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Integration of comprehensive genomic profiling, tumor mutational burden, and PD‐L1 expression to identify novel biomarkers of immunotherapy in non‐small cell lung cancer

OBJECTIVES: This study aimed to explore the novel biomarkers for immune checkpoint inhibitor (ICI) responses in non‐small cell lung cancer (NSCLC) by integrating genomic profiling, tumor mutational burden (TMB), and expression of programmed death receptor 1 ligand (PD‐L1). MATERIALS AND METHODS: Tum...

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Autores principales: Shi, Yunfei, Lei, Youming, Liu, Li, Zhang, Shiyue, Wang, Wenjing, Zhao, Juan, Zhao, Songhui, Dong, Xiaowei, Yao, Ming, Wang, Kai, Zhou, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7982619/
https://www.ncbi.nlm.nih.gov/pubmed/33655698
http://dx.doi.org/10.1002/cam4.3649
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author Shi, Yunfei
Lei, Youming
Liu, Li
Zhang, Shiyue
Wang, Wenjing
Zhao, Juan
Zhao, Songhui
Dong, Xiaowei
Yao, Ming
Wang, Kai
Zhou, Qing
author_facet Shi, Yunfei
Lei, Youming
Liu, Li
Zhang, Shiyue
Wang, Wenjing
Zhao, Juan
Zhao, Songhui
Dong, Xiaowei
Yao, Ming
Wang, Kai
Zhou, Qing
author_sort Shi, Yunfei
collection PubMed
description OBJECTIVES: This study aimed to explore the novel biomarkers for immune checkpoint inhibitor (ICI) responses in non‐small cell lung cancer (NSCLC) by integrating genomic profiling, tumor mutational burden (TMB), and expression of programmed death receptor 1 ligand (PD‐L1). MATERIALS AND METHODS: Tumor and blood samples from 637 Chinese patients with NSCLC were collected for targeted panel sequencing. Genomic alterations, including single nucleotide variations, insertions/deletions, copy number variations, and gene rearrangements, were assessed and TMB was computed. TMB‐high (TMB‐H) was defined as ≥10 mutations/Mb. PD‐L1 positivity was defined as ≥1% tumor cells with membranous staining. Genomic data and ICI outcomes of 240 patients with NSCLC were derived from cBioPortal. RESULTS: EGFR‐sensitizing mutations, ALK, RET, and ROS1 rearrangements were associated with lower TMB and PD‐L1+/TMB‐H proportions, whereas KRAS, ALK, RET, and ROS1 substitutions/indels correlated with higher TMB and PD‐L1+/TMB‐H proportions than wild‐type genotypes. Histone‐lysine N‐methyltransferase 2 (KMT2) family members (KMT2A, KMT2C, and KMT2D) were frequently mutated in NSCLC tumors, and these mutations were associated with higher TMB and PD‐L1 expression, as well as higher PD‐L1+/TMB‐H proportions. Specifically, patients with KMT2C mutations had higher TMB and PD‐L1+/TMB‐H proportions than wild‐type patients. The median progression‐free survival (PFS) was 5.47 months (95% CI 2.5–NA) in patients with KMT2C mutations versus 3.17 months (95% CI 2.6–4.27) in wild‐type patients (p = 0.058). Furthermore, in patients with NSCLC who underwent ICI treatment, patients with TP53/KMT2C co‐mutations had significantly longer PFS and greater durable clinical benefit (HR: 0.48, 95% CI: 0.24–0.94, p = 0.033). TP53 mutation combined with KMT2C or KRAS mutation was a better biomarker with expanded population benefit from ICIs therapy and increased the predictive power (HR: 0.46, 95% CI: 0.26–0.81, p = 0.007). CONCLUSION: We found that tumors with different alterations in actionable target genes had variable expression of PD‐L1 and TMB in NSCLC. TP53/KMT2C co‐mutation might serve as a predictive biomarker for ICI responses in NSCLC. IMPLICATIONS FOR PRACTICE: Cancer immunotherapies, especially immune checkpoint inhibitors (ICIs), have revolutionized the treatment of non‐small cell lung cancer (NSCLC); however, only a proportion of patients derive durable responses to this treatment. Biomarkers with greater accuracy are highly needed. In total, 637 Chinese patients with NSCLC were analyzed using next‐generation sequencing and IHC to characterize the unique features of genomic alterations and TMB and PD‐L1 expression. Our study demonstrated that KMT2C/TP53 co‐mutation might be an accurate, cost‐effective, and reliable biomarker to predict responses to PD‐1 blockade therapy in NSCLC patients and that adding KRAS to the biomarker combination creates a more robust parameter to identify the best responders to ICI therapy.
