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Hedayat S, Cascione L, Cunningham D, Schirripa M, Lampis A, Hahne JC, Tunariu N, Hong SP, Marchetti S, Khan K, Fontana E, Angerilli V, Delrieux M, Nava Rodrigues D, Procaccio L, Rao S, Watkins D, Starling N, Chau I, Braconi C, Fotiadis N, Begum R, Guppy N, Howell L, Valenti M, Cribbes S, Kolozsvari B, Kirkin V, Lonardi S, Ghidini M, Passalacqua R, Elghadi R, Magnani L, Pinato DJ, Di Maggio F, Ghelardi F, Sottotetti E, Vetere G, Ciracì P, Vlachogiannis G, Pietrantonio F, Cremolini C, Cortellini A, Loupakis F, Fassan M, Valeri N. Circulating microRNA Analysis in a Prospective Co-clinical Trial Identifies MIR652-3p as a Response Biomarker and Driver of Regorafenib Resistance Mechanisms in Colorectal Cancer. Clin Cancer Res 2024; 30:2140-2159. [PMID: 38376926 DOI: 10.1158/1078-0432.ccr-23-2748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 02/15/2024] [Accepted: 02/16/2024] [Indexed: 02/21/2024]
Abstract
PURPOSE The multi-kinase inhibitor (mKi) regorafenib has demonstrated efficacy in chemorefractory patients with metastatic colorectal cancer (mCRC). However, lack of predictive biomarkers and concerns over significant toxicities hamper the use of regorafenib in clinical practice. EXPERIMENTAL DESIGN Serial liquid biopsies were obtained at baseline and monthly until disease progression in chemorefractory patients with mCRC treated with regorafenib in a phase II clinical trial (PROSPECT-R n = 40; NCT03010722) and in a multicentric validation cohort (n = 241). Tissue biopsies collected at baseline, after 2 months and at progression in the PROSPECT-R trial were used to establish patient-derived organoids (PDO) and for molecular analyses. MicroRNA profiling was performed on baseline bloods using the NanoString nCounter platform and results were validated by digital-droplet PCR and/or ISH in paired liquid and tissue biopsies. PDOs co-cultures and PDO-xenotransplants were generated for functional analyses. RESULTS Large-scale microRNA expression analysis in longitudinal matched liquid and tissue biopsies from the PROSPECT-R trial identified MIR652-3p as a biomarker of clinical benefit to regorafenib. These findings were confirmed in an independent validation cohort and in a "control" group of 100 patients treated with lonsurf. Using ex vivo co-culture assays paired with single-cell RNA-sequencing of PDO established pre- and post-treatment, we modeled regorafenib response observed in vivo and in patients, and showed that MIR652-3p controls resistance to regorafenib by impairing regorafenib-induced lethal autophagy and by orchestrating the switch from neo-angiogenesis to vessel co-option. CONCLUSIONS Our results identify MIR652-3p as a potential biomarker and as a driver of cell and non-cell-autonomous mechanisms of resistance to regorafenib.
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Affiliation(s)
- Somaieh Hedayat
- Division of Molecular Pathology and Centre for Evolution and Cancer, The Institute of Cancer Research, London, United Kingdom
| | - Luciano Cascione
- Bioinformatics Core Unit, Institute of Oncology Research (IOR), Faculty of Biomedical Sciences, Università della Svizzera italiana, Bellinzona, Switzerland
- Swiss Institute of Bioinformatics, Bellinzona, Switzerland
| | - David Cunningham
- Department of Medicine, The Royal Marsden Hospital, London and Sutton, United Kingdom
| | - Marta Schirripa
- Istituto Oncologico Veneto, Istituto di Ricovero e Cura a Carattere Scientifico, Padua, Italy
| | - Andrea Lampis
- Division of Molecular Pathology and Centre for Evolution and Cancer, The Institute of Cancer Research, London, United Kingdom
| | - Jens C Hahne
- Division of Molecular Pathology and Centre for Evolution and Cancer, The Institute of Cancer Research, London, United Kingdom
| | - Nina Tunariu
- Department of Radiology, The Royal Marsden Hospital, London and Sutton, United Kingdom
| | - Sung Pil Hong
- Division of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Silvia Marchetti
- Division of Molecular Pathology and Centre for Evolution and Cancer, The Institute of Cancer Research, London, United Kingdom
| | - Khurum Khan
- Division of Molecular Pathology and Centre for Evolution and Cancer, The Institute of Cancer Research, London, United Kingdom
- Department of Medicine, The Royal Marsden Hospital, London and Sutton, United Kingdom
| | - Elisa Fontana
- Division of Molecular Pathology and Centre for Evolution and Cancer, The Institute of Cancer Research, London, United Kingdom
| | - Valentina Angerilli
- Division of Molecular Pathology and Centre for Evolution and Cancer, The Institute of Cancer Research, London, United Kingdom
- Department of Medicine, Surgical Pathology Unit, University of Padua, Padua, Italy
| | - Mia Delrieux
- Division of Molecular Pathology and Centre for Evolution and Cancer, The Institute of Cancer Research, London, United Kingdom
| | - Daniel Nava Rodrigues
- Division of Molecular Pathology and Centre for Evolution and Cancer, The Institute of Cancer Research, London, United Kingdom
| | - Letizia Procaccio
- Istituto Oncologico Veneto, Istituto di Ricovero e Cura a Carattere Scientifico, Padua, Italy
| | - Sheela Rao
- Department of Medicine, The Royal Marsden Hospital, London and Sutton, United Kingdom
| | - David Watkins
- Department of Medicine, The Royal Marsden Hospital, London and Sutton, United Kingdom
| | - Naureen Starling
- Department of Medicine, The Royal Marsden Hospital, London and Sutton, United Kingdom
| | - Ian Chau
- Department of Medicine, The Royal Marsden Hospital, London and Sutton, United Kingdom
| | - Chiara Braconi
- Department of Medicine, The Royal Marsden Hospital, London and Sutton, United Kingdom
- Division of Cancer Therapeutics, The Institute of Cancer Research, London, United Kingdom
- Institute of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Nicos Fotiadis
- Department of Interventional Radiology, The Royal Marsden Hospital, London, United Kingdom
| | - Ruwaida Begum
- Department of Medicine, The Royal Marsden Hospital, London and Sutton, United Kingdom
| | - Naomy Guppy
- Breast Cancer Now Nina Barough Pathology Core Facility, The Institute of Cancer Research, London, United Kingdom
| | - Louise Howell
- Division of Molecular Pathology and Centre for Evolution and Cancer, The Institute of Cancer Research, London, United Kingdom
| | - Melanie Valenti
- Division of Cancer Therapeutics, The Institute of Cancer Research, London, United Kingdom
| | | | | | - Vladimir Kirkin
- Division of Cancer Therapeutics, The Institute of Cancer Research, London, United Kingdom
| | - Sara Lonardi
- Istituto Oncologico Veneto, Istituto di Ricovero e Cura a Carattere Scientifico, Padua, Italy
| | - Michele Ghidini
- Oncology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | | | - Raghad Elghadi
- Division of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Luca Magnani
- Division of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - David J Pinato
- Division of Surgery and Cancer, Imperial College London, London, United Kingdom
- Division of Oncology, Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy
| | - Federica Di Maggio
- Division of Surgery and Cancer, Imperial College London, London, United Kingdom
- Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, Naples, Italy
- CEINGE-Biotecnologie Avanzate Francesco Salvatore, Via Gaetano Salvatore, Naples, Italy
| | - Filippo Ghelardi
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Elisa Sottotetti
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Guglielmo Vetere
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Paolo Ciracì
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Georgios Vlachogiannis
- Division of Molecular Pathology and Centre for Evolution and Cancer, The Institute of Cancer Research, London, United Kingdom
- Division of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Filippo Pietrantonio
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Chiara Cremolini
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Alessio Cortellini
- Division of Surgery and Cancer, Imperial College London, London, United Kingdom
- Medical Oncology, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy
| | - Fotios Loupakis
- Istituto Oncologico Veneto, Istituto di Ricovero e Cura a Carattere Scientifico, Padua, Italy
| | - Matteo Fassan
- Istituto Oncologico Veneto, Istituto di Ricovero e Cura a Carattere Scientifico, Padua, Italy
- Department of Medicine, Surgical Pathology Unit, University of Padua, Padua, Italy
| | - Nicola Valeri
- Division of Molecular Pathology and Centre for Evolution and Cancer, The Institute of Cancer Research, London, United Kingdom
- Department of Medicine, The Royal Marsden Hospital, London and Sutton, United Kingdom
- Division of Surgery and Cancer, Imperial College London, London, United Kingdom
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E Y, Sun S, Fan X, Lu C, Ji P, Huang Y, Sun J, Yang X, Yu C. Prediction of liver and lung metastases in patients with early-onset colorectal cancer by nomograms based on heterogeneous and homogenous risk factors. Cancer Med 2023; 12:20712-20726. [PMID: 37902182 PMCID: PMC10709735 DOI: 10.1002/cam4.6633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 09/26/2023] [Accepted: 10/07/2023] [Indexed: 10/31/2023] Open
Abstract
BACKGROUND Identifying the risk factors for distant metastasis in early-onset colorectal cancer (EOCRC) is crucial for elucidating its etiology and facilitating preventive treatment. This study aims to characterize the variability in EOCRC incidence and discern both heterogeneous and homogeneous risk factors associated with synchronous liver, lung, and hepato-lung metastases. METHODS This study included patients with EOCRC enrolled in the SEER database between 2010 and 2015 and divided patients into three groups by synchronous liver, lung, and hepato-lung metastases. Each group of patients with different metastasis types was randomly assigned to the development and validation cohort in a ratio of 7:3. Logistic regression was used to analyze the heterogeneous and homogenous risk factors for synchronous liver, lung, and