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Ye JH, Yu J, Huang MY, Mo YM. The correlation study between TOP2A gene expression in circulating tumor cells and chemotherapeutic drug resistance of patients with breast cancer. Breast Cancer 2024; 31:417-425. [PMID: 38561479 PMCID: PMC11045578 DOI: 10.1007/s12282-024-01553-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 02/11/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND Patients with breast cancer (BC) at advanced stages have poor outcomes because of high rate of recurrence and metastasis. Biomarkers for predicting prognosis remain to be explored. This study aimed to evaluate the relationships between circulating tumor cells (CTCs) and outcomes of BC patients. PATIENTS AND METHODS A total of 50 female were enrolled in this study. Their diagnoses were determined by clinical characteristics, image data, and clinical pathology. CTC subtypes and TOP2A gene expression on CTCs were detected by CanPatrol™ technology and triple color in situ RNA hybridization (RNA-ISH), which divided into epithelial CTCs (eCTCs), mesenchymal CTCs (MCTCs), and hybrid CTCs (HCTCs) based on their surface markers. Hormone receptor, including estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER-2) expression, was measured by immunohistochemistry (IHC) method before treatment. The risk factors for predicting recurrence and metastasis were calculated by COX risk regression model. The progression-free survival (PFS) of patients was determined using Kaplan-Meier survival curve. RESULTS The patients with a large tumor size (≥ 3 cm) and advanced tumor node metastasis (TNM) stages had high total CTCs (TCTCs) (P < 0.05). These patients also had high TOP2A expression level. COX risk regression analysis indicated that TOP2A expression levels in TCTCs, ER + , HER-2 + , and TNM stages were critical risk factors for recurrence and metastasis of patients (P < 0.05). The PFS of patients with ≥ 5 TCTCs, ≥ 3 HCTCs, and positive TOP2A expression in ≥ 3 TCTCs was significantly longer than that in patient with < 5 TCTCs, < 3 HCTCs, and TOP2A expression in < 3 TCTCs (P < 0.05). In contrast, the PFS of patients with positive hormone receptors (ER + , PR + , HER-2 +) also was dramatically lived longer than that in patients with negative hormone receptor expression. CONCLUSIONS High TCTC, HCTCs, and positive TOP2A gene expression on CTCs were critical biomarkers for predicting outcomes of BC patients. Positive hormone receptor expression in BC patients has significant favor PFS.
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MESH Headings
- Humans
- Female
- Neoplastic Cells, Circulating/metabolism
- Neoplastic Cells, Circulating/pathology
- Breast Neoplasms/pathology
- Breast Neoplasms/genetics
- Breast Neoplasms/drug therapy
- DNA Topoisomerases, Type II/genetics
- DNA Topoisomerases, Type II/metabolism
- Middle Aged
- Drug Resistance, Neoplasm/genetics
- Biomarkers, Tumor/genetics
- Biomarkers, Tumor/metabolism
- Adult
- Aged
- Receptor, ErbB-2/metabolism
- Prognosis
- Receptors, Estrogen/metabolism
- Poly-ADP-Ribose Binding Proteins/genetics
- Poly-ADP-Ribose Binding Proteins/metabolism
- Neoplasm Recurrence, Local/pathology
- Neoplasm Recurrence, Local/genetics
- Receptors, Progesterone/metabolism
- Gene Expression Regulation, Neoplastic
- Progression-Free Survival
- Kaplan-Meier Estimate
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Affiliation(s)
- Jin-Hui Ye
- Department of Breast Disease, The First People's Hospital of Zhaoqing, Zhaoqing, 526021, Guangdong, China
| | - Jian Yu
- Department of Breast Disease, The First People's Hospital of Zhaoqing, Zhaoqing, 526021, Guangdong, China
| | - Ming-Ying Huang
- Department of Breast Disease, The First People's Hospital of Zhaoqing, Zhaoqing, 526021, Guangdong, China.
| | - Yue-Mei Mo
- Department of Breast Disease, The First People's Hospital of Zhaoqing, Zhaoqing, 526021, Guangdong, China.
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Acheampong E, Allsopp RC, Page K, Wadsley MK, Beasley AB, Coombes RC, Shaw JA, Gray ES. Meta-Analysis of Circulating Tumor Cell PD-L1 Expression and the Association with Clinical Outcomes in Non-Small Cell Lung Cancer. Clin Chem 2024; 70:234-249. [PMID: 38175603 DOI: 10.1093/clinchem/hvad187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 08/23/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Programmed death ligand-1 (PD-L1) expression on circulating tumor cells (CTCs) has been suggested to provide prognostic information in non-small cell lung cancer (NSCLC), but consensus relative to treatment outcomes is lacking. We conducted the first comprehensive meta-analysis exploring its potential as a prognostic and predictive marker, and assessed the concordance between PD-L1 + CTCs and paired tumor tissue in NSCLC patients. METHOD A comprehensive search was applied to PubMed and EMBASE to identify 26 studies that evaluated PD-L1 + CTCs and their association with survival outcomes in 1236 NSCLC patients. RESULTS The meta-analysis estimated a mean PD-L1 + CTCs detection rate of 61% (95% CI, 49-72). Subgroup analysis based on treatment showed that PD-L1 + CTCs was not significantly associated with better overall survival (OS) in NSCLC patients treated with immune checkpoint inhibitors (ICIs) (Hazard Ratio (HR) = 0.96, 95% CI, 0.35-2.65, P = 0.944), but was predictive of worse OS in those treated with other therapies (HR = 2.11, 95% CI, 1.32-3.36, P = 0.002). Similarly, PD-L1 + CTCs was not significantly associated with superior progressing free survival (PFS) in NSCLCs treated with ICIs (HR = 0.67, 95% CI, 0.41-1.09, P = 0.121), but was significantly associated with shorter PFS in patients treated with other therapies (HR = 1.91, 95% CI, 1.24-2.94, P = 0.001). The overall estimate for the concordance between PD-L1 expression on CTCs and tumor cells was 63% (95% CI, 44-80). CONCLUSION The average detection rate of PD-L1 + CTCs was comparable to the rate of PD-L1 expression in NSCLC tumors. There was a trend towards better PFS in ICI-treated NSCLC patients with PD-L1 + CTCs. Larger longitudinal studies on the association of PD-L1 + CTCs with clinical outcomes in NSCLC patients treated with ICIs are warranted.
