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Nogueira M, Matos I, Bernardo M, Tarelho LAC, Ferraria AM, Botelho do Rego AM, Fonseca I, Lapa N. Recovery of rare earth elements (Nd 3+ and Dy 3+) by using carbon-based adsorbents from spent tire rubber. Waste Manag 2024; 174:451-461. [PMID: 38113670 DOI: 10.1016/j.wasman.2023.12.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 11/27/2023] [Accepted: 12/11/2023] [Indexed: 12/21/2023]
Abstract
Two samples of spent tire rubber (rubber A and rubber B) were submitted to thermochemical conversion by pyrolysis process. A450, B450 and A900, B900 chars were obtained from rubber A and rubber B at 450 °C and 900 °C, respectively. The chars were then applied as recovery agents of Nd3+ and Dy3+ from aqueous solutions in mono and bicomponent solutions, and their performance was benchmarked with a commercial activated carbon. The chars obtained at 900 °C were the most efficient adsorbents for both elements with uptake capacities around 30 mg g-1. The chars obtained at 450 °C presented uptake capacities similar to the commercial carbon (≈ 11 mg g-1). A900 and B900 chars presented a higher availability of Zn ions that favored the ion exchange mechanism. It was found that Nd3+ and Dy3+ were adsorbed as oxides after Zn was released from silicate structures (Zn2SiO4). A900 char was further selected to be tested with Nd/Dy binary mixtures and it was found a trend to adsorb a slightly higher amount of Dy3+ due to its smaller ionic radius. The uptake capacity in bicomponent solutions was generally higher than for single component solutions due to the higher driving force triggered by the higher concentration gradient.
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Affiliation(s)
- M Nogueira
- LAQV/REQUIMTE, Departamento of Chemistry, NOVA School of Science and Technology, NOVA University Lisbon, 2829-516, Caparica, Portugal
| | - I Matos
- LAQV/REQUIMTE, Departamento of Chemistry, NOVA School of Science and Technology, NOVA University Lisbon, 2829-516, Caparica, Portugal.
| | - M Bernardo
- LAQV/REQUIMTE, Departamento of Chemistry, NOVA School of Science and Technology, NOVA University Lisbon, 2829-516, Caparica, Portugal.
| | - L A C Tarelho
- Centre for Environmental and Marine Studies, Department of Environment and Planning, University of Aveiro, Aveiro 3810-193, Portugal
| | - A M Ferraria
- BSIRG, IBB - Institute for Bioengineering and Biosciences, Departamento de Engenharia Química, Instituto Superior Técnico, Universidade de Lisboa, 1049-001, Lisboa, Portugal; Associate Laboratory i4HB-Institute for Health and Bioeconomy at Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1049-001, Lisboa, Portugal
| | - A M Botelho do Rego
- BSIRG, IBB - Institute for Bioengineering and Biosciences, Departamento de Engenharia Química, Instituto Superior Técnico, Universidade de Lisboa, 1049-001, Lisboa, Portugal; Associate Laboratory i4HB-Institute for Health and Bioeconomy at Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1049-001, Lisboa, Portugal
| | - I Fonseca
- LAQV/REQUIMTE, Departamento of Chemistry, NOVA School of Science and Technology, NOVA University Lisbon, 2829-516, Caparica, Portugal
| | - N Lapa
- LAQV/REQUIMTE, Departamento of Chemistry, NOVA School of Science and Technology, NOVA University Lisbon, 2829-516, Caparica, Portugal
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Aliseda D, Arredondo J, Sánchez-Justicia C, Alvarellos A, Rodríguez J, Matos I, Rotellar F, Baixauli J, Pastor C. Survival and safety after neoadjuvant chemotherapy or upfront surgery for locally advanced colon cancer: meta-analysis. Br J Surg 2024; 111:znae021. [PMID: 38381934 PMCID: PMC10881053 DOI: 10.1093/bjs/znae021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 12/28/2023] [Accepted: 01/06/2024] [Indexed: 02/23/2024]
Abstract
BACKGROUND Neoadjuvant chemotherapy is increasingly used to treat locally advanced (T3-4 Nx-2 M0) colon cancer due to its potential advantages over the standard approach of upfront surgery. The primary objective of this systematic review and meta-analysis was to analyse data from comparative studies to assess the impact of neoadjuvant chemotherapy on oncological outcomes. METHODS A systematic review was conducted by searching the MEDLINE and Scopus databases. The search encompassed RCTs, propensity score-matched studies, and controlled prospective studies published up to 1 April 2023. As a primary objective, overall survival and disease-free survival were compared. As a secondary objective, perioperative morbidity, mortality, and complete resection were compared using the DerSimonian and Laird models. RESULTS A total of seven studies comprising a total of 2120 patients were included. Neoadjuvant chemotherapy was associated with a reduction in the hazard of recurrence (HR 0.73, 95% c.i. 0.59 to 0.90; P = 0.003) and death (HR 0.67, 95% c.i. 0.54 to 0.83; P < 0.001) compared with upfront surgery. Additionally, neoadjuvant chemotherapy was significantly associated with higher 5-year overall survival (79.9% versus 72.6%; P < 0.001) and disease-free survival (73.1% versus 64.5%; P = 0.028) rates. No significant differences were observed in perioperative mortality (OR 0.97, 95% c.i. 0.28 to 3.33), overall complications (OR 0.95, 95% c.i. 0.77 to 1.16), or anastomotic leakage/intra-abdominal abscess (OR 0.88, 95% c.i. 0.60 to 1.29). However, neoadjuvant chemotherapy was associated with a lower risk of incomplete resection (OR 0.70, 95% c.i. 0.49 to 0.99). CONCLUSION Neoadjuvant chemotherapy is associated with a reduced hazard of recurrence and death, as well as improved overall survival and disease-free survival rates, compared with upfront surgery in patients with locally advanced colon cancer.
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Affiliation(s)
- Daniel Aliseda
- Department of General Surgery, Division of Colorectal Surgery, Clinica Universidad de Navarra, University of Navarra, Pamplona-Madrid, Spain
| | - Jorge Arredondo
- Department of General Surgery, Division of Colorectal Surgery, Clinica Universidad de Navarra, University of Navarra, Pamplona-Madrid, Spain
- Institute of Health Research of Navarra (IdisNA), Pamplona, Spain
| | - Carlos Sánchez-Justicia
- Department of General Surgery, Division of Colorectal Surgery, Clinica Universidad de Navarra, University of Navarra, Pamplona-Madrid, Spain
- Institute of Health Research of Navarra (IdisNA), Pamplona, Spain
| | - Alicia Alvarellos
- Department of General Surgery, Division of Colorectal Surgery, Clinica Universidad de Navarra, University of Navarra, Pamplona-Madrid, Spain
| | - Javier Rodríguez
- Institute of Health Research of Navarra (IdisNA), Pamplona, Spain
- Department of Oncology, Clinica Universidad de Navarra, University of Navarra, Pamplona-Madrid, Spain
| | - Ignacio Matos
- Institute of Health Research of Navarra (IdisNA), Pamplona, Spain
- Department of Oncology, Clinica Universidad de Navarra, University of Navarra, Pamplona-Madrid, Spain
| | - Fernando Rotellar
- Department of General Surgery, Division of Colorectal Surgery, Clinica Universidad de Navarra, University of Navarra, Pamplona-Madrid, Spain
- Institute of Health Research of Navarra (IdisNA), Pamplona, Spain
| | - Jorge Baixauli
- Department of General Surgery, Division of Colorectal Surgery, Clinica Universidad de Navarra, University of Navarra, Pamplona-Madrid, Spain
- Institute of Health Research of Navarra (IdisNA), Pamplona, Spain
| | - Carlos Pastor
- Department of General Surgery, Division of Colorectal Surgery, Clinica Universidad de Navarra, University of Navarra, Pamplona-Madrid, Spain
- Institute of Health Research of Navarra (IdisNA), Pamplona, Spain
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Galvez-Cancino F, Simpson AP, Costoya C, Matos I, Qian D, Peggs KS, Litchfield K, Quezada SA. Fcγ receptors and immunomodulatory antibodies in cancer. Nat Rev Cancer 2024; 24:51-71. [PMID: 38062252 DOI: 10.1038/s41568-023-00637-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/10/2023] [Indexed: 12/24/2023]
Abstract
The discovery of both cytotoxic T lymphocyte-associated antigen 4 (CTLA4) and programmed cell death protein 1 (PD1) as negative regulators of antitumour immunity led to the development of numerous immunomodulatory antibodies as cancer treatments. Preclinical studies have demonstrated that the efficacy of immunoglobulin G (IgG)-based therapies depends not only on their ability to block or engage their targets but also on the antibody's constant region (Fc) and its interactions with Fcγ receptors (FcγRs). Fc-FcγR interactions are essential for the activity of tumour-targeting antibodies, such as rituximab, trastuzumab and cetuximab, where the killing of tumour cells occurs at least in part due to these mechanisms. However, our understanding of these interactions in the context of immunomodulatory antibodies designed to boost antitumour immunity remains less explored. In this Review, we discuss our current understanding of the contribution of FcγRs to the in vivo activity of immunomodulatory antibodies and the challenges of translating results from preclinical models into the clinic. In addition, we review the impact of genetic variability of human FcγRs on the activity of therapeutic antibodies and how antibody engineering is being utilized to develop the next generation of cancer immunotherapies.
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Affiliation(s)
- Felipe Galvez-Cancino
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Alexander P Simpson
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Cristobal Costoya
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Ignacio Matos
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Danwen Qian
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Tumour Immunogenomics and Immunosurveillance Laboratory, University College London Cancer Institute, London, UK
| | - Karl S Peggs
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Kevin Litchfield
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Tumour Immunogenomics and Immunosurveillance Laboratory, University College London Cancer Institute, London, UK
| | - Sergio A Quezada
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK.
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
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Luri-Rey C, Eguren-Santamaria I, Matos I, Berraondo P, Melero I. Druggable Targets in Cytokine Release Syndromes. Clin Cancer Res 2023; 29:4320-4322. [PMID: 37656058 DOI: 10.1158/1078-0432.ccr-23-1975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 08/09/2023] [Accepted: 08/22/2023] [Indexed: 09/02/2023]
Abstract
Bispecific T-cell engagers and chimeric antigen receptor T cells share the problem of eliciting acute systemic inflammation episodes known as cytokine release syndrome. Knowledge on the sequential waves of cytokines that can be neutralized with clinically available agents is crucial to prevent or treat this condition without jeopardizing the antitumor therapeutic outcome. See related article by Leclercq-Cohen et al., p. 4449.
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Affiliation(s)
- Carlos Luri-Rey
- Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Iñaki Eguren-Santamaria
- Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- Department of Oncology, Clinica Universidad de Navarra, Madrid, Spain
| | - Ignacio Matos
- Department of Oncology, Clinica Universidad de Navarra, Madrid, Spain
| | - Pedro Berraondo
- Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain
| | - Ignacio Melero
- Program of Immunology and Immunotherapy, CIMA Universidad de Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- Department of Oncology, Clinica Universidad de Navarra, Madrid, Spain
- Department of Immunology and Immunotherapy, Clínica Universidad de Navarra, Pamplona, Spain
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
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Lozano-Rabella M, Garcia-Garijo A, Palomero J, Yuste-Estevanez A, Erhard F, Farriol-Duran R, Martín-Liberal J, Ochoa-de-Olza M, Matos I, Gartner JJ, Ghosh M, Canals F, Vidal A, Piulats JM, Matías-Guiu X, Brana I, Muñoz-Couselo E, Garralda E, Schlosser A, Gros A. Exploring the Immunogenicity of Noncanonical HLA-I Tumor Ligands Identified through Proteogenomics. Clin Cancer Res 2023; 29:2250-2265. [PMID: 36749875 PMCID: PMC10261919 DOI: 10.1158/1078-0432.ccr-22-3298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 12/20/2022] [Accepted: 02/03/2023] [Indexed: 02/09/2023]
Abstract
PURPOSE Tumor antigens are central to antitumor immunity. Recent evidence suggests that peptides from noncanonical (nonC) aberrantly translated proteins can be presented on HLA-I by tumor cells. Here, we investigated the immunogenicity of nonC tumor HLA-I ligands (nonC-TL) to better understand their contribution to cancer immunosurveillance and their therapeutic applicability. EXPERIMENTAL DESIGN Peptides presented on HLA-I were identified in 9 patient-derived tumor cell lines from melanoma, gynecologic, and head and neck cancer through proteogenomics. A total of 507 candidate tumor antigens, including nonC-TL, neoantigens, cancer-germline, or melanocyte differentiation antigens, were tested for T-cell recognition of preexisting responses in patients with cancer. Donor peripheral blood lymphocytes (PBL) were in vitro sensitized against 170 selected nonC-TL to isolate antigen-specific T-cell receptors (TCR) and evaluate their therapeutic potential. RESULTS We found no recognition of the 507 nonC-TL tested by autologous ex vivo expanded tumor-reactive T-cell cultures while the same cultures demonstrated reactivity to mutated, cancer-germline, or melanocyte differentiation antigens. However, in vitro sensitization of donor PBL against 170 selected nonC-TL, led to the identification of TCRs specific to three nonC-TL, two of which mapped to the 5' UTR regions of HOXC13 and ZKSCAN1, and one mapping to a noncoding spliced variant of C5orf22C. T cells targeting these nonC-TL recognized cancer cell lines naturally presenting their corresponding antigens. Expression of the three immunogenic nonC-TL was shared across tumor types and barely or not detected in normal cells. CONCLUSIONS Our findings predict a limited contribution of nonC-TL to cancer immunosurveillance but demonstrate they may be attractive novel targets for widely applicable immunotherapies. See related commentary by Fox et al., p. 2173.
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Affiliation(s)
- Maria Lozano-Rabella
- Tumor Immunology and Immunotherapy, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Andrea Garcia-Garijo
- Tumor Immunology and Immunotherapy, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Jara Palomero
- Tumor Immunology and Immunotherapy, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Anna Yuste-Estevanez
- Tumor Immunology and Immunotherapy, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Florian Erhard
- Institute for Virology and Immunobiology, University of Würzburg, Würzburg, Germany
| | - Roc Farriol-Duran
- Tumor Immunology and Immunotherapy, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Juan Martín-Liberal
- Early Drug Development Unit (UITM) Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital, Barcelona, Spain
| | - Maria Ochoa-de-Olza
- Early Drug Development Unit (UITM) Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital, Barcelona, Spain
| | - Ignacio Matos
- Early Drug Development Unit (UITM) Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital, Barcelona, Spain
| | - Jared J. Gartner
- Surgery Branch, National Cancer Institute (NCI), National Institutes of Health, Bethesda, Maryland
| | - Michael Ghosh
- Institute for Cell Biology Department of Immunology, University of Tübingen, Tübingen, Germany
| | - Francesc Canals
- Proteomics, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital, Barcelona, Spain
| | - August Vidal
- Department of Pathology. Hospital Universitari de Bellvitge-IDIBELL, CIBERONC, Barcelona, Spain
| | - Josep Maria Piulats
- Medical Oncology, Catalan Institute of Cancer (ICO), IDIBELL-Oncobell, Hospitalet de Llobregat, Spain
| | - Xavier Matías-Guiu
- Department of Pathology. Hospital Universitari de Bellvitge-IDIBELL, CIBERONC, Barcelona, Spain
| | - Irene Brana
- Early Drug Development Unit (UITM) Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital, Barcelona, Spain
| | - Eva Muñoz-Couselo
- Melanoma and other skin tumors unit, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital, Barcelona, Spain
| | - Elena Garralda
- Early Drug Development Unit (UITM) Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital, Barcelona, Spain
| | - Andreas Schlosser
- Rudolf Virchow Center, Center for Integrative and Translational Bioimaging, Julius-Maximilians-University Würzburg, Würzburg, Germany
| | - Alena Gros
- Tumor Immunology and Immunotherapy, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
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Li LX, Cappuzzo F, Matos I, Socinski MA, Hopkins AM, Sorich MJ. Low Risk of Hyperprogression with First-Line Chemoimmunotherapy for Advanced Non-Small Cell Lung Cancer: Pooled Analysis of 7 Clinical Trials. Oncologist 2023; 28:e205-e211. [PMID: 36905578 PMCID: PMC10078909 DOI: 10.1093/oncolo/oyad043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 01/23/2023] [Indexed: 03/12/2023] Open
Abstract
BACKGROUND Monotherapy immune checkpoint inhibitor (ICI) used in second- or later-line settings has been reported to induce hyperprogression. This study evaluated hyperprogression risk with ICI (atezolizumab) in the first-, second-, or later-line treatment of advanced non-small cell lung cancer (NSCLC), and provides insights into hyperprogression risk with contemporary first-line ICI treatment. METHODS Hyperprogression was identified using Response Evaluation Criteria in Solid Tumours (RECIST)-based criteria in a dataset of pooled individual-participant level data from BIRCH, FIR, IMpower130, IMpower131, IMpower150, OAK, and POPLAR trials. Odds ratios were computed to compare hyperprogression risks between groups. Landmark Cox proportional-hazard regression was used to evaluate the association between hyperprogression and progression-free survival/overall survival. Secondarily, putative risk factors for hyperprogression among second- or later-line atezolizumab-treated patients were evaluated using univariate logistic regression models. RESULTS Of the included 4644 patients, 119 of the atezolizumab-treated patients (n = 3129) experienced hyperprogression. Hyperprogression risk was markedly lower with first-line atezolizumab-either chemoimmunotherapy or monotherapy-compared to second/later-line atezolizumab monotherapy (0.7% vs. 8.8%, OR = 0.07, 95% CI, 0.04-0.13). Further, there was no statistically significant difference in hyperprogression risk with first-line atezolizumab-chemoimmunotherapy versus chemotherapy alone (0.6% vs. 1.0%, OR = 0.55, 95% CI, 0.22-1.36). Sensitivity analyses using an extended RECIST-based criteria including early death supported these findings. Hyperprogression was associated with worsened overall survival (HR = 3.4, 95% CI, 2.7-4.2, P < .001); elevated neutrophil-to-lymphocyte ratio was the strongest risk factor for hyperprogression (C-statistic = 0.62, P < .001). CONCLUSIONS This study presents first evidence for a markedly lower hyperprogression risk in advanced NSCLC patients treated with first-line ICI, particularly with chemoimmunotherapy, as compared to second- or later-line ICI treatment.
