Evidence map›Paper›PMID 38576045›Full record

ArticleEuropean journal of medical research2024

Molecular subtyping and the construction of a predictive model of colorectal cancer based on ion channel genes.

Lian-Jie Ai, Guo-Dong Li, Gang Chen, Zi-Quan Sun, Jin-Ning Zhang, Ming Liu

Open access · goldAbstract read
In one paragraph

Article in European journal of medical research, 2024. 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
0.5field-weighted citation impact, top 38% 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, 2 citations in OpenAlex.

  1. Review
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

6 authors at 2 institutions in 1 country.

Lian-Jie AiColorectal Tumor Surgery, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang, China.
Guo-Dong LiGeneral Surgery, The 4th Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang, China.
Gang ChenGeneral Surgery, The 4th Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang, China.
Zi-Quan SunColorectal Tumor Surgery, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang, China.
Jin-Ning ZhangColorectal Tumor Surgery, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang, China.
Ming LiuGeneral Surgery, The 4th Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang, China. mingliu35@hrbmu.edu.cn.
Harbin Medical University · CNSecond Affiliated Hospital of Harbin Medical University · CN

Funding

the National Science Foundation China 82072673the Natural Science Foundation of Heilongjiang Province of China LH2020H066
6 · The paper itself

Abstract

purposeColorectal cancer (CRC) is a highly heterogeneous malignancy with an unfavorable prognosis. The purpose of this study was to address the heterogeneity of CRC by categorizing it into ion channel subtypes, and to develop a predictive modeling based on ion channel genes to predict the survival and immunological states of patients with CRC. The model will provide guidance for personalized immunotherapy and drug treatment.

methodsA consistent clustering method was used to classify 619 CRC samples based on the expression of 279 ion channel genes. Such a method was allowed to investigate the relationship between molecular subtypes, prognosis, and immune infiltration. Furthermore, a predictive modeling was constructed for ion channels to evaluate the ion channel properties of individual tumors using the least absolute shrinkage and selection operator. The expression patterns of the characteristic genes were validated through molecular biology experiments. The effect of potassium channel tetramerization domain containing 9 (KCTD9) on CRC was verified by cellular functional experiments.

resultsFour distinct ion channel subtypes were identified in CRC, each characterized by unique prognosis and immune infiltration patterns. Notably, Ion Cluster3 exhibited high levels of immune infiltration and a favorable prognosis, while Ion Cluster4 showed relatively lower levels of immune infiltration and a poorer prognosis. The ion channel score could predict overall survival, with lower scores correlated with longer survival. This score served as an independent prognostic factor and presented an excellent predictive efficacy in the nomogram. In addition, the score was closely related to immune infiltration, immunotherapy response, and chemotherapy sensitivity. Experimental evidence further confirmed that low expression of KCTD9 in tumor tissues was associated with an unfavorable prognosis in patients with CRC. The cellular functional experiments demonstrated that KCTD9 inhibited the proliferation, migration and invasion capabilities of LOVO cells.

conclusionsIon channel subtyping and scoring can effectively predict the prognosis and evaluate the immune microenvironment, immunotherapy response, and drug sensitivity in patients with CRC.

Indexed as

Colorectal NeoplasmsIon ChannelsHumansImmunotherapyNomogramsPrognosisTumor MicroenvironmentIon ChannelsColorectal cancerDrug sensitivityImmune infiltrationImmunotherapyIon channelPrognosis

Identifiers

PMID38576045
PMCPMC10993535
OpenAlexW4393947265

What OpenQuestion holds

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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.