Evidence map›Paper›PMID 35379120›Full record

ArticleCombinatorial chemistry & high throughput screening2023

Comprehensive Characterization of RNA-Binding Proteins in Colon Adenocarcinoma Identifies a Novel Prognostic Signature for Predicting Clinical Outcomes and Immunotherapy Responses Based on Machine Learning.

Ye Miao, Qihang Yuan, Chao Wang, Xiaoshi Feng, Jie Ren, Changmiao Wang

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Article in Combinatorial chemistry & high throughput screening, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 20 citations in OpenAlex.

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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.

Ye MiaoDepartment of Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Qihang YuanDepartment of Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Chao WangDepartment of Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Xiaoshi FengDepartment of Endocrinology, First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning, China.
Jie RenDepartment of Oncology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Changmiao WangDepartment of Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Dalian Medical University · CNJinzhou Medical University · CN

Funding

National Natural Science Foundation of China 81774082
6 · The paper itself

Abstract

backgroundRNA-binding proteins (RBPs) are crucial factors that function in the posttranscriptional modification process and are significant in cancer.

objectiveThis research aimed for a multigene signature to predict the prognosis and immunotherapy response of patients with colon adenocarcinoma (COAD) based on the expression profile of RNA-binding proteins (RBPs).

methodsCOAD samples retrieved from the TCGA and GEO datasets were utilized for a training dataset and a validation dataset. Totally, 14 shared RBP genes with prognostic significance were identified. Non-negative matrix factorization clusters defined by these RBPs could stratify COAD patients into two molecular subtypes. Cox regression analysis and identification of 8-gene signature categorized COAD patients into high- and low-risk populations with significantly different prognosis and immunotherapy responses.

resultsOur prediction signature was superior to another five well-established prediction models. A nomogram was generated to quantificationally predict the overall survival (OS) rate, validated by calibration curves. Our findings also indicated that high-risk populations possessed an enhanced immune evasion capacity and low-risk populations might benefit immunotherapy, especially for the joint combination of PD-1 and CTLA4 immunosuppressants. DHX15 and LARS2 were detected with significantly different expressions in both datasets, which were further confirmed by qRTPCR and immunohistochemical staining.

conclusionOur observations supported an eight-RBP-related signature that could be applied for survival prediction and immunotherapy response of patients with COAD.

Indexed as

AdenocarcinomaAmino Acyl-tRNA SynthetasesColonic NeoplasmsHumansImmunotherapyMachine LearningPrognosisRNA-Binding ProteinsAmino Acyl-tRNA SynthetasesLARS2 protein, humanRNA-Binding Proteinscolon adenocarcinomaDHX15immunotherapy responseLARS2prognosisRNA binding proteins

Identifiers

PMID35379120
OpenAlexW4225960142

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.