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Contartese D, Salamanna F, Veronesi F, Fini M. Relevance of humanized three-dimensional tumor tissue models: a descriptive systematic literature review. Cell Mol Life Sci 2020; 77:3913-3944. [PMID: 32285137 PMCID: PMC11104864 DOI: 10.1007/s00018-020-03513-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 03/25/2020] [Accepted: 03/30/2020] [Indexed: 12/18/2022]
Abstract
Despite numerous advances in tumor screening, diagnosis, and treatment, to date, tumors remain one of the leading causes of death, principally due to metastasis and the physiological damage produced by tumor growth. Among the main limits related to the study of tumor physiology there is the complex and heterogeneity nature of its environment and the absence of relevant, simple and inexpensive models able to mimic the biological processes occurring in patients allowing the correct clinical translation of results. To enhance the understanding of the mechanisms of tumors and to develop and evaluate new therapeutic approaches the set-up of advanced and alternative models is mandatory. One of the more translational approaches seems to be the use of humanized three-dimensional (3D) tissue culture. This model allows to accurately mimic tumor morphology and biology, maintaining the native microenvironment without any manipulation. However, little is still known on the real clinical relevance of these models for the study of tumor mechanisms and for the screening of new therapy. The aim of this descriptive systematic literature review was to evaluate and summarize the current knowledge on human 3D tumor tissue culture models. We reviewed the strategies employed by researchers to set-up these systems, also considering the different approaches and culture conditions used. All these aspects greatly contribute to the existing knowledge on tumors, providing a specific link to clinical scenarios and making the humanized 3D tumor tissue models a more attractive tool both for researchers and clinicians.
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Affiliation(s)
- D Contartese
- Laboratory Preclinical and Surgical Studies, IRCCS Istituto Ortopedico Rizzoli, Via di Barbiano, 1/10, 40136, Bologna, Italy
| | - Francesca Salamanna
- Laboratory Preclinical and Surgical Studies, IRCCS Istituto Ortopedico Rizzoli, Via di Barbiano, 1/10, 40136, Bologna, Italy.
| | - F Veronesi
- Laboratory Preclinical and Surgical Studies, IRCCS Istituto Ortopedico Rizzoli, Via di Barbiano, 1/10, 40136, Bologna, Italy
| | - M Fini
- Laboratory Preclinical and Surgical Studies, IRCCS Istituto Ortopedico Rizzoli, Via di Barbiano, 1/10, 40136, Bologna, Italy
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Bock N, Shokoohmand A, Kryza T, Röhl J, Meijer J, Tran PA, Nelson CC, Clements JA, Hutmacher DW. Engineering osteoblastic metastases to delineate the adaptive response of androgen-deprived prostate cancer in the bone metastatic microenvironment. Bone Res 2019; 7:13. [PMID: 31044095 PMCID: PMC6486620 DOI: 10.1038/s41413-019-0049-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 02/13/2019] [Accepted: 03/04/2019] [Indexed: 02/06/2023] Open
Abstract
While stromal interactions are essential in cancer adaptation to hormonal therapies, the effects of bone stroma and androgen deprivation on cancer progression in bone are poorly understood. Here, we tissue-engineered and validated an in vitro microtissue model of osteoblastic bone metastases, and used it to study the effects of androgen deprivation in this microenvironment. The model was established by culturing primary human osteoprogenitor cells on melt electrowritten polymer scaffolds, leading to a mineralized osteoblast-derived microtissue containing, in a 3D setting, viable osteoblastic cells, osteocytic cells, and appropriate expression of osteoblast/osteocyte-derived mRNA and proteins, and mineral content. Direct co-culture of androgen receptor-dependent/independent cell lines (LNCaP, C4-2B, and PC3) led cancer cells to display functional and molecular features as observed in vivo. Co-cultured cancer cells showed increased affinity to the microtissues, as a function of their bone metastatic potential. Co-cultures led to alkaline phosphatase and collagen-I upregulation and sclerostin downregulation, consistent with the clinical marker profile of osteoblastic bone metastases. LNCaP showed a significant adaptive response under androgen deprivation in the microtissues, with the notable appearance of neuroendocrine transdifferentiation features and increased expression of related markers (dopa decarboxylase, enolase 2). Androgen deprivation affected the biology of the metastatic microenvironment with stronger upregulation of androgen receptor, alkaline phosphatase, and dopa decarboxylase, as seen in the transition towards resistance. The unique microtissues engineered here represent a substantial asset to determine the involvement of the human bone microenvironment in prostate cancer progression and response to a therapeutic context in this microenvironment.