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Affiliation(s)
- Lee X Li
- Department of Clinical Pharmacology, College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Federico Cappuzzo
- Oncology Department, Istituto Nazionale Tumori IRCCS "Regina Elena", Rome, Italy
| | - Ignacio Matos
- Department of Oncology, Clinica Universidad de Navarra, Madrid, Spain.,Research Department of Haematology, Cancer Immunology Unit, University College London Cancer Institute, London, UK
| | - Mark A Socinski
- Thoracic Oncology, AdventHealth Cancer Institute, Orlando, FL, USA
| | - Ashley M Hopkins
- Department of Clinical Pharmacology, College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Michael J Sorich
- Department of Clinical Pharmacology, College of Medicine and Public Health, Flinders University, Adelaide, Australia
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Yofe I, Landsberger T, Yalin A, Solomon I, Costoya C, Demane DF, Shah M, David E, Borenstein C, Barboy O, Matos I, Peggs KS, Quezada SA, Amit I. Anti-CTLA-4 antibodies drive myeloid activation and reprogram the tumor microenvironment through FcγR engagement and type I interferon signaling. Nat Cancer 2022; 3:1336-1350. [PMID: 36302895 DOI: 10.1038/s43018-022-00447-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 09/20/2022] [Indexed: 11/15/2022]
Abstract
Despite the clinical success of checkpoint inhibitors, a substantial gap still exists in our understanding of their mechanism of action. While antibodies to cytotoxic T lymphocyte-associated protein-4 (CTLA-4) were developed to block inhibitory signals in T cells, several recent studies have demonstrated that Fcγ receptor (FcγR)-dependent depletion of regulatory T cells (Treg) is critical for antitumor activity. Here, using single-cell RNA sequencing, we dissect the impact of anti-CTLA-4-blocking, Treg cell-depleting and FcR-engaging activity on the immune response within tumors. We observed a rapid remodeling of the innate immune landscape as early as 24 h after treatment. Using genetic Treg cell ablation models, we show that immune remodeling was not driven solely by Treg cell depletion or CTLA-4 blockade but mainly through FcγR engagement, downstream activation of type I interferon signaling and reduction of suppressive macrophages. Our findings indicate that FcγR engagement and innate immune remodeling are involved in successful anti-CTLA-4 treatment, supporting the development of optimized immunotherapy agents bearing these features.
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Affiliation(s)
- Ido Yofe
- Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Tomer Landsberger
- Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Adam Yalin
- Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Isabelle Solomon
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Cristobal Costoya
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Dafne Franz Demane
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Mansi Shah
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Eyal David
- Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Chamutal Borenstein
- Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Oren Barboy
- Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Ignacio Matos
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Karl S Peggs
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Sergio A Quezada
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK.
| | - Ido Amit
- Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel.
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Yofe I, Landsberger T, Yalin A, Solomon I, Costoya C, Demane DF, Shah M, David E, Borenstein C, Barboy O, Matos I, Peggs KS, Quezada SA, Amit I. Author Correction: Anti-CTLA-4 antibodies drive myeloid activation and reprogram the tumor microenvironment through FcγR engagement and type I interferon signaling. Nat Cancer 2022; 3:1404. [PMID: 36376510 DOI: 10.1038/s43018-022-00487-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Affiliation(s)
- Ido Yofe
- Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Tomer Landsberger
- Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Adam Yalin
- Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Isabelle Solomon
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Cristobal Costoya
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Dafne Franz Demane
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Mansi Shah
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Eyal David
- Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Chamutal Borenstein
- Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Oren Barboy
- Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Ignacio Matos
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Karl S Peggs
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | - Sergio A Quezada
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK.
| | - Ido Amit
- Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel.
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Ochsenreither S, Fiedler WM, Del Conte G, Macchini M, Matos I, Habel B, Ahrens-Fath I, Raspagliesi F, Lorusso D, Keilholz U, Rolling C, Kebenko M, Klinghammer KF, Saavedra O, Baumeister H, Zurlo A, Garralda A. Erratum to 'Safety and preliminary activity results of the GATTO study, a phase Ib study combining the anti-TA-MUC1 antibody Gatipotuzumab with the anti-EGFR Tomuzotuximab in patients with refractory solid tumors': [ESMO Open Volume 7, Issue 2, April 2022, 100447]. ESMO Open 2022; 7:100549. [PMID: 35841804 DOI: 10.1016/j.esmoop.2022.100549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Affiliation(s)
- S Ochsenreither
- Charité Comprehensive Cancer Center, Berlin; Charité, Department of Hematology, Oncology and Tumor Immunology, Berlin; German Cancer Consortium (DKTK), Berlin.
| | - W M Fiedler
- University Medical Center Hamburg-Eppendorf, Hubertus-Wald University Cancer Center, Hamburg, Germany
| | - G Del Conte
- Fondazione IRCCS San Raffaele Hospital, Milan, Italy
| | - M Macchini
- Fondazione IRCCS San Raffaele Hospital, Milan, Italy
| | - I Matos
- Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain
| | - B Habel
- Glycotope GmbH, Berlin, Germany
| | | | - F Raspagliesi
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - D Lorusso
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - U Keilholz
- Charité Comprehensive Cancer Center, Berlin; German Cancer Consortium (DKTK), Berlin; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - C Rolling
- University Medical Center Hamburg-Eppendorf, Hubertus-Wald University Cancer Center, Hamburg, Germany
| | - M Kebenko
- University Medical Center Hamburg-Eppendorf, Hubertus-Wald University Cancer Center, Hamburg, Germany
| | - K F Klinghammer
- Charité Comprehensive Cancer Center, Berlin; Charité, Department of Hematology, Oncology and Tumor Immunology, Berlin
| | - O Saavedra
- Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain
| | | | - A Zurlo
- Glycotope GmbH, Berlin, Germany
| | - A Garralda
- Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain
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Ochsenreither S, Fiedler WM, Conte GD, Macchini M, Matos I, Habel B, Ahrens-Fath I, Raspagliesi F, Lorusso D, Keilholz U, Rolling C, Kebenko M, Klinghammer KF, Saavedra O, Baumeister H, Zurlo A, Garralda E. Safety and preliminary activity results of the GATTO study, a phase Ib study combining the anti-TA-MUC1 antibody gatipotuzumab with the anti-EGFR tomuzotuximab in patients with refractory solid tumors. ESMO Open 2022; 7:100447. [PMID: 35397434 PMCID: PMC9058922 DOI: 10.1016/j.esmoop.2022.100447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 01/17/2022] [Accepted: 02/09/2022] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND The phase I GATTO study (NCT03360734) explored the feasibility, tolerability and preliminary activity of combining gatipotuzumab, a novel humanized monoclonal antibody binding to the tumor-associated epitope of mucin 1 (TA-MUC1) and an anti-epidermal growth factor receptor (anti-EGFR) antibody in refractory solid tumors. PATIENTS AND METHODS Initially the study enrolled primary phase (PP) patients with EGFR-positive metastatic solid tumors, for whom no standard treatment was available. Patients received gatipotuzumab administered at 1400 mg every 2 weeks, 6 weeks after the start of the glyco-optimized anti-EGFR antibody tomuzotuximab at 1200 mg every 2 weeks. As this regimen was proven safe, enrollment continued in an expansion phase (EP) of patients with refractory metastatic colorectal cancer, non-small-cell lung cancer, head and neck cancer and breast cancer. Tomuzotuximab and gatipotuzumab were given at the same doses and gatipotuzumab treatment started 1 week after the first dose of the anti-EGFR antibody. Additionally, investigators could use a commercial anti-EGFR antibody in place of tomuzotuximab. RESULTS A total of 52 patients were enrolled, 20 in the PP and 32 in the EP. The combined treatment was well tolerated and no dose-limiting toxicity was observed in the whole study, nor related serious adverse event or death. Preliminary activity of the combination was observed, with one and four RECIST partial responses in the PP and EP, all in colorectal cancer patients. The trial was accompanied by a comprehensive translational research program for identification of biomarkers, including soluble TA-MUC1 (sTA-MUC1) in serum. In the EP, patients with baseline sTA-MUC1 levels above the median appeared to have improved progression-free survival and overall survival. CONCLUSIONS Combination of a TA-MUC1-targeting antibody and an EGFR-targeting antibody is safe and feasible. Interesting antitumor activity was observed in heavily pretreated patients. Future studies should test this combination together with chemotherapy and explore the potential of sTA-MUC1 as a companion biomarker for further development of the combination.
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Affiliation(s)
- S Ochsenreither
- Charité Comprehensive Cancer Center, Berlin, Germany; Charité, Department of Hematology, Oncology and Tumor Immunology, Berlin, Germany; German Cancer Consortium (DKTK), Berlin, Germany.
| | - W M Fiedler
- University Medical Center Hamburg-Eppendorf, Hubertus-Wald University Cancer Center, Hamburg, Germany
| | - G D Conte
- Fondazione IRCCS San Raffaele Hospital, Milan, Italy
| | - M Macchini
- Fondazione IRCCS San Raffaele Hospital, Milan, Italy
| | - I Matos
- Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain
| | - B Habel
- Glycotope GmbH, Berlin, Germany
| | | | - F Raspagliesi
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - D Lorusso
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - U Keilholz
- Charité Comprehensive Cancer Center, Berlin, Germany; German Cancer Consortium (DKTK), Berlin, Germany; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - C Rolling
- University Medical Center Hamburg-Eppendorf, Hubertus-Wald University Cancer Center, Hamburg, Germany
| | - M Kebenko
- University Medical Center Hamburg-Eppendorf, Hubertus-Wald University Cancer Center, Hamburg, Germany
| | - K F Klinghammer
- Charité Comprehensive Cancer Center, Berlin, Germany; Charité, Department of Hematology, Oncology and Tumor Immunology, Berlin, Germany
| | - O Saavedra
- Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain
| | | | - A Zurlo
- Glycotope GmbH, Berlin, Germany
| | - E Garralda
- Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain
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Lozano-Rabella M, Garcia-Garijo A, Palomero J, Erhard F, Martín-Liberal J, Matos I, Gartner J, Rosenberg S, Ghosh M, Canals F, Vidal A, Piulats JM, Matias-Guiu X, Braña I, Muñoz E, Garralda E, Schlosser A, Gros A. 912 Preferential recognition of neoantigens over non-canonical peptides in cancer patients. J Immunother Cancer 2021. [DOI: 10.1136/jitc-2021-sitc2021.912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
BackgroundDespite recent advances in exome and RNA sequencing to identify tumor-rejection antigens including neoantigens, the existing techniques fail to identify the vast majority of antigens targeted by tumor-reactive cells. A growing number of studies suggest that HLA-I peptides derived from non-canonical (nonC) open reading frames or derived from allegedly non-coding regions can contribute to tumor immunogenicity. Here we use proteogenomics to identify personalized candidate canonical and non-canonical tumor-rejection antigens and to evaluate their contribution to cancer immune surveillance in patients.MethodsWhole exome sequencing was performed to identify the non-synonymous somatic mutations (NSM) and immunopeptidomics to identify the HLA-I presented peptides (pHLA) in 9 patient-derived tumor cell lines (TCL). Peptid-PRISM proteogenomics pipeline was used to identify both canonical and non-canonical pHLA, including those derived from NSM in coding regions. All peptides containing mutations and derived from either cancer-testis (CTA) or tumor-associated antigens (TAA) were selected as candidate tumor antigens. For nonC peptides, an immunopeptidomics healthy dataset containing several tissues and HLA-allotypes was used to eliminate those derived from normal ORFs and select nonC peptides preferentially expressed in tumor cells (nonC-TE). The selected candidate peptides were synthesized, pulsed onto autologous APCs and co-cultured with tumor-reactive ex vivo expanded lymphocytes to assess immune recognition (figure 1).ResultsNonC-TE peptides were identified in all TCL studied, ranging from 0.5% to 5.4% of the total HLA-I presented peptides (n= 506). As described previoulsy, 5’UTR were the main source. Of note, the tumor type did not have an impact on the frequency of presented nonC peptides, but rather the presence of HLA-A*11:01 and HLA-A*03:01 was a major determinant. T cell responses were detected against at least 13/33 putative neoantigens, 2/24 CTA and 2/61 TAA. On the contrary, none of the 471 nonC-TE candidate peptides tested thus far, including one containing a NSM were able to elicit a recall immune response. Nevertheless, T cells recognizing at least 3 of them were detected through in vitro sensitization of non-autologous PBMCs.Abstract 912 Figure 1Workflow diagramTumor biopsies and blood samples are obtained from cancer patients (left panel). Patient-derived tumor cell lines are generated in vitro, the peptides presented on HLA molecules are further isolated and analyzed in a mass-spectrometer (top panel). Whole exome sequencing (WES) from matched tumor and healthy tissue is performed to identify the non-synonymous somatic mutations (NSM) (middle panel). Peptide-PRISM proteogenomics pipeline combines the information from the immunopeptidomics data and WES to identify pHLA sequences from both canonical and non-canonical candidate tumor antigens (top right panel). Lymphocyte populations either TILs or sorted PBMCs are expanded and further screened for pre-existing T cell responses (bottom panel) against the candidate epitopes by co-culturing the T cells with peptide-pulsed autologous APC. The recognition is assessed by measuring IFNg release by elispot and the upregulation of activation surface markers by FACS (bottom right panel).ConclusionsOur results show that although HLA-I nonC peptides were frequently presented in all TCLs studied and they can be immunogenic, neoantigens derived from mutations in canonical coding regions were preferentially recognized by tumor-reactive lymphocytes, suggesting T cells targeting the latter are primed more efficiently. The identification of mutated nonC antigens using whole genome sequencing to identify mutations in non-coding regions warrants further examination. Still, the specificity of many tumor-reactive TILs remains unknown.Ethics Approval”This study was approved by the ”Comité de Ética de Investigación con Medicamentos del Hospital Universitario Vall d’Hebron” institution’s Ethics Board; approval number PR(AG)537/2019.”
