Evidence map›Paper›PMID 33402116›Full record

ArticleBMC cancer2021

Identification of a novel six autophagy-related genes signature for the prognostic and a miRNA-related autophagy predictor for anti-PD-1 therapy responses in prostate cancer.

Lei Wu, Wen Quan, Guojun Yue, Qiong Luo, Dongxu Peng, Ying Pan, Guihai Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. microRNA-205 in prostate cancer: Overview to clinical translation.Biochimica et biophysica acta. Reviews on cancer · 2022
    Review
  5. Review
  6. 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

7 authors at 4 institutions in 1 country.

Lei WuDepartment of Oncology, Zhuhai People's Hospital (Zhuhai Hospital affiliated with Jinan University), Zhuhai, Guangdong Province, P. R. China.
Wen QuanDepartment of Oncology, Zhuhai People's Hospital (Zhuhai Hospital affiliated with Jinan University), Zhuhai, Guangdong Province, P. R. China.
Guojun YueZunyi Medical University, Zunyi, Guizhou Province, P. R. China.
Qiong LuoDepartment of Oncology, Affiliated Zhuhai Hospital, Southern Medical University, Zhuhai, Guangdong Province, P. R. China.
Dongxu PengDepartment of Oncology, Zhuhai People's Hospital (Zhuhai Hospital affiliated with Jinan University), Zhuhai, Guangdong Province, P. R. China.
Ying PanDepartment of Oncology, Zhuhai People's Hospital (Zhuhai Hospital affiliated with Jinan University), Zhuhai, Guangdong Province, P. R. China. pyzhhospital@163.com.
Guihai ZhangDepartment of Oncology, Zhuhai People's Hospital (Zhuhai Hospital affiliated with Jinan University), Zhuhai, Guangdong Province, P. R. China. zghzhsymyy@163.com.
Zhuhai People's Hospital · CNZunyi Medical University · CNJinan University · CNSouthern Medical University · CN

Funding

Guizhou Science and Technology Department noneGuizhou Science and Technology Department No. Qian Ke He LKZ [2013] 10Guizhou Science and Technology Department Qian Ke He LH [2014] 7585
6 · The paper itself

Abstract

backgroundAutophagy is a highly conserved homeostatic process in the human body that is responsible for the elimination of aggregated proteins and damaged organelles. Several autophagy-related genes (ARGs) contribute to the process of tumorigenesis and metastasis of prostate cancer (PCa). Also, miRNAs have been proven to modulate autophagy by targeting some ARGs. However, their potential role in PCa still remains unclear.

methodsAn univariate Cox proportional regression model was used to identify 17 ARGs associated with the overall survival (OS) of PCa. Then, a multivariate Cox proportional regression model was used to construct a 6 autophagy-related prognostic genes signature. Patients were divided into low-risk group and high-risk group using the median risk score as a cutoff value. High-risk patients had shorter OS than low-risk patients. Furthermore, the signature was validated by ROC curves. Regarding mRNA and miRNA, 12 differentially expressed miRNAs (DEMs) and 1073 differentially expressed genes (DEGs) were detected via the GEO database. We found that miR-205, one of the DEMs, was negatively regulated the expression of ARG (NKX2-3). Based on STRING analysis results, we found that the NKX2-3 was moderately related to the part of genes among the 6 autophagy-related genes prognostic signature. Further, NKX 2-3 was significantly correlated with OS and some clinical parameters of PCa by cBioProtal. By gene set enrichment analysis (GSEA). Lastly, we demonstrated that the association between NKX2-3 and tumor mutation burden (TMB) and PDCD1 (programmed cell death 1) of PCa.

resultsWe identified that the six ARGs expression patterns are independent predictors of OS in PCa patients. Furthermore, our results suggest that ARGs and miRNAs are inter-related. MiR-205 was negatively regulated the expression of ARG (NKX2-3). Further analysis demonstrated that NKX2-3 may be a potential biomarker for predicting the efficacy of anti-PD-1 therapy in PCa.

conclusionsThe current study may offer a novel autophagy-related prognostic signature and may identify a promising miRNA-ARG pathway for predicting the efficacy of anti-PD-1 therapy in PCa.

Indexed as

AutophagyAntineoplastic Agents, ImmunologicalBiomarkers, TumorGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMaleMicroRNAsPrognosisProgrammed Cell Death 1 ReceptorProstatic NeoplasmsRNA, MessengerSurvival RateTranscriptomeAntineoplastic Agents, ImmunologicalBiomarkers, TumorMicroRNAsPDCD1 protein, humanProgrammed Cell Death 1 ReceptorRNA, MessengerAutophagymiRNAPD-1Prostate cancer

Identifiers

PMID33402116
PMCPMC7786978
OpenAlexW3120508608

What Socratic 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 Socratic graph.