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Affiliation(s)
- Nathalie Bock
- School of Biomedical Sciences, Faculty of Health and Australian Prostate Cancer Research Centre (APCRC-Q), Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology (QUT), Brisbane, QLD 4000 Australia
- Translational Research Institute (TRI), Woolloongabba, QLD 4102 Australia
- Centre in Regenerative Medicine, QUT, Kelvin Grove, QLD 4059 Australia
| | - Ali Shokoohmand
- School of Biomedical Sciences, Faculty of Health and Australian Prostate Cancer Research Centre (APCRC-Q), Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology (QUT), Brisbane, QLD 4000 Australia
- Translational Research Institute (TRI), Woolloongabba, QLD 4102 Australia
- Centre in Regenerative Medicine, QUT, Kelvin Grove, QLD 4059 Australia
| | - Thomas Kryza
- School of Biomedical Sciences, Faculty of Health and Australian Prostate Cancer Research Centre (APCRC-Q), Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology (QUT), Brisbane, QLD 4000 Australia
- Translational Research Institute (TRI), Woolloongabba, QLD 4102 Australia
| | - Joan Röhl
- School of Biomedical Sciences, Faculty of Health and Australian Prostate Cancer Research Centre (APCRC-Q), Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology (QUT), Brisbane, QLD 4000 Australia
- Translational Research Institute (TRI), Woolloongabba, QLD 4102 Australia
| | - Jonelle Meijer
- School of Biomedical Sciences, Faculty of Health and Australian Prostate Cancer Research Centre (APCRC-Q), Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology (QUT), Brisbane, QLD 4000 Australia
- Translational Research Institute (TRI), Woolloongabba, QLD 4102 Australia
- Centre in Regenerative Medicine, QUT, Kelvin Grove, QLD 4059 Australia
| | - Phong A. Tran
- Centre in Regenerative Medicine, QUT, Kelvin Grove, QLD 4059 Australia
- Bone and Joint Disorders Program, School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty (SEF), QUT, Brisbane, QLD 4000 Australia
| | - Colleen C. Nelson
- School of Biomedical Sciences, Faculty of Health and Australian Prostate Cancer Research Centre (APCRC-Q), Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology (QUT), Brisbane, QLD 4000 Australia
- Translational Research Institute (TRI), Woolloongabba, QLD 4102 Australia
| | - Judith A. Clements
- School of Biomedical Sciences, Faculty of Health and Australian Prostate Cancer Research Centre (APCRC-Q), Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology (QUT), Brisbane, QLD 4000 Australia
- Translational Research Institute (TRI), Woolloongabba, QLD 4102 Australia
| | - Dietmar W. Hutmacher
- School of Biomedical Sciences, Faculty of Health and Australian Prostate Cancer Research Centre (APCRC-Q), Institute of Health and Biomedical Innovation (IHBI), Queensland University of Technology (QUT), Brisbane, QLD 4000 Australia
- Translational Research Institute (TRI), Woolloongabba, QLD 4102 Australia
- Centre in Regenerative Medicine, QUT, Kelvin Grove, QLD 4059 Australia
- Bone and Joint Disorders Program, School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty (SEF), QUT, Brisbane, QLD 4000 Australia
- Australian Research Council (ARC) Training Centre in Additive Biomanufacturing, QUT, Kelvin Grove, QLD 4059 Australia
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3
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Nguyen EV, Centenera MM, Moldovan M, Das R, Irani S, Vincent AD, Chan H, Horvath LG, Lynn DJ, Daly RJ, Butler LM. Identification of Novel Response and Predictive Biomarkers to Hsp90 Inhibitors Through Proteomic Profiling of Patient-derived Prostate Tumor Explants. Mol Cell Proteomics 2018; 17:1470-1486. [PMID: 29632047 DOI: 10.1074/mcp.ra118.000633] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 03/26/2018] [Indexed: 12/16/2022] Open
Abstract
Inhibition of the heat shock protein 90 (Hsp90) chaperone is a promising therapeutic strategy to target expression of the androgen receptor (AR) and other oncogenic drivers in prostate cancer cells. However, identification of clinically-relevant responses and predictive biomarkers is essential to maximize efficacy and treatment personalization. Here, we combined mass spectrometry (MS)-based proteomic analyses with a unique patient-derived explant (PDE) model that retains the complex microenvironment of primary prostate tumors. Independent discovery and validation cohorts of PDEs (n = 16 and 30, respectively) were cultured in the absence or presence of Hsp90 inhibitors AUY922 or 17-AAG. PDEs were analyzed by LC-MS/MS with a hyper-reaction monitoring data independent acquisition (HRM-DIA) workflow, and differentially expressed proteins identified using repeated measure analysis of variance (ANOVA; raw p value <0.01). Using gene set enrichment, we found striking conservation of the most significantly AUY922-altered gene pathways between the discovery and validation cohorts, indicating that our experimental and analysis workflows were robust. Eight proteins were selectively altered across both cohorts by the most potent inhibitor, AUY922, including TIMP1, SERPINA3 and CYP51A (adjusted p < 0.01). The AUY922-mediated decrease in secretory TIMP1 was validated by ELISA of the PDE culture medium. We next exploited the heterogeneous response of PDEs to 17-AAG in order to detect predictive biomarkers of response and identified PCBP3 as a marker with increased expression in PDEs that had no response or increased in proliferation. Also, 17-AAG treatment led to increased expression of DNAJA1 in PDEs that exhibited a cytostatic response, revealing potential drug resistance mechanisms. This selective regulation of DNAJA1 was validated by Western blot analysis. Our study establishes "proof-of-principle" that proteomic profiling of drug-treated PDEs represents an effective and clinically-relevant strategy for identification of biomarkers that associate with certain tumor-specific responses.
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Affiliation(s)
- Elizabeth V Nguyen
- From the ‡Cancer Program, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia.,§Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia
| | - Margaret M Centenera
- ¶Adelaide Medical School and Freemasons Foundation Centre for Men's Health, University of Adelaide, Adelaide, South Australia 5005, Australia.,‖South Australian Health and Medical Research Institute, Adelaide, South Australia 5000, Australia
| | - Max Moldovan
- ‖South Australian Health and Medical Research Institute, Adelaide, South Australia 5000, Australia
| | - Rajdeep Das
- ¶Adelaide Medical School and Freemasons Foundation Centre for Men's Health, University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Swati Irani
- ¶Adelaide Medical School and Freemasons Foundation Centre for Men's Health, University of Adelaide, Adelaide, South Australia 5005, Australia.,‖South Australian Health and Medical Research Institute, Adelaide, South Australia 5000, Australia
| | - Andrew D Vincent
- ¶Adelaide Medical School and Freemasons Foundation Centre for Men's Health, University of Adelaide, Adelaide, South Australia 5005, Australia
| | - Howard Chan
- From the ‡Cancer Program, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia.,§Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia
| | - Lisa G Horvath
- **Cancer Division, The Kinghorn Cancer Centre/Garvan Institute of Medical Research, Darlinghurst, New South Wales 2010, Australia.,‡‡Royal Prince Alfred Hospital, Camperdown, New South Wales 2050, Australia.,§§Department of Medical Oncology, Chris O'Brien Lifehouse, Camperdown, New South Wales 2050, Australia
| | - David J Lynn
- ‖South Australian Health and Medical Research Institute, Adelaide, South Australia 5000, Australia.,¶¶School of Medicine, Flinders University, Bedford Park, SA 5042, Australia
| | - Roger J Daly
- From the ‡Cancer Program, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia; .,§Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria 3800, Australia
| | - Lisa M Butler
- ¶Adelaide Medical School and Freemasons Foundation Centre for Men's Health, University of Adelaide, Adelaide, South Australia 5005, Australia.,‖South Australian Health and Medical Research Institute, Adelaide, South Australia 5000, Australia
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Biomarker-Guided Non-Adaptive Trial Designs in Phase II and Phase III: A Methodological Review. J Pers Med 2017; 7:jpm7010001. [PMID: 28125057 PMCID: PMC5374391 DOI: 10.3390/jpm7010001] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2016] [Revised: 12/06/2016] [Accepted: 01/11/2017] [Indexed: 01/22/2023] Open
Abstract
Biomarker-guided treatment is a rapidly developing area of medicine, where treatment choice is personalised according to one or more of an individual’s biomarker measurements. A number of biomarker-guided trial designs have been proposed in the past decade, including both adaptive and non-adaptive trial designs which test the effectiveness of a biomarker-guided approach to treatment with the aim of improving patient health. A better understanding of them is needed as challenges occur both in terms of trial design and analysis. We have undertaken a comprehensive literature review based on an in-depth search strategy with a view to providing the research community with clarity in definition, methodology and terminology of the various biomarker-guided trial designs (both adaptive and non-adaptive designs) from a total of 211 included papers. In the present paper, we focus on non-adaptive biomarker-guided trial designs for which we have identified five distinct main types mentioned in 100 papers. We have graphically displayed each non-adaptive trial design and provided an in-depth overview of their key characteristics. Substantial variability has been observed in terms of how trial designs are described and particularly in the terminology used by different authors. Our comprehensive review provides guidance for those designing biomarker-guided trials.