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Matos I, Villacampa G, Hierro C, Martin-Liberal J, Berché R, Pedrola A, Braña I, Azaro A, Vieito M, Saavedra O, Gardeazabal I, Hernando-Calvo A, Alonso G, Galvao V, Ochoa de Olza M, Ros J, Viaplana C, Muñoz-Couselo E, Elez E, Rodon J, Saura C, Macarulla T, Oaknin A, Carles J, Felip E, Tabernero J, Dienstmann R, Garralda E. Phase I prognostic online (PIPO): A web tool to improve patient selection for oncology early phase clinical trials. Eur J Cancer 2021; 155:168-178. [PMID: 34385069 DOI: 10.1016/j.ejca.2021.05.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 05/31/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE Patient selection in phase 1 clinical trials (Ph1t) continues to be a challenge. The aim of this study was to develop a user-friendly prognostic calculator for predicting overall survival (OS) outcomes in patients to be included in Ph1t with immune checkpoint inhibitors (ICIs) or targeted agents (TAs) based on clinical parameters assessed at baseline. METHODS Using a training cohort with consecutive patients from the VHIO phase 1 unit, we constructed a prognostic model to predict median OS (mOS) as a primary endpoint and 3-month (3m) OS rate as a secondary endpoint. The model was validated in an internal cohort after temporal data splitting and represented as a web application. RESULTS We recruited 799 patients (training and validation sets, 558 and 241, respectively). Median follow-up was 21.2 months (m), mOS was 10.2 m (95% CI, 9.3-12.7) for ICIs cohort and 7.7 m (95% CI, 6.6-8.6) for TAs cohort. In the multivariable analysis, six prognostic variables were independently associated with OS - ECOG, number of metastatic sites, presence of liver metastases, derived neutrophils/(leukocytes minus neutrophils) ratio [dNLR], albumin and lactate dehydrogenase (LDH) levels. The phase 1 prognostic online (PIPO) calculator showed adequate discrimination and calibration performance for OS, with C-statistics of 0.71 (95% CI 0.64-0.78) in the validation set. The overall accuracy of the model for 3m OS prediction was 87.2% (95% CI 85%-90%). CONCLUSIONS PIPO is a user-friendly objective and interactive tool to calculate specific survival probabilities for each patient before enrolment in a Ph1t. The tool is available at https://pipo.vhio.net/.
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Affiliation(s)
- Ignacio Matos
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain; Deparment of Medicine, Universidad Autónoma de Barcelona, Spain.
| | - Guillermo Villacampa
- Oncology Data Science (OdysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Cinta Hierro
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Juan Martin-Liberal
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Roger Berché
- Oncology Data Science (OdysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Anna Pedrola
- Oncology Data Science (OdysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Irene Braña
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Analia Azaro
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Maria Vieito
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Omar Saavedra
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Itziar Gardeazabal
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Alberto Hernando-Calvo
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Guzmán Alonso
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Vladimir Galvao
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Maria Ochoa de Olza
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Javier Ros
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Cristina Viaplana
- Oncology Data Science (OdysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Eva Muñoz-Couselo
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Elena Elez
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Jordi Rodon
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Cristina Saura
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Teresa Macarulla
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Ana Oaknin
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Joan Carles
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain; Deparment of Medicine, Universidad Autónoma de Barcelona, Spain
| | - Enriqueta Felip
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Josep Tabernero
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain; Department of Medicine, UVic-UCC, Spain
| | - Rodrigo Dienstmann
- Oncology Data Science (OdysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Elena Garralda
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.
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Subbiah V, Hu MI, Wirth LJ, Schuler M, Mansfield AS, Curigliano G, Brose MS, Zhu VW, Leboulleux S, Bowles DW, Baik CS, Adkins D, Keam B, Matos I, Garralda E, Gainor JF, Lopes G, Lin CC, Godbert Y, Sarker D, Miller SG, Clifford C, Zhang H, Turner CD, Taylor MH. Pralsetinib for patients with advanced or metastatic RET-altered thyroid cancer (ARROW): a multi-cohort, open-label, registrational, phase 1/2 study. Lancet Diabetes Endocrinol 2021; 9:491-501. [PMID: 34118198 DOI: 10.1016/s2213-8587(21)00120-0] [Citation(s) in RCA: 157] [Impact Index Per Article: 52.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 04/19/2021] [Accepted: 04/20/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND Oncogenic alterations in RET represent important therapeutic targets in thyroid cancer. We aimed to assess the safety and antitumour activity of pralsetinib, a highly potent, selective RET inhibitor, in patients with RET-altered thyroid cancers. METHODS ARROW, a phase 1/2, open-label study done in 13 countries across 71 sites in community and hospital settings, enrolled patients 18 years or older with RET-altered locally advanced or metastatic solid tumours, including RET-mutant medullary thyroid and RET fusion-positive thyroid cancers, and an Eastern Co-operative Oncology Group performance status of 0-2 (later limited to 0-1 in a protocol amendment). Phase 2 primary endpoints assessed for patients who received 400 mg once-daily oral pralsetinib until disease progression, intolerance, withdrawal of consent, or investigator decision, were overall response rate (Response Evaluation Criteria in Solid Tumours version 1.1; masked independent central review) and safety. Tumour response was assessed for patients with RET-mutant medullary thyroid cancer who had received previous cabozantinib or vandetanib, or both, or were ineligible for standard therapy and patients with previously treated RET fusion-positive thyroid cancer; safety was assessed for all patients with RET-altered thyroid cancer. This ongoing study is registered with clinicaltrials.gov, NCT03037385, and enrolment of patients with RET fusion-positive thyroid cancer was ongoing at the time of this interim analysis. FINDINGS Between Mar 17, 2017, and May 22, 2020, 122 patients with RET-mutant medullary and 20 with RET fusion-positive thyroid cancers were enrolled. Among patients with baseline measurable disease who received pralsetinib by July 11, 2019 (enrolment cutoff for efficacy analysis), overall response rates were 15 (71%) of 21 (95% CI 48-89) in patients with treatment-naive RET-mutant medullary thyroid cancer and 33 (60%) of 55 (95% CI 46-73) in patients who had previously received cabozantinib or vandetanib, or both, and eight (89%) of nine (95% CI 52-100) in patients with RET fusion-positive thyroid cancer (all responses confirmed for each group). Common (≥10%) grade 3 and above treatment-related adverse events among patients with RET-altered thyroid cancer enrolled by May 22, 2020, were hypertension (24 patients [17%] of 142), neutropenia (19 [13%]), lymphopenia (17 [12%]), and anaemia (14 [10%]). Serious treatment-related adverse events were reported in 21 patients (15%), the most frequent (≥2%) of which was pneumonitis (five patients [4%]). Five patients [4%] discontinued owing to treatment-related events. One (1%) patient died owing to a treatment-related adverse event. INTERPRETATION Pralsetinib is a new, well-tolerated, potent once-daily oral treatment option for patients with RET-altered thyroid cancer. FUNDING Blueprint Medicines.
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Affiliation(s)
- Vivek Subbiah
- Department of Investigational Cancer Therapeutics, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Mimi I Hu
- Department of Endocrine Neoplasia and Hormonal Disorders, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lori J Wirth
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Martin Schuler
- West German Cancer Center Essen, Department of Medical Oncology, University Hospital Essen and German Cancer Consortium, Partner site University Hospital Essen, Essen, Germany
| | | | - Giuseppe Curigliano
- European Institute of Oncology, IRCCS and University of Milano, Milano, Italy
| | - Marcia S Brose
- Abramson Cancer Center at the University of Pennsylvania, Philadelphia, PA, USA
| | - Viola W Zhu
- Department of Medicine, University of California Irvine School of Medicine, Orange, CA, USA
| | - Sophie Leboulleux
- Department of Nuclear Medicine and Endocrine Oncology, Gustav Roussy and University Paris Saclay, Villejuif, France
| | - Daniel W Bowles
- Division of Medical Oncology, University of Colorado School of Medicine, Aurora, CO, USA
| | | | - Douglas Adkins
- Washington University School of Medicine, St Louis, MO, USA
| | - Bhumsuk Keam
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Ignacio Matos
- Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Elena Garralda
- Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | | | - Gilberto Lopes
- Sylvester Comprehensive Cancer Center at the University of Miami, Miami, FL, USA
| | - Chia-Chi Lin
- National Taiwan University Hospital, Taipei, Taiwan
| | - Yann Godbert
- Bergonié Institute Cancer Center, Bordeaux, France
| | | | | | | | - Hui Zhang
- Blueprint Medicines, Cambridge, MA, USA
| | | | - Matthew H Taylor
- Earle A Chiles Research Institute, Providence Portland Medical Center, Portland, OR, USA
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Wainberg Z, Matos I, Delord J, Cassier P, Gil-Martin M, Kim T, LoRusso P, Bahleda R, Italiano A, Mendus D, Hoang T, Xue C, Wen X, Carvalho O, Pham T, Patil N, Meng R, Bendell J, Cervantes A, Cho B. LBA-5 Phase Ib study of the anti-TIGIT antibody tiragolumab in combination with atezolizumab in patients with metastatic esophageal cancer. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.06.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Garralda E, Del Conte G, Macchini M, Matos I, Klinghammer KF, Saavedra Santa Gadea O, Fiedler WM, Rolling CC, Kebenko M, Raspagliesi F, Larusso D, ahrens-Fath I, Habel B, Baumeister H, Zurlo A, Ochsenreither S. Activity results of the GATTO study, a phase Ib study combining the anti-TA-MUC1 antibody gatipotuzumab with the anti-EGFR tomuzotuximab or panitumumab in patients with refractory solid tumors. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.2522] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
2522 Background: The phase I GATTO study explored the feasibility, tolerability and preliminary activity of combining Gatipotuzumab (GAT), a novel humanized monoclonal antibody binding to the tumor-associated epitope of mucin-1 (TA-MUC1), and an anti-EGFR antibody. Preclinical evidence suggests a complex interaction between TA-MUC1 and EGFR on the cell surface of epithelial tumors and synergistic antibody dependent cell cytotoxicity activity with the double targeting. Methods: Initially 20 patients with refractory metastatic disease were treated with GAT administered at 1400 mg Q2W in combination with the glyco-optimized anti-EGFR antibody Tomuzotuximab (TOM) at 1200 mg Q2W. Due to the risk of infusion related reactions, three cycles of TOM were given before start of combined treatment with GAT. After this regimen was proven safe and no DLT was observed, 30 additional patients including colorectal cancer (CRC) already treated with anti-EGFR antibodies, non-small cell lung cancer (NSCLC), head and neck and breast cancers received TOM and GAT administered at the same doses, with GAT treatment starting already one week after the first dose of the anti-EGFR antibody. As allowed in the study expansion, Panitumumab (PAN) was used in place of TOM in 9 CRC patients at investigator’s choice. Results: By the time of the final analysis in January 2021, 52 patients were enrolled, and 50 received at least one dose of both GAT and anti-EGFR antibodies. Safety was overall good and results are reported in a separate abstract. Because of the difference in treatment schedule, activity results of the two parts of the study are summarized separately. There were 2 and 4 RECIST partial responses in the first and second part of the study, all in CRC patients. In the expansion phase, the median Progression Free Survival (PFS) of CRC patients who received TOM (10) and PAN (9) was 1.9 and 5.5 months, respectively. There were 2 responses in each subgroup and the duration of response was 3.8 and 7.2 months in patients receiving TOM and PAN, respectively. The PFS for NSCLC was 5.3 months and 2 heavily pretreated patients achieved a prolonged control of disease of 10.6 and 9.4 months. The trial was accompanied by a comprehensive translational research program for identification of biomarkers, including soluble TA-MUC1 in serum. In the extension phase patients with baseline values above median appeared to have improved PFS and overall survival; this was not the case for patients of the first part of the study who received GAT only after 3 doses of TOM. Conclusions: Combination of TA-MUC1 and EGFR targeting antibody is safe and feasible. Interesting anti-tumor activity was observed in heavily pretreated CRC and NSCLC patients. Levels of soluble TA-MUC1 may have predictive value and potentially be a companion biomarker for further development of the combination Clinical trial information: NCT03360734.
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Affiliation(s)
- Elena Garralda
- Early Drug Development Unit (UITM), Vall d'Hebron University Hospital and Institute of Oncology (VHIO) and Medical Oncology, Vall d’Hebron University Hospital (HUVH), Barcelona, Spain
| | - Gianluca Del Conte
- Department of Medical Oncology, San Raffaele Scientific Institute, Milan, Italy
| | - Marina Macchini
- Department of Medical Oncology, San Raffaele Scientific Institute, Milan, Italy
| | - Ignacio Matos
- Early Drug Development Unit (UITM), Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain
| | | | - Omar Saavedra Santa Gadea
- Early Drug Development Unit (UITM), Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain
| | - Walter M. Fiedler
- University Medical Center Hamburg-Eppendorf, Hubertus-Wald University Cancer Center, Hamburg, Germany
| | - Christina C Rolling
- University Medical Center Hamburg-Eppendorf, Hubertus-Wald University Cancer Center, Hamburg, Germany
| | - Maxim Kebenko
- University Medical Center Hamburg-Eppendorf, Hubertus-Wald University Cancer Center, Hamburg, Germany
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Galvao V, Matos I, Moreno A, Alonso G, Brana I, Villar M, Saavedra Santa Gadea O, Oberoi HK, Ros J, Berche R, Ann Wornham N, Arenillas C, Saura C, Oaknin A, Felip E, Muñoz-Couselo E, Elez E, Tabernero J, Toledo R, Garralda E. Impact of circulating tumor DNA (ctDNA) detection on survival outcomes of patients (pts) treated with immune-checkpoint inhibitors (ICIs) in early clinical trials. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.2542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
2542 Background: Detection of ctDNA is a promising tool for managing pts in oncology. Most methods require whole-genome sequencing of tumor samples followed by the design of personalized panels for tracking purposes. In this work, we evaluated the prognostic and predictive value of total ctDNA quantification, using shallow whole-genome sequencing (shWGS) exclusively from plasma samples, in a prospective cohort of pts treated with ICIs in early clinical trials. Methods: IchorCNA pipeline was used to quantify ctDNA of shWGS from plasma ctDNA samples of pts treated with ICIs in phase 1 trials, collected at baseline and prior to cycle 2 (prec2). We investigated the association and correlation of ctDNA levels with surrogate markers for tumor burden (LDH levels, summatory of target lesions (TL), liver metastasis) using Spearman and Kruskal-Wallis tests. Kaplan-Meier estimates of overall survival (OS) of pts with baseline detectable ctDNA levels versus undetectable ctDNA were calculated. A multivariate Cox proportional hazards model, including continuous classical prognostic factors (LDH, albumin, hemoglobin, derived Neutrophil-to-Lymphocyte ratio (dNLR), platelets, number of metastases sites, ECOG PS) and ctDNA was performed. An estimate of progression free survival (PFS) of pts with ctDNA increase levels in preC2 versus a non-increase group was evaluated. Results: Since January 2018, 113 pts with no standard-treatment options were included. Median (m) follow up was 14.8 months (mo). Baseline ctDNA levels correlated significantly with baseline TL (R = 0.4, p < 0.001) and LDH levels (R = 0.61, p < 0.001). Pts with liver metastasis had higher levels of ctDNA (11,68 ng/ml) versus pts with no liver disease (2,31 ng/ml) (p < 0,001). In the survival analysis pts with detectable baseline ctDNA (74 pts) had significantly shorter OS compared with pts with undetectable ctDNA (39 pts); median 9.6 m (8.4 – 16.4) and NA m (13.6-NA), respectively (HR = 2.25 [1.18-4.29] p < 0.01). In the multivariate analysis, only ctDNA and albumin levels maintained the impact in OS (HR = 1.03, p < 0.05 and HR = 0.22, p < 0.05, respectively). Pts with early increases in ctDNA had a shorter PFS compared with those with a stabilization or decrease, median 1.9 m (1.6 – 4.0) and 3.0 m (2.6 – 3.8), respectively (HR = 2.19 [1.31-3.67], p < 0.01). Conclusions: Quantification of baseline ctDNA using shWGS is a strong independent prognostic factor. Early dynamic changes of ctDNA could be a useful tool to predict PFS outcomes.
