Literature DB >> 28835386

Tumor Mutational Burden as an Independent Predictor of Response to Immunotherapy in Diverse Cancers.

Aaron M Goodman1,2,3, Shumei Kato4,2, Lyudmila Bazhenova4, Sandip P Patel4, Garrett M Frampton5, Vincent Miller5, Philip J Stephens5, Gregory A Daniels4, Razelle Kurzrock4,2.   

Abstract

Immunotherapy induces durable responses in a subset of patients with cancer. High tumor mutational burden (TMB) may be a response biomarker for PD-1/PD-L1 blockade in tumors such as melanoma and non-small cell lung cancer (NSCLC). Our aim was to examine the relationship between TMB and outcome in diverse cancers treated with various immunotherapies. We reviewed data on 1,638 patients who had undergone comprehensive genomic profiling and had TMB assessment. Immunotherapy-treated patients (N = 151) were analyzed for response rate (RR), progression-free survival (PFS), and overall survival (OS). Higher TMB was independently associated with better outcome parameters (multivariable analysis). The RR for patients with high (≥20 mutations/mb) versus low to intermediate TMB was 22/38 (58%) versus 23/113 (20%; P = 0.0001); median PFS, 12.8 months vs. 3.3 months (P ≤ 0.0001); median OS, not reached versus 16.3 months (P = 0.0036). Results were similar when anti-PD-1/PD-L1 monotherapy was analyzed (N = 102 patients), with a linear correlation between higher TMB and favorable outcome parameters; the median TMB for responders versus nonresponders treated with anti-PD-1/PD-L1 monotherapy was 18.0 versus 5.0 mutations/mb (P < 0.0001). Interestingly, anti-CTLA4/anti-PD-1/PD-L1 combinations versus anti-PD-1/PD-L1 monotherapy was selected as a factor independent of TMB for predicting better RR (77% vs. 21%; P = 0.004) and PFS (P = 0.024). Higher TMB predicts favorable outcome to PD-1/PD-L1 blockade across diverse tumors. Benefit from dual checkpoint blockade did not show a similarly strong dependence on TMB. Mol Cancer Ther; 16(11); 2598-608. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28835386      PMCID: PMC5670009          DOI: 10.1158/1535-7163.MCT-17-0386

Source DB:  PubMed          Journal:  Mol Cancer Ther        ISSN: 1535-7163            Impact factor:   6.261


  41 in total

1.  PD-L1 Negative Status is Associated with Lower Mutation Burden, Differential Expression of Immune-Related Genes, and Worse Survival in Stage III Melanoma.

Authors:  Jason Madore; Dario Strbenac; Ricardo Vilain; Alexander M Menzies; Jeen Y H Yang; John F Thompson; Georgina V Long; Graham J Mann; Richard A Scolyer; James S Wilmott
Journal:  Clin Cancer Res       Date:  2016-03-09       Impact factor: 12.531

2.  Cancer immunology. Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer.

Authors:  Naiyer A Rizvi; Matthew D Hellmann; Alexandra Snyder; Pia Kvistborg; Vladimir Makarov; Jonathan J Havel; William Lee; Jianda Yuan; Phillip Wong; Teresa S Ho; Martin L Miller; Natasha Rekhtman; Andre L Moreira; Fawzia Ibrahim; Cameron Bruggeman; Billel Gasmi; Roberta Zappasodi; Yuka Maeda; Chris Sander; Edward B Garon; Taha Merghoub; Jedd D Wolchok; Ton N Schumacher; Timothy A Chan
Journal:  Science       Date:  2015-03-12       Impact factor: 47.728

3.  Atezolizumab in patients with locally advanced and metastatic urothelial carcinoma who have progressed following treatment with platinum-based chemotherapy: a single-arm, multicentre, phase 2 trial.

