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Jiagge E, Jin DX, Newberg JY, Perea-Chamblee T, Pekala KR, Fong C, Waters M, Ma D, Dei-Adomakoh Y, Erb G, Arora KS, Maund SL, Njiraini N, Ntekim A, Kim S, Bai X, Thomas M, van Eeden R, Hegde P, Jee J, Chakravarty D, Schultz N, Berger MF, Frampton GM, Sokol ES, Carrot-Zhang J. Tumor sequencing of African ancestry reveals differences in clinically relevant alterations across common cancers. Cancer Cell 2023; 41:1963-1971.e3. [PMID: 37890492 DOI: 10.1016/j.ccell.2023.10.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 08/02/2023] [Accepted: 10/04/2023] [Indexed: 10/29/2023]
Abstract
Cancer genomes from patients with African (AFR) ancestry have been poorly studied in clinical research. We leverage two large genomic cohorts to investigate the relationship between genomic alterations and AFR ancestry in six common cancers. Cross-cancer type associations, such as an enrichment of MYC amplification with AFR ancestry in lung, breast, and prostate cancers, and depletion of BRAF alterations are observed in colorectal and pancreatic cancers. There are differences in actionable alterations, such as depletion of KRAS G12C and EGFR L858R, and enrichment of ROS1 fusion with AFR ancestry in lung cancers. Interestingly, in lung cancer, KRAS mutations are less common in both smokers and non-smokers with AFR ancestry, whereas the association of TP53 mutations with AFR ancestry is only seen in smokers, suggesting an ancestry-environment interaction that modifies driver rates. Our study highlights the need to increase representation of patients with AFR ancestry in drug development and biomarker discovery.
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Affiliation(s)
- Evelyn Jiagge
- Hematology/Oncology Division, Department of Medicine, Henry Ford Health System, Detroit, MI, USA.
| | - Dexter X Jin
- Computational Discovery, Foundation Medicine, Inc., Cambridge, MA, USA.
| | - Justin Y Newberg
- Computational Discovery, Foundation Medicine, Inc., Cambridge, MA, USA
| | - Tomin Perea-Chamblee
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kelly R Pekala
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Christopher Fong
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michele Waters
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David Ma
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Gilles Erb
- Global Product Development Medical Affairs - Oncology, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Kanika S Arora
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer, New York, NY, USA
| | - Sophia L Maund
- Computational Sciences, Genentech, Inc., South San Francisco, CA, USA
| | - Njoki Njiraini
- Department of Oncology, Kenyatta University Teaching Research and Referral Hospital, Nairobi, Kenya
| | - Atara Ntekim
- Department of Radiation Oncology, University of Ibadan, Ibadan, Nigeria
| | - Susie Kim
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Xuechun Bai
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marlene Thomas
- Global Product Development Medical Affairs - Oncology, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Ronwyn van Eeden
- Department of Medical Oncology, Chris Hani Academic Baragwanath Hospital, Johannesburg, South Africa
| | - Priti Hegde
- Computational Discovery, Foundation Medicine, Inc., Cambridge, MA, USA
| | - Justin Jee
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Debyani Chakravarty
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer, New York, NY, USA; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nikolaus Schultz
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael F Berger
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer, New York, NY, USA; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Ethan S Sokol
- Computational Discovery, Foundation Medicine, Inc., Cambridge, MA, USA
| | - Jian Carrot-Zhang
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Clinial Genetics, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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2
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Nassar AH, Adib E, Abou Alaiwi S, El Zarif T, Groha S, Akl EW, Nuzzo PV, Mouhieddine TH, Perea-Chamblee T, Taraszka K, El-Khoury H, Labban M, Fong C, Arora KS, Labaki C, Xu W, Sonpavde G, Haddad RI, Mouw KW, Giannakis M, Hodi FS, Zaitlen N, Schoenfeld AJ, Schultz N, Berger MF, MacConaill LE, Ananda G, Kwiatkowski DJ, Choueiri TK, Schrag D, Carrot-Zhang J, Gusev A. Ancestry-driven recalibration of tumor mutational burden and disparate clinical outcomes in response to immune checkpoint inhibitors. Cancer Cell 2022; 40:1161-1172.e5. [PMID: 36179682 PMCID: PMC9559771 DOI: 10.1016/j.ccell.2022.08.022] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 07/01/2022] [Accepted: 08/18/2022] [Indexed: 01/28/2023]
Abstract
The immune checkpoint inhibitor (ICI) pembrolizumab is US FDA approved for treatment of solid tumors with high tumor mutational burden (TMB-high; ≥10 variants/Mb). However, the extent to which TMB-high generalizes as an accurate biomarker in diverse patient populations is largely unknown. Using two clinical cohorts, we investigated the interplay between genetic ancestry, TMB, and tumor-only versus tumor-normal paired sequencing in solid tumors. TMB estimates from tumor-only panels substantially overclassified individuals into the clinically important TMB-high group due to germline contamination, and this bias was particularly pronounced in patients with Asian/African ancestry. Among patients with non-small cell lung cancer treated with ICIs, those misclassified as TMB-high from tumor-only panels did not associate with improved outcomes. TMB-high was significantly associated with improved outcomes only in European ancestries and merits validation in non-European ancestry populations. Ancestry-aware tumor-only TMB calibration and ancestry-diverse biomarker studies are critical to ensure that existing disparities are not exacerbated in precision medicine.
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Affiliation(s)
- Amin H Nassar
- Department of Hematology/Oncology, Yale New Haven Hospital, New Haven, CT 06510, USA; Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Elio Adib
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Sarah Abou Alaiwi
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Talal El Zarif
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Stefan Groha
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Elie W Akl
- Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Pier Vitale Nuzzo
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Tarek H Mouhieddine
- Division of Hematology and Medical Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, USA
| | - Tomin Perea-Chamblee
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Kodi Taraszka
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Habib El-Khoury
- Center for Prevention of Progression of Blood Cancers, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Muhieddine Labban
- Department of Urologic Surgery, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Christopher Fong
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Kanika S Arora
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Chris Labaki
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Wenxin Xu
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Guru Sonpavde
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Robert I Haddad
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Kent W Mouw
- Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - F Stephen Hodi
- Melanoma Center, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Noah Zaitlen
- Department of Computational Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Adam J Schoenfeld
- Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, 1275 York Avenue, New York, NY 10065, USA
| | - Nikolaus Schultz
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Michael F Berger
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Laura E MacConaill
- Department of Pathology, Brigham and Women's Hospital, Boston, MA 02115, USA; Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Guruprasad Ananda
- Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | | | - Toni K Choueiri
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Deborah Schrag
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jian Carrot-Zhang
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Alexander Gusev
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
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Bandlamudi C, Chatila WK, Smith SA, Nandakumar S, Bielski C, Nguyen B, Walch HS, Kreitzer CK, Arora KS, Ngoc TT, Mehine M, Ostrovnaya I, de Bruijn I, Woo HJ, Kundra R, Fong CJ, Rana S, Zhao G, Zhang M, Zucker MR, Zhang H, Ptashkin R, Brannon R, Reznik E, Gao J, Arcila ME, Benayed R, Chakravarty D, Solit D, Donoghue MT, Ladanyi M, Schultz ND, Berger MF, Zehir A. Abstract 3628: Comprehensive identification of lineage associated cancer genes in 122 histologies. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-3628] [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
Although the majority of cancer genes show a high degree of specificity for certain lineages, genomic profiling of cancer patients routinely identify alterations in genes that are atypical to the presented cancer type but are canonical drivers in a different lineage. It is often unclear if these atypical drivers arose early in tumorigenesis or were acquired during progression. A complete understanding of lineage associated genes (LAGs) will enable better interpretation of the molecular etiology of each diagnosed tumor.
Here, we used a cohort of 38,912 patients across 122 cancer histologies (each with 50 or more patients) profiled for somatic alterations (mutations, copy number alterations and gene fusions) using the MSK-IMPACT assay. Tumors with TMB > 15 were already excluded. All alterations were classified as drivers using OncoKB. Allele-specific copy number calls were assessed using FACETS.
Overall, 95% of patients harbored at least one oncogenic alteration, with a median of 4 drivers per tumor. We observed widespread prevalence of drivers across lineages with each gene mutated in a median of 36 different lineages. Conversely, a median of 103 genes were mutated at least once in each lineage. Hypothesizing that cancer genes are influenced by cell of origin, we sought to identify lineages harboring significantly higher rates of drivers in a given gene compared to its pancancer driver rate. We identified 1781 significant (adjusted P < 0.05) gene and lineage associations, and an additional 109 involving genes mutated at >10% in the respective lineages but which did not reach significance were also included. Lineage-agnostic genes such as TP53 and CDKN2A were associated with a broad spectrum of lineages (90 and 55, respectively). However, overall, each gene we profiled was found to be associated with a median of 3 distinct lineages. For example, while BRAF drivers are found in nearly all histologies (n=91), it is enriched for drivers in only 8 lineages: melanoma (acral and cutaneous), thyroid (poorly differentiated, anaplastic and papillary) and bowel (mucinous adenocarc. of colon/rectum, colon adenocarc. and neuroendocrine carc. of colon/rectum). In all, nearly a third of all drivers were observed in non-associated lineages.