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Affiliation(s)
- Vladimir Galvao
- Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | | | - Ana Moreno
- Vall d´Hebron Institute Oncology, Barcelona, Spain
| | - Guzman Alonso
- Vall d’Hebron Institute of Oncology and Vall d'Hebron University Hospital, Barcelona, Spain
| | - Irene Brana
- Vall d’Hebron University Hospital, Vall d’Hebrón Institute of Oncology, Barcelona, Spain
| | - Maria Villar
- Vall d’Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain
| | | | | | - Javier Ros
- Vall d’Hebron Institute of Oncology (VHIO), Medical Oncology, Vall d’Hebron University Hospital (HUVH), Barcelona, Spain
| | - Roger Berche
- Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | | | | | - Cristina Saura
- Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Ana Oaknin
- Vall d’Hebron University Hospital, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Enriqueta Felip
- Medical Oncology Department, Vall d’Hebron University Hospital, Barcelona, Spain
| | - Eva Muñoz-Couselo
- Medical Oncology Department, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Elena Elez
- Vall d’Hebron Institute of Oncology (VHIO), Medical Oncology, Vall d’Hebron University Hospital (HUVH), Barcelona, Spain
| | - Josep Tabernero
- Vall d’Hebron University Hospital and Vall d’Hebron Institute of Oncology (VHIO), UVic-UCC, Barcelona, Spain
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Ochsenreither S, Zurlo A, Garralda E, Matos I, Klinghammer KF, Del Conte G, Macchini M, Rolling CC, Kebenko M, Saavedra Santa Gadea O, Raspagliesi F, Larusso D, ahrens-Fath I, Habel B, Baumeister H, Fiedler WM. Safety and tolerability results of the GATTO study, a phase Ib study combining the anti-TA-MUC1 antibody gatipotuzumab with the anti-EGFR tomuzotuximab or panitumumab in patients with refractory solid tumors. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.2524] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
2524 Background: The phase I GATTO study explored the feasibility, tolerability and preliminary activity of combining gatipotuzumab (GAT), a novel humanized monoclonal antibody binding to the tumor-associated epitope of mucin-1 (TA-MUC1) and an anti-EGFR antibody. Preclinical evidence suggests a complex interaction between TA-MUC1 and EGFR on the cell surface of epithelial tumors driving carcinogenesis processes and synergistic antibody dependent cell cytotoxicity activity with the dual targeting. Methods: Initially the study enrolled in a primary phase (PP) 20 patients with EGFR positive metastatic solid tumors, for whom no standard treatment was available. The first 6 patients were enrolled into a safety run-in phase and the number of dose-limiting toxicities (DLTs) was evaluated, in order to de-escalate the doses if needed. Patients received GAT administered at 1400 mg Q2W in combination with the glyco-optimized anti-EGFR antibody tomuzotuximab (TOM) at 1200 mg Q2W. Due to the risk of infusion related reactions (IRR), the first dose of TOM was reduced to 720 mg split over 2 consecutive days and three cycles of TOM monotherapy were given before start of treatment with GAT. As this regimen was proven safe, no DLT was observed and the initial dose remained unchanged, the study was amended to enroll in an expansion phase (EP) 30 additional patients with refractory colorectal cancer (CRC), non-small cell lung cancer (NSCLC), head and neck and breast cancers. TOM and GAT were given at the same doses and GAT treatment started already one week after the first dose of the anti-EGFR antibody. Additionally investigator had the choice to use a commercial anti-EGFR antibody in place of TOM. Results: By the time of the final analysis in January 2021, 52 refractory patients were enrolled and 50 received at least one dose of both GAT and anti-EGFR antibodies. Panitumumab (PAN) was used in 9 CRC patients. Because of the difference in treatment schedule, results are summarized separately for the 20 and 30 patients in PP and EP. Overall, the combined treatment was well tolerated and no DLT was observed in the whole study, nor related SAE or death. There were no treatment emergent adverse events (TEAEs) leading to dose interruptions or reductions in the PP and 2/30 (6.7%) patients in EP stopped both TOM and GAT. 16 IRRs were reported in 8/20 (40%) PP patients, and 40 IRRs in 10 (33.3%) EP patients. Only one event of chills was severe and only 6 events were related to GAT in the EP, all others to TOM. Other frequent TEAEs were those commonly observed with anti-EGFR treatment such as skin toxicity in 17 (85%) PP and 26 (86.7%) EP patients and hypomagnesemia in 10 (50%) PP and 7 (23.3%) EP patients. Conclusions: Combination of TA-MUC1 and EGFR targeting antibody is safe and feasible. Future studies should test this combination together with chemotherapy Clinical trial information: NCT03360734.
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Affiliation(s)
| | | | - Elena Garralda
- Early Drug Development Unit (UITM), Vall d'Hebron University Hospital and Institute of Oncology (VHIO) and Medical Oncology, Vall d’Hebron University Hospital (HUVH), Barcelona, Spain
| | - Ignacio Matos
- Early Drug Development Unit (UITM), Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain
| | | | - Gianluca Del Conte
- Department of Medical Oncology, San Raffaele Scientific Institute, Milan, Italy
| | - Marina Macchini
- Department of Medical Oncology, San Raffaele Scientific Institute, Milan, Italy
| | - Christina C Rolling
- University Medical Center Hamburg-Eppendorf, Hubertus-Wald University Cancer Center, Hamburg, Germany
| | - Maxim Kebenko
- University Medical Center Hamburg-Eppendorf, Hubertus-Wald University Cancer Center, Hamburg, Germany
| | - Omar Saavedra Santa Gadea
- Early Drug Development Unit (UITM), Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain
| | | | | | | | | | | | - Walter M. Fiedler
- University Medical Center Hamburg-Eppendorf, Hubertus-Wald University Cancer Center, Hamburg, Germany
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Saavedra Santa Gadea O, Hernando-Calvo A, Berche R, Vieito M, Brana I, Matos I, Alonso G, Galvao V, Azaro A, Oberoi HK, Ann Wornham N, Ros J, Grau Béjar JF, García C, Macarulla T, Capdevila J, Elez E, Tabernero J, Dienstmann R, Garralda E. Evaluating the role of immune-checkpoint inhibitor (ICI) combinations in patients (pts) with unselected “cold” tumors enrolled in early clinical trials (CT). J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.2597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
2597 Background: In order to improve the expected response rate (ORR) of less than 10% in cold tumors, several ICI combinations are being evaluated in clinical trials. However, most of these trials don’t require any biomarker and pts are included based solely in histology. We aimed to assess the benefit of ICI combinations in pts with unselected cold tumors included in early CT. Methods: ICI naïve pts with cold tumors treated from 2015 to 2021 with ICI combinations in early CT at VHIO were reviewed. Clinico-pathological data and anti-tumor activity were extracted from a prospective database. ORR was defined as per RECIST v1.1 and clinical benefit rate (CBR) as complete/partial response (CR/PR) + stable disease (SD) for ≥ 4 months (m). Kaplan Meier estimates of progression-free survival (PFS) and overall survival (OS) were calculated and a Cox model according to LIPI (Lung Immune Prognostic Index = baseline LDH and derived neutrophil to lymphocyte ratio) was constructed. Immune-related adverse events (irAE) were classified as per CTCAE v.4.03. Hyperprogressive disease (HPD) was evaluated using RECIST v1.1 (Matos et al, 2020). Results: Out of 97 pts, median age was 62y, 61% had ECOG 0 and 29.8% had LIPI 0 (good prognostic score). Most pts had microsatellite stable (MSS) colorectal cancer (60.8%) or ovarian cancer (14.4%). Regimens included anti-PD1/L1 + another ICI in 69% (most commonly anti-LAG3 [26,8%] and CD40 agonist [20.9%]), anti-PD1/L1 + other molecule in 21.7% (most commonly SHP2 inhibitor [33.3%] and anti p53-HDM2 [28.5%]) and bispecific antibodies in 9.3% (anti-PD1/L1 + anti-LAG3 or CD137 agonist). No patient achieved a response. CBR was 15.3% (11 pts with MSS colorectal cancer, 2 ovarian cancer, 1 olfactory neuroblastoma, 1 paraganglioma). 33 pts (34%) presented irAE, 15 pts (15.5%) had irAE ≥ G2, 4 pts (4.1%) had G3 irAE (dry mouth, hypertransaminasemia, myocarditis and neutrophils count decreased) and 1 patient (1%) had G4 hyperglicemia. 58 pts (59.7%) had progressive disease (PD) as best response, 19 of these pts (32.7%) presented irAE. Overall, 20 pts (20.6%) met definition of HPD, representing 34.4% of pts with PD as best response. Median PFS for overall and CBR population were 1.9 m (CI95% 1.7-2.0) and 5.9 m (5.4-NR), respectively. Median OS for overall population was 7.6 m (5.9-9.5), with a trend for improved OS if LIPI good score vs. others (12.6 m vs. 6.2 m, hazard ratio 1.9, (CI 95% 1.1-3.3), p = 0.02). Among hyperprogressors, median OS was 5.33 m (3.39 - NR) and significantly worse LIPI scores (intermediate [1] or poor [2]) were observed as compared to pts with CBR (75% vs 53.3% p = 0.001). Conclusions: ICI combinations demonstrated very limited activity in pts with unselected cold tumors. However, the risk for irAE and HPD remain substantial. Further drug-biomarker co-development strategies are urgently needed to increase the risk benefit ratio for these pts.
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Affiliation(s)
| | | | - Roger Berche
- Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Maria Vieito
- Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Barcelona, Spain
| | - Irene Brana
- Vall d’Hebron University Hospital, Vall d’Hebrón Institute of Oncology, Barcelona, Spain
| | | | - Guzman Alonso
- Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - Vladimir Galvao
- Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Analia Azaro
- Vall d'Hebron Institute of Oncology, VHIO, Barcelona, Spain
| | - Honey Kumar Oberoi
- Vall d’Hebron Institute of Oncology (VHIO), Medical Oncology, Vall d’Hebron University Hospital (HUVH), Barcelona, Spain
| | | | - Javier Ros
- Vall d’Hebron Institute of Oncology (VHIO), Medical Oncology, Vall d’Hebron University Hospital (HUVH), Barcelona, Spain
| | | | | | | | - Jaume Capdevila
- Vall d’Hebron Institute of Oncology (VHIO), Medical Oncology, Vall d’Hebron University Hospital (HUVH), Barcelona, Spain
| | - Elena Elez
- Vall d’Hebron Institute of Oncology (VHIO), Medical Oncology, Vall d’Hebron University Hospital (HUVH), Barcelona, Spain
| | - Josep Tabernero
- Vall d’Hebron University Hospital and Vall d’Hebron Institute of Oncology (VHIO), UVic-UCC, Barcelona, Spain
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Oberoi HK, Serres-Créixams X, Alonso G, Matos I, Hernando-Calvo A, Muñoz-Couselo E, Diez M, Baraibar I, Vieito M, Saavedra Santa Gadea O, Galvao V, Mur-Bonet G, Cunill-Macià G, Oliveira M, Felip E, Macarulla T, Elez E, Tabernero J, Brana I, Garralda E. ItRECIST adapted efficacy assessment in solid tumors treated with intratumoral immunotherapy. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.2557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
2557 Background: The development of human intratumoral therapy (HIT-IT) has surged as a promising strategy to overcome resistance to checkpoint inhibitors (CPI), promoting a stronger tumor-specific immune response while reducing systemic exposure. A broad variety of agents (i.e: oncolytic viruses, toll-like receptors agonists) administered both in superficial- and deep-seated lesions are being currently tested in clinical trials (CT). Due to the local intervention on tumors, radiological assessment by standard RECIST is challenging and new methods of response that capture and integrate the local and systemic response to HIT-IT are needed. We aimed to evaluate the feasibility and clinical utility of itRECIST (Goldmacher et al., 2020) in patients (pts) treated with HIT-IT in early phase CT. Methods: Retrospective analysis of a cohort of pts with different solid tumor types enrolled in CT including HIT-IT in our institution between August’18 and January’21. Clinical characteristics were collected. Efficacy in target-injected (T-I) and target-non-injected (T-NI) lesions was assessed by objective response rate (ORR) and disease control rate (DCR), as per itRECIST. Overall disease ORR and DCR were assessed per RECIST 1.1/iRECIST. Treatment-related adverse events (TRAEs) were assessed with CTCAE v.5.0. ORR was calculated with Clopper-Pearson method. Survival analysis was made using Kaplan-Meier method. Results: A total of 37 pts were included. Median age was 66 years, 19 pts (51%) were male, all pts had ECOG 0-1. 24 pts (65%) were CPI-naïve. Median previous lines of therapy was 2 (range [r]: 0-11). All pts (100%) received minimum 1 dose of HIT-IT. 6 pts (16%) were treated with monotherapy and 31 pts (84%) in combination with CPI. Median HIT-IT and CPI doses administered were 4 (r: 1-9) and 2 (r: 1-13), respectively. Injected lesions: cutaneous (16.2%), subcutaneous (21.6%), lymph node (32.4%), liver (29.7%). Median size of T-I lesions was 40 mm (r: 19-260). At data cutoff, 32 pts were evaluable. Median follow-up was 14.4 weeks (r: 1.0-81.1). Per RECIST 1.1, overall ORR was 6% (95% CI, 5-7) and DCR was 38% (95% CI, 21-56). Per itRECIST, ORR was 19% (95% CI, 7-36) and DCR was 63% (95% CI, 44-79) in T-I lesions (n = 32), and 10% (95% CI, 22-27) and 48% (95% CI, 29-67) in T-NI lesions (n = 29). Mean decrease in responding T-I and T-NI lesions was -47% (r: -21 to -100) and -41% (r: -26 to -59), respectively. No non-target (NT) lesion was injected. Median progression-free survival was 7.4 weeks (95% CI, 6.6 – 8.2). Median overall survival was 10.0 months (95% CI, 2.3 – 17.7). Incidence of TRAE was 58% (grade 1-2 IT-related pyrexia 43%; grade 3-4, 5%). No treatment-related deaths were recorded. Conclusions: ItRECIST is feasible to implement and adds precision to the radiological assessment of local and distant anti-tumor activity of HIT-IT. No safety issues were detected in our cohort.
