7 2AZ, United Kingdom
| | - P D Lee
- Department of Materials, Imperial College London, London, SW7 2AZ, United Kingdom; Mechanical Engineering, University College London, Torrington Place, London, WC1E 7JE, United Kingdom
| | - B F Pierce
- Department of Materials, Imperial College London, London, SW7 2AZ, United Kingdom; Department of Bioengineering, Imperial College London, London, SW7 2AZ, United Kingdom; Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, United Kingdom
| | - W Wagermaier
- Max Planck Institute of Colloids and Interfaces, Department of Biomaterials, Research Campus Golm, Potsdam, Germany
| | - P Fratzl
- Max Planck Institute of Colloids and Interfaces, Department of Biomaterials, Research Campus Golm, Potsdam, Germany
| | - A Goodship
- Institute of Orthopaedics and Musculoskeletal Science, University College London, London, WC1E 6BT, United Kingdom
| | - J R Jones
- Department of Materials, Imperial College London, London, SW7 2AZ, United Kingdom
| | - G Blunn
- Institute of Orthopaedics and Musculoskeletal Science, University College London, London, WC1E 6BT, United Kingdom; School of Pharmacy and Biomedical Sciences, University of Portsmouth, PO1 2DT Portsmouth, United Kingdom.
| | - M M Stevens
- Department of Materials, Imperial College London, London, SW7 2AZ, United Kingdom; Department of Bioengineering, Imperial College London, London, SW7 2AZ, United Kingdom; Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, United Kingdom.
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16
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Huang KL, Mashl RJ, Wu Y, Ritter DI, Wang J, Oh C, Paczkowska M, Reynolds S, Wyczalkowski MA, Oak N, Scott AD, Krassowski M, Cherniack AD, Houlahan KE, Jayasinghe R, Wang LB, Zhou DC, Liu D, Cao S, Kim YW, Koire A, McMichael JF, Hucthagowder V, Kim TB, Hahn A, Wang C, McLellan MD, Al-Mulla F, Johnson KJ, Lichtarge O, Boutros PC, Raphael B, Lazar AJ, Zhang W, Wendl MC, Govindan R, Jain S, Wheeler D, Kulkarni S, Dipersio JF, Reimand J, Meric-Bernstam F, Chen K, Shmulevich I, Plon SE, Chen F, Ding L. Pathogenic Germline Variants in 10,389 Adult Cancers. Cell 2019; 173:355-370.e14. [PMID: 29625052 DOI: 10.1016/j.cell.2018.03.039] [Citation(s) in RCA: 501] [Impact Index Per Article: 100.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2017] [Revised: 02/24/2018] [Accepted: 03/15/2018] [Indexed: 12/20/2022]
Abstract
We conducted the largest investigation of predisposition variants in cancer to date, discovering 853 pathogenic or likely pathogenic variants in 8% of 10,389 cases from 33 cancer types. Twenty-one genes showed single or cross-cancer associations, including novel associations of SDHA in melanoma and PALB2 in stomach adenocarcinoma. The 659 predisposition variants and 18 additional large deletions in tumor suppressors, including ATM, BRCA1, and NF1, showed low gene expression and frequent (43%) loss of heterozygosity or biallelic two-hit events. We also discovered 33 such variants in oncogenes, including missenses in MET, RET, and PTPN11 associated with high gene expression. We nominated 47 additional predisposition variants from prioritized VUSs supported by multiple evidences involving case-control frequency, loss of heterozygosity, expression effect, and co-localization with mutations and modified residues. Our integrative approach links rare predisposition variants to functional consequences, informing future guidelines of variant classification and germline genetic testing in cancer.
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Affiliation(s)
- Kuan-Lin Huang
- Department of Medicine, Washington University in St. Louis, Saint Louis, MO 63108, USA; McDonnell Genome Institute, Washington University in St. Louis, Saint Louis, MO 63108, USA
| | - R Jay Mashl
- Department of Medicine, Washington University in St. Louis, Saint Louis, MO 63108, USA; McDonnell Genome Institute, Washington University in St. Louis, Saint Louis, MO 63108, USA
| | - Yige Wu
- Department of Medicine, Washington University in St. Louis, Saint Louis, MO 63108, USA; McDonnell Genome Institute, Washington University in St. Louis, Saint Louis, MO 63108, USA
| | - Deborah I Ritter
- Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
| | - Jiayin Wang
- School of Management, Xi'an Jiaotong University, Xi'an, Shanxi, China
| | - Clara Oh
- Department of Medicine, Washington University in St. Louis, Saint Louis, MO 63108, USA
| | - Marta Paczkowska
- Computational Biology Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | | | - Matthew A Wyczalkowski
- Department of Medicine, Washington University in St. Louis, Saint Louis, MO 63108, USA; McDonnell Genome Institute, Washington University in St. Louis, Saint Louis, MO 63108, USA
| | - Ninad Oak
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Adam D Scott
- Department of Medicine, Washington University in St. Louis, Saint Louis, MO 63108, USA; McDonnell Genome Institute, Washington University in St. Louis, Saint Louis, MO 63108, USA
| | - Michal Krassowski
- Computational Biology Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | | | - Kathleen E Houlahan
- Computational Biology Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Reyka Jayasinghe
- Department of Medicine, Washington University in St. Louis, Saint Louis, MO 63108, USA; McDonnell Genome Institute, Washington University in St. Louis, Saint Louis, MO 63108, USA
| | - Liang-Bo Wang
- Department of Medicine, Washington University in St. Louis, Saint Louis, MO 63108, USA; McDonnell Genome Institute, Washington University in St. Louis, Saint Louis, MO 63108, USA
| | - Daniel Cui Zhou
