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Calistri NL, Liby TA, Hu Z, Zhang H, Dane M, Gross SM, Heiser LM. TNBC response to paclitaxel phenocopies interferon response which reveals cell cycle-associated resistance mechanisms. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.04.596911. [PMID: 38895265 PMCID: PMC11185620 DOI: 10.1101/2024.06.04.596911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Paclitaxel is a standard of care neoadjuvant therapy for patients with triple negative breast cancer (TNBC); however, it shows limited benefit for locally advanced or metastatic disease. Here we used a coordinated experimental-computational approach to explore the influence of paclitaxel on the cellular and molecular responses of TNBC cells. We found that escalating doses of paclitaxel resulted in multinucleation, promotion of senescence, and initiation of DNA damage induced apoptosis. Single-cell RNA sequencing (scRNA-seq) of TNBC cells after paclitaxel treatment revealed upregulation of innate immune programs canonically associated with interferon response and downregulation of cell cycle progression programs. Systematic exploration of transcriptional responses to paclitaxel and cancer-associated microenvironmental factors revealed common gene programs induced by paclitaxel, IFNB, and IFNG. Transcription factor (TF) enrichment analysis identified 13 TFs that were both enriched based on activity of downstream targets and also significantly upregulated after paclitaxel treatment. Functional assessment with siRNA knockdown confirmed that the TFs FOSL1, NFE2L2 and ELF3 mediate cellular proliferation and also regulate nuclear structure. We further explored the influence of these TFs on paclitaxel-induced cell cycle behavior via live cell imaging, which revealed altered progression rates through G1, S/G2 and M phases. We found that ELF3 knockdown synergized with paclitaxel treatment to lock cells in a G1 state and prevent cell cycle progression. Analysis of publicly available breast cancer patient data showed that high ELF3 expression was associated with poor prognosis and enrichment programs associated with cell cycle progression. Together these analyses disentangle the diverse aspects of paclitaxel response and identify ELF3 upregulation as a putative biomarker of paclitaxel resistance in TNBC.
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Affiliation(s)
- Nicholas L Calistri
- Biomedical Engineering Department, Oregon Health & Science University, Portland Oregon
| | - Tiera A. Liby
- Biomedical Engineering Department, Oregon Health & Science University, Portland Oregon
| | - Zhi Hu
- Biomedical Engineering Department, Oregon Health & Science University, Portland Oregon
| | - Hongmei Zhang
- Biomedical Engineering Department, Oregon Health & Science University, Portland Oregon
| | - Mark Dane
- Biomedical Engineering Department, Oregon Health & Science University, Portland Oregon
| | - Sean M. Gross
- Biomedical Engineering Department, Oregon Health & Science University, Portland Oregon
| | - Laura M. Heiser
- Biomedical Engineering Department, Oregon Health & Science University, Portland Oregon
- Knight Cancer Institute, Oregon Health & Science University, Portland Oregon
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2
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Szostakowska-Rodzos M, Fabisiewicz A, Wakula M, Tabor S, Szafron L, Jagiello-Gruszfeld A, Grzybowska EA. Longitudinal analysis of circulating tumor cell numbers improves tracking metastatic breast cancer progression. Sci Rep 2024; 14:12924. [PMID: 38839863 PMCID: PMC11153567 DOI: 10.1038/s41598-024-63679-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 05/31/2024] [Indexed: 06/07/2024] Open
Abstract
Hormone-responsive breast cancer represents the most common type and has the best prognosis, but still approximately 40% of patients with this type can develop distant metastases, dramatically worsening the patient's survival. Monitoring metastatic breast cancer (mBC) for signs of progression is an important part of disease management. Circulating tumor cell (CTC) detection and molecular characteristics gain importance as a diagnostic tool, but do not represent a clinical standard and its value as a predictor of progression is not yet established. The main objective of this study was to estimate the prognostic value of not only the CTC numbers, but also the dynamics of the CTC numbers in the same patient during the continuous evaluation of CTCs in patients with advanced breast cancer. The other objective was to assess the molecular changes in CTCs compared to primary tumor samples by genetic analysis of the seven genes associated with estrogen signaling pathway, mutations in which are often responsible for the resistance to endocrine therapy, and subsequent progression. This approach was taken to evaluate if genetic analysis of CTCs can be used in tracking the resistance, signaling that hormonal therapy should be replaced. Consequently, this report presents the results of a longitudinal CTC study based on three subsequent blood collections from 135 patients with metastatic breast cancer, followed by molecular analysis of the isolated single CTCs. CTCs were detected and isolated using an image-based, EpCAM-independent system CytoTrack; this approach allowed evaluation of EpCAM expression in detected CTCs. Isolated CTCs were subjected to NGS analysis to assess mutational changes. The results confirm the importance of the status of the CTC for progression-free survival and overall survival and provide new data on the dynamics of the CTC during a long monitoring period and in relation to clinical progression, highlighting the advantage of constant monitoring over the single count of CTC. Furthermore, high genetic and phenotypic inter- and intrapatient heterogeneity observed in CTCs suggest that metastatic lesions are divergent. High genetic heterogeneity in the matching CTC/primary tumor samples may indicate early dissemination. The tendency towards the accumulation of activating/oncogenic mutation in CTCs, leading to anti-estrogen resistant disease, was not confirmed in this study.
