Evidence map›Paper›PMID 38468323›Full record

ArticleBreast cancer research : BCR2024

HER2-low and tumor infiltrating lymphocytes in triple-negative breast cancer: Are they connected?

Ximena Baez-Navarro, Nadine S van den Ende, Anh H Nguyen, Renata Sinke, Pieter Westenend, Johannes Bastiaan van Brakel, Claudia Stobbe, Johan Westerga, Carolien H M van Deurzen

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Breast cancer research : BCR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

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  15. Targeting low-risk triple-negative breast cancer: a review on de-escalation strategies for a new era.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2025
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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

9 authors at 3 institutions in 2 countries.

Ximena Baez-NavarroDepartment of Pathology, Erasmus University Medical Center, 3015 GD, Rotterdam, The Netherlands. x.baeznavarro@erasmusmc.nl.
Nadine S van den EndeDepartment of Pathology, Erasmus University Medical Center, 3015 GD, Rotterdam, The Netherlands.
Anh H NguyenDepartment of Pathology, Erasmus University Medical Center, 3015 GD, Rotterdam, The Netherlands.
Renata SinkeDepartment of Pathology, Pathan B.V., Franciscus Gasthuis & Vlietland, Rotterdam, The Netherlands.
Pieter WestenendLaboratory of Pathology, PAL Dordrecht, Dordrecht, The Netherlands.
Johannes Bastiaan van BrakelDepartment of Pathology, Skåne University Hospital, Malmö, Sweden.
Claudia StobbeDepartment of Pathology, Pathan B.V., Franciscus Gasthuis & Vlietland, Rotterdam, The Netherlands.
Johan WestergaDepartment of Pathology, Pathan B.V., Franciscus Gasthuis & Vlietland, Rotterdam, The Netherlands.
Carolien H M van DeurzenDepartment of Pathology, Erasmus University Medical Center, 3015 GD, Rotterdam, The Netherlands.
Erasmus MC · NLSint Franciscus Gasthuis · NLSkåne University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most patients with triple-negative breast cancer (TNBC) are not candidates for targeted therapy, leaving chemotherapy as the primary treatment option. Recently, immunotherapy has demonstrated promising results in TNBC, due to its immunogenicity. In addition, a novel antibody-drug conjugate, namely, trastuzumab-deruxtecan, has shown effectiveness in TNBC patients with low-HER2 expression (HER2-low). These novel treatment options raise the question about the potential association between the density of stromal tumor-infiltrating lymphocytes (sTILs) and the level of HER2 expression. We aimed to evaluate the association between the level of HER2 expression (HER2-low versus HER2-0) and density of sTILs in TNBC patients, and how they impact the response to neoadjuvant chemotherapy (NAC). This was a retrospective multicenter study including all TNBC patients diagnosed between 2018 and 2022. Central pathology review included sTILs percentages and level of HER2 expression. Tumors were reclassified as either HER2-0 (HER2 IHC 0) or HER2-low (IHC 1 + or 2 + with negative reflex test). Various clinicopathologic characteristics, including sTILs density, and response to NAC were compared between HER2-0 and HER2-low cases. In total, 753 TNBC patients were included in this study, of which 292 patients received NAC. Interobserver agreement between the original pathology report and central review was moderate (77% had the same IHC status after reclassification in either HER2-0 or HER2-low; k = 0.45). HER2-low TNBC represented about one third (36%) of the tumors. No significant difference in sTILs density or complete pathologic response rate was found between HER2-0 and HER2-low cases (p = 0.476 and p = 0.339, respectively). The density of sTILs (≥ 10% sTILs vs. < 10%) was independently associated with achieving a pCR (p = 0.011). In conclusion, no significant association was found between HER2-low status and density of sTILs nor response to NAC. Nonetheless, sTILs could be an independent biomarker for predicting NAC response in TNBC patients.

Indexed as

Breast NeoplasmsTriple Negative Breast NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorFemaleHumansLymphocytes, Tumor-InfiltratingNeoadjuvant TherapyPrognosisRetrospective StudiesBiomarkers, TumorHER2-lowNeoadjuvant chemotherapyTILsTriple-negative breast cancer

Identifiers

PMID38468323
PMCPMC10926638
OpenAlexW4392648243

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.