- Department of Medicine, Washington University in St. Louis, Saint Louis, MO 63108, USA; McDonnell Genome Institute, Washington University in St. Louis, Saint Louis, MO 63108, USA
| | - Di Liu
- Department of Medicine, Washington University in St. Louis, Saint Louis, MO 63108, USA
| | - Song Cao
- Department of Medicine, Washington University in St. Louis, Saint Louis, MO 63108, USA; McDonnell Genome Institute, Washington University in St. Louis, Saint Louis, MO 63108, USA
| | - Young Won Kim
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Amanda Koire
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Joshua F McMichael
- McDonnell Genome Institute, Washington University in St. Louis, Saint Louis, MO 63108, USA
| | | | - Tae-Beom Kim
- Departments of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Abigail Hahn
- Institute for Systems Biology, Seattle, WA 98109, USA
| | - Chen Wang
- Department of Health Sciences Research and Department of Obstetrics and Gynecology, Mayo Clinic College of Medicine, Rochester, MN 55905 USA
| | - Michael D McLellan
- McDonnell Genome Institute, Washington University in St. Louis, Saint Louis, MO 63108, USA
| | - Fahd Al-Mulla
- Dasman Diabetes Institute and Molecular Pathology Laboratory, Kuwait University, Kuwait
| | - Kimberly J Johnson
- Brown School Master of Public Health Program, Washington University in St. Louis, Saint Louis, MO 63108, USA
| | | | - Olivier Lichtarge
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Paul C Boutros
- Computational Biology Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Benjamin Raphael
- Lewis-Sigler Institute, Princeton University, Princeton, NJ 08544, USA
| | - Alexander J Lazar
- Departments of Pathology and Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Wei Zhang
- Department of Cancer Biology and Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston Salem, NC 27157 USA
| | - Michael C Wendl
- McDonnell Genome Institute, Washington University in St. Louis, Saint Louis, MO 63108, USA; Department of Genetics, Washington University in St. Louis, Saint Louis, MO 63108, USA; Department of Mathematics, Washington University in St. Louis, Saint Louis, MO 63108, USA
| | - Ramaswamy Govindan
- Department of Medicine, Washington University in St. Louis, Saint Louis, MO 63108, USA
| | - Sanjay Jain
- Department of Medicine, Washington University in St. Louis, Saint Louis, MO 63108, USA
| | - David Wheeler
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Shashikant Kulkarni
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Baylor Genetics, Houston, TX 77021, USA
| | - John F Dipersio
- Department of Medicine, Washington University in St. Louis, Saint Louis, MO 63108, USA; Siteman Cancer Center, Washington University in St. Louis, Saint Louis, MO 63108, USA
| | - Jüri Reimand
- Computational Biology Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Funda Meric-Bernstam
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ken Chen
- Departments of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | | | - Sharon E Plon
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Feng Chen
- Department of Medicine, Washington University in St. Louis, Saint Louis, MO 63108, USA; Siteman Cancer Center, Washington University in St. Louis, Saint Louis, MO 63108, USA.
| | - Li Ding
- Department of Medicine, Washington University in St. Louis, Saint Louis, MO 63108, USA; McDonnell Genome Institute, Washington University in St. Louis, Saint Louis, MO 63108, USA; Department of Genetics, Washington University in St. Louis, Saint Louis, MO 63108, USA; Siteman Cancer Center, Washington University in St. Louis, Saint Louis, MO 63108, USA.
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17
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Cho SB, Baek HJ, Ryu KH, Choi BH, Moon JI, Kim TB, Kim SK, Park H, Hwang MJ. Clinical Feasibility of Zero TE Skull MRI in Patients with Head Trauma in Comparison with CT: A Single-Center Study. AJNR Am J Neuroradiol 2019; 40:109-115. [PMID: 30545839 DOI: 10.3174/ajnr.a5916] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [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: 07/30/2018] [Accepted: 11/01/2018] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Conventional MR imaging techniques cannot produce optimal images of bone structures because bone has little water and a very short T2 life span. The aim of this study was to investigate the clinical feasibility of skull MR imaging using the zero TE sequence in patients with head trauma by assessing its diagnostic image quality and quantitative measurement compared with CT images. MATERIALS AND METHODS Thirteen enrolled patients with head trauma were assessed using brain CT and skull MR imaging. Image quality was graded on a 5-point Likert scale to compare the 2 modalities. To evaluate quantitative analyses between the 2 imaging modalities, we measured skull thickness and normalized bone tissue signal. Interobserver reliability was assessed using weighted κ statistics and the intraclass correlation coefficient. RESULTS Both imaging techniques clearly depicted skull fractures in all 13 patients. The mean scores for skull MR imaging and CT were 4.65 ± 0.56 and 4.73 ± 0.45 (P = .157), respectively, with substantial interobserver agreement (P < .05). The 2 imaging modalities showed no difference in skull thickness (P = .092) and had good correlation (r 2 = 0.997). The mean value of normalized bone tissue signal among the 3 layers of the skull was relatively consistent (P = .401) with high interobserver agreement (P < .001). CONCLUSIONS Zero TE skull MR imaging has diagnostic image quality comparable with that of CT images. It also provides consistent results on the quantitative measurement of cortical bone with CT images.