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Affiliation(s)
| | - Anna Fabisiewicz
- Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Maciej Wakula
- Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Sylwia Tabor
- Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Lukasz Szafron
- Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | | | - Ewa Anna Grzybowska
- Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.
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3
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Li Y, Li P, Liu Y, Geng W. A novel gene-based model for prognosis prediction of head and neck squamous cell carcinoma. Heliyon 2024; 10:e29449. [PMID: 38660262 PMCID: PMC11040035 DOI: 10.1016/j.heliyon.2024.e29449] [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: 04/05/2024] [Accepted: 04/08/2024] [Indexed: 04/26/2024] Open
Abstract
Background Head and neck squamous cell carcinoma (HNSCC) is a significant global health challenge. The identification of reliable prognostic biomarkers and construction of an accurate prognostic model are crucial. Methods In this study, mRNA expression data and clinical data of HNSCC patients from The Cancer Genome Atlas were used. Overlapping candidate genes (OCGs) were identified by intersecting differentially expressed genes and prognosis-related genes. Best prognostic genes were selected using the least absolute shrinkage and selection operator Cox regression based on OCGs, and a risk score was developed using the Cox coefficient of each gene. The prognostic power of the risk score was assessed using Kaplan-Meier survival analysis and time-dependent receiver operating characteristic analysis. Univariate and multivariate Cox regression were performed to identify independent prognostic parameters, which were used to construct a nomogram. The predictive accuracy of the nomogram was evaluated using calibration plots. Functional enrichment analysis of risk score related genes was performed to explore the potential biological functions and pathways. External validation was conducted using data from the Gene Expression Omnibus and ArrayExpress databases. Results FADS3, TNFRSF12A, TJP3, and FUT6 were screened to be significantly related to prognosis in HNSCC patients. The risk score effectively stratified patients into high-risk group with poor overall survival (OS) and low-risk group with better OS. Risk score, age, clinical M stage and clinical N stage were regarded as independent prognostic parameters by Cox regression analysis and used to construct a nomogram. The nomogram performed well in 1-, 2-, 3-, 5- and 10-year survival predictions. Functional enrichment analysis suggested that tight junction was closely related to the cancer. In addition, the prognostic power of the risk score was validated by external datasets. Conclusions This study constructed a gene-based model integrating clinical prognostic parameters to accurately predict prognosis in HNSCC patients.
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Affiliation(s)
- Yanxi Li
- Department of Dental Implant Center, Beijing Stomatological Hospital, School of Stomatology, Capital Medical University, Beijing, 100050, China
| | - Peiran Li
- Department of Maxillofacial Surgery, Beijing Stomatological Hospital, School of Stomatology, Capital Medical University, Beijing, 100050, China
| | - Yuqi Liu
- Department of Dental Implant Center, Beijing Stomatological Hospital, School of Stomatology, Capital Medical University, Beijing, 100050, China
| | - Wei Geng
- Department of Dental Implant Center, Beijing Stomatological Hospital, School of Stomatology, Capital Medical University, Beijing, 100050, China
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4
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Zou J, Chen Q, He Y, Pan Y, Zhao H, Shi J, Wei Z, Yu S, Zhao Y, Han X, Lu Y, Chen W. Systematic optimization and evaluation of culture conditions for the construction of circulating tumor cell clusters using breast cancer cell lines. BMC Cancer 2024; 24:507. [PMID: 38654231 PMCID: PMC11036701 DOI: 10.1186/s12885-024-12214-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 04/02/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Circulating tumor cell (CTC) clusters play a critical role in carcinoma metastasis. However, the rarity of CTC clusters and the limitations of capture techniques have retarded the research progress. In vitro CTC clusters model can help to further understand the biological properties of CTC clusters and their clinical significance. Therefore, it is necessary to establish reliable in vitro methodological models to form CTC clusters whose biological characteristics are very similar to clinical CTC clusters. METHODS The assays of immunofluorescence, transmission electron microscopy, EdU incorporation, cell adhension and microfluidic chips were used. The experimental metastasis model in mice was used. RESULTS We systematically optimized the culture methods to form in vitro CTC clusters model, and more importantly, evaluated it with reference to the biological capabilities of reported clinical CTC clusters. In vitro CTC clusters exhibited a high degree of similarity to the reported pathological characteristics of CTC clusters isolated from patients at different stages of tumor metastasis, including the appearance morphology, size, adhesive and tight junctions-associated proteins, and other indicators of CTC clusters. Furthermore, in vivo experiments also demonstrated that the CTC clusters had an enhanced ability to grow and metastasize compared to single CTC. CONCLUSIONS The study provides a reliable model to help to obtain comparatively stable and qualified CTC clusters in vitro, propelling the studies on tumor metastasis.
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Affiliation(s)
- Jueyao Zou
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Qiong Chen
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Yong He
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Yanhong Pan
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine (TCM) Prevention and Treatment of Tumor, Nanjing, China
- Jiangsu Joint International Research Laboratory of Chinese Medicine and Regenerative Medicine, Nanjing, China
| | - Han Zhao
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Junfeng Shi
- Department of Oncology, Nanjing First Hospital of Nanjing Medical University, Nanjing, China
| | - Zhonghong Wei
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine (TCM) Prevention and Treatment of Tumor, Nanjing, China
- Jiangsu Joint International Research Laboratory of Chinese Medicine and Regenerative Medicine, Nanjing, China
| | - Suyun Yu
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine (TCM) Prevention and Treatment of Tumor, Nanjing, China
- Jiangsu Joint International Research Laboratory of Chinese Medicine and Regenerative Medicine, Nanjing, China
| | - Yang Zhao
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine (TCM) Prevention and Treatment of Tumor, Nanjing, China
- Jiangsu Joint International Research Laboratory of Chinese Medicine and Regenerative Medicine, Nanjing, China
| | - Xin Han
- Department of Biochemistry and Molecular Biology, School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing, China
| | - Yin Lu
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine (TCM) Prevention and Treatment of Tumor, Nanjing, China.
- Jiangsu Joint International Research Laboratory of Chinese Medicine and Regenerative Medicine, Nanjing, China.
| | - Wenxing Chen
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine (TCM) Prevention and Treatment of Tumor, Nanjing, China.
- Jiangsu Joint International Research Laboratory of Chinese Medicine and Regenerative Medicine, Nanjing, China.
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Bae SY, Kamalanathan KJ, Galeano-Garces C, Konety BR, Antonarakis ES, Parthasarathy J, Hong J, Drake JM. Dissemination of Circulating Tumor Cells in Breast and Prostate Cancer: Implications for Early Detection. Endocrinology 2024; 165:bqae022. [PMID: 38366552 PMCID: PMC10904107 DOI: 10.1210/endocr/bqae022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 02/08/2024] [Accepted: 02/13/2024] [Indexed: 02/18/2024]
Abstract
Burgeoning evidence suggests that circulating tumor cells (CTCs) may disseminate into blood vessels at an early stage, seeding metastases in various cancers such as breast and prostate cancer. Simultaneously, the early-stage CTCs that settle in metastatic sites [termed disseminated tumor cells (DTCs)] can enter dormancy, marking a potential source of late recurrence and therapy resistance. Thus, the presence of these early CTCs poses risks to patients but also holds potential benefits for early detection and treatment and opportunities for possibly curative interventions. This review delves into the role of early DTCs in driving latent metastasis within breast and prostate cancer, emphasizing the importance of early CTC detection in these diseases. We further explore the correlation between early CTC detection and poor prognoses, which contribute significantly to increased cancer mortality. Consequently, the detection of CTCs at an early stage emerges as a critical imperative for enhancing clinical diagnostics and allowing for early interventions.
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Affiliation(s)
| | | | | | - Badrinath R Konety
- Astrin Biosciences, St. Paul, MN 55114, USA
- Allina Health Cancer Institute, Minneapolis, MN 55407, USA
- Department of Urology, University of Minnesota, Minneapolis, MN 55454, USA
| | - Emmanuel S Antonarakis
- Department of Medicine, University of Minnesota, Minneapolis, MN 55455, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA
- Division of Hematology, Oncology and Transplantation, University of Minnesota, Minneapolis, MN 55455, USA
| | | | - Jiarong Hong
- Astrin Biosciences, St. Paul, MN 55114, USA
- Department of Mechanical Engineering and St. Anthony Falls Laboratory, University of Minnesota, Minneapolis, MN 55414, USA
| | - Justin M Drake
- Astrin Biosciences, St. Paul, MN 55114, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA
- Department of Pharmacology, University of Minnesota, Minneapolis, MN 55455, USA
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6
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Zhan Q, Liu B, Situ X, Luo Y, Fu T, Wang Y, Xie Z, Ren L, Zhu Y, He W, Ke Z. New insights into the correlations between circulating tumor cells and target organ metastasis. Signal Transduct Target Ther 2023; 8:465. [PMID: 38129401 PMCID: PMC10739776 DOI: 10.1038/s41392-023-01725-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 12/07/2023] [Accepted: 12/08/2023] [Indexed: 12/23/2023] Open
Abstract
Organ-specific metastasis is the primary cause of cancer patient death. The distant metastasis of tumor cells to specific organs depends on both the intrinsic characteristics of the tumor cells and extrinsic factors in their microenvironment. During an intermediate stage of metastasis, circulating tumor cells (CTCs) are released into the bloodstream from primary and metastatic tumors. CTCs harboring aggressive or metastatic features can extravasate to remote sites for continuous colonizing growth, leading to further lesions. In the past decade, numerous studies demonstrated that CTCs exhibited huge clinical value including predicting distant metastasis, assessing prognosis and monitoring treatment response et al. Furthermore, increasingly numerous experiments are dedicated to identifying the key molecules on or inside CTCs and exploring how they mediate CTC-related organ-specific metastasis. Based on the above molecules, more and more inhibitors are being developed to target CTCs and being utilized to completely clean CTCs, which should provide promising prospects to administer advanced tumor. Recently, the application of various nanomaterials and microfluidic technologies in CTCs enrichment technology has assisted to improve our deep insights into the phenotypic characteristics and biological functions of CTCs as a potential therapy target, which may pave the way for us to make practical clinical strategies. In the present review, we mainly focus on the role of CTCs being involved in targeted organ metastasis, especially the latest molecular mechanism research and clinical intervention strategies related to CTCs.
