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Exome and Tissue-Associated Microbiota as Predictive Markers of Response to Neoadjuvant Treatment in Locally Advanced Rectal Cancer.
Takenaka, Isabella Kuniko T M; Bartelli, Thais F; Defelicibus, Alexandre; Sendoya, Juan M; Golubicki, Mariano; Robbio, Juan; Serpa, Marianna S; Branco, Gabriela P; Santos, Luana B C; Claro, Laura C L; Dos Santos, Gabriel Oliveira; Kupper, Bruna E C; da Silva, Israel T; Llera, Andrea S; de Mello, Celso A L; Riechelmann, Rachel P; Dias-Neto, Emmanuel; Iseas, Soledad; Aguiar, Samuel; Nunes, Diana Noronha.
Afiliação
  • Takenaka IKTM; Medical Genomics Laboratory, International Center for Research, A.C.Camargo Cancer Center, São Paulo, Brazil.
  • Bartelli TF; Medical Genomics Laboratory, International Center for Research, A.C.Camargo Cancer Center, São Paulo, Brazil.
  • Defelicibus A; Laboratory of Bioinformatics and Computational Biology, International Center for Research, A.C. Camargo Cancer Center, São Paulo, Brazil.
  • Sendoya JM; Laboratorio de Terapia Molecular y Celular - Genomics Unit, Fundación Instituto Leloir, Buenos Aires, Argentina.
  • Golubicki M; Instituto de Investigaciones Bioquímicas de Buenos Aires (IIBBA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
  • Robbio J; Oncology Unit, Hospital de Gastroenterología Carlos Bonorino Udaondo, Buenos Aires, Argentina.
  • Serpa MS; Clinical Oncology, Intergrupo Argentino para el Tratamiento de los Tumores Gastrointestinales (IATTGI), Buenos Aires, Argentina.
  • Branco GP; Clinical Oncology, Intergrupo Argentino para el Tratamiento de los Tumores Gastrointestinales (IATTGI), Buenos Aires, Argentina.
  • Santos LBC; Medical Genomics Laboratory, International Center for Research, A.C.Camargo Cancer Center, São Paulo, Brazil.
  • Claro LCL; Medical Genomics Laboratory, International Center for Research, A.C.Camargo Cancer Center, São Paulo, Brazil.
  • Dos Santos GO; Medical Genomics Laboratory, International Center for Research, A.C.Camargo Cancer Center, São Paulo, Brazil.
  • Kupper BEC; Department of Pathology, A.C.Camargo Cancer Center, São Paulo, Brazil.
  • da Silva IT; Department of Pathology, A.C.Camargo Cancer Center, São Paulo, Brazil.
  • Llera AS; Colorectal Cancer Department, A.C.Camargo Cancer Center, São Paulo, Brazil.
  • de Mello CAL; Laboratory of Bioinformatics and Computational Biology, International Center for Research, A.C. Camargo Cancer Center, São Paulo, Brazil.
  • Riechelmann RP; Laboratorio de Terapia Molecular y Celular - Genomics Unit, Fundación Instituto Leloir, Buenos Aires, Argentina.
  • Dias-Neto E; Instituto de Investigaciones Bioquímicas de Buenos Aires (IIBBA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
  • Iseas S; Department of Clinical Oncology, A.C.Camargo Cancer Center, São Paulo, Brazil.
  • Aguiar S; Department of Clinical Oncology, A.C.Camargo Cancer Center, São Paulo, Brazil.
  • Nunes DN; Medical Genomics Laboratory, International Center for Research, A.C.Camargo Cancer Center, São Paulo, Brazil.
Front Oncol ; 12: 809441, 2022.
Article em En | MEDLINE | ID: mdl-35392220
The clinical and pathological responses to multimodal neoadjuvant therapy in locally advanced rectal cancers (LARCs) remain unpredictable, and robust biomarkers are still lacking. Recent studies have shown that tumors present somatic molecular alterations related to better treatment response, and it is also clear that tumor-associated bacteria are modulators of chemotherapy and immunotherapy efficacy, therefore having implications for long-term survivorship and a good potential as the biomarkers of outcome. Here, we performed whole exome sequencing and 16S ribosomal RNA (rRNA) amplicon sequencing from 44 pre-treatment LARC biopsies from Argentinian and Brazilian patients, treated with neoadjuvant chemoradiotherapy or total neoadjuvant treatment, searching for predictive biomarkers of response (responders, n = 17; non-responders, n = 27). In general, the somatic landscape of LARC was not capable to predict a response; however, a significant enrichment in mutational signature SBS5 was observed in non-responders (p = 0.0021), as well as the co-occurrence of APC and FAT4 mutations (p < 0.05). Microbiota studies revealed a similar alpha and beta diversity of bacteria between response groups. Yet, the linear discriminant analysis (LDA) of effect size indicated an enrichment of Hungatella, Flavonifractor, and Methanosphaera (LDA score ≥3) in the pre-treatment biopsies of responders, while non-responders had a higher abundance of Enhydrobacter, Paraprevotella (LDA score ≥3) and Finegoldia (LDA score ≥4). Altogether, the evaluation of these biomarkers in pre-treatment biopsies could eventually predict a neoadjuvant treatment response, while in post-treatment samples, it could help in guiding non-operative treatment strategies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article