Evidence map›Paper›PMID 35264195›Full record

ArticleWorld journal of surgical oncology2022

Establishment and validation of a prognostic model based on HRR-related lncRNAs in colon adenocarcinoma.

Xingkui Tang, Yukun Lin, Jialin He, Xijun Luo, Junjie Liang, Xianjun Zhu, Tao Li

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. PARP Inhibitors in Colorectal Malignancies: A 2023 Update.Reviews on recent clinical trials · 2024
    Review
  5. Clinical Medicine Insights. Oncology · 2024
    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

7 authors at 2 institutions in 1 country.

Xingkui Tang *Department of General Surgery, Guangzhou Panyu Central Hospital, Guangzhou, China. kxtang2021@126.com.
Yukun Lin *Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China. linyukun@mail.sysu.edu.cn.
Jialin HeDepartment of General Surgery, Guangzhou Panyu Central Hospital, Guangzhou, China.
Xijun LuoDepartment of General Surgery, Guangzhou Panyu Central Hospital, Guangzhou, China.
Junjie LiangDepartment of General Surgery, Guangzhou Panyu Central Hospital, Guangzhou, China.
Xianjun ZhuDepartment of General Surgery, Guangzhou Panyu Central Hospital, Guangzhou, China.
Tao LiDepartment of General Surgery, Guangzhou Panyu Central Hospital, Guangzhou, China.
Panyu District Central Hospital · CNSun Yat-sen University · CN

Funding

The Science and Technology Program of Guangzhou 201904010070
6 · The paper itself

Abstract

backgroundColon cancer (CRC) is the second leading cause of cancer-related death, and its 5-year survival rate is very low. Homologous recombination repair (HRR) is deficient in most colon cancer. Some long non-coding RNAs (lncRNAs) participate in tumorigenesis of colon cancer through the HRR pathway. We aim to establish a prognostic model based on the HRR-related lncRNAs, expecting to provide a new strategy for precision treatment development in colon cancer.

methodsPearson's correlation was used to identify the HRR-related prognostic lncRNAs in the TCGA-COAD cohort. The TCGA-COAD cohort was randomized into the training set and the testing set. LASSO Cox regression was used to establish the model which was analyzed in the training set and validated in the testing set and the entire TCGA-COAD cohort. Finally, we explored the potential biological function of our model.

resultsA prognostic model was established based on nineteen HRR-related lncRNAs in the training set. COAD patients were scored by the uniform formula and divided into high-risk and low-risk groups based on the median risk score. Patients with high-risk scores indicated poor prognosis in the training set, and the result was confirmed in the testing set and the entire TCGA-COAD cohort (all p < 0.01). Multivariable analysis suggested that our model was an independent factor for overall survival in COAD. The area under the curve (AUC) and C-index indicated that our model had better predictive efficiency than other indicators in the TCGA-COAD cohort. Functional enrichment analysis suggested that our model was associated with the MAPK pathway in COAD. Besides, our model was positively correlated with the HRD scores.

conclusionA new prognostic model was established based on nineteen HRR-related lncRNAs which had excellent predictive efficiency on the prognosis of COAD. This prognostic model may provide a new strategy for prognostic prediction of COAD patients.

Indexed as

AdenocarcinomaColonic NeoplasmsRNA, Long NoncodingHumansPrognosisRecombinational DNA RepairRNA, Long NoncodingColon cancerHomologous combination repairHRD scoreLong non-coding RNAsPrognostic model

Identifiers

PMID35264195
PMCPMC8905762
OpenAlexW4221106829

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LicenceCC BY
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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.