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Dataset Information

A nomogram-based immune-serum scoring system predicts overall survival in patients with lung adenocarcinoma.


ABSTRACT:

Objective

The immunoscore, which is used to quantify immune infiltrates, has greater relative prognostic value than tumor, node, and metastasis (TNM) stage and might serve as a new system for classification of colorectal cancer. However, a comparable immunoscore for predicting lung adenocarcinoma (LUAD) prognosis is currently lacking.

Methods

We analyzed the expression of 18 immune features by immunohistochemistry in 171 specimens. The relationship of immune marker expression and clinicopathologic factors to the overall survival (OS) was analyzed with the Kaplan-Meier method. A nomogram was developed by using the optimal features selected by least absolute shrinkage and selection operator (LASSO) regression in the training cohort (n = 111) and evaluated in the validat

SUBMITTER: Huang Q 

PROVIDER: S-EPMC8185867 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature