1
|
Gao F, Wu Y, Wang R, Yao Y, Liu Y, Fan L, Xu J, Zhang J, Han X, Guan X. Precise nano-system-based drug delivery and synergistic therapy against androgen receptor-positive triple-negative breast cancer. Acta Pharm Sin B 2024; 14:2685-2697. [PMID: 38828153 PMCID: PMC11143519 DOI: 10.1016/j.apsb.2024.03.012] [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: 12/25/2023] [Revised: 02/08/2024] [Accepted: 02/16/2024] [Indexed: 06/05/2024] Open
Abstract
Targeting androgen receptor (AR) has shown great therapeutic potential in triple-negative breast cancer (TNBC), yet its efficacy remains unsatisfactory. Here, we aimed to identify promising targeted agents that synergize with enzalutamide, a second-generation AR inhibitor, in TNBC. By using a strategy for screening drug combinations based on the Sensitivity Index (SI), we found that MK-8776, a selective checkpoint kinase1 (CHK1) inhibitor, showed favorable synergism with enzalutamide in AR-positive TNBC. The combination of enzalutamide and MK-8776 was found to exert more significant anti-tumor effects in TNBC than the single application of enzalutamide or MK-8776, respectively. Furthermore, a nanoparticle-based on hyaluronic acid (HA)-modified hollow-manganese dioxide (HMnO2), named HMnE&M@H, was established to encapsulate and deliver enzalutamide and MK-8776. This HA-modified nanosystem managed targeted activation via pH/glutathione responsiveness. HMnE&M@H repressed tumor growth more obviously than the simple addition of enzalutamide and MK-8776 without a carrier. Collectively, our study elucidated the synergy of enzalutamide and MK-8776 in TNBC and developed a novel tumor-targeted nano drug delivery system HMnE&M@H, providing a potential therapeutic approach for the treatment of TNBC.
Collapse
Affiliation(s)
- Fangyan Gao
- Department of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Yueyao Wu
- Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Runtian Wang
- Department of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Yuhui Yao
- Department of Oncology, the Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Yiqiu Liu
- Department of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Lingling Fan
- Department of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Jingtong Xu
- Department of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Jian Zhang
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Xin Han
- Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, China
| | - Xiaoxiang Guan
- Department of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China
| |
Collapse
|
2
|
Powell RT, Rinkenbaugh AL, Guo L, Cai S, Shao J, Zhou X, Zhang X, Jeter-Jones S, Fu C, Qi Y, Baameur Hancock F, White JB, Stephan C, Davies PJ, Moulder S, Symmans WF, Chang JT, Piwnica-Worms H. Targeting neddylation and sumoylation in chemoresistant triple negative breast cancer. NPJ Breast Cancer 2024; 10:37. [PMID: 38802426 PMCID: PMC11130334 DOI: 10.1038/s41523-024-00644-4] [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: 08/16/2023] [Accepted: 05/09/2024] [Indexed: 05/29/2024] Open
Abstract
Triple negative breast cancer (TNBC) accounts for 15-20% of breast cancer cases in the United States. Systemic neoadjuvant chemotherapy (NACT), with or without immunotherapy, is the current standard of care for patients with early-stage TNBC. However, up to 70% of TNBC patients have significant residual disease once NACT is completed, which is associated with a high risk of developing recurrence within two to three years of surgical resection. To identify targetable vulnerabilities in chemoresistant TNBC, we generated longitudinal patient-derived xenograft (PDX) models from TNBC tumors before and after patients received NACT. We then compiled transcriptomes and drug response profiles for all models. Transcriptomic analysis identified the enrichment of aberrant protein homeostasis pathways in models from post-NACT tumors relative to pre-NACT tumors. This observation correlated with increased sensitivity in vitro to inhibitors targeting the proteasome, heat shock proteins, and neddylation pathways. Pevonedistat, a drug annotated as a NEDD8-activating enzyme (NAE) inhibitor, was prioritized for validation in vivo and demonstrated efficacy as a single agent in multiple PDX models of TNBC. Pharmacotranscriptomic analysis identified a pathway-level correlation between pevonedistat activity and post-translational modification (PTM) machinery, particularly involving neddylation and sumoylation targets. Elevated levels of both NEDD8 and SUMO1 were observed in models exhibiting a favorable response to pevonedistat compared to those with a less favorable response in vivo. Moreover, a correlation emerged between the expression of neddylation-regulated pathways and tumor response to pevonedistat, indicating that targeting these PTM pathways may prove effective in combating chemoresistant TNBC.
Collapse
Affiliation(s)
- Reid T Powell
- Center for Translational Cancer Research, Institute of Bioscience and Technology Texas A&M Health Science Center, Houston, TX, USA
| | - Amanda L Rinkenbaugh
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lei Guo
- Center for Translational Cancer Research, Institute of Bioscience and Technology Texas A&M Health Science Center, Houston, TX, USA
| | - Shirong Cai
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jiansu Shao
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xinhui Zhou
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xiaomei Zhang
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sabrina Jeter-Jones
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Chunxiao Fu
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yuan Qi
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Faiza Baameur Hancock
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jason B White
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Clifford Stephan
- Center for Translational Cancer Research, Institute of Bioscience and Technology Texas A&M Health Science Center, Houston, TX, USA
| | - Peter J Davies
- Center for Translational Cancer Research, Institute of Bioscience and Technology Texas A&M Health Science Center, Houston, TX, USA
| | - Stacy Moulder
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Eli Lilly and Company, Indianapolis, IN, USA
| | - W Fraser Symmans
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jeffrey T Chang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Integrative Biology and Pharmacology, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Helen Piwnica-Worms
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| |
Collapse
|
3
|
Wu X, Xu W, Deng L, Li Y, Wang Z, Sun L, Gao A, Wang H, Yang X, Wu C, Zou Y, Yan K, Liu Z, Zhang L, Du G, Yang L, Lin D, Yue J, Wang P, Han Y, Fu Z, Dai J, Cao G. Spatial multi-omics at subcellular resolution via high-throughput in situ pairwise sequencing. Nat Biomed Eng 2024:10.1038/s41551-024-01205-7. [PMID: 38745110 DOI: 10.1038/s41551-024-01205-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 04/01/2024] [Indexed: 05/16/2024]
Abstract
Technology for spatial multi-omics aids the discovery of new insights into cellular functions and disease mechanisms. Here we report the development and applicability of multi-omics in situ pairwise sequencing (MiP-seq), a method for the simultaneous detection of DNAs, RNAs, proteins and biomolecules at subcellular resolution. Compared with other in situ sequencing methods, MiP-seq enhances decoding capacity and reduces sequencing and imaging costs while maintaining the efficacy of detection of gene mutations, allele-specific expression and RNA modifications. MiP-seq can be integrated with in vivo calcium imaging and Raman imaging, which enabled us to generate a spatial multi-omics atlas of mouse brain tissues and to correlate gene expression with neuronal activity and cellular biochemical fingerprints. We also report a sequential dilution strategy for resolving optically crowded signals during in situ sequencing. High-throughput in situ pairwise sequencing may facilitate the multidimensional analysis of molecular and functional maps of tissues.
Collapse
Affiliation(s)
- Xiaofeng Wu
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Weize Xu
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Lulu Deng
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Yue Li
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Zhongchao Wang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Leqiang Sun
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Anran Gao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Haoqi Wang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Xiaodan Yang
- School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chengchao Wu
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Yanyan Zou
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Keji Yan
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Zhixiang Liu
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Lingkai Zhang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Guohua Du
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Liyao Yang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Da Lin
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
| | - Junqiu Yue
- Department of Pathology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Wang
- Britton Chance Centre for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Centre for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, China
| | - Yunyun Han
- School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhenfang Fu
- Department of Pathology, College of Veterinary Medicine, University of Georgia, Athens, GA, USA
| | - Jinxia Dai
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
| | - Gang Cao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China.
- Faculty of Life and Health Sciences, and Shenzhen-Hong Kong Institute of Brain Science and The Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
- NMPA Key Laboratory for Research and Evaluation of Viral Vector Technology in Cell and Gene Therapy Medicinal Products, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
| |
Collapse
|
4
|
Huang X, Xu A, Xu X, Luo Z, Li C, Wang X, Fu D. Development and Validation of a Prognostic Nomogram for Breast Cancer Patients With Multi-Organ Metastases: An Analysis of the Surveillance, Epidemiology, and End Results Program Database. Am Surg 2024:31348241250044. [PMID: 38712351 DOI: 10.1177/00031348241250044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
BACKGROUND Multi-organ metastases represent a substantial life-threatening risk for breast cancer (BC) patients. Nonetheless, the current dearth of assessment tools for patients with multi-organ metastatic BC adversely impacts their evaluation. METHODS We conducted a retrospective analysis of BC patients with multi-organ metastases using data from the SEER database from 2010 to 2019. The patients were randomly allocated into a training cohort and a validation cohort in a 7:3 ratio. Univariate COX regression analysis, the LASSO, and multivariate Cox regression analyses were performed to identify independent prognostic factors in the training set. Based on these factors, a nomogram was constructed to estimate overall survival (OS) probability for BC patients with multi-organ metastases. The performance of the nomogram was evaluated using C-indexes, ROC curves, calibration curves, decision curve analysis (DCA) curves, and the risk classification system for validation. RESULTS A total of 3626 BC patients with multi-organ metastases were included in the study, with 2538 patients in the training cohort and 1088 patients in the validation cohort. Age, grade, metastasis location, surgery, chemotherapy, and subtype were identified as significant independent prognostic factors for OS in BC patients with multi-organ metastases. A nomogram for predicting 1-year, 3-year, and 5-year OS was constructed. The evaluation metrics, including C-indexes, ROC curves, calibration curves, and DCA curves, demonstrated the excellent predictive performance of the nomogram. Additionally, the risk grouping system effectively stratified BC patients with multi-organ metastases into distinct prognostic categories. CONCLUSION The developed nomogram showed high accuracy in predicting the survival probability of BC patients with multi-organ metastases, providing valuable information for patient counseling and treatment decision making.
Collapse
Affiliation(s)
- Xiao Huang
- Clinical Medical College, Yangzhou University, Yangzhou, China
| | - An Xu
- Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Xiangnan Xu
- Department of Breast Surgery, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China
| | - Zhou Luo
- Department of Breast Surgery, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China
| | - Chunlian Li
- Clinical Medical College, Yangzhou University, Yangzhou, China
- Department of Breast Surgery, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China
| | - Xueying Wang
- Clinical Medical College, Yangzhou University, Yangzhou, China
- Department of Breast Surgery, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China
| | - Deyuan Fu
- Department of Breast Surgery, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China
| |
Collapse
|
5
|
Petrella PE, Chen JW, Ravelo GO, Cosgrove BD. Chemoresistance to additive PARP/PI3K dual inhibition in triple-negative breast cancer cell lines is associated with adaptive stem cell-like prevalence. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.28.591568. [PMID: 38746322 PMCID: PMC11092486 DOI: 10.1101/2024.04.28.591568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Cancer stem-like cells (CSCs) are posited to exhibit specialized oncogenic capacity to drive malignancies. CSCs are distinguished by enhanced hallmarks of cancer, including apoptosis avoidance, phenotypic plasticity and aberrant growth pathway signaling. Standard-of-care chemotherapies targeted to rapidly cycling cells routinely fail to eliminate this resistant subpopulation, leading to disease recurrence and metastasis. Triple-negative breast cancer (TNBC), a highly aggressive subtype of breast cancer, is enriched for tumor-propagating CD44+/CD24-/low CSCs, which are poorly ablated by chemotherapeutics and are associated with poor prognosis. CD44 governs sustained PI3K signaling in breast cancer, which is essential for CSC maintenance. PI3K inhibition can elicit DNA damage and down-regulate BRCA1 expression, which in turn enhance the synthetic lethality of PARP inhibitors. Here, we examined a dual chemotherapeutic approach targeting these pathways by combining a pan-PI3K inhibitor (Buparlisib) and a PARP1 inhibitor (Olaparib) on a panel of TNBC cell lines with distinct mutational profiles and proportions of CSCs. We observed differential sensitivity to this dual inhibition strategy and varying cellular stress and resistance responses across eight TNBC lines. The dual chemotherapeutic effect is associated with a reduction in S-phase cells, an increased in apoptotic cells and elevated expression of cleaved PARP, indicating a provoked replicative stress response. We observed that PARP/PI3K inhibition efficacy was potentiated by repeated administration in some TNBC lines and identified critical treatment schedules, which further potentiated the dual chemotherapeutic effect. Dual inhibition induced small but significant increases in CSC relative abundance as marked by CD44+/CD24-/low or ALDH1+ cells and increased stress and survival signaling in multiple TNBC cell lines, suggesting this sub-population contributes to TNBC chemoresistance. These results suggest the additive effects of PARP and PI3K inhibition against CSC phenotypes may be enhanced by temporally-staged administration in TNBC cells.
Collapse
Affiliation(s)
| | - Jason W. Chen
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Gabrielle O. Ravelo
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Benjamin D. Cosgrove
- Graduate Field of Biochemistry, Molecular, and Cell Biology and
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| |
Collapse
|
6
|
Ayyappan V, Jenkinson NM, Tressler CM, Tan Z, Cheng M, Shen XE, Guerrero A, Sonkar K, Cai R, Adelaja O, Roy S, Meeker A, Argani P, Glunde K. Context-dependent roles for ubiquitous mitochondrial creatine kinase CKMT1 in breast cancer progression. Cell Rep 2024; 43:114121. [PMID: 38615320 PMCID: PMC11100297 DOI: 10.1016/j.celrep.2024.114121] [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: 01/25/2023] [Revised: 02/14/2024] [Accepted: 03/31/2024] [Indexed: 04/16/2024] Open
Abstract
Metabolic reprogramming is a hallmark of cancer, enabling cancer cells to rapidly proliferate, invade, and metastasize. We show that creatine levels in metastatic breast cancer cell lines and secondary metastatic tumors are driven by the ubiquitous mitochondrial creatine kinase (CKMT1). We discover that, while CKMT1 is highly expressed in primary tumors and promotes cell viability, it is downregulated in metastasis. We further show that CKMT1 downregulation, as seen in breast cancer metastasis, drives up mitochondrial reactive oxygen species (ROS) levels. CKMT1 downregulation contributes to the migratory and invasive potential of cells by ROS-induced upregulation of adhesion and degradative factors, which can be reversed by antioxidant treatment. Our study thus reconciles conflicting evidence about the roles of metabolites in the creatine metabolic pathway in breast cancer progression and reveals that tight, context-dependent regulation of CKMT1 expression facilitates cell viability, cell migration, and cell invasion, which are hallmarks of metastatic spread.
Collapse
Affiliation(s)
- Vinay Ayyappan
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nicole M Jenkinson
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Caitlin M Tressler
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Zheqiong Tan
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Medical Laboratory, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Menglin Cheng
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Xinyi Elaine Shen
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alejandro Guerrero
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kanchan Sonkar
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ruoqing Cai
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Oluwatobi Adelaja
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sujayita Roy
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alan Meeker
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Pedram Argani
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kristine Glunde
- Johns Hopkins University In Vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| |
Collapse
|
7
|
Wang S, Zhang Q, Mao X. Invasive papillary carcinoma of the breast. Front Oncol 2024; 14:1374091. [PMID: 38601769 PMCID: PMC11004302 DOI: 10.3389/fonc.2024.1374091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Accepted: 03/15/2024] [Indexed: 04/12/2024] Open
Abstract
Invasive papillary carcinoma is a rare form of breast cancer that is more likely to occur in postmenopausal women. Previous studies have been limited to case reports and small retrospective studies, leading to low awareness of this type of tumor and difficult clinical management. According to the available literature, invasive papillary carcinoma exhibits unique pathological features and biological behaviors. Invasive papillary carcinoma is mostly luminal type, with a low rate of lymph node metastasis, which underlies its favorable prognosis. The effectiveness of adjuvant therapy in reducing tumor burden and improving prognosis in patients with invasive papillary carcinoma remains uncertain. Due to the rarity of the lesion, conducting prospective clinical trials is impractical. The use of biological models, such as organoids, can help alleviate the impact of the scarcity of this condition on research. In addition, invasive papillary carcinoma is affected by specific genomic events, and more extensive studies of gene expression profiling may provide molecular-level insights to make optimal therapeutic decisions.
Collapse
Affiliation(s)
- Shijing Wang
- Department of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Qingfu Zhang
- Department of Pathology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Xiaoyun Mao
- Department of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| |
Collapse
|
8
|
Gardi N, Chaubal R, Parab P, Pachakar S, Kulkarni S, Shet T, Joshi S, Kembhavi Y, Chandrani P, Quist J, Kowtal P, Grigoriadis A, Sarin R, Govindarajan R, Gupta S. Natural History of Germline BRCA1 Mutated and BRCA Wild-type Triple-negative Breast Cancer. CANCER RESEARCH COMMUNICATIONS 2024; 4:404-417. [PMID: 38315150 PMCID: PMC10865976 DOI: 10.1158/2767-9764.crc-23-0277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 09/09/2023] [Accepted: 01/26/2024] [Indexed: 02/07/2024]
Abstract
We report a deep next-generation sequencing analysis of 13 sequentially obtained tumor samples, eight sequentially obtained circulating tumor DNA (ctDNA) samples and three germline DNA samples over the life history of 3 patients with triple-negative breast cancer (TNBC), 2 of whom had germline pathogenic BRCA1 mutation, to unravel tumor evolution. Tumor tissue from all timepoints and germline DNA was subjected to whole-exome sequencing (WES), custom amplicon deep sequencing (30,000X) of a WES-derived somatic mutation panel, and SNP arrays for copy-number variation (CNV), while whole transcriptome sequencing (RNA-seq) was performed only on somatic tumor.There was enrichment of homologous recombination deficiency signature in all tumors and widespread CNV, which remained largely stable over time. Somatic tumor mutation numbers varied between patients and within each patient (range: 70-216, one outlier). There was minimal mutational overlap between patients with TP53 being the sole commonly mutated gene, but there was substantial overlap in sequential samples in each patient. Each patient's tumor contained a founding ("stem") clone at diagnosis, which persisted over time, from which all other clones ("subclone") were derived ("branching evolution"), which contained mutations in well-characterized cancer-related genes like PDGFRB, ARID2, TP53 (Patient_02), TP53, BRAF, BRIP1, CSF3R (Patient_04), and TP53, APC, EZH2 (Patient_07). Including stem and subclones, tumors from all patients were polyclonal at diagnosis and during disease progression. ctDNA recapitulated most tissue-derived stem clonal and subclonal mutations while detecting some additional subclonal mutations. RNA-seq revealed a stable basal-like pattern, with most highly expressed variants belonging to stem clone. SIGNIFICANCE In germline BRCA1 mutated and BRCA wild-type patients, TNBC shows a branching evolutionary pattern of mutations with a single founding clone, are polyclonal throughout their disease course, and have widespread copy-number aberrations. This evolutionary pattern may be associated with treatment resistance or sensitivity and could be therapeutically exploited.
Collapse
Affiliation(s)
- Nilesh Gardi
- Department of Medical Oncology, Tata Memorial Centre, Mumbai
- Clinician Scientist Laboratory, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, Navi Mumbai
- Homi Bhabha National Institute, Mumbai
| | - Rohan Chaubal
- Clinician Scientist Laboratory, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, Navi Mumbai
- Homi Bhabha National Institute, Mumbai
- Department of Surgical Oncology, Tata Memorial Centre, Mumbai
| | - Pallavi Parab
- Department of Medical Oncology, Tata Memorial Centre, Mumbai
- Homi Bhabha National Institute, Mumbai
| | - Sunil Pachakar
- Department of Medical Oncology, Tata Memorial Centre, Mumbai
- Clinician Scientist Laboratory, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, Navi Mumbai
- Homi Bhabha National Institute, Mumbai
| | - Suyash Kulkarni
- Homi Bhabha National Institute, Mumbai
- Department of Radiodiagnosis, Tata Memorial Centre, Mumbai
| | - Tanuja Shet
- Homi Bhabha National Institute, Mumbai
- Department of Pathology, Tata Memorial Centre, Mumbai
| | - Shalaka Joshi
- Homi Bhabha National Institute, Mumbai
- Department of Surgical Oncology, Tata Memorial Centre, Mumbai
| | - Yogesh Kembhavi
- Department of Medical Oncology, Tata Memorial Centre, Mumbai
- Homi Bhabha National Institute, Mumbai
| | - Pratik Chandrani
- Department of Medical Oncology, Tata Memorial Centre, Mumbai
- Homi Bhabha National Institute, Mumbai
| | - Jelmar Quist
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
- School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
- Breast Cancer Now Unit, School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Pradnya Kowtal
- Homi Bhabha National Institute, Mumbai
- DNA sequencing Facility, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, Navi Mumbai
| | - Anita Grigoriadis
- Cancer Bioinformatics, School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
- School of Cancer & Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
- Breast Cancer Now Unit, School of Cancer and Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - Rajiv Sarin
- Homi Bhabha National Institute, Mumbai
- Department of Radiation Oncology, Tata Memorial Centre, Mumbai
| | | | - Sudeep Gupta
- Department of Medical Oncology, Tata Memorial Centre, Mumbai
- Clinician Scientist Laboratory, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, Navi Mumbai
- Homi Bhabha National Institute, Mumbai
| |
Collapse
|
9
|
Sun W, Perkins M, Huyghe M, Faraldo MM, Fre S, Perié L, Lyne AM. Extracting, filtering and simulating cellular barcodes using CellBarcode tools. NATURE COMPUTATIONAL SCIENCE 2024; 4:128-143. [PMID: 38374363 PMCID: PMC10899113 DOI: 10.1038/s43588-024-00595-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 01/16/2024] [Indexed: 02/21/2024]
Abstract
Identifying true DNA cellular barcodes among polymerase chain reaction and sequencing errors is challenging. Current tools are restricted in the diversity of barcode types supported or the analysis strategies implemented. As such, there is a need for more versatile and efficient tools for barcode extraction, as well as for tools to investigate which factors impact barcode detection and which filtering strategies to best apply. Here we introduce the package CellBarcode and its barcode simulation kit, CellBarcodeSim, that allows efficient and versatile barcode extraction and filtering for a range of barcode types from bulk or single-cell sequencing data using a variety of filtering strategies. Using the barcode simulation kit and biological data, we explore the technical and biological factors influencing barcode identification and provide a decision tree on how to optimize barcode identification for different barcode settings. We believe that CellBarcode and CellBarcodeSim have the capability to enhance the reproducibility and interpretation of barcode results across studies.
Collapse
Affiliation(s)
- Wenjie Sun
- Institut Curie, Université PSL, Sorbonne Université, CNRS UMR168, Laboratoire Physico Chimie Curie, Paris, France.
| | - Meghan Perkins
- Institut Curie, Laboratory of Genetics and Developmental Biology, PSL Research University, INSERM U934, CNRS UMR3215, Paris, France
| | - Mathilde Huyghe
- Institut Curie, Laboratory of Genetics and Developmental Biology, PSL Research University, INSERM U934, CNRS UMR3215, Paris, France
| | - Marisa M Faraldo
- Institut Curie, Laboratory of Genetics and Developmental Biology, PSL Research University, INSERM U934, CNRS UMR3215, Paris, France
| | - Silvia Fre
- Institut Curie, Laboratory of Genetics and Developmental Biology, PSL Research University, INSERM U934, CNRS UMR3215, Paris, France
| | - Leïla Perié
- Institut Curie, Université PSL, Sorbonne Université, CNRS UMR168, Laboratoire Physico Chimie Curie, Paris, France.
| | - Anne-Marie Lyne
- Institut Curie, Université PSL, Sorbonne Université, CNRS UMR168, Laboratoire Physico Chimie Curie, Paris, France.
- INSERM U900, Paris, France.
- MINES ParisTech, CBIO-Centre for Computational Biology, PSL Research University, Paris, France.
| |
Collapse
|
10
|
Witz A, Dardare J, Betz M, Gilson P, Merlin JL, Harlé A. Tumor-derived cell-free DNA and circulating tumor cells: partners or rivals in metastasis formation? Clin Exp Med 2024; 24:2. [PMID: 38231464 PMCID: PMC10794481 DOI: 10.1007/s10238-023-01278-9] [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: 09/25/2023] [Accepted: 11/20/2023] [Indexed: 01/18/2024]
Abstract
The origin of metastases is a topic that has sparked controversy. Despite recent advancements, metastatic disease continues to pose challenges. The first admitted model of how metastases develop revolves around cells breaking away from the primary tumor, known as circulating tumor cells (CTCs). These cells survive while circulating through the bloodstream and subsequently establish themselves in secondary organs, a process often referred to as the "metastatic cascade". This intricate and dynamic process involves various steps, but all the mechanisms behind metastatic dissemination are not yet comprehensively elucidated. The "seed and soil" theory has shed light on the phenomenon of metastatic organotropism and the existence of pre-metastatic niches. It is now established that these niches can be primed by factors secreted by the primary tumor before the arrival of CTCs. In particular, exosomes have been identified as important contributors to this priming. Another concept then emerged, i.e. the "genometastasis" theory, which challenged all other postulates. It emphasizes the intriguing but promising role of cell-free DNA (cfDNA) in metastasis formation through oncogenic formation of recipient cells. However, it cannot be ruled out that all these theories are intertwined. This review outlines the primary theories regarding the metastases formation that involve CTCs, and depicts cfDNA, a potential second player in the metastasis formation. We discuss the potential interrelationships between CTCs and cfDNA, and propose both in vitro and in vivo experimental strategies to explore all plausible theories.
Collapse
Affiliation(s)
- Andréa Witz
- Département de Biopathologie, Institut de Cancérologie de Lorraine, CNRS UMR 7039 CRAN-Université de Lorraine, 6 avenue de Bourgogne, 54519, Vandœuvre-lès-Nancy Cedex, France.
| | - Julie Dardare
- Département de Biopathologie, Institut de Cancérologie de Lorraine, CNRS UMR 7039 CRAN-Université de Lorraine, 6 avenue de Bourgogne, 54519, Vandœuvre-lès-Nancy Cedex, France
| | - Margaux Betz
- Département de Biopathologie, Institut de Cancérologie de Lorraine, CNRS UMR 7039 CRAN-Université de Lorraine, 6 avenue de Bourgogne, 54519, Vandœuvre-lès-Nancy Cedex, France
| | - Pauline Gilson
- Département de Biopathologie, Institut de Cancérologie de Lorraine, CNRS UMR 7039 CRAN-Université de Lorraine, 6 avenue de Bourgogne, 54519, Vandœuvre-lès-Nancy Cedex, France
| | - Jean-Louis Merlin
- Département de Biopathologie, Institut de Cancérologie de Lorraine, CNRS UMR 7039 CRAN-Université de Lorraine, 6 avenue de Bourgogne, 54519, Vandœuvre-lès-Nancy Cedex, France
| | - Alexandre Harlé
- Département de Biopathologie, Institut de Cancérologie de Lorraine, CNRS UMR 7039 CRAN-Université de Lorraine, 6 avenue de Bourgogne, 54519, Vandœuvre-lès-Nancy Cedex, France
| |
Collapse
|
11
|
Weng T, Jenkins BJ, Saad MI. Patient-Derived Xenografts: A Valuable Preclinical Model for Drug Development and Biomarker Discovery. Methods Mol Biol 2024; 2806:19-30. [PMID: 38676793 DOI: 10.1007/978-1-0716-3858-3_3] [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] [Indexed: 04/29/2024]
Abstract
Patient-derived xenografts (PDXs), established by implanting patient tumor cells into immunodeficient mice, offer a platform for faithfully replicating human tumors. They closely mimic the histopathology, genomics, and drug sensitivity of patient tumors. This chapter highlights the versatile applications of PDXs, including studying tumor biology, metastasis, and chemoresistance, as well as their use in biomarker identification, drug screening, and personalized medicine. It also addresses challenges in using PDXs in cancer research, including variations in metastatic potential, lengthy establishment timelines, stromal changes, and limitations in immunocompromised models. Despite these challenges, PDXs remain invaluable tools guiding patient treatment and advancing preclinical drug development.
Collapse
Affiliation(s)
- Teresa Weng
- Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, VIC, Australia
- Department of Molecular and Translational Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC, Australia
| | - Brendan J Jenkins
- Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, VIC, Australia
- Department of Molecular and Translational Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC, Australia
- South Australian immunoGENomics Cancer Institute (SAiGENCI), University of Adelaide, Adelaide, SA, Australia
| | - Mohamed I Saad
- Centre for Innate Immunity and Infectious Diseases, Hudson Institute of Medical Research, Clayton, VIC, Australia.
- Department of Molecular and Translational Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC, Australia.
- South Australian immunoGENomics Cancer Institute (SAiGENCI), University of Adelaide, Adelaide, SA, Australia.
| |
Collapse
|
12
|
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.
Collapse
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.
| |
Collapse
|
13
|
Nemati F, de Koning L, Gentien D, Assayag F, Henry E, Ait Rais K, Pierron G, Mariani O, Nijnikoff M, Champenois G, Nicolas A, Meseure D, Gardrat S, Servant N, Hupé P, Kamal M, Le Tourneau C, Piperno-Neumann S, Rodrigues M, Roman-Roman S, Decaudin D, Mariani P, Cassoux N. Patient Derived Xenografts (PDX) Models as an Avatar to Assess Personalized Therapy Options in Uveal Melanoma: A Feasibility Study. Curr Oncol 2023; 30:9090-9103. [PMID: 37887557 PMCID: PMC10604955 DOI: 10.3390/curroncol30100657] [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: 08/14/2023] [Revised: 09/13/2023] [Accepted: 10/09/2023] [Indexed: 10/28/2023] Open
Abstract
Uveal melanoma is the most common primary intraocular malignancy in adults. Up to 50% of UM patients develop metastatic disease, usually in the liver. When metastatic, the prognosis is poor, and few treatment options exist. Here, we investigated the feasibility of establishing patient-derived xenografts (PDXs) from a patient's tumor in order to screen for therapies that the patient could benefit from. Samples obtained from 29 primary tumors and liver metastases of uveal melanoma were grafted into SCID mice. PDX models were successfully established for 35% of primary patient tumors and 67% of liver metastases. The tumor take rate was proportional to the risk of metastases. PDXs showed the same morphology, the same GNAQ/11, BAP1, and SF3B1 mutations, and the same chromosome 3 and 8q status as the corresponding patient samples. Six PDX models were challenged with two compounds for 4 weeks. We show that, for 31% of patients with high or intermediate risk of metastasis, the timing to obtain efficacy results on PDX models derived from their primary tumors was compatible with the selection of the therapy to treat the patient after relapse. PDXs could thus be a valid tool ("avatar") to select the best personalized therapy for one third of patients that are most at risk of relapse.
