1
|
Luo J, Liang M, Ma T, Dong B, Jia L, Su M. Identification of angiogenesis-related subtypes and risk models for predicting the prognosis of gastric cancer patients. Comput Biol Chem 2024; 112:108174. [PMID: 39191168 DOI: 10.1016/j.compbiolchem.2024.108174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 08/02/2024] [Accepted: 08/14/2024] [Indexed: 08/29/2024]
Abstract
Gastric cancer (GC) is a leading cause of cancer-related mortality and is characterized by significant heterogeneity, highlighting the need for further studies aimed at personalized treatment strategies. Tumor angiogenesis is critical for tumor development and metastasis, yet its role in molecular subtyping and prognosis prediction remains underexplored. This study aims to identify angiogenesis-related subtypes and develop a prognostic model for GC patients. Using data from The Cancer Genome Atlas (TCGA), we performed consensus cluster analysis on differentially expressed angiogenesis-related genes (ARGs), identifying two patient subtypes with distinct survival outcomes. Differentially expressed genes between the subtypes were analyzed via Cox and LASSO regression, leading to the establishment of a subtype-based prognostic model using a machine learning algorithm. Patients were classified into high- and low-risk groups based on the risk score. Validation was performed using independent datasets (ICGC and GSE15459). We utilized a deconvolution algorithm to investigate the tumor immune microenvironment in different risk groups and conducted analyses on genetic profiling, sensitivity and combination of anti-tumor drug. Our study identified ten prognostic signature genes, enabling the calculation of a risk score to predict prognosis and overall survival. This provides critical data for stratified diagnosis and treatment upon patient admission, monitoring disease progression throughout the entire course, evaluating immunotherapy efficacy, and selecting personalized medications for GC patients.
Collapse
Affiliation(s)
- Jie Luo
- Department of Medical Affairs, Huanggang Central Hospital, Huanggang, China
| | - Mengyun Liang
- State Key Laboratory of New Targets Discovery and Drug Development for Major Diseases, Gannan Innovation and Translational Medicine Research Institute, Gannan Medical University, Ganzhou, China
| | - Tengfei Ma
- Clinical Trial Centers, Huanggang Central Hospital, Huanggang, China; Huanggang Institute of Translational Medicine, Huanggang, China
| | - Bizhen Dong
- Huanggang Institute of Translational Medicine, Huanggang, China
| | - Liping Jia
- Department of Respiratory and Critical Care Medicine, Huanggang Central Hospital, Huanggang, China.
| | - Meifang Su
- Department of Hematopathology, Huanggang Central Hospital, Huanggang, China.
| |
Collapse
|
2
|
Sharma A, Bahl A, Frazer R, Godhania E, Halfpenny N, Hartl K, Heldt D, McGrane J, Şahbaz Gülser S, Venugopal B, Ritchie A, Crichton K. Axitinib after Treatment Failure with Sunitinib or Cytokines in Advanced Renal Cell Carcinoma-Systematic Literature Review of Clinical and Real-World Evidence. Cancers (Basel) 2024; 16:2706. [PMID: 39123435 PMCID: PMC11312084 DOI: 10.3390/cancers16152706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 07/24/2024] [Accepted: 07/26/2024] [Indexed: 08/12/2024] Open
Abstract
BACKGROUND We conducted a systematic literature review (SLR) to identify clinical evidence on treatments in advanced renal cell carcinoma (aRCC) after the failure of prior therapy with cytokines, tyrosine kinase inhibitors, or immune checkpoint inhibitors. Herein, we summarise the evidence for axitinib in aRCC after the failure of prior therapy with cytokines or sunitinib. METHODS This SLR was registered with PROSPERO (CRD42023492931) and followed the 2020 PRISMA statement and the Cochrane guidelines. Comprehensive searches were conducted in MEDLINE and Embase as well as for conference proceedings. Study eligibility was defined according to population, intervention, comparator, outcome, and study design. RESULTS Of 1252 titles/abstracts screened, 266 peer-reviewed publications were reviewed, of which 182 were included. In addition, 28 conference abstracts were eligible. Data on axitinib were reported in 55 publications, of which 16 provided efficacy and/or safety outcomes on axitinib after therapy with sunitinib or cytokines. In these patients, median progression-free and overall survival ranged between 5.5 and 8.7 months and 11.0 and 69.5 months, respectively. CONCLUSIONS Axitinib is commonly used in clinical practice and has a well-characterised safety and efficacy profile in the treatment of patients with aRCC after the failure of prior therapy with sunitinib or cytokines.
