Evidence map›Paper›PMID 31989761›Full record

ArticleJournal of cellular and molecular medicine2020

A stroma-related lncRNA panel for predicting recurrence and adjuvant chemotherapy benefit in patients with early-stage colon cancer.

Rui Zhou, Huiying Sun, Siting Zheng, Jingwen Zhang, Dongqiang Zeng, Jianhua Wu, Zhenhua Huang, Xiaoxiang Rong, Jianping Bin, Yulin Liao and 2 more

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

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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

12 authors.

Rui ZhouDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.ORCID 0000-0002-8250-9446
Huiying SunDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Siting ZhengDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jingwen ZhangDepartment of Medicine Ultrasonics, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Dongqiang ZengDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jianhua WuDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Zhenhua HuangDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xiaoxiang RongDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jianping BinDepartment of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yulin LiaoDepartment of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Min ShiDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Wangjun LiaoDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The heterogeneity in prognoses and chemotherapeutic responses of colon cancer patients with similar clinical features emphasized the necessity for new biomarkers that help to improve the survival prediction and tailor therapies more rationally and precisely. In the present study, we established a stroma-related lncRNA signature (SLS) based on 52 lncRNAs to comprehensively predict clinical outcome. The SLS model could not only distinguish patients with different recurrence and mortality risks through univariate analysis, but also served as an independent factor for relapse-free and overall survival. Compared with the conventionally used TNM stage system, the SLS model clearly possessed higher predictive accuracy. Moreover, the SLS model also effectively screened chemotherapy-responsive patients, as only patients in the low-SLS group could benefit from adjuvant chemotherapy. The following cell infiltration and competing endogenous RNA (ceRNA) network functional analyses further confirmed the association between the SLS model and stromal activation-related biological processes. Additionally, this study also identified three phenotypically distinct colon cancer subtypes that varied in clinical outcome and chemotherapy benefits. In conclusion, our SLS model may be a significant determinant of survival and chemotherapeutic decision-making in colon cancer and may have a strong clinical transformation value.

Indexed as

Biomarkers, TumorChemotherapy, AdjuvantColonic NeoplasmsDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingPrognosisRNA, Long NoncodingStromal CellsBiomarkers, TumorRNA, Long Noncodingchemotherapy responsivenesscolon cancerprognosisstroma-related lncRNA signature

Identifiers

PMID31989761
PMCPMC7077592

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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.