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Affiliation(s)
- Emmanuel Acheampong
- Leicester Cancer Research Centre, Department of Genetic and Genome Biology, University of Leicester, Leicester, United Kingdom
- Institute of Precision Health, University of Leicester, Leicester, United Kingdom
| | - Rebecca C Allsopp
- Leicester Cancer Research Centre, Department of Genetic and Genome Biology, University of Leicester, Leicester, United Kingdom
- Institute of Precision Health, University of Leicester, Leicester, United Kingdom
| | - Karen Page
- Leicester Cancer Research Centre, Department of Genetic and Genome Biology, University of Leicester, Leicester, United Kingdom
- Institute of Precision Health, University of Leicester, Leicester, United Kingdom
| | - Marc K Wadsley
- Leicester Cancer Research Centre, Department of Genetic and Genome Biology, University of Leicester, Leicester, United Kingdom
- Institute of Precision Health, University of Leicester, Leicester, United Kingdom
| | - Aaron B Beasley
- School of Medical and Health Sciences, Edith Cowan University, Perth, Joondalup, WA, Australia
- Centre for Precision Health, Edith Cowan University, Joondalup, WA, Australia
| | - R Charles Coombes
- Department of Surgery and Cancer, Imperial College London, Hammersmith, Hospital Campus, London, United Kingdom
| | - Jacqui A Shaw
- Leicester Cancer Research Centre, Department of Genetic and Genome Biology, University of Leicester, Leicester, United Kingdom
- Institute of Precision Health, University of Leicester, Leicester, United Kingdom
| | - Elin S Gray
- School of Medical and Health Sciences, Edith Cowan University, Perth, Joondalup, WA, Australia
- Centre for Precision Health, Edith Cowan University, Joondalup, WA, Australia
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Cai R, Liao X, Li G, Xiang J, Ye Q, Chen M, Feng S. The use of non-steroid anti-inflammatory drugs during radical resection correlated with the outcome in non-small cell lung cancer. World J Surg Oncol 2023; 21:358. [PMID: 37986068 PMCID: PMC10662740 DOI: 10.1186/s12957-023-03247-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 11/13/2023] [Indexed: 11/22/2023] Open
Abstract
AIMS The use of non-steroid anti-inflammatory drugs (NSAIDs) is conventional in management of postoperative pain in cancer patients, and further investigations have reported that some of these drugs correlated with the outcome in cancers. However, the prognostic value of the use of NSAIDs during surgery in non-small cell lung cancer (NSCLC) patients has been less addressed. METHODS NSCLC patients staged I-III are retrospectively enrolled, and the data of the use of NSAIDs during surgery are collected. Patients are divided into two subgroups according to the use intensity (UI) (low or high) of the NSAIDs, which was calculated by the accumulate dosage of all the NSAIDs divided by the length of hospitalization. The differences of the clinical features among these groups were checked. And the disease-free survival (DFS) and overall survival (OS) differences in these groups were compared by Kaplan-Meier analysis; risk factors for survival were validated by using a Cox proportional hazards model. RESULTS The UI was significant in predicting the DFS (AUC = 0.65, 95% CI: 0.57-0.73, P = 0.001) and OS (AUC = 0.70, 95% CI: 0.59-0.81, P = 0.001). Clinical features including type of resection (P = 0.001), N stages (P < 0.001), and TNM stages (P = 0.004) were significantly different in UI low (< 74.55 mg/day) or high (≥ 74.55 mg/day) subgroups. Patients in UI-high subgroups displayed significant superior DFS (log rank = 11.46, P = 0.001) and OS (log rank = 7.63, P = 0.006) than the UI-low ones. At last, the UI was found to be an independent risk factor for DFS (HR: 0.52, 95% CI: 0.28-0.95, P = 0.034). CONCLUSIONS The use of NSAIDs during radical resection in NSCLC patients correlated with the outcome and patients with a relative high UI has better outcome.
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Affiliation(s)
- Renzhong Cai
- Department of Thoracic Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou City, Hainan Province, 570311, People's Republic of China
| | - Xuqiang Liao
- Department of Thoracic Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou City, Hainan Province, 570311, People's Republic of China
| | - Gao Li
- Department of Thoracic Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou City, Hainan Province, 570311, People's Republic of China
| | - Jia Xiang
- Department of Oncology, Hainan Hospital of PLA General Hospital, Sanya City, Hainan Province, 572000, People's Republic of China
| | - Qianwen Ye
- Department of Oncology, Hainan Hospital of PLA General Hospital, Sanya City, Hainan Province, 572000, People's Republic of China
| | - Minbiao Chen
- Department of Thoracic Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou City, Hainan Province, 570311, People's Republic of China.
| | - Shouhan Feng
- Department of Oncology, Huzhou Traditional Chinese Medicine Hospital Affiliated to Zhejiang Chinese Medical University, Huzhou City, Zhejiang Province, 313000, People's Republic of China.
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Lu T, Oomens L, Terstappen LWMM, Prakash J. In Vivo Detection of Circulating Cancer-Associated Fibroblasts in Breast Tumor Mouse Xenograft: Impact of Tumor Stroma and Chemotherapy. Cancers (Basel) 2023; 15:cancers15041127. [PMID: 36831470 PMCID: PMC9954095 DOI: 10.3390/cancers15041127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 02/01/2023] [Accepted: 02/08/2023] [Indexed: 02/12/2023] Open
Abstract
Cancer-associated fibroblasts (CAFs) are important drivers in the tumor microenvironment and facilitate the growth and survival of tumor cells, as well as metastasis formation. They may travel together with tumor cells to support their survival and aid in the formation of a metastatic niche. In this study, we aimed to study circulating CAFs (cCAFs) and circulating tumor cells (CTCs) in a preclinical breast tumor model in mice in order to understand the effect of chemotherapy on cCAFs and CTC formation. Tumors with MDA-MB-231 human breast tumor cells with/without primary human mammary fibroblasts (representing CAFs) were coinjected in SCID mice to develop tumors. We found that the tumors with CAFs grew faster than tumors without CAFs. To study the effect of the stroma on CTCs and cCAFs, we isolated cells using microsieve filtration technology and established ITGA5 as a new cCAF biomarker, which showed good agreement with the CAF markers FAP and α-SMA. We found that ITGA5+ cCAFs shed in the blood of mice bearing stroma-rich coinjection-based tumors, while there was no difference in CTC formation. Although treatment with liposomal doxorubicin reduced tumor growth, it increased the numbers of both cCAFs and CTCs in blood. Moreover, cCAFs and CTCs were found to form clusters in the chemotherapy-treated mice. Altogether, these findings indicate that the tumor stroma supports tumor growth and the formation of cCAFs. Furthermore, chemotherapy may exacerbate the formation of cCAFs and CTCs, which may eventually support the formation of a metastasis niche in breast cancer.
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Affiliation(s)
- Tao Lu
- Engineered Therapeutics, Department of Advanced Organ Bioengineering and Therapeutics, TechMed Centre, Faculty of Science and Technology, University of Twente, Drienerlolaan 5, 7500 AE Enschede, The Netherlands
| | - Lisa Oomens
- VyCAP B.V., Capitool 41, 7521 PL Enschede, The Netherlands
| | - Leon W. M. M. Terstappen
- Medical Cell BioPhysics, Faculty of Science and Technology, University of Twente, Hallenweg 23, 7522 NH Enschede, The Netherlands
| | - Jai Prakash
- Engineered Therapeutics, Department of Advanced Organ Bioengineering and Therapeutics, TechMed Centre, Faculty of Science and Technology, University of Twente, Drienerlolaan 5, 7500 AE Enschede, The Netherlands
- Correspondence:
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5
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Cohen EN, Jayachandran G, Gao H, Peabody P, McBride HB, Alvarez FD, Bravo PL, Qiao W, Liu S, Yao L, Lin SH, Reuben JM. Gene expression profiling of circulating tumor cells captured by MicroCavity Array is superior to enumeration in demonstrating therapy response in patients with newly diagnosed advanced and locally advanced non-small cell lung cancer. Transl Lung Cancer Res 2023; 12:109-126. [PMID: 36762061 PMCID: PMC9903084 DOI: 10.21037/tlcr-22-314] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 09/12/2022] [Indexed: 01/18/2023]
Abstract
Background Circulating tumor cells (CTCs) are a promising non-invasive tool for monitoring therapy response. The only Food and Drug Administration (FDA)-approved test is limited to enumeration of epithelial CTC without further characterization and is not approved for the management of non-small cell lung cancer (NSCLC). Here we use a MicroCavity Array (MCA) system to capture CTC agnostic of epithelial markers for further molecular testing in NSCLC. Methods CTCs were enumerated by fluorescent microscopy as longitudinal sampling throughout disease management from 213 NSCLC patients. CTC-enriched samples from a subset of 127 patients were interrogated for gene expression by reverse transcription polymerase chain reaction (RT-PCR) using a customized pre-selected panel of 20 genes. Results At least 1 CTC was detected by enumeration in 53.8% of samples. Most patients had fewer than 5 CTCs (91%) and the highest observed count was 35 CTCs. Enumeration of single CTCs was not prognostic, although detection of CTC clusters at any time point was associated with increased risk of progression [hazard ratio (HR) 3.00, 95% confidence interval (CI): 1.1-8.2, P=0.0318]. In contrast, 124 (97.6%) patients with samples interrogated for gene expression had at least 1 gene detectable in at least 1 sample, and 101 (79.5%) had at least one elevated epithelial gene in at least one timepoint. High expression of BCL2, CD274 [programmed death-ligand 1 (PD-L1)], CDH1, EPCAM, FGFR1, FN1, KRT18, MET and MUC1 were associated with poor prognosis. Patients with CTCs positive for at least 3 epithelial genes at baseline all progressed within 10 months (HR 8.2, P<0.001, 95% CI: 3.2-21.1). BCL2, CD274 (PD-L1), EPCAM and MUC1 remained significant independent prognostic factors in multivariate, time-dependent analyses of progression and death. Conclusions The selective profile of CTC genes and identification of CTC clusters better correlated with prognosis than enumeration of enriched CTC in NSCLC patients in this study.
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Affiliation(s)
- Evan N. Cohen
- Department of Hematopathology Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gitanjali Jayachandran
- Department of Hematopathology Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hui Gao
- Department of Hematopathology Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Phillip Peabody
- Department of Hematopathology Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Heather B. McBride
- Department of Hematopathology Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Franklin D. Alvarez
- Department of Hematopathology Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pablo Lopez Bravo
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wei Qiao
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Suyu Liu
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luyang Yao
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Steven H. Lin
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - James M. Reuben
- Department of Hematopathology Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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6
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Jin F, Zhu L, Shao J, Yakoub M, Schmitt L, Reißfelder C, Loges S, Benner A, Schölch S. Circulating tumour cells in patients with lung cancer universally indicate poor prognosis. Eur Respir Rev 2022; 31:31/166/220151. [PMID: 36517047 PMCID: PMC9879327 DOI: 10.1183/16000617.0151-2022] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 09/27/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND In lung cancer, the relevance of various circulating tumour cell (CTC) subgroups in different lung cancer subtypes is unclear. We performed a comprehensive meta-analysis to assess the prognostic value of CTCs in the different histological types of lung cancer, with particular respect to CTC subtypes, cut-offs and time points of CTC enumeration. METHODS We searched MEDLINE, Web of Science and Embase alongside relevant studies evaluating the prognostic value of CTCs in lung cancer patients. A random-effects model was used for meta-analysis, calculating hazard ratios (HRs), 95% confidence intervals and p-values. RESULTS 27 studies enrolling 2957 patients were included. CTC detection indicates poor prognosis, especially in small cell lung cancer (SCLC) patients (overall survival HR 3.11, 95% CI 2.59-3.73) and predicts a worse outcome compared to nonsmall cell lung cancer patients. Epithelial CTCs predict a worse outcome for lung cancer than mesenchymal CTCs or epithelial-mesenchymal hybrids. CONCLUSION CTCs indicate poor prognosis in patients with primary lung cancer, with CTCs in SCLC having a more pronounced prognostic effect. The prognostic value of CTCs detected by different markers varies; most evidence is available for the strong negative prognostic effect of epithelial CTCs.
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Affiliation(s)
- Fukang Jin
- JCCU Translational Surgical Oncology (A430), German Cancer Research Center (DKFZ), Heidelberg, Germany,DKFZ-Hector Cancer Institute at University Medical Center Mannheim, Mannheim, Germany,Department of Surgery, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany,These co-first authors contributed equally to this work
| | - Lei Zhu
- JCCU Translational Surgical Oncology (A430), German Cancer Research Center (DKFZ), Heidelberg, Germany,DKFZ-Hector Cancer Institute at University Medical Center Mannheim, Mannheim, Germany,Department of Surgery, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany,These co-first authors contributed equally to this work
| | - Jingbo Shao
- Department of Surgery, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Mina Yakoub
- JCCU Translational Surgical Oncology (A430), German Cancer Research Center (DKFZ), Heidelberg, Germany,DKFZ-Hector Cancer Institute at University Medical Center Mannheim, Mannheim, Germany,Department of Surgery, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lukas Schmitt
- JCCU Translational Surgical Oncology (A430), German Cancer Research Center (DKFZ), Heidelberg, Germany,DKFZ-Hector Cancer Institute at University Medical Center Mannheim, Mannheim, Germany,Department of Surgery, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Christoph Reißfelder
- DKFZ-Hector Cancer Institute at University Medical Center Mannheim, Mannheim, Germany,Department of Surgery, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Sonja Loges
- DKFZ-Hector Cancer Institute at University Medical Center Mannheim, Mannheim, Germany,Division of Personalized Medical Oncology (A420), German Cancer Research Center (DKFZ), Heidelberg, Germany,Department of Personalized Oncology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Axel Benner
- Division of Biostatistics (C060), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sebastian Schölch
- JCCU Translational Surgical Oncology (A430), German Cancer Research Center (DKFZ), Heidelberg, Germany,DKFZ-Hector Cancer Institute at University Medical Center Mannheim, Mannheim, Germany,Department of Surgery, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany,Corresponding author: Sebastian Schölch ()
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Wankhede D, Grover S, Hofman P. Circulating Tumor Cells as a Predictive Biomarker in Resectable Lung Cancer: A Systematic Review and Meta-Analysis. Cancers (Basel) 2022; 14:cancers14246112. [PMID: 36551601 PMCID: PMC9776809 DOI: 10.3390/cancers14246112] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/04/2022] [Accepted: 12/09/2022] [Indexed: 12/14/2022] Open
Abstract
Background: In breast, prostate, and other epithelial tumors, circulating tumor cells (CTC) in peripheral blood may predict survival. Our study evaluated the prognostic significance of baseline and postoperative CTC in patients with early non-small cell lung cancer (NSCLC) through a meta-analytic approach. Methods: Prospective studies comparing survival outcomes between positive (CTC+) and negative CTC (CTC−) patients were systematically searched. Primary outcomes were overall (OS) and disease-free survival (DFS) with hazard ratio (HR) and 95% confidence interval (CI) as the effect measure. Pooled HR determined the prognostic role under a fixed-effect or random-effect model depending on heterogeneity. Results: Eighteen studies with 1321 patients were eligible. CTC+ patients were associated with an increased risk of death (HR 3.53, 95% CI 2.51−4.95; p < 0.00001) and relapse (HR 2.97, 95% CI 2.08−4.22; p < 0.00001). Subgroup analysis results were consistent in different subsets, including time points (baseline and postoperative) and sources (peripheral and pulmonary vein) of blood collection, detection methods (label-free, label-dependent, and RT-PCR), and follow-up duration. Conclusion: Our meta-analysis revealed that CTC is a promising predictive biomarker for stratifying survival outcomes in patients with early-stage NSCLC. However, future studies are required to validate these findings and standardize detection methods.
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Affiliation(s)
- Durgesh Wankhede
- Department of Surgical Oncology, All India Institute of Medical Sciences, New Delhi 110029, India
- Correspondence:
| | - Sandeep Grover
- Center for Human Genetics, Universitatsklinikum Giessen und Marburg—Standort Marburg, 35055 Marburg, Germany
| | - Paul Hofman
- Laboratory of Clinical and Experimental Pathology, CHU Nice, FHU OncoAge, University Côte d’Azur, 06100 Nice, France
- Team 4, IRCAN, UMR 7284/U10181, FHU OncoAge, University Côte d’Azur, 06107 Nice, France
- Hospital-Integrated Biobank (BB-0033-00025), CHU Nice, FHU OncoAge, University Côte d’Azur, 06100 Nice, France
- European Liquid Biopsy Society, Martinistrasse 52 Building N27 Room 4.003, 20246 Hamburg, Germany
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Basu A, Paul MK, Weiss S. The actin cytoskeleton: Morphological changes in pre- and fully developed lung cancer. BIOPHYSICS REVIEWS 2022; 3:041304. [PMID: 38505516 PMCID: PMC10903407 DOI: 10.1063/5.0096188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 12/09/2022] [Indexed: 03/21/2024]
Abstract
Actin, a primary component of the cell cytoskeleton can have multiple isoforms, each of which can have specific properties uniquely suited for their purpose. These monomers are then bound together to form polymeric filaments utilizing adenosine triphosphate hydrolysis as a source of energy. Proteins, such as Arp2/3, VASP, formin, profilin, and cofilin, serve important roles in the polymerization process. These filaments can further be linked to form stress fibers by proteins called actin-binding proteins, such as α-actinin, myosin, fascin, filamin, zyxin, and epsin. These stress fibers are responsible for mechanotransduction, maintaining cell shape, cell motility, and intracellular cargo transport. Cancer metastasis, specifically epithelial mesenchymal transition (EMT), which is one of the key steps of the process, is accompanied by the formation of thick stress fibers through the Rho-associated protein kinase, MAPK/ERK, and Wnt pathways. Recently, with the advent of "field cancerization," pre-malignant cells have also been demonstrated to possess stress fibers and related cytoskeletal features. Analytical methods ranging from western blot and RNA-sequencing to cryo-EM and fluorescent imaging have been employed to understand the structure and dynamics of actin and related proteins including polymerization/depolymerization. More recent methods involve quantifying properties of the actin cytoskeleton from fluorescent images and utilizing them to study biological processes, such as EMT. These image analysis approaches exploit the fact that filaments have a unique structure (curvilinear) compared to the noise or other artifacts to separate them. Line segments are extracted from these filament images that have assigned lengths and orientations. Coupling such methods with statistical analysis has resulted in development of a new reporter for EMT in lung cancer cells as well as their drug responses.
