Impact of stromal tumor-infiltrating lymphocytes (sTILs) on response to neoadjuvant chemotherapy in triple-negative early breast cancer in the WSG-ADAPT TN trial.


Journal

Breast cancer research : BCR
ISSN: 1465-542X
Titre abrégé: Breast Cancer Res
Pays: England
ID NLM: 100927353

Informations de publication

Date de publication:
02 09 2022
Historique:
received: 22 12 2021
accepted: 25 07 2022
entrez: 2 9 2022
pubmed: 3 9 2022
medline: 9 9 2022
Statut: epublish

Résumé

Higher density of stromal tumor-infiltrating lymphocytes (sTILs) at baseline has been associated with increased rates of pathological complete response (pCR) after neoadjuvant chemotherapy (NACT) in triple-negative breast cancer (TNBC). While evidence supports favorable association of pCR with survival in TNBC, an independent impact of sTILs (after adjustment for pCR) on survival is not yet established. Moreover, the impact of sTIL dynamics during NACT on pCR and survival in TNBC is unknown. The randomized WSG-ADAPT TN phase II trial compared efficacy of 12-week nab-paclitaxel with gemcitabine versus carboplatin. This preplanned translational analysis assessed impacts of sTIL measurements at baseline (sTIL-0) and after 3 weeks of chemotherapy (sTIL-3) on pCR and invasive disease-free survival (iDFS). Predictive performance of sTIL-0 and sTIL-3 for pCR was quantified by ROC analysis and logistic regression; Kaplan-Meier estimation and Cox regression (with mediation analysis) were used to determine their impact on iDFS. For prediction of pCR, the AUC statistics for sTIL-0 and sTIL-3 were 0.60 and 0.63, respectively, in all patients; AUC for sTIL-3 was higher in NP/G. The positive predictive value (PPV) of "lymphocyte-predominant" status (sTIL-0 ≥ 60%) at baseline was 59.3%, though only 13.0% of patients had this status. To predict non-pCR, the cut point sTIL-0 ≤ 10% yielded PPV = 69.5% while addressing 33.8% of patients. Higher sTIL levels (particularly at 3 weeks) were independently and favorably associated with better iDFS, even after adjusting for pCR. For example, the adjusted hazard ratio for 3-week sTILs ≥ 60% (vs. < 60%) was 0.48 [0.23-0.99]. Low cellularity in 3-week biopsies was the strongest individual predictor for pCR (in both therapy arms), but not for iDFS. The independent impact of sTILs on iDFS suggests that favorable immune response can influence key tumor biological processes for long-term survival. The results suggest that the reliability of pCR following neoadjuvant therapy as a surrogate for survival could vary among subgroups in TNBC defined by immune response or other factors. Dynamic measurements of sTILs under NACT could support immune response-guided patient selection for individualized therapy approaches for both very low levels (more effective therapies) and very high levels (de-escalation concepts). Clinical trials No: NCT01815242, retrospectively registered January 25, 2013.

Sections du résumé

BACKGROUND
Higher density of stromal tumor-infiltrating lymphocytes (sTILs) at baseline has been associated with increased rates of pathological complete response (pCR) after neoadjuvant chemotherapy (NACT) in triple-negative breast cancer (TNBC). While evidence supports favorable association of pCR with survival in TNBC, an independent impact of sTILs (after adjustment for pCR) on survival is not yet established. Moreover, the impact of sTIL dynamics during NACT on pCR and survival in TNBC is unknown.
METHODS
The randomized WSG-ADAPT TN phase II trial compared efficacy of 12-week nab-paclitaxel with gemcitabine versus carboplatin. This preplanned translational analysis assessed impacts of sTIL measurements at baseline (sTIL-0) and after 3 weeks of chemotherapy (sTIL-3) on pCR and invasive disease-free survival (iDFS). Predictive performance of sTIL-0 and sTIL-3 for pCR was quantified by ROC analysis and logistic regression; Kaplan-Meier estimation and Cox regression (with mediation analysis) were used to determine their impact on iDFS.
RESULTS
For prediction of pCR, the AUC statistics for sTIL-0 and sTIL-3 were 0.60 and 0.63, respectively, in all patients; AUC for sTIL-3 was higher in NP/G. The positive predictive value (PPV) of "lymphocyte-predominant" status (sTIL-0 ≥ 60%) at baseline was 59.3%, though only 13.0% of patients had this status. To predict non-pCR, the cut point sTIL-0 ≤ 10% yielded PPV = 69.5% while addressing 33.8% of patients. Higher sTIL levels (particularly at 3 weeks) were independently and favorably associated with better iDFS, even after adjusting for pCR. For example, the adjusted hazard ratio for 3-week sTILs ≥ 60% (vs. < 60%) was 0.48 [0.23-0.99]. Low cellularity in 3-week biopsies was the strongest individual predictor for pCR (in both therapy arms), but not for iDFS.
CONCLUSION
The independent impact of sTILs on iDFS suggests that favorable immune response can influence key tumor biological processes for long-term survival. The results suggest that the reliability of pCR following neoadjuvant therapy as a surrogate for survival could vary among subgroups in TNBC defined by immune response or other factors. Dynamic measurements of sTILs under NACT could support immune response-guided patient selection for individualized therapy approaches for both very low levels (more effective therapies) and very high levels (de-escalation concepts).
TRIAL REGISTRATION
Clinical trials No: NCT01815242, retrospectively registered January 25, 2013.