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Affiliation(s)
- Qinru Zhan
- Department of Pathology, The First Affiliated Hospital of Sun Yat-sen University, 510000, Guangzhou, Guangdong, P.R. China
| | - Bixia Liu
- Department of Pathology, The First Affiliated Hospital of Sun Yat-sen University, 510000, Guangzhou, Guangdong, P.R. China
| | - Xiaohua Situ
- Department of Pathology, The First Affiliated Hospital of Sun Yat-sen University, 510000, Guangzhou, Guangdong, P.R. China
| | - Yuting Luo
- Department of Pathology, The First Affiliated Hospital of Sun Yat-sen University, 510000, Guangzhou, Guangdong, P.R. China
| | - Tongze Fu
- Department of Pathology, The First Affiliated Hospital of Sun Yat-sen University, 510000, Guangzhou, Guangdong, P.R. China
- Institute of Precision Medicine, The First Affiliated Hospital of Sun Yat-sen University, 510000, Guangzhou, Guangdong, P.R. China
| | - Yanxia Wang
- Zhongshan School of Medicine, Sun Yat-sen University, 510000, Guangzhou, Guangdong, P.R. China
| | - Zhongpeng Xie
- Zhongshan School of Medicine, Sun Yat-sen University, 510000, Guangzhou, Guangdong, P.R. China
| | - Lijuan Ren
- Department of Pathology, The First Affiliated Hospital of Sun Yat-sen University, 510000, Guangzhou, Guangdong, P.R. China
| | - Ying Zhu
- Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, 510000, Guangzhou, Guangdong, P.R. China.
| | - Weiling He
- Department of Microbiology and Immunology, Weill Cornell Medicine, New York, NY, 10065, USA.
- School of Medicine, Xiang'an Hospital of Xiamen University, Xiamen University, 361000, Xiamen, Fujian, P.R. China.
| | - Zunfu Ke
- Department of Pathology, The First Affiliated Hospital of Sun Yat-sen University, 510000, Guangzhou, Guangdong, P.R. China.
- Institute of Precision Medicine, The First Affiliated Hospital of Sun Yat-sen University, 510000, Guangzhou, Guangdong, P.R. China.
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7
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Zu L, He J, Zhou N, Tang Q, Liang M, Xu S. Identification of multiple organ metastasis-associated hub mRNA/miRNA signatures in non-small cell lung cancer. Cell Death Dis 2023; 14:798. [PMID: 38057344 PMCID: PMC10700602 DOI: 10.1038/s41419-023-06286-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 10/27/2023] [Accepted: 11/07/2023] [Indexed: 12/08/2023]
Abstract
Metastasis remains major cause of treatment failure in non-small cell lung cancer (NSCLC). A comprehensive characterization of the transcriptomic landscape of NSCLC-cells with organ-specific metastatic potentials would advance our understanding of NSCLC metastasis process. In this study, we established NSCLC bone-metastatic (BoM), brain-metastatic (BrM), and lymph-metastatic (LnM) cells by an in vivo spontaneous metastatic model. Subsequently, by analyzing the entire transcriptomic profiles of BoM, BrM, LnM, LuM, in comparison with their parental cell line L9981, we identified miR-660-5p as a key driver that is associated with NSCLC progression and distant metastasis, potentially through its targeting of LIMCH1, SMARCA5 and TPP2. In addition, a six-gene signature (ADRB2, DPYSL2, IL7R, LIMCH1, PIK3R1, and SOX2) was subsequently established to predict NSCLC metastasis based on differentially expressed genes, three of which (DPYSL2, PIK3R1, LIMCH1) along with the transcriptional factors RB1 and TP63, were ultimately validated by experiments. Taken together, aberrant gene signature and miRNA can serve as biomarkers for predicting NSCLC distant metastasis, and targeting them could potentially contribute to the development of novel therapeutic strategies.
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Affiliation(s)
- Lingling Zu
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China.
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
| | - Jinling He
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Ning Zhou
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Quanying Tang
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China
| | - Maoli Liang
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Song Xu
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China.
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
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8
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Sridhar S, Bhalla P, Kullu J, Veerapaneni S, Sahoo S, Bhatt N, Suraishkumar GK. A reactive species reactions module for integration into genome-scale metabolic models for improved insights: Application to cancer. Metab Eng 2023; 80:78-93. [PMID: 37689259 DOI: 10.1016/j.ymben.2023.08.006] [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: 04/03/2023] [Revised: 08/07/2023] [Accepted: 08/28/2023] [Indexed: 09/11/2023]
Abstract
Reactive species (RS) play significant roles in many disease contexts. Despite their crucial roles in diseases including cancer, the RS are not adequately modeled in the genome-scale metabolic (GSM) models, which are used to understand cell metabolism in disease contexts. We have developed a scalable RS reactions module that can be integrated with any Recon 3D-derived human metabolic model, or after fine-tuning, with any metabolic model. With RS-integration, the GSM models of three cancers (basal-like triple negative breast cancer (TNBC), high grade serous ovarian carcinoma (HGSOC) and colorectal cancer (CRC)) built from Recon 3D, precisely highlighted the increases/decreases in fluxes (dysregulation) occurring in important pathways of these cancers. These dysregulations were not prominent in the standard cancer models without the RS module. Further, the results from these RS-integrated cancer GSM models suggest the following decreasing order in the ease of ferroptosis-targeting to treat the cancers: TNBC > HGSOC > CRC.