We next compared the somatic properties of drivers among genes in associated lineages vs. the same genes in non-associated lineages. We observed that mutations in LAGs were more often clonal (83% vs. 73%, associated vs. non-associated, P = 0) and showed enrichment for mutant allele imbalance in oncogenes (40% vs. 23%, P = 2e-111) and biallelic inactivation in tumor suppressor LAGs (71% vs. 58%, P = 4e-130). Furthermore, 93% of all OncoKB Level 1/2/3A actionable alterations, which are classified based on their histology, were in LAGs. In conclusion, our findings enable classification of drivers that are relevant for lineage-specific malignant transformation and advance our understanding of tumor biology.
Citation Format: Chaitanya Bandlamudi, Walid K. Chatila, Shaleigh A. Smith, Subhiksha Nandakumar, Craig Bielski, Bastien Nguyen, Henry S. Walch, Christoph K. Kreitzer, Kanika S. Arora, Tran Thinh Ngoc, Miika Mehine, Irina Ostrovnaya, Ino de Bruijn, Hyung Jun Woo, Ritika Kundra, Christopher J. Fong, Satshil Rana, Gaofei Zhao, Mingxuan Zhang, Mark R. Zucker, Hongxin Zhang, Ryan Ptashkin, Rose Brannon, Eduard Reznik, JianJiong Gao, Maria E. Arcila, Ryma Benayed, Debyani Chakravarty, David Solit, Mark T. Donoghue, Marc Ladanyi, Nikolaus D. Schultz, Michael F. Berger, Ahmet Zehir. Comprehensive identification of lineage associated cancer genes in 122 histologies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3628.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Miika Mehine
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Ino de Bruijn
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - Hyung Jun Woo
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ritika Kundra
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Satshil Rana
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - Gaofei Zhao
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | - Hongxin Zhang
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ryan Ptashkin
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - Rose Brannon
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - Eduard Reznik
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - JianJiong Gao
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Ryma Benayed
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - David Solit
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Marc Ladanyi
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | - Ahmet Zehir
- 1Memorial Sloan Kettering Cancer Center, New York, NY
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5
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Zhao Y, Murciano-Goroff YR, Xue JY, Ang A, Lucas J, Mai TT, Da Cruz Paula AF, Saiki AY, Mohn D, Achanta P, Sisk AE, Arora KS, Roy RS, Kim D, Li C, Lim LP, Li M, Bahr A, Loomis BR, de Stanchina E, Reis-Filho JS, Weigelt B, Berger M, Riely G, Arbour KC, Lipford JR, Li BT, Lito P. Diverse alterations associated with resistance to KRAS(G12C) inhibition. Nature 2021; 599:679-683. [PMID: 34759319 DOI: 10.1038/s41586-021-04065-2] [Citation(s) in RCA: 152] [Impact Index Per Article: 50.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 09/27/2021] [Indexed: 01/29/2023]
Abstract
Inactive state-selective KRAS(G12C) inhibitors1-8 demonstrate a 30-40% response rate and result in approximately 6-month median progression-free survival in patients with lung cancer9. The genetic basis for resistance to these first-in-class mutant GTPase inhibitors remains under investigation. Here we evaluated matched pre-treatment and post-treatment specimens from 43 patients treated with the KRAS(G12C) inhibitor sotorasib. Multiple treatment-emergent alterations were observed across 27 patients, including alterations in KRAS, NRAS, BRAF, EGFR, FGFR2, MYC and other genes. In preclinical patient-derived xenograft and cell line models, resistance to KRAS(G12C) inhibition was associated with low allele frequency hotspot mutations in KRAS(G12V or G13D), NRAS(Q61K or G13R), MRAS(Q71R) and/or BRAF(G596R), mirroring observations in patients. Single-cell sequencing in an isogenic lineage identified secondary RAS and/or BRAF mutations in the same cells as KRAS(G12C), where they bypassed inhibition without affecting target inactivation. Genetic or pharmacological targeting of ERK signalling intermediates enhanced the antiproliferative effect of G12C inhibitor treatment in models with acquired RAS or BRAF mutations. Our study thus suggests a heterogenous pattern of resistance with multiple subclonal events emerging during G12C inhibitor treatment. A subset of patients in our cohort acquired oncogenic KRAS, NRAS or BRAF mutations, and resistance in this setting may be delayed by co-targeting of ERK signalling intermediates. These findings merit broader evaluation in prospective clinical trials.