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Affiliation(s)
- S B Cho
- From the Departments of Radiology (S.B.C., H.J.B., K.H.R., B.H.C., J.I.M., T.B.K.)
| | - H J Baek
- From the Departments of Radiology (S.B.C., H.J.B., K.H.R., B.H.C., J.I.M., T.B.K.)
| | - K H Ryu
- From the Departments of Radiology (S.B.C., H.J.B., K.H.R., B.H.C., J.I.M., T.B.K.)
| | - B H Choi
- From the Departments of Radiology (S.B.C., H.J.B., K.H.R., B.H.C., J.I.M., T.B.K.)
| | - J I Moon
- From the Departments of Radiology (S.B.C., H.J.B., K.H.R., B.H.C., J.I.M., T.B.K.)
| | - T B Kim
- From the Departments of Radiology (S.B.C., H.J.B., K.H.R., B.H.C., J.I.M., T.B.K.)
| | - S K Kim
- Neurosurgery (S.K.K., H.P.), Gyeongsang National University Changwon Hospital, Gyeongsang National University School of Medicine, Changwon, Republic of Korea
| | - H Park
- Neurosurgery (S.K.K., H.P.), Gyeongsang National University Changwon Hospital, Gyeongsang National University School of Medicine, Changwon, Republic of Korea
| | - M J Hwang
- MR Applications and Workflow (M.J.H.), GE Healthcare Korea, Seoul, Republic of Korea
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18
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Park IN, Kim TB. Second to fourth digit ratio and lung function (forced vital capacity): predictors of maximum urinary flow rate after holmium laser enucleation of the prostate. Andrology 2018; 7:172-177. [PMID: 30450730 DOI: 10.1111/andr.12564] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [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: 07/20/2018] [Revised: 09/28/2018] [Accepted: 10/18/2018] [Indexed: 11/28/2022]
Abstract
BACKGROUND Maximum urinary flow rate (Qmax) is usually increased after holmium laser enucleation of the prostate (HoLEP). However, improvements vary between patients and results regarding potential predictors of Qmax after HoLEP are inconsistent. Thus, we investigated pre-operative variables including second to fourth digit ratio (digit ratio) and pulmonary function test (PFT) findings as potential predictors of Qmax after HoLEP. METHODS One hundred and ninety-five consecutive patients with benign prostatic hyperplasia (BPH) who underwent HoLEP were enrolled. Before HoLEP, PFTs were performed and lengths of second and fourth digits of right hands were measured by a single investigator using a digital vernier caliper. To identify independent predictors of Qmax after HoLEP, univariate and multivariate analyses were performed using linear regression models. RESULTS Mean age and total prostate volume for all 195 study subjects were 69.4 years and 63.3 mL respectively. Mean pre-operative and post-operative Qmax values were 8.7 and 26.2 mL/sec respectively. Univariate analysis showed age (r = -0.181, p = 0.014), digit ratio (r = 0.213, p = 0.004), lung function (forced vital capacity (FVC): r = 0.218, p = 0.005; forced expiratory volume in 1 sec (FEV1): r = 0.166, p = 0.034), pre-operative Qmax (r = 0.264, p = 0.000), pre-operative voided volume (VV) (r = 0.158, p = 0.033), and post-operative VV (r = 0.311, p = 0.000) were associated with post-operative Qmax, whereas multivariate analysis showed that digit ratio (β = 0.285, p = 0.001), FVC (β = 0.340, p = 0.039), and post-operative VV (β = 0.301, p = 0.000) independently predicted post-operative Qmax. CONCLUSIONS The independent predictors of Qmax after HoLEP were digit ratio and lung function (FVC) as well as post-operative VV. This means that the higher a man's digit ratio and lung function (FVC), the higher his Qmax after HoLEP.
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Affiliation(s)
- I-N Park
- Department of Pulmonology, Inje University Seoul Paik Hospital, Seoul, Korea
| | - T B Kim
- Department of Urology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea
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Wang Z, Ng KS, Chen T, Kim TB, Wang F, Shaw K, Scott KL, Meric-Bernstam F, Mills GB, Chen K. Cancer driver mutation prediction through Bayesian integration of multi-omic data. PLoS One 2018; 13:e0196939. [PMID: 29738578 PMCID: PMC5940219 DOI: 10.1371/journal.pone.0196939] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [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: 09/14/2017] [Accepted: 04/23/2018] [Indexed: 01/23/2023] Open
Abstract
Identification of cancer driver mutations is critical for advancing cancer research and personalized medicine. Due to inter-tumor genetic heterogeneity, many driver mutations occur at low frequencies, which make it challenging to distinguish them from passenger mutations. Here, we show that a novel Bayesian hierarchical modeling approach, named rDriver can achieve enhanced prediction accuracy by identifying mutations that not only have high functional impact scores but also are associated with systemic variation in gene expression levels. In examining 3,080 tumor samples from 8 cancer types in The Cancer Genome Atlas, rDriver predicted 1,389 driver mutations. Compared with existing tools, rDriver identified more low frequency mutations associated with lineage specific functional properties, timing of occurrence and patient survival. Evaluation of rDriver predictions using engineered cell-line models resulted in a positive predictive value of 0.94 in PIK3CA genes. Our study highlights the importance of integrating multi-omic data in predicting cancer driver mutations and provides a statistically rigorous solution for cancer target discovery and development.
