Circulating tumour cells as prognosis predictive markers of neoadjuvant chemotherapy-treated breast cancer patients

Cui, Zhaoqing; Su, Fengbo; Li, Yang; Yang, Dawei

doi:10.1080/1120009x.2020.1774207

Cited by 5 publications

(7 citation statements)

References 34 publications

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“…It has been reported that the area under receiver operating characteristic (ROC) curve for CTC count in forecast of distant metastasis was 0.783 [167]. CTC detection is a potential novel approach to assess the efficacy of neoadjuvant chemotherapy (NAC) [168]. Indeed, the results of studies published in the past 5 years, involving thousands of patients with breast cancer, have demonstrated that the CTC counts before and after neoadjuvant therapy are predictive of the risk of disease relapse [134].…”

Section: Studies Based On Ctc Countmentioning

confidence: 99%

Detection of circulating tumor cells: opportunities and challenges

Chen

Zhang

et al. 2022

Biomark Res

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Circulating tumor cells (CTCs) are cells that shed from a primary tumor and travel through the bloodstream. Studying the functional and molecular characteristics of CTCs may provide in-depth knowledge regarding highly lethal tumor diseases. Researchers are working to design devices and develop analytical methods that can capture and detect CTCs in whole blood from cancer patients with improved sensitivity and specificity. Techniques using whole blood samples utilize physical prosperity, immunoaffinity or a combination of the above methods and positive and negative enrichment during separation. Further analysis of CTCs is helpful in cancer monitoring, efficacy evaluation and designing of targeted cancer treatment methods. Although many advances have been achieved in the detection and molecular characterization of CTCs, several challenges still exist that limit the current use of this burgeoning diagnostic approach. In this review, a brief summary of the biological characterization of CTCs is presented. We focus on the current existing CTC detection methods and the potential clinical implications and challenges of CTCs. We also put forward our own views regarding the future development direction of CTCs.

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Section: Studies Based On Ctc Countmentioning

confidence: 99%

Detection of circulating tumor cells: opportunities and challenges

Chen

Zhang

et al. 2022

Biomark Res

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“…In medical image analysis, detection aims to locate areas of interest in tissue slices [28][29][30][31][32][33][34][35][36][37][38][39][40].…”

Section: Detection Of Breast Lesionsmentioning

confidence: 99%

Application of Deep Learning in Histopathology Images of Breast Cancer: A Review

Zhao

Zhang

et al. 2022

Micromachines

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With the development of artificial intelligence technology and computer hardware functions, deep learning algorithms have become a powerful auxiliary tool for medical image analysis. This study was an attempt to use statistical methods to analyze studies related to the detection, segmentation, and classification of breast cancer in pathological images. After an analysis of 107 articles on the application of deep learning to pathological images of breast cancer, this study is divided into three directions based on the types of results they report: detection, segmentation, and classification. We introduced and analyzed models that performed well in these three directions and summarized the related work from recent years. Based on the results obtained, the significant ability of deep learning in the application of breast cancer pathological images can be recognized. Furthermore, in the classification and detection of pathological images of breast cancer, the accuracy of deep learning algorithms has surpassed that of pathologists in certain circumstances. Our study provides a comprehensive review of the development of breast cancer pathological imaging-related research and provides reliable recommendations for the structure of deep learning network models in different application scenarios.

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“…CTCs from cancer patients can be considered as a type of “liquid biopsy” that provides real-time information about the status of cancer. CTCs have been accepted as a prognostic biomarker for monitoring breast cancer, prostate cancer, and colorectal cancer. ,− …”

Section: Circulating Tumor Cellsmentioning

confidence: 99%

“…Circulating tumor cells (CTCs) are tumor cells that shed from solid tumor lesions spontaneously or during diagnostic procedures. − After they enter the peripheral blood, most CTCs are apoptotic or engulfed, and very few CTCs can escape and develop into metastases, increasing the risk of death of patients with malignant tumors. Many studies have shown that these emergences of CTCs are closely related to the prognosis of patients with advanced cancer. , Most strategies from CTC analysis technologies involve isolating CTCs from body fluids and then analyzing the isolated tumor cells. − However, the number of CTCs in the blood is quite low, and sorting as an important pretreatment step for CTC detection and analysis is indispensable. Traditional macroscopic methods, such as red blood cell (RBC) lysis and centrifugal separation, can also achieve cell separation.…”

Section: Introductionmentioning

confidence: 99%

“…Many studies have shown that these emergences of CTCs are closely related to the prognosis of patients with advanced cancer. 6,7 Most strategies from CTC analysis technologies involve isolating CTCs from body fluids and then analyzing the isolated tumor cells. 8−10 However, the number of CTCs in the blood is quite low, and sorting as an important pretreatment step for CTC detection and analysis is indispensable.…”

Section: ■ Introductionmentioning

confidence: 99%

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Sorting Technology for Circulating Tumor Cells Based on Microfluidics

Liu

Tian

et al. 2020

ACS Comb. Sci.

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Circulating tumor cells (CTCs) carry reliable clinical information for the diagnosis and treatment of cancer that is a malignant disease with a high mortality rate. However, the amount of CTCs in the blood is quite low. To obtain credible clinical information, an efficient method of extracting CTCs is necessary. Microfluidic technology has proven its effectiveness on CTCs separation in recent years. Here, we present a comprehensive review of CTC sorting methods based on microfluidics. Specifically, we introduce four different microfluidic sorting methods of CTCs and compare their advantages and disadvantages. Finally, we summarize the analysis of CTCs based on microfluidics and present a prospective view of future research.

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Circulating tumour cells as prognosis predictive markers of neoadjuvant chemotherapy-treated breast cancer patients

Cited by 5 publications

References 34 publications

Detection of circulating tumor cells: opportunities and challenges

Detection of circulating tumor cells: opportunities and challenges

Application of Deep Learning in Histopathology Images of Breast Cancer: A Review

Sorting Technology for Circulating Tumor Cells Based on Microfluidics

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