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Lorente D, Omlin A, Zafeiriou Z, Nava-Rodrigues D, Pérez-López R, Pezaro C, Mehra N, Sheridan E, Figueiredo I, Riisnaes R, Miranda S, Crespo M, Flohr P, Mateo J, Altavilla A, Ferraldeschi R, Bianchini D, Attard G, Tunariu N, de Bono J. Castration-Resistant Prostate Cancer Tissue Acquisition From Bone Metastases for Molecular Analyses. Clin Genitourin Cancer 2016; 14:485-493. [PMID: 27246360 PMCID: PMC5132155 DOI: 10.1016/j.clgc.2016.04.016] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2016] [Revised: 04/18/2016] [Accepted: 04/22/2016] [Indexed: 11/18/2022]
Abstract
Background The urgent need for castration-resistant prostate cancer molecular characterization to guide treatment has been constrained by the disease's predilection to metastasize primarily to bone. We hypothesized that the use of clinical and imaging criteria could maximize tissue acquisition from bone marrow biopsies (BMBs). We aimed to develop a score for the selection of patients undergoing BMB. Materials and Methods A total of 115 BMBs were performed in 101 patients: 57 were included in a derivation set and 58 were used as the validation set. The clinical and laboratory data and prebiopsy computed tomography parameters (Hounsfield units [HUs]) were determined. A score for the prediction of biopsy positivity was developed from logistic regression analysis of the derivation set and tested in the validation set. Results Of the 115 biopsy specimens, 75 (62.5%) were positive; 35 (61.4%) in the test set and 40 (69%) in the validation set. On univariable analysis, hemoglobin (P = .019), lactate dehydrogenase (P = .003), prostate-specific antigen (P = .005), and mean HUs (P = .004) were selected. A score based on the LDH level (≥ 225 IU/L) and mean HUs (≥ 125) was developed in multivariate analysis and was associated with BMB positivity in the validation set (odds ratio, 5.1; 95% confidence interval, 1.9%-13.4%; P = .001). The area under the curve of the score was 0.79 in the test set and 0.77 in the validation set. Conclusion BMB of the iliac crest is a feasible technique for obtaining tumor tissue for genomic analysis in patients with castration-resistant prostate cancer metastatic to the bone. A signature based on the mean HUs and LDH level can predict a positive yield with acceptable internal validity. Prospective studies of independent cohorts are needed to establish the external validity of the score.
