Evidence map›Paper›PMID 36172886›Full record

ArticleClinical and translational science2022

Liquid biopsy-based targeted gene screening highlights tumor cell subtypes in patients with advanced prostate cancer.

Seta Derderian, Quentin Vesval, Michel D Wissing, Lucie Hamel, Nathalie Côté, Marie Vanhuyse, Cristiano Ferrario, Franck Bladou, Armen Aprikian, Simone Chevalier

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

8 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

10 authors at 3 institutions in 2 countries.

Seta DerderianUrologic Oncology Research Group, Cancer Research Program, Research Institute (RI)-McGill University Health Center (MUHC), Montreal, Canada.
Quentin VesvalUrologic Oncology Research Group, Cancer Research Program, Research Institute (RI)-McGill University Health Center (MUHC), Montreal, Canada.
Michel D WissingUrologic Oncology Research Group, Cancer Research Program, Research Institute (RI)-McGill University Health Center (MUHC), Montreal, Canada.
Lucie HamelUrologic Oncology Research Group, Cancer Research Program, Research Institute (RI)-McGill University Health Center (MUHC), Montreal, Canada.
Nathalie CôtéUrologic Oncology Research Group, Cancer Research Program, Research Institute (RI)-McGill University Health Center (MUHC), Montreal, Canada.
Marie VanhuyseDepartment of Oncology, MUHC and McGill University, Montreal, Canada.
Cristiano FerrarioDepartment of Oncology, Jewish General Hospital (JGH) and McGill University, Montreal, Canada.
Franck BladouDepartment of Urology, Centre Hospitalier Universitaire de Bordeaux, Bordeaux, France.
Armen AprikianUrologic Oncology Research Group, Cancer Research Program, Research Institute (RI)-McGill University Health Center (MUHC), Montreal, Canada.
Simone ChevalierUrologic Oncology Research Group, Cancer Research Program, Research Institute (RI)-McGill University Health Center (MUHC), Montreal, Canada.
McGill University · CAMcGill University Health Centre · CACentre Hospitalier Universitaire de Bordeaux · FR

Funding

CIHR
6 · The paper itself

Abstract

Prostate cancer (PCa) clinical heterogeneity underscores tumor heterogeneity, which may be best defined by cell subtypes. To test if cell subtypes contributing to progression can be assessed noninvasively, we investigated whether 14 genes representing luminal, neuroendocrine, and stem cells are detectable in whole blood RNA of patients with advanced PCa. For each gene, reverse transcription quantitative polymerase chain reaction assays were first validated using RNA from PCa cell lines, and their traceability in blood was assessed in cell spiking experiments. These were next tested in blood RNA of 40 advanced PCa cases and 40 healthy controls. Expression in controls, which was low or negative, was used to define stringent thresholds for gene overexpression in patients to account for normal variation in white blood cells. Thirty-five of 40 patients overexpressed at least one gene. Patients with more genes overexpressed had a higher risk of death (hazard ratio 1.42, range 1.12-1.77). Progression on androgen receptor inhibitors was associated with overexpression of stem (odds ratio [OR] 7.74, range 1.68-35.61) and neuroendocrine (OR 13.10, range 1.24-142.34) genes, while luminal genes were associated with taxanes (OR 2.7, range 1.07-6.82). Analyses in PCa transcriptomic datasets revealed that this gene panel was most prominent in metastases of advanced disease, with diversity among patients. Collectively, these findings support the contribution of the prostate cell subtypes to disease progression. Cell-subtype specific genes are traceable in blood RNA of patients with advanced PCa and are associated with clinically relevant end points. This opens the door to minimally invasive liquid biopsies for better management of this deadly disease.

Indexed as

Early Detection of CancerProstatic NeoplasmsCell Line, TumorHumansLiquid BiopsyMaleRNATranscriptomeRNA

Identifiers

PMID36172886
PMCPMC9652435
OpenAlexW4297964741

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.