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Affiliation(s)
| | | | - Shimon Weiss
- Author to whom correspondence should be addressed:
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PD-L1/pS6 in Circulating Tumor Cells (CTCs) during Osimertinib Treatment in Patients with Non-Small Cell Lung Cancer (NSCLC). Biomedicines 2022; 10:biomedicines10081893. [PMID: 36009440 PMCID: PMC9405335 DOI: 10.3390/biomedicines10081893] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 07/29/2022] [Accepted: 08/02/2022] [Indexed: 11/16/2022] Open
Abstract
The PD-1/PD-L1 axis provides CTCs an escape route from the immune system. Phosphorylation of the ribosomal protein S6 is implicated in the same pathway, following mTOR activation. The aim of the study was to investigate the expression of PD-L1 and pS6 in CTCs from NSCLC patients under Osimertinib treatment at a single cell level. CTCs were isolated using ISET from NSCLC patients’ blood [37 at baseline, 25 after the 1st cycle, and 23 at the end of treatment (EOT)]. Staining was performed using immunofluorescence. Cytokeratin-positive (CK+) CTCs were detected in 62% of patients. CK+PD-L1+CD45− and CK+pS6+ phenotypes were detected in 38% and 41% of the patients at baseline, in 28% and 32% after 1st cycle, and in 30% and 35% at EOT, respectively. Spearman’s analysis revealed statistically significant correlations between PD-L1 and pS6 phenotypes at all time points. Survival analysis revealed that CK+pS6+ (p = 0.003) and CKlowpS6+ (p = 0.021) phenotypes after 1st cycle were related to significantly decreased one-year progression-free survival (PFS12m) and PFS, respectively. CK+PD-L1+CD45−phenotype at baseline and after 1st cycle showed a trend for decreased PFS12m. Increased expression of PD-L1/pS6 in CTCs of Osimertinib-treated NSCLC patients implies the activation of the corresponding pathway, which is potentially associated with poor clinical outcomes.
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10
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Kapeleris J, Ebrahimi Warkiani M, Kulasinghe A, Vela I, Kenny L, Ladwa R, O'Byrne K, Punyadeera C. Clinical Applications of Circulating Tumour Cells and Circulating Tumour DNA in Non-Small Cell Lung Cancer-An Update. Front Oncol 2022; 12:859152. [PMID: 35372000 PMCID: PMC8965052 DOI: 10.3389/fonc.2022.859152] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 02/14/2022] [Indexed: 12/14/2022] Open
Abstract
Despite efforts to improve earlier diagnosis of non-small cell lung cancer (NSCLC), most patients present with advanced stage disease, which is often associated with poor survival outcomes with only 15% surviving for 5 years from their diagnosis. Tumour tissue biopsy is the current mainstream for cancer diagnosis and prognosis in many parts of the world. However, due to tumour heterogeneity and accessibility issues, liquid biopsy is emerging as a game changer for both cancer diagnosis and prognosis. Liquid biopsy is the analysis of tumour-derived biomarkers in body fluids, which has remarkable advantages over the use of traditional tumour biopsy. Circulating tumour cells (CTCs) and circulating tumour DNA (ctDNA) are two main derivatives of liquid biopsy. CTC enumeration and molecular analysis enable monitoring of cancer progression, recurrence, and treatment response earlier than traditional biopsy through a minimally invasive liquid biopsy approach. CTC-derived ex-vivo cultures are essential to understanding CTC biology and their role in metastasis, provide a means for personalized drug testing, and guide treatment selection. Just like CTCs, ctDNA provides opportunity for screening, monitoring, treatment evaluation, and disease surveillance. We present an updated review highlighting the prognostic and therapeutic significance of CTCs and ctDNA in NSCLC.
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Affiliation(s)
- Joanna Kapeleris
- Saliva and Liquid Biopsy Translational Laboratory, The Centre for Biomedical Technologies, The School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD, Australia.,Translational Research Institute, Brisbane, QLD, Australia
| | | | - Arutha Kulasinghe
- Translational Research Institute, Brisbane, QLD, Australia.,The School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| | - Ian Vela
- The School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia.,Australian Prostate Cancer Research Centre, Queensland, Institute of Health and Biomedical Innovation, Queensland University of Technology, Princess Alexandra Hospital, Translational Research Institute, Brisbane, QLD, Australia.,Department of Urology, Princess Alexandra Hospital, Woolloongabba, QLD, Australia
| | - Liz Kenny
- School of Medicine, University of Queensland, Royal Brisbane and Women's Hospital, Central Integrated Regional Cancer Service, Queensland Health, Brisbane, QLD, Australia
| | - Rahul Ladwa
- Department of Medical Oncology, Princess Alexandra Hospital, Woolloongabba, QLD, Australia.,School of Medicine, University of Queensland, Herston, QLD, Australia
| | - Kenneth O'Byrne
- Translational Research Institute, Brisbane, QLD, Australia.,Department of Medical Oncology, Princess Alexandra Hospital, Woolloongabba, QLD, Australia
| | - Chamindie Punyadeera
- Saliva and Liquid Biopsy Translational Laboratory, The Centre for Biomedical Technologies, The School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD, Australia.,Translational Research Institute, Brisbane, QLD, Australia.,Saliva and Liquid Biopsy Translational Laboratory, Griffith Institute for Drug Discovery and Menzies Health Institute Queensland, Griffith University, Nathan, QLD, Australia
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11
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Guo Z, Lin X, Hui Y, Wang J, Zhang Q, Kong F. Circulating Tumor Cell Identification Based on Deep Learning. Front Oncol 2022; 12:843879. [PMID: 35252012 PMCID: PMC8889528 DOI: 10.3389/fonc.2022.843879] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 01/21/2022] [Indexed: 12/18/2022] Open
Abstract
As a major reason for tumor metastasis, circulating tumor cell (CTC) is one of the critical biomarkers for cancer diagnosis and prognosis. On the one hand, CTC count is closely related to the prognosis of tumor patients; on the other hand, as a simple blood test with the advantages of safety, low cost and repeatability, CTC test has an important reference value in determining clinical results and studying the mechanism of drug resistance. However, the determination of CTC usually requires a big effort from pathologist and is also error-prone due to inexperience and fatigue. In this study, we developed a novel convolutional neural network (CNN) method to automatically detect CTCs in patients’ peripheral blood based on immunofluorescence in situ hybridization (imFISH) images. We collected the peripheral blood of 776 patients from Chifeng Municipal Hospital in China, and then used Cyttel to delete leukocytes and enrich CTCs. CTCs were identified by imFISH with CD45+, DAPI+ immunofluorescence staining and chromosome 8 centromeric probe (CEP8+). The sensitivity and specificity based on traditional CNN prediction were 95.3% and 91.7% respectively, and the sensitivity and specificity based on transfer learning were 97.2% and 94.0% respectively. The traditional CNN model and transfer learning method introduced in this paper can detect CTCs with high sensitivity, which has a certain clinical reference value for judging prognosis and diagnosing metastasis.