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Affiliation(s)
- Honey Kumar Oberoi
- Vall d’Hebron Institute of Oncology (VHIO), Medical Oncology, Vall d’Hebron University Hospital (HUVH), Barcelona, Spain
| | | | - Guzman Alonso
- Vall d’Hebron Institute of Oncology (VHIO), Medical Oncology, Vall d’Hebron University Hospital (HUVH), Barcelona, Spain
| | - Ignacio Matos
- Vall d’Hebron Institute of Oncology (VHIO), Medical Oncology, Vall d’Hebron University Hospital (HUVH), Barcelona, Spain
| | - Alberto Hernando-Calvo
- Vall d’Hebron Institute of Oncology (VHIO), Medical Oncology, Vall d’Hebron University Hospital (HUVH), Barcelona, Spain
| | - Eva Muñoz-Couselo
- Vall d’Hebron Institute of Oncology (VHIO), Medical Oncology, Vall d’Hebron University Hospital (HUVH), Barcelona, Spain
| | - Marc Diez
- Vall d’Hebron Institute of Oncology (VHIO), Medical Oncology, Vall d’Hebron University Hospital (HUVH), Barcelona, Spain
| | - Iosune Baraibar
- Vall d’Hebron Institute of Oncology (VHIO), Medical Oncology, Vall d’Hebron University Hospital (HUVH), Barcelona, Spain
| | - Maria Vieito
- Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Barcelona, Spain
| | | | - Vladimir Galvao
- Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | | | | | | | - Enriqueta Felip
- Vall d’Hebron Institute of Oncology (VHIO), Medical Oncology, Vall d’Hebron University Hospital (HUVH), Barcelona, Spain
| | - Teresa Macarulla
- Vall d’Hebron Institute of Oncology (VHIO), Medical Oncology, Vall d’Hebron University Hospital (HUVH), Barcelona, Spain
| | - Elena Elez
- Vall d’Hebron Institute of Oncology (VHIO), Medical Oncology, Vall d’Hebron University Hospital (HUVH), Barcelona, Spain
| | - Josep Tabernero
- Vall d’Hebron University Hospital and Vall d’Hebron Institute of Oncology (VHIO), UVic-UCC, Barcelona, Spain
| | - Irene Brana
- Vall d’Hebron University Hospital, Vall d’Hebrón Institute of Oncology, Barcelona, Spain
| | - Elena Garralda
- Vall d’Hebron Institute of Oncology (VHIO), Medical Oncology, Vall d’Hebron University Hospital (HUVH), Barcelona, Spain
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Capdevila J, Fazio N, Lopez C, Teulé A, Valle JW, Tafuto S, Custodio A, Reed N, Raderer M, Grande E, Garcia-Carbonero R, Jimenez-Fonseca P, Hernando J, Bongiovanni A, Spada F, Alonso V, Antonuzzo L, Spallanzani A, Berruti A, La Casta A, Sevilla I, Kump P, Giuffrida D, Merino X, Trejo L, Gajate P, Matos I, Lamarca A, Ibrahim T. Lenvatinib in Patients With Advanced Grade 1/2 Pancreatic and Gastrointestinal Neuroendocrine Tumors: Results of the Phase II TALENT Trial (GETNE1509). J Clin Oncol 2021; 39:2304-2312. [PMID: 33945297 DOI: 10.1200/jco.20.03368] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
PURPOSE Approved systemic therapies for advanced gastroenteropancreatic neuroendocrine tumors (GEP-NETs) have shown limited capacity to reduce tumor burden and no antitumor activity after progression to targeted agents (TAs). We investigated the efficacy and safety of lenvatinib in patients with previously treated advanced GEP-NETs. PATIENTS AND METHODS This was a multicenter, single-arm, open-label, phase II trial with two parallel cohorts (ClinicalTrials.gov identifier: NCT02678780) involving 21 institutions in 4 European countries. Eligible patients had histologically confirmed advanced grade 1-2 pancreatic (panNET) or GI (GI-NET) NETs with documented tumor progression after treatment with a TA (panNET) or somatostatin analogs (GI-NET). Patients were treated with lenvatinib 24 mg once daily until disease progression or treatment intolerance. The primary end point was overall response rate by central radiology review. Secondary end points included progression-free survival, overall survival, duration of response, and safety. RESULTS Between September 2015 and March 2017, a total of 111 patients were enrolled, with 55 (panNET) and 56 (GI-NET) patients in each cohort. The median follow-up was 23 months. The overall response rate was 29.9% (95% CI, 21.6 to 39.6): 44.2% (panNET) and 16.4% (GI-NET). The median (range) duration of response was 19.9 (8.4-30.8) and 33.9 (10.6-38.3) months in the panNET and GI-NET groups, respectively. The median progression-free survival was 15.7 months (95% CI, 14.1 to 19.5). The most common adverse events were fatigue, hypertension, and diarrhea; 93.7% of patients required dose reductions or interruptions. CONCLUSION We report the highest centrally confirmed response reported to date with a multikinase inhibitor in advanced GEP-NETs, with a particularly strong response in the panNET cohort. This study provides novel evidence for the efficacy of lenvatinib in patients with disease progression following treatment with other TAs, suggesting the potential value of lenvatinib in the treatment of advanced GEP-NETs.
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Affiliation(s)
- Jaume Capdevila
- Vall Hebron University Hospital and Vall Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Nicola Fazio
- European Institute of Oncology, Milan, IEO, IRCCS, Italy
| | - Carlos Lopez
- Marques de Valdecilla University Hospital, IDIVAL Santander, Spain
| | - Alexandre Teulé
- Catalan Institute of Oncology (ICO), L'Hospitalet (Barcelona), Spain
| | - Juan W Valle
- University of Manchester and The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Salvatore Tafuto
- S.C. Sarcomi e Tumori Rari, Istituto Nazionale Tumori, IRCCS, Fondazione "G. Pascale," Naples, Italy
| | | | - Nicholas Reed
- Gartnavel Hospital, Beatson Oncology Centre, Glasgow, Scotland
| | | | | | | | | | - Jorge Hernando
- Vall Hebron University Hospital and Vall Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Alberto Bongiovanni
- Osteoncology and Rare Tumours Center, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
| | | | | | - Lorenzo Antonuzzo
- Clinical Oncology Unit, AOU Careggi, Firenze, Italy and Department of Experimental and Clinical Medicine, University of Firenze, Firenze, Italy
| | - Andrea Spallanzani
- Division of Oncology, Department of Oncology and Hematology, University Hospital of Modena, Modena, Italy
| | - Alfredo Berruti
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Medical Oncology, University of Brescia, ASST-Spedali Civili, Brescia, Italy
| | | | - Isabel Sevilla
- Investigación Clínica y Traslacional en Cáncer/Instituto de Investigaciones Biomédicas de Málaga (IBIMA)/Hospitales Universitarios Regional y Virgen de la Victoria de Málaga, Malaga, Spain
| | | | | | - Xavier Merino
- Vall Hebron University Hospital and Vall Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Lorena Trejo
- Vall Hebron University Hospital and Vall Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | | | - Ignacio Matos
- Vall Hebron University Hospital and Vall Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Angela Lamarca
- University of Manchester and The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Toni Ibrahim
- Osteoncology and Rare Tumours Center, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
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Yap TA, Nakagawa K, Fujimoto N, Kuribayashi K, Guren TK, Calabrò L, Shapira-Frommer R, Gao B, Kao S, Matos I, Planchard D, Chatterjee A, Jin F, Norwood K, Kindler HL. Efficacy and safety of pembrolizumab in patients with advanced mesothelioma in the open-label, single-arm, phase 2 KEYNOTE-158 study. Lancet Respir Med 2021; 9:613-621. [PMID: 33836153 DOI: 10.1016/s2213-2600(20)30515-4] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 10/22/2020] [Accepted: 10/27/2020] [Indexed: 01/19/2023]
Abstract
BACKGROUND Malignant pleural mesothelioma (MPM) has few treatment options. Pembrolizumab showed preliminary clinical benefit in programmed death ligand 1 (PD-L1)-positive MPM. We evaluated the efficacy and safety of pembrolizumab monotherapy in patients with previously treated MPM irrespective of PD-L1 status in the KEYNOTE-158 study. METHODS The ongoing open-label, multicohort, single-arm, phase 2 KEYNOTE-158 study enrolled eligible adults (≥18 years) with MPM who had progression on or intolerance to standard therapy, Eastern Cooperative Oncology Group performance status 0-1, and biomarker-evaluable tumour samples. Individuals were enrolled from 35 academic facilities and community-based institutions across 14 countries in Australia, North America, Europe, and Asia. Participants received pembrolizumab 200 mg intravenously every 3 weeks for up to 35 cycles. The primary efficacy endpoint was objective response per Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1, based on radiological imaging every 9 weeks for the first year of the study and every 12 weeks thereafter and assessed by independent central review. Efficacy and safety were analysed in all patients who received at least one dose of pembrolizumab. This trial is registered with ClinicalTrials.gov, NCT02628067. FINDINGS Patients were enrolled in the MPM cohort between Feb 9, 2016, and Aug 16, 2016. As of June 27, 2019, 118 patients had been enrolled and received at least one dose of pembrolizumab. Ten (8% [95% CI 4-15]) patients had an objective response. Median duration of objective response was 14·3 months (range 4·0 to 33·9+), and 60% of objective responses were ongoing at 12 months. Objective responses were observed in six (8%) of 77 patients with PD-L1-positive MPM (median response duration 17·7 months [range 5·8 to 33·9+]) and four (13%) of 31 patients with PD-L1-negative MPM (10·2 months [4·0-16·6]). Median overall survival was 10·0 months (95% CI 7·6-13·4) and median progression-free survival was 2·1 months (2·1-3·9). Treatment-related adverse events occurred in 82 (69%) of 118 patients and serious adverse events that were considered to be treatment-related occurred in 14 (12%) of 118 patients. 19 (16%) patients had grade 3-4 treatment-related events, and most common of these were colitis (three patients), hyponatraemia (three), and pneumonitis (two). One patient died from treatment-related apnoea. By the end of the trial, 113 (96%) patients had discontinued pembrolizumab and progressive disease was the most common reason for discontinuation. INTERPRETATION Pembrolizumab showed durable antitumour activity and manageable toxicity in patients with advanced MPM, regardless of PD-L1 status. Our data support the programmed death 1 (PD-1) and PD-L1 pathway as a potential therapeutic target in some patients with previously treated mesothelioma but biomarkers that can effectively identify such patients are yet to be elucidated. FUNDING Merck Sharp & Dohme Corp, a subsidiary of Merck & Co, Inc, Kenilworth, NJ, USA.
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Affiliation(s)
- Timothy A Yap
- Drug Development Unit, Royal Marsden Hospital, London, UK.
| | - Kazuhiko Nakagawa
- Department of Medical Oncology, Kindai University Hospital, Osaka, Japan
| | - Nobukazu Fujimoto
- Department of Medical Oncology, Okayama Rosai Hospital, Okayama, Japan
| | - Kozo Kuribayashi
- Department of Respiratory Medicine and Hematology, Hyogo College of Medicine, Hyogo, Japan
| | | | - Luana Calabrò
- Medical Oncology and Immunotherapy, Center for Immuno-Oncology, University Hospital of Siena, Siena, Italy
| | | | - Bo Gao
- Blacktown Hospital, Blacktown, NSW, Australia
| | - Steven Kao
- Chris O'Brien Lifehouse, Camperdown, NSW, Australia
| | - Ignacio Matos
- Vall d'Hebron University Hospital and Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - David Planchard
- Department of Medical Oncology, Thoracic Unit, Gustave Roussy, Villejuif, France
| | | | - Fan Jin
- Merck & Co, Inc, Kenilworth, NJ, USA
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Ligero M, Garcia-Ruiz A, Viaplana C, Villacampa G, Raciti MV, Landa J, Matos I, Martin-Liberal J, Ochoa-de-Olza M, Hierro C, Mateo J, Gonzalez M, Morales-Barrera R, Suarez C, Rodon J, Elez E, Braña I, Muñoz-Couselo E, Oaknin A, Fasani R, Nuciforo P, Gil D, Rubio-Perez C, Seoane J, Felip E, Escobar M, Tabernero J, Carles J, Dienstmann R, Garralda E, Perez-Lopez R. A CT-based Radiomics Signature Is Associated with Response to Immune Checkpoint Inhibitors in Advanced Solid Tumors. Radiology 2021; 299:109-119. [PMID: 33497314 DOI: 10.1148/radiol.2021200928] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Background Reliable predictive imaging markers of response to immune checkpoint inhibitors are needed. Purpose To develop and validate a pretreatment CT-based radiomics signature to predict response to immune checkpoint inhibitors in advanced solid tumors. Materials and Methods In this retrospective study, a radiomics signature was developed in patients with advanced solid tumors (including breast, cervix, gastrointestinal) treated with anti-programmed cell death-1 or programmed cell death ligand-1 monotherapy from August 2012 to May 2018 (cohort 1). This was tested in patients with bladder and lung cancer (cohorts 2 and 3). Radiomics variables were extracted from all metastases delineated at pretreatment CT and selected by using an elastic-net model. A regression model combined radiomics and clinical variables with response as the end point. Biologic validation of the radiomics score with RNA profiling of cytotoxic cells (cohort 4) was assessed with Mann-Whitney analysis. Results The radiomics signature was developed in 85 patients (cohort 1: mean age, 58 years ± 13 [standard deviation]; 43 men) and tested on 46 patients (cohort 2: mean age, 70 years ± 12; 37 men) and 47 patients (cohort 3: mean age, 64 years ± 11; 40 men). Biologic validation was performed in a further cohort of 20 patients (cohort 4: mean age, 60 years ± 13; 14 men). The radiomics signature was associated with clinical response to immune checkpoint inhibitors (area under the curve [AUC], 0.70; 95% CI: 0.64, 0.77; P < .001). In cohorts 2 and 3, the AUC was 0.67 (95% CI: 0.58, 0.76) and 0.67 (95% CI: 0.56, 0.77; P < .001), respectively. A radiomics-clinical signature (including baseline albumin level and lymphocyte count) improved on radiomics-only performance (AUC, 0.74 [95% CI: 0.63, 0.84; P < .001]; Akaike information criterion, 107.00 and 109.90, respectively). Conclusion A pretreatment CT-based radiomics signature is associated with response to immune checkpoint inhibitors, likely reflecting the tumor immunophenotype. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Summers in this issue.
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Affiliation(s)
- Marta Ligero
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Alonso Garcia-Ruiz
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Cristina Viaplana
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Guillermo Villacampa
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Maria V Raciti
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Jaid Landa
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Ignacio Matos
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Juan Martin-Liberal
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Maria Ochoa-de-Olza
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Cinta Hierro
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Joaquin Mateo
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Macarena Gonzalez
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Rafael Morales-Barrera
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Cristina Suarez
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Jordi Rodon
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Elena Elez
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Irene Braña
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Eva Muñoz-Couselo
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Ana Oaknin
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Roberta Fasani
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Paolo Nuciforo
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Debora Gil
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Carlota Rubio-Perez
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Joan Seoane
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Enriqueta Felip
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Manuel Escobar
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Josep Tabernero
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Joan Carles
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Rodrigo Dienstmann
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Elena Garralda
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
| | - Raquel Perez-Lopez
- From the Radiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Cellex Center, Natzaret 115-117, Barcelona 08035, Spain (M.L., A.G.R., R.P.L.); Oncology Data Science (ODysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (C.V., G.V., R.D.); Institute of Radiology, Foundation IRCCS Polyclinic San Matteo, Pavia, Italy (M.V.R.); Department of Radiology, Bellvitge University Hospital, L'Hospitalet de Llobregat, Spain (J.L.); Department of Medical Oncology, Vall d'Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain (I.M., J.M.L., M.O.d.O., C.H., J.M., M.G., R.M.B., C.S., J.R., E.E., I.B., E.M.C., A.O., E.F., J.T., J.C., E.G.); Department of Molecular Oncology, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain (R.F., P.N.); Computer Vision Center, Department of Computer Science, Autonomous University of Barcelona, Cerdanyola del Vallès, Spain (D.G.); Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital (HUVH), Autonomous University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA) and CIBERONC, Barcelona, Spain (C.R.P., J.S.); Department of Radiology, Vall d'Hebron University Hospital, Barcelona, Spain (M.E., R.P.L.); and Department of Medicine, Autonomous University of Barcelona (UAB), Barcelona, Spain (J.T.)
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Yap T, Nakagawa K, Fujimoto N, Kuribayashi K, Guren T, Calabrò L, Frommer R, Gao B, Kao S, Matos I, Planchard D, Chatterjee A, Jin F, Norwood K, Kindler H. OA03.07 Pembrolizumab for Advanced Mesothelioma: Results from the Phase 2 KEYNOTE-158 Study. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2020.10.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Affiliation(s)
- Ignacio Matos
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, United Kingdom
| | - Elena Garralda
- Vall d'Hebron Institute of Oncology (VHIO), Department of Medical Oncology, Vall d'Hebron University Hospital, Barcelona, Spain
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Keam B, Hu M, Subbiah V, Wirth L, Schuler M, Mansfield A, Brose M, Curigliano G, Leboulleux S, Zhu V, Matos I, Adkins D, Baik C, Lopes G, Godbert Y, Sarker D, Zhang H, Turner C, Taylor M, Lin CC. 442P Results from the registrational phase I/II ARROW trial of pralsetinib (BLU-667) in patients (pts) with advanced RET mutation-positive medullary thyroid cancer (RET+ MTC). Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.10.434] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
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Bahleda R, Meric-Bernstam F, Goyal L, Tran B, He Y, Yamamiya I, Benhadji KA, Matos I, Arkenau HT. Phase I, first-in-human study of futibatinib, a highly selective, irreversible FGFR1-4 inhibitor in patients with advanced solid tumors. Ann Oncol 2020; 31:1405-1412. [PMID: 32622884 PMCID: PMC9743148 DOI: 10.1016/j.annonc.2020.06.018] [Citation(s) in RCA: 93] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 06/16/2020] [Accepted: 06/22/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Futibatinib is an oral, irreversible, highly selective fibroblast growth factor receptor (FGFR)1-4 inhibitor with potent preclinical activity against tumors harboring FGFR aberrations. This first-in-human, phase I dose-escalation trial (NCT02052778) evaluates the safety and pharmacokinetics/pharmacodynamics of futibatinib in advanced solid tumors. PATIENTS AND METHODS Following a standard 3+3 dose-escalation design, eligible patients with advanced solid tumors refractory to standard therapies received 8-200 mg futibatinib three times a week (t.i.w.) or 4-24 mg once daily (q.d.). RESULTS A total of 86 patients were enrolled in the nine t.i.w. (n = 42) and five q.d. cohorts (n = 44); 71 patients (83%) had tumors harboring FGF/FGFR aberrations. Three of nine patients in the 24-mg q.d. cohort experienced dose-limiting toxicities, including grade 3 increases in alanine transaminase, aspartate transaminase, and blood bilirubin (n = 1 each). The maximum tolerated dose (MTD) was determined to be 20 mg q.d.; no MTD was defined for the t.i.w. schedule. Across cohorts (n = 86), the most common treatment-emergent adverse events (TEAEs) were hyperphosphatemia (59%), diarrhea (37%), and constipation (34%); 48% experienced grade 3 TEAEs. TEAEs led to dose interruptions, dose reductions, and treatment discontinuations in 55%, 14%, and 3% of patients, respectively. Pharmacokinetics were dose proportional across all q.d. doses but not all t.i.w. doses evaluated, with saturation observed between 80 and 200 mg t.i.w. Serum phosphorus increased dose dependently with futibatinib on both schedules, but a stronger exposure-response relationship was observed with q.d. dosing, supporting 20 mg q.d. as the recommended phase II dose (RP2D). Overall, partial responses were observed in five patients [FGFR2 fusion-positive intrahepatic cholangiocarcinoma (n = 3) and FGFR1-mutant primary brain tumor (n = 2)], and stable disease in 41 (48%). CONCLUSIONS Futibatinib treatment resulted in manageable safety, pharmacodynamic activity, and preliminary responses in patients with advanced solid tumors. The results of this phase I dose-escalation trial support 20 mg q.d. futibatinib as the RP2D. CLINICAL TRIAL REGISTRATION FOENIX-101 (ClinicalTrials.gov, NCT02052778).
