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Kozyra P, Pitucha M. Revisiting the Role of B-RAF Kinase as a Therapeutic Target in Melanoma. Curr Med Chem 2024; 31:2003-2020. [PMID: 37855341 DOI: 10.2174/0109298673258495231011065225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 07/19/2023] [Accepted: 08/17/2023] [Indexed: 10/20/2023]
Abstract
Malignant melanoma is the rarest but most aggressive and deadly skin cancer. Melanoma is the result of a malignant transformation of melanocytes, which leads to their uncontrolled proliferation. Mutations in the mitogen-activated protein kinase (MAPK) pathway, which are crucial for the control of cellular processes, such as apoptosis, division, growth, differentiation, and migration, are one of its most common causes. BRAF kinase, as one of the known targets of this pathway, has been known for many years as a prominent molecular target in melanoma therapy, and the following mini-review outlines the state-of-the-art knowledge regarding its structure, mutations and mechanisms.
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Affiliation(s)
- Paweł Kozyra
- Independent Radiopharmacy Unit, Faculty of Pharmacy, Medical University of Lublin, Lublin, PL, 20093, Poland
| | - Monika Pitucha
- Independent Radiopharmacy Unit, Faculty of Pharmacy, Medical University of Lublin, Lublin, PL-20093, Poland
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2
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Comprehensive characterization of pre- and post-treatment samples of breast cancer reveal potential mechanisms of chemotherapy resistance. NPJ Breast Cancer 2022; 8:60. [PMID: 35523804 PMCID: PMC9076915 DOI: 10.1038/s41523-022-00428-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 04/12/2022] [Indexed: 12/23/2022] Open
Abstract
When locally advanced breast cancer is treated with neoadjuvant chemotherapy, the recurrence risk is significantly higher if no complete pathologic response is achieved. Identification of the underlying resistance mechanisms is essential to select treatments with maximal efficacy and minimal toxicity. Here we employed gene expression profiles derived from 317 HER2-negative treatment-naïve breast cancer biopsies of patients who underwent neoadjuvant chemotherapy, deep whole exome, and RNA-sequencing profiles of 22 matched pre- and post-treatment tumors, and treatment outcome data to identify biomarkers of response and resistance mechanisms. Molecular profiling of treatment-naïve breast cancer samples revealed that expression levels of proliferation, immune response, and extracellular matrix (ECM) organization combined predict response to chemotherapy. Triple negative patients with high proliferation, high immune response and low ECM expression had a significantly better treatment response and survival benefit (HR 0.29, 95% CI 0.10–0.85; p = 0.02), while in ER+ patients the opposite was seen (HR 4.73, 95% CI 1.51–14.8; p = 0.008). The characterization of paired pre-and post-treatment samples revealed that aberrations of known cancer genes were either only present in the pre-treatment sample (CDKN1B) or in the post-treatment sample (TP53, APC, CTNNB1). Proliferation-associated genes were frequently down-regulated in post-treatment ER+ tumors, but not in triple negative tumors. Genes involved in ECM were upregulated in the majority of post-chemotherapy samples. Genomic and transcriptomic differences between pre- and post-chemotherapy samples are common and may reveal potential mechanisms of therapy resistance. Our results show a wide range of distinct, but related mechanisms, with a prominent role for proliferation- and ECM-related genes.
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Riudavets M, Cascetta P, Planchard D. Targeting BRAF-mutant non-small cell lung cancer: current status and future directions. Lung Cancer 2022; 169:102-114. [DOI: 10.1016/j.lungcan.2022.05.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 05/24/2022] [Indexed: 10/18/2022]
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4
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Regulatory spine RS3 residue of protein kinases: a lipophilic bystander or a decisive element in the small-molecule kinase inhibitor binding? Biochem Soc Trans 2022; 50:633-648. [PMID: 35226061 PMCID: PMC9022976 DOI: 10.1042/bst20210837] [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: 12/22/2021] [Revised: 02/15/2022] [Accepted: 02/17/2022] [Indexed: 11/30/2022]
Abstract
In recent years, protein kinases have been one of the most pursued drug targets. These determined efforts have resulted in ever increasing numbers of small-molecule kinase inhibitors reaching to the market, offering novel treatment options for patients with distinct diseases. One essential component related to the activation and normal functionality of a protein kinase is the regulatory spine (R-spine). The R-spine is formed of four conserved residues named as RS1–RS4. One of these residues, RS3, located in the C-terminal part of αC-helix, is usually accessible for the inhibitors from the ATP-binding cavity as its side chain is lining the hydrophobic back pocket in many protein kinases. Although the role of RS3 has been well acknowledged in protein kinase function, this residue has not been actively considered in inhibitor design, even though many small-molecule kinase inhibitors display interactions to this residue. In this minireview, we will cover the current knowledge of RS3, its relationship with the gatekeeper, and the role of RS3 in kinase inhibitor interactions. Finally, we comment on the future perspectives how this residue could be utilized in the kinase inhibitor design.
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5
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Lin YF, Liu JJ, Chang YJ, Yu CS, Yi W, Lane HY, Lu CH. Predicting Anticancer Drug Resistance Mediated by Mutations. Pharmaceuticals (Basel) 2022; 15:ph15020136. [PMID: 35215249 PMCID: PMC8878306 DOI: 10.3390/ph15020136] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/16/2022] [Accepted: 01/21/2022] [Indexed: 02/01/2023] Open
Abstract
Cancer drug resistance presents a challenge for precision medicine. Drug-resistant mutations are always emerging. In this study, we explored the relationship between drug-resistant mutations and drug resistance from the perspective of protein structure. By combining data from previously identified drug-resistant mutations and information of protein structure and function, we used machine learning-based methods to build models to predict cancer drug resistance mutations. The performance of our combined model achieved an accuracy of 86%, a Matthews correlation coefficient score of 0.57, and an F1 score of 0.66. We have constructed a fast, reliable method that predicts and investigates cancer drug resistance in a protein structure. Nonetheless, more information is needed concerning drug resistance and, in particular, clarification is needed about the relationships between the drug and the drug resistance mutations in proteins. Highly accurate predictions regarding drug resistance mutations can be helpful for developing new strategies with personalized cancer treatments. Our novel concept, which combines protein structure information, has the potential to elucidate physiological mechanisms of cancer drug resistance.
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Affiliation(s)
- Yu-Feng Lin
- Department of Medical Laboratory Science and Biotechnology, Asia University, Taichung 41354, Taiwan; (Y.-F.L.); (W.Y.)
| | - Jia-Jun Liu
- The Ph.D. Program of Biotechnology and Biomedical Industry, China Medical University, Taichung 40402, Taiwan; (J.-J.L.); (Y.-J.C.)
| | - Yu-Jen Chang
- The Ph.D. Program of Biotechnology and Biomedical Industry, China Medical University, Taichung 40402, Taiwan; (J.-J.L.); (Y.-J.C.)
| | - Chin-Sheng Yu
- Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40201, Taiwan;
| | - Wei Yi
- Department of Medical Laboratory Science and Biotechnology, Asia University, Taichung 41354, Taiwan; (Y.-F.L.); (W.Y.)
| | - Hsien-Yuan Lane
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung 40402, Taiwan;
- Department of Psychiatry, China Medical University Hospital, Taichung 40402, Taiwan
- Brain Disease Research Center, China Medical University Hospital, Taichung 40402, Taiwan
| | - Chih-Hao Lu
- The Ph.D. Program of Biotechnology and Biomedical Industry, China Medical University, Taichung 40402, Taiwan; (J.-J.L.); (Y.-J.C.)
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung 40402, Taiwan;
- Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung 40402, Taiwan
- Correspondence:
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6
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Clinical Implications of Acquired BRAF Inhibitors Resistance in Melanoma. Int J Mol Sci 2020; 21:ijms21249730. [PMID: 33419275 PMCID: PMC7766699 DOI: 10.3390/ijms21249730] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 12/17/2020] [Accepted: 12/17/2020] [Indexed: 12/13/2022] Open
Abstract
Understanding the role of mitogen-activated protein kinase (MAPK) pathway-activating mutations in the development and progression of melanoma and their possible use as therapeutic targets has substantially changed the management of this neoplasm, which, until a few years ago, was burdened by severe mortality. However, the presence of numerous intrinsic and extrinsic mechanisms of resistance to BRAF inhibitors compromises the treatment responses’ effectiveness and durability. The strategy of overcoming these resistances by combination therapy has proved successful, with the additional benefit of reducing side effects derived from paradoxical activation of the MAPK pathway. Furthermore, the use of other highly specific inhibitors, intermittent dosing schedules and the association of combination therapy with immune checkpoint inhibitors are promising new therapeutic strategies. However, numerous issues related to dose, tolerability and administration sequence still need to be clarified, as is to be expected from currently ongoing trials. In this review, we describe the clinical results of using BRAF inhibitors in advanced melanoma, with a keen interest in strategies aimed at overcoming resistance.
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Proietti I, Skroza N, Bernardini N, Tolino E, Balduzzi V, Marchesiello A, Michelini S, Volpe S, Mambrin A, Mangino G, Romeo G, Maddalena P, Rees C, Potenza C. Mechanisms of Acquired BRAF Inhibitor Resistance in Melanoma: A Systematic Review. Cancers (Basel) 2020; 12:E2801. [PMID: 33003483 PMCID: PMC7600801 DOI: 10.3390/cancers12102801] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 09/21/2020] [Accepted: 09/25/2020] [Indexed: 12/18/2022] Open
Abstract
This systematic review investigated the literature on acquired v-raf murine sarcoma viral oncogene homolog B1 (BRAF) inhibitor resistance in patients with melanoma. We searched MEDLINE for articles on BRAF inhibitor resistance in patients with melanoma published since January 2010 in the following areas: (1) genetic basis of resistance; (2) epigenetic and transcriptomic mechanisms; (3) influence of the immune system on resistance development; and (4) combination therapy to overcome resistance. Common resistance mutations in melanoma are BRAF splice variants, BRAF amplification, neuroblastoma RAS viral oncogene homolog (NRAS) mutations and mitogen-activated protein kinase kinase 1/2 (MEK1/2) mutations. Genetic and epigenetic changes reactivate previously blocked mitogen-activated protein kinase (MAPK) pathways, activate alternative signaling pathways, and cause epithelial-to-mesenchymal transition. Once BRAF inhibitor resistance develops, the tumor microenvironment reverts to a low immunogenic state secondary to the induction of programmed cell death ligand-1. Combining a BRAF inhibitor with a MEK inhibitor delays resistance development and increases duration of response. Multiple other combinations based on known mechanisms of resistance are being investigated. BRAF inhibitor-resistant cells develop a range of 'escape routes', so multiple different treatment targets will probably be required to overcome resistance. In the future, it may be possible to personalize combination therapy towards the specific resistance pathway in individual patients.
