Integrating Pathologic Stage and Perioperative Circulating Tumor Cell Variations: Early Relapse Prediction Model for Resectable Non-Small Cell Lung Cancer

Jui Ying Fu, Chih Tsung Wen, Ching Feng Wu, Jason Chia Hsun Hsieh, Po Chun Chang, Ming Ju Hsieh, Yen Hen Liu, Yu Jr Lin, Shu Chen Chang, Ching Yang Wu*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

1 Scopus citations

Abstract

PURPOSE: The primary therapeutic objective for patients with resectable non-small cell lung cancer (NSCLC) is the prevention of disease relapse. This study aimed to examine the correlation between perioperative circulating tumor cell (CTC) variations and disease relapse.

MATERIALS AND METHODS: Ninety-nine patients with resectable NSCLC were enrolled and classified into cohort 0-1a and cohort 1b-4 on the basis of the presence of lymph node metastasis. CTC levels were measured, and their correlation with disease-free survival was analyzed.

RESULTS: In cohort 0-1a, patients with a CTC count difference between postoperative day 3 and postoperation of <2.75, and a difference between postoperative day 3 and postoperation day 1 of <-0.25, showed no disease relapse. In cohort 1b-4, patients with a CTC count difference between postoperative day 3 and postoperation ≥6.25 had the highest risk of relapse, with all patients experiencing relapse within 2 years. For those with a difference <6.25, most relapses were identified within 2 years postoperation.

CONCLUSION: The proposed relapse prediction model effectively identified patients with no risk for disease relapse in cohort 0-1a and those with the highest risk for relapse in cohort 1b-4. These results may assist physicians in focusing on and prescribing adjuvant treatment for patients with a higher relapse risk.

Original languageEnglish
Article numbere2400709
Pages (from-to)e2400709
JournalJCO precision oncology
Volume9
DOIs
StatePublished - 01 04 2025

Bibliographical note

Publisher Copyright:
© 2025 by American Society of Clinical Oncology.

Keywords

  • Adult
  • Aged
  • Aged, 80 and over
  • Carcinoma, Non-Small-Cell Lung/pathology
  • Cohort Studies
  • Disease-Free Survival
  • Female
  • Humans
  • Lung Neoplasms/pathology
  • Male
  • Middle Aged
  • Neoplasm Recurrence, Local/pathology
  • Neoplasm Staging
  • Neoplastic Cells, Circulating/pathology

Fingerprint

Dive into the research topics of 'Integrating Pathologic Stage and Perioperative Circulating Tumor Cell Variations: Early Relapse Prediction Model for Resectable Non-Small Cell Lung Cancer'. Together they form a unique fingerprint.

Cite this