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Kawabata K, Nishikubo H, Kanei S, Aoyama R, Tsukada Y, Sano T, Imanishi D, Sakuma T, Maruo K, Yamamoto Y, Wang Q, Zhu Z, Fan C, Yashiro M. Significance of Multi-Cancer Genome Profiling Testing for Breast Cancer: A Retrospective Analysis of 3326 Cases from Japan's National Database. Genes (Basel) 2024; 15:792. [PMID: 38927728 PMCID: PMC11203237 DOI: 10.3390/genes15060792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 06/05/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024] Open
Abstract
Background: Breast cancer (BC) has the highest morbidity rate and the second-highest mortality rate of all cancers among women. Recently, multi-cancer genome profiling (multi-CGP) tests have become clinically available. In this study, we aimed to clarify the significance of multi-CGP testing of BC by using the large clinical dataset from The Center for Cancer Genomics and Advanced Therapeutics (C-CAT) profiling database in Japan. Materials and Methods: A total of 3744 BC cases were extracted from the C-CAT database, which enrolled 60,250 patients between June 2019 and October 2023. Of the 3744 BC cases, a total of 3326 cases for which the C-CAT included information on ER, PR, and HER2 status were classified into four subtypes, including TNBC, HR+/HER2-, HR+/HER2+, and HR-/HER2+. Comparisons between groups were performed by the χ2 test or Fisher's exact test using EZR. Kaplan-Meier curves were created using the log-rank test. Results: Of all 3326 cases analyzed, 1114 (33.5%) were TNBC cases, HR+/HER2- accounted for 1787 cases (53.7%), HR+/HER2+ for 260 cases (7.8%), and HR-/HER2+ for 165 cases (5.0%). Genetic abnormalities were most frequently detected in TP53 (58.0%), PIK3CA (35.5%), MYC (18.7%), FGF19 (15.5%), and GATA3 (15.1%) across all BCs. The rate of TMB-High was 12.3%, and the rate of MSI-High was 0.3%, in all BC cases. Therapeutic drugs were proposed for patients with mutations in six genes: PIK3CA, ERBB2, PTEN, FGFR1, ESR1, and AKT1. The prognoses of HR+/HER2- cases were significantly (p = 0.044) better in the treated group than in the untreated group. Conclusions: These findings suggest that cancer gene panel testing is useful for HR+/HER2- cases.
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Affiliation(s)
- Kyoka Kawabata
- Department of Molecular Oncology and Therapeutics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan; (K.K.); (H.N.); (S.K.); (R.A.); (Y.T.); (T.S.); (D.I.); (T.S.); (K.M.); (Y.Y.); (Q.W.); (Z.Z.); (C.F.)
| | - Hinano Nishikubo
- Department of Molecular Oncology and Therapeutics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan; (K.K.); (H.N.); (S.K.); (R.A.); (Y.T.); (T.S.); (D.I.); (T.S.); (K.M.); (Y.Y.); (Q.W.); (Z.Z.); (C.F.)
| | - Saki Kanei
- Department of Molecular Oncology and Therapeutics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan; (K.K.); (H.N.); (S.K.); (R.A.); (Y.T.); (T.S.); (D.I.); (T.S.); (K.M.); (Y.Y.); (Q.W.); (Z.Z.); (C.F.)
| | - Rika Aoyama
- Department of Molecular Oncology and Therapeutics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan; (K.K.); (H.N.); (S.K.); (R.A.); (Y.T.); (T.S.); (D.I.); (T.S.); (K.M.); (Y.Y.); (Q.W.); (Z.Z.); (C.F.)
| | - Yuki Tsukada
- Department of Molecular Oncology and Therapeutics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan; (K.K.); (H.N.); (S.K.); (R.A.); (Y.T.); (T.S.); (D.I.); (T.S.); (K.M.); (Y.Y.); (Q.W.); (Z.Z.); (C.F.)
| | - Tomoya Sano
- Department of Molecular Oncology and Therapeutics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan; (K.K.); (H.N.); (S.K.); (R.A.); (Y.T.); (T.S.); (D.I.); (T.S.); (K.M.); (Y.Y.); (Q.W.); (Z.Z.); (C.F.)
| | - Daiki Imanishi
- Department of Molecular Oncology and Therapeutics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan; (K.K.); (H.N.); (S.K.); (R.A.); (Y.T.); (T.S.); (D.I.); (T.S.); (K.M.); (Y.Y.); (Q.W.); (Z.Z.); (C.F.)
| | - Takashi Sakuma
- Department of Molecular Oncology and Therapeutics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan; (K.K.); (H.N.); (S.K.); (R.A.); (Y.T.); (T.S.); (D.I.); (T.S.); (K.M.); (Y.Y.); (Q.W.); (Z.Z.); (C.F.)
| | - Koji Maruo
- Department of Molecular Oncology and Therapeutics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan; (K.K.); (H.N.); (S.K.); (R.A.); (Y.T.); (T.S.); (D.I.); (T.S.); (K.M.); (Y.Y.); (Q.W.); (Z.Z.); (C.F.)
| | - Yurie Yamamoto
- Department of Molecular Oncology and Therapeutics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan; (K.K.); (H.N.); (S.K.); (R.A.); (Y.T.); (T.S.); (D.I.); (T.S.); (K.M.); (Y.Y.); (Q.W.); (Z.Z.); (C.F.)
| | - Qiang Wang
- Department of Molecular Oncology and Therapeutics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan; (K.K.); (H.N.); (S.K.); (R.A.); (Y.T.); (T.S.); (D.I.); (T.S.); (K.M.); (Y.Y.); (Q.W.); (Z.Z.); (C.F.)