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Affiliation(s)
- Ilaria Proietti
- Dermatology Unit “Daniele Innocenzi”, Department of Medical-Surgical Sciences and Bio-Technologies, Sapienza University of Rome, Fiorini Hospital, Polo Pontino, 04019 Terracina, Italy; (N.S.); (N.B.); (E.T.); (V.B.); (A.M.); (S.M.); (S.V.); (A.M.); (P.M.); (C.P.)
| | - Nevena Skroza
- Dermatology Unit “Daniele Innocenzi”, Department of Medical-Surgical Sciences and Bio-Technologies, Sapienza University of Rome, Fiorini Hospital, Polo Pontino, 04019 Terracina, Italy; (N.S.); (N.B.); (E.T.); (V.B.); (A.M.); (S.M.); (S.V.); (A.M.); (P.M.); (C.P.)
| | - Nicoletta Bernardini
- Dermatology Unit “Daniele Innocenzi”, Department of Medical-Surgical Sciences and Bio-Technologies, Sapienza University of Rome, Fiorini Hospital, Polo Pontino, 04019 Terracina, Italy; (N.S.); (N.B.); (E.T.); (V.B.); (A.M.); (S.M.); (S.V.); (A.M.); (P.M.); (C.P.)
| | - Ersilia Tolino
- Dermatology Unit “Daniele Innocenzi”, Department of Medical-Surgical Sciences and Bio-Technologies, Sapienza University of Rome, Fiorini Hospital, Polo Pontino, 04019 Terracina, Italy; (N.S.); (N.B.); (E.T.); (V.B.); (A.M.); (S.M.); (S.V.); (A.M.); (P.M.); (C.P.)
| | - Veronica Balduzzi
- Dermatology Unit “Daniele Innocenzi”, Department of Medical-Surgical Sciences and Bio-Technologies, Sapienza University of Rome, Fiorini Hospital, Polo Pontino, 04019 Terracina, Italy; (N.S.); (N.B.); (E.T.); (V.B.); (A.M.); (S.M.); (S.V.); (A.M.); (P.M.); (C.P.)
| | - Anna Marchesiello
- Dermatology Unit “Daniele Innocenzi”, Department of Medical-Surgical Sciences and Bio-Technologies, Sapienza University of Rome, Fiorini Hospital, Polo Pontino, 04019 Terracina, Italy; (N.S.); (N.B.); (E.T.); (V.B.); (A.M.); (S.M.); (S.V.); (A.M.); (P.M.); (C.P.)
| | - Simone Michelini
- Dermatology Unit “Daniele Innocenzi”, Department of Medical-Surgical Sciences and Bio-Technologies, Sapienza University of Rome, Fiorini Hospital, Polo Pontino, 04019 Terracina, Italy; (N.S.); (N.B.); (E.T.); (V.B.); (A.M.); (S.M.); (S.V.); (A.M.); (P.M.); (C.P.)
| | - Salvatore Volpe
- Dermatology Unit “Daniele Innocenzi”, Department of Medical-Surgical Sciences and Bio-Technologies, Sapienza University of Rome, Fiorini Hospital, Polo Pontino, 04019 Terracina, Italy; (N.S.); (N.B.); (E.T.); (V.B.); (A.M.); (S.M.); (S.V.); (A.M.); (P.M.); (C.P.)
| | - Alessandra Mambrin
- Dermatology Unit “Daniele Innocenzi”, Department of Medical-Surgical Sciences and Bio-Technologies, Sapienza University of Rome, Fiorini Hospital, Polo Pontino, 04019 Terracina, Italy; (N.S.); (N.B.); (E.T.); (V.B.); (A.M.); (S.M.); (S.V.); (A.M.); (P.M.); (C.P.)
| | - Giorgio Mangino
- Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, 00185 Rome, Italy; (G.M.); (G.R.)
| | - Giovanna Romeo
- Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, 00185 Rome, Italy; (G.M.); (G.R.)
- Department of Infectious, Parasitic and Immune-Mediated Diseases, Istituto Superiore di Sanità, 00185 Rome, Italy
- Institute of Molecular Biology and Pathology, Consiglio Nazionale delle Ricerche, 00185 Rome, Italy
| | - Patrizia Maddalena
- Dermatology Unit “Daniele Innocenzi”, Department of Medical-Surgical Sciences and Bio-Technologies, Sapienza University of Rome, Fiorini Hospital, Polo Pontino, 04019 Terracina, Italy; (N.S.); (N.B.); (E.T.); (V.B.); (A.M.); (S.M.); (S.V.); (A.M.); (P.M.); (C.P.)
| | | | - Concetta Potenza
- Dermatology Unit “Daniele Innocenzi”, Department of Medical-Surgical Sciences and Bio-Technologies, Sapienza University of Rome, Fiorini Hospital, Polo Pontino, 04019 Terracina, Italy; (N.S.); (N.B.); (E.T.); (V.B.); (A.M.); (S.M.); (S.V.); (A.M.); (P.M.); (C.P.)
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8
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Hamid AB, Petreaca RC. Secondary Resistant Mutations to Small Molecule Inhibitors in Cancer Cells. Cancers (Basel) 2020; 12:cancers12040927. [PMID: 32283832 PMCID: PMC7226513 DOI: 10.3390/cancers12040927] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Revised: 04/05/2020] [Accepted: 04/07/2020] [Indexed: 12/14/2022] Open
Abstract
Secondary resistant mutations in cancer cells arise in response to certain small molecule inhibitors. These mutations inevitably cause recurrence and often progression to a more aggressive form. Resistant mutations may manifest in various forms. For example, some mutations decrease or abrogate the affinity of the drug for the protein. Others restore the function of the enzyme even in the presence of the inhibitor. In some cases, resistance is acquired through activation of a parallel pathway which bypasses the function of the drug targeted pathway. The Catalogue of Somatic Mutations in Cancer (COSMIC) produced a compendium of resistant mutations to small molecule inhibitors reported in the literature. Here, we build on these data and provide a comprehensive review of resistant mutations in cancers. We also discuss mechanistic parallels of resistance.