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Affiliation(s)
- David Lorente
- Prostate Cancer Targeted Therapy Group and Drug Development Unit, The Royal Marsden National Health Services Foundation Trust and The Institute of Cancer Research, Sutton, UK
| | - Aurelius Omlin
- Oncohematology Department, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Zafeiris Zafeiriou
- Prostate Cancer Targeted Therapy Group and Drug Development Unit, The Royal Marsden National Health Services Foundation Trust and The Institute of Cancer Research, Sutton, UK
| | - Daniel Nava-Rodrigues
- Prostate Cancer Targeted Therapy Group and Drug Development Unit, The Royal Marsden National Health Services Foundation Trust and The Institute of Cancer Research, Sutton, UK
| | - Raquel Pérez-López
- Prostate Cancer Targeted Therapy Group and Drug Development Unit, The Royal Marsden National Health Services Foundation Trust and The Institute of Cancer Research, Sutton, UK
| | - Carmel Pezaro
- Eastern Health Medicine School, Monash University, Box Hill, VC, Australia
| | - Niven Mehra
- Prostate Cancer Targeted Therapy Group and Drug Development Unit, The Royal Marsden National Health Services Foundation Trust and The Institute of Cancer Research, Sutton, UK
| | - Elizabeth Sheridan
- Prostate Cancer Targeted Therapy Group and Drug Development Unit, The Royal Marsden National Health Services Foundation Trust and The Institute of Cancer Research, Sutton, UK
| | - Ines Figueiredo
- Prostate Cancer Targeted Therapy Group and Drug Development Unit, The Royal Marsden National Health Services Foundation Trust and The Institute of Cancer Research, Sutton, UK
| | - Ruth Riisnaes
- Prostate Cancer Targeted Therapy Group and Drug Development Unit, The Royal Marsden National Health Services Foundation Trust and The Institute of Cancer Research, Sutton, UK
| | - Susana Miranda
- Prostate Cancer Targeted Therapy Group and Drug Development Unit, The Royal Marsden National Health Services Foundation Trust and The Institute of Cancer Research, Sutton, UK
| | - Mateus Crespo
- Prostate Cancer Targeted Therapy Group and Drug Development Unit, The Royal Marsden National Health Services Foundation Trust and The Institute of Cancer Research, Sutton, UK
| | - Penny Flohr
- Prostate Cancer Targeted Therapy Group and Drug Development Unit, The Royal Marsden National Health Services Foundation Trust and The Institute of Cancer Research, Sutton, UK
| | - Joaquín Mateo
- Prostate Cancer Targeted Therapy Group and Drug Development Unit, The Royal Marsden National Health Services Foundation Trust and The Institute of Cancer Research, Sutton, UK
| | - Amelia Altavilla
- Prostate Cancer Targeted Therapy Group and Drug Development Unit, The Royal Marsden National Health Services Foundation Trust and The Institute of Cancer Research, Sutton, UK
| | - Roberta Ferraldeschi
- Prostate Cancer Targeted Therapy Group and Drug Development Unit, The Royal Marsden National Health Services Foundation Trust and The Institute of Cancer Research, Sutton, UK
| | - Diletta Bianchini
- Prostate Cancer Targeted Therapy Group and Drug Development Unit, The Royal Marsden National Health Services Foundation Trust and The Institute of Cancer Research, Sutton, UK
| | - Gerhardt Attard
- Prostate Cancer Targeted Therapy Group and Drug Development Unit, The Royal Marsden National Health Services Foundation Trust and The Institute of Cancer Research, Sutton, UK
| | - Nina Tunariu
- Prostate Cancer Targeted Therapy Group and Drug Development Unit, The Royal Marsden National Health Services Foundation Trust and The Institute of Cancer Research, Sutton, UK
| | - Johann de Bono
- Prostate Cancer Targeted Therapy Group and Drug Development Unit, The Royal Marsden National Health Services Foundation Trust and The Institute of Cancer Research, Sutton, UK.
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Antoniou M, Jorgensen AL, Kolamunnage-Dona R. Biomarker-Guided Adaptive Trial Designs in Phase II and Phase III: A Methodological Review. PLoS One 2016; 11:e0149803. [PMID: 26910238 PMCID: PMC4766245 DOI: 10.1371/journal.pone.0149803] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2015] [Accepted: 02/04/2016] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Personalized medicine is a growing area of research which aims to tailor the treatment given to a patient according to one or more personal characteristics. These characteristics can be demographic such as age or gender, or biological such as a genetic or other biomarker. Prior to utilizing a patient's biomarker information in clinical practice, robust testing in terms of analytical validity, clinical validity and clinical utility is necessary. A number of clinical trial designs have been proposed for testing a biomarker's clinical utility, including Phase II and Phase III clinical trials which aim to test the effectiveness of a biomarker-guided approach to treatment; these designs can be broadly classified into adaptive and non-adaptive. While adaptive designs allow planned modifications based on accumulating information during a trial, non-adaptive designs are typically simpler but less flexible. METHODS AND FINDINGS We have undertaken a comprehensive review of biomarker-guided adaptive trial designs proposed in the past decade. We have identified eight distinct biomarker-guided adaptive designs and nine variations from 107 studies. Substantial variability has been observed in terms of how trial designs are described and particularly in the terminology used by different authors. We have graphically displayed the current biomarker-guided adaptive trial designs and summarised the characteristics of each design. CONCLUSIONS Our in-depth overview provides future researchers with clarity in definition, methodology and terminology for biomarker-guided adaptive trial designs.