| | - Zhonglin Zhu
- Department of Molecular Oncology and Therapeutics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan; (K.K.); (H.N.); (S.K.); (R.A.); (Y.T.); (T.S.); (D.I.); (T.S.); (K.M.); (Y.Y.); (Q.W.); (Z.Z.); (C.F.)
| | - Canfeng Fan
- Department of Molecular Oncology and Therapeutics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan; (K.K.); (H.N.); (S.K.); (R.A.); (Y.T.); (T.S.); (D.I.); (T.S.); (K.M.); (Y.Y.); (Q.W.); (Z.Z.); (C.F.)
| | - Masakazu Yashiro
- Department of Molecular Oncology and Therapeutics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan; (K.K.); (H.N.); (S.K.); (R.A.); (Y.T.); (T.S.); (D.I.); (T.S.); (K.M.); (Y.Y.); (Q.W.); (Z.Z.); (C.F.)
- Cancer Center for Translational Research, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan
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Murciano-Goroff YR, Uppal M, Chen M, Harada G, Schram AM. Basket Trials: Past, Present, and Future. ANNUAL REVIEW OF CANCER BIOLOGY 2024; 8:59-80. [PMID: 38938274 PMCID: PMC11210107 DOI: 10.1146/annurev-cancerbio-061421-012927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/29/2024]
Abstract
Large-scale tumor molecular profiling has revealed that diverse cancer histologies are driven by common pathways with unifying biomarkers that can be exploited therapeutically. Disease-agnostic basket trials have been increasingly utilized to test biomarker-driven therapies across cancer types. These trials have led to drug approvals and improved the lives of patients while simultaneously advancing our understanding of cancer biology. This review focuses on the practicalities of implementing basket trials, with an emphasis on molecularly targeted trials. We examine the biologic subtleties of genomic biomarker and patient selection, discuss previous successes in drug development facilitated by basket trials, describe certain novel targets and drugs, and emphasize practical considerations for participant recruitment and study design. This review also highlights strategies for aiding patient access to basket trials. As basket trials become more common, steps to ensure equitable implementation of these studies will be critical for molecularly targeted drug development.
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Affiliation(s)
| | - Manik Uppal
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Monica Chen
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Guilherme Harada
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alison M Schram
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
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Yamaguchi T, Ikegami M, Aruga T, Kanemasa Y, Horiguchi SI, Kawai K, Takao M, Yamada T, Ishida H. Genomic landscape of comprehensive genomic profiling in patients with malignant solid tumors in Japan. Int J Clin Oncol 2024:10.1007/s10147-024-02554-8. [PMID: 38795236 DOI: 10.1007/s10147-024-02554-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 05/14/2024] [Indexed: 05/27/2024]
Abstract
BACKGROUND Comprehensive genomic profiling (CGP) can aid the discovery of clinically useful, candidate antitumor agents; however, the variant annotations sometimes differ among the various types of CGP tests as well as the public database. The aim of this study is to clarify the genomic landscape of evaluating detected variants in patients with a malignant solid tumor. METHODS The present, cross-sectional study used data from 57,084 patients with a malignant solid tumor who underwent CGP at the Center for Cancer Genomics and Advanced Therapeutics (C-CAT) between June 1, 2019 and August 18, 2023. The pathogenicity of the variants was annotated using public databases. RESULTS As a result of re-annotation of the detected variants, 20.1% were pathogenic and 1.4% were benign. The mean number of pathogenic variants was 4.30 (95% confidence interval: 4.27-4.32) per patient. Of the entire cohort, 5.7% had no pathogenic variant. The co-occurrence of the genes depended on the tumor type. Germline findings were detected in 6.2%, 8.8%, and 15.8% of the patients using a tumor/normal panel, tumor-only panel, and liquid panel, respectively, with the most common gene being BRCA2 followed by TP53 and BRCA1. CONCLUSIONS The detected variants should be re-annotated because several benign variants or variants of unknown significance were included in the CGP, and the genomic landscape derived from these results will help researchers and physicians interpret the results of CGP tests. The method of extracting presumptive, germline, pathogenic variants from patients using a tumor-only panel or circulating tumor DNA panel requires improvement.
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Affiliation(s)
- Tatsuro Yamaguchi
- Department of Clinical Genetics, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan.
| | - Masachika Ikegami
- Department of Clinical Genetics, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
- Department of Musculoskeletal Oncology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, 3-18-22 Honkomagome, Bunkyo-Ku, Tokyo, 113-8677, Japan
| | - Tomoyuki Aruga
- Department of Clinical Genetics, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
- Department of Surgery, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
| | - Yusuke Kanemasa
- Department of Clinical Genetics, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
- Department of Medical Oncology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
| | - Shin-Ichiro Horiguchi
- Department of Pathology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
| | - Kazushige Kawai
- Department of Surgery, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
| | - Misato Takao
- Department of Surgery, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
| | - Takeshi Yamada
- Department of Surgery, Nihon Medical University, Tokyo, Japan
| | - Hideyuki Ishida
- Department of Digestive Tract and General Surgery, Saitama Medical Center, Saitama Medical University, Kawagoe, Japan
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Tung N, Ricker C, Messersmith H, Balmaña J, Domchek S, Stoffel EM, Almhanna K, Arun B, Chavarri-Guerra Y, Cohen SA, Cragun D, Crew KD, Hall MJ, Idos G, Lopez G, Pal T, Pirzadeh-Miller S, Pritchard C, Rana HQ, Swami U, Vidal GA. Selection of Germline Genetic Testing Panels in Patients With Cancer: ASCO Guideline. J Clin Oncol 2024:JCO2400662. [PMID: 38759122 DOI: 10.1200/jco.24.00662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 04/03/2024] [Indexed: 05/19/2024] Open
Abstract
PURPOSE To guide use of multigene panels for germline genetic testing for patients with cancer. METHODS An ASCO Expert Panel convened to develop recommendations on the basis of a systematic review of guidelines, consensus statements, and studies of germline and somatic genetic testing. RESULTS Fifty-two guidelines and consensus statements met eligibility criteria for the primary search; 14 studies were identified for Clinical Question 4. RECOMMENDATIONS Patients should have a family history taken and recorded that includes details of cancers in first- and second-degree relatives and the patient's ethnicity. When more than one gene is relevant based on personal and/or family history, multigene panel testing should be offered. When considering what genes to include in the panel, the minimal panel should include the more strongly recommended genes from Table 1 and may include those less strongly recommended. A broader panel may be ordered when the potential benefits are clearly identified, and the potential harms from uncertain results should be mitigated. Patients who meet criteria for germline genetic testing should be offered germline testing regardless of results from tumor testing. Patients who would not normally be offered germline genetic testing based on personal and/or family history criteria but who have a pathogenic or likely pathogenic variant identified by tumor testing in a gene listed in Table 2 under the outlined circumstances should be offered germline testing.Additional information is available at www.asco.org/molecular-testing-and-biomarkers-guidelines.
