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A prognostic nomogram of non-small cell lung cancer based on tumor marker inflammatory nutrition score

  • 0Department of Respiratory Medicine, Qingdao University, Qingdao, China.
Translational Lung Cancer Research +

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January 20, 2025

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January 20, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This study introduces the Tumor Marker Inflammatory Nutrition (TMIN) score, a novel blood marker predictor for non-small cell lung cancer (NSCLC) survival. The TMIN-nomogram model effectively predicts overall survival (OS) and progression-free survival (PFS) in NSCLC patients.

Area Of Science

  • Oncology
  • Biomarker Discovery
  • Clinical Prognostics

Background

  • Non-small cell lung cancer (NSCLC) often presents with poor prognosis, necessitating reliable prognostic biomarkers.
  • Identifying effective biomarkers is crucial for improving patient outcomes and guiding clinical decisions in NSCLC management.

Purpose Of The Study

  • To develop and validate a nomogram model using blood markers for predicting prognosis in NSCLC patients.
  • To evaluate the prognostic significance of the novel Tumor Marker Inflammatory Nutrition (TMIN) score for overall survival (OS) and progression-free survival (PFS).

Main Methods

  • Retrospective analysis of 486 NSCLC patients, divided into training and validation sets.
  • Eleven blood indicators were selected using LASSO regression to create the TMIN score.
  • A TMIN-nomogram model was established and validated using ROC curves, calibration plots, and DCA.

Main Results

  • The TMIN score, incorporating 11 prognostic variables (e.g., WBC, CEA, FIB), demonstrated significant predictive value for OS and PFS.
  • TMIN score showed strong correlation with clinical factors like AJCC stage and ECOG-PS.
  • Multivariate analysis confirmed TMIN score as an independent risk factor for OS and PFS in NSCLC.

Conclusions

  • The TMIN score is a promising predictor for both PFS and OS in NSCLC patients.
  • The TMIN-nomogram model serves as an effective tool for comprehensive prognostic evaluation in NSCLC.

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