Evidence map›Paper›PMID 38396008›Full record

ArticleNPJ genomic medicine2024

Single cell-transcriptomic analysis informs the lncRNA landscape in metastatic castration resistant prostate cancer.

Debanjan Saha, Ha X Dang, Meng Zhang, David A Quigley, Felix Y Feng, Christopher A Maher

Open access · goldAbstract read
In one paragraph

Article in NPJ genomic medicine, 2024. 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
2.6field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 9 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 2 institutions in 1 country.

Debanjan SahaMedical Scientist Training Program, Washington University in St. Louis, St. Louis, MO, USA.
Ha X DangDepartment of Internal Medicine, Washington University in St. Louis, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-9342-9249
Meng ZhangDepartment of Radiation Oncology, University of California at San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-1042-6294
David A QuigleyHelen Diller Family Comprehensive Cancer Center, University of California at San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-4726-1473
Felix Y FengDepartment of Radiation Oncology, University of California at San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-0963-7687
Christopher A MaherDepartment of Internal Medicine, Washington University in St. Louis, St. Louis, MO, USA. christophermaher@wustl.edu.ORCID http://orcid.org/0000-0002-9035-603X
University of California, San Francisco · USWashington University in St. Louis · US

Funding

NATIONAL RESEARCH SERVICE AWARD-MEDICAL SCIENTISTT32GM007200 · NIGMS · WASHINGTON UNIVERSITY · PI YOKOYAMA, WAYNE M. · 1985 to 2024
$59.8M
NIGMS NIH HHS T32 GM007200U.S. Department of Defense (United States Department of Defense) W81XWH-19-1-0682
6 · The paper itself

Abstract

Metastatic castration-resistant prostate cancer (mCRPC) is a lethal form of prostate cancer. Although long-noncoding RNAs (lncRNAs) have been implicated in mCRPC, past studies have relied on bulk sequencing methods with low depth and lack of single-cell resolution. Hence, we performed a lncRNA-focused analysis of single-cell RNA-sequencing data (n = 14) from mCRPC biopsies followed by integration with bulk multi-omic datasets. This yielded 389 cell-enriched lncRNAs in prostate cancer cells and the tumor microenvironment (TME). These lncRNAs demonstrated enrichment with regulatory elements and exhibited alterations during prostate cancer progression. Prostate-lncRNAs were correlated with AR mutational status and response to treatment with enzalutamide, while TME-lncRNAs were associated with RB1 deletions and poor prognosis. Finally, lncRNAs identified between prostate adenocarcinomas and neuroendocrine tumors exhibited distinct expression and methylation profiles. Our findings demonstrate the ability of single-cell analysis to refine our understanding of lncRNAs in mCRPC and serve as a resource for future mechanistic studies.

Identifiers

PMID38396008
PMCPMC10891057
OpenAlexW4392099090

What OpenQuestion holds

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LicenceCC BY
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.