Evidence map›Paper›PMID 39988623›Full record

ArticleDiscover oncology2025

Downregulation of solute carrier family 4 members 4 as a biomarker for colorectal cancer.

Krunal Pawar, Pramodkumar P Gupta, Pooran Singh Solanki, Ravi Ranjan Kumar Niraj, Shanker Lal Kothari

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In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Krunal PawarAmity Institute of Biotechnology, Amity University Rajasthan, SP-1, Kant Kalwar, RIICO Industrial Area, NH-11C, Jaipur, Rajasthan, India.
Pramodkumar P GuptaSchool of Biotechnology and Bioinformatics, D Y Patil Deemed to Be University, Navi-Mumbai, Maharashtra, 400614, India.
Pooran Singh SolankiDepartment of Bioengineering and Biotechnology, Birla Institute of Technology, Mesra, Off Campus Jaipur, Jaipur, India, Rajasthan, 302001.
Ravi Ranjan Kumar NirajAmity Institute of Biotechnology, Amity University Rajasthan, SP-1, Kant Kalwar, RIICO Industrial Area, NH-11C, Jaipur, Rajasthan, India.
Shanker Lal KothariAmity Institute of Biotechnology, Amity University Rajasthan, SP-1, Kant Kalwar, RIICO Industrial Area, NH-11C, Jaipur, Rajasthan, India. slkothari@jpr.amity.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the major cancer types associated with increased mortality worldwide. Hence, identifying reliable biomarkers make it very essential for early diagnosis and prognosis of CRC. Numerous studies have been conducted to decipher molecular mechanisms underlying CRC, however more deep insightful knowledge is the need of the hour. The purpose of this study was to identify promising key candidate genes in colorectal cancer (CRC) and assess their expression and clinical significance. To clarify and verify promising key biomarkers with signal transduction pathways in colorectal cancer, we integrated 11 microarray datasets from NCBI-GEO. This study utilized multiple bioinformatics tools and databases, including OncoDB, GEO2R, UALCAN, GEIPA, TIMER, and DAVID. The gene expression profiles of eleven datasets (GSE10714, GSE113513, GSE13471, GSE15960, GSE24514, GSE32323, GSE41258, GSE4183, GSE44076, GSE44861, GSE9348) were screened. In 11 gene expression profiles, 3 downregulated genes were identified and validated by databases such as OncoDB, UALCAN, GEIPA and TIMER. Downregulation of SLC4A4 with significant predictive value was validated by multi-omic data analysis and validated by Gene Expression Omnibus (GEO). GEIPA survival analysis showed that low SLC4A4 expression correlated with poorer overall survival among CRC patients. Based on this study, we identified SLC4A4 as a potential candidate biomarker for colorectal cancer (CRC), enabling early diagnosis and prognosis with molecular targeted therapy.

Indexed as

BioinformaticsCancerColon cancerDownregulationGEO2RGEO database

Identifiers

PMID39988623
PMCPMC11847767

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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.