Evidence map›Paper›PMID 40071471›Full record

ReviewCurrent opinion in oncology2025

Genomic and transcriptomic sequencing in prostate cancer.

Safiullah Rifai, Azimullah Rifai, Xiaolei Shi, Mohammad Afnan Khan, Wei Guang, Linbo Wang, Luke Tallon, Arif Hussain

Abstract readReview
In one paragraph

Review in Current opinion in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Safiullah RifaiUniversity of Maryland Greenebaum Comprehensive Cancer Center.
Azimullah RifaiUniversity of Maryland Greenebaum Comprehensive Cancer Center.
Xiaolei ShiUniversity of Maryland Greenebaum Comprehensive Cancer Center.
Mohammad Afnan KhanUniversity of Maryland Greenebaum Comprehensive Cancer Center.
Wei GuangUniversity of Maryland Greenebaum Comprehensive Cancer Center.
Linbo WangUniversity of Maryland Greenebaum Comprehensive Cancer Center.
Luke TallonInstitute of Genomic Sciences.
Arif HussainUniversity of Maryland Greenebaum Comprehensive Cancer Center.

Funding

UNIVERSITY OF MARYLAND GREENEBAUM CANCER CENTERSUPPORT GRANTP30CA134274 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI FEYRUZ VIRGILIA RASSOOL · 2008 to 2026
$51.0M
Training Grant in Cancer BiologyT32CA154274 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI Toni M Antalis, CURT I CIVIN · 2011 to 2026
$6.8M
NCI NIH HHS P30 CA134274NCI NIH HHS T32 CA154274
6 · The paper itself

Abstract

purpose of reviewGenomic and transcriptomic sequencing technologies have revolutionized our ability to characterize prostate cancer at the molecular level. The underlying premise of next-generation sequencing technologies and their current and evolving applications in prostate cancer management are provided in the review. RECENT

findingsImproved methodologies are allowing timely sequencing of the coding regions or both the coding and noncoding regions of the genome to help identify potential mutations and structural variations in the prostate cancer genome, some of which are currently also targetable therapeutically. DNA microarray- based differential gene expression has been supplanted by RNA sequencing (RNA-seq), which not only allows for more accurate quantitation but also nucleotide-level resolution to investigate the entire transcriptome, including alternative gene spliced transcripts and noncoding RNA transcripts, whose full clinical implications have yet to be fully understood and realized. Gene classifier platforms that predict risk of recurrence or metastasis are being incorporated into prostate cancer management algorithms. In the appropriate clinical context, not only somatic but also germline mutation testing is being recommended. SUMMARY: Continued clinical integration of sequencing technologies and ongoing research will lead to improved understanding of prostate cancer biology and prostate cancer treatment.

Indexed as

GenomicsProstatic NeoplasmsTranscriptomeGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansMaledecipher scoregenomeprostate cancerRNA-seqsequencingtranscriptomewhole exome sequencingwhole genome sequencing

Identifiers

PMID40071471
PMCPMC13034484

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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.