Evidence map›Paper›PMID 37002293›Full record

ArticleScientific reports2023

Possible correlation of apical localization of MUC1 glycoprotein with luminal A-like status of breast cancer.

Ryoko Semba, Yoshiya Horimoto, Madoka Sakata-Matsuzawa, Yumiko Ishizuka, Kaori Denda-Nagai, Haruhiko Fujihira, Miki Noji, Hiroko Onagi, Miyu Ichida, Hiroyoshi Miura and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 8 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

15 authors at 2 institutions in 1 country.

Ryoko SembaDepartment of Breast Oncology, Juntendo University Faculty of Medicine, Tokyo, 113-0033, Japan.
Yoshiya HorimotoDepartment of Breast Oncology, Juntendo University Faculty of Medicine, Tokyo, 113-0033, Japan. horimoto@juntendo.ac.jp.ORCID 0000-0001-8935-0768
Madoka Sakata-MatsuzawaDepartment of Breast Oncology, Juntendo University Faculty of Medicine, Tokyo, 113-0033, Japan.
Yumiko IshizukaDepartment of Breast Oncology, Juntendo University Faculty of Medicine, Tokyo, 113-0033, Japan.
Kaori Denda-NagaiIntractable Disease Research Center, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0001-8325-3289
Haruhiko FujihiraDivision of Glycobiologics, Department of Breast Oncology, Juntendo University Faculty of Medicine, Tokyo, Japan.
Miki NojiDivision of Glycobiologics, Department of Breast Oncology, Juntendo University Faculty of Medicine, Tokyo, Japan.ORCID 0000-0002-9768-8969
Hiroko OnagiDepartment of Human Pathology, Juntendo University Faculty of Medicine, Tokyo, Japan.
Miyu IchidaDepartment of Human Pathology, Juntendo University Faculty of Medicine, Tokyo, Japan.
Hiroyoshi MiuraDepartment of Surgery, Koshigaya Municipal Hospital, Saitama, Japan.
Junichiro WatanabeDepartment of Breast Oncology, Juntendo University Faculty of Medicine, Tokyo, 113-0033, Japan.ORCID 0000-0001-9226-895X
Mitsue SaitoDepartment of Breast Oncology, Juntendo University Faculty of Medicine, Tokyo, 113-0033, Japan.
Tsuyoshi SaitoDepartment of Human Pathology, Juntendo University Faculty of Medicine, Tokyo, Japan.ORCID 0000-0001-9690-8440
Atsushi ArakawaDepartment of Human Pathology, Juntendo University Faculty of Medicine, Tokyo, Japan.
Tatsuro IrimuraDivision of Glycobiologics, Department of Breast Oncology, Juntendo University Faculty of Medicine, Tokyo, Japan.ORCID 0000-0002-4709-3131
Juntendo University · JPKoshigaya Municipal Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adjuvant chemotherapy has played a major role in the treatment of hormone receptor-positive breast cancer for many years. To better determine which patient subsets need adjuvant chemotherapy, various gene expression analyses have been developed, but cost-effective tools to identify such patients remain elusive. In the present report, we retrospectively investigated immunohistochemical expression and subcellular localization of MUC1 in primary tumors and examined their relationship to tumor malignancy, chemotherapy effect and patient outcomes. We retrospectively examined three patient cohorts with hormone receptor-positive/human epidermal growth factor receptor 2-negative invasive breast cancer: 51 patients who underwent 21-gene expression analysis (multi-gene assay-cohort), 96 patients who received neoadjuvant chemotherapy (neoadjuvant chemotherapy-cohort), and 609 patients whose tumor tissue was used in tissue-microarrays (tissue-microarray-cohort). The immunohistochemical staining pattern of the anti-MUC1 monoclonal antibody, Ma695, was examined in cancer tissues, and subcellular localization was determined as apical, cytoplasmic or negative. In the multi-gene assay-cohort, tumors with apical patterns had the lowest recurrence scores, reflecting lower tumor malignancy, and were significantly lower than MUC1-negative tumors (P = 0.038). In the neoadjuvant chemotherapy-cohort, there was no correlation between MUC1 staining patterns and effects of chemotherapy. Finally, in the tissue-microarray-cohort, we found that patients with apical MUC1 staining patterns had significantly longer disease-free-survival and overall survival than other patterns (P = 0.020 and 0.039, respectively). Our data suggest that an apical MUC1 staining pattern indicates luminal A-likeness. Assessment of the subcellular localization of MUC1 glycoprotein may be useful for identifying patients who can avoid adjuvant chemotherapy.

Indexed as

Breast NeoplasmsDisease-Free SurvivalFemaleGlycoproteinsHumansMucin-1Retrospective StudiesGlycoproteinsMUC1 protein, humanMucin-1

Identifiers

PMID37002293
PMCPMC10066179
OpenAlexW4362464838

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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.