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9
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Clonal heterogeneity of melanoma in a paradigmatic case study: future prospects for circulating melanoma cells. Melanoma Res 2019; 29:89-94. [PMID: 30222690 DOI: 10.1097/cmr.0000000000000510] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
The management of metastatic melanoma is a difficult matter. Nevertheless, the advent of target therapy has significantly improved patient outcome, provided that tumor molecular characteristics become available: the detection of drug-resistant clones can contribute to understanding the reasons for resistance onset, influencing the choice of subsequent therapy. This work aimed to provide a possible explanation for the early resistance to vemurafenib developed by a patient with melanoma, and concurrently to assess the extent, and role, of the tumor clonal heterogeneity. We analyzed tissue samples from different sites and time points: first/second primary, three lymph node metastases, and circulating melanoma cells (CMCs). We first investigated these samples by the routine Sanger sequencing for BRAF, NRAS, and KIT, and then, we focused on specific hotspots by droplet digital PCR. We detected a BRAF V600E mutation by Sanger sequencing in the second primary and distant lymph node metastases, but not in the first primary or sentinel lymph node. Interestingly, by droplet digital PCR, the V600E mutation was also detected in the first primary, and the V600K in the second primary and metastases. Moreover, we identified a rare KIT V569G mutation, appearing to be CMC exclusive. This finding confirms the potential of CMCs as a source of tumor material for genetic analysis, reflecting real-time systemic disease evolution and, most likely, the most aggressive, treatment-resistant clones. In summary, this work underlines the importance of CMCs in the early identification of tumor clones putatively responsible for therapy resistance.
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10
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Biological Rationale for Targeting MEK/ERK Pathways in Anti-Cancer Therapy and to Potentiate Tumour Responses to Radiation. Int J Mol Sci 2019; 20:ijms20102530. [PMID: 31126017 PMCID: PMC6567863 DOI: 10.3390/ijms20102530] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 05/16/2019] [Accepted: 05/21/2019] [Indexed: 02/07/2023] Open
Abstract
ERK1 and ERK2 (ERKs), two extracellular regulated kinases (ERK1/2), are evolutionary-conserved and ubiquitous serine-threonine kinases involved in regulating cell signalling in normal and pathological tissues. The expression levels of these kinases are almost always different, with ERK2 being the more prominent. ERK1/2 activation is fundamental for the development and progression of cancer. Since their discovery, much research has been dedicated to their role in mitogen-activated protein kinases (MAPK) pathway signalling and in their activation by mitogens and mutated RAF or RAS in cancer cells. In order to gain a better understanding of the role of ERK1/2 in MAPK pathway signalling, many studies have been aimed at characterizing ERK1/2 splicing isoforms, mutants, substrates and partners. In this review, we highlight the differences between ERK1 and ERK2 without completely discarding the hypothesis that ERK1 and ERK2 exhibit functional redundancy. The main goal of this review is to shed light on the role of ERK1/2 in targeted therapy and radiotherapy and highlight the importance of identifying ERK inhibitors that may overcome acquired resistance. This is a highly relevant therapeutic issue that needs to be addressed to combat tumours that rely on constitutively active RAF and RAS mutants and the MAPK pathway.
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11
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Wang J, Yao Z, Jonsson P, Allen AN, Qin ACR, Uddin S, Dunkel IJ, Petriccione M, Manova K, Haque S, Rosenblum MK, Pisapia DJ, Rosen N, Taylor BS, Pratilas CA. A Secondary Mutation in BRAF Confers Resistance to RAF Inhibition in a BRAFV600E-Mutant Brain Tumor. Cancer Discov 2018; 8:1130-1141. [PMID: 29880583 DOI: 10.1158/2159-8290.cd-17-1263] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Revised: 03/22/2018] [Accepted: 06/05/2018] [Indexed: 01/07/2023]
Abstract
BRAFV600E hyperactivates ERK and signals as a RAF inhibitor-sensitive monomer. Although RAF inhibitors can produce impressive clinical responses in patients with mutant BRAF tumors, the mechanisms of resistance to these drugs are incompletely characterized. Here, we report a complete response followed by clinical progression in a patient with a BRAFV600E-mutant brain tumor treated with dabrafenib. Whole-exome sequencing revealed a secondary BRAFL514V mutation at progression that was not present in the pretreatment tumor. Expressing BRAFV600E/L514V induces ERK signaling, promotes RAF dimer formation, and is sufficient to confer resistance to dabrafenib. Newer RAF dimer inhibitors and an ERK inhibitor are effective against BRAFL514V-mediated resistance. Collectively, our results validate a novel biochemical mechanism of RAF inhibitor resistance mediated by a secondary mutation, emphasizing that, like driver mutations in cancer, the spectrum of mutations that drive resistance to targeted therapy are heterogeneous and perhaps emerge with a lineage-specific prevalence.Significance: In contrast to receptor tyrosine kinases, in which secondary mutations are often responsible for acquired resistance, second-site mutations in BRAF have not been validated in clinically acquired resistance to RAF inhibitors. We demonstrate a secondary mutation in BRAF (V600E/L514V) following progression on dabrafenib and confirm functionally that this mutation is responsible for resistance. Cancer Discov; 8(9); 1130-41. ©2018 AACR.See related commentary by Romano and Kwong, p. 1064This article is highlighted in the In This Issue feature, p. 1047.
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Affiliation(s)
- Jiawan Wang
- Division of Pediatric Oncology, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
| | - Zhan Yao
- Molecular Pharmacology and Chemistry Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Philip Jonsson
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.,Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Amy N Allen
- Division of Pediatric Oncology, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
| | - Alice Can Ran Qin
- Division of Pediatric Oncology, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
| | - Sharmeen Uddin
- Molecular Pharmacology and Chemistry Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ira J Dunkel
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York.,Department of Pediatrics, Weill Cornell Medical College, New York, New York
| | - Mary Petriccione
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Katia Manova
- Developmental Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Sofia Haque
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marc K Rosenblum
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - David J Pisapia
- Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, New York
| | - Neal Rosen
- Molecular Pharmacology and Chemistry Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Barry S Taylor
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.,Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.,Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Christine A Pratilas
- Division of Pediatric Oncology, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland.
