Evidence map›Paper›PMID 30943948›Full record

ArticleBMC cancer2019

Upregulation of SLC2A3 gene and prognosis in colorectal carcinoma: analysis of TCGA data.

Eunyoung Kim, Sohee Jung, Won Seo Park, Joon-Hyop Lee, Rumi Shin, Seung Chul Heo, Eun Kyung Choe, Jae Hyun Lee, Kwangsoo Kim, Young Jun Chai

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
4.2field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 74 citations in OpenAlex.

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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

10 authors at 6 institutions in 1 country.

Eunyoung KimDepartment of Surgery, National Medical Center, Seoul, Republic of Korea.
Sohee JungDivision of Clinical Bioinformatics, Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.
Won Seo ParkDepartment of Surgery, Graduate College of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Joon-Hyop LeeDepartment of Surgery, Gachon University Gil Medical Center, Incheon, Republic of Korea.
Rumi ShinDepartment of Surgery, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul, 156-70, Republic of Korea.
Seung Chul HeoDepartment of Surgery, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul, 156-70, Republic of Korea.
Eun Kyung ChoeDepartment of Surgery, Seoul National University Hospital Healthcare System, Gangnam Center, Seoul, Republic of Korea.
Jae Hyun LeeDepartment of Statistics, Korea University, Seoul, Republic of Korea.
Kwangsoo KimDivision of Clinical Bioinformatics, Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea. kksoo@snuh.org.
Young Jun ChaiDepartment of Surgery, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul, 156-70, Republic of Korea. kevinjoon@naver.com.
Seoul National University Hospital · KRSNUH SMG-SNU Boramae Medical Center · KRGachon University Gil Medical Center · KRKorea University · KRKyung Hee University · KRNational Medical Center · KR

Funding

Korea Health Industry Development Institute HI17C0048National Research Foundation of Korea NRF-2016R1E1A1A01942072
6 · The paper itself

Abstract

backgroundUpregulation of SLC2A genes that encode glucose transporter (GLUT) protein is associated with poor prognosis in many cancers. In colorectal cancer, studies reporting the association between overexpression of GLUT and poor clinical outcomes were flawed by small sample sizes or subjective interpretation of immunohistochemical staining. Here, we analyzed mRNA expressions in all 14 SLC2A genes and evaluated the association with prognosis in colorectal cancer using data from the Cancer Genome Atlas (TCGA) database.

methodsIn the present study, we analyzed the expression of SLC2A genes in colorectal cancer and their association with prognosis using data obtained from the TCGA for the discovery sample, and a dataset from the Gene Expression Omnibus for the validation sample.

resultsSLC2A3 was significantly associated with overall survival (OS) and disease-free survival (DFS) in both the discovery sample (345 patients) and validation sample (501 patients). High SLC2A3 expression resulted in shorter OS and DFS. In multivariate analyses, high SLC2A3 levels predicted unfavorable OS (adjusted HR 1.95, 95% CI 1.22-3.11; P = 0.005) and were associated with poor DFS (adjusted HR 1.85, 95% CI 1.10-3.12; P = 0.02). Similar results were found in the discovery set.

conclusionUpregulation of the SLC2A3 genes is associated with decreased OS and DFS in colorectal cancer patients. Therefore, assessment of SLC2A3 gene expression may useful for predicting prognosis in these patients.

Indexed as

Up-RegulationAgedColorectal NeoplasmsDatabases, GeneticFemaleGene Expression Regulation, NeoplasticGlucose Transporter Type 3HumansMaleMiddle AgedNeoplasm StagingPrognosisSurvival AnalysisGlucose Transporter Type 3SLC2A3 protein, humanColorectal cancerGlucose transporter (GLUT)PrognosisSolute carrier 2A (SLC2A)The cancer genome atlas (TCGA)

Identifiers

PMID30943948
PMCPMC6446261
OpenAlexW2942196124

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.