Evidence map›Paper›PMID 35954408›Full record

ReviewCancers2022

Advances in the Current Understanding of the Mechanisms Governing the Acquisition of Castration-Resistant Prostate Cancer.

Yifeng Mao, Gaowei Yang, Yingbang Li, Guowu Liang, Wangwang Xu, Mingqiu Hu

Abstract readReview
In one paragraph

Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Roles of NOLC1 in cancers and viral infection.Journal of cancer research and clinical oncology · 2023
    Review
  6. Review
  7. Review
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.

Yifeng MaoDepartment of Urology, The Second Affiliated Hospital of Bengbu Medical College, Bengbu 233041, China.
Gaowei YangAnhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical University, Bengbu 233030, China.
Yingbang LiDepartment of Center of Science, Maoming People's Hospital, Maoming 525000, China.
Guowu LiangDepartment of Center of Science, Maoming People's Hospital, Maoming 525000, China.
Wangwang XuAnhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical University, Bengbu 233030, China.
Mingqiu HuDepartment of Urology, The Second Affiliated Hospital of Bengbu Medical College, Bengbu 233041, China.ORCID 0000-0003-1040-5856

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite aggressive treatment and androgen-deprivation therapy, most prostate cancer patients ultimately develop castration-resistant prostate cancer (CRPC), which is associated with high mortality rates. However, the mechanisms governing the development of CRPC are poorly understood, and androgen receptor (AR) signaling has been shown to be important in CRPC through AR gene mutations, gene overexpression, co-regulatory factors, AR shear variants, and androgen resynthesis. A growing number of non-AR pathways have also been shown to influence the CRPC progression, including the Wnt and Hh pathways. Moreover, non-coding RNAs have been identified as important regulators of the CRPC pathogenesis. The present review provides an overview of the relevant literature pertaining to the mechanisms governing the molecular acquisition of castration resistance in prostate cancer, providing a foundation for future, targeted therapeutic efforts.

Indexed as

androgen receptordestructive resistance prostate cancerHh pathwayncRNAsWnt pathway

Identifiers

PMID35954408
PMCPMC9367587

What OpenQuestion holds

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LicenceCC BY
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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.