hepato-lung metastases in the development cohort of patients. Nomograms were built to calculate the risk of metastasis, and the receiver operating characteristic (ROC) curve and calibration curve were used to quantitatively evaluate their performance. RESULTS A total of 16,336 eligible patients with EOCRC were included in this study, of which 17.90% (2924/16,336) had distant metastases. The overall incidences of synchronous liver, lung, and hepato-lung metastases were 11.90% (1921/16,146), 2.42% (390/16,126), and 1.50% (241/16,108), respectively. Positive CEA values before treatment, increased lymphatic metastases, and deeper invasion of intestinal wall were positively correlated with three distant types of metastases. On the contrary, the correlation of age, ethnicity, location of primary tumor, and histologic grade among the three types was inconsistent. The ROC curve and calibration curve proved to have fine performance in predicting distant metastases of EOCRC. CONCLUSIONS There are significant differences in the incidence of distant metastases in EOCRC, and related risk factors are heterogeneous and homogenous. Although limited risk factors were incorporated in this study, the established nomograms indicated good predictive performance.
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Affiliation(s)
- Yimin E
- Department of General SurgeryThe Second Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Sizheng Sun
- Department of General SurgeryThe Second Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Xiaoyu Fan
- Department of General SurgeryThe Second Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Chen Lu
- Department of General SurgerySir Run Run Hospital Nanjing Medical UniversityNanjingChina
| | - Pengcheng Ji
- Department of General SurgerySir Run Run Hospital Nanjing Medical UniversityNanjingChina
| | - Yicheng Huang
- Department of General SurgeryThe Second Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Jing Sun
- Department of General SurgeryThe Second Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Xiaojun Yang
- Department of General SurgeryThe Second Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Chunzhao Yu
- Department of General SurgeryThe Second Affiliated Hospital of Nanjing Medical UniversityNanjingChina
- Department of General SurgerySir Run Run Hospital Nanjing Medical UniversityNanjingChina
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He JH, Cao C, Ding Y, Yi Y, Lv YQ, Wang C, Chang Y. A nomogram model for predicting distant metastasis of newly diagnosed colorectal cancer based on clinical features. Front Oncol 2023; 13:1186298. [PMID: 37397373 PMCID: PMC10311479 DOI: 10.3389/fonc.2023.1186298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 05/18/2023] [Indexed: 07/04/2023] Open
Abstract
Objective Colorectal cancer is one of the most common primary malignancies and the third most common cause of cancer death in both men and women in the United States. Among people diagnosed with initial colorectal cancer, 22% had metastatic colorectal cancer, while the 5-year survival rate was less than 20%. The purpose of this study is to develop a nomogram for predicting distant metastasis in newly diagnosed colorectal cancer patients and to identify high-risk groups. Methods We retrospectively reviewed the data of patients who were diagnosed with colorectal cancer at Zhong nan Hospital of Wuhan University and People's Hospital of Gansu Province between January 2016 and December 2021. Risk predictors for distant metastasis from colorectal patients were determined by the univariate and multivariate logistic regression analyses. Nomograms were developed to predict the probabilities of distant metastatic sites of colorectal cancer patients and evaluated by calibration curves, receiver operating characteristic curves, and decision curve analysis (DCA). Results A total of 327 cases were included in this study: 224 colorectal cancer patients from Zhong nan Hospital of Wuhan University were incorporated into the training set, and 103 colorectal cancer patients from Gansu Provincial People's Hospital were incorporated into the testing set. By univariate logistic regression analysis, platelet (PLT) level (p = 0.009), carcinoembryonic antigen (CEA) level (p = 0.032), histological grade (p < 0.001), colorectal cancer tumor markers (p < 0.001), N stage (p < 0.001), and tumor site (p = 0.005) were associated with distant metastasis in colorectal cancer patients. Multivariate logistic regression analysis showed that N stage (p < 0.001), histological grade (p = 0.026), and colorectal cancer markers (p < 0.001) were independent predictors of distant metastasis in patients initially diagnosed with colorectal cancer. The above six risk factors were used to predict distant metastasis of newly diagnosed colorectal cancer. The C-indexes for the prediction of the nomogram were 0.902 (95% confidence interval (CI), 0.857-0.948). Conclusion The nomogram showed excellent accuracy in predicting distant metastatic sites, and clinical utility may facilitate clinical decision-making.