Collapse
Affiliation(s)
- Fariba Nemati
- Laboratory of Preclinical Investigation, Translational Research Department, Institut Curie, PSL University Paris, 26 rue d’Ulm, CEDEX 05, 75248 Paris, France
| | - Leanne de Koning
- Translational Research Department, Institut Curie, PSL University Paris, 75248 Paris, France; (L.d.K.)
| | - David Gentien
- Genomics Platform, Translational Research Department, Institut Curie, PSL Research University, 75248 Paris, France
| | - Franck Assayag
- Laboratory of Preclinical Investigation, Translational Research Department, Institut Curie, PSL University Paris, 26 rue d’Ulm, CEDEX 05, 75248 Paris, France
| | - Emilie Henry
- Genomics Platform, Translational Research Department, Institut Curie, PSL Research University, 75248 Paris, France
| | - Khadija Ait Rais
- Department of Genetics, Institut Curie, PSL Research University, 75248 Paris, France
| | - Gaelle Pierron
- Department of Genetics, Institut Curie, PSL Research University, 75248 Paris, France
| | - Odette Mariani
- Biological Resource Center, Department of Pathology, Institut Curie, PSL Research University, 75248 Paris, France
| | - Michèle Nijnikoff
- Biological Resource Center, Department of Pathology, Institut Curie, PSL Research University, 75248 Paris, France
| | - Gabriel Champenois
- Department of Biopathology, Institut Curie, PSL Research University, 75248 Paris, France
| | - André Nicolas
- Department of Biopathology, Institut Curie, PSL Research University, 75248 Paris, France
| | - Didier Meseure
- Department of Biopathology, Institut Curie, PSL Research University, 75248 Paris, France
| | - Sophie Gardrat
- Department of Biopathology, Institut Curie, PSL Research University, 75248 Paris, France
| | - Nicolas Servant
- Institut Curie, INSERM U900, CBIO-Centre for Computational Biology, Mines Paris Tech, PSL-Research University, 75248 Paris, France
| | - Philippe Hupé
- Institut Curie, INSERM U900, CBIO-Centre for Computational Biology, Mines Paris Tech, PSL-Research University, 75248 Paris, France
| | - Maud Kamal
- Department of Drug Development and Innovation (D3i), Institut Curie, 75248 Paris, France
| | - Christophe Le Tourneau
- Department of Drug Development and Innovation (D3i), Institut Curie, 75248 Paris, France
- INSERM U900 Research Unit, Institut Curie, 92064 Saint-Cloud, France
- Paris-Saclay University, 75248 Paris, France
| | - Sophie Piperno-Neumann
- Department of Medical Oncology, Institut Curie, PSL Research University, 75248 Paris, France
| | - Manuel Rodrigues
- Department of Medical Oncology, Institut Curie, PSL Research University, 75248 Paris, France
| | - Sergio Roman-Roman
- Translational Research Department, Institut Curie, PSL University Paris, 75248 Paris, France; (L.d.K.)
| | - Didier Decaudin
- Laboratory of Preclinical Investigation, Translational Research Department, Institut Curie, PSL University Paris, 26 rue d’Ulm, CEDEX 05, 75248 Paris, France
- Department of Medical Oncology, Institut Curie, PSL Research University, 75248 Paris, France
| | - Pascale Mariani
- Department of Surgical Oncology, Institut Curie, PSL Research University, 75248 Paris, France
| | - Nathalie Cassoux
- Department of Oncological Ophthalmology, Institut Curie, Université Paris Cité, 75248 Paris, France
| |
Collapse
|
14
|
Dong Y, Chen Y, Ma G, Cao H. The role of E3 ubiquitin ligases in bone homeostasis and related diseases. Acta Pharm Sin B 2023; 13:3963-3987. [PMID: 37799379 PMCID: PMC10547920 DOI: 10.1016/j.apsb.2023.06.016] [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: 02/09/2022] [Revised: 05/16/2023] [Accepted: 05/18/2023] [Indexed: 10/07/2023] Open
Abstract
The ubiquitin-proteasome system (UPS) dedicates to degrade intracellular proteins to modulate demic homeostasis and functions of organisms. These enzymatic cascades mark and modifies target proteins diversly through covalently binding ubiquitin molecules. In the UPS, E3 ubiquitin ligases are the crucial constituents by the advantage of recognizing and presenting proteins to proteasomes for proteolysis. As the major regulators of protein homeostasis, E3 ligases are indispensable to proper cell manners in diverse systems, and they are well described in physiological bone growth and bone metabolism. Pathologically, classic bone-related diseases such as metabolic bone diseases, arthritis, bone neoplasms and bone metastasis of the tumor, etc., were also depicted in a UPS-dependent manner. Therefore, skeletal system is versatilely regulated by UPS and it is worthy to summarize the underlying mechanism. Furthermore, based on the current status of treatment, normal or pathological osteogenesis and tumorigenesis elaborated in this review highlight the clinical significance of UPS research. As a strategy possibly remedies the limitations of UPS treatment, emerging PROTAC was described comprehensively to illustrate its potential in clinical application. Altogether, the purpose of this review aims to provide more evidence for exploiting novel therapeutic strategies based on UPS for bone associated diseases.
Collapse
Affiliation(s)
| | | | - Guixing Ma
- Department of Biochemistry, School of Medicine, Southern University of Science and Technology, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Key University Laboratory of Metabolism and Health of Guangdong, Shenzhen 518055, China
| | - Huiling Cao
- Department of Biochemistry, School of Medicine, Southern University of Science and Technology, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Key University Laboratory of Metabolism and Health of Guangdong, Shenzhen 518055, China
| |
Collapse
|
15
|
Strope BS, Pendleton KE, Bowie WZ, Echeverria GV, Zhu Q. Xenomake: a pipeline for processing and sorting xenograft reads from spatial transcriptomic experiments. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.04.556109. [PMID: 37732227 PMCID: PMC10508769 DOI: 10.1101/2023.09.04.556109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
Xenograft models are attractive models that mimic human tumor biology and permit one to perturb the tumor microenvironment and study its drug response. Spatially resolved transcriptomics (SRT) provide a powerful way to study the organization of xenograft models, but currently there is a lack of specialized pipeline for processing xenograft reads originated from SRT experiments. Xenomake is a standalone pipeline for the automated handling of spatial xenograft reads. Xenomake handles read processing, alignment, xenograft read sorting, quantification, and connects well with downstream spatial analysis packages. We additionally show that Xenomake can correctly assign organism specific reads, reduce sparsity of data by increasing gene counts, while maintaining biological relevance for studies.
Collapse
Affiliation(s)
- Benjamin S Strope
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Katherine E Pendleton
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - William Z Bowie
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Gloria V Echeverria
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
| | - Qian Zhu
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| |
Collapse
|
16
|
Zajac KK, Malla S, Babu RJ, Raman D, Tiwari AK. Ethnic disparities in the immune microenvironment of triple negative breast cancer and its role in therapeutic outcomes. Cancer Rep (Hoboken) 2023; 6 Suppl 1:e1779. [PMID: 36632988 PMCID: PMC10440847 DOI: 10.1002/cnr2.1779] [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: 10/18/2022] [Revised: 12/20/2022] [Accepted: 12/22/2022] [Indexed: 01/13/2023] Open
Abstract
In 2020, newly diagnosed breast cancer (BC) cases surpassed that of lung cancer among women, making it the most common female cancer globally. In spite of recent increases in incidence rates, mortality due to BC has declined since 1989. These declines have been attributed to advancements in treatment modalities as well as increased mammography surveillance. Despite these advances, African American (AA) women are 40% more likely to die from BC than Caucasian women. Multifactorial etiology has been implicated in the disparity of BC mortality rates among AA women. As an example, AA women have a disproportionate incidence of triple negative breast cancer (TNBC), which has a poor prognosis and marginal treatment options. Increasingly, the tumor microenvironment (TME) has gained relevance as it relates to primary tumor progression, metastasis and treatment possibilities. The treatment outcomes or pathological complete response (pCR) in TNBC among AA women are affected by differences in TME. The TME of AA women exhibit several variances in acellular and cellular components associated with pro-tumorigenic effects. For example, increased levels of the adipocyte-related hormone, resistin, the pro-inflammatory cytokine, IL-6, and the CC chemokine, CCL2, within the TME of AA women gives rise to an increased density of M2 macrophages, also known as tumor-associated macrophages. Elevated levels of vascular endothelial growth factor in the TME of AA women increase the vascular density or vascularity, which facilitate aggressive tumor growth and metastasis. Furthermore, a pro-tumorigenic TME is supported by increased levels of the CXC chemokine, CXCL12 that results in the recruitment of regulatory T lymphocytes (Tregs ). Due to these and other differences in the TME of AA women, precision oncology can target specific aspects of the TME that may contribute to a poorer prognosis. In addition to the discrepancies in the TME, AA women face socio-economic barriers that limit their ability to access state-of-the-art, novel therapies against metastatic TNBC. In this review, we will provide a brief overview of the tumor immune microenvironment, immune-based treatment options for TNBC and their potential to decrease health disparities due to ethnicity.
Collapse
Affiliation(s)
- Kelsee K. Zajac
- Department of Pharmacology and Experimental TherapeuticsThe University of ToledoToledoOhioUSA
| | - Saloni Malla
- Department of Pharmacology and Experimental TherapeuticsThe University of ToledoToledoOhioUSA
| | - Ramapuram Jayachandra Babu
- Department of Drug Discovery and Development, Harrison School of PharmacyAuburn UniversityAuburnAlabamaUSA
| | - Dayanidhi Raman
- Department of Cell and Cancer BiologyUniversity of Toledo Health Science CampusToledoOhioUSA
| | - Amit K. Tiwari
- Department of Pharmacology and Experimental TherapeuticsThe University of ToledoToledoOhioUSA
- Department of Cell and Cancer BiologyUniversity of Toledo Health Science CampusToledoOhioUSA
| |
Collapse
|
17
|
Serrano A, Weber T, Berthelet J, El-Saafin F, Gadipally S, Charafe-Jauffret E, Ginestier C, Mariadason JM, Oakes SR, Britt K, Naik SH, Merino D. Experimental and spontaneous metastasis assays can result in divergence in clonal architecture. Commun Biol 2023; 6:821. [PMID: 37550477 PMCID: PMC10406815 DOI: 10.1038/s42003-023-05167-5] [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: 02/01/2023] [Accepted: 07/24/2023] [Indexed: 08/09/2023] Open
Abstract
Intratumoural heterogeneity is associated with poor outcomes in breast cancer. To understand how malignant clones survive and grow in metastatic niches, in vivo models using cell lines and patient-derived xenografts (PDX) have become the gold standard. Injections of cancer cells in orthotopic sites (spontaneous metastasis assays) or into the vasculature (experimental metastasis assays) have been used interchangeably to study the metastatic cascade from early events or post-intravasation, respectively. However, less is known about how these different routes of injection impact heterogeneity. Herein we directly compared the clonality of spontaneous and experimental metastatic assays using the human cell line MDA-MB-231 and a PDX model. Genetic barcoding was used to study the fitness of the subclones in primary and metastatic sites. Using spontaneous assays, we found that intraductal injections resulted in less diverse tumours compared to other routes of injections. Using experimental metastasis assays via tail vein injection of barcoded MDA-MB-231 cells, we also observed an asymmetry in metastatic heterogeneity between lung and liver that was not observed using spontaneous metastasis assays. These results demonstrate that these assays can result in divergent clonal outputs in terms of metastatic heterogeneity and provide a better understanding of the biases inherent to each technique.
Collapse
Affiliation(s)
- Antonin Serrano
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC, 3084, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, VIC, 3086, Australia
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia
- Department of Medical Biology, The Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Tom Weber
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia
- Department of Medical Biology, The Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Jean Berthelet
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC, 3084, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, VIC, 3086, Australia
| | - Farrah El-Saafin
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC, 3084, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, VIC, 3086, Australia
| | - Sreeja Gadipally
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC, 3084, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, VIC, 3086, Australia
| | - Emmanuelle Charafe-Jauffret
- CRCM, Inserm, CNRS, Institut Paoli-Calmettes, Aix-Marseille University, Epithelial Stem Cells and Cancer Laboratory, Equipe labellisée LIGUE contre le cancer, Marseille, 13009, France
| | - Christophe Ginestier
- CRCM, Inserm, CNRS, Institut Paoli-Calmettes, Aix-Marseille University, Epithelial Stem Cells and Cancer Laboratory, Equipe labellisée LIGUE contre le cancer, Marseille, 13009, France
| | - John M Mariadason
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC, 3084, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, VIC, 3086, Australia
| | - Samantha R Oakes
- Garvan Institute of Medical Research, Darlinghurst, NSW, 2010, Australia
- St Vincent's Clinical School, UNSW Sydney, Darlinghurst, NSW, 2010, Australia
| | - Kara Britt
- Breast Cancer Risk and Prevention Lab, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, 3000, Australia
| | - Shalin H Naik
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia
- Department of Medical Biology, The Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Delphine Merino
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC, 3084, Australia.
- School of Cancer Medicine, La Trobe University, Bundoora, VIC, 3086, Australia.
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia.
- Department of Medical Biology, The Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, VIC, 3010, Australia.
| |
Collapse
|
18
|
Thakur S, Haider S, Natrajan R. Implications of tumour heterogeneity on cancer evolution and therapy resistance: lessons from breast cancer. J Pathol 2023; 260:621-636. [PMID: 37587096 DOI: 10.1002/path.6158] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 06/11/2023] [Accepted: 06/14/2023] [Indexed: 08/18/2023]
Abstract
Tumour heterogeneity is pervasive amongst many cancers and leads to disease progression, and therapy resistance. In this review, using breast cancer as an exemplar, we focus on the recent advances in understanding the interplay between tumour cells and their microenvironment using single cell sequencing and digital spatial profiling technologies. Further, we discuss the utility of lineage tracing methodologies in pre-clinical models of breast cancer, and how these are being used to unravel new therapeutic vulnerabilities and reveal biomarkers of breast cancer progression. © 2023 The Pathological Society of Great Britain and Ireland.
Collapse
Affiliation(s)
- Shefali Thakur
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Syed Haider
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Rachael Natrajan
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| |
Collapse
|
19
|
Arulraj T, Wang H, Emens LA, Santa-Maria CA, Popel AS. A transcriptome-informed QSP model of metastatic triple-negative breast cancer identifies predictive biomarkers for PD-1 inhibition. SCIENCE ADVANCES 2023; 9:eadg0289. [PMID: 37390206 PMCID: PMC10313177 DOI: 10.1126/sciadv.adg0289] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 05/26/2023] [Indexed: 07/02/2023]
Abstract
Triple-negative breast cancer (TNBC), a highly metastatic breast cancer subtype, has limited treatment options. While a small number of patients attain clinical benefit with single-agent checkpoint inhibitors, identifying these patients before the therapy remains challenging. Here, we developed a transcriptome-informed quantitative systems pharmacology model of metastatic TNBC by integrating heterogenous metastatic tumors. In silico clinical trial with an anti-PD-1 drug, pembrolizumab, predicted that several features, such as the density of antigen-presenting cells, the fraction of cytotoxic T cells in lymph nodes, and the richness of cancer clones in tumors, could serve individually as biomarkers but had a higher predictive power as combinations of two biomarkers. We showed that PD-1 inhibition neither consistently enhanced all antitumorigenic factors nor suppressed all protumorigenic factors but ultimately reduced the tumor carrying capacity. Collectively, our predictions suggest several candidate biomarkers that might effectively predict the response to pembrolizumab monotherapy and potential therapeutic targets to develop treatment strategies for metastatic TNBC.
Collapse
Affiliation(s)
- Theinmozhi Arulraj
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Hanwen Wang
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Leisha A. Emens
- University of Pittsburgh Medical Center, Hillman Cancer Center, Pittsburgh, PA, 15213, USA
| | - Cesar A. Santa-Maria
- Department of Oncology, and the Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Aleksander S. Popel
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Department of Oncology, and the Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| |
Collapse
|
20
|
Cheng Y, Zhong X, Nie X, Gu H, Wu X, Li R, Wu Y, Lv K, Leung GPH, Fu C, Lee SMY, Zhang J, Li J. Glycyrrhetinic acid suppresses breast cancer metastasis by inhibiting M2-like macrophage polarization via activating JNK1/2 signaling. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2023; 114:154757. [PMID: 37011418 DOI: 10.1016/j.phymed.2023.154757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 02/27/2023] [Accepted: 03/08/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND Breast cancer metastasis is leading cause of cancer death among women worldwide. Tumor-associated macrophages (TAMs) have been considered as potential targets for treating breast cancer metastasis because they promote tumor growth and development. Glycyrrhetinic acid (GA) is one of the most important phytochemicals of licorice which has shown promising anti-cancer efficacies in pre-clinical trials. However, the regulatory effect of GA on the polarization of TAMs remains elusive. PURPOSE To investigate the role of GA in regulating the polarization of M2 macrophages and inhibiting breast cancer metastasis, and to further explore its underlying mechanisms of action. STUDY DESIGN IL-4 / IL-13-treated RAW 264.7 and THP-1 cells were used as the M2-polarized macrophages in vitro. A 4T1 mouse breast cancer model and the tail vein breast cancer metastasis model were applied to study the effect of GA on breast cancer growth and metastasis in vivo. RESULTS In vitro studies showed that GA significantly inhibited IL-4 / IL 13-induced M2-like polarization in RAW 264.7 and THP-1 macrophages without affecting M1-like polarization. GA strongly decreased the expression of M2 macrophage markers CD206 and Arg-1, and reduced the levels of the pro-angiogenic molecules VEGF, MMP9, MMP2 and IL-10 in M2 macrophages. GA also increased the phosphorylation of JNK1/2 in M2 macrophages. Moreover, GA significantly suppressed M2 macrophage-induced cell proliferation and migration in 4T1 cancer cells and HUVECs. Interestingly, the inhibitory effects of GA on M2 macrophages were abolished by a JNK inhibitor. Animal studies showed that GA significantly suppressed tumor growth, angiogenesis, and lung metastasis in BALB/c mice bearing breast tumor. In tumor tissues, GA reduced the number of M2 macrophages but elevated the proportion of M1 macrophages, accompanied by activation of JNK signaling. Similar results were found in the tail vein breast cancer metastasis model. CONCLUSION This study demonstrated for the first time that GA could effectively suppress breast cancer growth and metastasis by inhibiting macrophage M2 polarization via activating JNK1/2 signaling. These findings indicate that GA could be served as the lead compound for the future development of anti-breast cancer drug.
