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      A large‐scale, multicenter characterization of BRAF G469V/A‐mutant non‐small cell lung cancer

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          Abstract

          Background

          Mutated BRAF is identified in 1%–5% non‐small cell lung cancer (NSCLC) patients, with non‐V600 mutations accounting for 50%–70% of these. The most common non‐V600 mutation is BRAF G469V/A. Currently, there are no targeted therapies available for non‐V600 mutated patients. A recent report provided interesting preclinical evidence revealing sensitivity of BRAF G469V to epidermal growth factor receptor (EGFR) inhibitors, raising the possibility of repurposing anti‐EGFR agents. It is therefore worthy to characterize the clinical and molecular features of BRAF G469V/A‐mutant NSCLC to provide more insights for precision therapy.

          Methods

          We conducted a retrospective screening of 25,694 Chinese patients with advanced or metastatic NSCLC to identify individuals with mutated BRAF. Additionally, we performed similar screenings on patients with adenocarcinoma (LUAD) from The Cancer Genome Atlas (TCGA) cohort ( n = 567) and the MSKCC cohort ( n = 1152). Subsequently, we characterized the clinical and molecular features of the patients carrying BRAF mutations.

          Results

          BRAF G469V was identified in 28 (0.1%) patients from the Chinese NSCLC cohort and 5 (0.9%) from TCGA‐LUAD. Notably, none was identified in the MSKCC cohort. G469A was found in 79 (0.3%) Chinese patients, 2 (0.4%) from TCGA‐LUAD, and 9 (0.8%) from the MSKCC cohort. Relative allele frequency analysis suggested most BRAF mutations as driven clones. Tumor mutation burden (median 4 mutations/Mb) was not significantly different between patients carrying G469V, G469A, V600E, or other BRAF mutations. Surprisingly, KRAS mutations were found in approximately 50% of patients with G469V mutation and about 8% of patients with G469A mutation, representing a prominent potential resistance mechanism against EGFR inhibitors. Structural modeling suggested BRAF G469V and G469A as binding partners of gefitinib.

          Conclusion

          Our large‐scale analysis characterized the prevalence and mutational landscape of BRAF G469V/A‐mutant NSCLC and proposed gefitinib as a potential option, providing a basis for further investigations on treating BRAF‐mutated NSCLC.

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          Most cited references19

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          Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

          This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.
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            Tumor mutational load predicts survival after immunotherapy across multiple cancer types

            Immune checkpoint inhibitor (ICI) treatments benefit some patients with metastatic cancers, but predictive biomarkers are needed. Findings in select cancer types suggest that tumor mutational burden (TMB) may predict clinical response to ICI.To examine this association more broadly, we analyzed the clinical and genomic data of 1662 advanced cancer patients treated with ICI, and 5371 non-ICI treated patients, whose tumors underwent targeted next-generation sequencing (MSK-IMPACT). Among all patients, higher somatic TMB (highest 20% in each histology) was associated with better OS (HR 0.52; p=1.6 ×10 −6 ). For most cancer histologies, an association between higher TMB and improved survival was observed. The TMB cutpoints associated with improved survival varied markedly between cancer types. These data indicate that TMB is associated with improved survival in patients receiving ICI across a wide variety of cancer types, but that there may not be one universal definition of high TMB.
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              An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

              SUMMARY For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale.
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                Author and article information

                Contributors
                shunlu@sjtu.edu.cn
                huangjiadragon@126.com
                Journal
                Cancer Med
                Cancer Med
                10.1002/(ISSN)2045-7634
                CAM4
                Cancer Medicine
                John Wiley and Sons Inc. (Hoboken )
                2045-7634
                21 May 2024
                May 2024
                : 13
                : 10 ( doiID: 10.1002/cam4.v13.10 )
                : e7305
                Affiliations
                [ 1 ] Department of Surgical Oncology, Shanghai Lung Cancer Center, Shanghai Chest Hospital Shanghai Jiao Tong University School of Medicine Shanghai China
                [ 2 ] Department of Thoracic surgery, Shanghai Chest Hospital Shanghai Jiao Tong University Shanghai China
                [ 3 ] Department of Medical Oncology, Shanghai Lung Cancer Center, Shanghai Chest Hospital, School of Medicine Shanghai Jiao Tong University Shanghai China
                Author notes
                [*] [* ] Correspondence

                Shun Lu, Department of Medical Oncology, Shanghai Lung Cancer Center, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.

                Email: shunlu@ 123456sjtu.edu.cn

                Jia Huang, Department of Surgical Oncology, Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

                Email: huangjiadragon@ 123456126.com

                Author information
                https://orcid.org/0000-0001-9764-1063
                Article
                CAM47305 CAM4-2023-11-5431.R1
                10.1002/cam4.7305
                11106686
                38770647
                f2312d68-c1c4-4c33-9283-0a2db8e31bbb
                © 2024 The Author(s). 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.

                History
                : 09 April 2024
                : 05 November 2023
                : 07 May 2024
                Page count
                Figures: 4, Tables: 1, Pages: 10, Words: 4200
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                May 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.4.3 mode:remove_FC converted:21.05.2024

                Oncology & Radiotherapy
                braf,g469,gefitinib,non‐small cell lung cancer (nsclc),targeted therapy
                Oncology & Radiotherapy
                braf, g469, gefitinib, non‐small cell lung cancer (nsclc), targeted therapy

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