Ontology highlight
ABSTRACT:
SUBMITTER: Morelli D
PROVIDER: S-EPMC10564956 | biostudies-literature | 2023 Oct
REPOSITORIES: biostudies-literature
Morelli Daniele D Cantarutti Anna A Valsecchi Camilla C Sabia Federica F Rolli Luigi L Leuzzi Giovanni G Bogani Giorgio G Pastorino Ugo U
Scientific reports 20231010 1
There is growing evidence that inflammatory, immunologic, and metabolic status is associated with cancer patients survival. Here, we built a simple algorithm to predict lung cancer outcome. Perioperative routine blood tests (RBT) of a cohort of patients with resectable primary lung cancer (LC) were analysed. Inflammatory, immunologic, and metabolic profiles were used to create a single algorithm (RBT index) predicting LC survival. A concurrent cohort of patients with resectable lung metastases ( ...[more]