Metabolomics signature as a survival predictor in patients with resectable colorectal liver metastasis

González‐Olmedo, Carmen; García‐Verdejo, Francisco José; Reguera‐Teba, Antonio; Rosa‐Garrido, Carmen; López‐López, José Antonio; Díaz‐Beltrán, Leticia; García, Patricia Mena; Luque‐Caro, Natalia; Gálvez‐Montosa, Fernando; Ortega‐Granados, Ana Laura; Ruiz‐Sanjuan, María; Cózar‐Ibáñez, Antonio; Sainz, Juan; Marchal, Juan Antonio; Camacho, José; del Palacio, José Pérez; Fernández‐Godino, Rosario; Díaz, Caridad; Sánchez‐Rovira, Pedro

doi:10.1002/ctm2.1541

Cited by 1 publication

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“…Lately, the utilization of mass spectrometry-based techniques to detect metabolic profiles in blood has emerged as a selective and sensitive tool to improve diagnosis of malignant diseases, including several types of cancers (such as colorectal, gastroenterological or pancreatic cancers) [25][26][27][28]. Specifically, metabolomic analyses of BC have widely demonstrated that metabolic dysregulation in cancer might be detected in a simple and cost-effective manner which may yield potential biomarkers of the disease behavior after further validation.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Untargeted Metabolomics by Hydrophilic Interaction Liquid Chromatography−Mass Spectrometry to Define Breast Cancer Liquid Biopsy-Based Biomarkers in Plasma Samples

González Olmedo,

Díaz Beltrán,

Madrid García

et al. 2024

IJMS

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An early diagnosis of cancer is fundamental not only in regard to reducing its mortality rate but also in terms of counteracting the progression of the tumor in the initial stages. Breast cancer (BC) is the most common tumor pathology in women and the second deathliest cancer worldwide, although its survival rate is increasing thanks to improvements in screening programs. However, the most common techniques to detect a breast tumor tend to be time-consuming, unspecific or invasive. Herein, the use of untargeted hydrophilic interaction liquid chromatography−mass spectrometry analysis appears as an analytical technique with potential use for the early detection of biomarkers in liquid biopsies from BC patients. In this research, plasma samples from 134 BC patients were compared with 136 from healthy controls (HC), and multivariate statistical analyses showed a clear separation between four BC phenotypes (LA, LB, HER2, and TN) and the HC group. As a result, we identified two candidate biomarkers that discriminated between the groups under study with a VIP > 1 and an AUC of 0.958. Thus, targeting the specific aberrant metabolic pathways in future studies may allow for better molecular stratification or early detection of the disease.

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Section: Discussionmentioning

confidence: 99%