Identifiants

pubmed: 36056374
doi: 10.1186/s13058-022-01552-w
pii: 10.1186/s13058-022-01552-w
pmc: PMC9438265
doi:

Substances chimiques

Biomarkers, Tumor 0
Intracellular Signaling Peptides and Proteins 0
STIL protein, human 0

Banques de données

ClinicalTrials.gov
['NCT01815242']

Types de publication

Clinical Trial, Phase II Journal Article Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

58

Informations de copyright

© 2022. The Author(s).

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Auteurs

Cornelia Kolberg-Liedtke (C)

Department of Gynecology and Obstetrics, University Hospital Essen, Hufelandstrasse 55, 45147, Essen, Germany. cornelia1979@googlemail.com.

Friedrich Feuerhake (F)

Institute of Pathology, Medical School Hannover, Hannover, Germany.

Madlen Garke (M)

University Hospital Luebeck, Lübeck, Germany.

Matthias Christgen (M)

Institute of Pathology, Medical School Hannover, Hannover, Germany.

Ronald Kates (R)

West German Study Group, Mönchengladbach, Germany.

Eva Maria Grischke (EM)

Women's Clinic, University Clinics Tuebingen, Tübingen, Germany.

Helmut Forstbauer (H)

Practice Network Troisdorf, Troisdorf, Germany.

Michael Braun (M)

Breast Center, Rotkreuz Clinics Munich, Munich, Germany.

Mathias Warm (M)

Breast Center, City Hospital Holweide, Cologne, Germany.

John Hackmann (J)

Breast Center, Marien-Hospital, Witten, Germany.

Christoph Uleer (C)

Practice of Gynecology and Oncology, Hildesheim, Germany.

Bahriye Aktas (B)

Department of Gynecology, University Hospital Leipzig, Leipzig, Germany.

Claudia Schumacher (C)

Breast Center, St. Elisabeth Hospital, Cologne, Germany.

Sherko Kuemmel (S)

West German Study Group, Mönchengladbach, Germany.
Breast Unit, Kliniken Essen-Mitte, Essen, Germany.
Department of Gynecology with Breast Center, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Rachel Wuerstlein (R)

West German Study Group, Mönchengladbach, Germany.
Breast Center, LMU University Hospital, Munich, Germany.

Monika Graeser (M)

West German Study Group, Mönchengladbach, Germany.
University Hospital Hamburg-Eppendorf, Hamburg, Germany.
Breast Center Niederrhein, Ev. Hospital Bethesda, Mönchengladbach, Germany.

Ulrike Nitz (U)

West German Study Group, Mönchengladbach, Germany.
Breast Center Niederrhein, Ev. Hospital Bethesda, Mönchengladbach, Germany.

Hans Kreipe (H)

Institute of Pathology, Medical School Hannover, Hannover, Germany.

Oleg Gluz (O)

West German Study Group, Mönchengladbach, Germany.
Breast Center Niederrhein, Ev. Hospital Bethesda, Mönchengladbach, Germany.

Nadia Harbeck (N)

West German Study Group, Mönchengladbach, Germany.
Breast Center, LMU University Hospital, Munich, Germany.

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