Evidence map›Paper›PMID 36792093›Full record

ArticleThe world journal of men's health2023

Sung Han Kim, Jae Young Joung, Weon Seo Park, Jongkeun Park, Jin Seok Lee, Boram Park, Dongwan Hong

Open access · diamondAbstract read
In one paragraph

Article in The world journal of men's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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 2 countries.

Sung Han KimDepartment of Urology, Center for Urological Cancer, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0002-1689-5203
Jae Young JoungDepartment of Urology, Center for Urological Cancer, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0002-7971-211X
Weon Seo ParkDepartment of Pathology, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0002-0035-1455
Jongkeun ParkDepartment of Medical Informatics, College of Medicine, The Catholic University, Seoul, Korea.ORCID https://orcid.org/0000-0001-8311-6655
Jin Seok LeeDepartment of Medical Informatics, College of Medicine, The Catholic University, Seoul, Korea.ORCID https://orcid.org/0000-0003-4120-8708
Boram ParkResearch Institute, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0003-2683-8795
Dongwan HongDepartment of Medical Informatics, College of Medicine, The Catholic University, Seoul, Korea.ORCID https://orcid.org/0000-0002-7816-1299
National Cancer Center · KRNational Cancer Center · USSamsung Medical Center · KRUniversity of North Carolina at Chapel Hill · US

Funding

Catholic Medical Center Research FoundationNational Cancer Center 1610450National Cancer Center 1810022-1National Cancer Center 2111090-2National Research Foundation of Korea NRF-2021M3H9A2097227National Research Foundation of Korea NRF-2022R1A2C3008162
6 · The paper itself

Abstract

purposeThis study aimed to identify metabolic genes associated with non-metastatic prostate cancer progression using The Cancer Genome Atlas (TCGA) datasets and validate their prognostic role by assessing patients' immunohistochemical prostatectomy specimens. MATERIALS AND

methodsSeveral metabolic candidate genes analyzed were highly correlated with cancer progression to biochemical recurrence (BCR) and deaths in 335 patients' genetic information from TCGA datasets. Those candidate genes and their expressions in tissue specimens were validated retrospectively by immunohistochemical analysis of radical prostatectomy specimens collected from 514 consecutive patients with non-metastatic prostate cancer between 2000 and 2015. The Cox proportional-hazards model was used to predict the prognostic role of each candidate gene expression in BCR and survival prognoses with a statistical significance of p-value <0.05. Twenty metabolic genes were identified by own developed software (Targa; https://github.com/cgab-ncc/TarGA), whose median expression levels consistently increased with cancer progression to the BCR and deaths.

resultsFive metabolic genes (

conclusions

Indexed as

Big dataMetabolismProstate cancerTumor staging

Identifiers

PMID36792093
PMCPMC10307661
OpenAlexW4320901954

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.