Collapse
Affiliation(s)
- Yanfen Cheng
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xuemei Zhong
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xin Nie
- State Key Laboratory of Quality Research in Chinese Medicine and Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China
| | - Huan Gu
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xiaoping Wu
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Renkai Li
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Yihan Wu
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Kongpeng Lv
- Department of Interventional Radiology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - George Pak-Heng Leung
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Chaomei Fu
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Simon Ming-Yuen Lee
- State Key Laboratory of Quality Research in Chinese Medicine and Institute of Chinese Medical Sciences, University of Macau, Macao SAR, China
| | - Jinming Zhang
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
| | - Jingjing Li
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China; Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
| |
Collapse
|
21
|
Baek ML, Lee J, Pendleton KE, Berner MJ, Goff EB, Tan L, Martinez SA, Mahmud I, Wang T, Meyer MD, Lim B, Barrish JP, Porter W, Lorenzi PL, Echeverria GV. Mitochondrial structure and function adaptation in residual triple negative breast cancer cells surviving chemotherapy treatment. Oncogene 2023; 42:1117-1131. [PMID: 36813854 PMCID: PMC10069007 DOI: 10.1038/s41388-023-02596-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 01/11/2023] [Accepted: 01/16/2023] [Indexed: 02/24/2023]
Abstract
Neoadjuvant chemotherapy (NACT) used for triple negative breast cancer (TNBC) eradicates tumors in ~45% of patients. Unfortunately, TNBC patients with substantial residual cancer burden have poor metastasis free and overall survival rates. We previously demonstrated mitochondrial oxidative phosphorylation (OXPHOS) was elevated and was a unique therapeutic dependency of residual TNBC cells surviving NACT. We sought to investigate the mechanism underlying this enhanced reliance on mitochondrial metabolism. Mitochondria are morphologically plastic organelles that cycle between fission and fusion to maintain mitochondrial integrity and metabolic homeostasis. The functional impact of mitochondrial structure on metabolic output is highly context dependent. Several chemotherapy agents are conventionally used for neoadjuvant treatment of TNBC patients. Upon comparing mitochondrial effects of conventional chemotherapies, we found that DNA-damaging agents increased mitochondrial elongation, mitochondrial content, flux of glucose through the TCA cycle, and OXPHOS, whereas taxanes instead decreased mitochondrial elongation and OXPHOS. The mitochondrial effects of DNA-damaging chemotherapies were dependent on the mitochondrial inner membrane fusion protein optic atrophy 1 (OPA1). Further, we observed heightened OXPHOS, OPA1 protein levels, and mitochondrial elongation in an orthotopic patient-derived xenograft (PDX) model of residual TNBC. Pharmacologic or genetic disruption of mitochondrial fusion and fission resulted in decreased or increased OXPHOS, respectively, revealing longer mitochondria favor oxphos in TNBC cells. Using TNBC cell lines and an in vivo PDX model of residual TNBC, we found that sequential treatment with DNA-damaging chemotherapy, thus inducing mitochondrial fusion and OXPHOS, followed by MYLS22, a specific inhibitor of OPA1, was able to suppress mitochondrial fusion and OXPHOS and significantly inhibit regrowth of residual tumor cells. Our data suggest that TNBC mitochondria can optimize OXPHOS through OPA1-mediated mitochondrial fusion. These findings may provide an opportunity to overcome mitochondrial adaptations of chemoresistant TNBC.
Collapse
Affiliation(s)
- Mokryun L Baek
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
| | - Junegoo Lee
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
| | - Katherine E Pendleton
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
| | - Mariah J Berner
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
| | - Emily B Goff
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
| | - Lin Tan
- Department of Bioinformatics & Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sara A Martinez
- Department of Bioinformatics & Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Iqbal Mahmud
- Department of Bioinformatics & Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Tao Wang
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Matthew D Meyer
- Shared Equipment Authority, Rice University, Houston, TX, USA
| | - Bora Lim
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - James P Barrish
- Department of Pathology, Texas Children's Hospital, Houston, TX, USA
| | - Weston Porter
- Department of Veterinary Physiology and Pharmacology, Texas A&M University, College Station, TX, USA
| | - Philip L Lorenzi
- Department of Bioinformatics & Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gloria V Echeverria
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA.
- Dan L Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA.
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
| |
Collapse
|
22
|
Yamamoto A, Doak AE, Cheung KJ. Orchestration of Collective Migration and Metastasis by Tumor Cell Clusters. ANNUAL REVIEW OF PATHOLOGY 2023; 18:231-256. [PMID: 36207009 DOI: 10.1146/annurev-pathmechdis-031521-023557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Metastatic dissemination has lethal consequences for cancer patients. Accruing evidence supports the hypothesis that tumor cells can migrate and metastasize as clusters of cells while maintaining contacts with one another. Collective metastasis enables tumor cells to colonize secondary sites more efficiently, resist cell death, and evade the immune system. On the other hand, tumor cell clusters face unique challenges for dissemination particularly during systemic dissemination. Here, we review recent progress toward understanding how tumor cell clusters overcome these disadvantages as well as mechanisms they utilize to gain advantages throughout the metastatic process. We consider useful models for studying collective metastasis and reflect on how the study of collective metastasis suggests new opportunities for eradicating and preventing metastatic disease.
Collapse
Affiliation(s)
- Ami Yamamoto
- Translational Research Program, Public Health Sciences and Human Biology Divisions, Fred Hutchinson Cancer Center, Seattle, Washington, USA; , , .,Molecular and Cellular Biology Graduate Program, University of Washington, Seattle, Washington, USA
| | - Andrea E Doak
- Translational Research Program, Public Health Sciences and Human Biology Divisions, Fred Hutchinson Cancer Center, Seattle, Washington, USA; , , .,Molecular and Cellular Biology Graduate Program, University of Washington, Seattle, Washington, USA
| | - Kevin J Cheung
- Translational Research Program, Public Health Sciences and Human Biology Divisions, Fred Hutchinson Cancer Center, Seattle, Washington, USA; , ,
| |
Collapse
|
23
|
Petrosyan V, Dobrolecki LE, Thistlethwaite L, Lewis AN, Sallas C, Srinivasan RR, Lei JT, Kovacevic V, Obradovic P, Ellis MJ, Osborne CK, Rimawi MF, Pavlick A, Shafaee MN, Dowst H, Jain A, Saltzman AB, Malovannaya A, Marangoni E, Welm AL, Welm BE, Li S, Wulf GM, Sonzogni O, Huang C, Vasaikar S, Hilsenbeck SG, Zhang B, Milosavljevic A, Lewis MT. Identifying biomarkers of differential chemotherapy response in TNBC patient-derived xenografts with a CTD/WGCNA approach. iScience 2023; 26:105799. [PMID: 36619972 PMCID: PMC9813793 DOI: 10.1016/j.isci.2022.105799] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 07/20/2022] [Accepted: 12/08/2022] [Indexed: 12/14/2022] Open
Abstract
Although systemic chemotherapy remains the standard of care for TNBC, even combination chemotherapy is often ineffective. The identification of biomarkers for differential chemotherapy response would allow for the selection of responsive patients, thus maximizing efficacy and minimizing toxicities. Here, we leverage TNBC PDXs to identify biomarkers of response. To demonstrate their ability to function as a preclinical cohort, PDXs were characterized using DNA sequencing, transcriptomics, and proteomics to show consistency with clinical samples. We then developed a network-based approach (CTD/WGCNA) to identify biomarkers of response to carboplatin (MSI1, TMSB15A, ARHGDIB, GGT1, SV2A, SEC14L2, SERPINI1, ADAMTS20, DGKQ) and docetaxel (c, MAGED4, CERS1, ST8SIA2, KIF24, PARPBP). CTD/WGCNA multigene biomarkers are predictive in PDX datasets (RNAseq and Affymetrix) for both taxane- (docetaxel or paclitaxel) and platinum-based (carboplatin or cisplatin) response, thereby demonstrating cross-expression platform and cross-drug class robustness. These biomarkers were also predictive in clinical datasets, thus demonstrating translational potential.
Collapse
Affiliation(s)
- Varduhi Petrosyan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Lacey E. Dobrolecki
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Lillian Thistlethwaite
- Quantitative and Computational Biosciences Program, Baylor College of Medicine, Houston, TX 77030, USA
| | - Alaina N. Lewis
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Christina Sallas
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Jonathan T. Lei
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Vladimir Kovacevic
- School of Electrical Engineering, University of Belgrade, Belgrade, Serbia
| | - Predrag Obradovic
- School of Electrical Engineering, University of Belgrade, Belgrade, Serbia
| | - Matthew J. Ellis
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - C. Kent Osborne
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Mothaffar F. Rimawi
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Anne Pavlick
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Maryam Nemati Shafaee
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Heidi Dowst
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Antrix Jain
- Mass Spectrometry Proteomics Core, Baylor College of Medicine, Houston, TX 77030, USA
| | - Alexander B. Saltzman
- Mass Spectrometry Proteomics Core, Baylor College of Medicine, Houston, TX 77030, USA
| | - Anna Malovannaya
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
- Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030, USA
- Mass Spectrometry Proteomics Core, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
| | | | - Alana L. Welm
- Department of Oncological Sciences, University of Utah, Salt Lake City, UT 84112, USA
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Bryan E. Welm
- Department of Surgery, University of Utah, Salt Lake City, UT 84112, USA
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Shunqiang Li
- Division of Oncology, Washington University, St. Louis, MO 63130, USA
| | | | - Olmo Sonzogni
- Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
| | - Chen Huang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Suhas Vasaikar
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Susan G. Hilsenbeck
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Bing Zhang
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
- Quantitative and Computational Biosciences Program, Baylor College of Medicine, Houston, TX 77030, USA
| | - Aleksandar Milosavljevic
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
- Quantitative and Computational Biosciences Program, Baylor College of Medicine, Houston, TX 77030, USA
| | - Michael T. Lewis
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
- Department of Radiology, Baylor College of Medicine, Houston, TX, USA
| |
Collapse
|
24
|
Echeverria GV, Cai S, Tu Y, Shao J, Powell E, Redwood AB, Jiang Y, McCoy A, Rinkenbaugh AL, Lau R, Trevarton AJ, Fu C, Gould R, Ravenberg EE, Huo L, Candelaria R, Santiago L, Adrada BE, Lane DL, Rauch GM, Yang WT, White JB, Chang JT, Moulder SL, Symmans WF, Hilsenbeck SG, Piwnica-Worms H. Predictors of success in establishing orthotopic patient-derived xenograft models of triple negative breast cancer. NPJ Breast Cancer 2023; 9:2. [PMID: 36627285 PMCID: PMC9831981 DOI: 10.1038/s41523-022-00502-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 12/13/2022] [Indexed: 01/12/2023] Open
Abstract
Patient-derived xenograft (PDX) models of breast cancer are an effective discovery platform and tool for preclinical pharmacologic testing and biomarker identification. We established orthotopic PDX models of triple negative breast cancer (TNBC) from the primary breast tumors of patients prior to and following neoadjuvant chemotherapy (NACT) while they were enrolled in the ARTEMIS trial (NCT02276443). Serial biopsies were obtained from patients prior to treatment (pre-NACT), from poorly responsive disease after four cycles of Adriamycin and cyclophosphamide (AC, mid-NACT), and in cases of AC-resistance, after a 3-month course of different experimental therapies and/or additional chemotherapy (post-NACT). Our study cohort includes a total of 269 fine needle aspirates (FNAs) from 217 women, generating a total of 62 PDX models (overall success-rate = 23%). Success of PDX engraftment was generally higher from those cancers that proved to be treatment-resistant, whether poorly responsive to AC as determined by ultrasound measurements mid-NACT (p = 0.063), RCB II/III status after NACT (p = 0.046), or metastatic relapse within 2 years of surgery (p = 0.008). TNBC molecular subtype determined from gene expression microarrays of pre-NACT tumors revealed no significant association with PDX engraftment rate (p = 0.877). Finally, we developed a statistical model predictive of PDX engraftment using percent Ki67 positive cells in the patient's diagnostic biopsy, positive lymph node status at diagnosis, and low volumetric reduction of the patient's tumor following AC treatment. This novel bank of 62 PDX models of TNBC provides a valuable resource for biomarker discovery and preclinical therapeutic trials aimed at improving neoadjuvant response rates for patients with TNBC.
Collapse
Affiliation(s)
- Gloria V Echeverria
- Department of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
- Lester and Sue Smith Breast Cancer Center and Department of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA.
| | - Shirong Cai
- Department of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Yizheng Tu
- Department of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Jiansu Shao
- Department of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Emily Powell
- Department of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Abena B Redwood
- Department of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Yan Jiang
- Department of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Aaron McCoy
- Department of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Amanda L Rinkenbaugh
- Department of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Rosanna Lau
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Alexander J Trevarton
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Chunxiao Fu
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Rebekah Gould
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Elizabeth E Ravenberg
- Department of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Lei Huo
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Rosalind Candelaria
- Department of Breast Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Lumarie Santiago
- Department of Breast Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Beatriz E Adrada
- Department of Breast Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Deanna L Lane
- Department of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Gaiane M Rauch
- Department of Abdominal Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Wei T Yang
- Department of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Jason B White
- Department of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Jeffrey T Chang
- Department of Integrative Biology and Pharmacology, University of Texas Health Science Center, Houston, TX, 77030, USA
| | - Stacy L Moulder
- Department of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - W Fraser Symmans
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Susan G Hilsenbeck
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Helen Piwnica-Worms
- Department of Experimental Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
| |
Collapse
|
25
|
Andrade de Oliveira K, Sengupta S, Yadav AK, Clarke R. The complex nature of heterogeneity and its roles in breast cancer biology and therapeutic responsiveness. Front Endocrinol (Lausanne) 2023; 14:1083048. [PMID: 36909339 PMCID: PMC9997040 DOI: 10.3389/fendo.2023.1083048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 02/02/2023] [Indexed: 02/25/2023] Open
Abstract
Heterogeneity is a complex feature of cells and tissues with many interacting components. Depending on the nature of the research context, interacting features of cellular, drug response, genetic, molecular, spatial, temporal, and vascular heterogeneity may be present. We describe the various forms of heterogeneity with examples of their interactions and how they play a role in affecting cellular phenotype and drug responses in breast cancer. While cellular heterogeneity may be the most widely described and invoked, many forms of heterogeneity are evident within the tumor microenvironment and affect responses to the endocrine and cytotoxic drugs widely used in standard clinical care. Drug response heterogeneity is a critical determinant of clinical response and curative potential and also is multifaceted when encountered. The interactive nature of some forms of heterogeneity is readily apparent. For example, the process of metastasis has the properties of both temporal and spatial heterogeneity within the host, whereas each individual metastatic deposit may exhibit cellular, genetic, molecular, and vascular heterogeneity. This review describes the many forms of heterogeneity, their integrated activities, and offers some insights into how heterogeneity may be understood and studied in the future.