Collapse
Affiliation(s)
- Anand Sharma
- Mount Vernon Cancer Centre, Northwood HA6 2RN, UK
| | - Amit Bahl
- University Hospitals Bristol & Weston NHS Trust, Bristol BS2 8ED, UK
| | | | | | | | | | | | - John McGrane
- Royal Cornwall Hospitals NHS Trust (Treliske), Truro TR1 3LJ, UK
| | | | | | | | | |
Collapse
|
3
|
Jakobsson M, Strambi A, Nilsson F, Arpegård J, Dalén J. Real-world experience of second-line axitinib in metastatic renal cell carcinoma: analysis of the Swedish population. Future Oncol 2024; 20:1385-1392. [PMID: 39057291 PMCID: PMC11376413 DOI: 10.1080/14796694.2024.2351352] [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: 07/03/2023] [Accepted: 05/01/2024] [Indexed: 07/28/2024] Open
Abstract
Aim: Assess the time-to-treatment discontinuation (TTD) and overall survival (OS) in a Swedish metastatic renal cell carcinoma (mRCC) nationwide cohort who received second-line axitinib.Methods: Retrospective analysis of 110 patients with mRCC treated with second-line axitinib in Sweden (2012-2019). Patients included in the study received axitinib after mainly first-line sunitinib or pazopanib.Results: The median (95% CI) TTD of patients who received second-line axitinib was 5.2 (3.7-6.1) months with 6 (5.5%) patients still receiving treatment at the time of analysis. Median (95% CI) OS was 12.2 (7.7-14.2) months.Conclusion: The results are consistent with previous findings in mRCC and add to the evidence demonstrating efficacy of second-line axitinib, after failure of a prior anti-angiogenic therapy in a real-world setting.Clinical Trial Registration: NCT04669366 (ClinicalTrials.gov).
Collapse
|
4
|
Cesas A, Urbonas V, Tulyte S, Janciauskiene R, Liutkauskiene S, Grabauskyte I, Gaidamavicius I. Sequential treatment of metastatic renal cell carcinoma patients after first-line vascular endothelial growth factor targeted therapy in a real-world setting: epidemiologic, noninterventional, retrospective-prospective cohort multicentre study. J Cancer Res Clin Oncol 2023; 149:6979-6988. [PMID: 36847839 PMCID: PMC10374746 DOI: 10.1007/s00432-023-04645-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Accepted: 02/08/2023] [Indexed: 03/01/2023]
Abstract
PURPOSE The purpose of our study was to determine whether data on the clinical effectiveness of second-line therapy collected in a real-world setting provide additional valuable information on the optimal sequence of metastatic renal cell carcinoma (mRCC) treatment. METHODS Patients diagnosed with mRCC who were treated with at least one dose of first-line vascular endothelial growth factor (VEGF)-targeted therapy with either sunitinib or pazopanib and with at least one dose of second-line everolimus, axitinib, nivolumab, or cabozantinib were included. The efficacy of different treatment sequences was analyzed based on the time to the second objective disease progression (PFS2) and the time to the first objective disease progression (PFS). RESULTS Data from 172 subjects were available for analysis. PFS2 was 23.29 months. The 1-year PFS2 rate was 85.3%, and the 3-year PFS2 rate was 25.9%. The 1-year overall survival rate was 97.0%, and the 3-year overall survival rate was 78.6%. Patients with a lower IMDC prognostic risk group had a significantly (p < 0.001) longer PFS2. Patients with metastases in the liver had a shorter PFS2 than patients with metastases in the other sites (p = 0.024). Patients with metastases in the lungs and lymph nodes (p = 0.045) and patients with metastases in the liver and bones (p = 0.030) had lower PFS2 rates than patients with metastases in other sites. CONCLUSIONS Patients with a better IMDC prognosis have a longer PFS2. Metastases in the liver lead to a shorter PFS2 than metastases in other sites. One metastasis site means a longer PFS2 than 3 or more metastasis sites. Nephrectomy performed in an earlier stage of disease or metastatic setting means higher PFS and higher PFS2. No PFS2 difference was found between different treatment sequences of TKI-TKI or TKI-immune therapy.
Collapse
Affiliation(s)
| | | | - Skaiste Tulyte
- Clinic of Internal Diseases, Family Medicine and Oncology, Faculty of Medicine, Institute of Clinical Medicine, Vilnius University, Vilnius, Lithuania
| | - Rasa Janciauskiene
- Clinic of Oncology and Hematology, Institute of Oncology, Lithuanian University of Health Sciences Hospital of Lithuania, Kaunas Clinics Hospital, Kaunas, Lithuania
| | - Sigita Liutkauskiene
- Hospital of Oncology, Affiliate Hospital of Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Ingrida Grabauskyte
- Department of Physics, Mathematics and Biophysics, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | | |
Collapse
|
5
|
Kang DH, Lee JY, Lee Y, Ha US. Optimal sequencing of the first- and second-line target therapies in metastatic renal cell carcinoma: based on nationally representative data analysis from the Korean National Health Insurance System. BMC Cancer 2023; 23:483. [PMID: 37254112 DOI: 10.1186/s12885-023-10991-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 05/22/2023] [Indexed: 06/01/2023] Open
Abstract
BACKGROUND The authors intend to compare the effects of each targeted therapy (TT) in the treatment of patients with metastatic renal cell carcinoma (mRCC) using big data based on the Korean National Health Insurance System (NHIS) and determine the optimal treatment sequence. METHODS Data on the medical use of patients with kidney cancer were obtained from the NHIS database from January 1, 2002, to December 31, 2020. Patient variables included age, sex, income level, place of residence, prescribing department, and duration from diagnosis to the prescription date. The primary outcome was overall survival (OS) for each drug and sequencing. We performed propensity score matching (PSM) according to age, sex, and Charlson Comorbidity Index based on the primary TTs. RESULTS After 1:1 PSM, the sunitinib (SUN) (n = 1,214) and pazopanib (PAZ) (n = 1,214) groups showed a well-matched distribution across the entire cohort. In the primary treatment group, PAZ had lower OS than SUN (HR, 1.167; p = 0.0015). In the secondary treatment group, axitinib (AXI) had more favorable OS than cabozantinib (CAB) (HR, 0.735; p = 0.0118), and everolimus had more adverse outcomes than CAB (HR, 1.544; p < 0.0001). In the first to second TT sequencing, SUN-AXI had the highest OS; however, there was no statistically significant difference when compared with PAZ-AXI, which was the second highest (HR, 0.876; p = 0.3312). The 5-year survival rate was calculated in the following order: SUN-AXI (51.44%), PAZ-AXI (47.12%), SUN-CAB (43.59%), and PAZ-CAB (34.28%). When the four sequencing methods were compared, only SUN-AXI versus PAZ-CAB (p = 0.003) and PAZ-AXI versus PAZ-CAB (p = 0.017) were statistically significant. CONCLUSIONS In a population-based RWD analysis of Korean patients with mRCC, SUN-AXI sequencing was shown to be the most effective among the first to second TT sequencing methods in treatment, with a relative survival advantage over other sequencing combinations. To further support the results of this study, risk-stratified analysis is needed.
Collapse
Affiliation(s)
- Dong Hyuk Kang
- Department of Urology, Inha University College of Medicine, Incheon, Korea
| | - Joo Yong Lee
- Department of Urology, Severance Hospital, Urological Science Institute, Yonsei University College of Medicine, Seoul, Korea
- Center of Evidence Based Medicine, Institute of Convergence Science, Yonsei University, Seoul, Korea
| | - Yunhee Lee
- Department of Urology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222, Banpo-Daero, Seocho-Gu, Seoul, 06591, Korea
| | - U-Syn Ha
- Department of Urology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222, Banpo-Daero, Seocho-Gu, Seoul, 06591, Korea.
