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Original Article| Volume 268, P75-82, November 2022

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Somatic mutation variant analysis in rural, resectable non‐small cell lung carcinoma patients

  • Jonathan B. Mitchem
    Correspondence
    Corresponding authors at: Department of Surgery, University of Missouri, 1 Hospital Dr., Columbia, MO 65212, USA.
    Affiliations
    Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, USA

    Harry S. Truman Memorial Veterans’ Hospital, Columbia, MO, USA

    Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA

    Center for Biomedical Informatics, University of Missouri School of Medicine, Columbia, MO, USA

    Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
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  • Amanda Miller
    Affiliations
    Center for Biomedical Informatics, University of Missouri School of Medicine, Columbia, MO, USA
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  • Yariswamy Manjunath
    Affiliations
    Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, USA

    Harry S. Truman Memorial Veterans’ Hospital, Columbia, MO, USA
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  • Mouadh Barbirou
    Affiliations
    Center for Biomedical Informatics, University of Missouri School of Medicine, Columbia, MO, USA
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  • Murugesan Raju
    Affiliations
    Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA
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  • Yuanyuan Shen
    Affiliations
    Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA
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  • Guangfu Li
    Affiliations
    Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, USA

    Harry S. Truman Memorial Veterans’ Hospital, Columbia, MO, USA
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  • Diego M. Avella
    Affiliations
    Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, USA
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  • Aadel A. Chaudhuri
    Affiliations
    Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA

    Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
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  • Chi-Ren Shyu
    Affiliations
    Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA
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  • Wesley C. Warren
    Affiliations
    Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, USA

    Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA

    Center for Biomedical Informatics, University of Missouri School of Medicine, Columbia, MO, USA
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  • Peter J. Tonellato
    Affiliations
    Center for Biomedical Informatics, University of Missouri School of Medicine, Columbia, MO, USA
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  • Jussuf T. Kaifi
    Correspondence
    Corresponding authors at: Department of Surgery, University of Missouri, 1 Hospital Dr., Columbia, MO 65212, USA.
    Affiliations
    Department of Surgery, School of Medicine, University of Missouri, Columbia, MO, USA

    Harry S. Truman Memorial Veterans’ Hospital, Columbia, MO, USA

    Institute for Data Science and Informatics, University of Missouri, Columbia, MO, USA

    Center for Biomedical Informatics, University of Missouri School of Medicine, Columbia, MO, USA

    Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
    Search for articles by this author
Published:September 23, 2022DOI:https://doi.org/10.1016/j.cancergen.2022.09.008

      Highlights

      • Rural non-small cell lung cancer (NSCLC) patients have worse survival.
      • Whole exome sequencing reveals similar somatic mutation profile as urban patients.
      • Most common mutations and actionable genes are also observed in rural NSCLC.
      • 24% of patients had variants in actionable genes based on OncoKB annotation.
      • Findings establish foundation for targeted clinical trials in rural NSCLC patients.

      Abstract

      Rural non-small cell lung cancer (NSCLC) patients do worse, largely related to lack of access to care. In this study, the mutational characteristics and potential for targeted therapy in rural, resectable NSCLC patients using whole exome sequencing (WES) were analyzed. WES was performed on tumor-adjacent normal pairs from rural patients undergoing resection for NSCLC. Sequencing alignment, variant-calling, annotation, and tumor mutational burden (TMB) calculations were performed using standard methods. cBioportal and OncoKB were used for comparisons of mutational frequencies and actionable targets. Thirty-four NSCLC patients underwent WES after surgical resection. The gene most frequently containing somatic variants was TP53. The median number of somatic variants was 188 (Range 11–1056), and median TMB was 3.30 (0.33–18.56) nonsynonymous mutations per Mb. Tumor stage and survival were not associated with number of variants, TMB or TP53 mutational status. Significant concordance among the most common mutations when cross-referenced to cBioportal (R = 0.78, p < 0.0001) was observed. 24% of patients had variants in actionable genes based on OncoKB annotation. In summary, we demonstrate baseline mutational frequency and establish foundations for targeted adjuvant trials in rural NSCLC patients with specific differences. Future studies must ensure to include rural patients to improve NSCLC patient outcomes.

