Liquid biopsy for rectal cancer: A systematic review.


Journal

Cancer treatment reviews
ISSN: 1532-1967
Titre abrégé: Cancer Treat Rev
Pays: Netherlands
ID NLM: 7502030

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 23 08 2019
accepted: 27 08 2019
pubmed: 10 9 2019
medline: 24 9 2019
entrez: 10 9 2019
Statut: ppublish

Résumé

The management of locally advanced rectal cancer (RC) is an evolving clinical field where the multidisciplinary approach can reach its best, and liquid biopsy for obtaining tumor-derived component such as circulating tumor DNA (ctDNA) might provide complementary informations. A systematic review of studies available in literature of liquid biopsy in non-metastatic RC has been performed according to PRISMA criteria to assess the role of ctDNA as a diagnostic, predictive and prognostic biomarker in this setting. Twenty-five publications have been retrieved, of which 8 full-text articles, 7 abstracts and 10 clinical trials. Results have been categorized into three groups: diagnostic, predictive and prognostic. Few but promising data are available about the use of liquid biopsy for early diagnosis of RC, with the main limitation of sensitivity due to low concentrations of ctDNA in this setting. In terms of prediction of response to chemoradiation, still inconclusive data are available about the utility of a pre-treatment liquid biopsy, whereas some studies report a positive correlation with a dynamic (pre/post-treatment) monitoring. The presence of minimal residual disease by ctDNA was consistently associated with worse prognosis across studies. The use of liquid biopsy for monitoring response to chemoradiation and assess the risk of disease recurrence are the most advanced potential applications for liquid biopsy in RC, with implications also in the context of non-operative management strategies.

Sections du résumé

BACKGROUND BACKGROUND
The management of locally advanced rectal cancer (RC) is an evolving clinical field where the multidisciplinary approach can reach its best, and liquid biopsy for obtaining tumor-derived component such as circulating tumor DNA (ctDNA) might provide complementary informations.
METHODS METHODS
A systematic review of studies available in literature of liquid biopsy in non-metastatic RC has been performed according to PRISMA criteria to assess the role of ctDNA as a diagnostic, predictive and prognostic biomarker in this setting.
RESULTS RESULTS
Twenty-five publications have been retrieved, of which 8 full-text articles, 7 abstracts and 10 clinical trials. Results have been categorized into three groups: diagnostic, predictive and prognostic. Few but promising data are available about the use of liquid biopsy for early diagnosis of RC, with the main limitation of sensitivity due to low concentrations of ctDNA in this setting. In terms of prediction of response to chemoradiation, still inconclusive data are available about the utility of a pre-treatment liquid biopsy, whereas some studies report a positive correlation with a dynamic (pre/post-treatment) monitoring. The presence of minimal residual disease by ctDNA was consistently associated with worse prognosis across studies.
CONCLUSIONS CONCLUSIONS
The use of liquid biopsy for monitoring response to chemoradiation and assess the risk of disease recurrence are the most advanced potential applications for liquid biopsy in RC, with implications also in the context of non-operative management strategies.

Identifiants

pubmed: 31499407
pii: S0305-7372(19)30109-4
doi: 10.1016/j.ctrv.2019.101893
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
Circulating Tumor DNA 0
DNA, Neoplasm 0

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

101893

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Daniela Massihnia (D)

Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy; Università degli Studi di Milano, Department of Oncology and Hemato-Oncology, Milan, Italy.

Elio Gregory Pizzutilo (EG)

Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy; Università degli Studi di Milano, Department of Oncology and Hemato-Oncology, Milan, Italy.

Alessio Amatu (A)

Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy.

Federica Tosi (F)

Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy; Università degli Studi di Milano, Department of Oncology and Hemato-Oncology, Milan, Italy.

Silvia Ghezzi (S)

Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy.

Katia Bencardino (K)

Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy.

Pietro Di Masi (P)

Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy; Università degli Studi di Milano, Department of Oncology and Hemato-Oncology, Milan, Italy.

Elena Righetti (E)

Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy; Università degli Studi di Milano, Department of Oncology and Hemato-Oncology, Milan, Italy.

Giorgio Patelli (G)

Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy; Università degli Studi di Milano, Department of Oncology and Hemato-Oncology, Milan, Italy.

Francesco Scaglione (F)

Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy; Università degli Studi di Milano, Department of Oncology and Hemato-Oncology, Milan, Italy.

Angelo Vanzulli (A)

Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy; Università degli Studi di Milano, Department of Oncology and Hemato-Oncology, Milan, Italy.

Salvatore Siena (S)

Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy; Università degli Studi di Milano, Department of Oncology and Hemato-Oncology, Milan, Italy.

Andrea Sartore-Bianchi (A)

Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy; Università degli Studi di Milano, Department of Oncology and Hemato-Oncology, Milan, Italy. Electronic address: andrea.sartorebianchi@unimi.it.

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Classifications MeSH