Cargando…

Circulating tumor cells can predict the prognosis of patients with non-small cell lung cancer after resection: a retrospective study

BACKGROUND: The development of metastasis is the primary cause of death in patients with non-small cell lung cancer (NSCLC). However, identifying those NSCLC patients who will have loco-regional or distant disease recurrence after surgery is still challenging. Circulating tumor cells (CTCs) can accu...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Zhao, Xu, Ke, Tartarone, Alfredo, Santarpia, Mariacarmela, Zhu, Yuming, Jiang, Gening
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947419/
https://www.ncbi.nlm.nih.gov/pubmed/33718038
http://dx.doi.org/10.21037/tlcr-21-149
_version_ 1783663222771941376
author Li, Zhao
Xu, Ke
Tartarone, Alfredo
Santarpia, Mariacarmela
Zhu, Yuming
Jiang, Gening
author_facet Li, Zhao
Xu, Ke
Tartarone, Alfredo
Santarpia, Mariacarmela
Zhu, Yuming
Jiang, Gening
author_sort Li, Zhao
collection PubMed
description BACKGROUND: The development of metastasis is the primary cause of death in patients with non-small cell lung cancer (NSCLC). However, identifying those NSCLC patients who will have loco-regional or distant disease recurrence after surgery is still challenging. Circulating tumor cells (CTCs) can accurately reflect the impact of micro-metastasis of tumor cells in circulating blood on patients’ treatment and prognosis. The aim of the present study was to explore the value of preoperative CTC concentration in predicting postoperative metastasis and recurrence risk in patients with NSCLC. METHODS: This study enrolled 347 patients with stage I–IIIA NSCLC. The CTCs were isolated using folate receptor (FR) positivity from peripheral blood samples before surgery, and then enriched and analyzed. Patients were divided into two groups for retrospective survival analysis based on the geometric mean of CTC concentration. The primary study endpoint was recurrence-free survival. Spearman’s correlation was used to evaluate the relationship between CTC concentration and clinical characteristics of NSCLC patients. A nomogram based on the multivariate Cox regression model was developed to predict recurrence and metastasis in the NSCLC patients. The performance of the nomogram was evaluated using the concordance index, calibration curve, and Hosmer-Lemeshow test. RESULTS: The median follow-up time was 38 months. Preoperative CTC concentration was not significantly related to tumor-node-metastasis staging (P>0.05) and was an independent prognostic factor for NSCLC patients [hazard ratio (HR), 5.489; 95% confidence interval (CI): 2.660–11.326, P<0.001]. The nomogram based on preoperative CTC concentration had a concordance index value of 0.82. Validation revealed that the nomogram possessed excellent predictive ability and calibration. CONCLUSIONS: Preoperative CTC concentration is an independent and sensitive biomarker of prognosis in patients with NSCLC. Our nomogram based on preoperative CTC concentration is an effective and non-invasive tool for predicting the recurrence and metastasis of NSCLC.
format Online
Article
Text
id pubmed-7947419
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher AME Publishing Company
record_format MEDLINE/PubMed
spelling pubmed-79474192021-03-12 Circulating tumor cells can predict the prognosis of patients with non-small cell lung cancer after resection: a retrospective study Li, Zhao Xu, Ke Tartarone, Alfredo Santarpia, Mariacarmela Zhu, Yuming Jiang, Gening Transl Lung Cancer Res Original Article BACKGROUND: The development of metastasis is the primary cause of death in patients with non-small cell lung cancer (NSCLC). However, identifying those NSCLC patients who will have loco-regional or distant disease recurrence after surgery is still challenging. Circulating tumor cells (CTCs) can accurately reflect the impact of micro-metastasis of tumor cells in circulating blood on patients’ treatment and prognosis. The aim of the present study was to explore the value of preoperative CTC concentration in predicting postoperative metastasis and recurrence risk in patients with NSCLC. METHODS: This study enrolled 347 patients with stage I–IIIA NSCLC. The CTCs were isolated using folate receptor (FR) positivity from peripheral blood samples before surgery, and then enriched and analyzed. Patients were divided into two groups for retrospective survival analysis based on the geometric mean of CTC concentration. The primary study endpoint was recurrence-free survival. Spearman’s correlation was used to evaluate the relationship between CTC concentration and clinical characteristics of NSCLC patients. A nomogram based on the multivariate Cox regression model was developed to predict recurrence and metastasis in the NSCLC patients. The performance of the nomogram was evaluated using the concordance index, calibration curve, and Hosmer-Lemeshow test. RESULTS: The median follow-up time was 38 months. Preoperative CTC concentration was not significantly related to tumor-node-metastasis staging (P>0.05) and was an independent prognostic factor for NSCLC patients [hazard ratio (HR), 5.489; 95% confidence interval (CI): 2.660–11.326, P<0.001]. The nomogram based on preoperative CTC concentration had a concordance index value of 0.82. Validation revealed that the nomogram possessed excellent predictive ability and calibration. CONCLUSIONS: Preoperative CTC concentration is an independent and sensitive biomarker of prognosis in patients with NSCLC. Our nomogram based on preoperative CTC concentration is an effective and non-invasive tool for predicting the recurrence and metastasis of NSCLC. AME Publishing Company 2021-02 /pmc/articles/PMC7947419/ /pubmed/33718038 http://dx.doi.org/10.21037/tlcr-21-149 Text en 2021 Translational Lung Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Li, Zhao
Xu, Ke
Tartarone, Alfredo
Santarpia, Mariacarmela
Zhu, Yuming
Jiang, Gening
Circulating tumor cells can predict the prognosis of patients with non-small cell lung cancer after resection: a retrospective study
title Circulating tumor cells can predict the prognosis of patients with non-small cell lung cancer after resection: a retrospective study
title_full Circulating tumor cells can predict the prognosis of patients with non-small cell lung cancer after resection: a retrospective study
title_fullStr Circulating tumor cells can predict the prognosis of patients with non-small cell lung cancer after resection: a retrospective study
title_full_unstemmed Circulating tumor cells can predict the prognosis of patients with non-small cell lung cancer after resection: a retrospective study
title_short Circulating tumor cells can predict the prognosis of patients with non-small cell lung cancer after resection: a retrospective study
title_sort circulating tumor cells can predict the prognosis of patients with non-small cell lung cancer after resection: a retrospective study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947419/
https://www.ncbi.nlm.nih.gov/pubmed/33718038
http://dx.doi.org/10.21037/tlcr-21-149
work_keys_str_mv AT lizhao circulatingtumorcellscanpredicttheprognosisofpatientswithnonsmallcelllungcancerafterresectionaretrospectivestudy
AT xuke circulatingtumorcellscanpredicttheprognosisofpatientswithnonsmallcelllungcancerafterresectionaretrospectivestudy
AT tartaronealfredo circulatingtumorcellscanpredicttheprognosisofpatientswithnonsmallcelllungcancerafterresectionaretrospectivestudy
AT santarpiamariacarmela circulatingtumorcellscanpredicttheprognosisofpatientswithnonsmallcelllungcancerafterresectionaretrospectivestudy
AT zhuyuming circulatingtumorcellscanpredicttheprognosisofpatientswithnonsmallcelllungcancerafterresectionaretrospectivestudy
AT jianggening circulatingtumorcellscanpredicttheprognosisofpatientswithnonsmallcelllungcancerafterresectionaretrospectivestudy