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12
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Leonetti A, Facchinetti F, Rossi G, Minari R, Conti A, Friboulet L, Tiseo M, Planchard D. BRAF in non-small cell lung cancer (NSCLC): Pickaxing another brick in the wall. Cancer Treat Rev 2018; 66:82-94. [PMID: 29729495 DOI: 10.1016/j.ctrv.2018.04.006] [Citation(s) in RCA: 97] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 03/28/2018] [Accepted: 04/20/2018] [Indexed: 02/07/2023]
Abstract
Molecular characterization of non-small cell lung cancer (NSCLC) marked an historical turning point for the treatment of lung tumors harboring kinase alterations suitable for specific targeted drugs inhibition, translating into major clinical improvements. Besides EGFR, ALK and ROS1, BRAF represents a novel therapeutic target for the treatment of advanced NSCLC. BRAF mutations, found in 1.5-3.5% of NSCLC, are responsible of the constitutive activation of mitogen activated protein kinase (MAPK)/extracellular signal-regulated kinase (ERK) pathway. Clinical trials evaluating the efficacy of the BRAF inhibitor dabrafenib in combination with the downstream MEK inhibitor trametinib in metastatic BRAFV600E-mutated NSCLC guaranteed FDA and EMA rapid approval of the combination regimen in this clinical setting. In line with the striking results observed in metastatic melanoma harboring the same molecular alteration, BRAF and MEK inhibition should be considered a new standard of care in this molecular subtype of NSCLC. In the present review, we propose an overview of the available evidence about BRAF in NSCLC mutations (V600E and non-V600E), from biological significance to emerging clinical implications of BRAF mutations detection. Focusing on the current strategies to act against the mutated kinase, we moreover approach additional strategies to overcome treatment resistance.
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Affiliation(s)
| | | | - Giulio Rossi
- Pathology Unit, Santa Maria delle Croci Hospital, Ravenna, Italy
| | - Roberta Minari
- Medical Oncology Unit, University Hospital of Parma, Parma, Italy
| | | | - Luc Friboulet
- INSERM, U981, Gustave Roussy Cancer Campus, Villejuif, France
| | - Marcello Tiseo
- Medical Oncology Unit, University Hospital of Parma, Parma, Italy.
| | - David Planchard
- Department of Medical Oncology, Gustave Roussy Cancer Campus, Villejuif, France
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13
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Hartung N, Huynh CTK, Gaudy-Marqueste C, Flavian A, Malissen N, Richard-Lallemand MA, Hubert F, Grob JJ. Study of metastatic kinetics in metastatic melanoma treated with B-RAF inhibitors: Introducing mathematical modelling of kinetics into the therapeutic decision. PLoS One 2017; 12:e0176080. [PMID: 28472075 PMCID: PMC5417482 DOI: 10.1371/journal.pone.0176080] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Accepted: 04/05/2017] [Indexed: 01/09/2023] Open
Abstract
Background Evolution of metastatic melanoma (MM) under B-RAF inhibitors (BRAFi) is unpredictable, but anticipation is crucial for therapeutic decision. Kinetics changes in metastatic growth are driven by molecular and immune events, and thus we hypothesized that they convey relevant information for decision making. Patients and methods We used a retrospective cohort of 37 MM patients treated by BRAFi only with at least 2 close CT-scans available before BRAFi, as a model to study kinetics of metastatic growth before, under and after BRAFi. All metastases (mets) were individually measured at each CT-scan. From these measurements, different measures of growth kinetics of each met and total tumor volume were computed at different time points. A historical cohort permitted to build a reference model for the expected spontaneous disease kinetics without BRAFi. All variables were included in Cox and multistate regression models for survival, to select best candidates for predicting overall survival. Results Before starting BRAFi, fast kinetics and moreover a wide range of kinetics (fast and slow growing mets in a same patient) were pejorative markers. At the first assessment after BRAFi introduction, high heterogeneity of kinetics predicted short survival, and added independent information over RECIST progression in multivariate analysis. Metastatic growth rates after BRAFi discontinuation was usually not faster than before BRAFi introduction, but they were often more heterogeneous than before. Conclusions Monitoring kinetics of different mets before and under BRAFi by repeated CT-scan provides information for predictive mathematical modelling. Disease kinetics deserves more interest
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Affiliation(s)
- Niklas Hartung
- Department of Clinical Pharmacy and Biochemistry, Institute of Pharmacy, Freie Universität Berlin, Berlin, Germany
| | - Cécilia T.-K. Huynh
- Aix-Marseille Université, APHM, Dermatology and skin cancers Department, Marseille, France
| | - Caroline Gaudy-Marqueste
- Aix-Marseille Université, APHM, Dermatology and skin cancers Department, Marseille, France
- Aix-Marseille Université, UMR_S 911 CRO2, Marseille, France
- * E-mail:
| | - Antonin Flavian
- APHM, Hopital Timone, Radiology department, Marseille, France
| | - Nausicaa Malissen
- Aix-Marseille Université, APHM, Dermatology and skin cancers Department, Marseille, France
| | - Marie-Aleth Richard-Lallemand
- Aix-Marseille Université, APHM, Dermatology and skin cancers Department, Marseille, France
- Aix-Marseille Université, UMR_S 911 CRO2, Marseille, France
| | - Florence Hubert
- Aix-Marseille Université, I2M, UMR 7373, CNRS, Centrale Marseille, Marseille, France
| | - Jean-Jacques Grob
- Aix-Marseille Université, APHM, Dermatology and skin cancers Department, Marseille, France
- Aix-Marseille Université, UMR_S 911 CRO2, Marseille, France
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14
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Obaid NM, Bedard K, Huang WY. Strategies for Overcoming Resistance in Tumours Harboring BRAF Mutations. Int J Mol Sci 2017; 18:ijms18030585. [PMID: 28282860 PMCID: PMC5372601 DOI: 10.3390/ijms18030585] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 02/07/2017] [Accepted: 02/23/2017] [Indexed: 12/19/2022] Open
Abstract
