Evidence map›Paper›PMID 39334238›Full record

ArticleJournal of translational medicine2024

Predictive nomogram of the clinical outcomes of colorectal cancer based on methylated SEPT9 and intratumoral IL-10

Jie Sun, Songli Shi, Chao Sun, Jiangping Wang, Xiaohui Yang, Zhengduo Yang, Jing Xu, Shiwu Zhang

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Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

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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 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jie SunNankai University School of Medicine, Nankai University, Tianjin, 300071, People's Republic of China.
Songli ShiDepartment of Pathology, Tianjin Union Medical Center, Tianjin, 300121, People's Republic of China.
Chao SunDepartment of Radiology, Tianjin Union Medical Center, Tianjin, 300121, People's Republic of China.
Jiangping WangSchool of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People's Republic of China.
Xiaohui YangNankai University School of Medicine, Nankai University, Tianjin, 300071, People's Republic of China.
Zhengduo YangDepartment of Pathology, Tianjin Union Medical Center, Tianjin, 300121, People's Republic of China.
Jing XuDepartment of General Surgery, Tianjin Union Medical Center, Nankai University, Tianjin, China.
Shiwu ZhangDepartment of Pathology, Tianjin Union Medical Center, Tianjin, 300121, People's Republic of China. zhangshiwu666@aliyun.com.ORCID 0000-0002-5052-2283

Funding

National Natural Science Foundation of China 2173283
6 · The paper itself

Abstract

backgroundGene methylation and the immune-related tumor microenvironment (TME) are highly correlated in tumor progression and therapeutic efficacy. Although both of them can be used to predict the clinical outcomes of colorectal cancer (CRC) patients, their predictive value is still unsatisfactory. Whether a combination risk model comprising these two prediction parameters performs better predictive effectiveness than independent factor is still unclear. Methylated Septin9 (mSEPT9) is an early diagnosis biomarker of CRC, in this study, we aimed to investigate mSEPT9-related biomarkers of immunosuppressive TME and identify the value of the combination risk model in predicting the clinical outcomes of CRC.

methodsImmunofluorescence staining was performed to clarify the correlation between intratumoral IL-10

resultsHypermethylated SEPT9 in the peripheral blood of patients with CRC (stage I-III, and stage IV with resectable M1) before radical resection was positively correlated with high intratumoral IL-10

conclusionsThe combination risk model of peripheral mSETP9 and intratumoral IL-10

Indexed as

Colorectal NeoplasmsDNA MethylationInterleukin-10NomogramsSeptinsT-Lymphocytes, RegulatoryAgedFemaleFluorouracilHumansMaleMiddle AgedPrognosisTreatment OutcomeTumor MicroenvironmentFluorouracilIL10 protein, humanInterleukin-10SEPTIN9 protein, humanSeptinsColorectal cancerIL-10+ TregsMethylated SEPT9Risk modelTumor microenvironment

Identifiers

PMID39334238
PMCPMC11430755

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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.