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Maji S, Kumar A, Emdad L, Fisher PB, Das SK. Molecular landscape of prostate cancer bone metastasis. Adv Cancer Res 2024; 161:321-365. [PMID: 39032953 DOI: 10.1016/bs.acr.2024.04.007] [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: 07/23/2024]
Abstract
Prostate cancer (PC) has a high propensity to develop bone metastases, causing severe pain and pathological fractures that profoundly impact a patients' normal functions. Current clinical intervention is mainly palliative focused on pain management, and tumor progression is refractory to standard therapeutic regimens. This limited treatment efficacy is at least partially due to a lack of comprehensive understanding of the molecular landscape of the disease pathology, along with the intensive overlapping of physiological and pathological molecular signaling. The niche is overwhelmed with diverse cell types with inter- and intra-heterogeneity, along with growth factor-enriched cells that are supportive of invading cell proliferation, providing an additional layer of complexity. This review seeks to provide molecular insights into mechanisms underlying PC bone metastasis development and progression.
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Affiliation(s)
- Santanu Maji
- Department of Human and Molecular Genetics, Virginia Commonwealth University, School of Medicine, Richmond, VA, United States
| | - Amit Kumar
- Department of Human and Molecular Genetics, Virginia Commonwealth University, School of Medicine, Richmond, VA, United States
| | - Luni Emdad
- Department of Human and Molecular Genetics, Virginia Commonwealth University, School of Medicine, Richmond, VA, United States; VCU Institute of Molecular Medicine, Virginia Commonwealth University, School of Medicine, Richmond, VA, United States; VCU Massey Comprehensive Cancer Center, Virginia Commonwealth University, School of Medicine, Richmond, VA, United States
| | - Paul B Fisher
- Department of Human and Molecular Genetics, Virginia Commonwealth University, School of Medicine, Richmond, VA, United States; VCU Institute of Molecular Medicine, Virginia Commonwealth University, School of Medicine, Richmond, VA, United States; VCU Massey Comprehensive Cancer Center, Virginia Commonwealth University, School of Medicine, Richmond, VA, United States.
| | - Swadesh K Das
- Department of Human and Molecular Genetics, Virginia Commonwealth University, School of Medicine, Richmond, VA, United States; VCU Institute of Molecular Medicine, Virginia Commonwealth University, School of Medicine, Richmond, VA, United States; VCU Massey Comprehensive Cancer Center, Virginia Commonwealth University, School of Medicine, Richmond, VA, United States.
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Wang Y, Hu Y, Wang M, Wang M, Xu Y. The Role of Breast Cancer Cells in Bone Metastasis: Suitable Seeds for Nourishing Soil. Curr Osteoporos Rep 2024; 22:28-43. [PMID: 38206556 DOI: 10.1007/s11914-023-00849-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/18/2023] [Indexed: 01/12/2024]
Abstract
PURPOSE OF REVIEW The purpose of this review was to describe the characteristics of breast cancer cells prone to developing bone metastasis and determine how they are regulated by the bone microenvironment. RECENT FINDINGS The bone is a site of frequent breast cancer metastasis. Bone metastasis accounts for 70% of advanced breast cancer cases and remains incurable. It can lead to skeletal-related events, such as bone fracture and pain, and seriously affect the quality of life of patients. Breast cancer cells escape from the primary lesion and spread to the bone marrow in the early stages. They can then enter the dormant state and restore tumourigenicity after several years to develop overt metastasis. In the last few years, an increasing number of studies have reported on the factors promoting bone metastasis of breast cancer cells, both at the primary and metastatic sites. Identifying factors associated with bone metastasis aids in the early recognition of bone metastasis tendency. How to target these factors and minimize the side effects on the bone remains to be further explored.
