Evidence map›Paper›PMID 41022779›Full record

ArticleNPJ breast cancer2025

Tumor-specific major histocompatibility-II expression predicts pathological complete response to atezolizumab combined to chemotherapy in triple-negative breast cancer.

Justin M Balko, Luca Licata, Xiao Qian Wang, Matteo Dugo, Chiun-Sheng Huang, Daniel Egle, Begoña Bermejo, Claudio Zamagni, Marc Thill, Antonio Anton and 17 more

Abstract read
In one paragraph

Article in NPJ breast cancer, 2025. 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

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

1 citing paper in PubMed.

  1. Review
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

27 authors.

Justin M BalkoDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. justin.balko@vumc.org.
Luca LicataDepartment of Medical Oncology, IRCCS San Raffaele Hospital, Milan, Italy.
Xiao Qian WangCRUK Cambridge Institute, University of Cambridge, Cambridge, UK.
Matteo DugoDepartment of Medical Oncology, IRCCS San Raffaele Hospital, Milan, Italy.
Chiun-Sheng HuangNational Taiwan University Hospital and College of medicine, National Taiwan University, Taipei, Taiwan.
Daniel EgleDepartment of Gynecology, Medical University Innsbruck, Innsbruck, Austria.
Begoña BermejoMedical Oncology, Hospital Clínico Universitario de Valencia, Biomedical Research Institute INCLIVA, Valencia, Spain.
Claudio ZamagniIRCCS Azienda Ospedaliero-universitaria di Bologna, Municipality, Italy.
Marc ThillDepartment of Gynecology and Gynecological Oncology Agaplesion Markus Krankenhaus, Frankfurt, Germany.
Antonio AntonHospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón (IISA), Universidad de Zaragoza, Zaragoza, Spain.
Stefania RussoDepartment of Oncology, Santa Maria della Misericordia University Hospital, Azienda Sanitaria Universitaria Friuli Centrale (ASUFC), Udine, Italy.
Elena SevillanoHM CIOCC MADRID (Centro Integral Oncológico Clara Campal), Laboratorio de Innovación en Oncología, Instituto de Investigación Sanitaria HM Hospitales, Madrid, Spain.
Eva Maria CiruelosHospital Universitario 12 de Octubre, Madrid, Spain.
Richard GreilParacelsus Medical University Salzburg, Salzburg Cancer Research Institute-Center for Clinical Cancer and Immunology Trials, Cancer Cluster Salzburg, Salzburg, Austria.
Vladimir SemiglazovN. N. Petrov Research Institute of Oncology, St. Petersburg, Russian Federation.
Marco ColleoniDivision of Medical Senology, IEO European Institute of Oncology, IRCCS, Milan, Italy.
Catherine M KellyDepartment of Medical Oncology, Mater Private Hospital, Dublin, Ireland.
Gabriella MarianiFondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Lucia Del MastroClinical Oncology Unit; IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Stefania ZambelliDepartment of Medical Oncology, IRCCS San Raffaele Hospital, Milan, Italy.
Giulia VialeDepartment of Medical Oncology, IRCCS San Raffaele Hospital, Milan, Italy.
Maurizio CallariFondazione Michelangelo, Milan, Italy.
Giuseppe VialeDepartment of Pathology & Laboratory Medicine, IEO European Institute of Oncology, IRCCS, Milan, Italy.
Lajos PusztaiYale Cancer Center, Yale School of Medicine, New Haven, CT, USA.
Luca Gianni *International Breast Cancer Research Committee-Fondazione Michelangelo, Milan, Italy.
H Raza Ali *CRUK Cambridge Institute, University of Cambridge, Cambridge, UK.
Giampaolo Bianchini *Department of Medical Oncology, IRCCS San Raffaele Hospital, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adding immune checkpoint inhibitors to neoadjuvant chemotherapy improves outcomes in early-stage triple-negative breast cancer (TNBC), but a fraction of patients derive benefit. Tumor-specific MHC-II (tsMHC-II) expression has been shown to be a predictive biomarker of pathological complete response (pCR) to neoadjuvant chemo-immunotherapy in early-stage TNBC. We performed biomarker analysis of the phase III NeoTRIP trial where patients were randomized to neoadjuvant carboplatin and nab-paclitaxel±atezolizumab. Imaging mass cytometry was used to assess tsMHC-II expression in tumor samples. TsMHC-II positivity was predefined as ≥5% of tumor cells expressing MHC-II, and at an 80th percentile exploratory cutoff. TsMHC-II positivity was associated with a higher pCR rate in the atezolizumab arm (OR:2.58; P = 0.016), but not in the chemotherapy-only arm (OR:1.37; P = 0.34) and these results were stronger using the exploratory cutoff. TsMHC-II expression is associated with improved response to neoadjuvant chemo-immunotherapy in early TNBC and could represent a clinically useful predictive biomarker for treatment personalization.

Identifiers

PMID41022779
PMCPMC12480687

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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.