Evidence map›Paper›PMID 38270646›Full record

ArticleJournal of cancer research and clinical oncology2024

Prognosis and immunotherapy response prediction based on M2 macrophage-related genes in colon cancer.

Xiaochen Xu, Xinwen Zhang, Ruilong Kou, Yihao Liu, Siqi Chen, Zuguo Li, Zhiyuan Jian, Zhenran Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 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
1.2field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Colorectal Cancer Cell's Weapon: RNF32 Engages SPP1Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
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

8 authors at 1 institution in 1 country.

Xiaochen Xu *Department of Gastrointestinal Surgery, Affiliated Hospital of Guilin Medical University, Guangxi Zhuang Autonomous Region, Guilin, 541001, China.
Xinwen Zhang *Department of Gastrointestinal Surgery, Affiliated Hospital of Guilin Medical University, Guangxi Zhuang Autonomous Region, Guilin, 541001, China.
Ruilong KouDepartment of Gastrointestinal Surgery, Affiliated Hospital of Guilin Medical University, Guangxi Zhuang Autonomous Region, Guilin, 541001, China.
Yihao LiuDepartment of Gastrointestinal Surgery, Affiliated Hospital of Guilin Medical University, Guangxi Zhuang Autonomous Region, Guilin, 541001, China.
Siqi ChenDepartment of Gastrointestinal Surgery, Affiliated Hospital of Guilin Medical University, Guangxi Zhuang Autonomous Region, Guilin, 541001, China.
Zuguo LiDepartment of Gastrointestinal Surgery, Affiliated Hospital of Guilin Medical University, Guangxi Zhuang Autonomous Region, Guilin, 541001, China.
Zhiyuan JianDepartment of Gastrointestinal Surgery, Affiliated Hospital of Guilin Medical University, Guangxi Zhuang Autonomous Region, Guilin, 541001, China. jianzhiyuan2001@163.com.
Zhenran WangDepartment of Gastrointestinal Surgery, Affiliated Hospital of Guilin Medical University, Guangxi Zhuang Autonomous Region, Guilin, 541001, China. wzr5007287@163.com.
Guilin Medical University · CN

Funding

China's National Natural Science Foundation 81860436Innovation Project of Guangxi Graduate Education YCSW2023416
6 · The paper itself

Abstract

backgroundM2 macrophage were revealed to play a crucial role in immune evasion and immunotherapies. This study aims to explore the potential significance of M2 macrophage-related genes in colon adenocarcinoma (COAD) by analysizing the transcriptome data in a comprehensive way.

methodsWe collected RNA-sequencing (RNA-seq) data of COAD from The Cancer Genome Atlas (TCGA) and Gene Expression Ominibus (GEO) databases. We calculated the immune infiltration scores of every sample using CIBERSORT algorithm. Through weighted gene co-expression network analysis (WGCNA), we picked out M2 macrophage-related genes. With these genes we screened out prognosis related genes which were utilized to construct a signature to assess the prognosis of patients. To extend the potential application of the signature, we also calculated the correlations with immune infiltration. Finally, we applied techniques such as quantitative reverse transcription polymerase chain reaction (qRT-PCR) and immunoblotting (Western Blotting) to validate the RNF32 gene in cellular in vitro assays.

resultsSeven M2 macrophage-related genes signature was constructed, which was an excellent prognostic predictor in two independent groups. The high-risk group showed lower immune infiltration and poorer response to immunotherapies than those of the low-risk group. The cell vitro experiments showed that the expression level of RNF32 was upregulated in colon cancer cell lines compared with normal cell lines. Moreover, we found that RNF32 may promote the proliferation, migration and invasion of cancer cells in vitro by inhibiting apoptosis.

conclusionA novel M2 macrophage-related gene signature affects the prognosis and immune characteristics of colon cancer.

Indexed as

AdenocarcinomaColonic NeoplasmsAlgorithmsHumansImmunotherapyPrognosisColon cancerImmune infiltrationImmunotherapyM2 macrophagePrognosis

Identifiers

PMID38270646
PMCPMC10811099
OpenAlexW4391224514

What OpenQuestion holds

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LicenceCC BY
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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.