      Keywords

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      References

        • Siegel R.L.
        • Miller K.D.
        • Jemal A.
        Cancer statistics.
        CA Cancer J Clin. 2020; 70 (2020): 7-30
        • Singh G.K.
        • Siahpush M.
        • Williams S.D.
        Changing urbanization patterns in US lung cancer mortality, 1950–2007.
        J Community Health. 2012; 37: 412-420
        • Ebner P.J.
        • Ding L.
        • Kim A.W.
        • Atay S.M.
        • Yao M.J.
        • Toubat O.
        • McFadden P.M.
        • Balekian A.A.
        • David EA.
        The effect of socioeconomic status on treatment and mortality in non-small cell lung cancer patients.
        Ann Thorac Surg. 2020; 109: 225-232
        • Nicoli C.D.
        • Sprague B.L.
        • Anker C.J.
        • Lester-Coll N.H.
        Association of rurality with survival and guidelines-concordant management in early-stage non-small cell lung cancer.
        Am J Clin Oncol. 2019; 42: 607-614
        • Unger J.M.
        • Moseley A.
        • Symington B.
        • Chavez-MacGregor M.
        • Ramsey S.D.
        • Hershman D.L.
        Geographic distribution and survival outcomes for rural patients with cancer treated in clinical trials.
        JAMA Netw Open. 2018; 1e181235
      1. American Lung Association: State of lung cancer 2021. https://www.lung.org/research/state-of-lung-cancer/states/missouri accessed 04/13/2022.

