Download
13058_2024_Article_1883.pdf 852,84KB
WeightNameValue
1000 Titel
  • On-treatment biopsies to predict response to neoadjuvant chemotherapy for breast cancer
1000 Autor/in
  1. Sinn, Bruno Valentin |
  2. Sychra, Katharina |
  3. Untch, Michael |
  4. Karn, Thomas |
  5. van Mackelenbergh, Marion |
  6. Huober, Jens |
  7. Schmitt, Wolfgang |
  8. Marmé, Frederik |
  9. Schem, Christian |
  10. Solbach, Christine |
  11. Stickeler, Elmar |
  12. Tesch, Hans |
  13. Fasching, Peter A. |
  14. Schneeweiss, Andreas |
  15. Müller, Volkmar |
  16. Holtschmidt, Johannes |
  17. Nekljudova, Valentina |
  18. Loibl, Sibylle |
  19. Denkert, Carsten |
1000 Verlag BioMed Central
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-09-24
1000 Erschienen in
1000 Quellenangabe
  • 26(1):138
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s13058-024-01883-w |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11423510/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>Patients with pathologic complete response (pCR) to neoadjuvant chemotherapy for invasive breast cancer (BC) have better outcomes, potentially warranting less extensive surgical and systemic treatments. Early prediction of treatment response could aid in adapting therapies.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>On-treatment biopsies from 297 patients with invasive BC in three randomized, prospective neoadjuvant trials were assessed (GeparQuattro, GeparQuinto, GeparSixto). BC quantity, tumor-infiltrating lymphocytes (TILs), and the proliferation marker Ki-67 were compared to pre-treatment samples. The study investigated the correlation between residual cancer, changes in Ki-67 and TILs, and their impact on pathologic complete response (pCR) and disease-free survival (DFS).</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Among the 297 samples, 138 (46%) were hormone receptor-positive (HR+)/human epidermal growth factor 2-negative (HER2−), 87 (29%) were triple-negative (TNBC), and 72 (24%) were HER2+. Invasive tumor cells were found in 70% of on-treatment biopsies, with varying rates across subtypes (HR+/HER2−: 84%, TNBC: 62%, HER2+: 51%; <jats:italic>p</jats:italic> &lt; 0.001). Patients with residual tumor on-treatment had an 8% pCR rate post-treatment (HR+/HER2−: 3%, TNBC: 19%, HER2+: 11%), while those without any invasive tumor had a 50% pCR rate (HR+/HER2−: 27%; TNBC: 48%, HER2+: 66%). Sensitivity for predicting residual disease was 0.81, with positive and negative predictive values of 0.92 and 0.50, respectively. Increasing TILs from baseline to on-treatment biopsy (if residual tumor was present) were linked to higher pCR likelihood in the overall cohort (OR 1.034, 95% CI 1.013–1.056 per % increase; <jats:italic>p</jats:italic> = 0.001) and with a longer DFS in TNBC (HR 0.980, 95% CI 0.963–0.997 per % increase; <jats:italic>p</jats:italic> = 0.026). Persisting or increased Ki-67 was associated with with lower pCR probability in the overall cohort (OR 0.957, 95% CI 0.928–0.986; <jats:italic>p</jats:italic> = 0.004) and shorter DFS in TNBC (HR 1.023, 95% CI 1.001–1.047; <jats:italic>p</jats:italic> = 0.04).</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>On-treatment biopsies can predict patients unlikely to achieve pCR post-therapy. This could facilitate therapy adjustments for TNBC or HER2 + BC. They also might offer insights into therapy resistance mechanisms. Future research should explore whether standardized or expanded sampling enhances the accuracy of on-treatment biopsy procedures.</jats:p> <jats:p><jats:italic>Trial registration</jats:italic> GeparQuattro (EudraCT 2005-001546-17), GeparQuinto (EudraCT 2006-005834-19) and GeparSixto (EudraCT 2011-000553-23).</jats:p> </jats:sec>