Collapse
Affiliation(s)
- Karla Andrade de Oliveira
- The Hormel Institute, University of Minnesota, Austin, MN, United States
- Department of Biochemistry and Pharmacology, Universidade Federal do Piaui, Piauí, Brazil
| | - Surojeet Sengupta
- The Hormel Institute, University of Minnesota, Austin, MN, United States
| | - Anil Kumar Yadav
- The Hormel Institute, University of Minnesota, Austin, MN, United States
| | - Robert Clarke
- The Hormel Institute, University of Minnesota, Austin, MN, United States
- *Correspondence: Robert Clarke,
| |
Collapse
|
26
|
Zhu W, Qian W, Liao W, Huang X, Xu J, Qu W, Xue J, Feng F, Liu W, Liu F, Han L. Non-Invasive and Real-Time Monitoring of the Breast Cancer Metastasis Degree via Metabolomics. Cancers (Basel) 2022; 14:cancers14225589. [PMID: 36428687 PMCID: PMC9688400 DOI: 10.3390/cancers14225589] [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: 07/28/2022] [Revised: 09/19/2022] [Accepted: 10/07/2022] [Indexed: 11/16/2022] Open
Abstract
Breast cancer (BC) is a serious threat to women's health and metastasis is the major cause of BC-associated mortality. Various techniques are currently used to preoperatively describe the metastatic status of tumors, based on which a comprehensive treatment protocol was determined. However, accurately staging a tumor before surgery remains a challenge, which may lead to the miss of optimal treatment options. More severely, the failure to detect and remove occult micrometastases often causes tumor recurrences. There is an urgent need to develop a more precise and non-invasive strategy for the detection of the tumor metastasis in lymph nodes and distant organs. Based on the facts that tumor metastasis is closely related to the primary tumor microenvironment (TME) evolutions and that metabolomics profiling of the circulatory system can precisely reflect subtle changes within TME, we suppose whether metabolomic technology can be used to achieve non-invasive and real-time monitoring of BC metastatic status. In this study, the metastasis status of BC mouse models with different tumor-bearing times was firstly depicted to mimic clinical anatomic TNM staging system. Metabolomic profiling together with metastasis-related changes in TME among tumor-bearing mice with different metastatic status was conducted. A range of differential metabolites reflecting tumor metastatic states were screened and in vivo experiments proved that two main metastasis-driving factors in TME, TGF-β and hypoxia, were closely related to the regular changes of these metabolites. The differential metabolites level changes were also preliminarily confirmed in a limited number of clinical BC samples. Metabolite lysoPC (16:0) was found to be useful for clinical N stage diagnosis and the possible cause of its changes was analyzed by bioinformatics techniques.
Collapse
Affiliation(s)
- Wanfang Zhu
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China
- College of Pharmacy, Changchun University of Chinese Medicine, Changchun 130117, China
| | - Wenxin Qian
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China
| | - Wenting Liao
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China
| | - Xiaoxian Huang
- Department of Natural Medicinal Chemistry, China Pharmaceutical University, Nanjing 210009, China
| | - Jiawen Xu
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China
| | - Wei Qu
- Department of Natural Medicinal Chemistry, China Pharmaceutical University, Nanjing 210009, China
| | - Jingwei Xue
- Tumor Precise Intervention and Translational Medicine Laboratory, The Affiliated Taian City Central Hospital of Qingdao University, Tai’an 271000, China
| | - Feng Feng
- Department of Natural Medicinal Chemistry, China Pharmaceutical University, Nanjing 210009, China
- School of Pharmacy, Nanjing Medical University, Nanjing 210029, China
| | - Wenyuan Liu
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China
- Zhejiang Center for Safety Study of Drug Substances (Industrial Technology Innovation Platform), Hangzhou 310018, China
| | - Fulei Liu
- Tumor Precise Intervention and Translational Medicine Laboratory, The Affiliated Taian City Central Hospital of Qingdao University, Tai’an 271000, China
- Pharmaceutical Department, The Affiliated Taian City Central Hospital of Qingdao University, Tai’an 271000, China
- Correspondence: (F.L.); (L.H.)
| | - Lingfei Han
- Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing 210009, China
- Correspondence: (F.L.); (L.H.)
| |
Collapse
|
27
|
DNA barcoding reveals ongoing immunoediting of clonal cancer populations during metastatic progression and immunotherapy response. Nat Commun 2022; 13:6539. [PMID: 36344500 PMCID: PMC9640547 DOI: 10.1038/s41467-022-34041-x] [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: 02/15/2021] [Accepted: 10/11/2022] [Indexed: 11/09/2022] Open
Abstract
Cancers evade the immune system through the process of cancer immunoediting. While immune checkpoint inhibitors are effective for reactivating tumour immunity in some cancer types, many other solid cancers, including breast cancer, remain largely non-responsive. Understanding how non-responsive cancers evade immunity and whether this occurs at the clonal level will improve immunotherapeutic design. Here we use DNA barcoding to track murine mammary cancer cell clones during immunoediting and determine clonal transcriptional profiles that allow immune evasion following anti-PD1 plus anti-CTLA4 immunotherapy. Clonal diversity is significantly restricted by immunotherapy treatment in both primary tumours and metastases, demonstrating selection for pre-existing breast cancer cell populations and ongoing immunoediting during metastasis and treatment. Immunotherapy resistant clones express a common gene signature associated with poor survival of basal-like breast cancer patient cohorts. At least one of these genes has an existing small molecule that can potentially be used to improve immunotherapy response.
Collapse
|
28
|
Serrano A, Berthelet J, Naik SH, Merino D. Mastering the use of cellular barcoding to explore cancer heterogeneity. Nat Rev Cancer 2022; 22:609-624. [PMID: 35982229 DOI: 10.1038/s41568-022-00500-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/13/2022] [Indexed: 11/09/2022]
Abstract
Tumours are often composed of a multitude of malignant clones that are genomically unique, and only a few of them may have the ability to escape cancer therapy and grow as symptomatic lesions. As a result, tumours with a large degree of genomic diversity have a higher chance of leading to patient death. However, clonal fate can be driven by non-genomic features. In this context, new technologies are emerging not only to track the spatiotemporal fate of individual cells and their progeny but also to study their molecular features using various omics analysis. In particular, the recent development of cellular barcoding facilitates the labelling of tens to millions of cancer clones and enables the identification of the complex mechanisms associated with clonal fate in different microenvironments and in response to therapy. In this Review, we highlight the recent discoveries made using lentiviral-based cellular barcoding techniques, namely genetic and optical barcoding. We also emphasize the strengths and limitations of each of these technologies and discuss some of the key concepts that must be taken into consideration when one is designing barcoding experiments. Finally, we suggest new directions to further improve the use of these technologies in cancer research.
Collapse
Affiliation(s)
- Antonin Serrano
- Olivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, Victoria, Australia
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, Victoria, Australia
| | - Jean Berthelet
- Olivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, Victoria, Australia
| | - Shalin H Naik
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, Victoria, Australia
| | - Delphine Merino
- Olivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia.
- School of Cancer Medicine, La Trobe University, Bundoora, Victoria, Australia.
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
- Department of Medical Biology, Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Parkville, Victoria, Australia.
| |
Collapse
|
29
|
Yam C, Abuhadra N, Sun R, Adrada BE, Ding QQ, White JB, Ravenberg EE, Clayborn AR, Valero V, Tripathy D, Damodaran S, Arun BK, Litton JK, Ueno NT, Murthy RK, Lim B, Baez L, Li X, Buzdar AU, Hortobagyi GN, Thompson AM, Mittendorf EA, Rauch GM, Candelaria RP, Huo L, Moulder SL, Chang JT. Molecular Characterization and Prospective Evaluation of Pathologic Response and Outcomes with Neoadjuvant Therapy in Metaplastic Triple-Negative Breast Cancer. Clin Cancer Res 2022; 28:2878-2889. [PMID: 35507014 PMCID: PMC9250637 DOI: 10.1158/1078-0432.ccr-21-3100] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 02/28/2022] [Accepted: 04/29/2022] [Indexed: 01/03/2023]
Abstract
PURPOSE Metaplastic breast cancer (MpBC) is a rare subtype of breast cancer that is commonly triple-negative and poorly responsive to neoadjuvant therapy in retrospective studies. EXPERIMENTAL DESIGN To better define clinical outcomes and correlates of response, we analyzed the rate of pathologic complete response (pCR) to neoadjuvant therapy, survival outcomes, and genomic and transcriptomic profiles of the pretreatment tumors in a prospective clinical trial (NCT02276443). A total of 211 patients with triple-negative breast cancer (TNBC), including 39 with MpBC, received doxorubicin-cyclophosphamide-based neoadjuvant therapy. RESULTS Although not meeting the threshold for statistical significance, patients with MpBCs were less likely to experience a pCR (23% vs. 40%; P = 0.07), had shorter event-free survival (29.4 vs. 32.2 months, P = 0.15), metastasis-free survival (30.3 vs. 32.4 months, P = 0.22); and overall survival (32.6 vs. 34.3 months, P = 0.21). This heterogeneity is mirrored in the molecular profiling. Mutations in PI3KCA (23% vs. 9%, P = 0.07) and its pathway (41% vs. 18%, P = 0.02) were frequently observed and enriched in MpBCs. The gene expression profiles of each histologically defined subtype were distinguishable and characterized by distinctive gene signatures. Among nonmetaplastic (non-Mp) TNBCs, 10% possessed a metaplastic-like gene expression signature and had pCR rates and survival outcomes similar to MpBC. CONCLUSIONS Further investigations will determine if metaplastic-like tumors should be treated more similarly to MpBC in the clinic. The 23% pCR rate in this study suggests that patients with MpBC should be considered for NAT. To improve this rate, a pathway analysis predicted enrichment of histone deacetylase (HDAC) and RTK/MAPK pathways in MpBC, which may serve as new targetable vulnerabilities.
Collapse
Affiliation(s)
- Clinton Yam
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nour Abuhadra
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ryan Sun
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Beatriz E. Adrada
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Qing-Qing Ding
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jason B. White
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elizabeth E. Ravenberg
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alyson R. Clayborn
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Vicente Valero
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Debu Tripathy
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Senthilkumar Damodaran
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Banu K. Arun
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jennifer K. Litton
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Naoto T. Ueno
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Rashmi K. Murthy
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bora Lim
- Department of Oncology, Baylor College of Medicine, Houston, TX, USA
| | - Luis Baez
- PROncology (Private Practice), University of Puerto Rico. San Juan, Puerto Rico
| | - Xiaoxian Li
- Department of Pathology & Laboratory Medicine, Winship Cancer Institute - Emory University Hospital, Atlanta, GA, USA
| | - Aman U. Buzdar
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gabriel N. Hortobagyi
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alistair M. Thompson
- Division of Surgical Oncology, Section of Breast Surgery, Baylor College of Medicine, Houston, TX, USA
| | - Elizabeth A. Mittendorf
- Division of Breast Surgery, Department of Surgery, Brigham and Women’s Hospital, Boston, MD, USA.,Breast Oncology Program, Dana-Farber/Brigham and Women’s Cancer Center, Boston, MA, USA
| | - Gaiane M. Rauch
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Rosalind P. Candelaria
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lei Huo
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Stacy L. Moulder
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jeffrey T. Chang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Department of Integrative Biology and Pharmacology, The University of Texas Health Science Center at Houston, TX, USA
| |
Collapse
|
30
|
Aalam S, Tang X, Song J, Ray U, Russell S, Weroha S, Bakkum-Gamez J, Shridhar V, Sherman M, Eaves C, Knapp DJHF, Kalari K, Kannan N. DNA barcoded competitive clone-initiating cell analysis reveals novel features of metastatic growth in a cancer xenograft model. NAR Cancer 2022; 4:zcac022. [PMID: 35875052 PMCID: PMC9303272 DOI: 10.1093/narcan/zcac022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 06/17/2022] [Accepted: 06/24/2022] [Indexed: 12/02/2022] Open
Abstract
A problematic feature of many human cancers is a lack of understanding of mechanisms controlling organ-specific patterns of metastasis, despite recent progress in identifying many mutations and transcriptional programs shown to confer this potential. To address this gap, we developed a methodology that enables different aspects of the metastatic process to be comprehensively characterized at a clonal resolution. Our approach exploits the application of a computational pipeline to analyze and visualize clonal data obtained from transplant experiments in which a cellular DNA barcoding strategy is used to distinguish the separate clonal contributions of two or more competing cell populations. To illustrate the power of this methodology, we demonstrate its ability to discriminate the metastatic behavior in immunodeficient mice of a well-established human metastatic cancer cell line and its co-transplanted LRRC15 knockdown derivative. We also show how the use of machine learning to quantify clone-initiating cell (CIC) numbers and their subsequent metastatic progeny generated in different sites can reveal previously unknown relationships between different cellular genotypes and their initial sites of implantation with their subsequent respective dissemination patterns. These findings underscore the potential of such combined genomic and computational methodologies to identify new clonally-relevant drivers of site-specific patterns of metastasis.
Collapse
Affiliation(s)
- Syed Mohammed Musheer Aalam
- Division of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic , Rochester, MN, USA
| | - Xiaojia Tang
- Department of Health Sciences Research, Mayo Clinic , Rochester, MN, USA
| | - Jianning Song
- Division of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic , Rochester, MN, USA
| | - Upasana Ray
- Division of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic , Rochester, MN, USA
| | | | - S John Weroha
- Department of Oncology, Mayo Clinic , Rochester, MN, USA
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic , Rochester, MN, USA
| | - Jamie Bakkum-Gamez
- Division of Gynecologic Oncology Surgery, Department of Obstetrics and Gynecology, Mayo Clinic , Rochester, MN, USA
| | - Viji Shridhar
- Division of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic , Rochester, MN, USA
| | - Mark E Sherman
- Department of Quantitative Health Sciences, Mayo Clinic , Jacksonville, FL, USA
| | - Connie J Eaves
- Terry Fox Laboratory, British Columbia Cancer Research Institute , Vancouver, BC, Canada
- Departments of Medical Genetics and School of Biomedical Engineering, University of British Columbia , Vancouver, BC, Canada
| | - David J H F Knapp
- Division of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic , Rochester, MN, USA
- Institut de Recherche en Immunologie et Cancérologie, and Département de Pathologie et Biologie Cellulaire, Université de Montréal , Montreal, QC, Canada
| | - Krishna R Kalari
- Department of Health Sciences Research, Mayo Clinic , Rochester, MN, USA
| | - Nagarajan Kannan
- Division of Experimental Pathology and Laboratory Medicine, Department of Laboratory Medicine and Pathology, Mayo Clinic , Rochester, MN, USA
- Mayo Clinic Cancer Center, Mayo Clinic , Rochester, MN, USA
- Center for Regenerative Medicine, Mayo Clinic , Rochester, MN, USA
| |
Collapse
|
31
|
Vitos N, Gerlee P. Model-based inference of metastatic seeding rates in de novo metastatic breast cancer reveals the impact of secondary seeding and molecular subtype. Sci Rep 2022; 12:9455. [PMID: 35676303 PMCID: PMC9177582 DOI: 10.1038/s41598-022-12500-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 03/08/2022] [Indexed: 11/25/2022] Open
Abstract
We present a stochastic network model of metastasis spread for de novo metastatic breast cancer, composed of tumor to metastasis (primary seeding) and metastasis to metastasis spread (secondary seeding), parameterized using the SEER (Surveillance, Epidemiology, and End Results) database. The model provides a quantification of tumor cell dissemination rates between the tumor and metastasis sites. These rates were used to estimate the probability of developing a metastasis for untreated patients. The model was validated using tenfold cross-validation. We also investigated the effect of HER2 (Human Epidermal Growth Factor Receptor 2) status, estrogen receptor (ER) status and progesterone receptor (PR) status on the probability of metastatic spread. We found that dissemination rate through secondary seeding is up to 300 times higher than through primary seeding. Hormone receptor positivity promotes seeding to the bone and reduces seeding to the lungs and primary seeding to the liver, while HER2 expression increases dissemination to the bone, lungs and primary seeding to the liver. Secondary seeding from the lungs to the liver seems to be hormone receptor-independent, while that from the lungs to the brain appears HER2-independent.
Collapse
Affiliation(s)
- Noemi Vitos
- Bla Kustens Halsocentral, 57251, Oskarshamn, Sweden
| | - Philip Gerlee
- Mathematical Sciences, Chalmers University of Technology, 41296, Gothenburg, Sweden. .,Mathematical Sciences, University of Gothenburg, 41296, Gothenburg, Sweden.
| |
Collapse
|
32
|
Nakayama J, Matsunaga H, Arikawa K, Yoda T, Hosokawa M, Takeyama H, Yamamoto Y, Semba K. Identification of two cancer stem cell-like populations in triple-negative breast cancer xenografts. Dis Model Mech 2022; 15:275514. [PMID: 35611554 PMCID: PMC9235877 DOI: 10.1242/dmm.049538] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 05/16/2022] [Indexed: 11/24/2022] Open
Abstract
Gene expression analysis at the single-cell level by next-generation sequencing has revealed the existence of clonal dissemination and microheterogeneity in cancer metastasis. The current spatial analysis technologies can elucidate the heterogeneity of cell–cell interactions in situ. To reveal the regional and expressional heterogeneity in primary tumors and metastases, we performed transcriptomic analysis of microtissues dissected from a triple-negative breast cancer (TNBC) cell line MDA-MB-231 xenograft model with our automated tissue microdissection punching technology. This multiple-microtissue transcriptome analysis revealed three cancer cell-type clusters in the primary tumor and axillary lymph node metastasis, two of which were cancer stem cell (CSC)-like clusters (CD44/MYC-high, HMGA1-high). Reanalysis of public single-cell RNA-sequencing datasets confirmed that the two CSC-like populations existed in TNBC xenograft models and in TNBC patients. The diversity of these multiple CSC-like populations could cause differential anticancer drug resistance, increasing the difficulty of curing this cancer. Summary: We identified two types of cancer stem cell (CSC)-like populations in triple-negative breast cancer xenografts and patients. These CSC-like populations could potentially make tumors more drug resistant and thus more difficult to treat.
