Evidence map›Paper›PMID 32385899›Full record

ArticleMolecular oncology2020

Ribonucleotide reductase small subunit M2 is a master driver of aggressive prostate cancer.

Ying Z Mazzu, Joshua Armenia, Subhiksha Nandakumar, Goutam Chakraborty, Yuki Yoshikawa, Lina E Jehane, Gwo-Shu Mary Lee, Mohammad Atiq, Nabeela Khan, Nikolaus Schultz and 1 more

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  4. Multi omics network toxicology andFrontiers in cell and developmental biology · 2026
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  8. GINS2 promotes the progression of human HNSCC by altering RRM2 expression.Cancer biomarkers : section A of Disease markers · 2024
    Article
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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

11 authors at 2 institutions in 1 country.

Ying Z MazzuDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0003-0265-6970
Joshua ArmeniaHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Subhiksha NandakumarHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Goutam ChakrabortyDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Yuki YoshikawaDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Lina E JehaneDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Gwo-Shu Mary LeeDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Mohammad AtiqDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Nabeela KhanDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Nikolaus SchultzHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Philip W KantoffDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Memorial Sloan Kettering Cancer Center · USDana-Farber Cancer Institute · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Although there are molecularly distinct subtypes of prostate cancer, no molecular classification system is used clinically. The ribonucleotide reductase small subunit M2 (RRM2) gene plays an oncogenic role in many cancers. Our previous study elucidated comprehensive molecular mechanisms of RRM2 in prostate cancer (PC). Given the potent functions of RRM2, we set out to determine whether the RRM2 signature can be used to identify aggressive subtypes of PC. We applied gene ontology and pathway analysis in RNA-seq datasets from PC cells overexpressing RRM2. We refined the RRM2 signature by integrating it with two molecular classification systems (PCS and PAM50 subtypes) that define aggressive PC subtypes (PCS1 and luminal B) and correlated signatures with clinical outcomes in six published cohorts comprising 4000 cases of PC. Increased expression of genes in the RRM2 signature was significantly correlated with recurrence, high Gleason score, and lethality of PC. Patients with high RRM2 levels showed higher PCS1 score, suggesting the aggressive PC feature. Consistently, RRM2-regulated genes were highly enriched in the PCS1 signature from multiple PC cohorts. A simplified RRM2 signature (12 genes) was identified by intersecting the RRM2 signature, PCS1 signature, and the PAM50 classifier. Intriguingly, inhibition of RRM2 specifically targets PCS1 and luminal B genes. Furthermore, 11 genes in the RRM2 signature were correlated with enzalutamide resistance by using a single-cell RNA-seq dataset from PC circulating tumor cells. Finally, high expression of RRM2 was associated with an immunosuppressive tumor-immune microenvironment in both primary prostate cancer and metastatic prostate cancer using CIBERSORT analysis and LM22, a validated leukocyte gene signature matrix. These data demonstrate that RRM2 is a driver of aggressive prostate cancer subtypes and contributes to immune escape, suggesting that RRM2 inhibition may be of clinical benefit for patients with PC.

Indexed as

Antineoplastic AgentsBenzamidesBiomarkers, TumorCell Line, TumorCohort StudiesComputational BiologyDatabases, GeneticDrug Resistance, NeoplasmGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyGene SilencingHumansMaleNeoplasm GradingNeoplasm Recurrence, LocalAntineoplastic AgentsBenzamidesBiomarkers, TumorenzalutamideNitrilesPhenylthiohydantoinRibonucleoside Diphosphate Reductaseribonucleotide reductase M2molecular subtypingPAM50PCS subtypingprostate cancerRRM2

Identifiers

PMID32385899
PMCPMC7400792
OpenAlexW3021918917

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.