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Affiliation(s)
- Zhifeng Guo
- Department of Oncology, Chifeng Municipal Hospital, Chifeng, China
| | - Xiaoxi Lin
- Department of Oncology, Chifeng Municipal Hospital, Chifeng, China
| | - Yan Hui
- Department of Oncology, Chifeng Municipal Hospital, Chifeng, China
| | - Jingchun Wang
- Department of Oncology, Chifeng Municipal Hospital, Chifeng, China
| | - Qiuli Zhang
- Department of Oncology, Chifeng Municipal Hospital, Chifeng, China
| | - Fanlong Kong
- Department of Oncology, Chifeng Municipal Hospital, Chifeng, China
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12
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Lin D, Shen L, Luo M, Zhang K, Li J, Yang Q, Zhu F, Zhou D, Zheng S, Chen Y, Zhou J. Circulating tumor cells: biology and clinical significance. Signal Transduct Target Ther 2021; 6:404. [PMID: 34803167 PMCID: PMC8606574 DOI: 10.1038/s41392-021-00817-8] [Citation(s) in RCA: 280] [Impact Index Per Article: 93.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 10/06/2021] [Accepted: 10/27/2021] [Indexed: 02/07/2023] Open
Abstract
Circulating tumor cells (CTCs) are tumor cells that have sloughed off the primary tumor and extravasate into and circulate in the blood. Understanding of the metastatic cascade of CTCs has tremendous potential for the identification of targets against cancer metastasis. Detecting these very rare CTCs among the massive blood cells is challenging. However, emerging technologies for CTCs detection have profoundly contributed to deepening investigation into the biology of CTCs and have facilitated their clinical application. Current technologies for the detection of CTCs are summarized herein, together with their advantages and disadvantages. The detection of CTCs is usually dependent on molecular markers, with the epithelial cell adhesion molecule being the most widely used, although molecular markers vary between different types of cancer. Properties associated with epithelial-to-mesenchymal transition and stemness have been identified in CTCs, indicating their increased metastatic capacity. Only a small proportion of CTCs can survive and eventually initiate metastases, suggesting that an interaction and modulation between CTCs and the hostile blood microenvironment is essential for CTC metastasis. Single-cell sequencing of CTCs has been extensively investigated, and has enabled researchers to reveal the genome and transcriptome of CTCs. Herein, we also review the clinical applications of CTCs, especially for monitoring response to cancer treatment and in evaluating prognosis. Hence, CTCs have and will continue to contribute to providing significant insights into metastatic processes and will open new avenues for useful clinical applications.
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Affiliation(s)
- Danfeng Lin
- Department of Breast Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Department of Breast Surgery, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Lesang Shen
- Department of Breast Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Meng Luo
- Department of Breast Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Kun Zhang
- Department of Breast Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jinfan Li
- Department of Pathology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qi Yang
- Department of Pathology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Fangfang Zhu
- Department of Breast Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Dan Zhou
- Department of Surgery, Traditional Chinese Medical Hospital of Zhuji, Shaoxing, China
| | - Shu Zheng
- Department of Breast Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yiding Chen
- Department of Breast Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Jiaojiao Zhou
- Department of Breast Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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13
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Qian H, Zhang Y, Xu J, He J, Gao W. Progress and application of circulating tumor cells in non-small cell lung cancer. Mol Ther Oncolytics 2021; 22:72-84. [PMID: 34514090 PMCID: PMC8408556 DOI: 10.1016/j.omto.2021.05.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Non-small cell lung cancer (NSCLC) has the highest morbidity and mortality worldwide among malignant tumors. NSCLC is a great threat to health and well-being. Biopsy is the gold standard to diagnose lung cancer, but traditional biopsy methods cannot fully reflect the true condition of tumors. There is growing evidence that a single-point biopsy fails to reveal the complete landscape of the tumor due to intratumor heterogeneity, but it is impractical to complete multiple biopsies that are separated both spatially and temporally. Liquid biopsy heralds that a new era is coming. Circulating tumor cells (CTCs) are tumor cells that circulate in the peripheral blood after being shed from primary or metastatic tumors. CTCs constitute a considerable portion of a liquid biopsy, which contributes to the diagnosis, assessment of prognosis, and therapy of NSCLC. Herein, this review discusses the technologies for detection and enrichment of CTCs as well as clinical applications involving CTCs.
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Affiliation(s)
- Huizhu Qian
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China
| | - Yue Zhang
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China
| | - Jing Xu
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China
| | - Jing He
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China
| | - Wen Gao
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing 210029, China
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14
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Ouyang Y, Liu W, Zhang N, Yang X, Li J, Long S. Prognostic significance of programmed cell death-ligand 1 expression on circulating tumor cells in various cancers: A systematic review and meta-analysis. Cancer Med 2021; 10:7021-7039. [PMID: 34423578 PMCID: PMC8525108 DOI: 10.1002/cam4.4236] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 08/03/2021] [Accepted: 08/10/2021] [Indexed: 12/14/2022] Open
Abstract
Background The prognostic significance of programmed cell death‐ligand 1 (PD‐L1) expression on circulating tumor cells (CTCs) has been explored but is still in controversy. We performed, for the first time, a meta‐analysis to systematically evaluate its prognostic value in human cancers. Methods Literature databases were searched for eligible studies prior to June 30, 2021. The pooled hazard ratios (HRs) and 95% confidence intervals (95% CIs) were calculated for the associations of pre‐treatment and post‐treatment PD‐L1+ CTCs with progression‐free survival (PFS) and overall survival (OS). Subgroup analyses with regards to cancer type, treatment, CTC enrichment method, PD‐L1 detection method, cut‐off, and specifically the comparison model were performed. Results We included 30 eligible studies (32 cohorts, 1419 cancer patients) in our analysis. Pre‐treatment PD‐L1+ CTCs detected by immunofluorescence (IF) tended to predict better PFS (HR = 0.55, 95% CI 0.28–1.08, p = 0.084) and OS (HR = 0.61, 95% CI 0.36–1.04, p = 0.067) for immune checkpoint inhibitor (ICI) treatment, but were significantly associated with unfavorable survival for non‐ICI therapies (PFS: HR = 1.85, 95% CI 1.21–2.85, p = 0.005; OS: HR = 2.44, 95% CI 1.69–3.51, p < 0.001). Post‐treatment PD‐L1+ CTCs predicted markedly worse PFS and OS. The prognostic value was obviously modulated by comparison models. Among patients with detectable CTCs, PD‐L1+ individuals had comparable survival to PD‐L1− individuals, except ICI treatment for which PD‐L1+ may predict better PFS (HR = 0.42, 95% CI 0.17–1.06, p = 0.067). Patients with PD‐L1+ CTCs had worse survival prognosis compared to those without PD‐L1+ CTCs in overall analysis (PFS: HR = 2.10, 95% CI 1.59–2.77, p < 0.001; OS: HR = 2.55, 95% CI 1.70–3.81, p < 0.001) and in most subgroups. Conclusions Our analysis demonstrated that PD‐L1 positive expression on CTCs predicted better survival prognosis for ICI treatment but worse survival for other therapies, which thus can be potentially used as a prognostic marker of malignant tumor treatment. However, the prognostic value of PD‐L1+ CTCs for ICI treatment needs validation by more large‐scale studies in the future.