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Affiliation(s)
- Jiang-Hua He
- Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Cong Cao
- Department of Colorectal Surgery, Gansu Provincial People’s Hospital, Gansu, China
| | - Yang Ding
- Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yun Yi
- Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yu-Qing Lv
- Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Chun Wang
- Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Ying Chang
- Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China
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Wu Y, Fan Y, Dong D, Dong X, Hu Y, Shi Y, Jing J, Li E. Efficacy and safety of regorafenib as beyond second-line therapy in patients with metastatic colorectal cancer: an adjusted indirect meta-analysis and systematic review. Ther Adv Med Oncol 2020; 12:1758835920940932. [PMID: 32728393 PMCID: PMC7364795 DOI: 10.1177/1758835920940932] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 06/12/2020] [Indexed: 12/12/2022] Open
Abstract
Background: The evidence base for optimum third-line therapy for metastatic colorectal cancer (mCRC) is not conclusive. Recent studies have demonstrated the efficacy of regorafenib as third-line therapy in mCRC. This indirect meta-analysis compared the efficacy and safety of regorafenib with other available third-line therapies for mCRC. Methods: A literature search for randomized controlled trials (RCTs) was conducted in PubMed, Embase, and Cochrane Library for studies evaluating the efficacy and safety of fruquintinib, regorafenib, TAS-102, and nintedanib as third-line therapies in patients with mCRC. Overall survival (OS) and progression-free survival (PFS) were the primary outcomes, while objective response rate (ORR) and safety were the secondary outcomes. Hazard ratio (HR) and relative risk (RR) with their respective 95% confidence interval (CI) were used for analysis of survival, clinical response, and safety data. An adjusted indirect meta-analysis with placebo as the common comparator was performed. Results: We identified eight RCTs comparing regorafenib (two studies), fruquintinib (two studies), TAS-102 (three studies), and nintedanib (one study) against placebo. The OS with regorafenib was significantly better when compared with nintedanib (HR = 0.66; 95% CI: 0.45, 0.95, p = 0.02) but was similar to that of fruquintinib (HR = 1.01; 95% CI: 0.67, 1.52, p = 0.94) and TAS-102 (HR = 0.97; 95% CI: 0.68, 1.38, p = 0.88). The PFS and ORR for regorafenib were slightly better than those of TAS-102 (PFS: HR = 0.86, 95% CI: 0.54, 1.37, p = 0.5; ORR: RR = 1.13, 95% CI: 0.11, 11.05, p = 0.92) and nintedanib (PFS: HR = 0.68, 95% CI: 0.42, 1.10, p = 0.12; ORR: not reported) but were lower than those for fruquintinib (PFS: HR = 1.53, 95% CI: 0.93, 2.52, p = 0.08; ORR: RR = 0.68269, 95% CI: 0.045, 10.32, p = 0.79). Safety analysis showed that the RR of adverse events (AEs) was lesser in patients treated with regorafenib in comparison with that in patients treated with fruquintinib, but was similar to that in patients treated with nintedanib and TAS-102. Conclusion: Regorafenib has efficacy similar to that of TAS-102 and better safety when compared with fruquintinib. Considering the mechanism of action of regorafenib, which targets multiple factors in the angiogenic pathway, it could be an ideal option for treatment in the beyond second-line setting.
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Affiliation(s)
- Yinying Wu
- Department of Medical Oncology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Yangwei Fan
- Department of Medical Oncology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Danfeng Dong
- Department of Medical Oncology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Xuyuan Dong
- Department of Medical Oncology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Yuan Hu
- Department of Medical Oncology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Yu Shi
- Department of Medical Oncology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Jiayu Jing
- Department of Medical Oncology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Enxiao Li
- Department of Medical Oncology, Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi 710061, China
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