Authors:  Jonathan E Rosenberg; Jean Hoffman-Censits; Tom Powles; Michiel S van der Heijden; Arjun V Balar; Andrea Necchi; Nancy Dawson; Peter H O'Donnell; Ani Balmanoukian; Yohann Loriot; Sandy Srinivas; Margitta M Retz; Petros Grivas; Richard W Joseph; Matthew D Galsky; Mark T Fleming; Daniel P Petrylak; Jose Luis Perez-Gracia; Howard A Burris; Daniel Castellano; Christina Canil; Joaquim Bellmunt; Dean Bajorin; Dorothee Nickles; Richard Bourgon; Garrett M Frampton; Na Cui; Sanjeev Mariathasan; Oyewale Abidoye; Gregg D Fine; Robert Dreicer
Journal:  Lancet       Date:  2016-03-04       Impact factor: 79.321

4.  Nivolumab versus Docetaxel in Advanced Nonsquamous Non-Small-Cell Lung Cancer.

Authors:  Hossein Borghaei; Luis Paz-Ares; Leora Horn; David R Spigel; Martin Steins; Neal E Ready; Laura Q Chow; Everett E Vokes; Enriqueta Felip; Esther Holgado; Fabrice Barlesi; Martin Kohlhäufl; Oscar Arrieta; Marco Angelo Burgio; Jérôme Fayette; Hervé Lena; Elena Poddubskaya; David E Gerber; Scott N Gettinger; Charles M Rudin; Naiyer Rizvi; Lucio Crinò; George R Blumenschein; Scott J Antonia; Cécile Dorange; Christopher T Harbison; Friedrich Graf Finckenstein; Julie R Brahmer
Journal:  N Engl J Med       Date:  2015-09-27       Impact factor: 91.245

5.  Nivolumab plus ipilimumab in advanced melanoma.

Authors:  Jedd D Wolchok; Harriet Kluger; Margaret K Callahan; Michael A Postow; Naiyer A Rizvi; Alexander M Lesokhin; Neil H Segal; Charlotte E Ariyan; Ruth-Ann Gordon; Kathleen Reed; Matthew M Burke; Anne Caldwell; Stephanie A Kronenberg; Blessing U Agunwamba; Xiaoling Zhang; Israel Lowy; Hector David Inzunza; William Feely; Christine E Horak; Quan Hong; Alan J Korman; Jon M Wigginton; Ashok Gupta; Mario Sznol
Journal:  N Engl J Med       Date:  2013-06-02       Impact factor: 91.245

Review 6.  Mechanism-driven biomarkers to guide immune checkpoint blockade in cancer therapy.

Authors:  Suzanne L Topalian; Janis M Taube; Robert A Anders; Drew M Pardoll
Journal:  Nat Rev Cancer       Date:  2016-04-15       Impact factor: 60.716

7.  Comprehensive cancer-gene panels can be used to estimate mutational load and predict clinical benefit to PD-1 blockade in clinical practice.

Authors:  Luís Felipe Campesato; Romualdo Barroso-Sousa; Leandro Jimenez; Bruna R Correa; Jorge Sabbaga; Paulo M Hoff; Luiz F L Reis; Pedro Alexandre F Galante; Anamaria A Camargo
Journal:  Oncotarget       Date:  2015-10-27

Review 8.  PD-L1 biomarker testing for non-small cell lung cancer: truth or fiction?

Authors:  Claud Grigg; Naiyer A Rizvi
Journal:  J Immunother Cancer       Date:  2016-08-16       Impact factor: 13.751

9.  Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden.

Authors:  Zachary R Chalmers; Caitlin F Connelly; David Fabrizio; Laurie Gay; Siraj M Ali; Riley Ennis; Alexa Schrock; Brittany Campbell; Adam Shlien; Juliann Chmielecki; Franklin Huang; Yuting He; James Sun; Uri Tabori; Mark Kennedy; Daniel S Lieber; Steven Roels; Jared White; Geoffrey A Otto; Jeffrey S Ross; Levi Garraway; Vincent A Miller; Phillip J Stephens; Garrett M Frampton
Journal:  Genome Med       Date:  2017-04-19       Impact factor: 11.117

Review 10.  APOBEC Enzymes: Mutagenic Fuel for Cancer Evolution and Heterogeneity.

Authors:  Charles Swanton; Nicholas McGranahan; Gabriel J Starrett; Reuben S Harris
Journal:  Cancer Discov       Date:  2015-06-19       Impact factor: 39.397

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  719 in total

1.  Association of Patient Characteristics and Tumor Genomics With Clinical Outcomes Among Patients With Non-Small Cell Lung Cancer Using a Clinicogenomic Database.