1000 Sacherschließung
lokal Aged [MeSH]
lokal Receptor, ErbB-2/metabolism [MeSH]
lokal Breast cancer
lokal TILs
lokal Neoadjuvant Therapy/methods [MeSH]
lokal Neoadjuvant therapy
lokal Ki-67 Antigen/metabolism [MeSH]
lokal Chemotherapy, Adjuvant/methods [MeSH]
lokal Breast Neoplasms/mortality [MeSH]
lokal Breast Neoplasms/pathology [MeSH]
lokal Female [MeSH]
lokal Receptors, Estrogen/metabolism [MeSH]
lokal Adult [MeSH]
lokal Biopsy [MeSH]
lokal Receptors, Progesterone/metabolism [MeSH]
lokal Humans [MeSH]
lokal Treatment Outcome [MeSH]
lokal Breast Neoplasms/drug therapy [MeSH]
lokal Breast Neoplasms/metabolism [MeSH]
lokal Middle Aged [MeSH]
lokal Lymphocytes, Tumor-Infiltrating/metabolism [MeSH]
lokal Neoplasm, Residual/pathology [MeSH]
lokal Antineoplastic Combined Chemotherapy Protocols/therapeutic use [MeSH]
lokal Serial biopsies
lokal Lymphocytes, Tumor-Infiltrating/immunology [MeSH]
lokal Biomarkers, Tumor/metabolism [MeSH]
lokal Disease-Free Survival [MeSH]
lokal Research
lokal Prognosis [MeSH]
lokal Ki-67
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-1257-9799|https://frl.publisso.de/adhoc/uri/U3ljaHJhLCBLYXRoYXJpbmE=|https://frl.publisso.de/adhoc/uri/VW50Y2gsIE1pY2hhZWw=|https://frl.publisso.de/adhoc/uri/S2FybiwgVGhvbWFz|https://frl.publisso.de/adhoc/uri/dmFuIE1hY2tlbGVuYmVyZ2gsIE1hcmlvbg==|https://frl.publisso.de/adhoc/uri/SHVvYmVyLCBKZW5z|https://frl.publisso.de/adhoc/uri/U2NobWl0dCwgV29sZmdhbmc=|https://frl.publisso.de/adhoc/uri/TWFybcOpLCBGcmVkZXJpaw==|https://frl.publisso.de/adhoc/uri/U2NoZW0sIENocmlzdGlhbg==|https://frl.publisso.de/adhoc/uri/U29sYmFjaCwgQ2hyaXN0aW5l|https://frl.publisso.de/adhoc/uri/U3RpY2tlbGVyLCBFbG1hcg==|https://frl.publisso.de/adhoc/uri/VGVzY2gsIEhhbnM=|https://frl.publisso.de/adhoc/uri/RmFzY2hpbmcsIFBldGVyIEEu|https://frl.publisso.de/adhoc/uri/U2NobmVld2Vpc3MsIEFuZHJlYXM=|https://frl.publisso.de/adhoc/uri/TcO8bGxlciwgVm9sa21hcg==|https://frl.publisso.de/adhoc/uri/SG9sdHNjaG1pZHQsIEpvaGFubmVz|https://frl.publisso.de/adhoc/uri/TmVrbGp1ZG92YSwgVmFsZW50aW5h|https://frl.publisso.de/adhoc/uri/TG9pYmwsIFNpYnlsbGU=|https://frl.publisso.de/adhoc/uri/RGVua2VydCwgQ2Fyc3Rlbg==
1000 Hinweis
  • DeepGreen-ID: 93bab3f43b6446c6b7a454d9623dac07 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Charité – Universitätsmedizin Berlin |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Charité – Universitätsmedizin Berlin |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6503837.rdf
1000 Erstellt am 2025-02-05T22:54:39.348+0100
1000 Erstellt von 322
1000 beschreibt frl:6503837
1000 Zuletzt bearbeitet 2025-08-05T07:35:50.765+0200
1000 Objekt bearb. Tue Aug 05 07:35:50 CEST 2025
1000 Vgl. frl:6503837
1000 Oai Id
  1. oai:frl.publisso.de:frl:6503837 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source