Evidence map›Paper›PMID 39906030›Full record

ArticleImmunoTargets and therapy2025

Identification of EARS2 as a Potential Biomarker with Diagnostic, Prognostic, and Therapeutic Implications in Colorectal Cancer.

Ling Wang, Xuemei Deng, Jiaxi Tang, Yi Gong, Shaojin Bu, Zuli Li, Bin Liao, Yao Ding, Tingting Dai, Yong Liao and 1 more

Abstract read
In one paragraph

Article in ImmunoTargets and therapy, 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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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Ling Wang *Department of Infectious Diseases, Second Affiliated Hospital, Chongqing Medical University, Chongqing, People's Republic of China.
Xuemei Deng *Department of Infectious Diseases, Second Affiliated Hospital, Chongqing Medical University, Chongqing, People's Republic of China.
Jiaxi TangDepartment of Anesthesiology, Chongqing University Cancer Hospital, Chongqing, China.
Yi GongDepartment of Phase I Clinical Trial Ward, Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, People's Republic of China.
Shaojin BuDepartment of Anesthesiology, Fengdu People's Hospital, Chongqing, People's Republic of China.ORCID 0009-0007-7181-9514
Zuli LiDepartment of Infectious Diseases, Second Affiliated Hospital, Chongqing Medical University, Chongqing, People's Republic of China.
Bin LiaoDepartment of Phase I Clinical Trial Ward, Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, People's Republic of China.
Yao DingDepartment of Phase I Clinical Trial Ward, Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, People's Republic of China.
Tingting DaiDepartment of Infectious Diseases, Second Affiliated Hospital, Chongqing Medical University, Chongqing, People's Republic of China.
Yong LiaoDepartment of Infectious Diseases, Second Affiliated Hospital, Chongqing Medical University, Chongqing, People's Republic of China.
Yongsheng LiDepartment of Phase I Clinical Trial Ward, Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Colorectal cancer (CRC) is a prevalent malignancy, and lactate metabolism significantly influences tumorigenesis and progression. This study identifies key genes associated with lactic acid metabolism and explore their impact on CRC. Patients and Methods: This study utilized data from The Cancer Genome Atlas, Gene Expression Omnibus, other public databases, and our institutional resources. Machine learning identified key lactate metabolism-related genes. Receiver Operating Characteristic analysis, Kaplan-Meier analysis, and the construction of a nomogram model were conducted to assess the diagnostic and prognostic significance of the key lactate metabolism-related gene EARS2. EARS2 expression in colorectal tissue was validated using both publicly available external data and samples from our institution. To investigate the mechanisms underlying EARS2 in CRC, Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, Gene Set Enrichment Analysis, and Protein-Protein Interaction analyses were performed, alongside the construction of miRNA-mRNA interaction networks. Additionally, the relationships between EARS2 and immune cell infiltration, as well as responses to drug therapy, were examined. Following the knockdown of EARS2, we assessed cell proliferation, migration capabilities, and apoptosis. Statistical analyses were conducted using R and GraphPad Prism software. Results: ERAS2 was overexpressed in CRC tissues compared to normal and adenoma tissues, with higher expression levels correlating with aberrant lactate metabolism and poorer patient prognosis. EARS2 was involved in pathways such as neuroactive ligand-receptor interactions, protein digestion, and cholesterol metabolism, and it was associated with immune cell infiltration and responses to drug treatment. Additionally, the knockdown of EARS2 inhibited the proliferation, migration, and invasion of CRC cells while enhancing their apoptosis. Conclusion: Elevated expression of EARS2 is associated with abnormal lactate metabolism, immune cell infiltration, altered therapeutic sensitivity, and poorer survival outcomes in CRC. This correlation suggests that EARS2 may serve as a potential target for the diagnosis, prognosis, and therapeutic intervention in CRC.

Indexed as

biomarkerCRCEARS2lactic acidprediction model

Identifiers

PMID39906030
PMCPMC11791672

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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.