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Affiliation(s)
- Nadine Tung
- Beth Israel Deaconess Medical Center, Sharon, MA
| | | | | | | | | | | | | | - Banu Arun
- University of Texas MD Anderson Cancer Center, Houston, TX
| | - Yanin Chavarri-Guerra
- Instituto Nacional de Ciencias Médicas y Nutrición, Salvador Zubirán, Mexico City, Mexico
| | | | | | | | | | - Gregory Idos
- City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Ghecemy Lopez
- USC Norris Comprehensive Cancer Center, Los Angeles, CA
| | - Tuya Pal
- Vanderbilt-Ingram Cancer Center, Nashville, TN
| | - Sara Pirzadeh-Miller
- Simmons Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX
| | | | | | - Umang Swami
- Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT
| | - Gregory A Vidal
- The West Cancer Center and Research Institute and The University of Tennessee Health Sciences Center, Germantown, TN
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5
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Hall MJ, D'Avanzo PA, Chertock Y, Kelly PJA, Brajuha J, Singley K, Luck CC, Bass SB. Oncologists' perceptions of tumor genomic profiling and barriers to communicating secondary hereditary risks to African American cancer patients. BMC Cancer 2024; 24:412. [PMID: 38566032 PMCID: PMC10988900 DOI: 10.1186/s12885-024-12184-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 03/26/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Tumor genomic profiling (TGP) identifies targets for precision cancer treatments, but also secondary hereditary risks. Oncologists are poorly trained to communicate the results of TGP, especially among patients with lower health literacy, poorer genetics knowledge, and higher mistrust. African American (AA) patients are especially vulnerable to poor understanding due to significant cancer disparities and lower uptake of TGP. The goal of this research is to inform the development of an internet-based brief educational support for oncologists to prepare them to provide better decisional support related to TGP for their AA cancer patients. METHODS This mixed-methods study used semi-structured interviews of oncologists to inform development of an online survey with a convenience sample of US-based oncologists (n = 50) to assess perceptions of the challenges of TGP and communicating results to AA patients. RESULTS Most interviewed oncologists felt it was important to consider racial/cultural differences when communicating about hereditary risks. Cost, family dynamics, discrimination concerns, and medical mistrust were identified as particularly salient. Survey respondents' views related to AAs and perceptions of TGP were strongly associated with years since completing training, with recent graduates expressing stronger agreement with statements identifying barriers/disadvantages to TGP for AA patients. CONCLUSIONS Oncologists who had more recently completed training expressed more negative perceptions of TGP and more perceived challenges in communicating about TGP with their AA patients. Focused training for oncologists that addresses barriers specific to AAs may be helpful in supporting improved communication about TGP and improved decisional support for AA patients with cancer considering TGP to evaluate their tumors.
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Affiliation(s)
- Michael J Hall
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA.