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Affiliation(s)
- Subasree Sridhar
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences Building - 1 and 2, Indian Institute of Technology Madras, Chennai, 600 036, India; Centre for Integrative Biology and Systems medicinE, Indian Institute of Technology Madras, Chennai, 600 036, India
| | - Prerna Bhalla
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences Building - 1 and 2, Indian Institute of Technology Madras, Chennai, 600 036, India
| | - Justin Kullu
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences Building - 1 and 2, Indian Institute of Technology Madras, Chennai, 600 036, India
| | - Sriya Veerapaneni
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences Building - 1 and 2, Indian Institute of Technology Madras, Chennai, 600 036, India
| | - Swagatika Sahoo
- Department of Chemical Engineering, Indian Institute of Technology Madras, Chennai, 600 036, India
| | - Nirav Bhatt
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences Building - 1 and 2, Indian Institute of Technology Madras, Chennai, 600 036, India; Centre for Integrative Biology and Systems medicinE, Indian Institute of Technology Madras, Chennai, 600 036, India; Robert Bosch Centre for Data Science and Artificial Intelligence, Indian Institute of Technology Madras, Chennai, 600 036, India.
| | - G K Suraishkumar
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences Building - 1 and 2, Indian Institute of Technology Madras, Chennai, 600 036, India.
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Fernández-Santiago C, López-López R, Piñeiro R. Models to study CTCs and CTC culture methods. INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2023; 381:57-98. [PMID: 37739484 DOI: 10.1016/bs.ircmb.2023.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/24/2023]
Abstract
The vast majority of cancer-related deaths are due to the presence of disseminated disease. Understanding the metastatic process is key to achieving a reduction in cancer mortality. Particularly, there is a need to understand the molecular mechanisms that drive cancer metastasis, which will allow the identification of curative treatments for metastatic cancers. Liquid biopsies have arisen as a minimally invasive approach to gain insights into the biology of metastasis. Circulating tumour cells (CTCs), shed to the circulation from the primary tumour or metastatic lesions, are a key component of liquid biopsy. As metastatic precursors, CTCs hold the potential to unravel the mechanisms involved in metastasis formation as well as new therapeutic strategies for treating metastatic disease. However, the complex biology of CTCs together with their low frequency in circulation are factors hampering an in-depth mechanistic investigation of the metastatic process. To overcome these problems, CTC-derived models, including CTC-derived xenograft (CDX) and CTC-derived ex vivo cultures, in combination with more traditional in vivo models of metastasis, have emerged as powerful tools to investigate the biological features of CTCs facilitating cancer metastasis and uncover new therapeutic opportunities. In this chapter, we provide an up to date view of the diverse models used in different cancers to study the biology of CTCs, and of the methods developed for CTC culture and expansion, in vivo and ex vivo. We also report some of the main challenges and limitations that these models are facing.
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Affiliation(s)
- Cristóbal Fernández-Santiago
- Roche-Chus Joint Unit, Translational Medical Oncology Group (Oncomet), Health Research Institute of Santiago de Compostela, Santiago de Compostela, A Coruña, Spain
| | - Rafael López-López
- Roche-Chus Joint Unit, Translational Medical Oncology Group (Oncomet), Health Research Institute of Santiago de Compostela, Santiago de Compostela, A Coruña, Spain; University Clinical Hospital of Santiago de Compostela (CHUS/SERGAS), Santiago de Compostela, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
| | - Roberto Piñeiro
- Roche-Chus Joint Unit, Translational Medical Oncology Group (Oncomet), Health Research Institute of Santiago de Compostela, Santiago de Compostela, A Coruña, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain.
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10
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Zhao H, Wang L, Ji X, Zhang L, Li C. Biology of breast cancer brain metastases and novel therapies targeting the blood brain barrier: an updated review. Med Oncol 2023; 40:181. [PMID: 37202575 DOI: 10.1007/s12032-023-02047-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 05/04/2023] [Indexed: 05/20/2023]
Abstract
Brain metastasis (BM) is a critical cause of morbidity and mortality in patients with breast cancer (BC). Compared with other cancer cells, BC cells (BCs) exhibit special features in the metastatic process. However, the underlying mechanisms are still unclear, especially the crosstalk between tumour cells and the microenvironment. To date, novel therapies for BM, including targeted therapy and antibody‒drug conjugates, have been developed. Due to an improved understanding of the blood‒brain barrier (BBB) and blood-tumour barrier (BTB), the development and testing of therapeutic agents in clinical phases have substantially increased. However, these therapies face a major challenge due to the low penetration of the BBB or BTB. As a result, researchers have increasingly focused on finding ways to promote drug penetration through these barriers. This review provides an updated overview of breast cancer brain metastases (BCBM) and summarizes the newly developed therapies for BCBM, especially drugs targeting the BBB or BTB.
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Affiliation(s)
- Hongfang Zhao
- Clinical Medicine College, Affiliated Hospital of Hebei University, Hebei University, Baoding, 071000, China
- Department of Neurosurgery, Affiliated Hospital of Hebei University, Hebei University, Baoding, 071000, China
| | - Luxuan Wang
- Department of Neurological Function Examination, Affiliated Hospital of Hebei University, Hebei University, Baoding, 071000, China
| | - Xiaolin Ji
- Clinical Medicine College, Affiliated Hospital of Hebei University, Hebei University, Baoding, 071000, China
- Department of Neurosurgery, Affiliated Hospital of Hebei University, Hebei University, Baoding, 071000, China
| | - Lijian Zhang
- Clinical Medicine College, Affiliated Hospital of Hebei University, Hebei University, Baoding, 071000, China.
- Department of Neurosurgery, Affiliated Hospital of Hebei University, Hebei University, Baoding, 071000, China.