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Affiliation(s)
- Zixing Wang
- Department of Bioinformatics and Computational Biology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, United States of America
- Institute for Personalized Cancer Therapy, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, United States of America
| | - Kwok-Shing Ng
- Institute for Personalized Cancer Therapy, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, United States of America
| | - Tenghui Chen
- Department of Bioinformatics and Computational Biology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, United States of America
| | - Tae-Beom Kim
- Department of Bioinformatics and Computational Biology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, United States of America
| | - Fang Wang
- Department of Bioinformatics and Computational Biology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, United States of America
| | - Kenna Shaw
- Institute for Personalized Cancer Therapy, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, United States of America
| | - Kenneth L. Scott
- Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas, United States of America
| | - Funda Meric-Bernstam
- Institute for Personalized Cancer Therapy, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, United States of America
- Department of Investigational Cancer Therapy, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, United States of America
| | - Gordon B. Mills
- Institute for Personalized Cancer Therapy, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, United States of America
- Department of Systems Biology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, United States of America
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, United States of America
- Institute for Personalized Cancer Therapy, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, United States of America
- * E-mail:
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Meric-Bernstam F, Zheng X, Shariati M, Damodaran S, Wathoo C, Brusco L, Demirhan ME, Tapia C, Eterovic AK, Basho RK, Ueno NT, Janku F, Sahin A, Rodon J, Broaddus R, Kim TB, Mendelsohn J, Mills Shaw KR, Tripathy D, Mills GB, Chen K. Survival Outcomes by TP53 Mutation Status in Metastatic Breast Cancer. JCO Precis Oncol 2018; 2018. [PMID: 30035249 DOI: 10.1200/po.17.00245] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Purpose We sought to determine the significant genomic alterations in patients with metastatic breast cancer (MBC), and survival outcomes in common genotypes. Patients and Methods High-depth next generation sequencing was performed for 202 genes in tumor and normal DNA from 257 patients with MBC, including 165 patients with ER/PR+ HER2- (hormone receptor positive, HR+ positive), 32 patients with HER2+ and 60 patients with triple negative (ER/PR/HER2-) cancer. Kaplan Meier survival analysis was performed in our discovery set, in breast cancer patients analyzed in The Cancer Genome Atlas, and in a separate cohort of 98 patients with MBC who underwent clinical genomic testing. Results Significantly mutated genes (SMGs) varied by histology and tumor subtype, but TP53 was a SMG in all three subtypes. The most SMGs in HR+ patients included PIK3CA (32%), TP53 (29%), GATA3 (15%), CDH1 (8%), MAP3K1 (8%), PTEN (5%), TGFBR2 (4%), AKT1 (4%), and MAP2K4 (4%). TP53 mutations were associated with shorter recurrence-free survival (P=0.004), progression-free survival (P=0.00057) and overall survival (P=0.003). Further, TP53 status was prognostic among HR+ patients with PIK3CA mutations. TP53 mutations were also associated with poorer overall survival in the 442 HR+ breast cancer patients in the TCGA (P=0.042) and in an independent set of 96 HR+ MBC who underwent clinical sequencing (P=0.0004). Conclusions SMGs differ by tumor subtype but TP53 is significantly mutated in all three breast cancer subtypes. TP53 mutations are associated with poor prognosis in HR+ breast cancer. TP53 mutations should be considered in the design and interpretation of precision oncology trials.
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Affiliation(s)
- Funda Meric-Bernstam
- The Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030.,Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030.,Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
| | - Xiaofeng Zheng
- Department of Bioinformatics & Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
| | - Maryam Shariati
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
| | - Senthil Damodaran
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030.,Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
| | - Chetna Wathoo
- The Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
| | - Lauren Brusco
- The Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030.,Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
| | - Mehmet Esat Demirhan
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
| | - Coya Tapia
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030.,Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
| | - Agda Karina Eterovic
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
| | - Reva K Basho
- Division of Cancer Medicine, MD Anderson Cancer Center, Houston, TX 77030.,current address: Cedars-Sinai, Los Angeles, CA 90048
| | - Naoto T Ueno
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
| | - Filip Janku
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
| | - Aysegul Sahin
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
| | - Jordi Rodon
- The Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030.,Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
| | - Russell Broaddus
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
| | - Tae-Beom Kim
- Department of Bioinformatics & Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
| | - John Mendelsohn
- The Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030.,Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
| | - Kenna R Mills Shaw
- The Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
| | - Debu Tripathy
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
| | - Gordon B Mills
- The Sheikh Khalifa Bin Zayed Al Nahyan Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030.,Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
| | - Ken Chen
- Department of Bioinformatics & Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030
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Lausted C, Zhou Y, Lee J, Vellano C, Eterovic KA, Song P, Tang LY, Fawcett G, Kim TB, Chen K, Geiss G, Meredith G, Mei Q, Demirkan G, Dunaway D, Kim D, Ross PM, Manrao E, Elliott N, Warren S, Bailey C, Huang CY, Beechem J, Mills G, Hood L. Abstract 2441: NanoString 3D Biology™ technology: simultaneous digital counting of DNA, RNA and protein. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-2441] [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: Development of improved cancer diagnostics and therapeutics requires detailed understanding of the genomic, transcriptomic, and proteomic profiles in the tumor microenvironment. Current technologies can excel at measuring a single analyte, but it remains challenging to simultaneously collect high-throughput DNA, RNA, and protein data from small samples. We have developed an approach that uses optical barcodes to simultaneously profile DNA, RNA, and protein from as little as 5ng DNA, 25ng RNA, and 250ng protein or just 2 5µm FFPE slides, and simplifies data analysis by generating digital counts for each analyte.
Methods: The approach uses paired capture and reporter oligonucleotide probes and optical barcodes to enumerate up to 800 targets. The platform was initially developed to measure RNA, and we have adapted it to measure DNA single nucleotide variants (SNVs), proteins, and phospho-proteins. SNVs are detected by direct hybridization of sequence discriminating probes to the wild-type and mutant sequence of interest. Proteins are detected via binding of oligonucleotide-conjugated antibodies.
Results: Combinations of DNA, RNA, and protein in biological and experimental contexts. SNV probes are able to detect variant alleles down to 5% abundance within a wild type population and can discriminate variants within mutation hotspots. It was >96% accurate at identifying variants from samples displaying a range of allele frequencies and DNA integrity when benchmarked against next-generation sequencing. Protein detection has been developed for cell surface, cytosolic, and nuclear proteins, as well as phospho-proteins. It was validated against flow cytometry, western blot, and mass spectrometry using cell lines with ectopic target expression and primary cells. To demonstrate concurrent measurement of DNA, RNA, and protein from a single system, BRAFWT or BRAFV600E cell lines were treated with the BRAFV600E inhibitor vemurafenib and the MEK inhibitor trametinib. We measured the allele usage at the BRAFV600 locus, as well as BRAFV600E dependent changes in mRNA expression, protein expression and protein phosphorylation in a single experiment.
Conclusions: 3D Biology has several advantages over other analytical approaches. Direct, single-molecule digital counting allows detection over a broad dynamic range with high reproducibility, often over 98% concordance between technical replicates. The simultaneous interrogation of DNA, RNA, and protein maximizes the amount of data obtained from precious samples and minimizes instrumentation demands by leveraging a single detection platform. The 3D Biology approach allows holistic, digital analysis of biological samples with high specificity and precision. This technology is currently available for research use, but may also have clinical application in the future.
Citation Format: Chris Lausted, Yong Zhou, Jinho Lee, Christopher Vellano, Karina A. Eterovic, Ping Song, Lin-ya Tang, Gloria Fawcett, Tae-Beom Kim, Ken Chen, Gary Geiss, Gavin Meredith, Qian Mei, Gokhan Demirkan, Dwayne Dunaway, Dae Kim, P. Martin Ross, Elizabeth Manrao, Nathan Elliott, Sarah Warren, Christina Bailey, Chung-Ying Huang, Joseph Beechem, Gordon Mills, Leroy Hood. NanoString 3D Biology™ technology: simultaneous digital counting of DNA, RNA and protein [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2441. doi:10.1158/1538-7445.AM2017-2441
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Affiliation(s)
| | - Yong Zhou
- 1Institute for Systems Biology, Seattle, WA
| | - Jinho Lee
- 2MD Anderson Cancer Center, Houston, TX
| | | | | | - Ping Song
- 2MD Anderson Cancer Center, Houston, TX
| | | | | | | | - Ken Chen
- 2MD Anderson Cancer Center, Houston, TX
| | - Gary Geiss
- 3Nanostring Technologies, Inc., Seattle, WA
| | | | - Qian Mei
- 3Nanostring Technologies, Inc., Seattle, WA
| | | | | | - Dae Kim
- 3Nanostring Technologies, Inc., Seattle, WA
| | | | | | | | | | | | | | | | | | - Leroy Hood
- 1Institute for Systems Biology, Seattle, WA
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Oh JK, Kim KT, Yoon SJ, Kim SW, Kim TB. Second to fourth digit ratio: a predictor of adult testicular volume. Andrology 2014; 2:862-7. [PMID: 25116409 DOI: 10.1111/j.2047-2927.2014.00256.x] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2013] [Revised: 07/02/2014] [Accepted: 07/11/2014] [Indexed: 11/30/2022]
Abstract
It has been suggested that second to fourth digit ratio (digit ratio) may correlate with male reproductive system function or disorders. This hypothesis is based on finding that the Hox genes control finger development and differentiation of the genital bud during embryogenesis. Thus, we investigated the association between digit ratio and adult testicular volume. A total of 172 Korean men (aged 20-69 years) hospitalized for urological surgery were prospectively enrolled. Patients with conditions known to strongly influence testicular volume were excluded. Before determining testicular volume, the lengths of the second and fourth digits of the right hand were measured by a single investigator using a digital vernier calliper. Using orchidometry, the testes were measured by an experienced urologist who had no information about the patient's digit ratio. To identify the independent predictive factors influencing testicular volume, univariate and multivariate analyses were performed using linear regression models. Age, height, serum testosterone and free testosterone level were not correlated with testicular volume. Digit ratio, along with weight, was significantly correlated with testicular volume (right testicular volume: r = -0.185, p = 0.015; left testicular volume: r = -0.193, p = 0.011; total testicular volume: r = -0.198, p = 0.009). Multivariate analysis using linear regression models showed that only digit ratio was the independent factor to predict all (right, left and total) testicular volumes (right testicular volume: β = -0.174, p = 0.023; left testicular volume: β = -0.181, p = 0.017; total testicular volume: β = -0.185, p = 0.014). Our findings demonstrated that digit ratio is negatively associated with adult testicular volume. This means that men with a higher digit ratio may be more likely to have smaller testis compared to those with a lower digit ratio.