| | - Paul A D'Avanzo
- College of Public Health, Department of Social and Behavioral Sciences, Temple University, Philadelphia, PA, USA
| | - Yana Chertock
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Patrick J A Kelly
- College of Public Health, Department of Social and Behavioral Sciences, Temple University, Philadelphia, PA, USA
| | - Jesse Brajuha
- College of Public Health, Department of Social and Behavioral Sciences, Temple University, Philadelphia, PA, USA
| | - Katie Singley
- College of Public Health, Department of Social and Behavioral Sciences, Temple University, Philadelphia, PA, USA
| | - Caseem C Luck
- College of Public Health, Department of Social and Behavioral Sciences, Temple University, Philadelphia, PA, USA
| | - Sarah B Bass
- College of Public Health, Department of Social and Behavioral Sciences, Temple University, Philadelphia, PA, USA
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Byrne M, Sia TY, Fong C, Khurram A, Waters M, Kemel YM, Zhou Q, Ranganathan M, Long Roche K, Chi DS, Saban S, Wu M, Varice N, Hamilton JG, Carrot-Zhang J, Abu-Rustum NR, Iasonos A, Ellenson LH, Mandelker D, Weigelt B, Brown CL, Aghajanian C, Stadler Z, Liu YL. Mainstreaming in parallel with ovarian cancer tumor testing to improve genetic testing uptake. Gynecol Oncol 2024; 183:126-132. [PMID: 38493020 DOI: 10.1016/j.ygyno.2024.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 03/01/2024] [Accepted: 03/05/2024] [Indexed: 03/18/2024]
Abstract
OBJECTIVES Although genetic testing (GT) is universally recommended for patients with epithelial ovarian cancer (EOC), rates are low (34%). In 1/2019, we implemented mainstreaming-GT in parallel with tumor testing via MSK-IMPACT within oncology clinics. We sought to determine GT rates pre/post-mainstreaming and patient characteristics associated with GT. METHODS Patients with newly diagnosed EOC seen at our institution from 7/1/2015-3/31/2022 were included. Clinical data were abstracted including social determinants of health (SDOH) variables, race/ethnicity, marital status, insurance, language, comorbidities, employment, and Yost index, a measure of socioeconomic status. GT rates were calculated overall and pre-/post-mainstreaming (1/2019). Logistic regression models were fit to identify variables associated with GT. RESULTS Of 1742 patients with EOC, 1591 (91%) underwent GT. Rates of GT increased from 87% to 95% after mainstreaming (p < 0.001). Among 151 patients not undergoing GT, major reasons were lack of provider recommendation (n = 76, 50%) and logistical issues (n = 38, 25%) with few declining (n = 14, 9%) or having medical complications preventing GT (n = 7, 4.6%). High-grade serous histology, advanced stage (III/IV), and having a spouse/partner were associated with increased GT uptake (p < 0.01). Among SDOH variables, there were no differences by insurance, Yost score, language, comorbidities, employment, or race/ethnicity. In multivariable models, likelihood of GT increased with mainstreaming, even after adjustment for histology, stage, and marital status (OR 3.77; 95% CI: 2.56-5.66). CONCLUSIONS Mainstreaming increased the likelihood of GT in patients with EOC. We found lower testing rates in patients without partners/spouses, non-high-grade serous histology, and early-stage disease, representing potential areas for future interventions.
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Affiliation(s)
- Maureen Byrne
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Tiffany Y Sia
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Christopher Fong
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Aliya Khurram
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Michele Waters
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Yelena M Kemel
- Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Qin Zhou
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Megha Ranganathan
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Kara Long Roche
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America; Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY, United States of America
| | - Dennis S Chi
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America; Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY, United States of America
| | - Sally Saban
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Michelle Wu
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Nancy Varice
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Jada G Hamilton
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America; Department of Psychiatry, Weill Cornell Medical College, New York, NY, United States of America; Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Jian Carrot-Zhang
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Nadeem R Abu-Rustum
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America; Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY, United States of America
| | - Alexia Iasonos
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Lora H Ellenson
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Diana Mandelker
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Britta Weigelt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America
| | - Carol L Brown
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America; Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY, United States of America
| | - Carol Aghajanian
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America; Department of Medicine, Weill Cornell Medical College, New York, NY, United States of America
| | - Zsofia Stadler
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America; Department of Medicine, Weill Cornell Medical College, New York, NY, United States of America
| | - Ying L Liu
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America; Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America; Department of Medicine, Weill Cornell Medical College, New York, NY, United States of America.
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Kurian AW, Bedrosian I, Kohlmann WK, Somerfield MR, Robson ME. Germline Testing in Patients With Breast Cancer: ASCO-Society of Surgical Oncology Guideline Q and A. JCO Oncol Pract 2024; 20:466-471. [PMID: 38252903 DOI: 10.1200/op.23.00771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 12/06/2023] [Indexed: 01/24/2024] Open
Affiliation(s)
| | | | - Wendy K Kohlmann
- University of Utah Huntsman Cancer Institute, Salt Lake City, UT
| | | | - Mark E Robson
- Memorial Sloan Kettering Cancer Center, New York, NY
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Pinard A, Rajkovic A. Bridging the Genetic Divide: Ensuring Equitable Access to Neurologic Genetic Testing. Neurology 2024; 102:e209289. [PMID: 38447118 DOI: 10.1212/wnl.0000000000209289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 01/24/2024] [Indexed: 03/08/2024] Open
Affiliation(s)
- Amélie Pinard
- From the Department of Pathology (A.P., A.R.) and Institute of Human Genetics (A.R.), University of California, San Francisco
| | - Aleksandar Rajkovic
- From the Department of Pathology (A.P., A.R.) and Institute of Human Genetics (A.R.), University of California, San Francisco
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Baldwin A, Copeland J, Azage M, Dratch L, Johnson K, Paul RA, Amado DA, Baer M, Deik A, Elman LB, Guo M, Hamedani AG, Irwin DJ, Lasker A, Orthmann-Murphy J, Quinn CC, Tropea TF, Scherer SS, Shinohara RT, Hamilton RH, Ellis CA. Disparities in Genetic Testing for Neurologic Disorders. Neurology 2024; 102:e209161. [PMID: 38447117 DOI: 10.1212/wnl.0000000000209161] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 12/01/2023] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Genetic testing is now the standard of care for many neurologic conditions. Health care disparities are unfortunately widespread in the US health care system, but disparities in the utilization of genetic testing for neurologic conditions have not been studied. We tested the hypothesis that access to and results of genetic testing vary according to race, ethnicity, sex, socioeconomic status, and insurance status for adults with neurologic conditions. METHODS We analyzed retrospective data from patients who underwent genetic evaluation and testing through our institution's neurogenetics program. We tested for differences between demographic groups in 3 steps of a genetic evaluation pathway: (1) attending a neurogenetic evaluation, (2) completing genetic testing, and (3) receiving a diagnostic result. We compared patients on this genetic evaluation pathway with the population of all neurology outpatients at our institution, using univariate and multivariable logistic regression analyses. RESULTS Between 2015 and 2022, a total of 128,440 patients were seen in our outpatient neurology clinics and 2,540 patients underwent genetic evaluation. Black patients were less than half as likely as White patients to be evaluated (odds ratio [OR] 0.49, p < 0.001), and this disparity was similar after controlling for other demographic factors in multivariable analysis. Patients from the least wealthy quartile of zip codes were also less likely to be evaluated (OR 0.67, p < 0.001). Among patients who underwent evaluation, there were no disparities in the likelihood of completing genetic testing, nor in the likelihood of a diagnostic result after adjusting for age. Analyses restricted to specific indications for genetic testing supported these findings. DISCUSSION We observed unequal utilization of our clinical neurogenetics program for patients from marginalized and minoritized demographic groups, especially Black patients. Among patients who do undergo evaluation, all groups benefit similarly from genetic testing when it is indicated. Understanding and removing barriers to accessing genetic testing will be essential to health care equity and optimal care for all patients with neurologic disorders.