Authors:  Gaurav Singal; Peter G Miller; Vineeta Agarwala; Gerald Li; Gaurav Kaushik; Daniel Backenroth; Anala Gossai; Garrett M Frampton; Aracelis Z Torres; Erik M Lehnert; David Bourque; Claire O'Connell; Bryan Bowser; Thomas Caron; Ezra Baydur; Kathi Seidl-Rathkopf; Ivan Ivanov; Garrett Alpha-Cobb; Ameet Guria; Jie He; Shannon Frank; Allen C Nunnally; Mark Bailey; Ann Jaskiw; Dana Feuchtbaum; Nathan Nussbaum; Amy P Abernethy; Vincent A Miller
Journal:  JAMA       Date:  2019-04-09       Impact factor: 56.272

Review 2.  Methods of measurement for tumor mutational burden in tumor tissue.

Authors:  Bárbara Meléndez; Claude Van Campenhout; Sandrine Rorive; Myriam Remmelink; Isabelle Salmon; Nicky D'Haene
Journal:  Transl Lung Cancer Res       Date:  2018-12

Review 3.  Challenges and unanswered questions for the next decade of immune-oncology research in NSCLC.

Authors:  Niki Karachaliou; Manuel Fernandez-Bruno; Jillian Wilhelmina Paulina Bracht; Rafael Rosell
Journal:  Transl Lung Cancer Res       Date:  2018-12

4.  Immuno-Oncology Biomarkers for Gastric and Gastroesophageal Junction Adenocarcinoma: Why PD-L1 Testing May Not Be Enough.

Authors:  Benjamin A Weinberg; Joanne Xiu; Jimmy J Hwang; Anthony F Shields; Mohamed E Salem; John L Marshall
Journal:  Oncologist       Date:  2018-04-27

Review 5.  Advanced basal cell cancer: concise review of molecular characteristics and novel targeted and immune therapeutics.

Authors:  M Nikanjam; P R Cohen; S Kato; J K Sicklick; R Kurzrock
Journal:  Ann Oncol       Date:  2018-11-01       Impact factor: 32.976

Review 6.  DNA repair defects and implications for immunotherapy.

Authors:  Katherine M Bever; Dung T Le
Journal:  J Clin Invest       Date:  2018-10-01       Impact factor: 14.808

7.  Inhibiting the MNK1/2-eIF4E axis impairs melanoma phenotype switching and potentiates antitumor immune responses.

Authors:  Fan Huang; Christophe Gonçalves; Margarita Bartish; Joelle Rémy-Sarrazin; Mark E Issa; Brendan Cordeiro; Qianyu Guo; Audrey Emond; Mikhael Attias; William Yang; Dany Plourde; Jie Su; Marina Godoy Gimeno; Yao Zhan; Alba Galán; Tomasz Rzymski; Milena Mazan; Magdalena Masiejczyk; Jacek Faber; Elie Khoury; Alexandre Benoit; Natascha Gagnon; David Dankort; Fabrice Journe; Ghanem E Ghanem; Connie M Krawczyk; H Uri Saragovi; Ciriaco A Piccirillo; Nahum Sonenberg; Ivan Topisirovic; Christopher E Rudd; Wilson H Miller; Sonia V Del Rincón
Journal:  J Clin Invest       Date:  2021-04-15       Impact factor: 14.808

8.  Ribosomal Lesions Promote Oncogenic Mutagenesis.

Authors:  Sergey O Sulima; Kim R Kampen; Stijn Vereecke; Daniele Pepe; Laura Fancello; Jelle Verbeeck; Jonathan D Dinman; Kim De Keersmaecker
Journal:  Cancer Res       Date:  2018-11-27       Impact factor: 12.701

9.  Prevalence of PDL1 Amplification and Preliminary Response to Immune Checkpoint Blockade in Solid Tumors.

Authors:  Aaron M Goodman; David Piccioni; Shumei Kato; Amélie Boichard; Huan-You Wang; Garrett Frampton; Scott M Lippman; Caitlin Connelly; David Fabrizio; Vincent Miller; Jason K Sicklick; Razelle Kurzrock
Journal:  JAMA Oncol       Date:  2018-09-01       Impact factor: 31.777

10.  Correlations between metabolic texture features, genetic heterogeneity, and mutation burden in patients with lung cancer.

Authors:  Seung Hwan Moon; Jinho Kim; Je-Gun Joung; Hongui Cha; Woong-Yang Park; Jin Seok Ahn; Myung-Ju Ahn; Keunchil Park; Joon Young Choi; Kyung-Han Lee; Byung-Tae Kim; Se-Hoon Lee
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-08-25       Impact factor: 9.236

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