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Affiliation(s)
- Miranta Antoniou
- MRC North West Hub For Trials Methodology Research, Liverpool, United Kingdom
- Department of Biostatistics, Institute of Translational Medicine, University of Liverpool, L69 3GL, Liverpool, United Kingdom
- * E-mail:
| | - Andrea L Jorgensen
- MRC North West Hub For Trials Methodology Research, Liverpool, United Kingdom
- Department of Biostatistics, Institute of Translational Medicine, University of Liverpool, L69 3GL, Liverpool, United Kingdom
| | - Ruwanthi Kolamunnage-Dona
- MRC North West Hub For Trials Methodology Research, Liverpool, United Kingdom
- Department of Biostatistics, Institute of Translational Medicine, University of Liverpool, L69 3GL, Liverpool, United Kingdom
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Smith AD, Roda D, Yap TA. Strategies for modern biomarker and drug development in oncology. J Hematol Oncol 2014; 7:70. [PMID: 25277503 PMCID: PMC4189730 DOI: 10.1186/s13045-014-0070-8] [Citation(s) in RCA: 88] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2014] [Accepted: 09/21/2014] [Indexed: 02/08/2023] Open
Abstract
Technological advancements in the molecular characterization of cancers have enabled researchers to identify an increasing number of key molecular drivers of cancer progression. These discoveries have led to multiple novel anticancer therapeutics, and clinical benefit in selected patient populations. Despite this, the identification of clinically relevant predictive biomarkers of response continues to lag behind. In this review, we discuss strategies for the molecular characterization of cancers and the importance of biomarkers for the development of novel antitumor therapeutics. We also review critical successes and failures in oncology, and detail the lessons learnt, which may aid in the acceleration of anticancer drug development and biomarker discovery.
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Affiliation(s)
- Alan D Smith
- Drug Development Unit, Royal Marsden NHS Foundation Trust, Division of Clinical Studies, The Institute of Cancer Research, Downs Road, Sutton, Surrey, SM2 5PT, UK.
| | - Desam Roda
- Drug Development Unit, Royal Marsden NHS Foundation Trust, Division of Clinical Studies, The Institute of Cancer Research, Downs Road, Sutton, Surrey, SM2 5PT, UK.
| | - Timothy A Yap
- Drug Development Unit, Royal Marsden NHS Foundation Trust, Division of Clinical Studies, The Institute of Cancer Research, Downs Road, Sutton, Surrey, SM2 5PT, UK.
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Mostaghel EA, Plymate SR, Montgomery B. Molecular pathways: targeting resistance in the androgen receptor for therapeutic benefit. Clin Cancer Res 2013; 20:791-8. [PMID: 24305618 DOI: 10.1158/1078-0432.ccr-12-3601] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Androgen receptor signaling is critical in the development and progression of prostate cancer, leading to intensive efforts to elucidate all potential points of inflection for therapeutic intervention. These efforts have revealed new mechanisms of resistance and raise the possibility that known mechanisms may become even more relevant in the context of effective androgen receptor suppression. These mechanisms include tumoral appropriation of alternative androgen sources, alterations in androgen receptor expression, androgen receptor mutations, truncated androgen receptor variants, alterations and cross-talk in recruitment of cofactors to androgen receptor binding sites in the genome, and androgen receptor-driven oncogenic gene fusions. New agents such as enzalutamide, EPI-001, androgen receptor-specific peptidomimetics, novel HSP90 inhibitors, and PARP inhibitors, as well as new approaches to cotargeting the androgen receptor pathway, point to the potential for more complete and durable control of androgen receptor-mediated growth.
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Affiliation(s)
- Elahe A Mostaghel
- Authors' Affiliations: Division of Clinical Research, Fred Hutchinson Cancer Research Center; and Department of Medicine, University of Washington, Seattle, Washington
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Tajik P, Zwinderman AH, Mol BW, Bossuyt PM. Trial Designs for Personalizing Cancer Care: A Systematic Review and Classification. Clin Cancer Res 2013; 19:4578-88. [DOI: 10.1158/1078-0432.ccr-12-3722] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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