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Affiliation(s)
- Aaron Baldwin
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Juliette Copeland
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Meron Azage
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Laynie Dratch
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Kelsey Johnson
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Rachel A Paul
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Defne A Amado
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Michael Baer
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Andres Deik
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Lauren B Elman
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Michael Guo
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Ali G Hamedani
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - David J Irwin
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Aaron Lasker
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Jennifer Orthmann-Murphy
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Colin C Quinn
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Thomas F Tropea
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Steven S Scherer
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Russell T Shinohara
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Roy H Hamilton
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Colin A Ellis
- From the Department of Neurology (A.B., J.C., M.A., L.D., K.J., R.A.P., D.A.A., M.B., A.D., L.B.E., M.G., A.G.H., D.J.I., A.L., J.O.-M., C.C.Q., T.F.T., S.S.S., R.H.H., C.A.E.), Penn Statistics in Imaging and Visualization Center (PennSIVE) (R.T.S.), Department of Biostatistics, Epidemiology, and Informatics, and Center for Biomedical Image Computing and Analytics (R.T.S.), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
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10
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Liu YL, Gordhandas S, Arora K, Rios-Doria E, Cadoo KA, Catchings A, Maio A, Kemel Y, Sheehan M, Salo-Mullen E, Zhou Q, Iasonos A, Carrot-Zhang J, Manning-Geist B, Sia TY, Selenica P, Vanderbilt C, Misyura M, Latham A, Bandlamudi C, Berger MF, Hamilton JG, Makker V, Abu-Rustum NR, Ellenson LH, Offit K, Mandelker DL, Stadler Z, Weigelt B, Aghajanian C, Brown C. Pathogenic germline variants in patients with endometrial cancer of diverse ancestry. Cancer 2024; 130:576-587. [PMID: 37886874 PMCID: PMC10922155 DOI: 10.1002/cncr.35071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/04/2023] [Accepted: 08/10/2023] [Indexed: 10/28/2023]
Abstract
BACKGROUND Racial disparities in outcomes exist in endometrial cancer (EC). The contribution of ancestry-based variations in germline pathogenic variants (gPVs) is unknown. METHODS Germline assessment of ≥76 cancer predisposition genes was performed in patients with EC undergoing tumor-normal Memorial Sloan Kettering Cancer Center Integrated Mutation Profiling of Actionable Cancer Targets sequencing from January 1, 2015 through June 30, 2021. Self-reported race/ethnicity and Ashkenazi Jewish ancestry data classified patients into groups. Genetic ancestry was inferred from Memorial Sloan Kettering Cancer Center Integrated Mutation Profiling of Actionable Cancer Targets. Rates of gPV and genetic counseling were compared by ancestry. RESULTS Among 1625 patients with EC, 216 (13%) had gPVs; 15 had >1 gPV. Rates of gPV varied by self-reported ancestry (Ashkenazi Jewish, 40/202 [20%]; Asian, 15/124 [12%]; Black/African American (AA), 12/171 [7.0%]; Hispanic, 15/124 [12%]; non-Hispanic (NH) White, 129/927 [14%]; missing, 5/77 [6.5%]; p = .009], with similar findings by genetic ancestry (p < .001). We observed a lower likelihood of gPVs in patients of Black/AA (odds ratio [OR], 0.44; 95% CI, 0.22-0.81) and African (AFR) ancestry (OR, 0.42; 95% CI, 0.18-0.85) and a higher likelihood in patients of Ashkenazi Jewish genetic ancestry (OR, 1.62; 95% CI; 1.11-2.34) compared with patients of non-Hispanic White/European ancestry, even after adjustment for age and molecular subtype. Somatic landscape influenced gPVs with lower rates of microsatellite instability-high tumors in patients of Black/AA and AFR ancestry. Among those with newly identified gPVs (n = 114), 102 (89%) were seen for genetic counseling, with lowest rates among Black/AA (75%) and AFR patients (67%). CONCLUSIONS In those with EC, gPV and genetic counseling varied by ancestry, with lowest rates among Black/AA and AFR patients, potentially contributing to disparities in outcomes given implications for treatment and cancer prevention. PLAIN LANGUAGE SUMMARY Black women with endometrial cancer do worse than White women, and there are many reasons for this disparity. Certain genetic changes from birth (mutations) can increase the risk of cancer, and it is unknown if rates of these changes are different between different ancestry groups. Genetic mutations in 1625 diverse women with endometrial cancer were studied and the lowest rates of mutations and genetic counseling were found in Black and African ancestry women. This could affect their treatment options as well as their families and may make disparities worse.
