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Radiomics Approaches for the Prediction of Pathological Complete Response after Neoadjuvant Treatment in Locally Advanced Rectal Cancer: Ready for Prime Time?
Bourbonne, Vincent; Schick, Ulrike; Pradier, Olivier; Visvikis, Dimitris; Metges, Jean-Philippe; Badic, Bogdan.
Afiliación
  • Bourbonne V; Radiation Oncology Department, University Hospital, 29200 Brest, France.
  • Schick U; LaTIM, INSERM, UMR 1101, University of Western Brittany, 29238 Brest, France.
  • Pradier O; Radiation Oncology Department, University Hospital, 29200 Brest, France.
  • Visvikis D; LaTIM, INSERM, UMR 1101, University of Western Brittany, 29238 Brest, France.
  • Metges JP; Radiation Oncology Department, University Hospital, 29200 Brest, France.
  • Badic B; LaTIM, INSERM, UMR 1101, University of Western Brittany, 29238 Brest, France.
Cancers (Basel) ; 15(2)2023 Jan 09.
Article en En | MEDLINE | ID: mdl-36672381
ABSTRACT
In recent years, neoadjuvant therapy of locally advanced rectal cancer has seen tremendous modifications. Adding neoadjuvant chemotherapy before or after chemoradiotherapy significantly increases loco-regional disease-free survival, negative surgical margin rates, and complete response rates. The higher complete rate is particularly clinically meaningful given the possibility of organ preservation in this specific sub-population, without compromising overall survival. However, all locally advanced rectal cancer most likely does not benefit from total neoadjuvant therapy (TNT), but experiences higher toxicity rates. Diagnosis of complete response after neoadjuvant therapy is a real challenge, with a risk of false negatives and possible under-treatment. These new therapeutic approaches thus raise the need for better selection tools, enabling a personalized therapeutic approach for each patient. These tools mostly focus on the prediction of the pathological complete response given the clinical impact. In this article, we review the place of different biomarkers (clinical, biological, genomics, transcriptomics, proteomics, and radiomics) as well as their clinical implementation and discuss the most recent trends for future steps in prediction modeling in patients with locally advanced rectal cancer.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Francia
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