{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T15:27:21Z","timestamp":1769095641622,"version":"3.49.0"},"reference-count":43,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2021,8,27]],"date-time":"2021-08-27T00:00:00Z","timestamp":1630022400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Science"],"published-print":{"date-parts":[[2021,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Mitosis is a prognostic factor for cutaneous melanoma (CM), but accurate mitosis detection in CM tissues is difficult. Therefore, the 8th Edition of the American Joint Committee on Cancer staging system has removed the mitotic rate as a category criterion of the tumor T\u2010category, based on the evidence that the mitotic rate was not an independent prognostic factor for melanoma survival. As single\u2010nucleotide polymorphisms (SNPs) have been shown to be potential predictors for cutaneous melanoma\u2010specific survival (CMSS), we investigated the potential prognostic value of SNPs in mitosis\u2010related pathway genes in CMSS by analyzing their associations with outcomes of 850 CM patients from The University of Texas MD Anderson Cancer Center in a discovery dataset and validated the findings in another dataset of 409 CM patients from the Harvard University Nurses\u2019 Health Study and Health Professionals Follow\u2010up Study. In both datasets, we identified two SNPs (<jats:italic>SDCCAG8<\/jats:italic> rs10803138 G&gt;A and <jats:italic>MAGI2<\/jats:italic> rs3807694 C&gt;T) as independent prognostic factors for CMSS, with adjusted allelic hazards ratios of 1.49 (95% confidence interval\u00a0=\u00a01.17\u20101.90, <jats:italic>P<\/jats:italic>\u00a0=\u00a0.001) and 1.45 (1.13\u20101.86, <jats:italic>P<\/jats:italic>\u00a0=\u00a0.003), respectively. Furthermore, their combined unfavorable alleles also predicted a poor survival in both discovery and validation datasets in a dose\u2010response manner (<jats:italic>P<\/jats:italic><jats:sub>trend<\/jats:sub>\u00a0=\u00a0.0006 and .0001, respectively). Additional functional analysis revealed that both <jats:italic>SDCCAG8<\/jats:italic> rs10803138 A and <jats:italic>MAGI2<\/jats:italic> rs3807694 T alleles were associated with elevated mRNA expression levels in normal tissues. Therefore, these findings suggest that <jats:italic>SDCCAG8<\/jats:italic> rs10803138 G&gt;A and <jats:italic>MAGI2<\/jats:italic> rs3807694 C&gt;T are independent prognostic biomarkers for CMSS, possibly by regulating the mRNA expression of the corresponding genes involved in mitosis.<\/jats:p>","DOI":"10.1111\/cas.15102","type":"journal-article","created":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T19:08:33Z","timestamp":1628622513000},"page":"4355-4364","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Genetic variants of <i>SDCCAG8<\/i> and <i>MAGI2<\/i> in mitosis\u2010related pathway genes are independent predictors of cutaneous melanoma\u2010specific survival"],"prefix":"10.1111","volume":"112","author":[{"given":"Yuanmin","family":"He","sequence":"first","affiliation":[{"name":"Department of Dermatology The Affiliated Hospital of Southwest Medical University Luzhou China"},{"name":"Duke Cancer Institute Duke University Medical Center Durham NC USA"},{"name":"Department of Population Health Sciences Duke University School of Medicine Durham NC USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongliang","family":"Liu","sequence":"additional","affiliation":[{"name":"Duke Cancer Institute Duke University Medical Center Durham NC USA"},{"name":"Department of Population Health Sciences Duke University School of Medicine Durham NC USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sheng","family":"Luo","sequence":"additional","affiliation":[{"name":"Department of Biostatistics and Bioinformatics Duke University School of Medicine Durham NC USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher I.","family":"Amos","sequence":"additional","affiliation":[{"name":"Institute for Clinical and Translational Research Baylor College of Medicine Houston TX USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeffrey E.","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Surgical Oncology The University of Texas M. D. Anderson Cancer Center Houston TX USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Richard M. Fairbanks School of Public Health Indiana University Indianapolis IN USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongmei","family":"Nan","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Richard M. Fairbanks School of Public Health Indiana University Indianapolis IN USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3845-9445","authenticated-orcid":false,"given":"Qingyi","family":"Wei","sequence":"additional","affiliation":[{"name":"Duke Cancer Institute Duke University Medical Center Durham NC USA"},{"name":"Department of Population Health Sciences Duke University School of Medicine Durham NC USA"},{"name":"Department of Medicine Duke University School of Medicine Durham NC 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