Evidence map›Paper›PMID 37729607›Full record

ArticleAnnals of medicine2023

A 12-gene panel in estimating hormone-treatment responses of castration-resistant prostate cancer patients generated using a combined analysis of bulk and single-cell sequencing data.

Juanlan Huang, Dale Liu, Jun Li, Jing Xu, Shaowei Dong, Hao Zhang

Open access · goldAbstract read
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Article in Annals of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

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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

7 citing papers in PubMed, 7 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

6 authors at 3 institutions in 1 country.

Juanlan HuangDepartment of Health Management, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, Guangzhou, China.
Dale LiuThe First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.
Jun LiDepartment of Hematology and Oncology, Shenzhen Children's Hospital of China Medical University, Shenzhen, China.
Jing XuThe First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.
Shaowei DongDepartment of Hematology and Oncology, Shenzhen Children's Hospital of China Medical University, Shenzhen, China.ORCID 0000-0002-2082-8417
Hao ZhangDepartment of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Jinan University · CNShenzhen Children's Hospital · CNShantou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCastration-resistant prostate cancer (CRPC) represents one type of advanced prostate cancer (PCa) with a median survival time of 1-2 years. Currently, there is a lack of reliable gene panels in predicting hormone treatment (HT) responses due to limited knowledge of CRPC-specific tumor-microenvironment (TME) characteristics.

methodsIn this study, we first screened for up-regulated genes in CRPC samples using bulk-sequencing data retrieved from TCGA online database, and further investigated the expression status of these genes in four sets of downloaded single-cell RNA sequencing (scRNAseq) data: GSE117403 containing 16 normal human prostate samples; GSE141445 containing 13 PCa samples; GSE176031 containing 11 PCa samples and GSE137829 containing 6 CRPC samples.

resultsWe identified a series of CRPC-specific TME characteristics including an enriched number of

conclusionsBased on these unique TME characteristics of CRPC, we established a prediction tool for estimating the duration of HT responses in PCa treatment. Our results suggest mechanisms by which prostate cancer becomes castrate resistant. Further study of PEG10 (and/or others) to evaluate therapeutic efficacy should be considered.

Indexed as

Prostatic Neoplasms, Castration-ResistantDatabases, FactualHormonesHumansMacrophagesMaleT-Cell ExhaustionTumor MicroenvironmentHormones12-gene panelcombined analysisCRPChormone-treatmentscRNAseq data

Identifiers

PMID37729607
PMCPMC10512812
OpenAlexW4386882306

What OpenQuestion holds

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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.