Evidence map›Paper›PMID 33126898›Full record

ArticleWorld journal of surgical oncology2020

Development of prognosis model for colon cancer based on autophagy-related genes.

Xu Wang, Yuanmin Xu, Ting Li, Bo Chen, Wenqi Yang

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Down-Regulation of an Autophagy-Related GeneOncoTargets and therapy · 2021
    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

5 authors at 2 institutions in 1 country.

Xu WangDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, China.
Yuanmin XuDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, China.
Ting LiDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, China.
Bo ChenDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, China.
Wenqi YangDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, China. doctoryangwenqi@sina.com.
First Affiliated Hospital of Anhui Medical University · CNAnhui Medical University · CN

Funding

The Key Research and Development Plan Projects of Anhui Province 201904a07020055
6 · The paper itself

Abstract

backgroundAutophagy is an orderly catabolic process for degrading and removing unnecessary or dysfunctional cellular components such as proteins and organelles. Although autophagy is known to play an important role in various types of cancer, the effects of autophagy-related genes (ARGs) on colon cancer have not been well studied.

methodsExpression profiles from ARGs in 457 colon cancer patients were retrieved from the TCGA database ( https://portal.gdc.cancer.gov ). Differentially expressed ARGs and ARGs related to overall patient survival were identified. Cox proportional-hazard models were used to investigate the association between ARG expression profiles and patient prognosis.

resultsTwenty ARGs were significantly associated with the overall survival of colon cancer patients. Five of these ARGs had a mutation rate ≥ 3%. Patients were divided into high-risk and low-risk groups based on Cox regression analysis of 8 ARGs. Low-risk patients had a significantly longer survival time than high-risk patients (p < 0.001). Univariate and multivariate Cox regression analysis showed that the resulting risk score, which was associated with infiltration depth and metastasis, could be an independent predictor of patient survival. A nomogram was established to predict 1-, 3-, and 5-year survival of colon cancer patients based on 5 independent prognosis factors, including the risk score. The prognostic nomogram with online webserver was more effective and convenient to provide information for researchers and clinicians.

conclusionThe 8 ARGs can be used to predict the prognosis of patients and provide information for their individualized treatment.

Indexed as

Colonic NeoplasmsAutophagyHumansNomogramsPrognosisProportional Hazards ModelsAutophagy-related genesColon cancerPrognosis modelTCGA

Identifiers

PMID33126898
PMCPMC7602324
OpenAlexW3096509060

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.