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Affiliation(s)
- Ying L Liu
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Sushmita Gordhandas
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Kanika Arora
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Eric Rios-Doria
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Karen A Cadoo
- St. James's Hospital, Trinity St. James's Cancer Institute, Dublin, Ireland
| | - Amanda Catchings
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Anna Maio
- Sloan Kettering Institute, New York, New York, USA
| | - Yelena Kemel
- Sloan Kettering Institute, New York, New York, USA
| | - Margaret Sheehan
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Erin Salo-Mullen
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Qin Zhou
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Alexia Iasonos
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Jian Carrot-Zhang
- Department of Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Beryl Manning-Geist
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Tiffany Y Sia
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Pier Selenica
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Chad Vanderbilt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Maksym Misyura
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Alicia Latham
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Chaitanya Bandlamudi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Michael F Berger
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Jada G Hamilton
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Psychiatry, Weill Cornell Medical College, New York, New York, USA
| | - Vicky Makker
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Nadeem R Abu-Rustum
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, New York, USA
| | - Lora H Ellenson
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Diana L Mandelker
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Zsofia Stadler
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Britta Weigelt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Carol Aghajanian
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Carol Brown
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, New York, USA
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11
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Darko N, Millet N, Usman A, Teece L, Moss EL. Exploring the perspectives of underrepresented voices: Perceptions and experiences of uterine cancer for black African, Caribbean, black British, and mixed-black women in the UK to develop strategies for early symptom presentation. Gynecol Oncol 2024; 180:132-138. [PMID: 38091772 DOI: 10.1016/j.ygyno.2023.11.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 11/23/2023] [Accepted: 11/26/2023] [Indexed: 02/18/2024]
Abstract
OBJECTIVES The uterine cancer (UC) mortality rate in the UK is significantly higher for women who belong to a Black ethnic group compared to those from other ethnic groups. This study aimed to understand the views and experiences of UC amongst Black ethnic minority women in the UK, with a focus on awareness and presentation of red-flag symptoms. METHODS Women of Black African, Caribbean, Black British and Mixed-Black ethnicity were purposefully recruited to participate in focus groups and individual semi-structured interviews. RESULTS Twenty women from different regions in England participated in the study. Reflexive thematic analysis of the data led to the identification of three main themes: 1) Healthcare inequities; 2) Support and sense making with other Black women; and 3) Knowledge dissemination, mobilisation, and empowerment. Perceptions of inequitable healthcare provision and distrust influenced how participants, and their peer networks, approached seeking assistance from healthcare professionals. Concerns were also raised about culturally insensitive information resources, including issues of language, literacy, and representation, all of which served as potential barriers for women within Black ethnic minority groups. CONCLUSIONS The deficiency of targeted knowledge mobilisation and specific UC information aimed at Black ethnicity women living in the UK, reportedly contributes to the dissemination of misconceptions and an atmosphere of apprehension around a UC diagnosis. The insights from this study highlight the significance of designing culturally sensitive strategies to promote informed decision-making and empower the dissemination of accurate health knowledge amongst Black women.
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Affiliation(s)
- N Darko
- College of Life Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK.
| | - N Millet
- College of Life Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK
| | - A Usman
- College of Life Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK
| | - L Teece
- College of Life Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK
| | - E L Moss
- College of Life Sciences, University of Leicester, University Road, Leicester, LE1 7RH, UK; University Hospitals of Leicester NHS Trust, Infirmary Square, Leicester, LE1 5WW, UK
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12
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Murciano-Goroff YR, Suehnholz SP, Drilon A, Chakravarty D. Precision Oncology: 2023 in Review. Cancer Discov 2023; 13:2525-2531. [PMID: 38084089 PMCID: PMC10715685 DOI: 10.1158/2159-8290.cd-23-1194] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 10/20/2023] [Indexed: 12/18/2023]
Abstract
SUMMARY This article presents a review of recent major advances in precision oncology and the future implications of these advances, specifying the iterative progress achieved from the end of 2022 through 2023. We discuss the different classes of precision oncology drugs and associated biomarkers as well as the improvements in clinical trial design that have enabled the efficient testing of these drugs.
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Affiliation(s)
| | - Sarah P. Suehnholz
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Alexander Drilon
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Weill Cornell Medical College, New York, New York
| | - Debyani Chakravarty
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
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Golan T, Casolino R, Biankin AV, Hammel P, Whitaker KD, Hall MJ, Riegert-Johnson DL. Germline BRCA testing in pancreatic cancer: improving awareness, timing, turnaround, and uptake. Ther Adv Med Oncol 2023; 15:17588359231189127. [PMID: 37720496 PMCID: PMC10504836 DOI: 10.1177/17588359231189127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 07/04/2023] [Indexed: 09/19/2023] Open
Abstract
Prognosis is generally poor for patients with pancreatic ductal adenocarcinoma. However, patients with germline BRCA1 or BRCA2 mutations (gBRCAm) may benefit from first-line platinum-based chemotherapy and maintenance therapy with the poly(adenosine diphosphate-ribose) polymerase inhibitor olaparib following at least 16 weeks of first-line platinum-based chemotherapy without disease progression. Germline breast cancer gene (BRCA) testing is therefore important to ensure that patients receive the most effective treatment. In addition, testing for other DNA damage response gene mutations beyond gBRCAm may also guide treatment decisions. However, clinical pathways for genetic testing are often suboptimal, leading to delays in treatment initiation or missed opportunities for personalized therapy. Barriers to testing include low rates of referral and uptake, delays to referral and slow result turnaround times, cost, and biopsy and assay limitations if somatic testing is performed, leading to the requirement for subsequent dedicated germline testing. Low rates of referral may result from lack of awareness among physicians of the clinical value of testing, coupled with low confidence in interpreting test results and poor availability of genetic counseling services. Among patients, barriers to uptake may include similar lack of awareness of the clinical value of testing, anxiety regarding the implications of test results, lack of insurance coverage, fear of negative insurance implications, and socioeconomic factors. Potential solutions include innovative approaches to testing pathways, including 'mainstreaming' of testing in which BRCA tests are routinely arranged by the treating oncologist, with the involvement of genetic counselors if a patient is found to have a gBRCAm. More recently, the utility of multigene panel analyses has also been explored. Access to genetic counseling may also be improved through initiatives such as having a genetic counseling appointment for all new patient visits and telemedicine approaches, including the use of telephone consultations or DVD-assisted counseling. Educational programs will also be beneficial, and cost effectiveness is likely to improve as the number of targeted treatments increases and when the earlier detection of tumors in family members following cascade testing is considered.
