Evidence map›Paper›PMID 35402245›Full record

ArticleFrontiers in oncology2022

Urine- and Blood-Based Molecular Profiling of Human Prostate Cancer.

Gang Chen, Guojin Jia, Fan Chao, Feng Xie, Yue Zhang, Chuansheng Hou, Yong Huang, Haoran Tang, Jianjun Yu, Jihong Zhang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  3. Chromoplexy: A Pathway to Genomic Complexity and Cancer Development.International journal of molecular sciences · 2025
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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

12 authors at 1 institution in 1 country.

Gang ChenDepartment of Urology, Jinshan Hospital, Fudan University, Shanghai, China.
Guojin JiaDepartment of Urology, Jinshan Hospital, Fudan University, Shanghai, China.
Fan ChaoDepartment of Urology, Jinshan Hospital, Fudan University, Shanghai, China.
Feng XieHuidu Shanghai Medical Sciences Ltd, Shanghai, China.
Yue ZhangHuidu Shanghai Medical Sciences Ltd, Shanghai, China.
Chuansheng HouDepartment of Urology, Jinshan Hospital, Fudan University, Shanghai, China.
Yong HuangHuidu Shanghai Medical Sciences Ltd, Shanghai, China.
Haoran TangHuidu Shanghai Medical Sciences Ltd, Shanghai, China.
Jianjun YuHuidu Shanghai Medical Sciences Ltd, Shanghai, China.
Jihong ZhangResearch Center for Clinical Research, Jinshan Hospital, Fudan University, Shanghai, China.
Shidong JiaHuidu Shanghai Medical Sciences Ltd, Shanghai, China.
Guoxiong XuResearch Center for Clinical Research, Jinshan Hospital, Fudan University, Shanghai, China.
Jinshan Hospital of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Prostate cancer (PCa) is one of the most common malignant tumors, accounting for 20% of total tumors ranked first in males. PCa is usually asymptomatic at the early stage and the specificity of the current biomarkers for the detection of PCa is low. The present study evaluates circulating tumor DNA (ctDNA) in blood or urine, which can be used as biomarkers of PCa and the combination of these markers may increase the sensitivity and specificity of the detection of PCa. Methods: Tissue, blood, and urine samples were collected from patients with PCa. All prostate tissue specimens underwent pathological examination. A hybrid-capture-based next-generation sequencing assay was used for plasma and urinary ctDNA profiling. Sequencing data were analyzed by an in-house pipeline for mutation calling. Mutational profiles of PCa and BPH were compared in both plasma and urine samples. Associations of detected mutations and clinical characteristics were statistically analyzed. Results: A significant association of mutation allele frequencies (MAFs) in the blood samples with patients with metastatic PCa rather than patients with primary PCa, and MAFs are changed after treatment in patients with PCa. Further, the number of mutations in urine is not associated with clinical characteristics of PCa patients, but the frequencies of mutation alleles in the urine are associated with patient age. Comparison of cfDNA aberration profiles between urine and blood reveals more alterations in urine than in blood, including Conclusion: This work provides the potential clinical application of urine, in addition to blood, as a powerful and convenient non-invasive approach in personalized medicine for patients with PCa.

Indexed as

biomarkercirculating tumor DNAliquid biopsymutation allele frequencyprostate cancer

Identifiers

PMID35402245
PMCPMC8984469
OpenAlexW4221017548

What OpenQuestion holds

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LicenceCC BY
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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.