        • Kris M.G.
        • Johnson B.E.
        • Berry L.D.
        • Kwiatkowski D.J.
        • Iafrate A.J.
        • Wistuba I.I.
        • Varella-Garcia M.
        • Franklin W.A.
        • Aronson S.L.
        • Su P.F.
        • Shyr Y.
        • Camidge D.R.
        • Sequist L.V.
        • Glisson B.S.
        • Khuri F.R.
        • Garon E.B.
        • Pao W.
        • Rudin C.
        • Schiller J.
        • Haura E.B.
        • Socinski M.
        • Shirai K.
        • Chen H.
        • Giaccone G.
        • Ladanyi M.
        • Kugler K.
        • Minna J.D.
        • Bunn P.A.
        Using multiplexed assays of oncogenic drivers in lung cancers to select targeted drugs.
        JAMA. 2014; 311: 1998-2006
        • Govindan R.
        • Mandrekar S.J.
        • Gerber D.E.
        • Oxnard G.R.
        • Dahlberg S.E.
        • Chaft J.
        • Malik S.
        • Mooney M.
        • Abrams J.S.
        • Janne P.A.
        • Gandara D.R.
        • Ramalingam S.S.
        • Vokes E.E.
        ALCHEMIST Trials: a golden opportunity to transform outcomes in early-stage non-small cell lung cancer.
        Clin Cancer Res. 2015; 21: 5439-5444
        • Li H.
        • Durbin R.
        Fast and accurate long-read alignment with burrows-wheeler transform.
        Bioinformatics. 2010; 26: 589-595
        • McKenna A.
        • Hanna M.
        • Banks E.
        • Sivachenko A.
        • Cibulskis K.
        • Kernytsky A.
        • Garimella K.
        • Altshuler D.
        • Gabriel S.
        • Daly M.
        • DePristo M.A.
        The genome analysis toolkit: a mapreduce framework for analyzing next-generation DNA sequencing data.
        Genome Res. 2010; 20: 1297-1303
        • Cibulskis K.
        • Lawrence M.S.
        • Carter S.L.
        • Sivachenko A.
        • Jaffe D.
        • Sougnez C.
        • Gabriel S.
        • Meyerson M.
        • Lander E.S.
        • Getz G.
        Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples.
        Nat Biotechnol. 2013; 31: 213-219
        • Koboldt D.C.
        • Zhang Q.
        • Larson D.E.
        • Shen D.
        • McLellan M.D.
        • Lin L.
        • Miller C.A.
        • Mardis E.R.
        • Ding L.
        • Wilson R.K.
        VarScan 2: somatic mutation and copy number alteration discovery in cancer by exome sequencing.
        Genome Res. 2012; 22: 568-576
        • Yang H.
        • Wang K.
        Genomic variant annotation and prioritization with ANNOVAR and wANNOVAR.
        Nat Protoc. 2015; 10: 1556-1566
        • Genomes Project C.
        • Abecasis G.R.
        • Altshuler D.
        • Auton A.
        • Brooks L.D.
        • Durbin R.M.
        • Gibbs R.A.
        • Hurles M.E.
        • McVean G.A.
        A map of human genome variation from population-scale sequencing.
        Nature. 2010; 467: 1061-1073
        • Rizvi H.
        • Sanchez-Vega F.
        • La K.
        • Chatila W.
        • Jonsson P.
        • Halpenny D.
        • Plodkowski A.
        • Long N.
        • Sauter J.L.
        • Rekhtman N.
        • Hollmann T.
        • Schalper K.A.
        • Gainor J.F.
        • Shen R.
        • Ni A.
        • Arbour K.C.
        • Merghoub T.
        • Wolchok J.
        • Snyder A.
        • Chaft J.E.
        • Kris M.G.
        • Rudin C.M.
        • Socci N.D.
        • Berger M.F.
        • Taylor B.S.
        • Zehir A.
        • Solit D.B.
        • Arcila M.E.
        • Ladanyi M.
        • Riely G.J.
        • Schultz N.
        • Hellmann M.D.
        Molecular Determinants of response to anti-programmed cell death (PD)-1 and anti-programmed death-ligand 1 (PD-L1) blockade in patients with non-small-cell lung cancer profiled with targeted next-generation sequencing.
        J Clin Oncol. 2018; 36: 633-641
        • Samstein R.M.
        • Lee C.H.
        • Shoushtari A.N.
        • Hellmann M.D.
        • Shen R.
        • Janjigian Y.Y.
        • Barron D.A.
        • Zehir A.
        • Jordan E.J.
        • Omuro A.
        • Kaley T.J.
        • Kendall S.M.
        • Motzer R.J.
        • Hakimi A.A.
        • Voss M.H.
        • Russo P.
        • Rosenberg J.
        • Iyer G.
        • Bochner B.H.
        • Bajorin D.F.
