Antiangiogenic Drugs as Chemosensitizers in Cancer Therapy 2022
DOI: 10.1016/b978-0-323-90190-1.00002-0
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Predictive “omic” biomarkers of drug response: Colorectal cancer as a model

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Cited by 3 publications
(3 citation statements)
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“…Thus, the evaluation of MMR/MSI has become part of the standard diagnostic and therapeutic course in CRC. Therefore, the major oncological international societies recommend the use of immune checkpoint inhibitors in the treatment of metastatic CRC either as first-line treatment or as subsequent therapy after the front-line treatment [ 3 , 12 , 13 ].…”
Section: Introductionmentioning
confidence: 99%
“…Thus, the evaluation of MMR/MSI has become part of the standard diagnostic and therapeutic course in CRC. Therefore, the major oncological international societies recommend the use of immune checkpoint inhibitors in the treatment of metastatic CRC either as first-line treatment or as subsequent therapy after the front-line treatment [ 3 , 12 , 13 ].…”
Section: Introductionmentioning
confidence: 99%
“…In detail, patients with stage I and low-risk stage II are candidates for surgery alone while pharmacological therapy plus surgery is the treatment strategy for patients with high-risk stage II, stage III, and stage IV (oligometastatic disease). However, despite the curative treatments, almost 30% of early stage CRC patients will develop a recurrence of the disease [ 7 ].…”
mentioning
confidence: 99%
“…This occurrence stimulates the search for biomarkers able to predict colorectal cancer prognosis in order to plan preventative pharmacological strategies for patients at high risk of disease progression as well as biomarkers predictive of drug response, in order to avoid the administration of inactive drugs to resistant patients. Immunoscore is a further example of tumor biomarker able to predict disease prognosis in early-stage colorectal cancer [ 19 ]. Instead, tumor mutational burden is not yet a recommended biomarker for the prediction of pembrolizumab efficacy in colorectal cancer due to the limited data available in this patient population [ 17 ].…”
mentioning
confidence: 99%