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Affiliation(s)
- Talia Golan
- Institute of Oncology, Sheba Medical Center, Tel Hashomer 52621, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Raffaella Casolino
- Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Glasgow, UK
- Department of Medicine, University and Hospital Trust of Verona, Verona, Italy
| | - Andrew V. Biankin
- Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Glasgow, UK
- West of Scotland Pancreatic Unit, Glasgow Royal Infirmary, Glasgow, UK
- South Western Sydney Clinical School, Faculty of Medicine, University of New South Wales, Liverpool, Australia
| | - Pascal Hammel
- Department of Digestive and Medical Oncology, University Paris-Saclay, Paul Brousse Hospital (AP-HP), Villejuif, France
| | - Kristen D. Whitaker
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Michael J. Hall
- Department of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, PA, USA
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Sia TY, Maio A, Kemel YM, Arora KS, Gordhandas SB, Kahn RM, Salo-Mullen EE, Sheehan MA, Tejada PR, Bandlamudi C, Zhou Q, Iasonos A, Grisham RN, O'Cearbhaill RE, Tew WP, Roche KL, Zivanovic O, Sonoda Y, Gardner GJ, Chi DS, Latham AJ, Carlo MI, Murciano-Goroff YR, Will M, Walsh MF, Robson ME, Mandelker DL, Berger MF, Abu-Rustum NR, Brown CL, Offit K, Hamilton JG, Aghajanian C, Weigelt B, Stadler ZK, Liu YL. Germline Pathogenic Variants and Genetic Counseling by Ancestry in Patients With Epithelial Ovarian Cancer. JCO Precis Oncol 2023; 7:e2300137. [PMID: 37738546 PMCID: PMC10861001 DOI: 10.1200/po.23.00137] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 05/11/2023] [Accepted: 07/17/2023] [Indexed: 09/24/2023] Open
Abstract
PURPOSE To evaluate rates of germline pathogenic/likely pathogenic variants (PVs) and genetic counseling by ancestry in patients with epithelial ovarian cancer (EOC). METHODS Patients with pathologically confirmed EOC who underwent clinical tumor-normal sequencing from January 1, 2015, to December 31, 2020, inclusive of germline analysis of ≥76 genes were included. Patients with newly identified PVs were referred for Clinical Genetics Service (CGS) counseling. Ancestry groups were defined using self-reported race/ethnicity and Ashkenazi Jewish (AJ) heritage. Genetic ancestry was inferred computationally using validated algorithms. Logistic regression models were built. RESULTS Of 1,266 patients, self-reported ancestry (AJ, 17%; Asian, 10%; Black/African American, 5.4%; Hispanic, 6.2%; non-Hispanic White, 57%; other, 0.16%; unknown, 4.0%) correlated with genetic ancestry (AJ ancestry, 18%; admixed, 10%; African, 4%; East Asian [EAS], 6%; European, 56%; Native American, 0.2%; South Asian [SAS], 4%; unknown, 2%). Germline PVs were observed in 313 (25%) patients, including 195 (15%) with PVs in EOC-associated genes. Those with PVs were younger at diagnosis (59 v 62 years; P < .001) and more likely to have high-grade serous ovarian cancer (83% v 72%; P = .009). PV prevalence varied between ancestry groups (P < .001), with highest rates in the AJ (39.9%) and Asian (26.5%) groups and similar rates (>10%) across other ancestry groups. Use of genetic ancestry demonstrated similar findings and further characterized high rates of PV in EAS/SAS groups. Younger age, high-grade serous histology, and self-reported AJ or Asian ancestry were associated with PV in an EOC-associated gene. Rates of CGS counseling for newly identified PVs were high (80%) across ancestry groups. CONCLUSION Rates of PV, particularly in EOC-associated genes, were high regardless of ancestry, with similar rates of counseling between groups, emphasizing the importance of universal genetic testing in all patients with EOC.
