Evidence map›Paper›PMID 32331421›Full record

ArticleInternational journal of molecular sciences2020

G2M Cell Cycle Pathway Score as a Prognostic Biomarker of Metastasis in Estrogen Receptor (ER)-Positive Breast Cancer.

Masanori Oshi, Hideo Takahashi, Yoshihisa Tokumaru, Li Yan, Omar M Rashid, Ryusei Matsuyama, Itaru Endo, Kazuaki Takabe

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 1 pooled it
9.0field-weighted citation impact, top 1% 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

105 citing papers in PubMed, 1 synthesis or guideline pooled it, 162 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Multi-omic Profiling of Recurrence Risk Across Breast Cancer Subtypes.medRxiv : the preprint server for health sciences · 2026
    Article
  6. Andean Berry (Molecules (Basel, Switzerland) · 2026
    Article
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45 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 2 countries.

Masanori OshiDepartment of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.ORCID 0000-0002-1404-1570
Hideo TakahashiDepartment of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.ORCID 0000-0003-3135-9457
Yoshihisa TokumaruDepartment of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.ORCID 0000-0003-2481-7739
Li YanDepartment of Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.ORCID 0000-0002-4792-9998
Omar M RashidDepartment of Surgery, Holy Cross Hospital, Michael and Dianne Bienes Comprehensive Cancer Center, Fort Lauderdale, FL 33308, USA.ORCID 0000-0003-2898-2459
Ryusei MatsuyamaDepartment of Gastroenterological Surgery, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan.
Itaru EndoDepartment of Gastroenterological Surgery, Yokohama City University Graduate School of Medicine, Yokohama 236-0004, Japan.
Kazuaki TakabeDepartment of Surgical Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.ORCID 0000-0002-6435-4241
Roswell Park Comprehensive Cancer Center · USYokohama City University · JPHoly Cross Hospital · US

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MARK G FRATTINI · 1985 to 2026
$116.6M
Sphingosine-1 Phosphate in Breast Cancer Progression and LymphangiogenesisR01CA160688 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI TAKABE, KAZUAKI · 2012 to 2016
$1.5M
NCI NIH HHS P30-CA016056NIH HHS R01CA160688Susan G. Komen CCR17481211
6 · The paper itself

Abstract

The vast majority of breast cancer death is a result of metastasis. Thus, accurate identification of patients who are likely to have metastasis is expected to improve survival. The G2M checkpoint plays a critical role in cell cycle. We hypothesized that breast cancer tumors with high activity of G2M pathway genes are more aggressive and likely to metastasize. To test this, we used the single-sample gene set variation analysis method to calculate the score for the Hallmark G2M checkpoint pathway using gene expression data of a total of 4626 samples from 12 human breast cancer cohorts. As expected, a high G2M pathway score correlated with enriched tumor expression of other cell proliferation-related gene sets. The score was significantly associated with clinical aggressive features of tumors and patient survival in estrogen receptor (ER)-positive/human epidermal growth factor receptor 2 (HER2)-negative breast cancer. Interestingly, a high G2M score of metastasis tumors was also significantly associated with worse survival. In primary as well as metastasis tumors with high scores, the infiltration of both pro- and anti-cancerous immune cells increased. Tumor G2M score was also associated with treatment response to systemic chemotherapy in ER-positive/HER2-negative cancer, and was predictive of response to cyclin-dependent kinase inhibition therapy.

Indexed as

Biomarkers, TumorG2 Phase Cell Cycle CheckpointsSignal TransductionBreast NeoplasmsCell ProliferationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateNeoplasm MetastasisNeoplasm StagingPrognosisReceptors, EstrogenT-Lymphocyte SubsetsBiomarkers, TumorReceptors, Estrogenbiomarkerbreast cancercell cycleG2Mgene setmetastasispathway analysistumor gene expression

Identifiers

PMID32331421
PMCPMC7215898
OpenAlexW3020251873

What OpenQuestion holds

Textmetadata
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.