Evidence map›Paper›PMID 38707897›Full record

ArticleFrontiers in immunology2024

SOX13 is a novel prognostic biomarker and associates with immune infiltration in breast cancer.

Ting Gao, Baohong Jiang, Yu Zhou, Rongfang He, Liming Xie, Yuehua Li

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Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

6 authors.

Ting Gao *The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Baohong Jiang *The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Yu ZhouThe First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Rongfang HeThe First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Liming XieThe First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Yuehua LiThe First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The transcription factor, SOX13 is part of the SOX family. SOX proteins are crucial in the progression of many cancers, and some correlate with carcinogenesis. Nonetheless, the biological and clinical implications of SOX13 in human breast cancer (BC) remain rarely known. Methods: We evaluated the survival and expression data of SOX13 in BC patients via the UNLCAL, GEPIA, TIMER, and Kaplan-Meier plotter databases. Immunohistochemistry (IHC) was used to verify clinical specimens. The gene alteration rates of SOX13 were acquired on the online web cBioportal. With the aid of the TCGA data, the association between SOX13 mRNA expression and copy number alterations (CNA) and methylation was determined. LinkedOmics was used to identify the genes that co-expressed with SOX13 and the regulators. Immune infiltration and tumor microenvironment evaluations were assessed by ImmuCellAI and TIMER2.0 databases. SOX13 correlated drug resistance analysis was performed using the GDSC2 database. Results: Higher SOX13 expression was discovered in BC tissues in comparison to normal tissues. Moreover, increased gene mutation and amplification of SOX13 were found in BC. Patients with increased SOX13 expression levels showed worse overall survival (OS). Cox analysis showed that SOX13 independently served as a prognostic indicator for poor survival in BC. Further, the expression of SOX13 was also confirmed to be correlated with tumor microenvironment and diverse infiltration of immune cells. In terms of drug sensitivity analysis, we found higher expression level of SOX13 predicts a high IC50 value for most of 198 drugs which predicts drug resistance. Conclusion: The present findings demonstrated that high expression of SOX13 negatively relates to prognosis and SOX13 plays an important role in cancer immunity. Therefore, SOX13 may potentially be adopted as a biomarker for predicting BC prognosis and infiltration of immune cells.

Indexed as

Biomarkers, TumorBreast NeoplasmsGene Expression Regulation, NeoplasticTumor MicroenvironmentDrug Resistance, NeoplasmFemaleHumansKaplan-Meier EstimateLymphocytes, Tumor-InfiltratingPrognosisBiomarkers, Tumorbioinformatics analysisbreast cancerimmunohistochemistryprognosisSOX13

Identifiers

PMID38707897
PMCPMC11066178

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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.