[HTML][HTML] A serum metabolomics classifier derived from elderly patients with metastatic colorectal cancer predicts relapse in the adjuvant setting

S Di Donato, A Vignoli, C Biagioni, L Malorni, E Mori… - Cancers, 2021 - mdpi.com
Simple Summary Around 30–40% of patients with early stage colorectal cancer (eCRC)
experience relapse after surgery. Current recommendations for adjuvant therapy are based …

A Serum Metabolomics Classifier Derived from Elderly Patients with Metastatic Colorectal Cancer Predicts Relapse in the Adjuvant Setting

S Di Donato, A Vignoli, C Biagioni, L Malorni, E Mori… - …, 2021 - search.proquest.com
Adjuvant treatment for patients with early stage colorectal cancer (eCRC) is currently based
on suboptimal risk stratification, especially for elderly patients. Metabolomics may improve …

A Serum Metabolomics Classifier Derived from Elderly Patients with Metastatic Colorectal Cancer Predicts Relapse in the Adjuvant Setting.

S Di Donato, A Vignoli, C Biagioni, L Malorni, E Mori… - Cancers, 2021 - europepmc.org
Adjuvant treatment for patients with early stage colorectal cancer (eCRC) is currently based
on suboptimal risk stratification, especially for elderly patients. Metabolomics may improve …

A serum metabolomics classifier derived from elderly patients with metastatic colorectal cancer predicts relapse in the adjuvant setting

S Di Donato, A Vignoli, C Biagioni, L Malorni, E Mori… - 2021 - ricerca.unityfvg.it
Adjuvant treatment for patients with early stage colorectal cancer (eCRC) is currently based
on suboptimal risk stratification, especially for elderly patients. Metabolomics may improve …

A serum metabolomics classifier derived from elderly patients with metastatic colorectal cancer predicts relapse in the adjuvant setting

S Di Donato, A Vignoli, C Biagioni, L Malorni, E Mori… - CANCERS, 2021 - flore.unifi.it
Adjuvant treatment for patients with early stage colorectal cancer (eCRC) is currently based
on suboptimal risk stratification, especially for elderly patients. Metabolomics may improve …

A serum metabolomics classifier derived from elderly patients with metastatic colorectal cancer predicts relapse in the adjuvant setting

S Di Donato, A Vignoli, C Biagioni, L Malorni, E Mori… - CANCERS, 2021 - air.uniud.it
Adjuvant treatment for patients with early stage colorectal cancer (eCRC) is currently based
on suboptimal risk stratification, especially for elderly patients. Metabolomics may improve …

A serum metabolomics classifier derived from elderly patients with metastatic colorectal cancer predicts relapse in the adjuvant setting

S Di Donato, A Vignoli, C Biagioni, L Malorni… - …, 2021 - research.monash.edu
Adjuvant treatment for patients with early stage colorectal cancer (eCRC) is currently based
on suboptimal risk stratification, especially for elderly patients. Metabolomics may improve …

A Serum Metabolomics Classifier Derived from Elderly Patients with Metastatic Colorectal Cancer Predicts Relapse in the Adjuvant Setting.

S Di Donato, A Vignoli, C Biagioni, L Malorni… - …, 2021 - search.ebscohost.com
Abstract Simple Summary: Around 30–40% of patients with early stage colorectal cancer
(eCRC) experience relapse after surgery. Current recommendations for adjuvant therapy …

[HTML][HTML] A Serum Metabolomics Classifier Derived from Elderly Patients with Metastatic Colorectal Cancer Predicts Relapse in the Adjuvant Setting

S Di Donato, A Vignoli, C Biagioni, L Malorni, E Mori… - Cancers, 2021 - ncbi.nlm.nih.gov
Adjuvant treatment for patients with early stage colorectal cancer (eCRC) is currently based
on suboptimal risk stratification, especially for elderly patients. Metabolomics may improve …

A Serum Metabolomics Classifier Derived from Elderly Patients with Metastatic Colorectal Cancer Predicts Relapse in the Adjuvant Setting

S Di Donato, A Vignoli, C Biagioni, L Malorni… - …, 2021 - pubmed.ncbi.nlm.nih.gov
Adjuvant treatment for patients with early stage colorectal cancer (eCRC) is currently based
on suboptimal risk stratification, especially for elderly patients. Metabolomics may improve …