The development of resistance to previously effective treatments has been a challenge for health care providers and a fear for patients undergoing cancer therapy. This is an unfortunately frequent occurrence for patients undergoing targeted therapy for tumours harboring the activating V600E mutation of the BRAF gene. Since the initial identification of the BRAF mutation in 2002, a series of small molecular inhibitors that target the BRAFV600E have been developed, but intrinsic and acquired resistance to these drugs has presented an ongoing challenge. More recently, improvements in therapy have been achieved by combining the use of BRAF inhibitors with other drugs, such as inhibitors of the downstream effector mitogen activated protein kinase (MAPK)/extracellular-signal regulated kinase (ERK) kinase (MEK). Despite improved success in response rates and in delaying resistance using combination therapy, ultimately, the acquisition of resistance remains a concern. Recent research articles have shed light on some of the underlying mechanisms of this resistance and have proposed numerous strategies that might be employed to overcome or avoid resistance to targeted therapies. This review will explore some of the resistance mechanisms, compare what is known in melanoma cancer to colorectal cancer, and discuss strategies under development to manage the development of resistance.
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Affiliation(s)
| | - Karen Bedard
- Department of Pathology, Dalhousie University, Halifax, NS B3H 4R2, Canada.
| | - Weei-Yuarn Huang
- Department of Pathology, Dalhousie University, Halifax, NS B3H 4R2, Canada.
- Department of Pathology, Nova Scotia Health Authority, Halifax, NS B3H 1V8, Canada.
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15
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Abstract
Malignant melanoma of the skin is the most aggressive human cancer given that a primary tumor a few millimeters in diameter frequently has full metastatic competence. In view of that, revealing the genetic background of this potential may also help to better understand tumor dissemination in general. Genomic analyses have established the molecular classification of melanoma based on the most frequent driver oncogenic mutations (BRAF, NRAS, KIT) and have also revealed a long list of rare events, including mutations and amplifications as well as genetic microheterogeneity. At the moment, it is unclear whether any of these rare events have role in the metastasis initiation process since the major drivers do not have such a role. During lymphatic and hematogenous dissemination, the clonal selection process is evidently reflected by differences in oncogenic drivers in the metastases versus the primary tumor. Clonal selection is also evident during lymphatic progression, though the genetic background of this immunoselection is less clear. Genomic analyses of metastases identified further genetic alterations, some of which may correspond to metastasis maintenance genes. The natural genetic progression of melanoma can be modified by targeted (BRAF or MEK inhibitor) or immunotherapies. Some of the rare events in primary tumors may result in primary resistance, while further new genetic lesions develop during the acquired resistance to both targeted and immunotherapies. Only a few genetic lesions of the primary tumor are constant during natural or therapy-modulated progression. EGFR4 and NMDAR2 mutations, MITF and MET amplifications and PTEN loss can be considered as metastasis drivers. Furthermore, BRAF and MITF amplifications as well as PTEN loss are also responsible for resistance to targeted therapies, whereas NRAS mutation is the only founder genetic lesion showing any association with sensitivity to immunotherapies. Unfortunately, there are hardly any data on the possible organ-specific metastatic drivers in melanoma. These observations suggest that clinical management of melanoma patients must rely on the genetic analysis of the metastatic lesions to be able to monitor progression-associated changes and to personalize therapies.
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16
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Bins S, Cirkel GA, Gadellaa-Van Hooijdonk CG, Weeber F, Numan IJ, Bruggink AH, van Diest PJ, Willems SM, Veldhuis WB, van den Heuvel MM, de Knegt RJ, Koudijs MJ, van Werkhoven E, Mathijssen RHJ, Cuppen E, Sleijfer S, Schellens JHM, Voest EE, Langenberg MHG, de Jonge MJA, Steeghs N, Lolkema MP. Implementation of a Multicenter Biobanking Collaboration for Next-Generation Sequencing-Based Biomarker Discovery Based on Fresh Frozen Pretreatment Tumor Tissue Biopsies. Oncologist 2016; 22:33-40. [PMID: 27662884 DOI: 10.1634/theoncologist.2016-0085] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Accepted: 08/04/2016] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND The discovery of novel biomarkers that predict treatment response in advanced cancer patients requires acquisition of high-quality tumor samples. As cancer evolves over time, tissue is ideally obtained before the start of each treatment. Preferably, samples are freshly frozen to allow analysis by next-generation DNA/RNA sequencing (NGS) but also for making other emerging systematic techniques such as proteomics and metabolomics possible. Here, we describe the first 469 image-guided biopsies collected in a large collaboration in The Netherlands (Center for Personalized Cancer Treatment) and show the utility of these specimens for NGS analysis. PATIENTS AND METHODS Image-guided tumor biopsies were performed in advanced cancer patients. Samples were fresh frozen, vital tumor cellularity was estimated, and DNA was isolated after macrodissection of tumor-rich areas. Safety of the image-guided biopsy procedures was assessed by reporting of serious adverse events within 14 days after the biopsy procedure. RESULTS Biopsy procedures were generally well tolerated. Major complications occurred in 2.1%, most frequently consisting of pain. In 7.3% of the percutaneous lung biopsies, pneumothorax requiring drainage occurred. The majority of samples (81%) contained a vital tumor percentage of at least 30%, from which at least 500 ng DNA could be isolated in 91%. Given our preset criteria, 74% of samples were of sufficient quality for biomarker discovery. The NGS results in this cohort were in line with those in other groups. CONCLUSION Image-guided biopsy procedures for biomarker discovery to enable personalized cancer treatment are safe and feasible and yield a highly valuable biobank. The Oncologist 2017;22:33-40Implications for Practice: This study shows that it is safe to perform image-guided biopsy procedures to obtain fresh frozen tumor samples and that it is feasible to use these biopsies for biomarker discovery purposes in a Dutch multicenter collaboration. From the majority of the samples, sufficient DNA could be yielded to perform next-generation sequencing. These results indicate that the way is paved for consortia to prospectively collect fresh frozen tumor tissue.
