TESTWEB - METHODS FOR CLASSIFYING, DETERMINING A TREATMENT AND PREDICTING THE PROGNOSIS OF A GASTRIC ADENOCARCINOMA, AND THE KIT FOR USE THEREOF

Methods for Classifying, Determining a Treatment and Predicting the Prognosis of a Gastric Adenocarcinoma, and the Kit for Use Thereof is a technology aimed at improving the molecular and clinical characterisation of gastric adenocarcinoma and supporting more personalised patient management. The technology is based on the identification and analysis of specific molecular and/or biological markers associated with distinct gastric adenocarcinoma profiles. By assessing these markers in biological samples from patients, the approach enables the classification of tumours according to their molecular characteristics and provides information that can be used to support treatment selection and prognosis assessment. The resulting classification may help distinguish patient subgroups with different biological behaviours, treatment responses and expected clinical outcomes. This information can be integrated with conventional clinical and pathological parameters to support a more comprehensive evaluation of individual patients and potentially guide therapeutic decision-making. The technology also includes a kit for its implementation, comprising the reagents and/or components required to detect or analyse the relevant biomarkers in patient samples. Depending on the specific embodiment, the methodology may be applicable to tissue or other biological specimens and may be compatible with established molecular or pathological analysis techniques. Potential applications include patient stratification, prognosis assessment, treatment selection and the identification of patient populations that may benefit from specific therapeutic strategies. In the research setting, the technology could also support biomarker-driven clinical studies and the development of personalised treatment approaches for gastric adenocarcinoma. Overall, the technology seeks to facilitate a more precise classification of gastric adenocarcinoma and translate molecular information into clinically relevant ins

Autors

ROBERT MONTAL ROURA

Protecció

EPXXXXXX2

Titulars

IRBLLEIDA INSTITUT RECERCA BIOMEDICA DE LLEIDA