Collapse
Affiliation(s)
- Jun Nakayama
- Laboratory of Integrative Oncology, National Cancer Center Research Institute, Tokyo 104-0045, Japan.,Department of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, Tokyo 162-8480, Japan.,Computational Bio-Big Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo 169-8555, Japan
| | - Hiroko Matsunaga
- Research Organization for Nano & Life Innovation, Waseda University, Tokyo 169-8555, Japan
| | - Koji Arikawa
- Computational Bio-Big Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo 169-8555, Japan.,Research Organization for Nano & Life Innovation, Waseda University, Tokyo 169-8555, Japan
| | - Takuya Yoda
- Department of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, Tokyo 162-8480, Japan.,Research Organization for Nano & Life Innovation, Waseda University, Tokyo 169-8555, Japan
| | - Masahito Hosokawa
- Department of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, Tokyo 162-8480, Japan.,Computational Bio-Big Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo 169-8555, Japan.,Research Organization for Nano & Life Innovation, Waseda University, Tokyo 169-8555, Japan
| | - Haruko Takeyama
- Department of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, Tokyo 162-8480, Japan.,Computational Bio-Big Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology (AIST), Tokyo 169-8555, Japan.,Research Organization for Nano & Life Innovation, Waseda University, Tokyo 169-8555, Japan
| | - Yusuke Yamamoto
- Laboratory of Integrative Oncology, National Cancer Center Research Institute, Tokyo 104-0045, Japan
| | - Kentaro Semba
- Department of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, Tokyo 162-8480, Japan.,Translational Research Center, Fukushima Medical University, Fukushima 960-1295, Japan
| |
Collapse
|
33
|
Liu X, Ge Z, Yang F, Contreras A, Lee S, White JB, Lu Y, Labrie M, Arun BK, Moulder SL, Mills GB, Piwnica-Worms H, Litton JK, Chang JT. Identification of biomarkers of response to preoperative talazoparib monotherapy in treatment naïve gBRCA+ breast cancers. NPJ Breast Cancer 2022; 8:64. [PMID: 35538088 PMCID: PMC9090765 DOI: 10.1038/s41523-022-00427-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 04/12/2022] [Indexed: 11/24/2022] Open
Abstract
Germline mutations in BRCA1 or BRCA2 exist in ~2–7% of breast cancer patients, which has led to the approval of PARP inhibitors in the advanced setting. We have previously reported a phase II neoadjuvant trial of single agent talazoparib for patients with germline BRCA pathogenic variants with a pathologic complete response (pCR) rate of 53%. As nearly half of the patients treated did not have pCR, better strategies are needed to overcome treatment resistance. To this end, we conducted multi-omic analysis of 13 treatment naïve breast cancer tumors from patients that went on to receive single-agent neoadjuvant talazoparib. We looked for biomarkers that were predictive of response (assessed by residual cancer burden) after 6 months of therapy. We found that all resistant tumors exhibited either the loss of SHLD2, expression of a hypoxia signature, or expression of a stem cell signature. These results indicate that the deep analysis of pre-treatment tumors can identify biomarkers that are predictive of response to talazoparib and potentially other PARP inhibitors, and provides a framework that will allow for better selection of patients for treatment, as well as a roadmap for the development of novel combination therapies to prevent emergence of resistance.
Collapse
Affiliation(s)
- Xuan Liu
- Department of Integrative Biology and Pharmacology, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Zhongqi Ge
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Fei Yang
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alejandro Contreras
- Department of Anatomical Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sanghoon Lee
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jason B White
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yiling Lu
- Department of Genome Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marilyne Labrie
- Department of Cell, Developmental, and Cancer Biology, Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA
| | - Banu K Arun
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Stacy L Moulder
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gordon B Mills
- Department of Cell, Developmental, and Cancer Biology, Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA
| | - Helen Piwnica-Worms
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jennifer K Litton
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jeffrey T Chang
- Department of Integrative Biology and Pharmacology, University of Texas Health Science Center at Houston, Houston, TX, USA. .,Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| |
Collapse
|
34
|
A Cell Double-Barcoding System for Quantitative Evaluation of Primary Tumors and Metastasis in Animals That Uncovers Clonal-Specific Anti-Cancer Drug Effects. Cancers (Basel) 2022; 14:cancers14061381. [PMID: 35326533 PMCID: PMC8946264 DOI: 10.3390/cancers14061381] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 02/23/2022] [Accepted: 03/01/2022] [Indexed: 11/17/2022] Open
Abstract
Simple Summary The main problem in treating advanced cancers is a metastatic spread when individual cancer cells leave the primary tumor and colonize to distant organs. In drug development, it is important to quantitatively assess effects of novel drug candidates on both primary tumors and metastasis. Unfortunately, current methods of monitoring metastasis in mouse models have low sensitivity and are not quantitative. Here, we developed a methodology to monitor drug effects on metastasis that is quantitative and has a very high sensitivity and resolution. In fact, it allows monitoring effects of drugs on individual cancer cells in animals. Abstract Imaging in monitoring metastasis in mouse models has low sensitivity and is not quantitative. Cell DNA barcoding, demonstrating high sensitivity and resolution, allows monitoring effects of drugs on the number of tumor and metastatic clones. However, this technology is not suitable for comparison of sizes of metastatic clones in different animals, for example, drug treated and untreated, due to high biological and technical variability upon tumor and metastatic growth and isolation of barcodes from tissue DNA. However, both numbers of clones and their sizes are critical parameters for analysis of drug effects. Here we developed a modification of the barcoding approach for monitoring drug effects on tumors and metastasis that is quantitative, highly sensitive and highly reproducible. This novel cell double-barcoding system allows simultaneously following the fate of two or more cell variants or cell lines in xenograft models in vivo, and also following the fates of individual clones within each of these populations. This system allows comparing effects of drugs on different cell populations and thus normalizing drug effects by drug-resistant lines, which corrects for both biological and technical variabilities and significantly increases the reproducibility of results. Using this barcoding system, we uncovered that effects of a novel DYRK1B kinase inhibitor FX9847 on primary tumors and metastasis is clone-dependent, while a distinct drug osimertinib demonstrated clone-independent effects on cancer cell populations. Overall, a cell double-barcoding approach can significantly enrich our understanding of drug effects in basic research and preclinical studies.
Collapse
|
35
|
Schoultz E, Johansson E, Moccia C, Jakubikova I, Ravi N, Liang S, Carlsson T, Montelius M, Patyra K, Kero J, Paulsson K, Fagman H, Bergo MO, Nilsson M. Tissue architecture delineates field cancerization in BRAFV600E-induced tumor development. Dis Model Mech 2022; 15:dmm048887. [PMID: 34379110 PMCID: PMC8380047 DOI: 10.1242/dmm.048887] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 05/24/2021] [Indexed: 12/29/2022] Open
Abstract
Cancer cells hijack developmental growth mechanisms but whether tissue morphogenesis and architecture modify tumorigenesis is unknown. Here, we characterized a new mouse model of sporadic thyroid carcinogenesis based on inducible expression of BRAF carrying a Val600 Glu (V600E) point mutation (BRAFV600E) from the thyroglobulin promoter (TgCreERT2). Spontaneous activation of this Braf-mutant allele due to leaky activity of the Cre recombinase revealed that intrinsic properties of thyroid follicles determined BRAF-mutant cell fate. Papillary thyroid carcinomas developed multicentrically within a normal microenvironment. Each tumor originated from a single follicle that provided a confined space for growth of a distinct tumor phenotype. Lineage tracing revealed oligoclonal tumor development in infancy and early selection of BRAFV600E kinase inhibitor-resistant clones. Somatic mutations were few, non-recurrent and limited to advanced tumors. Female mice developed larger tumors than males, reproducing the gender difference of human thyroid cancer. These data indicate that BRAFV600E-induced tumorigenesis is spatiotemporally regulated depending on the maturity and heterogeneity of follicles. Moreover, thyroid tissue organization seems to determine whether a BRAF-mutant lineage becomes a cancerized lineage. The TgCreERT2;BrafCA/+ sporadic thyroid cancer mouse model provides a new tool to evaluate drug therapy at different stages of tumor evolution.
Collapse
Affiliation(s)
- Elin Schoultz
- Sahlgrenska Center for Cancer Research, Department of Medical Chemistry and Cell Biology, Institute of Biomedicine, University of Gothenburg, SE-40530 Göteborg, Sweden
| | - Ellen Johansson
- Sahlgrenska Center for Cancer Research, Department of Medical Chemistry and Cell Biology, Institute of Biomedicine, University of Gothenburg, SE-40530 Göteborg, Sweden
| | - Carmen Moccia
- Sahlgrenska Center for Cancer Research, Department of Medical Chemistry and Cell Biology, Institute of Biomedicine, University of Gothenburg, SE-40530 Göteborg, Sweden
| | - Iva Jakubikova
- Faculty of Medicine, Charles University, Hradec Kralove, Czech Republic
| | - Naveen Ravi
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund SE-22184, Sweden
| | - Shawn Liang
- Sahlgrenska Center for Cancer Research, Department of Medical Chemistry and Cell Biology, Institute of Biomedicine, University of Gothenburg, SE-40530 Göteborg, Sweden
| | - Therese Carlsson
- Sahlgrenska Center for Cancer Research, Department of Medical Chemistry and Cell Biology, Institute of Biomedicine, University of Gothenburg, SE-40530 Göteborg, Sweden
| | - Mikael Montelius
- Department of Radiology, Institute of Clinical Sciences, University of Gothenburg, SE-41345 Göteborg, Sweden
| | - Konrad Patyra
- Department of Endocrinology, University of Turku, Åbo FI-20521, Finland
| | - Jukka Kero
- Department of Endocrinology, University of Turku, Åbo FI-20521, Finland
| | - Kajsa Paulsson
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund SE-22184, Sweden
| | - Henrik Fagman
- Sahlgrenska Center for Cancer Research, Department of Medical Chemistry and Cell Biology, Institute of Biomedicine, University of Gothenburg, SE-40530 Göteborg, Sweden
- Department of Clinical Pathology, Sahlgrenska University Hospital, Göteborg SE-41345, Sweden
| | - Martin O. Bergo
- Department of Biosciences and Nutrition, Karolinska Institute, Huddinge SE-14183, Sweden
| | - Mikael Nilsson
- Sahlgrenska Center for Cancer Research, Department of Medical Chemistry and Cell Biology, Institute of Biomedicine, University of Gothenburg, SE-40530 Göteborg, Sweden
| |
Collapse
|
36
|
Longitudinal Monitoring of Intra-Tumoural Heterogeneity Using Optical Barcoding of Patient-Derived Colorectal Tumour Models. Cancers (Basel) 2022; 14:cancers14030581. [PMID: 35158849 PMCID: PMC8833441 DOI: 10.3390/cancers14030581] [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: 12/22/2021] [Revised: 01/16/2022] [Accepted: 01/19/2022] [Indexed: 02/01/2023] Open
Abstract
Simple Summary Colorectal cancer (CRC) is the second most common cancer worldwide. Despite improvements in the clinical management of CRC, outcomes for those with metastatic disease remain extremely poor. One reason for this is tumour heterogeneity, which refers to the observation that each cell within complex tumour cell populations displays different genetic features and biological behaviours. Such tumour heterogeneity is known to impact treatment efficacy and promote tumour recurrence. Here, we present a multi-colour barcoding methodology that allows for different lineages of colorectal cancer cells to be identified and monitored, thus allowing for tumour heterogeneity to be quantified in real-time. We show that discrete cell lineages can be quantified by both fluorescence microscopy and flow cytometry. Using this approach, we show that the cell culture models that are traditionally used in cancer research display limited heterogeneity, whereas patient-derived organoids—which are generated from fresh tumour resections—more faithfully represent the heterogeneity observed in cancer patients. Abstract Geno- and phenotypic heterogeneity amongst cancer cell subpopulations are established drivers of treatment resistance and tumour recurrence. However, due to the technical difficulty associated with studying such intra-tumoural heterogeneity, this phenomenon is seldom interrogated in conventional cell culture models. Here, we employ a fluorescent lineage technique termed “optical barcoding” (OBC) to perform simultaneous longitudinal tracking of spatio-temporal fate in 64 patient-derived colorectal cancer subclones. To do so, patient-derived cancer cell lines and organoids were labelled with discrete combinations of reporter constructs, stably integrated into the genome and thus passed on from the founder cell to all its clonal descendants. This strategy enables the longitudinal monitoring of individual cell lineages based upon their unique optical barcodes. By designing a novel panel of six fluorescent proteins, the maximum theoretical subpopulation resolution of 64 discriminable subpopulations was achieved, greatly improving throughput compared with previous studies. We demonstrate that all subpopulations can be purified from complex clonal mixtures via flow cytometry, permitting the downstream isolation and analysis of any lineages of interest. Moreover, we outline an optimized imaging protocol that can be used to image optical barcodes in real-time, allowing for clonal dynamics to be resolved in live cells. In contrast with the limited intra-tumour heterogeneity observed in conventional 2D cell lines, the OBC technique was successfully used to quantify dynamic clonal expansions and contractions in 3D patient-derived organoids, which were previously demonstrated to better recapitulate the heterogeneity of their parental tumour material. In summary, we present OBC as a user-friendly, inexpensive, and high-throughput technique for monitoring intra-tumoural heterogeneity in in vitro cell culture models.
Collapse
|
37
|
Kuiken HJ, Dhakal S, Selfors LM, Friend CM, Zhang T, Callari M, Schackmann RCJ, Gray GK, Crowdis J, Bhang HEC, Baslan T, Stegmeier F, Gygi SP, Caldas C, Brugge JS. Clonal populations of a human TNBC model display significant functional heterogeneity and divergent growth dynamics in distinct contexts. Oncogene 2022; 41:112-124. [PMID: 34703030 PMCID: PMC8727509 DOI: 10.1038/s41388-021-02075-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 10/01/2021] [Accepted: 10/11/2021] [Indexed: 11/09/2022]
Abstract
Intratumoral heterogeneity has been described for various tumor types and models of human cancer, and can have profound effects on tumor progression and drug resistance. This study describes an in-depth analysis of molecular and functional heterogeneity among subclonal populations (SCPs) derived from a single triple-negative breast cancer cell line, including copy number analysis, whole-exome and RNA sequencing, proteome analysis, and barcode analysis of clonal dynamics, as well as functional assays. The SCPs were found to have multiple unique genetic alterations and displayed significant variation in anchorage independent growth and tumor forming ability. Analyses of clonal dynamics in SCP mixtures using DNA barcode technology revealed selection for distinct clonal populations in different in vitro and in vivo environmental contexts, demonstrating that in vitro propagation of cancer cell lines using different culture conditions can contribute to the establishment of unique strains. These analyses also revealed strong enrichment of a single SCP during the development of xenograft tumors in immune-compromised mice. This SCP displayed attenuated interferon signaling in vivo and reduced sensitivity to the antiproliferative effects of type I interferons. Reduction in interferon signaling was found to provide a selective advantage within the xenograft microenvironment specifically. In concordance with the previously described role of interferon signaling as tumor suppressor, these findings suggest that similar selective pressures may be operative in human cancer and patient-derived xenograft models.