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spelling pubmed-79826192021-03-25 Integration of comprehensive genomic profiling, tumor mutational burden, and PD‐L1 expression to identify novel biomarkers of immunotherapy in non‐small cell lung cancer Shi, Yunfei Lei, Youming Liu, Li Zhang, Shiyue Wang, Wenjing Zhao, Juan Zhao, Songhui Dong, Xiaowei Yao, Ming Wang, Kai Zhou, Qing Cancer Med Clinical Cancer Research OBJECTIVES: This study aimed to explore the novel biomarkers for immune checkpoint inhibitor (ICI) responses in non‐small cell lung cancer (NSCLC) by integrating genomic profiling, tumor mutational burden (TMB), and expression of programmed death receptor 1 ligand (PD‐L1). MATERIALS AND METHODS: Tumor and blood samples from 637 Chinese patients with NSCLC were collected for targeted panel sequencing. Genomic alterations, including single nucleotide variations, insertions/deletions, copy number variations, and gene rearrangements, were assessed and TMB was computed. TMB‐high (TMB‐H) was defined as ≥10 mutations/Mb. PD‐L1 positivity was defined as ≥1% tumor cells with membranous staining. Genomic data and ICI outcomes of 240 patients with NSCLC were derived from cBioPortal. RESULTS: EGFR‐sensitizing mutations, ALK, RET, and ROS1 rearrangements were associated with lower TMB and PD‐L1+/TMB‐H proportions, whereas KRAS, ALK, RET, and ROS1 substitutions/indels correlated with higher TMB and PD‐L1+/TMB‐H proportions than wild‐type genotypes. Histone‐lysine N‐methyltransferase 2 (KMT2) family members (KMT2A, KMT2C, and KMT2D) were frequently mutated in NSCLC tumors, and these mutations were associated with higher TMB and PD‐L1 expression, as well as higher PD‐L1+/TMB‐H proportions. Specifically, patients with KMT2C mutations had higher TMB and PD‐L1+/TMB‐H proportions than wild‐type patients. The median progression‐free survival (PFS) was 5.47 months (95% CI 2.5–NA) in patients with KMT2C mutations versus 3.17 months (95% CI 2.6–4.27) in wild‐type patients (p = 0.058). Furthermore, in patients with NSCLC who underwent ICI treatment, patients with TP53/KMT2C co‐mutations had significantly longer PFS and greater durable clinical benefit (HR: 0.48, 95% CI: 0.24–0.94, p = 0.033). TP53 mutation combined with KMT2C or KRAS mutation was a better biomarker with expanded population benefit from ICIs therapy and increased the predictive power (HR: 0.46, 95% CI: 0.26–0.81, p = 0.007). CONCLUSION: We found that tumors with different alterations in actionable target genes had variable expression of PD‐L1 and TMB in NSCLC. TP53/KMT2C co‐mutation might serve as a predictive biomarker for ICI responses in NSCLC. IMPLICATIONS FOR PRACTICE: Cancer immunotherapies, especially immune checkpoint inhibitors (ICIs), have revolutionized the treatment of non‐small cell lung cancer (NSCLC); however, only a proportion of patients derive durable responses to this treatment. Biomarkers with greater accuracy are highly needed. In total, 637 Chinese patients with NSCLC were analyzed using next‐generation sequencing and IHC to characterize the unique features of genomic alterations and TMB and PD‐L1 expression. Our study demonstrated that KMT2C/TP53 co‐mutation might be an accurate, cost‐effective, and reliable biomarker to predict responses to PD‐1 blockade therapy in NSCLC patients and that adding KRAS to the biomarker combination creates a more robust parameter to identify the best responders to ICI therapy. John Wiley and Sons Inc. 2021-03-02 /pmc/articles/PMC7982619/ /pubmed/33655698 http://dx.doi.org/10.1002/cam4.3649 Text en © 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Research
Shi, Yunfei
Lei, Youming
Liu, Li
Zhang, Shiyue
Wang, Wenjing
Zhao, Juan
Zhao, Songhui
Dong, Xiaowei
Yao, Ming
Wang, Kai
Zhou, Qing
Integration of comprehensive genomic profiling, tumor mutational burden, and PD‐L1 expression to identify novel biomarkers of immunotherapy in non‐small cell lung cancer
title Integration of comprehensive genomic profiling, tumor mutational burden, and PD‐L1 expression to identify novel biomarkers of immunotherapy in non‐small cell lung cancer
title_full Integration of comprehensive genomic profiling, tumor mutational burden, and PD‐L1 expression to identify novel biomarkers of immunotherapy in non‐small cell lung cancer
title_fullStr Integration of comprehensive genomic profiling, tumor mutational burden, and PD‐L1 expression to identify novel biomarkers of immunotherapy in non‐small cell lung cancer
title_full_unstemmed Integration of comprehensive genomic profiling, tumor mutational burden, and PD‐L1 expression to identify novel biomarkers of immunotherapy in non‐small cell lung cancer
title_short Integration of comprehensive genomic profiling, tumor mutational burden, and PD‐L1 expression to identify novel biomarkers of immunotherapy in non‐small cell lung cancer
title_sort integration of comprehensive genomic profiling, tumor mutational burden, and pd‐l1 expression to identify novel biomarkers of immunotherapy in non‐small cell lung cancer
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7982619/
https://www.ncbi.nlm.nih.gov/pubmed/33655698
http://dx.doi.org/10.1002/cam4.3649
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