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Affiliation(s)
- R. Bahleda
- Early Drug Development Department (DITEP), Gustave Roussy Cancer Center, Villejuif, France,Correspondence to: Dr Rastislav Bahleda, Early Drug Development Department (DITEP), Pièce 803/+4, Gustave Roussy Cancer Campus and University Paris-Sud, 114, rue Edouard-Vaillant, 94805 Villejuif Cedex, France. Tel: +33-01-42-11-43-85; Fax: +33-01-42-11-64-44, (R. Bahleda)
| | - F. Meric-Bernstam
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - L. Goyal
- Department of Medical Oncology, Massachusetts General Hospital Cancer Center, Boston, USA
| | - B. Tran
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Y. He
- Taiho Oncology, Inc., Princeton, USA
| | | | | | - I. Matos
- Department of Medical Oncology, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - H.-T. Arkenau
- Medical Oncology, Sarah Cannon Research Institute and Cancer Institute University College London, London, UK
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Godino-Ojer M, Blazquez-García R, Matos I, Bernardo M, Fonseca I, Pérez Mayoral E. Porous carbons-derived from vegetal biomass in the synthesis of quinoxalines. Mechanistic insights. Catal Today 2020. [DOI: 10.1016/j.cattod.2019.06.043] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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Grande E, Teulé A, Alonso‐Gordoa T, Jiménez‐Fonseca P, Benavent M, Capdevila J, Custodio A, Vera R, Munarriz J, La Casta A, Díez JJ, Gajate P, Molina‐Cerrillo J, Matos I, Cristóbal EM, Ruffinelli JC, Palacios J, García‐Carbonero R. The PALBONET Trial: A Phase II Study of Palbociclib in Metastatic Grade 1 and 2 Pancreatic Neuroendocrine Tumors (GETNE-1407). Oncologist 2020; 25:745-e1265. [PMID: 32045050 PMCID: PMC7485337 DOI: 10.1634/theoncologist.2020-0033] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 01/13/2020] [Indexed: 12/17/2022] Open
Abstract
LESSONS LEARNED Palbociclib demonstrated no detectable activity in molecularly unselected and heavily pretreated patients with advanced grade 1/2 pancreatic neuroendocrine tumors. Predictive biomarkers that improve patient selection should be investigated in future studies of palbociclib. BACKGROUND Palbociclib, a CDK4/6 inhibitor, has shown in vitro activity in pancreatic neuroendocrine tumor (pNET) cell lines. Here we prospectively assessed the activity and safety of palbociclib in monotherapy in metastatic refractory pNETs. METHODS This was a nonrandomized, open-label, phase II study of patients with metastatic grade (G)1/2 pNETs recruited from 10 centers in Spain. Palbociclib 125 mg was orally administered once daily for 21 of 28 days until disease progression or unacceptable toxicity. RESULTS Twenty-one patients were included; 52.4% were men, and median age was 57.4 years (range, 37.4-73.4). Patients had previously received a median of three prior lines of systemic therapy (range, 1-10) for advanced disease (somatostatin analogues, 71.4%; sunitinib, 81.0%; everolimus, 47.6%; chemotherapy, 47.6%). Nineteen patients were evaluated for objective response rate (ORR), with a median follow-up of 12.4 months (range, 7.53-19.33). No objective and confirmed responses were observed (0%); 11 (57.9%) patients had stable disease, and 6 of them lasted more than 6 months; 8 (42.1%) patients had disease progression as best response. Median progression-free survival (PFS) was 2.6 months (95% confidence interval [CI], 0-14.4) and median overall survival (OS) was 18.7 months (95% CI, 7.4-29.9; Fig. 1). Most frequent toxicities of any grade were asthenia (76.2%), neutropenia (42.9%), diarrhea (33.3%), and nausea (33.3%). Five (23.8%) patients developed G3-4 neutropenia and two (9.5%) patients developed G3-4 thrombocytopenia. CONCLUSION Lack of activity was observed with palbociclib as a single agent in molecularly unselected and heavily pretreated patients with advanced G1/2 pNETs.
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Affiliation(s)
- Enrique Grande
- Department of Medical Oncology, MD Anderson Cancer Center MadridMadridSpain
| | - Alex Teulé
- Department of Medical Oncology, Catalan Institute of Oncology (Hospital Duran i Reynals), L'HospitaletBarcelonaSpain
| | - Teresa Alonso‐Gordoa
- Department of Medical Oncology, University Hospital Ramón y Cajal, IRYCIS, CIBERONCMadridSpain
| | | | - Marta Benavent
- Department of Medical Oncology, University Hospital Virgen del Rocío, Instituto de Biomedicina de Sevilla (IBIS)SevilleSpain
| | - Jaume Capdevila
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), CIBERONCBarcelonaSpain
| | - Ana Custodio
- Department of Medical Oncology, University Hospital La Paz, Centro de Investigación Biomédica en Red Cáncer CB16/12/00398MadridSpain
| | - Ruth Vera
- Department of Medical Oncology, Complejo Hospitalario de Navarra, IdisNAPamplonaSpain
| | - Javier Munarriz
- Department of Medical Oncology, University Hospital General de CastellonCastellonSpain
| | - Adelaida La Casta
- Department of Medical Oncology, University Hospital DonostiaSan SebastiánSpain
| | - Juan José Díez
- Department of Endocrinology, University Hospital Puerta de Hierro Majadahonda, Department of Medicine, Faculty of Medicine, Universidad AutónomaMadridSpain
| | - Pablo Gajate
- Department of Medical Oncology, University Hospital Ramón y Cajal, IRYCIS, CIBERONCMadridSpain
| | - Javier Molina‐Cerrillo
- Department of Medical Oncology, University Hospital Ramón y Cajal, IRYCIS, CIBERONCMadridSpain
| | - Ignacio Matos
- Department of Medical Oncology, Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), CIBERONCBarcelonaSpain
| | - Eva María Cristóbal
- Department of Pathology, University Hospital Ramón y Cajal IRYCIS, CIBERONCMadridSpain
| | - José C. Ruffinelli
- Department of Medical Oncology, Catalan Institute of Oncology (Hospital Duran i Reynals), L'HospitaletBarcelonaSpain
| | - José Palacios
- Department of Pathology, University Hospital Ramón y Cajal, Departament of Medicine and Medical Specialties, Faculty of Medicine, University of Alcalá, IRYCIS, CIBERONCMadridSpain
| | - Rocío García‐Carbonero
- Department of Medical Oncology, University Hospital 12 de Octubre, IIS imas12, UCM, CNIO, CIBERONCMadridSpain
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Santa Gadea OS, Hernando-Calvo A, Berché R, Matos I, Gardeazabal I, Pedrazzoli AA, Villar MV, Braña I, Casal GA, Galvao de Aguiar V, Pedrola A, Martinez GA, Mercadé TM, Capdevila J, Cedres S, Oaknin A, Elez E, Tabernero J, Dienstmann R, Garralda E. 572P Limited efficacy of immunotherapy combination regimens in patients with unselected “cold” tumours enrolled in early clinical trials. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Galvão V, Montañá FR, Matos I, Viaplana C, Javierre GV, Braña I, Pedrazzoli AA, Villar MV, Santa Gadea OS, Casal GA, Hernando-Calvo A, Carles J, Mercade TM, Couselo EM, Elez E, Felip E, Tabernero J, Dienstmann R, Oliveira M, Garralda E. 1068P Rescue chemotherapy (CT) after immune-oncology (IO) drugs in patients (pts) with refractory solid tumours: A propensity score (PS) matched cohort study. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.1188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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Hernando-Calvo A, Mancuso F, Braña I, Santa Gadea OS, Vieito M, Casal GA, Galvao de Aguiar V, Pedrazzoli AA, Matos I, Berché R, Worham NA, Saura C, Martinez GA, Elez E, Couselo EM, Felip E, Seoane J, Tabernero J, Vivancos A, Garralda E. 531MO VHIO immune gene-expression signature (VIGex) to enrich patient selection in immunotherapy (IT) phase I clinical trials. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Hernando-Calvo A, Valdivia A, Santa Gadea OS, Braña I, Berché R, Matos I, Vieito M, Pedrazzoli AA, Casal GA, Galvão V, Garcia MD, Verdaguer H, Velez CO, Gonzalez M, Argota IB, Callejo A, Couselo EM, Tabernero J, Dienstmann R, Garralda E. 573P Efficacy of immunotherapy (IT) after prior immune checkpoint inhibitors (ICIs) exposure. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Azaro A, Aguilar S, Ogbah Z, Saavedra O, Vieito M, Matos I, Braña I, Felip E, Carles J, Fariñas L, Elez E, Macarulla T, Saura C, Dienstmann R, Garralda E, Vivancos A. Abstract 2953: Adapting a molecular prescreening program to detect notch pathway alterations in the context of early drug development. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-2953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: Gene alterations in NOTCH signaling pathway have a prevalence ranging from <1% to 13% across tumor types. Efforts in adapting molecular prescreening programs to emerging biomarkers are critical in the context of early clinical trials. The aim of this retrospective study is to assess the prevalence of NOTCH pathway alterations and compare the results of our two institutional panels with public databases (AACR Project GENIE) in order to guide drug development efforts and basket trials.
Methods: From Jan/2017 to Dec/2018, 1,697 patients (pts) had their FFPE tumor samples (either primary or metastasis) analyzed for mutations (mut) using a custom developed Amplicon-Seq panel of 59 cancer-related genes (including NOTCH1 [hotspots 5% exon coverage] and NOTCH4 [hotspots 3% exon coverage]) that was run in Illumina MiSeq (v1). Additionally, 502 samples were analyzed for Copy Number Alterations (CNA) using a panel of 44 genes (including NOTCH1-4) using NanoString nCounter (copy number between 4-6 copies were validated by FISH). From Jun/2018 to Jun/2019 an expanded NOTCH Amplicon-Seq panel v2 (including additional exons in NOTCH1 plus NOTCH2 and NOTCH3 hotspots regions) replaced the prior v1 panel and 618 samples were sequenced.
Results: Colorectal cancer (CRC) (n= 404 [24%]; n=241 [39 %]) and breast cancer (BC) (n=283 [17%]; n= 194 [31%]) were the most frequent tumor types for v1 and v2 panel cohorts, respectively. NOTCH1-4 mut were detected in 11 cases (0.64%). The highest rate of NOTCH pathway alterations (NOTCH1-4 mut plus CN gain or loss) was detected in BC (n=14 [7.7%]) with a clear enrichment in triple negative subtype. Higher prevalence of NOTCH1-4 mut was detected using expanded v2 panel, with 17 NOTCH1-4 mut cases (2.75%). Head & neck (H&N) (n=3 [5%]); BC (n=6 [3%]); and CRC (n=6 [2.5%]) were most common tumors. From all NOTCH1-4 gene mut detected, 8 were known actionable oncogenic driver mut and 9 were variants of unknown significance. When comparing our latest v2 results with GENIE database (mostly large NGS panels with exon capture), we found a similar prevalence in NOTCH1-4 mut in BC and CRC, but lower prevalence was seen in H&N, biliary and gastric tumors. We enrolled 4 pt in clinical trials with NOTCH inhibitors (3 NOTCH1 actionable mut pt (0.48%), 1 NOTCH3 actionable mut pt (0.16%).
Conclusion: Institutional efforts to increase coverage of NOTCH pathway genes improved the detection of actionable NOTCH1-4 mut. Differences in prevalence as compared to GENIE dataset may be attributed to the small number of samples tested with our v2 panel and larger panels covering all exons of NOTCH1-4 genes in GENIE cohort. Therefore, we keep evolving our NOTCH prescreening program for clinical trial enrichment.
Citation Format: Analía Azaro, Susana Aguilar, Zighereda Ogbah, Omar Saavedra, María Vieito, Ignacio Matos, Irene Braña, Enriqueta Felip, Joan Carles, Lorena Fariñas, Elena Elez, Teresa Macarulla, Cristina Saura, Rodrigo Dienstmann, Elena Garralda, Ana Vivancos. Adapting a molecular prescreening program to detect notch pathway alterations in the context of early drug development [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 2953.
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Affiliation(s)
- Analía Azaro
- 1Molecular Therapeutics Research Unit. Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Susana Aguilar
- 2Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Zighereda Ogbah
- 3Cancer Genomics Group. Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Omar Saavedra
- 1Molecular Therapeutics Research Unit. Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - María Vieito
- 1Molecular Therapeutics Research Unit. Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Ignacio Matos
- 1Molecular Therapeutics Research Unit. Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Irene Braña
- 1Molecular Therapeutics Research Unit. Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Enriqueta Felip
- 2Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Joan Carles
- 2Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Lorena Fariñas
- 2Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Elena Elez
- 2Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | | | - Cristina Saura
- 2Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Rodrigo Dienstmann
- 4Oncology Data Science (OdysSey) Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Elena Garralda
- 1Molecular Therapeutics Research Unit. Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Ana Vivancos
- 3Cancer Genomics Group. Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
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Piha-Paul SA, Hierro C, Matos I, Boni V, Hahn N, Bitting R, Bauer T, Rahul A, Meric-Bernstam F, Gourlay S, Owens TD, Brameld K, Neale A, Schwartz R, Murray S, Ucpinar S, Foote P, Venetsanakos E, Tabernero J. Abstract A19: A phase 1, multicenter, dose-escalation study of PRN1371, an irreversible covalent FGFR1-4 kinase inhibitor, in patients with advanced solid tumors including metastatic urothelial carcinoma (mUC). Clin Cancer Res 2020. [DOI: 10.1158/1557-3265.bladder19-a19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: FGFR inhibition is a promising and clinically proven therapeutic approach in a number of solid tumors where genetic alterations of FGFR drive oncogenesis. PRN1371 is a highly selective oral, irreversible inhibitor of FGFR1-4 that exhibits high potency in cancer cell lines harboring FGFR alterations, including mutations and fusions.
Methods: Part A of this phase 1 open-label, multicenter clinical trial explored ascending doses of PRN1371 in adult patients with advanced solid tumors who had received at least one prior treatment for recurrent, metastatic, and/or locally advanced disease, and for whom no standard therapy options were anticipated to result in a durable remission. The primary objectives were to investigate the safety and tolerability and determine the maximum tolerated dose (MTD). Secondary objectives included determination of the pharmacokinetic (PK) profile. The trial employed a “3 + 3” design, where cohorts of three patients are studied at each dose level until additional patients need to be added to better assess safety. PRN1371 was dosed once or twice daily in continuous, 28-day cycles until disease progression. Elevated serum phosphorus, a known effect of systemic FGFR inhibition, was managed with oral phosphate-binding medications and a low phosphate diet, with dose interruptions and use of acetazolamide if certain thresholds were exceeded.