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Affiliation(s)
- Sander Bins
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Departments of Medical Oncology
| | - Geert A Cirkel
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Department of Medical Oncology, University Medical Center Utrecht Cancer Center, Utrecht, The Netherlands
| | - Christa G Gadellaa-Van Hooijdonk
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Department of Medical Oncology, University Medical Center Utrecht Cancer Center, Utrecht, The Netherlands
| | - Fleur Weeber
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Departments of Molecular Oncology
| | - Isaac J Numan
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Center for Molecular Medicine
| | - Annette H Bruggink
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Central Biobank
| | - Paul J van Diest
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Departments of Pathology
| | - Stefan M Willems
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Departments of Pathology
| | - Wouter B Veldhuis
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Rob J de Knegt
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Marco J Koudijs
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Department of Medical Oncology, University Medical Center Utrecht Cancer Center, Utrecht, The Netherlands
| | - Erik van Werkhoven
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Biometrics
| | - Ron H J Mathijssen
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Departments of Medical Oncology
| | - Edwin Cuppen
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Center for Molecular Medicine
- Cancer Genomics Centre, Utrecht, The Netherlands
| | - Stefan Sleijfer
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Departments of Medical Oncology
- Cancer Genomics Centre, Utrecht, The Netherlands
| | - Jan H M Schellens
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Medical Oncology and Clinical Pharmacology, Antoni van Leeuwenhoek-The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Pharmaceutical Sciences, Science Faculty, Utrecht University, Utrecht, The Netherlands
| | - Emile E Voest
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Department of Pharmaceutical Sciences, Science Faculty, Utrecht University, Utrecht, The Netherlands
| | - Marlies H G Langenberg
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Department of Medical Oncology, University Medical Center Utrecht Cancer Center, Utrecht, The Netherlands
| | - Maja J A de Jonge
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Departments of Medical Oncology
| | - Neeltje Steeghs
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Medical Oncology and Clinical Pharmacology, Antoni van Leeuwenhoek-The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Martijn P Lolkema
- Center for Personalized Cancer Treatment, Utrecht, The Netherlands
- Departments of Medical Oncology
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17
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A Nexus Consisting of Beta-Catenin and Stat3 Attenuates BRAF Inhibitor Efficacy and Mediates Acquired Resistance to Vemurafenib. EBioMedicine 2016; 8:132-149. [PMID: 27428425 PMCID: PMC4919613 DOI: 10.1016/j.ebiom.2016.04.037] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2016] [Revised: 04/13/2016] [Accepted: 04/28/2016] [Indexed: 02/06/2023] Open
Abstract
Acquired resistance to second generation BRAF inhibitors (BRAFis), like vemurafenib is limiting the benefits of long term targeted therapy for patients with malignant melanomas that harbor BRAF V600 mutations. Since many resistance mechanisms have been described, most of them causing a hyperactivation of the MAPK- or PI3K/AKT signaling pathways, one potential strategy to overcome BRAFi resistance in melanoma cells would be to target important common signaling nodes. Known factors that cause secondary resistance include the overexpression of receptor tyrosine kinases (RTKs), alternative splicing of BRAF or the occurrence of novel mutations in MEK1 or NRAS. In this study we show that β-catenin is stabilized and translocated to the nucleus in approximately half of the melanomas that were analyzed and which developed secondary resistance towards BRAFi. We further demonstrate that β-catenin is involved in the mediation of resistance towards vemurafenib in vitro and in vivo. Unexpectedly, β-catenin acts mainly independent of the TCF/LEF dependent canonical Wnt-signaling pathway in resistance development, which partly explains previous contradictory results about the role of β-catenin in melanoma progression and therapy resistance. We further demonstrate that β-catenin interacts with Stat3 after chronic vemurafenib treatment and both together cooperate in the acquisition and maintenance of resistance towards BRAFi.
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18
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Boucher JI, Bolon DNA, Tawfik DS. Quantifying and understanding the fitness effects of protein mutations: Laboratory versus nature. Protein Sci 2016; 25:1219-26. [PMID: 27010590 DOI: 10.1002/pro.2928] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2016] [Revised: 03/21/2016] [Accepted: 03/21/2016] [Indexed: 11/11/2022]
Abstract
The last decade has seen a growing number of experiments aimed at systematically mapping the effects of mutations in different proteins, and of attempting to correlate their biophysical and biochemical effects with organismal fitness. While insightful, systematic laboratory measurements of fitness effects present challenges and difficulties. Here, we discuss the limitations associated with such measurements, and in particular the challenge of correlating the effects of mutations at the single protein level ("protein fitness") with their effects on organismal fitness. A variety of experimental setups are used, with some measuring the direct effects on protein function and others monitoring the growth rate of a model organism carrying the protein mutants. The manners by which fitness effects are calculated and presented also vary, and the conclusions, including the derived distributions of fitness effects of mutations, vary accordingly. The comparison of the effects of mutations in the laboratory to the natural protein diversity, namely to amino acid changes that have fixed in the course of millions of years of evolution, is also debatable. The results of laboratory experiments may, therefore, be less relevant to understanding long-term inter-species variations yet insightful with regard to short-term polymorphism, for example, in the study of the effects of human SNPs.
