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EPAC-肺:欧洲对小细胞肺癌中循环肿瘤细胞预后价值的汇总分析。

EPAC-lung: European pooled analysis of the prognostic value of circulating tumour cells in small cell lung cancer.

作者信息

Foy Victoria, Lindsay Colin R, Carmel Alexandra, Fernandez-Gutierrez Fabiola, Krebs Matthew G, Priest Lynsey, Carter Mathew, Groen Harry J M, Hiltermann T Jeroen N, de Luca Antonella, Farace Francoise, Besse Benjamin, Terstappen Leon, Rossi Elisabetta, Morabito Alessandro, Perrone Francesco, Renehan Andrew, Faivre-Finn Corinne, Normanno Nicola, Dive Caroline, Blackhall Fiona, Michiels Stefan

机构信息

Cancer Research UK Manchester Institute Cancer Biomarker Centre, Cancer Research UK Manchester Institute, University of Manchester, Manchester, UK.

Department of Medical Oncology, The Christie NHS Foundation Trust, Wilmslow Road, Manchester, M20 4BX, UK.

出版信息

Transl Lung Cancer Res. 2021 Apr;10(4):1653-1665. doi: 10.21037/tlcr-20-1061.

DOI:10.21037/tlcr-20-1061
PMID:
34012782
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8107738/
Abstract

BACKGROUND

Circulating tumour cell (CTC) number is an independent prognostic factor in patients with small cell lung cancer (SCLC) but there is no consensus on the CTC threshold for prognostic significance. We undertook a pooled analysis of individual patient data to clinically validate CTC enumeration and threshold for prognostication.

METHODS

Four European cancer centres, experienced in CellSearch CTC enumeration for SCLC provided pseudo anonymised data for patients who had undergone pre-treatment CTC count. Data was collated, and Cox regression models, stratified by centre, explored the relationship between CTC count and survival. The added value of incorporating CTCs into clinico-pathological models was investigated using likelihood ratio tests.

RESULTS

A total of 367 patient records were evaluated. A one-unit increase in log-transformed CTC counts corresponded to an estimated hazard ratio (HR) of 1.24 (95% CI: 1.19-1.29, P<0.0001) for progression free survival (PFS) and 1.23 (95% CI: 1.18-1.28, P<0.0001) for overall survival (OS). CTC count of ≥15 or ≥50 was significantly associated with an increased risk of progression (CTC ≥15: HR 3.20, 95% CI: 2.50-4.09, P<0.001; CTC ≥50: HR 2.56, 95% CI: 2.01-3.25, P<0.001) and an increased risk of death (CTC ≥15: HR 2.90, 95% CI: 2.28-3.70, P<0.001; CTC ≥50: HR 2.47, 95% CI: 1.95-3.13, P<0.001). There was no significant inter-centre heterogeneity observed. Addition of CTC count to clinico-pathological models as a continuous log-transformed variable, offers further prognostic value (both likelihood ratio P<0.001 for OS and PFS).

CONCLUSIONS

Higher pre-treatment CTC counts are a negative independent prognostic factor in SCLC when considered as a continuous variable or dichotomised counts of ≥15 or ≥50. Incorporating CTC counts, as a continuous variable, improves clinic-pathological prognostic models.

摘要

背景

循环肿瘤细胞(CTC)数量是小细胞肺癌(SCLC)患者的独立预后因素,但对于具有预后意义的CTC阈值尚无共识。我们对个体患者数据进行了汇总分析,以临床验证CTC计数及预后阈值。

方法

四个在SCLC的CellSearch CTC计数方面经验丰富的欧洲癌症中心提供了接受过治疗前CTC计数患者的伪匿名数据。数据进行了整理,通过按中心分层的Cox回归模型探索了CTC计数与生存之间的关系。使用似然比检验研究了将CTC纳入临床病理模型的附加价值。

结果

共评估了367例患者记录。对数转换后的CTC计数每增加一个单位,无进展生存期(PFS)的估计风险比(HR)为1.24(95%CI:1.19 - 1.29,P<0.0001),总生存期(OS)的估计风险比为1.23(95%CI:1.18 - 1.28,P<0.0001)。CTC计数≥15或≥50与疾病进展风险增加显著相关(CTC≥15:HR 3.20,95%CI:2.50 - 4.09,P<0.001;CTC≥50:HR 2.56,95%CI:2.01 - 3.25,P<0.001)以及死亡风险增加显著相关(CTC≥15:HR 2.90,95%CI:2.28 - 3.70,P<0.001;CTC≥50:HR 2.47,95%CI:1.95 - 3.13,P<0.001)。未观察到显著的中心间异质性。将CTC计数作为连续的对数转换变量添加到临床病理模型中,可提供进一步的预后价值(OS和PFS的似然比P均<0.001)。

结论

当将治疗前较高的CTC计数视为连续变量或≥15或≥50的二分计数时,其是SCLC的负面独立预后因素。将CTC计数作为连续变量纳入可改善临床病理预后模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f80/8107738/8a906fea494d/tlcr-10-04-1653-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f80/8107738/5f2331364435/tlcr-10-04-1653-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f80/8107738/747ec7575a1a/tlcr-10-04-1653-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f80/8107738/8a906fea494d/tlcr-10-04-1653-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f80/8107738/5f2331364435/tlcr-10-04-1653-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f80/8107738/747ec7575a1a/tlcr-10-04-1653-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f80/8107738/8a906fea494d/tlcr-10-04-1653-f3.jpg

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