Evidence map›Paper›PMID 33963012›Full record

Trial reportJournal for immunotherapy of cancer2021

Immune cell composition and functional marker dynamics from multiplexed immunohistochemistry to predict response to neoadjuvant chemotherapy in the WSG-ADAPT-TN trial.

Monika Graeser, Friedrich Feuerhake, Oleg Gluz, Valery Volk, Michael Hauptmann, Katarzyna Jozwiak, Matthias Christgen, Sherko Kuemmel, Eva-Maria Grischke, Helmut Forstbauer and 12 more

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal for immunotherapy of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 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

22 authors at 11 institutions in 1 country.

Monika GraeserWest German Study Group, Moenchengladbach, Germany monika.graeser@wsg-online.com.ORCID 0000-0003-1916-717X
Friedrich FeuerhakeInstitute of Pathology, Medical School Hannover, Hannover, Germany.
Oleg GluzWest German Study Group, Moenchengladbach, Germany.
Valery VolkInstitute of Pathology, Medical School Hannover, Hannover, Germany.
Michael HauptmannInstitute of Biostatistics and Registry Research, Brandenburg Medical School Theodor Fontane, Neuruppin, Germany.
Katarzyna JozwiakInstitute of Biostatistics and Registry Research, Brandenburg Medical School Theodor Fontane, Neuruppin, Germany.
Matthias ChristgenInstitute of Pathology, Medical School Hannover, Hannover, Germany.
Sherko KuemmelWest German Study Group, Moenchengladbach, Germany.
Eva-Maria GrischkeWomen's Clinic, University Clinics Tuebingen, Tuebingen, Germany.
Helmut ForstbauerPractice Network Troisdorf, Troisdorf, Germany.
Michael BraunBreast Center, Rotkreuz Clinics Munich, Munich, Germany.
Mathias WarmBreast Center, City Hospital Holweide, Cologne, Germany.
John HackmannBreast Center, Marien-Hospital, Witten, Germany.
Christoph UleerPractice of Gynecology and Oncology, Hildesheim, Germany.
Bahriye AktasWomen's Clinic, University Clinics Essen, Essen, Germany.
Claudia SchumacherBreast Center, St. Elisabeth Hospital, Cologne, Germany.
Cornelia Kolberg-LiedtkeUniversity Hospital Charité, Humboldt University, Berlin, Germany.
Ronald KatesWest German Study Group, Moenchengladbach, Germany.
Rachel WuerstleinWest German Study Group, Moenchengladbach, Germany.
Ulrike NitzWest German Study Group, Moenchengladbach, Germany.
Hans Heinrich KreipeInstitute of Pathology, Medical School Hannover, Hannover, Germany.
Nadia HarbeckWest German Study Group, Moenchengladbach, Germany.
Deutsches Archäologisches Institut, Zentrale · DEMedizinische Hochschule Hannover · DEMedizinische Hochschule Brandenburg Theodor Fontane · DEAtos Medical · DEEssen University Hospital · DEHumboldt-Universität zu Berlin · DEKrankenhaus Köln-Holweide · DEMarien Hospital Witten · DERotkreuzklinikum München · DEUniversität Hamburg · DEUniversity of Hildesheim · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association of early changes in the immune infiltrate during neoadjuvant chemotherapy (NACT) with pathological complete response (pCR) in triple-negative breast cancer (TNBC) remains unexplored.

methodsMultiplexed immunohistochemistry was performed in matched tumor biopsies obtained at baseline and after 3 weeks of NACT from 66 patients from the West German Study Group Adjuvant Dynamic Marker-Adjusted Personalized Therapy Trial Optimizing Risk Assessment and Therapy Response Prediction in Early Breast Cancer - Triple Negative Breast Cancer (WSG-ADAPT-TN) trial. Association between CD4, CD8, CD73, T cells, PD1-positive CD4 and CD8 cells, and PDL1 levels in stroma and/or tumor at baseline, week 3 and 3-week change with pCR was evaluated with univariable logistic regression.

resultsCompared with no change in immune cell composition and functional markers, transition from 'cold' to 'hot' (below-median and above-median marker level at baseline, respectively) suggested higher pCR rates for PD1-positive CD4 (tumor: OR=1.55, 95% CI 0.45 to 5.42; stroma: OR=2.65, 95% CI 0.65 to 10.71) and PD1-positive CD8 infiltrates (tumor: OR=1.77, 95% CI 0.60 to 5.20; stroma: OR=1.25, 95% CI 0.41 to 3.84; tumor+stroma: OR=1.62, 95% CI 0.51 to 5.12). No pCR was observed after 'hot-to-cold' transition in PD1-positive CD8 cells. pCR rates appeared lower after hot-to-cold transitions in T cells (tumor: OR=0.26, 95% CI 0.03 to 2.34; stroma: OR=0.35, 95% CI 0.04 to 3.25; tumor+stroma: OR=0.00, 95% CI 0.00 to 1.04) and PD1-positive CD4 cells (tumor: OR=0.60, 95% CI 0.11 to 3.35; stroma: OR=0.22, 95% CI 0.03 to 1.92; tumor+stroma: OR=0.32, 95% CI 0.04 to 2.94). Higher pCR rates collated with 'altered' distribution (levels below-median and above-median in tumor and stroma, respectively) of T cell (OR=3.50, 95% CI 0.84 to 14.56) and PD1-positive CD4 cells (OR=4.50, 95% CI 1.01 to 20.14).

conclusionOur exploratory findings indicate that comprehensive analysis of early immune infiltrate dynamics complements currently investigated predictive markers for pCR and may have a potential to improve guidance for individualized de-escalation/escalation strategies in TNBC.

Indexed as

ImmunohistochemistryNeoadjuvant TherapyAdultB7-H1 AntigenBiomarkers, TumorCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesChemotherapy, AdjuvantClinical Decision-MakingFemaleGermanyHumansLymphocytes, Tumor-InfiltratingMiddle AgedPredictive Value of TestsProgrammed Cell Death 1 ReceptorB7-H1 AntigenBiomarkers, TumorCD274 protein, humanPDCD1 protein, humanProgrammed Cell Death 1 Receptorbiomarkersbreast neoplasmsimmune evationprogrammed cell death 1 receptortumortumor microenvironment

Identifiers

PMID33963012
PMCPMC8108653
OpenAlexW3159104171

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.