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Affiliation(s)
- J K Oh
- Department of Urology, Gachon University Gil Hospital, Incheon, Korea
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23
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Chang JH, Lee KY, Kim TB, Yoon SJ, Lee T, Kim KH. Clinical and urodynamic effect of methylphenidate for the treatment of giggle incontinence (enuresis risoria). Neurourol Urodyn 2011; 30:1338-42. [PMID: 21520251 DOI: 10.1002/nau.21046] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2010] [Accepted: 11/08/2010] [Indexed: 11/10/2022]
Abstract
AIMS We retrospectively investigated the efficacy of methylphenidate (MPH) in giggle incontinence (GI), and the relationship between GI and urodynamic parameters. METHODS Nine (n = 9) female GI patients underwent 1 year of treatment with 5 mg MPH. Three questionnaires, voiding diaries, and UDS were conducted before and after treatment. The severity of GI was classified into mild, moderate, and severe. Clinical success was characterized as: full response, response, partial response, and non-response. RESULTS The mean age of all patients was 16.2 ± 2.3 years. Five patients had mild, one had moderate, and three had severe grade incontinent. All patients reported complete cessation of wetting after MPH treatment. The mean duration of asymptomatic period was 7 ± 3.2 months. There were no statistically significant score changes in all three questionnaires: Urgency Perception Scale (UPS), Overactive Bladder Symptom Score (OABSS) and Primary Overactive Symptom Questionnaire (POSQ), and voiding diaries (P > 0.05). In UDS, there were no statistically significant altered parameters, except maximum urethral closure pressure (MUCP) and maximum urethral pressure (MUP). After treatment, the mean MUCP was increased from 52.2 ± 6.8 to 73.0 ± 5.4 cmH(2) O (P < 0.05), and the mean MUP was increased from 48.6 ± 7.3 to 70.2 ± 5.0 cmH(2) O (P < 0.05). CONCLUSIONS MPH can be a viable option for the primary treatment of GI, and it may be related to increasing urethral closure pressure. It was not possible to establish if a relationship between GI and detrusor overactivity exists.
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Affiliation(s)
- Joo-Hyun Chang
- Department of Urology, Gachon University Gil Hospital, Incheon, Korea
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Kim TB, Park HK, Lee KY, Kim KH, Jung H, Yoon SJ. Life-threatening complication after extracorporeal shock wave lithotripsy for a renal stone: a hepatic subcapsular hematoma. Korean J Urol 2010; 51:212-5. [PMID: 20414400 PMCID: PMC2855451 DOI: 10.4111/kju.2010.51.3.212] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [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: 02/03/2010] [Accepted: 02/22/2010] [Indexed: 11/18/2022] Open
Abstract
Extracorporeal shock wave lithotripsy (ESWL) has revolutionized the management of urolithiasis since it was first introduced in 1980. ESWL is a well-established, safe and effective therapeutic alternative to surgical treatment for urolithiasis. Complications of ESWL do occur in a small number of patients, and when they do, they typically involve the kidney. We present a case of a young female patient who developed a huge hepatic subcapsular hematoma accompanied by hypovolemic shock after ESWL for a 9 mm stone in the right kidney. The hematoma measured 13×6 cm. Conservative care with no surgical intervention was chosen because there was no evidence of active bleeding on the computed tomography. After conservative therapy, the hematoma was gradually absorbed and the patient was discharged.