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Affiliation(s)
- Yushu Ouyang
- Department of Intervention, The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Wendao Liu
- Department of Intervention, The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Ningning Zhang
- Department of Oncology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, China
| | - Xiaobing Yang
- Department of Oncology, The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Jinwei Li
- Department of Intervention, The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Shunqin Long
- Department of Oncology, The Second Clinical Medical College of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
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15
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Kong D, Zhang W, Yang Z, Li G, Cheng S, Zhang K, Feng L. Correlation between PD-L1 expression ON CTCs and prognosis of patients with cancer: a systematic review and meta-analysis. Oncoimmunology 2021; 10:1938476. [PMID: 34211802 PMCID: PMC8218685 DOI: 10.1080/2162402x.2021.1938476] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Circulating tumor cells (CTCs) are considered to be related to the prognosis of cancer patients. CTC is a powerful indicator for recurrence or metastasis. The relationship, however, between the expression of programmed cell death receptor ligand 1 (PD-L1) on CTCs in peripheral blood and the prognosis, is still controversial. Here, we conducted a meta-analysis to evaluate its prognostic value. A total of 20 articles were screened from PubMed, Embase, Cochrane, China National Knowledge Internet (CNKI) and WanFang Database, and the Hazard Ratio (HR) along with 95% confidence intervals (CIs) of each article were combined to study the relationship between PD-L1 expression on CTCs and prognosis. The expression of PD-L1 on CTCs in the peripheral blood of cancer patients is associated with poor prognosis. The pooled HRs for overall survival (OS) in cancer patients were 1.85 (95% CI, 1.29-2.66, P = .001). The pooled HRs for progression-free survival (PFS) in cancer patients were 1.50 (95% CI, 1.12-2.01; P = .007). This is the first meta-analysis to clarify the expression of PD-L1 on CTCs at baseline affects the prognosis of cancer patients. Patients with CTCs expressing PD-L1 had a shorter survival time than patients with CTCs not expressing PD-L1.
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Affiliation(s)
- Defeng Kong
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Wen Zhang
- Department of Immunology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Zhenrong Yang
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Guoliang Li
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Shujun Cheng
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Kaitai Zhang
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - Lin Feng
- State Key Laboratory of Molecular Oncology, Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
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16
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Mao CG, Jiang SS, Wang XY, Tao SL, Jiang B, Mao CY, Yang YL, Hu ZY, Long T, Jin H, Tan QY, Huang Y, Deng B. BCAR1 plays critical roles in the formation and immunoevasion of invasive circulating tumor cells in lung adenocarcinoma. Int J Biol Sci 2021; 17:2461-2475. [PMID: 34326687 PMCID: PMC8315020 DOI: 10.7150/ijbs.61790] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Accepted: 06/02/2021] [Indexed: 12/24/2022] Open
Abstract
Background: We investigated the roles of breast cancer anti-estrogen resistance 1 (BCAR1/p130Cas) in the formation and immunoevasion of invasive circulating tumor cells (CTCs) in lung adenocarcinoma (LUAD). Methods: Biomarkers of CTCs including BCAR1 and CD274, were evaluated by the CanPatrol method. Proteomics analysis of LUAD cells and exosomes after BCAR1 overexpression (BCAR1-OE) was performed by mass spectrometry. Cell functions and relevant signaling pathways were investigated after BCAR1 knockdown (BCAR1-KO) or BCAR1-OE in LUAD cells. Lastly, in vitro and in vivo experiments were performed to confirm the roles of BCAR1 in the formation and immunoevasion of CTCs. Results: High expression of BCAR1 by CTCs correlated with CD274 expression and epithelial-to-mesenchymal transition (EMT). RAC1, together with BCAR1, was found to play an important role in the carcinogenesis of LUAD. RAC1 functioned with BCAR1 to induce EMT and to enhance cell proliferation, colony formation, cell invasion and migration, and anoikis resistance in LUAD cells. BCAR1 up-regulated CD274 expression probably by shuttling the short isoform of BRD4 (BRD4-S) into the nucleus. CTCs, as well as tumor formation, were prohibited in nude mice xenografted with BCAR1-KO cells. The co-expression of BCAR1/RAC1 and BCAR1/CD274 was confirmed in LUAD. BCAR1 expression in LUAD is an indicator of poor prognosis, and it associates with immunoevasion. Conclusion: BCAR1, as a new target for the treatment of LUAD, plays roles in the formation and immunoevasion of invasive CTCs. The mechanism includes triggering EMT via RAC1 signaling and up-regulating CD274 expression by shuttling BRD4-S into the nucleus.
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Affiliation(s)
- Chun-Guo Mao
- Thoracic Surgery Department, Institute of Surgery Research, Daping Hospital, Army Medical University, Chongqing 400042, China
| | - Sha-sha Jiang
- Thoracic Surgery Department, Institute of Surgery Research, Daping Hospital, Army Medical University, Chongqing 400042, China
| | - Xiao-yang Wang
- Biomedical Analysis Center, Army Medical University, Chongqing 400038, China
| | - Shao-Lin Tao
- Thoracic Surgery Department, Institute of Surgery Research, Daping Hospital, Army Medical University, Chongqing 400042, China
| | - Bin Jiang
- Thoracic Surgery Department, Institute of Surgery Research, Daping Hospital, Army Medical University, Chongqing 400042, China
| | - Cheng-Yi Mao
- Department of Pathology, Daping Hospital, Army Medical University, Chongqing 400042, China
| | - Yan-Lian Yang
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China
| | - Zhi-Yuan Hu
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China
- School of Nanoscience and Technology, Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Tan Long
- Thoracic Surgery Department, Institute of Surgery Research, Daping Hospital, Army Medical University, Chongqing 400042, China
| | - Hua Jin
- Thoracic Surgery Department, Institute of Surgery Research, Daping Hospital, Army Medical University, Chongqing 400042, China
| | - Qun-You Tan
- Thoracic Surgery Department, Institute of Surgery Research, Daping Hospital, Army Medical University, Chongqing 400042, China
| | - Yi Huang
- Biomedical Analysis Center, Army Medical University, Chongqing 400038, China
| | - Bo Deng
- Thoracic Surgery Department, Institute of Surgery Research, Daping Hospital, Army Medical University, Chongqing 400042, China
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17
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Clinical Relevance of Mesenchymal- and Stem-Associated Phenotypes in Circulating Tumor Cells Isolated from Lung Cancer Patients. Cancers (Basel) 2021; 13:cancers13092158. [PMID: 33947159 PMCID: PMC8124761 DOI: 10.3390/cancers13092158] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 04/16/2021] [Accepted: 04/27/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary Lung cancer is the most frequent malignancy in the world. Most lung cancer patients are diagnosed at an advanced stage. To make matters worse, the survival of patients is very poor. Circulating tumor cells (CTCs), albeit rare, have been portrayed as essential players in the progression of lung cancer. It is definitely not easy being a CTC. First, they escape from the primary tumor, then they travel in the bloodstream, have to survive really harsh conditions, and finally, they form metastases. The adoption of epithelial-to-mesenchymal transition as well as cancer stem cell features has been suggested to allow CTCs to survive and metastasize. This review will focus on how these features can be used to estimate the prognosis of lung cancer patients. Abstract Lung cancer is the leading cause of cancer-related mortality globally. Among the types of lung cancer, non-small-cell lung cancer (NSCLC) is more common, while small-cell lung cancer (SCLC) is less frequent yet more aggressive. Circulating tumor cells (CTCs), albeit rare, have been portrayed as essential players in the progression of lung cancer. CTCs are considered to adopt an epithelial-to-mesenchymal transition (EMT) phenotype and characteristics of cancer stem cells (CSCs). This EMT (or partial) phenotype affords these cells the ability to escape from the primary tumor, travel into the bloodstream, and survive extremely adverse conditions, before colonizing distant foci. Acquisition of CSC features, such as self-renewal, differentiation, and migratory potential, further reflect CTCs’ invasive potential. CSCs have been identified in lung cancer, and expression of EMT markers has previously been correlated with poor clinical outcomes. Thus far, a vast majority of studies have concentrated on CTC detection and enumeration as a prognostic tools of patients’ survival or for monitoring treatment efficacy. In this review, we highlight EMT and CSC markers in CTCs and focus on the clinical significance of these phenotypes in the progression of both non-small- and small-cell lung cancer.
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18
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Badia-Ramentol J, Linares J, Gómez-Llonin A, Calon A. Minimal Residual Disease, Metastasis and Immunity. Biomolecules 2021; 11:130. [PMID: 33498251 PMCID: PMC7909268 DOI: 10.3390/biom11020130] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 01/12/2021] [Accepted: 01/13/2021] [Indexed: 12/11/2022] Open
Abstract
Progression from localized to metastatic disease requires cancer cells spreading to distant organs through the bloodstream. Only a small proportion of these circulating tumor cells (CTCs) survives dissemination due to anoikis, shear forces and elimination by the immune system. However, all metastases originate from CTCs capable of surviving and extravasating into distant tissue to re-initiate a tumor. Metastasis initiation is not always immediate as disseminated tumor cells (DTCs) may enter a non-dividing state of cell dormancy. Cancer dormancy is a reversible condition that can be maintained for many years without being clinically detectable. Subsequently, late disease relapses are thought to be due to cancer cells ultimately escaping from dormant state. Cancer dormancy is usually associated with minimal residual disease (MRD), where DTCs persist after intended curative therapy. Thus, MRD is commonly regarded as an indicator of poor prognosis in all cancers. In this review, we examine the current understanding of MRD and immunity during cancer progression to metastasis and discuss clinical perspectives for oncology.
