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      Co-occurrence CDK4/6 amplification serves as biomarkers of de novo EGFR TKI resistance in sensitizing EGFR mutation non-small cell lung cancer

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          Abstract

          Despite the development of predictive biomarkers to shape treatment paradigms and outcomes, de novo EGFR TKI resistance advanced non-small cell lung cancer (NSCLC) remains an issue of concern. We explored clinical factors in 332 advanced NSCLC who received EGFR TKI and molecular characteristics through 65 whole exome sequencing of various EGFR TKI responses including; de novo (progression within 3 months), intermediate response (IRs) and long-term response (LTRs) (durability > 2 years). Uncommon EGFR mutation subtypes were significantly variable enriched in de novo resistance. The remaining sensitizing EGFR mutation subtypes (exon 19 del and L858R) accounted for 75% of de novo resistance. Genomic landscape analysis was conducted, focusing in 10 frequent oncogenic signaling pathways with functional contributions; cell cycle, Hippo, Myc, Notch, Nrf2, PI-3-Kinase/Akt, RTK-RAS, TGF-β, p53 and β-catenin/Wnt signaling. Cell cycle pathway was the only significant alteration pathway among groups with the FDR p-value of 6 × 10 –4. We found only significant q-values of < 0.05 in 7 gene alterations; CDK6, CCNE1, CDK4, CCND3, MET, FGFR4 and HRAS which enrich in de novo resistance [range 36–73%] compared to IRs/LTRs [range 4–22%]. Amplification of CDK4/6 was significant in de novo resistance, contrary to IRs and LTRs (91%, 27.9% and 0%, respectively). The presence of co-occurrence CDK4/6 amplification correlated with poor disease outcome with HR of progression-free survival of 3.63 [95% CI 1.80–7.31, p-value < 0.001]. The presence of CDK4/6 amplification in pretreatment specimen serves as a predictive biomarker for de novo resistance in sensitizing EGFR mutation.

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          Cancer genome landscapes.

          Over the past decade, comprehensive sequencing efforts have revealed the genomic landscapes of common forms of human cancer. For most cancer types, this landscape consists of a small number of "mountains" (genes altered in a high percentage of tumors) and a much larger number of "hills" (genes altered infrequently). To date, these studies have revealed ~140 genes that, when altered by intragenic mutations, can promote or "drive" tumorigenesis. A typical tumor contains two to eight of these "driver gene" mutations; the remaining mutations are passengers that confer no selective growth advantage. Driver genes can be classified into 12 signaling pathways that regulate three core cellular processes: cell fate, cell survival, and genome maintenance. A better understanding of these pathways is one of the most pressing needs in basic cancer research. Even now, however, our knowledge of cancer genomes is sufficient to guide the development of more effective approaches for reducing cancer morbidity and mortality.
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            Oncogenic Signaling Pathways in The Cancer Genome Atlas

            Genetic alterations in signaling pathways that control cell cycle progression, apoptosis, and cell growth are common hallmarks of cancer, but the extent, mechanisms, and co-occurrence of alterations in these pathways differ between individual tumors and tumor types. Using mutations, copy-number changes, mRNA expression, gene fusions and DNA methylation in 9,125 tumors profiled by The Cancer Genome Atlas (TCGA), we analyzed the mechanisms and patterns of somatic alterations in 10 canonical pathways: cell cycle, Hippo, Myc, Notch, NRF2, PI-3-Kinase/Akt, RTK-RAS, TGFβ signaling, P53 and β-catenin/WNT. We charted the detailed landscape of pathway alterations in 33 cancer types, stratified into 64 subtypes, and identified patterns of co-occurrence and mutual exclusivity. Eighty-nine percent of tumors had at least one driver alteration in these pathways, and 57% percent of tumors had at least one alteration potentially targetable by currently available drugs. Thirty percent of tumors had multiple targetable alterations, indicating opportunities for combination therapy. An integrated analysis of genetic alterations in 10 signaling pathways in >9,000 tumors profiled by TCGA highlights significant representation of individual and co-occurring actionable alterations in these pathways, suggesting opportunities for targeted and combination therapies.
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              Cancer genes and the pathways they control.

              The revolution in cancer research can be summed up in a single sentence: cancer is, in essence, a genetic disease. In the last decade, many important genes responsible for the genesis of various cancers have been discovered, their mutations precisely identified, and the pathways through which they act characterized. The purposes of this review are to highlight examples of progress in these areas, indicate where knowledge is scarce and point out fertile grounds for future investigation.
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                Author and article information

                Contributors
                Chanida.Vi@chula.ac.th
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                9 February 2022
                9 February 2022
                2022
                : 12
                : 2167
                Affiliations
                [1 ]GRID grid.411628.8, ISNI 0000 0000 9758 8584, Division of Medical Oncology, Department of Medicine, Faculty of Medicine, , Chulalongkorn University and The King Chulalongkorn Memorial Hospital, ; Bangkok, 10330 Thailand
                [2 ]GRID grid.411628.8, ISNI 0000 0000 9758 8584, Chula GenePRO Center, Research Affairs, , Chulalongkorn University and The King Chulalongkorn Memorial Hospital, ; Bangkok, 10330 Thailand
                [3 ]GRID grid.10223.32, ISNI 0000 0004 1937 0490, Division of Medical Oncology, Department of Medicine, Faculty of Medicine Siriraj Hospital, , Mahidol University, ; Siriraj, Bangkok Noi, Bangkok, 10700 Thailand
                [4 ]GRID grid.411628.8, ISNI 0000 0000 9758 8584, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Faculty of Medicine, , Chulalongkorn University and The King Chulalongkorn Memorial Hospital, ; Bangkok, Thailand
                [5 ]GRID grid.411628.8, ISNI 0000 0000 9758 8584, Department of Surgery, Faculty of Medicine, , Chulalongkorn University and The King Chulalongkorn Memorial Hospital, ; Bangkok, 10330 Thailand
                [6 ]GRID grid.10223.32, ISNI 0000 0004 1937 0490, Department of Clinical Pathology, Faculty of Medicine Siriraj Hospital, , Mahidol University, ; Siriraj, Bangkok Noi, Bangkok, 10700 Thailand
                [7 ]GRID grid.411628.8, ISNI 0000 0000 9758 8584, Department of Pathology, Faculty of Medicine, , Chulalongkorn University and The King Chulalongkorn Memorial Hospital, ; Bangkok, 10330 Thailand
                [8 ]GRID grid.7922.e, ISNI 0000 0001 0244 7875, Department of Mathematics and Computer Science & Omics Science and Bioinformatics Center, Faculty of Science, , Chulalongkorn University, ; Bangkok, 10330 Thailand
                [9 ]GRID grid.411628.8, ISNI 0000 0000 9758 8584, Department of Radiology, Faculty of Medicine, , Chulalongkorn University and The King Chulalongkorn Memorial Hospital, ; Bangkok, Thailand
                Article
                6239
                10.1038/s41598-022-06239-y
                8828869
                35140316
                5311398a-df6b-45b1-a54d-036f20afa6f9
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 4 September 2021
                : 17 January 2022
                Funding
                Funded by: Chulalongkorn Academic Advancement into Its 2nd Century (CUAASC) Project
                Funded by: Ratchadapiseksompotch Fund, Faculty of Medicine, Chulalongkorn University
                Award ID: RA60/121
                Award Recipient :
                Funded by: Health Systems Research Institute (Thailand)
                Award ID: 64/106
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                cancer,biomarkers,molecular medicine,oncology
                Uncategorized
                cancer, biomarkers, molecular medicine, oncology

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