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T-Cell Heterogeneity in Baseline Tumor Samples: Implications for Early Clinical Trial Design and Analysis.
Brennan, Laura; Brouwer-Visser, Jurriaan; Nüesch, Eveline; Karpova, Maria; Heller, Astrid; Gaire, Fabien; Schneider, Meike; Gomes, Bruno; Korski, Konstanty.
Afiliación
  • Brennan L; Roche Pharma Research and Early Development, Early Biomarker Development Oncology, Roche Innovation Center New York, Little Falls, NJ, United States.
  • Brouwer-Visser J; Roche Pharma Research and Early Development, Early Biomarker Development Oncology, Roche Innovation Center New York, Little Falls, NJ, United States.
  • Nüesch E; Roche Innovation Center Basel, Roche Pharma and Early Development, Basel, Switzerland.
  • Karpova M; Roche Innovation Center Munich, Roche Pharma and Early Development, Penzberg, Germany.
  • Heller A; Roche Innovation Center Munich, Roche Pharma and Early Development, Penzberg, Germany.
  • Gaire F; Roche Innovation Center Munich, Roche Pharma and Early Development, Penzberg, Germany.
  • Schneider M; Roche Innovation Center Basel, Roche Pharma and Early Development, Basel, Switzerland.
  • Gomes B; Roche Innovation Center Basel, Roche Pharma and Early Development, Basel, Switzerland.
  • Korski K; Roche Innovation Center Munich, Roche Pharma and Early Development, Penzberg, Germany.
Front Immunol ; 13: 760763, 2022.
Article en En | MEDLINE | ID: mdl-35558070
ABSTRACT

Background:

In early stage clinical trials, changes to levels of tumor infiltrating lymphocytes (TILs) in the tumor microenvironment (TME) are critical biomarkers of the mechanism of action of novel immunotherapies. However, baseline heterogeneity of tumor samples, both between and within patients, and the resultant impact on the validity of clinical trial data is not well defined. Here we identify and quantify the impact of baseline variables on the heterogeneity of FoxP3+ and proliferating CD8+ T-cells levels (MKi67+CD8A+) in the TME both between and within patients for the purpose of informing clinical trial design and analysis.

Methods:

We compared levels of FoxP3+ and MKi67+CD8+ cell densities (counts/mm2) from >1000 baseline tumor samples from clinical trials and commercially available sources. Using multivariate hierarchical regression techniques, we investigated whether inter-person heterogeneity of activated or regulatory T-cells could be attributed to baseline characteristics including demographics, indication, lesion type, tissue of excision, biopsy method, prior cancer treatment, and tissue type i.e., "fresh" or "archival" status. We also sought to characterize within-patient heterogeneity by lesion type and tissue type.

Results:

Prior cancer treatment with hormone therapy or chemotherapy that induces immunogenic cell death may alter the TME. Archival tissue is an unreliable substitute for fresh tissue for determining baseline TIL levels. Baseline and on treatment biopsies should be matched by lesion type to avoid bias.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Linfocitos Infiltrantes de Tumor / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Front Immunol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Linfocitos Infiltrantes de Tumor / Neoplasias Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Front Immunol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos