Evidence map›Paper›PMID 34671471›Full record

ArticleMolecular and clinical oncology2021

Prognostic value of tumor-infiltrating lymphocytes in estrogen receptor-positive and human epidermal growth factor receptor 2-negative breast cancer.

Chikako Honda, Sasagu Kurozumi, Ayaka Katayama, Bishoy Hanna-Khalil, Kei Masuda, Yuko Nakazawa, Misato Ogino, Sayaka Obayashi, Reina Yajima, Takaya Makiguchi and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Molecular and clinical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 16 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

14 authors at 3 institutions in 2 countries.

Chikako HondaDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
Sasagu KurozumiDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
Ayaka KatayamaDepartment of Diagnostic Pathology, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
Bishoy Hanna-KhalilSchool of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK.
Kei MasudaDepartment of Diagnostic Pathology, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
Yuko NakazawaDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
Misato OginoDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
Sayaka ObayashiDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
Reina YajimaDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
Takaya MakiguchiDepartment of Oral and Maxillofacial Surgery, and Plastic Surgery, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
Tetsunari OyamaDepartment of Diagnostic Pathology, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
Jun HoriguchiDepartment of Breast Surgery, International University of Health and Welfare, Chiba 286-8520, Japan.
Ken ShirabeDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
Takaaki FujiiDepartment of General Surgical Science, Gunma University Graduate School of Medicine, Maebashi, Gunma 371-8511, Japan.
Gunma University · JPInternational University of Health and Welfare · JPQueen Mary University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor-infiltrating lymphocytes (TILs) are a significant prognostic factor in triple-negative breast cancer. However, the clinicopathological significance of TILs in estrogen receptor (ER)-positive and human epidermal growth factor receptor 2 (HER2)-negative breast cancer remains unclear. The purpose of the present study was to evaluate the role of TILs in the prognosis of ER-positive and HER2-negative breast cancer. A total of 65 consecutive patients with ER-positive and HER2-negative breast cancer were examined. TILs in stromal tissue (str-TILs) were graded using the International TILs Working Group criteria. The association between several clinicopathological factors and TIL grade were investigated, and the prognostic impact of TILs was compared between luminal A-like and luminal B-like breast cancer. A total of 51 patients (78.5%) had low-grade (0-10%), 11 (16.9%) had intermediate (10-40%) and 3 (4.6%) had high-grade (40-90%) str-TIL levels. There was a significant association between high levels of Ki67 expression and a high str-TIL count. Relapse-free survival was significantly worse in patients with luminal B-like cancer compared with that in patients with luminal A-like cancer. Patients with an intermediate or high str-TIL count had a better prognosis compared with those with a low str-TIL count. All patients with luminal B-like cancer and intermediate or high str-TIL levels developed no recurrence during follow-up. In conclusion, there was a significant correlation between high-grade str-TIL levels and high tumor cell proliferation rate, as well as high levels of Ki67 expression.

Indexed as

estrogen receptor-positive breast cancerhuman epidermal growth factor receptor 2-negative breast cancerinvasive breast cancerluminal B-like typetumor-infiltrating lymphocytes

Identifiers

PMID34671471
PMCPMC8521382
OpenAlexW3205254405

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.