        • Al-Ahmadie H.A.
        • Chaft J.E.
        • Rudin C.M.
        • Riely G.J.
        • Baxi S.
        • Ho A.L.
        • Wong R.J.
        • Pfister D.G.
        • Wolchok J.D.
        • Barker C.A.
        • Gutin P.H.
        • Brennan C.W.
        • Tabar V.
        • Mellinghoff I.K.
        • DeAngelis L.M.
        • Ariyan C.E.
        • Lee N.
        • Tap W.D.
        • Gounder M.M.
        • D'Angelo S.P.
        • Saltz L.
        • Stadler Z.K.
        • Scher H.I.
        • Baselga J.
        • Razavi P.
        • Klebanoff C.A.
        • Yaeger R.
        • Segal N.H.
        • Ku G.Y.
        • DeMatteo R.P.
        • Ladanyi M.
        • Rizvi N.A.
        • Berger M.F.
        • Riaz N.
        • Solit D.B.
        • Chan T.A.
        • Morris L.G.T.
        Tumor mutational load predicts survival after immunotherapy across multiple cancer types.
        Nat Genet. 2019; 51: 202-206
        • Cancer Genome Atlas Research N
        Comprehensive genomic characterization of squamous cell lung cancers.
        Nature. 2012; 489: 519-525
        • Cancer Genome Atlas Research N
        Comprehensive molecular profiling of lung adenocarcinoma.
        Nature. 2014; 511: 543-550
        • Lawrence M.S.
        • Stojanov P.
        • Polak P.
        • Kryukov G.V.
        • Cibulskis K.
        • Sivachenko A.
        • Carter S.L.
        • Stewart C.
        • Mermel C.H.
        • Roberts S.A.
        • Kiezun A.
        • Hammerman P.S.
        • McKenna A.
        • Drier Y.
        • Zou L.
        • Ramos A.H.
        • Pugh T.J.
        • Stransky N.
        • Helman E.
        • Kim J.
        • Sougnez C.
        • Ambrogio L.
        • Nickerson E.
        • Shefler E.
        • Cortes M.L.
        • Auclair D.
        • Saksena G.
        • Voet D.
        • Noble M.
        • DiCara D.
        • Lin P.
        • Lichtenstein L.
        • Heiman D.I.
        • Fennell T.
        • Imielinski M.
        • Hernandez B.
        • Hodis E.
        • Baca S.
        • Dulak A.M.
        • Lohr J.
        • Landau D.A.
        • Wu C.J.
        • Melendez-Zajgla J.
        • Hidalgo-Miranda A.
        • Koren A.
        • McCarroll S.A.
        • Mora J.
        • Crompton B.
        • Onofrio R.
        • Parkin M.
        • Winckler W.
        • Ardlie K.
        • Gabriel S.B.
        • Roberts C.W.M.
        • Biegel J.A.
        • Stegmaier K.
        • Bass A.J.
        • Garraway L.A.
        • Meyerson M.
        • Golub T.R.
        • Gordenin D.A.
        • Sunyaev S.
        • Lander E.S.
        • Getz G.
        Mutational heterogeneity in cancer and the search for new cancer-associated genes.
        Nature. 2013; 499: 214-218
        • Gan B.L.
        • He R.Q.
        • Zhang Y.
        • Wei D.M.
        • Hu X.H.
        • Chen G.
        Downregulation of HOXA3 in lung adenocarcinoma and its relevant molecular mechanism analysed by RT-qPCR, TCGA and in silico analysis.
        Int J Oncol. 2018; 53: 1557-1579
        • Musolf A.M.
        • Moiz B.A.
        • Sun H.
        • Pikielny C.W.
        • Bosse Y.
        • Mandal D.
        • de Andrade M.
        • Gaba C.
        • Yang P.
        • Li Y.
        • You M.
        • Govindan R.
        • Wilson R.K.
        • Kupert E.Y.
        • Anderson M.W.
        • Schwartz A.G.
        • Pinney S.M.
        • Amos C.I.
        • Bailey-Wilson J.E.
        Whole exome sequencing of highly aggregated lung cancer families reveals linked loci for increased cancer risk on chromosomes 12q, 7p, and 4q.
        Cancer Epidemiol Biomark Prev. 2020; 29: 434-442
        • Chan T.A.
        • Yarchoan M.
        • Jaffee E.
        • Swanton C.
        • Quezada S.A.
        • Stenzinger A.
        • Peters S.
        Development of tumor mutation burden as an immunotherapy biomarker: utility for the oncology clinic.
        Ann Oncol. 2019; 30: 44-56
        • Jiao X.D.
        • Qin B.D.
        • You P.
        • Cai J.
        • Zang YS.
        The prognostic value of TP53 and its correlation with EGFR mutation in advanced non-small cell lung cancer, an analysis based on cBioPortal data base.
        Lung Cancer. 2018; 123: 70-75
        • Chakravarty D.
        • Gao J.
        • Phillips S.M.