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Affiliation(s)
- Tiffany Y. Sia
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Anna Maio
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Yelena M. Kemel
- Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kanika S. Arora
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Sushmita B. Gordhandas
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ryan M. Kahn
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Erin E. Salo-Mullen
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Margaret A. Sheehan
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Prince Rainier Tejada
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Chaitanya Bandlamudi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Qin Zhou
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Alexia Iasonos
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Rachel N. Grisham
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, NY
| | - Roisin E. O'Cearbhaill
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, NY
| | - William P. Tew
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, NY
| | - Kara Long Roche
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY
| | - Oliver Zivanovic
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY
| | - Yukio Sonoda
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY
| | - Ginger J. Gardner
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY
| | - Dennis S. Chi
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY
| | - Alicia J. Latham
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, NY
| | - Maria I. Carlo
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, NY
| | - Yonina R. Murciano-Goroff
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, NY
| | - Marie Will
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, NY
| | - Michael F. Walsh
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, NY
| | - Mark E. Robson
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, NY
| | - Diana L. Mandelker
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Michael F. Berger
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Nadeem R. Abu-Rustum
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY
| | - Carol L. Brown
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, NY
| | - Jada G. Hamilton
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Psychiatry, Weill Cornell Medical College, New York, NY
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Carol Aghajanian
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, NY
| | - Britta Weigelt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Zsofia K. Stadler
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, NY
| | - Ying L. Liu
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, NY
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15
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Colvin A, Petukhova L. Inborn Errors of Immunity in Hidradenitis Suppurativa Pathogenesis and Disease Burden. J Clin Immunol 2023; 43:1040-1051. [PMID: 37204644 DOI: 10.1007/s10875-023-01518-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 05/10/2023] [Indexed: 05/20/2023]
Abstract
Hidradenitis suppurativa (HS), also known as Verneuil's disease and acne inversa, is a prevalent, debilitating, and understudied inflammatory skin disease. It is marked by repeated bouts of pathological inflammation causing pain, hyperplasia, aberrant healing, and fibrosis. HS is difficult to manage and has many unmet medical needs. There is clinical and pharmacological evidence for extensive etiological heterogeneity with HS, suggesting that this clinical diagnosis is capturing a spectrum of disease entities. Human genetic studies provide robust insight into disease pathogenesis. They also can be used to resolve etiological heterogeneity and to identify drug targets. However, HS has not been extensively investigated with well-powered genetic studies. Here, we review what is known about its genetic architecture. We identify overlap in molecular, cellular, and clinical features between HS and inborn errors of immunity (IEI). This evidence indicates that HS may be an underrecognized component of IEI and suggests that undiagnosed IEI are present in HS cohorts. Inborn errors of immunity represent a salient opportunity for rapidly resolving the immunological landscape of HS pathogenesis, for prioritizing drug repurposing studies, and for improving the clinical management of HS.
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Affiliation(s)
- Annelise Colvin
- Vagelos College of Physicians and Surgeons, Columbia University, New York City, NY, USA
| | - Lynn Petukhova
- Department of Dermatology, Vagelos College of Physicians & Surgeons, Columbia University, New York City, NY, USA.
- Department of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, #527, York City, NY, USA.
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16
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Sia TY, Gordhandas SB, Birsoy O, Kemel Y, Maio A, Salo-Mullen E, Sheehan M, Hensley ML, Rubinstein M, Makker V, Grisham RN, O'Cearbhaill RE, Roche KL, Mueller JJ, Leitao MM, Sonoda Y, Chi DS, Abu-Rustum NR, Berger MF, Ellenson LH, Latham A, Stadler Z, Offit K, Aghajanian C, Weigelt B, Mandelker D, Liu YL. Germline drivers of gynecologic carcinosarcomas. Gynecol Oncol 2023; 174:34-41. [PMID: 37149903 PMCID: PMC10330315 DOI: 10.1016/j.ygyno.2023.04.024] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 04/21/2023] [Accepted: 04/24/2023] [Indexed: 05/09/2023]
Abstract
OBJECTIVES To describe the prevalence of germline pathogenic variants (gPVs) in endometrial and ovarian carcinosarcomas and determine if gPVs are drivers of carcinosarcoma. METHODS Patients with endometrial or ovarian carcinosarcomas who underwent clinical tumor-normal sequencing from 1/1/2015 to 6/1/2021 and consented to germline assessment of ≥76 cancer predisposition genes were included. In patients with gPVs, biallelic inactivation was identified through analysis of loss of heterozygosity and somatic pathogenic alterations. RESULTS Of 216 patients identified, 167 (77%) were diagnosed with endometrial carcinosarcoma and 49 (23%) with ovarian carcinosarcoma. Overall, 33 gPVs were observed in 29 patients (13%); 20 gPVs (61%) had biallelic loss in tumors. The rate of high-penetrance gPVs overall was 7% (16 of 216); 88% of high-penetrance gPVs had biallelic loss. In the endometrial carcinosarcoma cohort, 22 gPVs were found in 19 (11%) of 167 patients; 12 gPVs (55%) had biallelic loss in tumors, including 8 (89%) of 9 in high-penetrance gPVs. Among the ovarian carcinosarcoma cohort, 11 gPVs were found in 10 (20%) of 49 patients; 8 gPVs (73%) had biallelic loss in tumors, and all evaluable high-penetrance gPVs (n = 6) had biallelic loss. All gPVs in homologous recombination (BRCA1, BRCA2, RAD51C) and Lynch syndrome (MSH2, MSH6) genes had biallelic loss in tumors (n = 15). CONCLUSIONS gPVs in genes affecting homologous recombination- or Lynch-associated mismatch repair exhibited biallelic inactivation within tumors, suggesting likely drivers of gynecologic carcinosarcoma. Our data support germline testing for patients with gynecologic carcinosarcomas, given implications for treatment and risk-reduction in patients and at-risk family members.
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Affiliation(s)
- Tiffany Y Sia
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sushmita B Gordhandas
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ozge Birsoy
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yelena Kemel
- Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anna Maio
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Erin Salo-Mullen
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Margaret Sheehan
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Martee L Hensley
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Maria Rubinstein
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Vicky Makker
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Rachel N Grisham
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Roisin E O'Cearbhaill
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Kara Long Roche
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY, USA
| | - Jennifer J Mueller
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY, USA
| | - Mario M Leitao
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY, USA
| | - Yukio Sonoda
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY, USA
| | - Dennis S Chi
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY, USA
| | - Nadeem R Abu-Rustum
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Obstetrics and Gynecology, Weill Cornell Medical College, New York, NY, USA
| | - Michael F Berger
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lora H Ellenson
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alicia Latham
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Zsofia Stadler
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Carol Aghajanian
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Britta Weigelt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Diana Mandelker
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ying L Liu
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA.
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