Results: In part A, PRN1371 was administered to 36 patients in cohorts at doses of 15mg, 20mg, 25mg, and 35mg QD as well as BID doses of 15mg and 25mg. The drug has been generally well tolerated. The most common side effect observed was hyperphosphatemia, which was generally managed by administration of phosphate binders, and there were no treatment-related adverse events leading to study drug discontinuation. Five of 36 patients reported treatment-related serious adverse events (SAEs). PRN1371 was well absorbed, exhibited moderate PK variability with minimal accumulation, and was approximately dose proportional between 15 and 35mg doses. Exposure of parent drug in urine exceeded the cellular IC90 at all dose levels, which may be particularly relevant for localized bladder cancer. Part B of the study has been initiated, which will enroll patients with metastatic urothelial cell carcinoma (mUC) with FGFR1, 2, 3, or 4 genetic alterations.
Citation Format: Sarina A. Piha-Paul, Cinta Hierro, Ignacio Matos, Valentina Boni, Noah Hahn, Rhonda Bitting, Todd Bauer, Aggarwal Rahul, Funda Meric-Bernstam, Steven Gourlay, Timothy D. Owens, Ken Brameld, Ann Neale, Richard Schwartz, Steve Murray, Sibel Ucpinar, Peter Foote, Eleni Venetsanakos, Josep Tabernero. A phase 1, multicenter, dose-escalation study of PRN1371, an irreversible covalent FGFR1-4 kinase inhibitor, in patients with advanced solid tumors including metastatic urothelial carcinoma (mUC) [abstract]. In: Proceedings of the AACR Special Conference on Bladder Cancer: Transforming the Field; 2019 May 18-21; Denver, CO. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(15_Suppl):Abstract nr A19.
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Affiliation(s)
- Sarina A. Piha-Paul
- 1Department of Investigational Cancer Therapeutics (Phase 1 Program), The University of Texas MD Anderson Cancer Center, Houston, TX,
| | - Cinta Hierro
- 2Medical Oncology Department, Early Clinical Drug Development Group. Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain,
| | - Ignacio Matos
- 2Medical Oncology Department, Early Clinical Drug Development Group. Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain,
| | - Valentina Boni
- 3START Madrid, Hospital Universitario Medical Oncology Division, Madrid, Spain,
| | - Noah Hahn
- 4Johns Hopkins School of Medicine, Baltimore, MD,
| | - Rhonda Bitting
- 5Wake Forest University Health Sciences Medical Center, Winston-Salem, NC,
| | | | - Aggarwal Rahul
- 7UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA,
| | - Funda Meric-Bernstam
- 1Department of Investigational Cancer Therapeutics (Phase 1 Program), The University of Texas MD Anderson Cancer Center, Houston, TX,
| | | | | | - Ken Brameld
- 8Principia Biopharma, South San Francisco, CA
| | - Ann Neale
- 8Principia Biopharma, South San Francisco, CA
| | | | | | | | - Peter Foote
- 8Principia Biopharma, South San Francisco, CA
| | | | - Josep Tabernero
- 2Medical Oncology Department, Early Clinical Drug Development Group. Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain,
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Abstract
In the immunoncology era, an acceleration of tumor growth upon immune checkpoint inhibitors (ICI), defined as hyperprogressive disease (HPD) has been observed across different cancers. Although in non-small-cell lung cancer, most of the available evidence regarding HPD has been reported for patients treated with single agent PD-1 and PD-L1 inhibitors, in retrospective series a variable proportion of patients receiving ICI combinations also experienced HPD. Similarly, the shape of survival curves and the progression rates in clinical trials testing combinations of PD-1/PD-L1 inhibitors and anti-CTLA-4 agents suggest the occurrence of HPD. Few data are available regarding pseudoprogression upon ICI combinations. However, considering that pseudoprogression has been reported for anti-PD-1/PD-L1 agents and for CTLA-4 inhibitors separately, it is likely that it may occur also upon combinations of these two classes of drugs.
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Affiliation(s)
- Roberto Ferrara
- Department of Research, Molecular Immunology Unit Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.,Department of Medical Oncology, Thoracic Oncology Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Ignacio Matos
- Research Department of Haematology, Cancer Immunology Unit, University College London Cancer Institute, London, UK.,Vall d´Hebron Institute of Oncology, Barcelona, Spain
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Cleary JM, Iyer G, Oh DY, Mellinghoff IK, Goyal L, Ng MC, Meric-Bernstam F, Matos I, Chao TY, Ait Sarkouh R, Cretegny K, Nicolas-Metral V, Pokorska-Bocci A, Vaslin A, Zanna C, Zubel A, Tabernero J, Flaherty K, Hyman DM. Final results from the phase I study expansion cohort of the selective FGFR inhibitor Debio 1,347 in patients with solid tumors harboring an FGFR gene fusion. J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.15_suppl.3603] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
3603 Background: Debio 1347 is a selective oral inhibitor of FGFR 1-3 tyrosine kinases. It exhibited high antitumor activity in in vitro and in vivo tumor models with FGFR1-3 gene fusions. Here we report the results of the expansion portion of a Phase 1 study of advanced solid tumors patients (pts) harboring an FGFR1-3 gene fusion. Methods: Pts with advanced refractory solid tumors harboring an FGFR1-3 gene fusion were enrolled. Based on results from the dose escalation portion, pts received Debio1347 80 mg once daily (qd) in 28-day cycles. Pharmacokinetics (PK) and pharmacodynamics were evaluated. The data cut-off was October 8, 2019. Results: Among 18 pts enrolled, 5 had primary brain tumors (PBT), 5 had cholangiocarcinoma, 2 had urothelial cancer, 2 had colon cancer, 1 patient each lung neoplasm, gastric cancer, endometrial cancer and squamous cell carcinoma of the chest wall. Tumors harbored fusions with FGFR1 (n = 1), FGFR2 (n = 8), and FGFR3 (n = 9). All had prior systemic therapy (median 3 lines; range 1-4). The most common treatment emergent adverse events were fatigue (50%), hyperphosphatemia (44.4%), anemia (38.9%), alopecia (33.3%), nausea (33.3%), vomiting (33.3%), constipation (33.3%), and palmar-plantar erythrodysesthesia syndrome (22.2%). Blurred vision was reported in 1 pt. There were no findings on ocular exams compatible with retinal detachment. No grade 3 AE related to study drug were reported. One patient needed dose reduction due to grade 2 nails toxicity. In PK analysis, plasma steady-state was rapidly achieved and serum phosphate increase correlated with Debio 1347 plasma exposure, confirming target engagement at 80 mg qd. Median follow-up was 18 weeks. Partial responses were observed in 3 pts harboring an FGFR2 fusion: 1 out of 2 colon cancer and 2 out 5 cholangiocarcinoma. Median duration of response was 16.1 weeks (range: 8.4-22.8+). Overall disease control was observed in 11 out of 14 pts without PBT (79%). Median PFS was 18.3 weeks. No signs of activity were observed in the 5 patients with PBT, all with an FGFR3-TACC3 fusion. Conclusions: Debio 1347 at the recommended dose of 80 mg qd was generally well tolerated and showed signs of activity in solid tumors harboring an FGFR fusion. The FUZE phase 2 clinical trial of Debio 1347 is recruiting FGFR fusion-positive advanced solid tumors irrespectively of tumor histology, excluding PBT. Clinical trial information: NCT01948297 .
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Affiliation(s)
| | - Gopa Iyer
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - Do-Youn Oh
- Seoul National University Hospital, Seoul, South Korea
| | | | | | | | | | - Ignacio Matos
- Vall d'Hebron University Hospital and Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - Tsu-Yi Chao
- Taipei Medical University-Shuang Ho Hospital, Taipei, Taiwan
| | | | | | | | | | - Anne Vaslin
- Debiopharm International SA, Lausanne, Switzerland
| | | | - Angela Zubel
- Debiopharm International SA, Lausanne, Switzerland
| | - Josep Tabernero
- Vall d'Hebron University Hospital, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Keith Flaherty
- Dana-Farber Cancer Institute/Harvard Medical School/Massachusetts General Hospital, Boston, MA
| | - David Michael Hyman
- Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College, New York, NY
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Adashek JJ, Subbiah IM, Matos I, Garralda E, Menta AK, Ganeshan DM, Subbiah V. Hyperprogression and Immunotherapy: Fact, Fiction, or Alternative Fact? Trends Cancer 2020; 6:181-191. [PMID: 32101722 PMCID: PMC9726601 DOI: 10.1016/j.trecan.2020.01.005] [Citation(s) in RCA: 73] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 01/02/2020] [Accepted: 01/06/2020] [Indexed: 02/04/2023]
Abstract
Immunotherapy (IO) has altered the therapeutic landscape for multiple cancers. There are emerging data from retrospective studies on a subset of patients who do not benefit from IO, instead experiencing rapid progression with dramatic acceleration of disease trajectory, termed 'hyperprogressive disease' (HPD). The incidence of HPD ranges from 4% to 29% from the studies reported. Biological basis and mechanisms of HPD are currently being elucidated, with one theory involving the Fc region of antibodies. Another group has shown EGFR and MDM2/MDM4 amplifications in patients with HPD. This phenomenon has polarized oncologists who debate that this could still reflect the natural history of the disease. Thus, prospective studies are urgently needed to confirm the underlying biology, predict patients who are susceptible to HPD, and determine the modality of therapy post progression.
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Affiliation(s)
- Jacob J Adashek
- University of South Florida, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA
| | | | | | | | | | | | - Vivek Subbiah
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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Chung HC, Piha-Paul SA, Lopez-Martin J, Schellens JHM, Kao S, Miller WH, Delord JP, Gao B, Planchard D, Gottfried M, Zer A, Jalal SI, Penel N, Mehnert JM, Matos I, Bennouna J, Kim DW, Xu L, Krishnan S, Norwood K, Ott PA. Pembrolizumab After Two or More Lines of Previous Therapy in Patients With Recurrent or Metastatic SCLC: Results From the KEYNOTE-028 and KEYNOTE-158 Studies. J Thorac Oncol 2019; 15:618-627. [PMID: 31870883 DOI: 10.1016/j.jtho.2019.12.109] [Citation(s) in RCA: 211] [Impact Index Per Article: 42.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 12/03/2019] [Accepted: 12/06/2019] [Indexed: 12/11/2022]
Abstract
INTRODUCTION Pembrolizumab has shown clinical benefit in patients with previously treated recurrent or metastatic SCLC in the phase 1b multicohort study KEYNOTE-028 (NCT02054806) and the phase 2 multicohort study KEYNOTE-158 (NCT02628067). We present a pooled analysis of patients from KEYNOTE-028 and KEYNOTE-158 who had received two or more lines of previous therapy for SCLC. METHODS Eligible patients were aged 18 years and above, had histologically or cytologically confirmed incurable recurrent or metastatic SCLC, had an Eastern Cooperative Oncology Group performance status of 1 and below, and had received two or more lines of previous therapy. Patients in KEYNOTE-028 were required to have a programmed death ligand 1 (PD-L1)-positive tumor. Patients received pembrolizumab (10 mg/kg every 2 weeks in KEYNOTE-028 or 200 mg every 3 weeks in KEYNOTE-158) for up to 2 years. The primary end point was objective response rate per Response Evaluation Criteria in Solid Tumors version 1.1, which is presented here per independent review. RESULTS Eighty-three patients who had received two or more lines of previous therapy (KEYNOTE-028, n = 19; KEYNOTE-158, n = 64) were included. Median follow-up duration was 7.7 (range, 0.5-48.7) months. Objective response rate was 19.3% (95% confidence interval: 11.4-29.4); two patients had complete response (one with a PD-L1-positive tumor), and 14 patients had partial response (13 with PD-L1-positive tumors). The median duration of response was not reached (range, 4.1‒35.8+ mo; plus sign indicates ongoing response); 61% of responders had responses lasting 18 months or longer. Fifty-one patients (61.4%) experienced any-grade treatment-related adverse events; eight patients (9.6%) had grade 3 or higher events. CONCLUSIONS Pembrolizumab exhibited durable antitumor activity in a subset of patients with recurrent or metastatic SCLC who had undergone two or more previous lines of therapy, regardless of PD-L1 expression. Pembrolizumab was well tolerated.
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Affiliation(s)
- Hyun Cheol Chung
- Department of Medical Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea.
| | - Sarina A Piha-Paul
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jose Lopez-Martin
- Department of Medical Oncology, 12 de Octubre University Hospital and Research Institute (i+12), Madrid, Spain
| | - Jan H M Schellens
- Division of Pharmacology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Steven Kao
- Medical Oncology, Chris O'Brien Lifehouse, Camperdown, New South Wales, Australia
| | - Wilson H Miller
- Segal Cancer Centre, Jewish General Hospital, Montreal, Quebec, Canada; Rossy Cancer Network, Montreal, Quebec, Canada; Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Jean-Pierre Delord
- Department of Oncology, Institut Claudius Regaud Institut Universitaire du Cancer-Oncopole, Toulouse, France
| | - Bo Gao
- Blacktown Hospital, Western Sydney Local Health District, Blacktown, New South Wales, Australia
| | - David Planchard
- Department of Medical Oncology, Thoracic Group, Gustave Roussy, Villejuif, France
| | | | - Alona Zer
- Davidoff Cancer Center, Rabin Medical Center, Petah Tikva, Israel
| | - Shadia I Jalal
- Indiana University, Simon Cancer Center, Indianapolis, Indiana
| | - Nicolas Penel
- Department of Medical Oncology, Centre Oscar Lambret, Lille, France
| | - Janice M Mehnert
- Developmental Therapeutics, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey
| | - Ignacio Matos
- Department of Medical Oncology, Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | | | - Dong-Wan Kim
- Seoul National University Hospital College of Medicine, Seoul, South Korea
| | - Lei Xu
- Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, New Jersey
| | - Suba Krishnan
- Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, New Jersey
| | - Kevin Norwood
- Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, New Jersey
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Azaro A, Ivars A, Matos I, Saavedra O, Gardeazabal I, Martin-Liberal J, Hierro C, Vieito M, Braña I, Viaplana C, Villacampa G, Sala G, Alsina M, Callejo A, Verdaguer H, Aegiles G, Oaknin A, Muñoz E, Dienstmann R, Garralda E. Abstract B050: Validation of body mass index (BMI) as a prognostic factor in patients (pts) treated with immune checkpoint inhibitors (ICI) across multiple cancer types (CT) and the impact of confounding factors (CF). Mol Cancer Ther 2019. [DOI: 10.1158/1535-7163.targ-19-b050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: Obesity results in PD1-mediated T-cell dysfunction in preclinical models and improved outcomes from ICI. We wanted to validate this clinical association in a prospective cohort of pts receiving PD1/L1 inhibitors across multiple CT and investigate the potential impact of CF, such as age and concomitant medications (CM) that may interact with obesity. Methods: Clinicopathological data from 310 pts treated with ICI at VHIO phase 1 Unit from Aug'12 to Jul'18 were investigated. Frequent CM included metformin (M), statins (S) and others. Associations between different variables and progression-free survival (PFS) were assessed with univariable and multivariate Cox regression models and survival data were calculated by the Kaplan-Meier method. Tumor types were stratified by proven PD1/L1 inhibitor efficacy versus unknown PD1/L1 sensitivity. Results: Out of 310 pts, median age was 59.8 years (y), 54.2% were male and most frequent tumor type was melanoma (19.4%) and lung (13.2%). In univariate models, pts with BMI>25 kg/m2 (n=147, 47%) had increased PFS (3.5 months [m], CI95% 2.8-5.5) as compared to those with BMI<25 kg/m2 (2.3m, CI95% 1.9-3.7, HR=0.73, p=0.02). Overweight and obese pts were older and more often received S and M than those with normal BMI or underweight. Pts exposed to S (n=50, 16%) had increased PFS (6.3 m, CI95% 3.7-9.5) as compared to those without S use (2.7m, CI95% 2.1-3.5, HR=0.63, p=0.03). Other CM had no impact on pts outcomes. In a multivariable model adjusting for age, tumor type, S and M use, increased BMI had no longer a significant impact on PFS (HR=0.83 [CI95% 0.63-1.11], p=0.21), and only age remained a signficant prognostic fator (10-y increase in age, HR=0.86 [CI95% 0.77-0.95], p=0.005). Conclusion: In univariate models, increased BMI is associated with prolonged PFS in pts receiving ICI. However, after adjustment for CF such as age and CM, the association loses statistical significance. Larger randomized cohorts need to be investigated before conclusive statements on obesity as a determinant of benefit with ICI.