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Affiliation(s)
| | | | | | - Alexandre Calon
- Cancer Research Program, Hospital del Mar Medical Research Institute (IMIM), 08003 Barcelona, Spain; (J.B.-R.); (J.L.); (A.G.-L.)
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19
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Pan Y, Li D, Yang J, Wang N, Xiao E, Tao L, Ding X, Sun P, Li D. Portal Venous Circulating Tumor Cells Undergoing Epithelial-Mesenchymal Transition Exhibit Distinct Clinical Significance in Pancreatic Ductal Adenocarcinoma. Front Oncol 2021; 11:757307. [PMID: 34778073 PMCID: PMC8582019 DOI: 10.3389/fonc.2021.757307] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 10/05/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Much importance is attached to the clinical application value of circulating tumor cells (CTCs), meanwhile tumor-proximal CTCs detection has interested researchers for its unique advantage. This research mainly discusses the correlation of portal venous (PoV) CTCs counts in different epithelial-mesenchymal transition status with clinicopathologic parameters and postoperative prognosis in resectable pancreatic ductal adenocarcinoma patients (PDAC). METHODS PDAC patients (n=60) who received radical resection were enrolled in this research. PoV samples from all patients and peripheral venous (PV) samples from 32 patients among them were collected to verify spatial heterogeneity of CTCs distribution, and explore their correlation with clinicopathologic parameters and clinical prognosis. RESULTS CTCs detectable rate and each phenotype count of PoV were higher than those of PV. Patients with recurrence had higher PV and PoV epithelial CTCs (E-CTCs) counts than recurrence-free patients (P<0.05). Some unfavourable clinicopathologic parameters were closely related to higher PoV CTCs counts. Multivariate regression analysis demonstrated that PoV mesenchymal CTC (M-CTC)s≥1/5 ml was an independent risk factor for metastasis free survival (MFS) (P=0.003) and overall survival (OS) (P=0.043). CONCLUSIONS Our research demonstrated that portal venous was a preferable vessel for CTC test, and patients with PoV M-CTC≥1/5 ml had shorter MFS and OS time in resectable PDAC patients. PoV CTC phenotype detection has the potential to be a reliable and accurate tool to identify resectable PDAC patients with high tendency of postoperative metastasis for better stratified management.
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Affiliation(s)
- Yujin Pan
- Department of Hepatobiliary Pancreatic Surgery, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
- Zhengzhou Key Laboratory of Minimally Invasive Treatment for Liver Cancer, Henan Provincial People's Hospital, Zhengzhou, China
- Henan Provincial Key Laboratory of Hepatobiliary and Pancreatic Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Deyu Li
- Department of Hepatobiliary Pancreatic Surgery, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
- Zhengzhou Key Laboratory of Minimally Invasive Treatment for Liver Cancer, Henan Provincial People's Hospital, Zhengzhou, China
- Henan Provincial Key Laboratory of Hepatobiliary and Pancreatic Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Jiuhui Yang
- Department of Hepatobiliary Pancreatic Surgery, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
- Zhengzhou Key Laboratory of Minimally Invasive Treatment for Liver Cancer, Henan Provincial People's Hospital, Zhengzhou, China
- Henan Provincial Key Laboratory of Hepatobiliary and Pancreatic Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Ning Wang
- Department of Hepatobiliary Pancreatic Surgery, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
- Zhengzhou Key Laboratory of Minimally Invasive Treatment for Liver Cancer, Henan Provincial People's Hospital, Zhengzhou, China
- Henan Provincial Key Laboratory of Hepatobiliary and Pancreatic Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Erwei Xiao
- Department of Hepatobiliary Pancreatic Surgery, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
- Zhengzhou Key Laboratory of Minimally Invasive Treatment for Liver Cancer, Henan Provincial People's Hospital, Zhengzhou, China
- Henan Provincial Key Laboratory of Hepatobiliary and Pancreatic Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Lianyuan Tao
- Department of Hepatobiliary Pancreatic Surgery, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
- Zhengzhou Key Laboratory of Minimally Invasive Treatment for Liver Cancer, Henan Provincial People's Hospital, Zhengzhou, China
- Henan Provincial Key Laboratory of Hepatobiliary and Pancreatic Diseases, Henan Provincial People's Hospital, Zhengzhou, China
| | - Xiangming Ding
- Zhengzhou Key Laboratory of Minimally Invasive Treatment for Liver Cancer, Henan Provincial People's Hospital, Zhengzhou, China
- Henan Provincial Key Laboratory of Hepatobiliary and Pancreatic Diseases, Henan Provincial People's Hospital, Zhengzhou, China
- Department of Gastroenterology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Peichun Sun
- Zhengzhou Key Laboratory of Minimally Invasive Treatment for Liver Cancer, Henan Provincial People's Hospital, Zhengzhou, China
- Henan Provincial Key Laboratory of Hepatobiliary and Pancreatic Diseases, Henan Provincial People's Hospital, Zhengzhou, China
- Department of Gastrointestinal Surgery, Henan Provincial People's Hospital Zhengzhou, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Dongxiao Li
- Zhengzhou Key Laboratory of Minimally Invasive Treatment for Liver Cancer, Henan Provincial People's Hospital, Zhengzhou, China
- Henan Provincial Key Laboratory of Hepatobiliary and Pancreatic Diseases, Henan Provincial People's Hospital, Zhengzhou, China
- Department of Gastroenterology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
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Jiang S, Mao C, Jiang B, Tan Q, Deng B. High Expression of BCAR1 by Circulating Tumor Cells and Tumor Tissues Is Predictive of a Poor Prognosis of Early-Stage Lung Adenocarcinoma Potentially Due to Regulation of Epithelial-Mesenchymal Transition. Technol Cancer Res Treat 2020; 19:1533033820983086. [PMID: 33334252 PMCID: PMC7758864 DOI: 10.1177/1533033820983086] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVE To clarify the clinical significance of breast cancer anti-estrogen resistance protein 1 (BCAR1) expression in circulating tumor cells (CTCs) in the peripheral blood and tumor tissues in patients with early stage lung adenocarcinoma (ES-LUAD). METHODS The study cohort included 60 patients with stage I LUAD (50 IA and 10 IB) who underwent surgery from November 2015 to November 2018 and 31 healthy controls. The expression levels of BCAR1 and markers of epithelial-mesenchymal transition (EMT) in peripheral blood CTCs were detected using CanPatrolTM technology before surgery, and immunohistochemical analysis was used to detect BCAR1 expression in tumor tissues collected from 40 patients. The predictive power of BCAR1 expression in CTCs and tumor tissues on disease-free survival (DFS) was analyzed. The Cancer Genome Atlas (TCGA) database was used to study BCAR1 expression and overall survival as validation. The Gene Expression Profiling Interactive Analysis online tool was used to analyze the correlations between the expression levels of BCAR1 and EMT molecular markers. RESULTS Both the number and detection rates of BCAR1-negative CTCs and BCAR1-positive CTCs in peripheral blood of lung cancer patients were significantly higher as compared with healthy controls (p < 0.05). BCAR1-positive CTCs more commonly co-expressed both epithelial and mesenchymal markers. Kaplan-Meier analysis demonstrated that patients with BCAR1(++) CTCs in peripheral blood before surgery were more prone to recurrence or metastasis after 2 years. COX analysis showed that patients with higher abundance of BCAR1(++) CTCs had a poorer prognosis (hazard ratio [HR] = 1.712, 95% confidence interval [CI] = 1.077-2.272, p = 0.023). Furthermore, high BCAR1 expression in tumor tissues was predictive of a poor prognosis (HR = 2.654, 95% CI = 1.239-5.686, p = 0.012), as validated by TCGA database (HR = 2.217, 95% CI = 1.069-4.595, p = 0.032). In addition, BCAR1 expression in LUAD tissues from TCGA was significantly positively correlated with the expression of both epithelial markers (e.g., ck8/18/19) and mesenchymal markers (e.g., vimentin and twist). CONCLUSION BCAR1 may have a "dual impact" on EMT markers in tumor tissues and CTCs due to micro-environmental disparities, resulting in important clinical significance, which can potentially guide accurate treatment of LUAD.