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Affiliation(s)
- Yiou Wang
- Department of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yue Hu
- Department of Outpatient, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Mozhi Wang
- Department of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Mengshen Wang
- Department of General Surgery, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yingying Xu
- Department of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
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Sollfrank L, Linn SC, Hauptmann M, Jóźwiak K. A scoping review of statistical methods in studies of biomarker-related treatment heterogeneity for breast cancer. BMC Med Res Methodol 2023; 23:154. [PMID: 37386356 PMCID: PMC10308726 DOI: 10.1186/s12874-023-01982-w] [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: 11/08/2022] [Accepted: 06/19/2023] [Indexed: 07/01/2023] Open
Abstract
BACKGROUND Many scientific papers are published each year and substantial resources are spent to develop biomarker-based tests for precision oncology. However, only a handful of tests is currently used in daily clinical practice, since development is challenging. In this situation, the application of adequate statistical methods is essential, but little is known about the scope of methods used. METHODS A PubMed search identified clinical studies among women with breast cancer comparing at least two different treatment groups, one of which chemotherapy or endocrine treatment, by levels of at least one biomarker. Studies presenting original data published in 2019 in one of 15 selected journals were eligible for this review. Clinical and statistical characteristics were extracted by three reviewers and a selection of characteristics for each study was reported. RESULTS Of 164 studies identified by the query, 31 were eligible. Over 70 different biomarkers were evaluated. Twenty-two studies (71%) evaluated multiplicative interaction between treatment and biomarker. Twenty-eight studies (90%) evaluated either the treatment effect in biomarker subgroups or the biomarker effect in treatment subgroups. Eight studies (26%) reported results for one predictive biomarker analysis, while the majority performed multiple evaluations, either for several biomarkers, outcomes and/or subpopulations. Twenty-one studies (68%) claimed to have found significant differences in treatment effects by biomarker level. Fourteen studies (45%) mentioned that the study was not designed to evaluate treatment effect heterogeneity. CONCLUSIONS Most studies evaluated treatment heterogeneity via separate analyses of biomarker-specific treatment effects and/or multiplicative interaction analysis. There is a need for the application of more efficient statistical methods to evaluate treatment heterogeneity in clinical studies.
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Affiliation(s)
- L Sollfrank
- Institute of Biostatistics and Registry Research, Brandenburg Medical School Theodor Fontane, Fehrbelliner Straße 39, Neuruppin, 16816, Germany
| | - S C Linn
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Medical Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Pathology, University Medical Center, Utrecht, The Netherlands
| | - M Hauptmann
- Institute of Biostatistics and Registry Research, Brandenburg Medical School Theodor Fontane, Fehrbelliner Straße 39, Neuruppin, 16816, Germany
| | - K Jóźwiak
- Institute of Biostatistics and Registry Research, Brandenburg Medical School Theodor Fontane, Fehrbelliner Straße 39, Neuruppin, 16816, Germany.
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Pillai SG, Siddappa CM, Ma C, Snider J, Kaushal M, Watson MA, Aft R. A microfluidic-based filtration system to enrich for bone marrow disseminated tumor cells from breast cancer patients. PLoS One 2021; 16:e0246139. [PMID: 33989287 PMCID: PMC8121342 DOI: 10.1371/journal.pone.0246139] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 01/13/2021] [Indexed: 01/07/2023] Open
Abstract
Disseminated tumors cells (DTCs) present in the bone marrow (BM) are believed to be the progenitors of distant metastatic spread, a major cause of mortality in breast cancer patients. To better understand the behavior and therapeutic vulnerabilities of these rare cell populations, unbiased methods for selective cell enrichment are required. In this study, we have evaluated a microfluidic-based filtration system (ParsortixR, Angle PLC), previously demonstrated for use in circulating tumor cell (CTC) capture, to capture BM DTCs. Performance using BM samples was also compared directly to enrichment of CTCs in the peripheral blood (PB) from both metastatic and non-metastatic breast cancer patients. Although the non-specific capture of BM immune cells was significant, the device could routinely achieve significant cytoreduction of BM and PB WBCs and at least 1,000-fold enrichment of DTCs, based on labeled tumor cell spike-in experiments. Detection of previously characterized DTC-associated gene expression biomarkers was greatly enhanced by the enrichment method, as demonstrated by droplet digital PCR assay. Cells eluted from the device were viable and suitable for single cell RNA sequencing experiments. DTCs in enriched BM samples comprised up to 5% of the total cell population, allowing for effective single cell and population-based transcriptional profiling of these rare cells. Use of the Parsortix instrument will be an effective approach to enrich for rare BM DTCs in order to better understand their diverse molecular phenotypes and develop approaches to eradicate these cells to prevent distant disease development in breast cancer patients.
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Affiliation(s)
- Sreeraj G. Pillai
- Dept. of Surgery, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Chidananda M. Siddappa
- Dept. of Surgery, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Cynthia Ma
- Dept. of Medicine, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Jackie Snider
- Dept. of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Madhurima Kaushal
- Institute of Informatics, Washington University School of Medicine, St Louis, MO, United States of America
| | - Mark A. Watson
- Dept. of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, United States of America
| | - Rebecca Aft
- Dept. of Surgery, Washington University School of Medicine, St. Louis, MO, United States of America
- John Cochran Veterans Administration Hospital, St. Louis, MO, United States of America
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Smith TAD, AbdelKarem OA, Irlam-Jones JJ, Lane B, Valentine H, Bibby BAS, Denley H, Choudhury A, West CML. Selection of endogenous control genes for normalising gene expression data derived from formalin-fixed paraffin-embedded tumour tissue. Sci Rep 2020; 10:17258. [PMID: 33057113 PMCID: PMC7560892 DOI: 10.1038/s41598-020-74380-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 09/28/2020] [Indexed: 12/19/2022] Open
Abstract
Quantitative real time polymerase chain reaction (qPCR) data are normalised using endogenous control genes. We aimed to: (1) demonstrate a pathway to identify endogenous control genes for qPCR analysis of formalin-fixed paraffin-embedded (FFPE) tissue using bladder cancer as an exemplar; and (2) examine the influence of probe length and sample age on PCR amplification and co-expression of candidate genes on apparent expression stability. RNA was extracted from prospective and retrospective samples and subject to qPCR using TaqMan human endogenous control arrays or single tube assays. Gene stability ranking was assessed using coefficient of variation (CoV), GeNorm and NormFinder. Co-expressed genes were identified from The Cancer Genome Atlas (TCGA) using the on-line gene regression analysis tool GRACE. Cycle threshold (Ct) values were lower for prospective (19.49 ± 2.53) vs retrospective (23.8 ± 3.32) tissues (p < 0.001) and shorter vs longer probes. Co-expressed genes ranked as the most stable genes in the TCGA cohort by GeNorm when analysed together but ranked lower when analysed individually omitting co-expressed genes indicating bias. Stability values were < 1.5 for the 20 candidate genes in the prospective cohort. As they consistently ranked in the top ten by CoV, GeNorm and Normfinder, UBC, RPLP0, HMBS, GUSB, and TBP are the most suitable endogenous control genes for bladder cancer qPCR.
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Affiliation(s)
- Tim A D Smith
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Centre, Christie Hospital NHS Found Trust, Manchester, M20 4BX, UK.
| | - Omneya A AbdelKarem
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Centre, Christie Hospital NHS Found Trust, Manchester, M20 4BX, UK
- Medical Research Institute, Alexandria University, 165 El-Horreya Avenue, El-Hadra, Alexandria, Egypt
| | - Joely J Irlam-Jones
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Centre, Christie Hospital NHS Found Trust, Manchester, M20 4BX, UK
| | - Brian Lane
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Centre, Christie Hospital NHS Found Trust, Manchester, M20 4BX, UK
| | - Helen Valentine
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Centre, Christie Hospital NHS Found Trust, Manchester, M20 4BX, UK
| | - Becky A S Bibby
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Centre, Christie Hospital NHS Found Trust, Manchester, M20 4BX, UK
| | - Helen Denley
- Pathology Centre, Shrewsbury and Telford NHS Trust, Royal Shrewsbury Hospital, Shrewsbury, SY3 8XQ, UK
| | - Ananya Choudhury
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Centre, Christie Hospital NHS Found Trust, Manchester, M20 4BX, UK
| | - Catharine M L West
- Translational Radiobiology Group, Division of Cancer Sciences, University of Manchester, Manchester Academic Health Centre, Christie Hospital NHS Found Trust, Manchester, M20 4BX, UK
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Assessment of Pre-Analytical Sample Handling Conditions for Comprehensive Liquid Biopsy Analysis. J Mol Diagn 2020; 22:1070-1086. [PMID: 32497717 DOI: 10.1016/j.jmoldx.2020.05.006] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 05/05/2020] [Accepted: 05/19/2020] [Indexed: 12/25/2022] Open
Abstract
Liquid biopsies as a minimally invasive approach have the potential to revolutionize molecular diagnostics. Yet, although protocols for sample handling and the isolation of circulating tumor DNA (ctDNA) are numerous, comprehensive guidelines for diagnostics and research considering all aspects of real-life multicenter clinical studies are currently not available. These include limitations in sample volume, transport, and blood collection tubes. We tested the impact of commonly used (EDTA and heparin) and specialized blood collection tubes and storage conditions on the yield and purity of cell-free DNA for the application in down-stream analysis. Moreover, we evaluated the feasibility of a combined workflow for ctDNA and tumor cell genomic testing and parallel flow cytometric analysis of leukocytes. For genomic analyses, EDTA tubes showed good results if stored for a maximum of 4 hours at room temperature or for up to 24 hours when stored at 4°C. Spike-in experiments revealed that EDTA tubes in combination with density gradient centrifugation allowed the parallel isolation of ctDNA, leukocytes, and low amounts of tumor cells (0.1%) and their immunophenotyping by flow cytometry and down-stream genomic analysis by whole genome sequencing. In conclusion, adhering to time and temperature limits allows the use of routine EDTA blood samples for liquid biopsy analyses. We further provide a workflow enabling the parallel analysis of cell-free and cellular features for disease monitoring and for clonal evolution studies.
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