Evidence map›Paper›PMID 39627742›Full record

ArticleBMC cancer2024

Circulating Tumor cells and multiple indicators combined to identify the risk of poorer prognosis in patients with resected non-small cell lung cancer.

Jinghan Song, Xiong Ye, Qianqian Peng, Xinnan Ying, Hui Xiao

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Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jinghan Song *Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiong Ye *School of Clinical Medicine, Shanghai University of Medicine & Health Sciences, Shanghai, China.
Qianqian PengDepartment of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xinnan YingDepartment of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hui XiaoDepartment of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. xiaohui771210@163.com.

Funding

China Medicine Education Association No.HXXM-22-01-002National Natural Science Foundation of China No. 82172692Shanghai General Hospital healthcare-associated infection project SYYGN202411
6 · The paper itself

Abstract

backgroundSurgical resection is an important treatment option for patients with non-small cell lung cancer (NSCLC). However, recurrence and survival rates remain a cause of concern. To further improve prognosis, more studies have focused on liquid biopsy, which has significant value as a prognostic factor for defining the risk stratification of postoperative NSCLC patients. This study aimed to identify circulating tumor cells (CTCs) as biomarkers that indicate a poor prognosis, combined with multiple indicators to determine prognostic risks in advance and develop individualized treatment strategies.

methodsBetween November 2015 and August 2018, 65 radical resected patients with NSCLC were analyzed. Preoperative CTCs were collected, and follow-up lasted until August 2023. Overall survival (OS) and disease-free survival (DFS) were the primary outcomes.

resultsWith an 11 CTC unit threshold, the high preoperative CTC level group had worse OS and DFS than the low-level group, suggesting that preoperative CTC levels have prognostic value. Time-dependent receiver operating characteristic (ROC) curves also showed satisfactory predictive efficiency of CTCs. Univariate analysis revealed that preoperative CTC levels were significantly associated with increasing risks for OS and DFS. Moreover, we combined CTCs and multiple indicators to provide a reference for a group at high risk of adverse outcomes.

conclusionsCTCs serve as feasible biomarkers for predicting postoperative prognosis in NSCLC patients. The combination of hematological, radiological, and pathological features could be valuable tools to guide postoperative management and treatment decisions in these patients. A multimodal prognostic approach is important for the clinical evaluation of lung cancer.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungLung NeoplasmsNeoplastic Cells, CirculatingAdultAgedDisease-Free SurvivalFemaleHumansMaleMiddle AgedPrognosisROC CurveBiomarkers, TumorCirculating tumor cellsLung cancerPrognosisRadiological analysisTumor markers

Identifiers

PMID39627742
PMCPMC11616275

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.