Evidence map›Paper›PMID 35434132›Full record

ArticleBioMed research international2022

Prediction of Survival Rate and Chemotherapy Effect by an Immune Score Model in Colorectal Cancer.

Siyao Liu, Zhengjian Wang, Michael Ntim, Jingrun Han, Xutao Jiang, Chuanfa Fang, Caiming Xu, Jing Zhang

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 93% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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 4 institutions in 2 countries.

Siyao Liu *Department of Anesthesiology, Dalian Women and Children's Medical Group, Dalian, Liaoning 116000, China.
Zhengjian Wang *Department of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning 116000, China.
Michael NtimDepartment of Physiology, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Jingrun HanDepartment of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning 116000, China.
Xutao JiangDepartment of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning 116000, China.
Chuanfa FangDepartment of Gastroenteric Hernia Surgery, Ganzhou Hospital Affiliated to Nanchang University, Jiangxi 341000, China.ORCID https://orcid.org/0000-0002-4950-1290
Caiming XuDepartment of General Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning 116000, China.ORCID https://orcid.org/0000-0001-7794-2301
Jing ZhangDepartment of Digestive Endoscopy, Dalian Municipal Central Hospital, Dalian, Liaoning 116000, China.ORCID https://orcid.org/0000-0001-5840-6159
Dalian Medical University · CNDalian Municipal Central Hospital · CNKwame Nkrumah University of Science and Technology · GHNanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer is the third most common cancer and the second leading cause of cancer-related deaths. Immune cells in the tumor microenvironment play an important role in the development of tumors. In this study, CIBERSORT was used to estimate the subset of the immune cells using bulk gene expression data (i.e., TCGA, GEO, and cBioPortal databases). 1,087 samples were included in the analysis. The results revealed that among the 22 immune cell subsets that were evaluated, resting and activated NK cells, macrophage M1 and M2, and resting mast cells are associated with significant improvements in patient survival of colorectal cancer. The 15-year survival rates for the training cohort showed 49.1% and 32.5%, respectively, for the low- and high-risk groups. Likewise, the validation and entire cohorts showed 77.3% versus 47.2% and 65.3% versus 46.5%, respectively, for the low- and high-risk groups. Also, the prognostic immune score in predicting the chemotherapy effects showed that the low-risk group had a better survival superiority over the high-risk group, whether patients received chemotherapy or not. The gene set enrichment analysis showed that the low-risk group was highly enriched in pathways or processes related to immune response. The immune checkpoint assessment revealed significantly higher mRNA expressions of CTLA4 in the lower risk group than in the higher risk group. Altogether, this study offers information that could improve the prognosis of colorectal cancer.

Indexed as

Colorectal NeoplasmsGene Expression Regulation, NeoplasticBiomarkers, TumorHumansPrognosisSurvival RateTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID35434132
PMCPMC9006078
OpenAlexW4226312401

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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.