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Affiliation(s)
- Jeffrey I Boucher
- Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, Massachusetts, 01605
| | - Daniel N A Bolon
- Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, Massachusetts, 01605
| | - Dan S Tawfik
- Department of Biological Chemistry, Weizmann Institute of Science, Rehovot, 76100, Israel
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19
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Chand S, O'Hayer K, Blanco FF, Winter JM, Brody JR. The Landscape of Pancreatic Cancer Therapeutic Resistance Mechanisms. Int J Biol Sci 2016; 12:273-82. [PMID: 26929734 PMCID: PMC4753156 DOI: 10.7150/ijbs.14951] [Citation(s) in RCA: 75] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Pancreatic cancer (pancreatic ductal adenocarcinoma, PDA) is infamously moving to the top of the list as one of the most lethal cancers with an overall 5 year survival rate of 7%. Multiple genomic-based and molecular characterization studies of PDA specimens and established animal models have provided the field with multiple targets and a progression model of this disease. Still, to date, the best therapeutic options are surgery and combination cytotoxic therapies. In general, even in the best case scenario (i.e., an early stage diagnosis and a response to a specific therapy), most of these fortunate patients' PDA cells acquire or exert resistance mechanisms and eventually kill the patient. Herein, we touch on a growing field of investigation that focuses on PDA cell therapeutic resistance mechanisms. We examine extrinsic elements (i.e., the tumor microenvironment, hypoxia) to the intrinsic processes within the cell (i.e., post-transcriptional gene regulation and somatic mutations) that are important for therapeutic efficacy and resistance. Even as better targeted and personalized approaches move through the clinical trial pipeline the discussed resistance mechanisms will most likely play a role in the management of this deadly disease.
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Affiliation(s)
- Saswati Chand
- 1. Department of Surgery, The Jefferson Pancreas, Biliary, and Related Cancer Center
| | - Kevin O'Hayer
- 1. Department of Surgery, The Jefferson Pancreas, Biliary, and Related Cancer Center;; 2. Department of Medical Oncology, and the; 3. Department of Pharmacology & Experimental Therapeutics, Division of Clinical Pharmacology, Thomas Jefferson University, Philadelphia PA
| | - Fernando F Blanco
- 1. Department of Surgery, The Jefferson Pancreas, Biliary, and Related Cancer Center;; 3. Department of Pharmacology & Experimental Therapeutics, Division of Clinical Pharmacology, Thomas Jefferson University, Philadelphia PA
| | - Jordan M Winter
- 1. Department of Surgery, The Jefferson Pancreas, Biliary, and Related Cancer Center
| | - Jonathan R Brody
- 1. Department of Surgery, The Jefferson Pancreas, Biliary, and Related Cancer Center
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20
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Kuilman T, Velds A, Kemper K, Ranzani M, Bombardelli L, Hoogstraat M, Nevedomskaya E, Xu G, de Ruiter J, Lolkema MP, Ylstra B, Jonkers J, Rottenberg S, Wessels LF, Adams DJ, Peeper DS, Krijgsman O. CopywriteR: DNA copy number detection from off-target sequence data. Genome Biol 2015; 16:49. [PMID: 25887352 PMCID: PMC4396974 DOI: 10.1186/s13059-015-0617-1] [Citation(s) in RCA: 152] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2015] [Accepted: 02/20/2015] [Indexed: 12/13/2022] Open
Abstract
Current methods for detection of copy number variants (CNV) and aberrations (CNA) from targeted sequencing data are based on the depth of coverage of captured exons. Accurate CNA determination is complicated by uneven genomic distribution and non-uniform capture efficiency of targeted exons. Here we present CopywriteR, which eludes these problems by exploiting 'off-target' sequence reads. CopywriteR allows for extracting uniformly distributed copy number information, can be used without reference, and can be applied to sequencing data obtained from various techniques including chromatin immunoprecipitation and target enrichment on small gene panels. CopywriteR outperforms existing methods and constitutes a widely applicable alternative to available tools.
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Affiliation(s)
- Thomas Kuilman
- Division of Molecular Oncology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
| | - Arno Velds
- Central Genomic Facility, Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Kristel Kemper
- Division of Molecular Oncology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
| | - Marco Ranzani
- Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton, UK.
| | - Lorenzo Bombardelli
- Division of Molecular Genetics, Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Marlous Hoogstraat
- Division of Molecular Carcinogenesis, Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Ekaterina Nevedomskaya
- Division of Molecular Carcinogenesis, Netherlands Cancer Institute, Amsterdam, The Netherlands.
- Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Guotai Xu
- Division of Molecular Oncology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
| | - Julian de Ruiter
- Division of Molecular Carcinogenesis, Netherlands Cancer Institute, Amsterdam, The Netherlands.
- Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Martijn P Lolkema
- Center for Personalized Cancer Treatment, Amsterdam, The Netherlands.
| | - Bauke Ylstra
- Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands.
| | - Jos Jonkers
- Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Sven Rottenberg
- Division of Molecular Oncology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
- Vetsuisse Faculty, Institute of Animal Pathology, University of Bern, Bern, Switzerland.
| | - Lodewyk F Wessels
- Division of Molecular Carcinogenesis, Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - David J Adams
- Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton, UK.
| | - Daniel S Peeper
- Division of Molecular Oncology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
| | - Oscar Krijgsman
- Division of Molecular Oncology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
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