- Postdoctoral Research Station of Neurosurgery, Department of Neurosurgery, Affiliated Hospital of Hebei University, Hebei University, Baoding, 071000, China.
| | - Chunhui Li
- Clinical Medicine College, Affiliated Hospital of Hebei University, Hebei University, Baoding, 071000, China.
- Department of Neurosurgery, Affiliated Hospital of Hebei University, Hebei University, Baoding, 071000, China.
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11
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Huang XY, Li F, Li TT, Zhang JT, Shi XJ, Huang XY, Zhou J, Tang ZY, Huang ZL. A clinically feasible circulating tumor cell sorting system for monitoring the progression of advanced hepatocellular carcinoma. J Nanobiotechnology 2023; 21:25. [PMID: 36681851 PMCID: PMC9867854 DOI: 10.1186/s12951-023-01783-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 01/13/2023] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Hematogenous metastasis is essential for the progression of advanced hepatocellular carcinoma (HCC) and can occur even after patients receive multidisciplinary therapies, including immunotherapy and hepatectomy; circulating tumor cells (CTCs) are one of the dominant components of the metastatic cascade. However, the CTC capture efficiency for HCC is low due to the low sensitivity of the detection method. In this study, epithelial cell adhesion molecule (EpCAM)/vimentin/Glypican-3 (GPC3) antibody-modified lipid magnetic spheres (LMS) were used to capture tumor cells with epithelial phenotype, mesenchymal phenotype and GPC3 phenotype, respectively, in order to capture more CTCs with a more comprehensive phenotype for monitoring tumor metastasis. RESULTS The novel CTC detection system of Ep-LMS/Vi-LMS/GPC3-LMS was characterized by low toxicity, strong specificity (96.94%), high sensitivity (98.12%) and high capture efficiency (98.64%) in vitro. A sudden increase in CTC counts accompanied by the occurrence of lung metastasis was found in vivo, which was further validated by a clinical study. During follow-up, the rapid increase in CTCs predicted tumor progression in HCC patients. Additionally, genetic testing results showed common genetic alterations in primary tumors, CTCs and metastatic tissues. The proportion of patients predicted to benefit from immunotherapy with the CTC detection method was higher than that for the tissue detection method (76.47% vs. 41.18%, P = 0.037), guiding the application of clinical individualized therapy. CONCLUSIONS The Ep-LMS/Vi-LMS/GPC3-LMS sequential CTC capture system is convenient and feasible for the clinical prediction of HCC progression. CTCs captured by this system could be used as a suitable alternative to HCC tissue detection in guiding immunotherapy, supporting the clinical application of CTC liquid biopsy.
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Affiliation(s)
- Xiu-Yan Huang
- grid.412528.80000 0004 1798 5117Department of General Surgery, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - Feng Li
- grid.16821.3c0000 0004 0368 8293School of Materials of Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240 People’s Republic of China
| | - Ting-Ting Li
- grid.412528.80000 0004 1798 5117Department of Infectious Disease, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - Jun-Tao Zhang
- grid.412528.80000 0004 1798 5117Institute of Microsurgery on Extremities, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - Xiang-Jun Shi
- grid.412528.80000 0004 1798 5117Department of General Surgery, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - Xin-Yu Huang
- grid.412528.80000 0004 1798 5117Department of General Surgery, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China
| | - Jian Zhou
- grid.8547.e0000 0001 0125 2443Liver Cancer Institute and Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032 People’s Republic of China
| | - Zhao-You Tang
- grid.8547.e0000 0001 0125 2443Liver Cancer Institute and Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032 People’s Republic of China
| | - Zi-Li Huang
- grid.412528.80000 0004 1798 5117Department of General Surgery, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, 600 Yishan Road, Shanghai, 200233 People’s Republic of China ,grid.8547.e0000 0001 0125 2443Department of Radiology, Xuhui District Central Hospital of Zhongshan Hospital, Fudan University, 966 Huaihai Middle Road, Shanghai, 200031 People’s Republic of China
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12
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Signatures of Breast Cancer Progression in the Blood: What Could Be Learned from Circulating Tumor Cell Transcriptomes. Cancers (Basel) 2022; 14:cancers14225668. [PMID: 36428760 PMCID: PMC9688726 DOI: 10.3390/cancers14225668] [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: 09/16/2022] [Revised: 11/03/2022] [Accepted: 11/08/2022] [Indexed: 11/19/2022] Open
Abstract
Gene expression profiling has revolutionized our understanding of cancer biology, showing an unprecedented ability to impact patient management especially in breast cancer. The vast majority of breast cancer gene expression signatures derive from the analysis of the tumor bulk, an experimental approach that limits the possibility to dissect breast cancer heterogeneity thoroughly and might miss the message hidden in biologically and clinically relevant cell populations. During disease progression or upon selective pressures, cancer cells undergo continuous transcriptional changes, which inevitably affect tumor heterogeneity, response to therapy and tendency to disseminate. Therefore, metastasis-associated signatures and transcriptome-wide gene expression measurement at single-cell resolution hold great promise for the future of breast cancer clinical care. Seen from this perspective, transcriptomics of circulating tumor cells (CTCs) represent an attractive opportunity to bridge the knowledge gap and develop novel biomarkers. This review summarizes the current state-of-the-science on CTC gene expression analysis in breast cancer, addresses technical and clinical issues related to the application of CTC-derived signatures, and discusses potential research directions.
