Evidence map›Paper›PMID 37563543›Full record

ArticleBMC cancer2023

Mechanism of prognostic marker SPOCK3 affecting malignant progression of prostate cancer and construction of prognostic model.

Jiawen Luo, Cong Lai, Xiaoting Xu, Juanyi Shi, Jintao Hu, Kaixuan Guo, Yelisudan Mulati, Yunfei Xiao, Degeng Kong, Cheng Liu and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 11 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

11 authors at 2 institutions in 1 country.

Jiawen Luo *Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang West Road, Guangzhou, 510000, China.
Cong Lai *Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang West Road, Guangzhou, 510000, China.
Xiaoting Xu *Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang West Road, Guangzhou, 510000, China.
Juanyi ShiDepartment of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang West Road, Guangzhou, 510000, China.
Jintao HuDepartment of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang West Road, Guangzhou, 510000, China.
Kaixuan GuoDepartment of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang West Road, Guangzhou, 510000, China.
Yelisudan MulatiDepartment of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang West Road, Guangzhou, 510000, China.
Yunfei XiaoDepartment of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang West Road, Guangzhou, 510000, China.
Degeng KongDepartment of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang West Road, Guangzhou, 510000, China.
Cheng LiuDepartment of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang West Road, Guangzhou, 510000, China. liuch278@mail.sysu.edu.cn.
Kewei XuDepartment of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang West Road, Guangzhou, 510000, China. xukewei@mail.sysu.edu.cn.
Sun Yat-sen University · CNSun Yat-sen Memorial Hospital · CN

Funding

Guangdong Provincial Clinical Research Center for Urological Diseases 2020B1111170006Guangdong Science and Technology Department 2020B1212060018Guangzhou Science and Technology Planning Project 202011020004Key Areas Research and Development Program of Guangdong 2020B111114002Medical Science and Technology Research Foundation of Guangdong Province A2022541Medical Scientific Research Foundation of Guangdong Province C2018060National Natural Science Foundation of China 82072841Natural Science Foundation of Guangdong Province 2021A1515010199Yixian Clinical Research Project of Sun Yat-sen Memorial Hospital sys-c-201802
6 · The paper itself

Abstract

backgroundSPOCK3 is a secreted extracellular matrix proteoglycan. This study aimed to investigate the effect of SPOCK3 on the malignant progression of prostate cancer and to construct a prognostic model to predict DFS of patients with prostate cancer.

methodsClinical and transcriptome sequencing data for prostate cancer were download from the TCGA and GEO databases. The survival curve showed that SPOCK3 has prognostic significance. GO, KEGG, and GSEA enrichment analysis were used to investigate how SPOCK3 affects the malignant progression of prostate cancer. Based on ESTIMATE and ssGSEA, the relationship between SPOCK3 and immune cell infiltration in prostate cancer tissue was clarified. Univariate and multivariate COX regression analysis was used to identify the independent prognostic factors of prostate cancer OS and to construct a nomogram. The calibration curve and ROC curves were drawn to assess the nomogram's predictive power.

resultsThe survival curve revealed that patients in the low-expression group of SPOCK3 had a poor prognosis. According to enrichment analysis, SOPCK3-related genes were enriched in collagen-containing extracellular matrix, PI3K-Akt, and MAPK signaling pathway. ESTIMATE analysis revealed that SPOCK3 expression was positively correlated with the interstitial score, immune score, and ESTIMATE score. The results of ssGSEA analysis revealed that the infiltration levels of Mast cells, NK cells, and B cells were higher in the SPOCK3 high expression group. Cox regression analysis showed that SPOCK3 expression level, T and Gleason score were independent risk factors of patient prognosis, and a nomogram was constructed. The ROC curve showed the AUCs of DFS at 2, 3, and 5 years.

conclusionSPOCK3 is a protective factor for DFS in prostate cancer patients. SPOCK3 is significantly associated with immune cell infiltration. The prognostic model constructed based on SPOCK3 has excellent predictive performance.

Indexed as

Phosphatidylinositol 3-KinasesProstatic NeoplasmsArea Under CurveHumansMaleNomogramsPrognosisProteoglycansPhosphatidylinositol 3-KinasesProteoglycansSPOCK3 protein, humanImmune cellNomogramPrognosisProstate cancerSPOCK3

Identifiers

PMID37563543
PMCPMC10416445
OpenAlexW4385717965

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.