Literature DB >> 35213415

Tumor mutational burden and somatic mutation status to predict disease recurrence in advanced melanoma.

Meghan J Hotz1,2, Eileen A O'Halloran3, Maureen V Hill4, Kelly Hayden1,2, Angela G Zaladonis1,2, Mengying Deng5, Anthony J Olszanski6, Sanjay S Reddy1, Hong Wu7, Biao Luo8, Jeffrey M Farma1.   

Abstract

Tumor mutational burden (TMB) has recently been identified as a biomarker of response to immune checkpoint inhibitors in many cancers, including melanoma. Co-assessment of TMB with inflammatory markers and genetic mutations may better predict disease outcomes. The goal of this study was to evaluate the potential for TMB and somatic mutations in combination to predict the recurrence of disease in advanced melanoma. A retrospective review of 85 patients with stage III or IV melanoma whose tumors were analyzed by next-generation sequencing was conducted. Fisher's exact test was used to assess differences in TMB category by somatic mutation status as well as recurrence locations. Kaplan-Meier estimates and Cox-proportional regression model were used for survival analyses. The most frequently detected mutations were TERT (32.9%), CDKN2A (28.2%), KMT2 (25.9%), BRAF V600E (24.7%), and NRAS (24.7%). Patients with TMB-L + BRAFWT status were more likely to have a recurrence [hazard ratio (HR), 3.43; confidence interval (CI), 1.29-9.15; P = 0.01] compared to TMB-H + BRAF WT. Patients with TMB-L + NRASmut were more likely to have a recurrence (HR, 5.29; 95% CI, 1.44-19.45; P = 0.01) compared to TMB-H + NRAS WT. TMB-L tumors were associated with local (P = 0.029) and in-transit (P = 0.004) recurrences. Analysis of TMB alone may be insufficient in understanding the relationship between melanoma's molecular profile and the body's immune system. Classification into BRAFmut, NRASmut, and tumor mutational load groups may aid in identifying patients who are more likely to have disease recurrence in advanced melanoma.
Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.

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Year:  2022        PMID: 35213415      PMCID: PMC9109603          DOI: 10.1097/CMR.0000000000000808

Source DB:  PubMed          Journal:  Melanoma Res        ISSN: 0960-8931            Impact factor:   3.599


  25 in total

1.  Distinguishing clinicopathologic features of patients with V600E and V600K BRAF-mutant metastatic melanoma.

Authors:  Alexander M Menzies; Lauren E Haydu; Lydia Visintin; Matteo S Carlino; Julie R Howle; John F Thompson; Richard F Kefford; Richard A Scolyer; Georgina V Long
Journal:  Clin Cancer Res       Date:  2012-04-24       Impact factor: 12.531

2.  Efficacy and Safety of Pembrolizumab in Previously Treated Advanced Cervical Cancer: Results From the Phase II KEYNOTE-158 Study.

Authors:  Hyun Cheol Chung; Willeke Ros; Jean-Pierre Delord; Ruth Perets; Antoine Italiano; Ronnie Shapira-Frommer; Lyudmila Manzuk; Sarina A Piha-Paul; Lei Xu; Susan Zeigenfuss; Scott K Pruitt; Alexandra Leary
Journal:  J Clin Oncol       Date:  2019-04-03       Impact factor: 44.544

3.  Adjuvant dabrafenib plus trametinib versus placebo in patients with resected, BRAFV600-mutant, stage III melanoma (COMBI-AD): exploratory biomarker analyses from a randomised, phase 3 trial.

Authors:  Reinhard Dummer; Jan C Brase; James Garrett; Catarina D Campbell; Eduard Gasal; Matthew Squires; Daniel Gusenleitner; Mario Santinami; Victoria Atkinson; Mario Mandalà; Vanna Chiarion-Sileni; Keith Flaherty; James Larkin; Caroline Robert; Richard Kefford; John M Kirkwood; Axel Hauschild; Dirk Schadendorf; Georgina V Long
Journal:  Lancet Oncol       Date:  2020-01-30       Impact factor: 41.316

4.  Tumor mutational burden and driver mutations: Characterizing the genomic landscape of pediatric brain tumors.

Authors:  Roshal R Patel; Shakti H Ramkissoon; Jeffrey Ross; Lauren Weintraub
Journal:  Pediatr Blood Cancer       Date:  2020-05-09       Impact factor: 3.167

5.  Efficacy of Pembrolizumab in Patients With Noncolorectal High Microsatellite Instability/Mismatch Repair-Deficient Cancer: Results From the Phase II KEYNOTE-158 Study.