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13
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Li J, Zhang X, Ren P, Wu Y, Wang Y, Zhou W, Wang Z, Chao P. Landscape of RNA-binding proteins in diagnostic utility, immune cell infiltration and PANoptosis features of heart failure. Front Genet 2022; 13:1004163. [PMID: 36313471 PMCID: PMC9614340 DOI: 10.3389/fgene.2022.1004163] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 09/27/2022] [Indexed: 11/13/2022] Open
Abstract
Objective: Heart failure remains a global public health problem linked to rising morbidity and mortality. RNA-binding proteins (RBPs) are crucial regulators in post-transcriptionally determining gene expression. Our study aimed to comprehensively elucidate the diagnostic utility and biological roles of RBPs in heart failure. Methods: Genomic data of human failing and nonfailing left ventricular myocardium specimens were retrieved from the GEO datasets. Heart failure-specific RBPs were screened with differential expression analyses, and RBP-based subtypes were clustered with consensus clustering approach. GSEA was implemented for comparing KEGG pathways across subtypes. RBP-based subtype-related genes were screened with WGCNA. Afterwards, characteristic genes were selected through integrating LASSO and SVM-RFE approaches. A nomogram based on characteristic genes was established and verified through calibration curve, decision curve and clinical impact curve analyses. The abundance of immune cell types was estimated with CIBERSORT approach. Results: Heart failure-specific RBPs were determined, which were remarkably linked to RNA metabolism process. Three RBP-based subtypes (namely C1, C2, C3) were established, characterized by distinct pathway activities and PANoptosis gene levels. C2 subtype presented the highest abundance of immune cells, followed by C1 and C3. Afterwards, ten characteristic genes were selected, which enabled to reliably diagnose heart failure risk. The characteristic gene-based nomogram enabled to accurately predict risk of heart failure, with the excellent clinical utility. Additionally, characteristic genes correlated to immune cell infiltration and PANoptosis genes. Conclusion: Our findings comprehensively described the roles of RBPs in heart failure. Further research is required for verifying the effectiveness of RBP-based subtypes and characteristic genes in heart failure.
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Affiliation(s)
- Jie Li
- Department of Cardiology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Xueqin Zhang
- Department of Nephrology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Peng Ren
- Department of Cardiology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Yu Wu
- Department of Medical Administration, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Yaoguo Wang
- Department of Information Center, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Wenzheng Zhou
- Department of Orthopaedics, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
- *Correspondence: Wenzheng Zhou, ; Zhao Wang, ; Peng Chao,
| | - Zhao Wang
- Department of Cardiology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
- *Correspondence: Wenzheng Zhou, ; Zhao Wang, ; Peng Chao,
| | - Peng Chao
- Department of Cardiology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
- *Correspondence: Wenzheng Zhou, ; Zhao Wang, ; Peng Chao,
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14
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Zhu C, Xu J, Sun J, Cui S, Sun Y, Yu T, Wang C, Wang T, Wu Y, Ju F, Yao J, Liu K, Zhang W, Guan X. Circulating Tumor Cells and Breast Cancer Metastasis: From Enumeration to Somatic Mutational Profile. J Clin Med 2022; 11:jcm11206067. [PMID: 36294386 PMCID: PMC9604974 DOI: 10.3390/jcm11206067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 09/26/2022] [Accepted: 09/30/2022] [Indexed: 11/16/2022] Open
Abstract
Aims: This study investigates the association between circulating tumor cells (CTCs) and breast cancer metastasis. Methods: A retrospective study was conducted using patients with histologically confirmed breast cancer recruited from the First Affiliated Hospital of Nanjing Medical University during the period of August 2017−October 2020. We used adjusted logistic regression, the random forest algorithm, and sensitivity analysis to study the association between CTC enumeration and tumor metastasis. Further, we performed next-generation sequencing (NGS) on the CTCs obtained from two patients with breast cancer brain metastasis. Results: A total of 41 out of 116 enrolled patients were identified with tumor metastasis. CTC enumeration was significantly higher in patients with liver metastasis than in those without liver metastasis. Patients with CTCs ≥ 5 exhibited a higher risk of tumor metastasis than those with CTCs < 5 in the adjusted model (odds ratios (OR) = 6.25, 95% confidence interval (CI) = 2.63−15.58). The random forest model identified CTC enumeration as a significant metastasis-related variable with the highest mean decrease accuracy and mean decrease Gini score. No significant association was found between CTCs and visceral metastasis with an OR of 1.29 (95% CI = 0.98−2.05, p = 0.232). Upon further investigating organ-specific metastasis, we found that patients with high CTC levels were more likely to develop liver metastasis (OR = 4.87, 95% CI = 1.34−20.17, p = 0.021). The NGS study of CTCs identified a total of 120 indel mutations (e.g., CNGB1, NTSR1, ZG16). The enriched biological processes were mechanoreceptor differentiation and macrophage activation involved in the immune response. The enriched KEGG pathways included focal adhesion, the PI3K-Akt signaling pathway, and microRNAs involved in cancer. Conclusions: Our study revealed that CTCs ≥ 5 are a risk factor for tumor metastasis in breast cancer patients. In addition, we reported that CTCs ≥ 5 might be associated with a higher risk of liver metastasis in patients with metastatic breast cancer. We have provided the mutational profiles of CTCs based on next-generation sequencing.