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Affiliation(s)
- Tae-Beom Kim
- Department of Urology, Gachon University Gil Hospital, Incheon, Korea
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25
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Kim TB, Park HK, Chang JH, Choi IH, Kim KH, Yoon SJ, Lee MS, Jung H, Kim CS. The establishment of dendritic cell-tumor fusion vaccines for hormone refractory prostate cancer cell. Korean J Urol 2010; 51:139-44. [PMID: 20414428 PMCID: PMC2855480 DOI: 10.4111/kju.2010.51.2.139] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [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: 12/11/2009] [Accepted: 02/01/2010] [Indexed: 12/23/2022] Open
Abstract
Purpose Dendritic cell (DC)-based tumor vaccine is an attractive modality for the treatment of hormone-refractory prostate cancer (HRPC) because it has some efficacy and few side effects in patients with poor general conditions. The aim of this study was to establish which is the most effective DC vaccine for the treatment of HRPC. We compared DC vaccine sensitized with tumor lysate and a fusion vaccine of DCs and tumor cells. Materials and Methods The DU145 cancer cell line was purchased from the American Type Culture Collection. DCs were cultured from peripheral blood monocytes. Peripheral blood monocytes were cultured in RPMI 1640 medium supplemented with interleukin-4 (IL-4), granulocyte-macrophage colony-stimulating factor, and 10% fetal calf serum. Tumor necrosis factor-alpha was added on day 7 to support maturation. Functional activity was measured in three groups: the DC single-culture group, the DC culture group with DC vaccine sensitized with tumor lysates, and the DC culture group prepared with tumor fusion vaccine made from irradiated tumor cells and monocyte-derived DCs by the polyethylene glycol method. Results By FACS analysis, the rate of DC-tumor fusion vaccine was 20.3±3%. The IL-12 level produced by the DC-tumor fusion vaccine was significantly higher than that of DCs pulsed with tumor lysate (p<0.05). Also, the generation of interferon-γ by tumor-specific T cells in the DC-tumor fusion vaccine group was superior to that of DCs pulsed with tumor lysate (p<0.05). In addition, the T cells of the tumor lysate-pulsed DCs and tumor fusion vaccine had 1.6 and 2.5 times the functional activity, respectively, of the DC single-culture group in killing tumor cells in the cytotoxicity assay. Conclusions The DC-tumor fusion vaccine seems to be more effective than DC single-culture or DC-tumor lysate vaccine in the treatment of HRPC.
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Affiliation(s)
- Tae-Beom Kim
- Department of Urology, Gachon University Gil Hospital, Incheon, Korea
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26
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Kim TB, Isaacson B, Sivakumaran TA, Starr A, Keats BJB, Lesperance MM. A gene responsible for autosomal dominant auditory neuropathy (AUNA1) maps to 13q14-21. J Med Genet 2005; 41:872-6. [PMID: 15520414 PMCID: PMC1735621 DOI: 10.1136/jmg.2004.020628] [Citation(s) in RCA: 52] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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27
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Kim HH, Kim KH, Kim DH, Kim MC, Kim BS, Kim YW, Kim YI, Kim YH, Kim W, Kim WW, Kim JJ, Kim TB, Ryu SY, Ryu SW, Min YD, Park YC, Park CH, Baik HK, Song KY, Yang HK, Lee KY, Lee BE, Lee BH, Lee YJ, Lee WK, Lee JH, Lee HJ, Jeon HM, Jung SJ, Cho GS, Chin HM, Choi SH, Choi YB, Han SU, Hur KY, Hur YS, Hyung WJ, Hong BH. Nationwide Survey of Laparoscopic Gastric Surgery in Korea, 2004. ACTA ACUST UNITED AC 2005. [DOI: 10.5230/jkgca.2005.5.4.295] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.0] [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]
Affiliation(s)
- H H Kim
- Department of Surgery, College of Medicine, Seoul National University
| | - K H Kim
- Department of Surgery, DongKang Medical Center
| | - D H Kim
- Department of Surgery, Pusan National University
| | - M C Kim
- Department of Surgery, Dong-A University
| | - B S Kim
- Department of Surgery, Ulsan University
| | | | - Y I Kim
- 7Department of Surgery, Ewha Woman's University
| | - Y H Kim
- Department of Surgery, Gangneung Asan Hospital
| | - W Kim
- Department of Surgery, The Catholic University of Korea
| | - W W Kim
- Department of Surgery, Pochon CHA University
| | - J J Kim
- Department of Surgery, The Catholic University of Korea
| | - T B Kim
- Department of Surgery, Kyungpook National University
| | - S Y Ryu
- Department of Surgery, Chonnam National University
| | - S W Ryu
- Department of Surgery, Keimyung University
| | - Y D Min
- Department of Surgery, Chosun University
| | - Y C Park
- Department of Surgery, Dankook University
| | - C H Park
- Department of Surgery, The Catholic University of Korea
| | - H K Baik
- Department of Surgery, Hanyang University
| | - K Y Song
- Department of Surgery, The Catholic University of Korea
| | - H K Yang
- Department of Surgery, College of Medicine, Seoul National University
| | - K Y Lee
- Department of Surgery, Kyung Hee University
| | - B E Lee
- Department of Surgery, Changwon Fatima Hospital
| | - B H Lee
- Department of Surgery, Hallym University
| | - Y J Lee
- Department of Surgery, Gyeongsang National University
| | - W K Lee
- Department of Surgery, Gachon Medical School
| | - J H Lee
- 7Department of Surgery, Ewha Woman's University
| | - H J Lee
- Department of Surgery, College of Medicine, Seoul National University
| | - H M Jeon
- Department of Surgery, The Catholic University of Korea
| | - S J Jung
- Department of Surgery, Daegu Catholic University
| | - G S Cho
- Department of Surgery, Soonchunhyang University
| | - H M Chin
- Department of Surgery, The Catholic University of Korea
| | - S H Choi
- Department of Surgery, Yonsei University
| | - Y B Choi
- Department of Surgery, Ulsan University
| | - S U Han
- Department of Surgery, Ajou University
| | - K Y Hur
- Department of Surgery, Hansol Hospital
| | - Y S Hur
- Department of Surgery, Inha University
| | - W J Hyung
- Department of Surgery, Yonsei University
| | - B H Hong
- Department of Surgery, Eulji University
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Thanh NV, Cowman AF, Hipgrave D, Kim TB, Phuc BQ, Cong LD, Biggs BA. Assessment of susceptibility of Plasmodium falciparum to chloroquine, quinine, mefloquine, sulfadoxine-pyrimethamine and artemisinin in southern Viet Nam. Trans R Soc Trop Med Hyg 2001; 95:513-7. [PMID: 11706663 DOI: 10.1016/s0035-9203(01)90023-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
Abstract
Resistance to antimalarial chemotherapy is a major concern for malaria control in Viet Nam. In this study undertaken in 1998, 65 patients with uncomplicated Plasmodium falciparum malaria were monitored for 28 days after completion of a 5-day treatment course with artemisinin. Overall 36.9% (24/65) of patients had recurrent parasitaemia during the surveillance period. P. falciparum isolates were tested for sensitivity in vitro to chloroquine, mefloquine, quinine, sulfadoxine-pyrimethamine and results were compared to those from a similar study in 1995. Increased parasite sensitivity to sulfadoxine-pyrimethamine, chloroquine and quinine was demonstrated, with significantly lower mean EC50 and EC99 values in 1998 compared to 1995. Parasite sensitivity to mefloquine did not differ significantly in the 2 surveys. Isolates were also tested for sensitivity in vitro to artemisinin in the 1998 survey. The mean EC50 was 0.03 mumol/L and the EC99 was 0.94 mumol/L. Parasite sensitivity to artemisinin will need to be monitored in view of its increasing use in Viet Nam.
