Evidence map›Paper›PMID 34375487›Full record

ArticleCancer science2021

Genetic variants of SDCCAG8 and MAGI2 in mitosis-related pathway genes are independent predictors of cutaneous melanoma-specific survival.

Yuanmin He, Hongliang Liu, Sheng Luo, Christopher I Amos, Jeffrey E Lee, Xin Li, Hongmei Nan, Qingyi Wei

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 54% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Yuanmin HeDepartment of Dermatology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Hongliang LiuDuke Cancer Institute, Duke University Medical Center, Durham, NC, USA.
Sheng LuoDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
Christopher I AmosInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.
Jeffrey E LeeDepartment of Surgical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.
Xin LiDepartment of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA.
Hongmei NanDepartment of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA.
Qingyi WeiDuke Cancer Institute, Duke University Medical Center, Durham, NC, USA.ORCID https://orcid.org/0000-0002-3845-9445
Duke University · USIndiana University Indianapolis · USBaylor College of Medicine · USThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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-category, based on the evidence that the mitotic rate was not an independent prognostic factor for melanoma survival. As single-nucleotide polymorphisms (SNPs) have been shown to be potential predictors for cutaneous melanoma-specific survival (CMSS), we investigated the potential prognostic value of SNPs in mitosis-related 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' Health Study and Health Professionals Follow-up Study. In both datasets, we identified two SNPs (SDCCAG8 rs10803138 G>A and MAGI2 rs3807694 C>T) as independent prognostic factors for CMSS, with adjusted allelic hazards ratios of 1.49 (95% confidence interval = 1.17-1.90, P = .001) and 1.45 (1.13-1.86, P = .003), respectively. Furthermore, their combined unfavorable alleles also predicted a poor survival in both discovery and validation datasets in a dose-response manner (P

Indexed as

Genetic VariationAdaptor Proteins, Signal TransducingAdolescentAdultAgedAged, 80 and overAllelesAutoantigensConfidence IntervalsCutaneous Malignant MelanomaFemaleGuanylate KinasesHumansMaleMelanomaMiddle AgedAdaptor Proteins, Signal TransducingAutoantigensGuanylate KinasesMAGI2 protein, humanNeoplasm ProteinsSDCCAG8 protein, humancutaneous melanomamitosissingle-nucleotide polymorphismsurvival

Identifiers

PMID34375487
PMCPMC8486203
OpenAlexW3191476841

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.