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Affiliation(s)
- Chengjun Zhu
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing 210029, China
| | - Jing Xu
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing 210029, China
| | - Jinyu Sun
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing 210029, China
| | - Shiyun Cui
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing 210029, China
| | - Yue Sun
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing 210029, China
| | - Tao Yu
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing 210029, China
| | - Cenzhu Wang
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing 210029, China
| | - Tianyao Wang
- Stomatological College, Nanjing Medical University, Nanjing 210029, China
| | - Yufeng Wu
- Stomatological College, Nanjing Medical University, Nanjing 210029, China
| | - Feng Ju
- College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Jiafeng Yao
- College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Kai Liu
- College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Wenwen Zhang
- Department of Oncology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing 210006, China
- Correspondence: (W.Z.); (X.G.)
| | - Xiaoxiang Guan
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing 210029, China
- Correspondence: (W.Z.); (X.G.)
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15
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Crook T, Leonard R, Mokbel K, Thompson A, Michell M, Page R, Vaid A, Mehrotra R, Ranade A, Limaye S, Patil D, Akolkar D, Datta V, Fulmali P, Apurwa S, Schuster S, Srinivasan A, Datar R. Accurate Screening for Early-Stage Breast Cancer by Detection and Profiling of Circulating Tumor Cells. Cancers (Basel) 2022; 14:3341. [PMID: 35884402 PMCID: PMC9316476 DOI: 10.3390/cancers14143341] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 07/04/2022] [Accepted: 07/07/2022] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND The early detection of breast cancer (BrC) is associated with improved survival. We describe a blood-based breast cancer detection test based on functional enrichment of breast-adenocarcinoma-associated circulating tumor cells (BrAD-CTCs) and their identification via multiplexed fluorescence immunocytochemistry (ICC) profiling for GCDFP15, GATA3, EpCAM, PanCK, and CD45 status. METHODS The ability of the test to differentiate BrC cases (N = 548) from healthy women (N = 9632) was evaluated in a case-control clinical study. The ability of the test to differentiate BrC cases from those with benign breast conditions was evaluated in a prospective clinical study of women (N = 141) suspected of BrC. RESULTS The test accurately detects BrAD-CTCs in breast cancers, irrespective of age, ethnicity, disease stage, grade, or hormone receptor status. Analytical validation established the high accuracy and reliability of the test under intended use conditions. The test detects and differentiates BrC cases from healthy women with 100% specificity and 92.07% overall sensitivity in a case-control study. In a prospective clinical study, the test shows 93.1% specificity and 94.64% overall sensitivity in differentiating breast cancer cases (N = 112) from benign breast conditions (N = 29). CONCLUSION The findings reported in this manuscript support the clinical potential of this test for blood-based BrC detection.
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Affiliation(s)
- Timothy Crook
- Department of Oncology, The London Clinic, London W1G 6BW, UK
| | - Robert Leonard
- Department of Oncology, Cromwell Hospital, London SW5 0TU, UK;
| | - Kefah Mokbel
- The London Breast Institute, Princess Grace Hospital, London W1U 5NY, UK;
| | - Alastair Thompson
- Division of Surgical Oncology, Baylor College of Medicine, Houston, TX 77030, USA;
| | - Michael Michell
- National Breast Screening Training Centre, King’s College Hospital, London SE5 9RS, UK;
| | - Raymond Page
- Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA 01609, USA;
| | - Ashok Vaid
- Department of Medical and Haemato Oncology, Medanta-The Medicity, Gurugram 122001, India;
| | - Ravi Mehrotra
- Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA;
| | | | - Sewanti Limaye
- Department of Medical and Precision Oncology, Sir HN Reliance Foundation Hospital and Research Centre, Mumbai 400004, India;
| | - Darshana Patil
- Department of Research and Innovations, Datar Cancer Genetics, Nasik 422010, India; (D.P.); (D.A.); (V.D.); (P.F.); (S.A.); (A.S.); (R.D.)
| | - Dadasaheb Akolkar
- Department of Research and Innovations, Datar Cancer Genetics, Nasik 422010, India; (D.P.); (D.A.); (V.D.); (P.F.); (S.A.); (A.S.); (R.D.)
| | - Vineet Datta
- Department of Research and Innovations, Datar Cancer Genetics, Nasik 422010, India; (D.P.); (D.A.); (V.D.); (P.F.); (S.A.); (A.S.); (R.D.)
| | - Pradip Fulmali
- Department of Research and Innovations, Datar Cancer Genetics, Nasik 422010, India; (D.P.); (D.A.); (V.D.); (P.F.); (S.A.); (A.S.); (R.D.)
| | - Sachin Apurwa
- Department of Research and Innovations, Datar Cancer Genetics, Nasik 422010, India; (D.P.); (D.A.); (V.D.); (P.F.); (S.A.); (A.S.); (R.D.)
| | - Stefan Schuster
- Department of Research and Innovations, Datar Cancer Genetics Europe GmbH, 95488 Eckersdorf, Germany;
| | - Ajay Srinivasan
- Department of Research and Innovations, Datar Cancer Genetics, Nasik 422010, India; (D.P.); (D.A.); (V.D.); (P.F.); (S.A.); (A.S.); (R.D.)
| | - Rajan Datar
- Department of Research and Innovations, Datar Cancer Genetics, Nasik 422010, India; (D.P.); (D.A.); (V.D.); (P.F.); (S.A.); (A.S.); (R.D.)
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