Authors:  Aurelien Marabelle; Dung T Le; Paolo A Ascierto; Anna Maria Di Giacomo; Ana De Jesus-Acosta; Jean-Pierre Delord; Ravit Geva; Maya Gottfried; Nicolas Penel; Aaron R Hansen; Sarina A Piha-Paul; Toshihiko Doi; Bo Gao; Hyun Cheol Chung; Jose Lopez-Martin; Yung-Jue Bang; Ronnie Shapira Frommer; Manisha Shah; Razi Ghori; Andrew K Joe; Scott K Pruitt; Luis A Diaz
Journal:  J Clin Oncol       Date:  2019-11-04       Impact factor: 44.544

6.  Pembrolizumab versus Chemotherapy for PD-L1-Positive Non-Small-Cell Lung Cancer.

Authors:  Martin Reck; Delvys Rodríguez-Abreu; Andrew G Robinson; Rina Hui; Tibor Csőszi; Andrea Fülöp; Maya Gottfried; Nir Peled; Ali Tafreshi; Sinead Cuffe; Mary O'Brien; Suman Rao; Katsuyuki Hotta; Melanie A Leiby; Gregory M Lubiniecki; Yue Shentu; Reshma Rangwala; Julie R Brahmer
Journal:  N Engl J Med       Date:  2016-10-08       Impact factor: 91.245

7.  Tumor mutational load predicts survival after immunotherapy across multiple cancer types.

Authors:  Robert M Samstein; Chung-Han Lee; Alexander N Shoushtari; Matthew D Hellmann; Ronglai Shen; Yelena Y Janjigian; David A Barron; Ahmet Zehir; Emmet J Jordan; Antonio Omuro; Thomas J Kaley; Sviatoslav M Kendall; Robert J Motzer; A Ari Hakimi; Martin H Voss; Paul Russo; Jonathan Rosenberg; Gopa Iyer; Bernard H Bochner; Dean F Bajorin; Hikmat A Al-Ahmadie; Jamie E Chaft; Charles M Rudin; Gregory J Riely; Shrujal Baxi; Alan L Ho; Richard J Wong; David G Pfister; Jedd D Wolchok; Christopher A Barker; Philip H Gutin; Cameron W Brennan; Viviane Tabar; Ingo K Mellinghoff; Lisa M DeAngelis; Charlotte E Ariyan; Nancy Lee; William D Tap; Mrinal M Gounder; Sandra P D'Angelo; Leonard Saltz; Zsofia K Stadler; Howard I Scher; Jose Baselga; Pedram Razavi; Christopher A Klebanoff; Rona Yaeger; Neil H Segal; Geoffrey Y Ku; Ronald P DeMatteo; Marc Ladanyi; Naiyer A Rizvi; Michael F Berger; Nadeem Riaz; David B Solit; Timothy A Chan; Luc G T Morris
Journal:  Nat Genet       Date:  2019-01-14       Impact factor: 38.330

8.  Pan-tumor genomic biomarkers for PD-1 checkpoint blockade-based immunotherapy.

Authors:  Razvan Cristescu; Robin Mogg; Mark Ayers; Andrew Albright; Erin Murphy; Jennifer Yearley; Xinwei Sher; Xiao Qiao Liu; Hongchao Lu; Michael Nebozhyn; Chunsheng Zhang; Jared K Lunceford; Andrew Joe; Jonathan Cheng; Andrea L Webber; Nageatte Ibrahim; Elizabeth R Plimack; Patrick A Ott; Tanguy Y Seiwert; Antoni Ribas; Terrill K McClanahan; Joanne E Tomassini; Andrey Loboda; David Kaufman
Journal:  Science       Date:  2018-10-12       Impact factor: 47.728

9.  FDA Approval Summary: Pembrolizumab for the Treatment of Tumor Mutational Burden-High Solid Tumors.

Authors:  Leigh Marcus; Lola A Fashoyin-Aje; Martha Donoghue; Mengdie Yuan; Lisa Rodriguez; Pamela S Gallagher; Reena Philip; Soma Ghosh; Marc R Theoret; Julia A Beaver; Richard Pazdur; Steven J Lemery
Journal:  Clin Cancer Res       Date:  2021-06-03       Impact factor: 13.801

10.  Large-scale analysis of KMT2 mutations defines a distinctive molecular subset with treatment implication in gastric cancer.

Authors:  Jingyuan Wang; Joanne Xiu; Yasmine Baca; Francesca Battaglin; Hiroyuki Arai; Natsuko Kawanishi; Shivani Soni; Wu Zhang; Joshua Millstein; Bodour Salhia; Richard M Goldberg; Philip A Philip; Andreas Seeber; Jimmy J Hwang; Anthony F Shields; John L Marshall; Igor Astsaturov; A Craig Lockhart; Zoran Gatalica; W Michael Korn; Heinz-Josef Lenz
Journal:  Oncogene       Date:  2021-06-23       Impact factor: 9.867

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  1 in total

1.  A novel inflammatory response-related signature predicts the prognosis of cutaneous melanoma and the effect of antitumor drugs.

Authors:  Jiahua Xing; Yan Li; Youbai Chen; Yan Han
Journal:  World J Surg Oncol       Date:  2022-08-19       Impact factor: 3.253

  1 in total

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