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      Concomitant TP53 mutation in early-stage resected EGFR-mutated non-small cell lung cancer: a narrative approach in a genetically admixed Brazilian cohort

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          Abstract

          TP53 mutations are frequent in non-small cell lung cancer (NSCLC) and have been associated with poor outcome. The prognostic and predictive relevance of EGFR/ TP53 co-mutations in NSCLC is controversial. We analyzed lung tissue specimens from 70 patients with NSCLC using next-generation sequencing to determine EGFR and TP53 status and the association between these status with baseline patient and tumor characteristics, adjuvant treatments, relapse, and progression-free (PFS) and overall survival (OS) after surgical resection. We found the EGFR mutation in 32.9% of patients (20% classical mutations and 12.9% uncommon mutations). TP53 missense mutations occurred in 25.7% and TP53/EGFR co-mutations occurred in 43.5% of patients. Stage after surgical resection was significantly associated with OS (P=0.028). We identified an association between progression-free survival and poor outcome in patients with distant metastases (P=0.007). We found a marginally significant difference in OS between genders (P=0.057) and between mutant and wild type TP53 (P=0.079). In univariate analysis, distant metastases (P=0.027), pathological stage (IIIA-IIIB vs I-II; P=0.028), and TP53 status (borderline significance between wild type and mutant; P=0.079) influenced OS. In multivariable analysis, a significant model for high risk of death and poor OS (P=0.029) selected patients in stage IIIA-IIIB, with relapse and distant metastases, non-responsive to platin-based chemotherapy and erlotinib, with tumors harboring EGFR uncommon mutations, with TP53 mutant, and with EGFR/TP53 co-mutations. Our study suggested that TP53 mutation tends to confer poor survival and a potentially negative predictive effect associated with a non-response to platinum-based chemotherapy and erlotinib in early-stage resected EGFR-mutated NSCLC.

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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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            Cancer statistics, 2019

            Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths that will occur in the United States and compiles the most recent data on cancer incidence, mortality, and survival. Incidence data, available through 2015, were collected by the Surveillance, Epidemiology, and End Results Program; the National Program of Cancer Registries; and the North American Association of Central Cancer Registries. Mortality data, available through 2016, were collected by the National Center for Health Statistics. In 2019, 1,762,450 new cancer cases and 606,880 cancer deaths are projected to occur in the United States. Over the past decade of data, the cancer incidence rate (2006-2015) was stable in women and declined by approximately 2% per year in men, whereas the cancer death rate (2007-2016) declined annually by 1.4% and 1.8%, respectively. The overall cancer death rate dropped continuously from 1991 to 2016 by a total of 27%, translating into approximately 2,629,200 fewer cancer deaths than would have been expected if death rates had remained at their peak. Although the racial gap in cancer mortality is slowly narrowing, socioeconomic inequalities are widening, with the most notable gaps for the most preventable cancers. For example, compared with the most affluent counties, mortality rates in the poorest counties were 2-fold higher for cervical cancer and 40% higher for male lung and liver cancers during 2012-2016. Some states are home to both the wealthiest and the poorest counties, suggesting the opportunity for more equitable dissemination of effective cancer prevention, early detection, and treatment strategies. A broader application of existing cancer control knowledge with an emphasis on disadvantaged groups would undoubtedly accelerate progress against cancer.
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              The IASLC Lung Cancer Staging Project: Proposals for Revision of the TNM Stage Groupings in the Forthcoming (Eighth) Edition of the TNM Classification for Lung Cancer.

              The IASLC Staging and Prognostic Factors Committee has collected a new database of 94,708 cases donated from 35 sources in 16 countries around the globe. This has now been analysed by our statistical partners at Cancer Research And Biostatistics and, in close collaboration with the members of the committee proposals have been developed for the T, N, and M categories of the 8th edition of the TNM Classification for lung cancer due to be published late 2016. In this publication we describe the methods used to evaluate the resultant Stage groupings and the proposals put forward for the 8th edition.
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                Author and article information

                Journal
                Braz J Med Biol Res
                Braz J Med Biol Res
                bjmbr
                Brazilian Journal of Medical and Biological Research
                Associação Brasileira de Divulgação Científica
                0100-879X
                1414-431X
                07 April 2023
                2023
                : 56
                : e12488
                Affiliations
                [1 ]Laboratório de Histomorfometria e Genômica Pulmonar, Departamento de Patologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
                [2 ]Centro de Avaliação de Tecnologias em Saúde, Hospital das Clínicas da Faculdade de Medicina de Botucatu, Universidade Estadual Paulista, Botucatu, SP, Brasil
                [3 ]Centro Internacional de Pesquisa/CIPE, AC Camargo Cancer Center, São Paulo, São Paulo, SP, Brasil
                [4 ]Departamento de Patologia e Medicina Legal, Laboratório de Medicina Respiratória, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brasil
                [5 ]Instituto de Biociências, Departamento de Ciências Químicas e Biológicas, Universidade Estadual Paulista, Botucatu, SP, Brasil
                [6 ]Laboratório de Genética Molecular e Bioinformática, Unidade de Pesquisa Experimental, Faculdade de Medicina, Universidade Estadual Paulista, Botucatu, SP, Brasil
                [7 ]Departamento de Patologia, Faculdade de Medicina, Universidade Estadual Paulista, Botucatu, SP, Brasil
                [8 ]Instituto de Biotecnologia, Universidade Estadual Paulista, Botucatu, SP, Brasil
                [9 ]Instituto de Biociências, Departamento de Bioestatística, Biologia Vegetal, Parasitologia e Zoologia, Universidade Estadual Paulista, Botucatu, SP, Brasil
                [10 ]Divisão de Pneumologia, Instituto do Coração, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
                [11 ]Departamento de Radiologia e Oncologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
                [12 ]Laboratório de Genética Molecular, Centro de Pesquisa Translacional em Oncologia, Instituto do Câncer de São Paulo, São Paulo, SP, Brasil
                Author notes
                Correspondence: V.L. Capelozzi: < vera.capelozzi@ 123456fm.usp.br >
                Author information
                http://orcid.org/0000-0003-3984-4959
                http://orcid.org/0000-0002-5364-7305
                http://orcid.org/0000-0002-2615-6922
                http://orcid.org/0000-0001-7027-5550
                http://orcid.org/0000-0002-7687-3161
                http://orcid.org/0000-0002-0285-1162
                http://orcid.org/0000-0003-2142-7196
                http://orcid.org/0000-0001-8735-6090
                http://orcid.org/0000-0002-6371-177X
                http://orcid.org/0000-0003-2277-2100
                http://orcid.org/0000-0002-0728-4937
                http://orcid.org/0000-0001-9732-5853
                Article
                00626
                10.1590/1414-431X2023e12488
                10085757
                37042869
                3ab26fbd-6bce-4d92-9a4f-73ae2167c86d

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 07 December 2022
                : 27 February 2023
                Page count
                Figures: 2, Tables: 5, Equations: 0, References: 25
                Categories
                Research Article

                non-small-cell lung cancer (nsclc),epidermal growth factor receptor (egfr),tumor protein 53 (tp53),mutation,survival

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