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Affiliation(s)
- Yulei Zhao
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer, New York, NY, USA
| | | | - Jenny Y Xue
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer, New York, NY, USA.,Weill Cornell-Rockefeller-Sloan Kettering Tri-Institutional MD-PhD Program, New York, NY, USA
| | | | - Jessica Lucas
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer, New York, NY, USA
| | - Trang T Mai
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer, New York, NY, USA
| | | | | | | | | | - Ann E Sisk
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kanika S Arora
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rohan S Roy
- Weill Cornell-Rockefeller-Sloan Kettering Tri-Institutional MD-PhD Program, New York, NY, USA
| | - Dongsung Kim
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer, New York, NY, USA
| | - Chuanchuan Li
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer, New York, NY, USA
| | - Lee P Lim
- Resolution Bioscience, Kirkland, WA, USA
| | - Mark Li
- Resolution Bioscience, Kirkland, WA, USA
| | - Amber Bahr
- Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Brian R Loomis
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Elisa de Stanchina
- Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jorge S Reis-Filho
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Britta Weigelt
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael Berger
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Gregory Riely
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kathryn C Arbour
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Bob T Li
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Piro Lito
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer, New York, NY, USA. .,Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA. .,Weill Cornell-Rockefeller-Sloan Kettering Tri-Institutional MD-PhD Program, New York, NY, USA. .,Department of Medicine, Weill Cornell Medical College, New York, NY, USA.
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Modgil R, Arora KS, Sharma A, Mohapatra S, Pareek S. Cleidocranial Dysplasia: Presentation of Clinical and Radiological Features of a Rare Syndromic Entity. Mymensingh Med J 2018; 27:424-428. [PMID: 29769514] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Cleidocranial dysplasia is a developmental anomaly of the skeleton and the teeth. This condition may be inherited and be transmitted as dominant characteristics in either gender, or may appear spontaneously. It presents with skeletal defects of several bones, such as partial or complete absence of clavicles, late closure of the fontanels, presence of open skull sutures and multiple wormian bones. The dental manifestations are mainly delayed exfoliation of primary teeth and delayed eruption of permanent teeth with multiple impacted supernumerary teeth. This case of a 20 year old girl is noteworthy to the dentist as it deals with clinical and radiological features (a high number of impacted and supernumerary teeth as well as brachycephaly, frontal bossing and hypermobility of shoulders) which may come handy in clinical practice.
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Affiliation(s)
- R Modgil
- Dr Richa Modgil, Senior Lecturer, Department of Oral Medicine and Radiology, Eklavya Dental College & Hospital, Kotputli, Jaipur, Rajasthan, India
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Gupta N, Arora M, Sharma R, Arora KS. Peripheral and Central Nervous System Involvement in Recently Diagnosed Cases of Hypothyroidism: An Electrophysiological Study. Ann Med Health Sci Res 2016; 6:261-266. [PMID: 28503341 PMCID: PMC5414436 DOI: 10.4103/amhsr.amhsr_39_16] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [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] [Indexed: 11/16/2022] Open
Abstract
Background: Hypothyroidism, one of the most common endocrine disorders, may induce neurological abnormalities at an early stage of the disease. Aim: The study was designed to assess the electrophysiological alterations of some selected variables of nerve conduction, brainstem auditory evoked potentials (BAEPs), and visual evoked potentials (VEPs) in hypothyroid patients. Subjects and Methods: Sixty patients of newly diagnosed hypothyroidism and an equal number of age-matched controls were selected for the study. Nerve conduction studies that included parameters as latencies, conduction velocities, and amplitude of motor nerves, i.e., median, ulnar, common peroneal, tibial nerve, and sensory nerves, i.e., median and sural nerves was performed in both hypothyroid patients and controls. Further, BAEPs and VEPs of all the patients were done. The data were compiled and statistically analyzed using Student's unpaired t-test to observe any electrophysiological alterations in hypothyroid patients as compared to healthy controls. Results: On comparative evaluation, statistically significant increase in latency of median, ulnar, tibial, and sural nerves; decrease in conduction velocities of all the tested nerves and decrease in amplitude of median, tibial, and sural nerves was observed in hypothyroid patients. Statistically significant increase in latencies, interpeak latencies, and decrease in amplitudes of BAEP waves and statistically significant increase in P100 latency of VEP was seen in hypothyroid patients. Conclusion: The results of our study suggest that peripheral and central neuropathy develops in patients of hypothyroidism at an early stage of disease and the electrophysiological investigations of such patients can help in timely detection and treatment of neurological disorders that occur due to thyroid hormone deficiency.
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Affiliation(s)
- N Gupta
- Department of Physiology, Guru Gobind Singh Medical College, Faridkot, Punjab, India
| | - M Arora
- Department of Medicine, Guru Gobind Singh Medical College, Faridkot, Punjab, India
| | - R Sharma
- Department of Physiology, Guru Gobind Singh Medical College, Faridkot, Punjab, India
| | - K S Arora
- Department of Physiology, Dasmesh Institute of Research and Dental Sciences, Faridkot, Punjab, India
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Arora KS. Lessons learned in breast cancer surgery (Br J Surg 2014; 101: 145-147). Br J Surg 2014; 101:1032. [PMID: 24915796 DOI: 10.1002/bjs.9558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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