{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T16:42:08Z","timestamp":1777480928482,"version":"3.51.4"},"reference-count":74,"publisher":"SAGE Publications","issue":"3-4","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Cancer Biomarkers"],"published-print":{"date-parts":[[2024,12]]},"abstract":"<jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>Significant progress has been made in the treatment of patients with pulmonary adenocarcinoma (ADCA) based on molecular profiling. However, no such molecular target exists for squamous cell carcinoma (SQCC). An exome sequence may provide new markers for personalized medicine for lung cancer patients of all subtypes. The current study aims to discover new genetic markers that can be used as universal biomarkers for non-small cell lung cancer (NSCLC).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>WES of 19 advanced NSCLC patients (10 ADCA and 9 SQCC) was performed using Illumina HiSeq 2000. Variant calling was performed using GATK HaplotypeCaller and then the impacts of variants on protein structure or function were predicted using SnpEff and ANNOVAR. The clinical impact of somatic variants in cancer was assessed using cancer archives. Somatic variants were further prioritized using a knowledge-driven variant interpretation approach. Sanger sequencing was used to validate functionally important variants.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We identified 24 rare single-nucleotide variants (SNVs) including 17 non-synonymous SNVs, and 7 INDELs in 18 genes possibly linked to lung carcinoma. Variants were classified as known somatic (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 10), deleterious (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 8), and variant of uncertain significance (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      = 6). We found TBP and MPRIP genes exclusively associated with ADCA subtypes, FBOX6 with SQCC subtypes and GPRIN2, KCNJ18 and TEKT4 genes mutated in all the patients. The Sanger sequencing of 10 high-confidence somatic SNVs showed 100% concordance in 7 genes, and 80% concordance in the remaining 3 genes.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec specific-use=\"heading-level-1\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Our bioinformatics analysis identified KCNJ18, GPRIN2, TEKT4, HRNR, FOLR3, ESSRA, CTBP2, MPRIP, TBP, and FBXO6 may contribute to progression in NSCLC and could be used as new biomarkers for the treatment. The mechanism by which GPRIN2, KCNJ12, and TEKT4 contribute to tumorigenesis is unclear, but our results suggest they may play an important role in NSCLC and it is worth investigating in future.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3233\/cbm-220211","type":"journal-article","created":{"date-parts":[[2023,9,8]],"date-time":"2023-09-08T10:39:04Z","timestamp":1694169544000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Identification of molecular biomarkers associated with non-small-cell lung carcinoma (NSCLC) using whole-exome sequencing"],"prefix":"10.1177","volume":"41","author":[{"given":"Varsha","family":"Singh","sequence":"first","affiliation":[{"name":"All India Institute of Medical Sciences","place":["India"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amit","family":"Katiyar","sequence":"additional","affiliation":[{"name":"All India Institute of Medical 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