Citation Format: Analía Azaro, Alejandra Ivars, Ignacio Matos, Omar Saavedra, Itziar Gardeazabal, Juan Martin-Liberal, Cinta Hierro, María Vieito, Irene Braña, Cristina Viaplana, Guillermo Villacampa, Gemma Sala, María Alsina, Ana Callejo, Helena Verdaguer, Guillem Aegiles, Ana Oaknin, Eva Muñoz, Rodrigo Dienstmann, Elena Garralda. Validation of body mass index (BMI) as a prognostic factor in patients (pts) treated with immune checkpoint inhibitors (ICI) across multiple cancer types (CT) and the impact of confounding factors (CF) [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference on Molecular Targets and Cancer Therapeutics; 2019 Oct 26-30; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2019;18(12 Suppl):Abstract nr B050. doi:10.1158/1535-7163.TARG-19-B050
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Affiliation(s)
| | - Alejandra Ivars
- 2Hospital General Universitario José Mª Morales Meseguer, Murcia
| | | | | | | | | | - Cinta Hierro
- 3Vall d´Hebron Institute of Oncology (VHIO), Barcelona
| | | | - Irene Braña
- 1Vall d´Hebron University Hospital, Barcelona
| | | | | | - Gemma Sala
- 3Vall d´Hebron Institute of Oncology (VHIO), Barcelona
| | | | - Ana Callejo
- 1Vall d´Hebron University Hospital, Barcelona
| | | | | | - Ana Oaknin
- 1Vall d´Hebron University Hospital, Barcelona
| | - Eva Muñoz
- 1Vall d´Hebron University Hospital, Barcelona
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Matos I, Martin-Liberal J, García-Ruiz A, Hierro C, Ochoa de Olza M, Viaplana C, Azaro A, Vieito M, Braña I, Mur G, Ros J, Mateos J, Villacampa G, Berché R, Oliveira M, Alsina M, Elez E, Oaknin A, Muñoz-Couselo E, Carles J, Felip E, Rodón J, Tabernero J, Dienstmann R, Perez-Lopez R, Garralda E. Capturing Hyperprogressive Disease with Immune-Checkpoint Inhibitors Using RECIST 1.1 Criteria. Clin Cancer Res 2019; 26:1846-1855. [DOI: 10.1158/1078-0432.ccr-19-2226] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 09/11/2019] [Accepted: 11/15/2019] [Indexed: 12/25/2022]
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Capdevila J, Mayor R, Mancuso FM, Iglesias C, Caratù G, Matos I, Zafón C, Hernando J, Petit A, Nuciforo P, Cameselle-Teijeiro JM, Álvarez C, Recio JA, Tabernero J, Matias-Guiu X, Vivancos A, Seoane J. Early evolutionary divergence between papillary and anaplastic thyroid cancers. Ann Oncol 2019; 29:1454-1460. [PMID: 29648575 DOI: 10.1093/annonc/mdy123] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Background Papillary thyroid cancer (PTC) is the most common thyroid carcinoma and exhibits an almost uniformly good prognosis, while anaplastic thyroid cancer (ATC) is less frequent and is one of the most aggressive cancers usually resistant to conventional treatment. Current hypothesis posits that ATC derives from PTC through the progressive acquisition of a discrete number of genomic alterations and implies that the mutational landscape of ATC resembles that of PTC. However, the clinical behaviour of ATC and PTC is radically different. We decided to address the disconnection between the clinical behaviour of ATC and PTC and the proposed model of the progressive development of ATC from PTC. Patients and methods We carried out exome sequencing of DNA from 14 ATC specimens including three cases of concomitant ATC and PTC as well as their corresponding normal DNA from 14 patients. The sequencing results were validated using droplet digital PCR. We carried out immunohistochemistry and immunofluorescence studies of the concomitant ATC and PTC cases. In addition, we integrated our sequencing results with the existing TCGA data. Results Most of the somatic mutations identified in the ATC component differed from the ones in PTC in the cases of concomitant ATC and PTC. The trunks of the phylogenetic trees representing the somatic mutations were short with long branches. In one case of concomitant PTC and ATC specimens, we observed an infiltration of PTC cells within the ATC component. Moreover, we integrated our results with data obtained from TCGA and observed that the most frequent mutations found in ATC presented high cancer cell fraction values and were significantly different from the PTC ones. Conclusion ATC diverge from PTC early in tumour development and both tumour types evolve independently. Our work allows the understanding of the relationship between ATC and PTC facilitating the clinical management of these malignancies.
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Affiliation(s)
- J Capdevila
- Vall d'Hebron Institute of Oncology (VHIO) Vall d'Hebron University Hospital, Barcelona
| | - R Mayor
- Vall d'Hebron Institute of Oncology (VHIO) Vall d'Hebron University Hospital, Barcelona
| | - F M Mancuso
- Vall d'Hebron Institute of Oncology (VHIO) Vall d'Hebron University Hospital, Barcelona
| | - C Iglesias
- Vall d Hebron Institute of Research (VHIR), Vall d'Hebron University Hospital, Barcelona
| | - G Caratù
- Vall d'Hebron Institute of Oncology (VHIO) Vall d'Hebron University Hospital, Barcelona
| | - I Matos
- Vall d'Hebron Institute of Oncology (VHIO) Vall d'Hebron University Hospital, Barcelona
| | - C Zafón
- Vall d'Hebron Institute of Oncology (VHIO) Vall d'Hebron University Hospital, Barcelona
| | - J Hernando
- Vall d'Hebron Institute of Oncology (VHIO) Vall d'Hebron University Hospital, Barcelona
| | - A Petit
- IDIBELL, Department of Pathology, Hospital Universitari de Bellvitge Universidad de Barcelona, Barcelona
| | - P Nuciforo
- Vall d'Hebron Institute of Oncology (VHIO) Vall d'Hebron University Hospital, Barcelona
| | - J M Cameselle-Teijeiro
- Clinical University Hospital, University of Santiago de Compostela, Santiago de Compostela
| | - C Álvarez
- Clinical University Hospital, University of Santiago de Compostela, Santiago de Compostela
| | - J A Recio
- Vall d Hebron Institute of Research (VHIR), Vall d'Hebron University Hospital, Barcelona
| | - J Tabernero
- Vall d'Hebron Institute of Oncology (VHIO) Vall d'Hebron University Hospital, Barcelona; CIBERONC, Barcelona; Universitat Autònoma de Barcelona, Cerdanyola del Vallès
| | - X Matias-Guiu
- IDIBELL, Department of Pathology, Hospital Universitari de Bellvitge Universidad de Barcelona, Barcelona; CIBERONC, Barcelona; Department of Pathology, Hospital Universitari Arnau de Vilanova de Lleida University of Lleida, IRBLleida, Lleida
| | - A Vivancos
- Vall d'Hebron Institute of Oncology (VHIO) Vall d'Hebron University Hospital, Barcelona.
| | - J Seoane
- Vall d'Hebron Institute of Oncology (VHIO) Vall d'Hebron University Hospital, Barcelona; CIBERONC, Barcelona; Universitat Autònoma de Barcelona, Cerdanyola del Vallès; Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.
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Capdevila J, Mayor R, Mancuso FM, Iglesias C, Caratú G, Matos I, Zafón C, Hernando J, Petit A, Nuciforo P, Cameselle-Teijeiro JM, Álvarez CV, Recio JA, Tabernero J, Matias-Guiu X, Vivancos A, Seoane J. Early evolutionary divergence between papillary and anaplastic thyroid cancers. Ann Oncol 2019; 30:1843. [PMID: 31406995 DOI: 10.1093/annonc/mdz216] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Capdevila J, Arqués O, Hernández Mora JR, Matito J, Caratù G, Mancuso FM, Landolfi S, Barriuso J, Jimenez-Fonseca P, Lopez Lopez C, Garcia-Carbonero R, Hernando J, Matos I, Paolo N, Hernández-Losa J, Esteller M, Martínez-Cardús A, Tabernero J, Vivancos A, Palmer HG. Epigenetic EGFR Gene Repression Confers Sensitivity to Therapeutic BRAFV600E Blockade in Colon Neuroendocrine Carcinomas. Clin Cancer Res 2019; 26:902-909. [DOI: 10.1158/1078-0432.ccr-19-1266] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 08/12/2019] [Accepted: 10/21/2019] [Indexed: 11/16/2022]
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Drilon A, Oxnard G, Wirth L, Besse B, Gautschi O, Tan S, Loong H, Bauer T, Kim Y, Horiike A, Park K, Shah M, McCoach C, Bazhenova L, Seto T, Brose M, Pennell N, Weiss J, Matos I, Peled N, Cho B, Ohe Y, Reckamp K, Boni V, Satouchi M, Falchook G, Akerley W, Daga H, Sakamoto T, Patel J, Lakhani N, Barlesi F, Burkard M, Zhu V, Moreno Garcia V, Medioni J, Matrana M, Rolfo C, Lee D, Nechushtan H, Johnson M, Velcheti V, Nishio M, Toyozawa R, Ohashi K, Song L, Han J, Spira A, De Braud F, Staal Rohrberg K, Takeuchi S, Sakakibara J, Waqar S, Kenmotsu H, Wilson F, B.Nair, Olek E, Kherani J, Ebata K, Zhu E, Nguyen M, Yang L, Huang X, Cruickshank S, Rothenberg S, Solomon B, Goto K, Subbiah V. PL02.08 Registrational Results of LIBRETTO-001: A Phase 1/2 Trial of LOXO-292 in Patients with RET Fusion-Positive Lung Cancers. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.059] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Capdevila J, Castaño J, Mancuso F, Pedraza-Arevalo S, Matos I, Palmer H, Salva F, Landolfi S, Jimenez-Fonseca P, Garcia-Carbonero R, Lopez C, Ogbah Z, Nuciforo P, Casteras A, Acosta D, Diez M, Hernando J, Luque R, Vivancos A. RNA expression profiles and splicing alterations in grade 1/2 neuroendocrine neoplasms from small intestine origin (siNENs). Final results of the GETNE-NETSEQ study. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz256.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Montana FJR, Matos I, Vilacampa G, Azaro A, Martin-Liberal J, Hierro C, Brana I, Viaplana C, Villar MV, Gardeazabal I, Saura C, Madrid LF, Mercade TM, Saavedra O, Pardo N, de Olza MO, Muñoz-Couselo E, Tabernero J, Dienstmann R, Garralda E. Immune checkpoint inhibitors (ICIs) as “chemotherapy (Ctx) sensitization” strategy in advanced solid tumours. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz253.102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Morales Barrera R, Matos I, Gonzalez M, Suárez C, Ros J, Valverde C, Fernandez C, Hierro C, Serra E, Mateo J, Gutierrez S, Martín Liberal J, Quintana A, Dienstmann R, Serrano C, Garralda E, Carles J. Validation of the VIO prognostic index in patients with metastatic urothelial carcinoma treated with immune-checkpoint inhibitors. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz249.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Ochoa de Olza MO, Oliva M, Hierro C, Matos I, Martin-Liberal J, Garralda E. Early-drug development in the era of immuno-oncology: are we ready to face the challenges? Ann Oncol 2019; 30:1670. [PMID: 31406973 DOI: 10.1093/annonc/mdz211] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Ligero M, Garcia-Ruiz A, Viaplana C, Raciti M, Matos I, Liberal JM, Hierro C, Gonzalez M, Barrera RM, Suárez C, Elez E, Brana I, Muñoz-Couselo E, Oaknin A, Felip E, Tabernero J, Carles J, Dienstmann R, Garralda E, Lopez RP. Artificial intelligence combining radiomics and clinical data for predicting response to immunotherapy. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz253.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Capdevila J, Matos I, Mancuso FM, Iglesias C, Nuciforo P, Zafon C, Palmer HG, Ogbah Z, Muiños L, Hernando J, Villacampa G, Peña CE, Tabernero J, Brose MS, Schlumberger M, Vivancos A. Identification of Expression Profiles Defining Distinct Prognostic Subsets of Radioactive-Iodine Refractory Differentiated Thyroid Cancer from the DECISION Trial. Mol Cancer Ther 2019; 19:312-317. [PMID: 31540966 DOI: 10.1158/1535-7163.mct-19-0211] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 07/17/2019] [Accepted: 09/13/2019] [Indexed: 11/16/2022]
Abstract
Several biomarkers have been suggested to have prognostic value in differentiated thyroid carcinomas (DTC) with no validation in the refractory setting, including all tumor subtypes. We aim to correlate RNA expression profiles with survival based on patients included in the DECISION trial. We obtained 247 samples from the 417 patients included in the DECISION study and performed RNAseq analysis (77 million paired-end reads for each sample on HiSeq2000). After quality control, 125 samples were included in the secondary analysis and mapped against the human reference genome (GRCh38) with STAR (v2.5.1b) using ENCODE parameter. Survival analysis was calculated using the Kaplan-Meier method and log-rank test was used for statistical comparison. In this post hoc analysis, we identified three groups of tumors based on their gene expression profile: BRAF-like, RAS-like, and non-BRAF-non-RAS-like (NoBRaL). No significant correlation with sorafenib responders was observed. However, we identified a statistically significant correlation between the RNA-expression profiles and progression-free survival. The BRAF-like profile had a significantly better outcome compared with RAS-like and NoBRaL (11.8, 6.2, and 5.5 months, respectively) [HR: 0.31, 95% confidence interval (CI), 0.17-0.60; P < 0.001 and HR: 0.36 (95% CI, 0.21-0.63); P < 0.001] and HR: 0.36 (95% CI, 0.21-0.63; P < 0.001) and maintained significance as an independent prognostic factor for overall survival in the multivariate analysis for papillary thyroid cancers. To our knowledge, this is the first comprehensive RNA-seq analysis of all histologic subtypes of DTC. The RNA expression profiles identified may suggest a new prognostic parameter to be considered before recommendation of systemic therapies or the design of stratification factors for future clinical trials.
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Affiliation(s)
- Jaume Capdevila
- Department of Medical Oncology, Vall Hebron University Hospital, Vall Hebron Institute of Oncology (VHIO), Autonomous University of Barcelona (UAB), Barcelona, Spain.
| | - Ignacio Matos
- Department of Medical Oncology, Vall Hebron University Hospital, Vall Hebron Institute of Oncology (VHIO), Autonomous University of Barcelona (UAB), Barcelona, Spain
| | - Francesco M Mancuso
- Cancer Genomic Group, Vall Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Carmela Iglesias
- Department of Pathology, Vall Hebron University Hospital, Autonomous University of Barcelona (UAB), Barcelona, Spain
| | - Paolo Nuciforo
- Molecular Oncology Group, Vall Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Carles Zafon
- Diabetes and Metabolism Research Unit (VHIR) and Department of Endocrinology, Vall Hebron University Hospital and Autonomous University of Barcelona (UAB), Barcelona, Spain
| | - Hector G Palmer
- Stem Cells and Cancer Group, Vall Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Zighereda Ogbah
- Cancer Genomic Group, Vall Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Laura Muiños
- Cancer Genomic Group, Vall Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Jorge Hernando
- Department of Medical Oncology, Vall Hebron University Hospital, Vall Hebron Institute of Oncology (VHIO), Autonomous University of Barcelona (UAB), Barcelona, Spain
| | - Guillermo Villacampa
- Oncology Data Science Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Carol E Peña
- Bayer HealthCare Pharmaceuticals Inc., Whippany, New Jersey
| | - Josep Tabernero
- Department of Medical Oncology, Vall Hebron University Hospital, Vall Hebron Institute of Oncology (VHIO), Autonomous University of Barcelona (UAB), Barcelona, Spain
| | - Marcia S Brose
- Department of Otorhinolaryngology, Head and Neck Surgery, and Abramson Cancer Center of the University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Ana Vivancos
- Cancer Genomic Group, Vall Hebron Institute of Oncology (VHIO), Barcelona, Spain
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