Collapse
Affiliation(s)
- Hendrik J Kuiken
- Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA
- Ludwig Center at Harvard, Boston, MA, 02115, USA
- Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, 1066 CX, the Netherlands
| | - Sabin Dhakal
- Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA
- Ludwig Center at Harvard, Boston, MA, 02115, USA
- Inzen Therapeutics, Cambridge, MA, 02142, USA
| | - Laura M Selfors
- Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA
- Ludwig Center at Harvard, Boston, MA, 02115, USA
| | - Chandler M Friend
- Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA
- Ludwig Center at Harvard, Boston, MA, 02115, USA
| | - Tian Zhang
- Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA
| | - Maurizio Callari
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Ron C J Schackmann
- Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA
- Ludwig Center at Harvard, Boston, MA, 02115, USA
- Merus, Utrecht, 3584 CM, the Netherlands
| | - G Kenneth Gray
- Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA
- Ludwig Center at Harvard, Boston, MA, 02115, USA
| | - Jett Crowdis
- Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA
- Ludwig Center at Harvard, Boston, MA, 02115, USA
- Broad Institute, Cambridge, MA, 02142, USA
| | - Hyo-Eun C Bhang
- Department of Oncology, Novartis Institutes for Biomedical Research, Cambridge, MA, 02139, USA
- Civetta Therapeutics, Cambridge, MA, 02142, USA
| | - Timour Baslan
- Cancer Biology and Genetics Program, Memorial Sloan-Kettering Cancer Center, New York, NY, 10065, USA
| | - Frank Stegmeier
- Department of Oncology, Novartis Institutes for Biomedical Research, Cambridge, MA, 02139, USA
- KSQ Therapeutics, Inc., Cambridge, MA, 02139, USA
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA
| | - Carlos Caldas
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Joan S Brugge
- Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA.
- Ludwig Center at Harvard, Boston, MA, 02115, USA.
| |
Collapse
|
38
|
Mavrommati I, Johnson F, Echeverria GV, Natrajan R. Subclonal heterogeneity and evolution in breast cancer. NPJ Breast Cancer 2021; 7:155. [PMID: 34934048 PMCID: PMC8692469 DOI: 10.1038/s41523-021-00363-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 11/26/2021] [Indexed: 12/11/2022] Open
Abstract
Subclonal heterogeneity and evolution are characteristics of breast cancer that play a fundamental role in tumour development, progression and resistance to current therapies. In this review, we focus on the recent advances in understanding the epigenetic and transcriptomic changes that occur within breast cancer and their importance in terms of cancer development, progression and therapy resistance with a particular focus on alterations at the single-cell level. Furthermore, we highlight the utility of using single-cell tracing and molecular barcoding methodologies in preclinical models to assess disease evolution and response to therapy. We discuss how the integration of single-cell profiling from patient samples can be used in conjunction with results from preclinical models to untangle the complexities of this disease and identify biomarkers of disease progression, including measures of intra-tumour heterogeneity themselves, and how enhancing this understanding has the potential to uncover new targetable vulnerabilities in breast cancer.
Collapse
Affiliation(s)
- Ioanna Mavrommati
- grid.18886.3fThe Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Flora Johnson
- grid.18886.3fThe Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Gloria V. Echeverria
- grid.39382.330000 0001 2160 926XLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX USA ,grid.39382.330000 0001 2160 926XDepartment of Medicine, Baylor College of Medicine, Houston, TX USA ,grid.39382.330000 0001 2160 926XDan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX USA ,grid.39382.330000 0001 2160 926XDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX USA
| | - Rachael Natrajan
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK.
| |
Collapse
|
39
|
Gui P, Bivona TG. Evolution of metastasis: new tools and insights. Trends Cancer 2021; 8:98-109. [PMID: 34872888 DOI: 10.1016/j.trecan.2021.11.002] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 11/01/2021] [Accepted: 11/05/2021] [Indexed: 02/07/2023]
Abstract
Metastasis is an evolutionary process occurring across multiple organs and timescales. Due to its continuous and dynamic nature, this multifaceted process has been challenging to investigate and remains incompletely understood, in part due to the lack of tools capable of probing genomic evolution at high enough resolution. However, technological advances in genetic sequencing and editing have provided new and powerful methods to refine our understanding of the complex series of events that lead to metastatic dissemination. In this review, we summarize the latest genetic and lineage-tracing approaches developed to unravel the genetic evolution of metastasis. The findings that have emerged have enhanced our comprehension of the mechanistic trajectories and timescales of metastasis and could provide new strategies for therapy.
Collapse
Affiliation(s)
- Philippe Gui
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
| | - Trever G Bivona
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
| |
Collapse
|
40
|
Lenz G, Onzi GR, Lenz LS, Buss JH, Santos JAF, Begnini KR. The Origins of Phenotypic Heterogeneity in Cancer. Cancer Res 2021; 82:3-11. [PMID: 34785576 DOI: 10.1158/0008-5472.can-21-1940] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 09/14/2021] [Accepted: 11/10/2021] [Indexed: 11/16/2022]
Abstract
Heterogeneity is a pervasive feature of cancer, and understanding the sources and regulatory mechanisms underlying heterogeneity could provide key insights to help improve the diagnosis and treatment of cancer. In this review, we discuss the origin of heterogeneity in the phenotype of individual cancer cells. Genotype-phenotype (G-P) maps are widely used in evolutionary biology to represent the complex interactions of genes and the environment that lead to phenotypes that impact fitness. Here, we present the rationale of an extended G-P (eG-P) map with a cone structure in cancer. The eG-P cone is formed by cells that are similar at the genome layer but gradually increase variability in the epigenome, transcriptome, proteome, metabolome and signalome layers to produce large variability at the phenome layer. Experimental evidence from single-cell -omics analyses supporting the cancer eG-P cone concept is presented, and the impact of epimutations and the interaction of cancer and tumor microenvironmental eG-P cones are integrated with the current understanding of cancer biology. The eG-P cone concept uncovers potential therapeutic strategies to reduce cancer evolution and improve cancer treatment. More methods to study phenotypes in single cells will be key to better understand cancer cell fitness in tumor biology and therapeutics.
Collapse
|
41
|
Single-cell RNA sequencing reveals cell heterogeneity and transcriptome profile of breast cancer lymph node metastasis. Oncogenesis 2021; 10:66. [PMID: 34611125 PMCID: PMC8492772 DOI: 10.1038/s41389-021-00355-6] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 09/14/2021] [Accepted: 09/23/2021] [Indexed: 02/06/2023] Open
Abstract
Molecular mechanisms underlying breast cancer lymph node metastasis remain unclear. Using single-cell sequencing, we investigated the transcriptome profile of 96,796 single cells from 15 paired samples of primary tumors and axillary lymph nodes. We identified nine cancer cell subclusters including CD44 + / ALDH2 + /ALDH6A1 + breast cancer stem cells (BCSCs), which had a copy-number variants profile similar to that of normal breast tissue. Importantly, BCSCs existed only in primary tumors and evolved into metastatic clusters infiltrating into lymph nodes. Furthermore, transcriptome data suggested that NECTIN2-TIGIT-mediated interactions between metastatic breast cancer cells and tumor microenvironment (TME) cells, which promoted immune escape and lymph node metastasis. This study is the first to delineate the transcriptome profile of breast cancer lymph node metastasis using single-cell RNA sequencing. Our findings offer novel insights into the mechanisms underlying breast cancer metastasis and have implications in developing novel therapies to inhibit the initiation of breast cancer metastasis.
Collapse
|
42
|
Shah VV, Duncan AD, Jiang S, Stratton SA, Allton KL, Yam C, Jain A, Krause PM, Lu Y, Cai S, Tu Y, Zhou X, Zhang X, Jiang Y, Carroll CL, Kang Z, Liu B, Shen J, Gagea M, Manu SM, Huo L, Gilcrease M, Powell RT, Guo L, Stephan C, Davies PJ, Parker-Thornburg J, Lozano G, Behringer RR, Piwnica-Worms H, Chang JT, Moulder SL, Barton MC. Mammary-specific expression of Trim24 establishes a mouse model of human metaplastic breast cancer. Nat Commun 2021; 12:5389. [PMID: 34508101 PMCID: PMC8433435 DOI: 10.1038/s41467-021-25650-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 08/17/2021] [Indexed: 12/24/2022] Open
Abstract
Conditional overexpression of histone reader Tripartite motif containing protein 24 (TRIM24) in mouse mammary epithelia (Trim24COE) drives spontaneous development of mammary carcinosarcoma tumors, lacking ER, PR and HER2. Human carcinosarcomas or metaplastic breast cancers (MpBC) are a rare, chemorefractory subclass of triple-negative breast cancers (TNBC). Comparison of Trim24COE metaplastic carcinosarcoma morphology, TRIM24 protein levels and a derived Trim24COE gene signature reveals strong correlation with human MpBC tumors and MpBC patient-derived xenograft (PDX) models. Global and single-cell tumor profiling reveal Met as a direct oncogenic target of TRIM24, leading to aberrant PI3K/mTOR activation. Here, we find that pharmacological inhibition of these pathways in primary Trim24COE tumor cells and TRIM24-PROTAC treatment of MpBC TNBC PDX tumorspheres decreased cellular viability, suggesting potential in therapeutically targeting TRIM24 and its regulated pathways in TRIM24-expressing TNBC.
Collapse
Affiliation(s)
- Vrutant V Shah
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Aundrietta D Duncan
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Epigenetics and Molecular Carcinogenesis, Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, University of Texas, Houston, TX, USA
- Salarius Pharmaceuticals, Houston, TX, USA
| | - Shiming Jiang
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Thoracic Head and Neck Medicine Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sabrina A Stratton
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Epigenetics and Molecular Carcinogenesis, Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kendra L Allton
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The Neurodegeneration Consortium, Therapeutics Discovery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Clinton Yam
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Abhinav Jain
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Epigenetics and Molecular Carcinogenesis, Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, University of Texas, Houston, TX, USA
| | - Patrick M Krause
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yue Lu
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Epigenetics and Molecular Carcinogenesis, Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shirong Cai
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yizheng Tu
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xinhui Zhou
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xiaomei Zhang
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yan Jiang
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christopher L Carroll
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Institute of Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Zhijun Kang
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Institute of Applied Cancer Science, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bin Liu
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Epigenetics and Molecular Carcinogenesis, Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianjun Shen
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Epigenetics and Molecular Carcinogenesis, Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mihai Gagea
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Veterinary Medicine and Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sebastian M Manu
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Epigenetics and Molecular Carcinogenesis, Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lei Huo
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael Gilcrease
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Reid T Powell
- Center for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M College of Medicine, Houston, TX, USA
| | - Lei Guo
- Center for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M College of Medicine, Houston, TX, USA
| | - Clifford Stephan
- Center for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M College of Medicine, Houston, TX, USA
| | - Peter J Davies
- Center for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M College of Medicine, Houston, TX, USA
| | - Jan Parker-Thornburg
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Guillermina Lozano
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, University of Texas, Houston, TX, USA
| | - Richard R Behringer
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, University of Texas, Houston, TX, USA
| | - Helen Piwnica-Worms
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, University of Texas, Houston, TX, USA
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jeffrey T Chang
- University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, University of Texas, Houston, TX, USA.
- Department of Integrative Biology and Pharmacology, University of Texas Health Sciences Center at Houston, Houston, TX, USA.
| | - Stacy L Moulder
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Michelle Craig Barton
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- Department of Epigenetics and Molecular Carcinogenesis, Center for Cancer Epigenetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, University of Texas, Houston, TX, USA.
- Division of Oncological Sciences, Cancer Early Detection Advanced Research, Center Knight Cancer Institute Oregon Health & Science University, Portland, OR, USA.
| |
Collapse
|
43
|
Li J, Wang S, Wang N, Zheng Y, Yang B, Wang X, Zhang J, Pan B, Wang Z. Aiduqing formula inhibits breast cancer metastasis by suppressing TAM/CXCL1-induced Treg differentiation and infiltration. Cell Commun Signal 2021; 19:89. [PMID: 34461944 PMCID: PMC8404313 DOI: 10.1186/s12964-021-00775-2] [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: 04/16/2021] [Accepted: 08/08/2021] [Indexed: 12/25/2022] Open
Abstract
Background Metastasis represents the leading cause of death in patients with breast cancer. Traditional Chinese medicine is particularly appreciated for metastatic diseases in Asian countries due to its benefits for survival period prolongation and immune balance modulation. However, the underlying molecular mechanisms remain largely unknown. This study aimed to explore the antimetastatic effect and immunomodulatory function of a clinical formula Aiduqing (ADQ). Methods Naive CD4+ T cells, regulatory T cells (Tregs), and CD8+ T cells were sorted by flow cytometry. Then, breast cancer cells and these immune cells were co-cultured in vitro or co-injected into mice in vivo to simulate their coexistence. Flow cytometry, ELISA, qPCR, double luciferase reporter gene assay, and chromatin immunoprecipitation assay were conducted to investigate the immunomodulatory and antimetastatic mechanisms of ADQ. Results ADQ treatment by oral gavage significantly suppressed 4T1-Luc xenograft growth and lung metastasis in the orthotopic breast cancer mouse model, without noticeable hepatotoxicity, nephrotoxicity, or hematotoxicity. Meanwhile, ADQ remodeled the immunosuppressive tumor microenvironment (TME) by increasing the infiltration of tumor-infiltrating lymphocytes (TILs) and cytotoxic CD8+ T cells, and decreasing the infiltration of Tregs, naive CD4+ T cells, and tumor-associated macrophages (TAMs). Molecular mechanism studies revealed that ADQ remarkably inhibited CXCL1 expression and secretion from TAMs and thus suppressed the chemotaxis and differentiation of naive CD4+ T cells into Tregs, leading to the enhanced cytotoxic effects of CD8+ T cells. Mechanistically, TAM-derived CXCL1 promoted the differentiation of naive CD4+ T cells into Tregs by transcriptionally activating the NF-κB/FOXP3 signaling. Lastly, mouse 4T1-Luc xenograft experiments validated that ADQ formula inhibited breast cancer immune escape and lung metastasis by suppressing the TAM/CXCL1/Treg pathway. Conclusions This study not only provides preclinical evidence supporting the application of ADQ in inhibiting breast cancer metastasis but also sheds novel insights into TAM/CXCL1/NF-κB/FOXP3 signaling as a promising therapeutic target for Treg modulation and breast cancer immunotherapy.![]() Video Abstract
Supplementary Information The online version contains supplementary material available at 10.1186/s12964-021-00775-2.
Collapse
Affiliation(s)
- Jing Li
- The Research Center of Integrative Cancer Medicine, Discipline of Integrated Chinese and Western Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Clinical Research On Traditional Chinese Medicine Syndrome, Guangdong Provincial Academy of Chinese Medical Sciences, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, China
| | - Shengqi Wang
- The Research Center of Integrative Cancer Medicine, Discipline of Integrated Chinese and Western Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Clinical Research On Traditional Chinese Medicine Syndrome, Guangdong Provincial Academy of Chinese Medical Sciences, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, China.,Guangdong-Hong Kong-Macau Joint Lab On Chinese Medicine and Immune Disease Research, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Neng Wang
- The Research Center of Integrative Cancer Medicine, Discipline of Integrated Chinese and Western Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.,Guangdong-Hong Kong-Macau Joint Lab On Chinese Medicine and Immune Disease Research, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.,The Research Center for Integrative Medicine, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Yifeng Zheng
- The Research Center of Integrative Cancer Medicine, Discipline of Integrated Chinese and Western Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Clinical Research On Traditional Chinese Medicine Syndrome, Guangdong Provincial Academy of Chinese Medical Sciences, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, China
| | - Bowen Yang
- The Research Center of Integrative Cancer Medicine, Discipline of Integrated Chinese and Western Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Clinical Research On Traditional Chinese Medicine Syndrome, Guangdong Provincial Academy of Chinese Medical Sciences, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, China
| | - Xuan Wang
- The Research Center of Integrative Cancer Medicine, Discipline of Integrated Chinese and Western Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Clinical Research On Traditional Chinese Medicine Syndrome, Guangdong Provincial Academy of Chinese Medical Sciences, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, China
| | - Juping Zhang
- The Research Center of Integrative Cancer Medicine, Discipline of Integrated Chinese and Western Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Clinical Research On Traditional Chinese Medicine Syndrome, Guangdong Provincial Academy of Chinese Medical Sciences, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, China
| | - Bo Pan
- The Research Center of Integrative Cancer Medicine, Discipline of Integrated Chinese and Western Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Clinical Research On Traditional Chinese Medicine Syndrome, Guangdong Provincial Academy of Chinese Medical Sciences, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, China
| | - Zhiyu Wang
- The Research Center of Integrative Cancer Medicine, Discipline of Integrated Chinese and Western Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China. .,Guangdong Provincial Key Laboratory of Clinical Research On Traditional Chinese Medicine Syndrome, Guangdong Provincial Academy of Chinese Medical Sciences, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, China. .,Guangdong-Hong Kong-Macau Joint Lab On Chinese Medicine and Immune Disease Research, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China. .,The Research Center for Integrative Medicine, School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China. .,State Key Laboratory of Dampness, Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.
| |
Collapse
|
44
|
Resveratrol attenuates TNBC lung metastasis by down-regulating PD-1 expression on pulmonary T cells and converting macrophages to M1 phenotype in a murine tumor model. Cell Immunol 2021; 368:104423. [PMID: 34399171 DOI: 10.1016/j.cellimm.2021.104423] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 08/01/2021] [Accepted: 08/06/2021] [Indexed: 01/12/2023]
Abstract
Triple-negative breast cancer (TNBC) is an invasive breast cancer with the characteristics of easy to develop distant metastasis. Immune escape is one of the main reasons for TNBC growth and metastasis. Enhancement of T cell-mediated anti-tumor activity may benefit to inhibit tumor metastasis and improve the efficacy of cancer therapy. As a natural bioactive substance, resveratrol shows potential capability to prevent or suppress the development of a variety of cancers through direct or indirect effects, including immunoregulatory effect. However, whether resveratrol might affect lung metastasis of TNBC, and whether the effect of resveratrol might be associated with resveratrol-regulated immune responses in tumor microenvironment is still unknown. In this study, by using an experimental metastatic mouse 4 T1 tumor model, we identified that resveratrol may suppress TNBC lung metastasis by elevating local anti-tumor immunity. Indeed, an increase in the cytotoxic activity of CD8+T cells as well as the levels of type 1 cytokine IFN-γ and IL-2 in the lungs of resveratrol-treated tumor bearing mice were observed. The enhanced CD8+T cell activity and Th1 immune responses by resveratrol administration might be related to the down-regulated PD-1 expression on pulmonary CD8+T cells and CD4+T cells. Resveratrol may also convert macrophages to M1 phenotype in the lungs of tumor bearing mice. However, it seems likely resveratrol has no effect on pulmonary myeloid-derived suppressor cell activation. Our results provide an evidence that resveratrol might be a promising candidate agent for adjuvant therapy in the process of TNBC metastasis.