        • Kundra R.
        • Zhang H.
        • Wang J.
        • Rudolph J.E.
        • Yaeger R.
        • Soumerai T.
        • Nissan M.H.
        • Chang M.T.
        • Chandarlapaty S.
        • Traina T.A.
        • Paik P.K.
        • Ho A.L.
        • Hantash F.M.
        • Grupe A.
        • Baxi S.S.
        • Callahan M.K.
        • Snyder A.
        • Chi P.
        • Danila D.
        • Gounder M.
        • Harding J.J.
        • Hellmann M.D.
        • Iyer G.
        • Janjigian Y.
        • Kaley T.
        • Levine D.A.
        • Lowery M.
        • Omuro A.
        • Postow M.A.
        • Rathkopf D.
        • Shoushtari A.N.
        • Shukla N.
        • Voss M.
        • Paraiso E.
        • Zehir A.
        • Berger M.F.
        • Taylor B.S.
        • Saltz L.B.
        • Riely G.J.
        • Ladanyi M.
        • Hyman D.M.
        • Baselga J.
        • Sabbatini P.
        • Solit D.B.
        • Schultz N.
        OncoKB: a precision oncology knowledge base.
        JCO Precis Oncol. 2017; : 2017
        • Gao J.
        • Aksoy B.A.
        • Dogrusoz U.
        • Dresdner G.
        • Gross B.
        • Sumer S.O.
        • Sun Y.
        • Jacobsen A.
        • Sinha R.
        • Larsson E.
        • Cerami E.
        • Sander C.
        • Schultz N.
        Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal.
        Sci Signal. 2013; 6: pl1
        • Singal G.
        • Miller P.G.
        • Agarwala V.
        • Li G.
        • Kaushik G.
        • Backenroth D.
        • Gossai A.
        • Frampton G.M.
        • Torres A.Z.
        • Lehnert E.M.
        • Bourque D.
        • O'Connell C.
        • Bowser B.
        • Caron T.
        • Baydur E.
        • Seidl-Rathkopf K.
        • Ivanov I.
        • Alpha-Cobb G.
        • Guria A.
        • He J.
        • Frank S.
        • Nunnally A.C.
        • Bailey M.
        • Jaskiw A.
        • Feuchtbaum D.
        • Nussbaum N.
        • Abernethy A.P.
        • Miller V.A.
        Association of patient characteristics and tumor genomics with clinical outcomes among patients with non-small cell lung cancer using a clinicogenomic database.
        JAMA. 2019; 321: 1391-1399
        • He J.
        • Abdel-Wahab O.
        • Nahas M.K.
        • Wang K.
        • Rampal R.K.
        • Intlekofer A.M.
        • Patel J.
        • Krivstov A.
        • Frampton G.M.
        • Young L.E.
        • Zhong S.
        • Bailey M.
        • White J.R.
        • Roels S.
        • Deffenbaugh J.
        • Fichtenholtz A.
        • Brennan T.
        • Rosenzweig M.
        • Pelak K.
        • Knapp K.M.
        • Brennan K.W.
        • Donahue A.L.
        • Young G.
        • Garcia L.
        • Beckstrom S.T.
        • Zhao M.
        • White E.
        • Banning V.
        • Buell J.
        • Iwanik K.
        • Ross J.S.
        • Morosini D.
        • Younes A.
        • Hanash A.M.
        • Paietta E.
        • Roberts K.
        • Mullighan C.
        • Dogan A.
        • Armstrong S.A.
        • Mughal T.
        • Vergilio J.A.
        • Labrecque E.
        • Erlich R.
        • Vietz C.
        • Yelensky R.
        • Stephens P.J.
        • Miller V.A.
        • van den Brink M.R.
        • Otto G.A.
        • Lipson D.
        • Levine R.L.
        Integrated genomic DNA/RNA profiling of hematologic malignancies in the clinical setting.
        Blood. 2016; 127: 3004-3014
        • Barbirou M.
        • Miller A.
        • Manjunath Y.
        • Ramirez A.B.
        • Ericson N.G.
        • Staveley-O'Carroll K.F.
        • Mitchem J.B.
        • Warren W.C.
        • Chaudhuri A.A.
        • Huang Y.
        • Li G.
        • Tonellato P.J.
        • Kaifi J.T.
        Single circulating-tumor-cell-targeted sequencing to identify somatic variants in liquid biopsies in non-small-cell lung cancer patients.
        Curr Issues Mol Biol. 2022; 44: 750-763
        • Coughlin L.N.
        • Bonar E.E.
        • Bohnert K.M.
        • Jannausch M.
        • Walton M.A.
        • Blow F.C.
        • Ilgen M.A.
        Changes in urban and rural cigarette smoking and cannabis use from 2007 to 2017 in adults in the United States.
        Drug Alcohol Depend. 2019; 205107699