Evidence map›Paper›PMID 38862868›Full record

ArticleBreast cancer (Tokyo, Japan)2024

Validation of late recurrence prediction by gene expression profiles and clinicopathological factors in estrogen receptor-positive breast cancer.

Sae Kitano, Ryo Tsunashima, Chikage Kato, Akira Watanabe, Yoshiaki Sota, Saya Matsumoto, Midori Morita, Koichi Sakaguchi, Yasuto Naoi

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Breast cancer (Tokyo, Japan), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed.

  1. Observational
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

9 authors.

Sae KitanoDepartment of Endocrine and Breast Surgery, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-Cho Kawaramachi-Hirokoji, Kamigyo-Ku, Kyoto, 602-8566, Japan.ORCID http://orcid.org/0009-0008-6896-3088
Ryo TsunashimaDepartment of Breast and Endocrine Surgery, Rinku General Medical Center, Rinku Ourai Kita 2-23, Izumisanoshi, Osaka, 598-8577, Japan. r-tsunashima@rgmc.izumisano.osaka.jp.ORCID http://orcid.org/0000-0003-2663-0142
Chikage KatoDepartment of Endocrine and Breast Surgery, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-Cho Kawaramachi-Hirokoji, Kamigyo-Ku, Kyoto, 602-8566, Japan.
Akira WatanabeDepartment of Endocrine and Breast Surgery, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-Cho Kawaramachi-Hirokoji, Kamigyo-Ku, Kyoto, 602-8566, Japan.ORCID http://orcid.org/0000-0003-0496-5945
Yoshiaki SotaDepartment of Breast and Endocrine Surgery, Osaka University Graduate School of Medicine, 2-15 Yamadaoka, Suita, Osaka, 565-0871, Japan.ORCID http://orcid.org/0000-0001-5963-652X
Saya MatsumotoDepartment of Endocrine and Breast Surgery, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-Cho Kawaramachi-Hirokoji, Kamigyo-Ku, Kyoto, 602-8566, Japan.
Midori MoritaDepartment of Endocrine and Breast Surgery, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-Cho Kawaramachi-Hirokoji, Kamigyo-Ku, Kyoto, 602-8566, Japan.ORCID http://orcid.org/0000-0003-4083-4432
Koichi SakaguchiDepartment of Endocrine and Breast Surgery, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-Cho Kawaramachi-Hirokoji, Kamigyo-Ku, Kyoto, 602-8566, Japan.
Yasuto NaoiDepartment of Endocrine and Breast Surgery, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-Cho Kawaramachi-Hirokoji, Kamigyo-Ku, Kyoto, 602-8566, Japan.ORCID http://orcid.org/0000-0002-6090-0137

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe mechanism of late recurrence (LR) of estrogen receptor (ER)-positive breast cancer remains unclear, as previous studies have separately investigated "gene expression profiles" and "clinicopathological factors." Thus, this study aimed to evaluate the predictive capability of LR by combining the two independent factors of gene expression profiles (42-gene classifier: 42GC) and clinicopathological factors (Clinical Treatment Score post-5 years: CTS5) in multiple large cohorts.

methodsWe analyzed microarray CEL file data downloaded from public databases of 28 global cohorts. A total of 2,454 patients with ER-positive breast cancer were analyzed for 42GC, and 1,263 of these, with complete clinicopathological data were analyzed for CTS5.

resultsIn the analysis of recurrent patients, the 42GC LR and CTS5 low-risk group tended to have LR. Notably, in the analysis of patients with and without recurrence, the highest LR rate beyond 5 years was observed in the CTS5 high-risk group. The combination of the 42GC and CTS5 high-risk groups showed the highest LR rate (16.9%), significantly exceeding that of the 42GC non-LR (NLR) and CTS5 low-risk combination (5.41%) (p = 0.038, odds ratio = 3.53). Furthermore, incorporating a third factor, 95GC, potentially reduced the number of patients prioritized for extended hormonal therapy for approximately one-quarter of patients.

conclusionsResults confirmed that the two factors, gene expression profiles and clinicopathological factors, affect the time of recurrence. It also showed that the biological predisposition for LR (CTS5 low-risk) differed from the high LR rate (CTS5 high-risk). In clinical practice, patients with the 42GC LR and CTS5 high-risk combination should be prioritized for extended hormonal therapy. The addition of CTS5 and 95GC to 42GC allows for better risk classification of LR.

Indexed as

Breast NeoplasmsGene Expression ProfilingNeoplasm Recurrence, LocalReceptors, EstrogenAdultAgedBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansMiddle AgedPrognosisTranscriptomeBiomarkers, TumorReceptors, Estrogen42-gene classifierClinical Treatment Score post-5 yearsER-positive breast cancerExtended hormonal therapyLate recurrence

Identifiers

PMID38862868

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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.