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Affiliation(s)
- Shasha Jiang
- Department of Thoracic Surgery, Daping Hospital, Army Medical University, Chongqing City, China
| | - Chunguo Mao
- Department of Thoracic Surgery, Daping Hospital, Army Medical University, Chongqing City, China
| | - Bin Jiang
- Department of Thoracic Surgery, Daping Hospital, Army Medical University, Chongqing City, China
| | - Qunyou Tan
- Department of Thoracic Surgery, Daping Hospital, Army Medical University, Chongqing City, China
| | - Bo Deng
- Department of Thoracic Surgery, Daping Hospital, Army Medical University, Chongqing City, China
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21
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Sun P, Yang S, Cao Y, Cheng R, Han S. Prediction of Potential Associations Between miRNAs and Diseases Based on Matrix Decomposition. Front Genet 2020; 11:598185. [PMID: 33304393 PMCID: PMC7701300 DOI: 10.3389/fgene.2020.598185] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 10/22/2020] [Indexed: 01/06/2023] Open
Abstract
It is known that miRNA plays an increasingly important role in many physiological processes. Disease-related miRNAs could be potential biomarkers for clinical diagnosis, prognosis, and treatment. Therefore, accurately inferring potential miRNAs related to diseases has become a hot topic in the bioinformatics community recently. In this study, we proposed a mathematical model based on matrix decomposition, named MFMDA, to identify potential miRNA-disease associations by integrating known miRNA and disease-related data, similarities between miRNAs and between diseases. We also compared MFMDA with some of the latest algorithms in several established miRNA disease databases. MFMDA reached an AUC of 0.9061 in the fivefold cross-validation. The experimental results show that MFMDA effectively infers novel miRNA-disease associations. In addition, we conducted case studies by applying MFMDA to three types of high-risk human cancers. While most predicted miRNAs are confirmed by external databases of experimental literature, we also identified a few novel disease-related miRNAs for further experimental validation.
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Affiliation(s)
- Pengcheng Sun
- Department of Obstetrics and Gynecology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Shuyan Yang
- Department of Obstetrics and Gynecology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ye Cao
- Department of Obstetrics and Gynecology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Rongjie Cheng
- Department of Obstetrics and Gynecology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Shiyu Han
- Department of Obstetrics and Gynecology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
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22
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He B, Lu Q, Lang J, Yu H, Peng C, Bing P, Li S, Zhou Q, Liang Y, Tian G. A New Method for CTC Images Recognition Based on Machine Learning. Front Bioeng Biotechnol 2020; 8:897. [PMID: 32850745 PMCID: PMC7423836 DOI: 10.3389/fbioe.2020.00897] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 07/13/2020] [Indexed: 12/18/2022] Open
Abstract
Circulating tumor cells (CTCs) derived from primary tumors and/or metastatic tumors are markers for tumor prognosis, and can also be used to monitor therapeutic efficacy and tumor recurrence. Circulating tumor cells enrichment and screening can be automated, but the final counting of CTCs currently requires manual intervention. This not only requires the participation of experienced pathologists, but also easily causes artificial misjudgment. Medical image recognition based on machine learning can effectively reduce the workload and improve the level of automation. So, we use machine learning to identify CTCs. First, we collected the CTC test results of 600 patients. After immunofluorescence staining, each picture presented a positive CTC cell nucleus and several negative controls. The images of CTCs were then segmented by image denoising, image filtering, edge detection, image expansion and contraction techniques using python’s openCV scheme. Subsequently, traditional image recognition methods and machine learning were used to identify CTCs. Machine learning algorithms are implemented using convolutional neural network deep learning networks for training. We took 2300 cells from 600 patients for training and testing. About 1300 cells were used for training and the others were used for testing. The sensitivity and specificity of recognition reached 90.3 and 91.3%, respectively. We will further revise our models, hoping to achieve a higher sensitivity and specificity.
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Affiliation(s)
- Binsheng He
- Academician Workstation, Changsha Medical University, Changsha, China
| | - Qingqing Lu
- Geneis (Beijing) Co., Ltd., Beijing, China.,Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, China
| | - Jidong Lang
- Geneis (Beijing) Co., Ltd., Beijing, China.,Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, China
| | - Hai Yu
- Geneis (Beijing) Co., Ltd., Beijing, China
| | - Chao Peng
- Geneis (Beijing) Co., Ltd., Beijing, China
| | - Pingping Bing
- Academician Workstation, Changsha Medical University, Changsha, China
| | - Shijun Li
- Department of Pathology, Chifeng Municipal Hospital, Chifeng, China
| | - Qiliang Zhou
- Academician Workstation, Changsha Medical University, Changsha, China
| | - Yuebin Liang
- Geneis (Beijing) Co., Ltd., Beijing, China.,Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, China
| | - Geng Tian
- Geneis (Beijing) Co., Ltd., Beijing, China.,Qingdao Geneis Institute of Big Data Mining and Precision Medicine, Qingdao, China
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EMT-Associated Heterogeneity in Circulating Tumor Cells: Sticky Friends on the Road to Metastasis. Cancers (Basel) 2020; 12:cancers12061632. [PMID: 32575608 PMCID: PMC7352430 DOI: 10.3390/cancers12061632] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 06/11/2020] [Accepted: 06/17/2020] [Indexed: 02/06/2023] Open
Abstract
Epithelial–mesenchymal transitions (EMTs) generate hybrid phenotypes with an enhanced ability to adapt to diverse microenvironments encountered during the metastatic spread. Accordingly, EMTs play a crucial role in the biology of circulating tumor cells (CTCs) and contribute to their heterogeneity. Here, we review major EMT-driven properties that may help hybrid Epithelial/Mesenchymal CTCs to survive in the bloodstream and accomplish early phases of metastatic colonization. We then discuss how interrogating EMT in CTCs as a companion biomarker could help refine cancer patient management, further supporting the relevance of CTCs in personalized medicine.
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24
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The Use of Three-Dimensional DNA Fluorescent In Situ Hybridization (3D DNA FISH) for the Detection of Anaplastic Lymphoma Kinase (ALK) in Non-Small Cell Lung Cancer (NSCLC) Circulating Tumor Cells. Cells 2020; 9:cells9061465. [PMID: 32549278 PMCID: PMC7349512 DOI: 10.3390/cells9061465] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 06/02/2020] [Accepted: 06/11/2020] [Indexed: 12/15/2022] Open
Abstract
Tumor tissue biopsy is often limited for non-small cell lung cancer (NSCLC) patients and alternative sources of tumoral information are desirable to determine molecular alterations such as anaplastic lymphoma kinase (ALK) rearrangements. Circulating tumor cells (CTCs) are an appealing component of liquid biopsies, which can be sampled serially over the course of treatment. In this study, we enrolled a cohort of ALK-positive (n = 8) and ALK-negative (n = 12) NSCLC patients, enriched for CTCs using spiral microfluidic technology and performed DNA fluorescent in situ hybridization (FISH) for ALK. CTCs were identified in 12/20 NSCLC patients ranging from 1 to 26 CTCs/7.5 mL blood. Our study revealed that 3D imaging of CTCs for ALK translocations captured a well-defined separation of 3′ and 5′ signals indicative of ALK translocations and overlapping 3′/5′ signal was easily resolved by imaging through the nuclear volume. This study provides proof-of-principle for the use of 3D DNA FISH in the determination of CTC ALK translocations in NSCLC.
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