Collapse
|
45
|
Lewis SM, Asselin-Labat ML, Nguyen Q, Berthelet J, Tan X, Wimmer VC, Merino D, Rogers KL, Naik SH. Spatial omics and multiplexed imaging to explore cancer biology. Nat Methods 2021; 18:997-1012. [PMID: 34341583 DOI: 10.1038/s41592-021-01203-6] [Citation(s) in RCA: 211] [Impact Index Per Article: 70.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 06/04/2021] [Indexed: 01/19/2023]
Abstract
Understanding intratumoral heterogeneity-the molecular variation among cells within a tumor-promises to address outstanding questions in cancer biology and improve the diagnosis and treatment of specific cancer subtypes. Single-cell analyses, especially RNA sequencing and other genomics modalities, have been transformative in revealing novel biomarkers and molecular regulators associated with tumor growth, metastasis and drug resistance. However, these approaches fail to provide a complete picture of tumor biology, as information on cellular location within the tumor microenvironment is lost. New technologies leveraging multiplexed fluorescence, DNA, RNA and isotope labeling enable the detection of tens to thousands of cancer subclones or molecular biomarkers within their native spatial context. The expeditious growth in these techniques, along with methods for multiomics data integration, promises to yield a more comprehensive understanding of cell-to-cell variation within and between individual tumors. Here we provide the current state and future perspectives on the spatial technologies expected to drive the next generation of research and diagnostic and therapeutic strategies for cancer.
Collapse
Affiliation(s)
- Sabrina M Lewis
- Advanced Technology and Biology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.,Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.,Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Marie-Liesse Asselin-Labat
- Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia.,Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Quan Nguyen
- Division of Genetics and Genomics, Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Jean Berthelet
- Olivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia.,School of Cancer Medicine, La Trobe University, Bundoora, Victoria, Australia
| | - Xiao Tan
- Division of Genetics and Genomics, Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Verena C Wimmer
- Advanced Technology and Biology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.,Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Delphine Merino
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.,Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia.,Olivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia.,School of Cancer Medicine, La Trobe University, Bundoora, Victoria, Australia
| | - Kelly L Rogers
- Advanced Technology and Biology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia. .,Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia.
| | - Shalin H Naik
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia. .,Department of Medical Biology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia.
| |
Collapse
|
46
|
Wrenn E, Huang Y, Cheung K. Collective metastasis: coordinating the multicellular voyage. Clin Exp Metastasis 2021; 38:373-399. [PMID: 34254215 PMCID: PMC8346286 DOI: 10.1007/s10585-021-10111-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 06/14/2021] [Indexed: 12/16/2022]
Abstract
The metastatic process is arduous. Cancer cells must escape the confines of the primary tumor, make their way into and travel through the circulation, then survive and proliferate in unfavorable microenvironments. A key question is how cancer cells overcome these multiple barriers to orchestrate distant organ colonization. Accumulating evidence in human patients and animal models supports the hypothesis that clusters of tumor cells can complete the entire metastatic journey in a process referred to as collective metastasis. Here we highlight recent studies unraveling how multicellular coordination, via both physical and biochemical coupling of cells, induces cooperative properties advantageous for the completion of metastasis. We discuss conceptual challenges and unique mechanisms arising from collective dissemination that are distinct from single cell-based metastasis. Finally, we consider how the dissection of molecular transitions regulating collective metastasis could offer potential insight into cancer therapy.
Collapse
Affiliation(s)
- Emma Wrenn
- Translational Research Program, Public Health Sciences and Human Biology Divisions, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
- Molecular and Cellular Biology Graduate Program, University of Washington, Seattle, WA, 98195, USA
| | - Yin Huang
- Translational Research Program, Public Health Sciences and Human Biology Divisions, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Kevin Cheung
- Translational Research Program, Public Health Sciences and Human Biology Divisions, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
| |
Collapse
|
47
|
Breast cancer as an example of tumour heterogeneity and tumour cell plasticity during malignant progression. Br J Cancer 2021; 125:164-175. [PMID: 33824479 PMCID: PMC8292450 DOI: 10.1038/s41416-021-01328-7] [Citation(s) in RCA: 158] [Impact Index Per Article: 52.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 02/04/2021] [Accepted: 02/19/2021] [Indexed: 02/07/2023] Open
Abstract
Heterogeneity within a tumour increases its ability to adapt to constantly changing constraints, but adversely affects a patient's prognosis, therapy response and clinical outcome. Intratumoural heterogeneity results from a combination of extrinsic factors from the tumour microenvironment and intrinsic parameters from the cancer cells themselves, including their genetic, epigenetic and transcriptomic traits, their ability to proliferate, migrate and invade, and their stemness and plasticity attributes. Cell plasticity constitutes the ability of cancer cells to rapidly reprogramme their gene expression repertoire, to change their behaviour and identities, and to adapt to microenvironmental cues. These features also directly contribute to tumour heterogeneity and are critical for malignant tumour progression. In this article, we use breast cancer as an example of the origins of tumour heterogeneity (in particular, the mutational spectrum and clonal evolution of progressing tumours) and of tumour cell plasticity (in particular, that shown by tumour cells undergoing epithelial-to-mesenchymal transition), as well as considering interclonal cooperativity and cell plasticity as sources of cancer cell heterogeneity. We review current knowledge on the functional contribution of cell plasticity and tumour heterogeneity to malignant tumour progression, metastasis formation and therapy resistance.
Collapse
|
48
|
Berthelet J, Wimmer VC, Whitfield HJ, Serrano A, Boudier T, Mangiola S, Merdas M, El-Saafin F, Baloyan D, Wilcox J, Wilcox S, Parslow AC, Papenfuss AT, Yeo B, Ernst M, Pal B, Anderson RL, Davis MJ, Rogers KL, Hollande F, Merino D. The site of breast cancer metastases dictates their clonal composition and reversible transcriptomic profile. SCIENCE ADVANCES 2021; 7:eabf4408. [PMID: 34233875 PMCID: PMC8262813 DOI: 10.1126/sciadv.abf4408] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 05/25/2021] [Indexed: 05/03/2023]
Abstract
Intratumoral heterogeneity is a driver of breast cancer progression, but the nature of the clonal interactive network involved in this process remains unclear. Here, we optimized the use of optical barcoding to visualize and characterize 31 cancer subclones in vivo. By mapping the clonal composition of thousands of metastases in two clinically relevant sites, the lungs and liver, we found that metastases were highly polyclonal in lungs but not in the liver. Furthermore, the transcriptome of the subclones varied according to their metastatic niche. We also identified a reversible niche-driven signature that was conserved in lung and liver metastases collected during patient autopsies. Among this signature, we found that the tumor necrosis factor-α pathway was up-regulated in lung compared to liver metastases, and inhibition of this pathway affected metastasis diversity. These results highlight that the cellular and molecular heterogeneity observed in metastases is largely dictated by the tumor microenvironment.
Collapse
Affiliation(s)
- Jean Berthelet
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC 3084, Australia.
- School of Cancer Medicine, La Trobe University, Bundoora, VIC 3086, Australia
| | - Verena C Wimmer
- Advanced Technology and Biology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
- Department of Medical Biology, Faculty of Medicine, Dentistry, and Health Science, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Holly J Whitfield
- Department of Medical Biology, Faculty of Medicine, Dentistry, and Health Science, The University of Melbourne, Parkville, VIC 3010, Australia
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
| | - Antonin Serrano
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC 3084, Australia
- Department of Medical Biology, Faculty of Medicine, Dentistry, and Health Science, The University of Melbourne, Parkville, VIC 3010, Australia
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
| | - Thomas Boudier
- Advanced Technology and Biology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
- Department of Medical Biology, Faculty of Medicine, Dentistry, and Health Science, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Stefano Mangiola
- Department of Medical Biology, Faculty of Medicine, Dentistry, and Health Science, The University of Melbourne, Parkville, VIC 3010, Australia
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
| | - Michal Merdas
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC 3084, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, VIC 3086, Australia
| | - Farrah El-Saafin
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC 3084, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, VIC 3086, Australia
| | - David Baloyan
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC 3084, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, VIC 3086, Australia
| | - Jordan Wilcox
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC 3084, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, VIC 3086, Australia
| | - Steven Wilcox
- Advanced Technology and Biology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
- Department of Medical Biology, Faculty of Medicine, Dentistry, and Health Science, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Adam C Parslow
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC 3084, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, VIC 3086, Australia
| | - Anthony T Papenfuss
- Department of Medical Biology, Faculty of Medicine, Dentistry, and Health Science, The University of Melbourne, Parkville, VIC 3010, Australia
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
- Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC 3000, Australia
| | - Belinda Yeo
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC 3084, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, VIC 3086, Australia
- Austin Health, Heidelberg, VIC 3084, Australia
| | - Matthias Ernst
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC 3084, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, VIC 3086, Australia
| | - Bhupinder Pal
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC 3084, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, VIC 3086, Australia
| | - Robin L Anderson
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC 3084, Australia
- School of Cancer Medicine, La Trobe University, Bundoora, VIC 3086, Australia
- Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC 3000, Australia
| | - Melissa J Davis
- Department of Medical Biology, Faculty of Medicine, Dentistry, and Health Science, The University of Melbourne, Parkville, VIC 3010, Australia
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
- Department of Clinical Pathology, Faculty of Medicine, Dentistry, and Health Science, The University of Melbourne, Melbourne, VIC 3000, Australia
| | - Kelly L Rogers
- Advanced Technology and Biology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
- Department of Medical Biology, Faculty of Medicine, Dentistry, and Health Science, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Frédéric Hollande
- Department of Clinical Pathology, Faculty of Medicine, Dentistry, and Health Science, The University of Melbourne, Melbourne, VIC 3000, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Melbourne, VIC 3000, Australia
| | - Delphine Merino
- Olivia Newton-John Cancer Research Institute, Heidelberg, VIC 3084, Australia.
- School of Cancer Medicine, La Trobe University, Bundoora, VIC 3086, Australia
- Department of Medical Biology, Faculty of Medicine, Dentistry, and Health Science, The University of Melbourne, Parkville, VIC 3010, Australia
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
| |
Collapse
|
49
|
Patwardhan GA, Marczyk M, Wali VB, Stern DF, Pusztai L, Hatzis C. Treatment scheduling effects on the evolution of drug resistance in heterogeneous cancer cell populations. NPJ Breast Cancer 2021; 7:60. [PMID: 34040000 PMCID: PMC8154902 DOI: 10.1038/s41523-021-00270-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 04/19/2021] [Indexed: 12/12/2022] Open
Abstract
The effect of scheduling of targeted therapy combinations on drug resistance is underexplored in triple-negative breast cancer (TNBC). TNBC constitutes heterogeneous cancer cell populations the composition of which can change dynamically during treatment resulting in the selection of resistant clones with a fitness advantage. We evaluated crizotinib (ALK/MET inhibitor) and navitoclax (ABT-263; Bcl-2/Bcl-xL inhibitor) combinations in a large design consisting of 696 two-cycle sequential and concomitant treatment regimens with varying treatment dose, duration, and drug holiday length over a 26-day period in MDA-MB-231 TNBC cells and found that patterns of resistance depend on the schedule and sequence in which the drugs are given. Further, we tracked the clonal dynamics and mechanisms of resistance using DNA-integrated barcodes and single-cell RNA sequencing. Our study suggests that longer formats of treatment schedules in vitro screening assays are required to understand the effects of resistance and guide more realistically in vivo and clinical studies.
Collapse
Affiliation(s)
- Gauri A Patwardhan
- Breast Medical Oncology, Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA
| | - Michal Marczyk
- Breast Medical Oncology, Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA
- Department of Data Science and Engineering, Silesian University of Technology, Gliwice, Poland
| | - Vikram B Wali
- Breast Medical Oncology, Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA
| | - David F Stern
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Lajos Pusztai
- Breast Medical Oncology, Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA
| | - Christos Hatzis
- Breast Medical Oncology, Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA.
| |
Collapse
|
50
|
Zhang Y, Chang J, Jiang W, Ye X, Zhang S. Long non-coding RNA CASC9/microRNA-590-3p axis participates in lutein-mediated suppression of breast cancer cell proliferation. Oncol Lett 2021; 22:544. [PMID: 34084220 PMCID: PMC8161424 DOI: 10.3892/ol.2021.12805] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 04/23/2021] [Indexed: 12/16/2022] Open
Abstract
Previous studies have shown that lutein can inhibit the proliferation of breast cancer cells. However, the mechanism of lutein inhibiting the proliferation of breast cancer cells remains unclear. The present study aimed to determine whether the long non-coding RNA (lncRNA) Cancer Susceptibility 9 (CASC9)/microRNA (miR)-590-3p axis participates in the antiproliferative effects of lutein via lncRNA microarray hybridization, reverse transcription-quantitative PCR, dual-luciferase reporter and MTT assays. The results demonstrated that CASC9 was the most significantly downregulated lncRNA in MCF7 cells treated with lutein. miR-590-3p was identified as the target of CASC9. In addition, lutein downregulated CASC9 expression and upregulated miR-590-3p expression in dose- and time-dependent manners, respectively. CASC9 knockdown or overexpression of miR-590-3p inhibited the proliferation of breast cancer cells. Notably, simultaneous transfection with miR-590-3p mimics and CASC9 small interfering RNA increased the potency of lutein in inhibiting the proliferation of breast cancer cells. Taken together, these results suggest that the CASC9/miR-590-3p axis participates in the antiproliferative effects of lutein on breast cancer.
Collapse
Affiliation(s)
- Yuxia Zhang
- Department of Biochemistry and Molecular Biology, Shangqiu Medical College, Shangqiu, Henan 476100, P.R. China
| | - Jingzhi Chang
- Department of Biochemistry and Molecular Biology, Shangqiu Medical College, Shangqiu, Henan 476100, P.R. China
| | - Weiwei Jiang
- Department of Medical College, Shangqiu Institute of Technology, Shangqiu, Henan 476400, P.R. China
| | - Xin Ye
- Department of Biochemistry and Molecular Biology, Shangqiu Medical College, Shangqiu, Henan 476100, P.R. China
| | - Shanfeng Zhang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, P.R. China
| |
Collapse
|