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Affiliation(s)
- N V Thanh
- National Institute of Malariology, Parasitology and Entomology, Hanoi, Viet Nam
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Huong NM, Hewitt S, Davis TM, Dao LD, Toan TQ, Kim TB, Hanh NT, Phuong VN, Nhan DH, Cong LD. Resistance of Plasmodium falciparum to antimalarial drugs in a highly endemic area of southern Viet Nam: a study in vivo and in vitro. Trans R Soc Trop Med Hyg 2001; 95:325-9. [PMID: 11491008 DOI: 10.1016/s0035-9203(01)90254-8] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
Abstract
To assess the antimalarial sensitivity of Plasmodium falciparum in vivo and in vitro in a highly endemic area of southern Viet Nam, a field study was conducted (in 1999) at a rubber plantation in Binh Phuoc Province north of Ho Chi Minh City. Fifty patients were treated with either artesunate (4 mg/kg on day 0, then 2 mg/kg on day 1 to 4) or mefloquine (10 mg/kg at 0 h, then 5 mg/kg at 6 h), and their progress was followed for 28 days under standard WHO protocols. Blood spots were taken at baseline from all patients, as well as from those who redeveloped parasitaemia during follow-up, for polymerase chain reaction (PCR) determination of parasite genotypes to assist differentiation of re-infection from recrudescence. Both treatments cleared parasites within 5 days. Of the 25 mefloquine-treated patients, 2 (8%) re-presented with probable re-infections. For artesunate, 4 patients (16%) had re-infections and 5 (20%) had recrudescences. Sensitivity tests in vitro of pre-treatment P. falciparum isolates showed geometric mean IC50 values of 29, 38, 209 and 15 nmol/L for chloroquine (n = 32), mefloquine (n = 33), quinine (n = 31) and artemisinin (n = 31), respectively. There were significant correlations between IC50s for artemisinin and mefloquine (r = 0.72, P = 0.004), and chloroquine and quinine (r = 0.44, P = 0.05). These data show that, although mefloquine has been used for 10 years in Binh Phuoc Province, it remains fully effective, perhaps because an artemisinin derivative is commonly given at the same time. The recrudescence rate for artesunate is similar to those reported in other epidemiological contexts. The present in-vitro data imply that quinine remains effective and that reduced drug pressure has been associated with increased sensitivity of local strains of P. falciparum to chloroquine. Although from one hyperendemic area, these results may have implications for antimalarial prophylaxis and treatment strategies for residents and travellers to southern Viet Nam.
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Affiliation(s)
- N M Huong
- National Institute of Malariology, Parasitology and Entomology, Luong, Vinh Road, Hanoi, Viet Nam
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Kang H, Choi JD, Jung IG, Kim DW, Kim TB, Shin HK, Kim BT, Park CK, Yoo JY. A case of methimazole-induced acute hepatic failure in a patient with chronic hepatitis B carrier. Korean J Intern Med 1990; 5:69-73. [PMID: 2271514 PMCID: PMC4535001 DOI: 10.3904/kjim.1990.5.1.69] [Citation(s) in RCA: 20] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
We report a case of methimazole-induced acute hepatic failure, which occurred 17 weeks after initiation of the drug in a 43-year-old man with hyperthyroidism and hepatitis B surface antigenemia. Postmortem needle autopsy of the liver revealed an established micronodular cirrhosis secondary to hepatitis B with moderate septal/portal inflammation, marked cholestasis and scattered acidophilic bodies. The serum hepatitis B surface antigen (HBsAg) was positive, but reactivation of hepatitis B was unlikely in view of the absence of a serum hepatitis B e antigen (HBeAg) and hepatitis B virus deoxyribonucleic acid (HBV-DNA) and negative stain for HBsAg and hepatitis B core antigen (HBcAg) in the liver tissue.
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Affiliation(s)
- H Kang
- Department of Internal Medicine, College of Medicine, Hallym University, Seoul, Korea
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