| |
Collapse
|
6
|
Druggable Biomarkers Altered in Clear Cell Renal Cell Carcinoma: Strategy for the Development of Mechanism-Based Combination Therapy. Int J Mol Sci 2023; 24:ijms24020902. [PMID: 36674417 PMCID: PMC9864911 DOI: 10.3390/ijms24020902] [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: 10/20/2022] [Revised: 12/15/2022] [Accepted: 12/15/2022] [Indexed: 01/06/2023] Open
Abstract
Targeted therapeutics made significant advances in the treatment of patients with advanced clear cell renal cell carcinoma (ccRCC). Resistance and serious adverse events associated with standard therapy of patients with advanced ccRCC highlight the need to identify alternative 'druggable' targets to those currently under clinical development. Although the Von Hippel-Lindau (VHL) and Polybromo1 (PBRM1) tumor-suppressor genes are the two most frequently mutated genes and represent the hallmark of the ccRCC phenotype, stable expression of hypoxia-inducible factor-1α/2α (HIFs), microRNAs-210 and -155 (miRS), transforming growth factor-beta (TGF-ß), nuclear factor erythroid 2-related factor 2 (Nrf2), and thymidine phosphorylase (TP) are targets overexpressed in the majority of ccRCC tumors. Collectively, these altered biomarkers are highly interactive and are considered master regulators of processes implicated in increased tumor angiogenesis, metastasis, drug resistance, and immune evasion. In recognition of the therapeutic potential of the indicated biomarkers, considerable efforts are underway to develop therapeutically effective and selective inhibitors of individual targets. It was demonstrated that HIFS, miRS, Nrf2, and TGF-ß are targeted by a defined dose and schedule of a specific type of selenium-containing molecules, seleno-L-methionine (SLM) and methylselenocystein (MSC). Collectively, the demonstrated pleiotropic effects of selenium were associated with the normalization of tumor vasculature, and enhanced drug delivery and distribution to tumor tissue, resulting in enhanced efficacy of multiple chemotherapeutic drugs and biologically targeted molecules. Higher selenium doses than those used in clinical prevention trials inhibit multiple targets altered in ccRCC tumors, which could offer the potential for the development of a new and novel therapeutic modality for cancer patients with similar selenium target expression. Better understanding of the underlying mechanisms of selenium modulation of specific targets altered in ccRCC could potentially have a significant impact on the development of a more efficacious and selective mechanism-based combination for the treatment of patients with cancer.
Collapse
|
7
|
Kojima T, Kato R, Sazuka T, Yamamoto H, Fukuda S, Yamana K, Nakaigawa N, Sugino Y, Hamamoto S, Ito H, Murakami H, Obara W. Real-world effectiveness of nivolumab plus ipilimumab and second-line therapy in Japanese untreated patients with metastatic renal cell carcinoma: 2-year analysis from a multicenter retrospective clinical study (J-cardinal study). Jpn J Clin Oncol 2022; 52:1345-1352. [PMID: 35920793 PMCID: PMC9631464 DOI: 10.1093/jjco/hyac124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 07/14/2022] [Indexed: 11/15/2022] Open
Abstract
Background Nivolumab plus ipilimumab combination therapy is one of the standard therapies for untreated renal cell carcinoma patients with an International Metastatic Renal Cell Carcinoma Database Consortium intermediate/poor risk. We have previously reported the 1-year analysis results of the effectiveness and safety of nivolumab plus ipilimumab combination therapy in the real-world setting in Japan. Here, we report the effectiveness of nivolumab plus ipilimumab combination therapy and of second-line therapy, using 2-year analysis. Methods This retrospective observational study enrolled Japanese patients with previously untreated metastatic renal cell carcinoma who initiated nivolumab plus ipilimumab combination therapy between August 2018 and January 2019. Data were collected from patients’ medical records at baseline and at 3 months, 1 year and 2 years after the last enrollment. Results Of the 45 patients enrolled, 10 patients (22.2%) each had non-clear cell renal cell carcinoma and Eastern Cooperative Oncology Group performance status ≥2 at baseline. Median follow-up period was 24.0 months; objective response rate was 41.5%, with 6 patients achieving complete response; median progression-free survival was 17.8 months and 24-month progression-free survival and overall survival rates were 41.6 and 59.1%, respectively. Second-line therapy achieved an objective response rate of 20%; median progression-free survival was 9.8 months. Median progression-free survival 2 was 26.4 months. Conclusions The effectiveness of nivolumab plus ipilimumab combination therapy at 2-year analysis in the real-world setting in Japan was comparable to that reported in CheckMate 214. The current analysis also demonstrated the effectiveness of second-line therapy after nivolumab plus ipilimumab combination therapy.
Collapse
Affiliation(s)
- Takahiro Kojima
- Department of Urology, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan.,Department of Urology, Aichi Cancer Center Hospital, Aichi, Japan
| | - Renpei Kato
- Department of Urology, Iwate Medical University, Iwate, Japan
| | - Tomokazu Sazuka
- Department of Urology, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Hayato Yamamoto
- Department of Urology, Hirosaki University Graduate School of Medicine, Aomori, Japan
| | - Shohei Fukuda
- Department of Urology, Tokyo Medical and Dental University, Tokyo, Japan
| | - Kazutoshi Yamana
- Department of Urology, Molecular Oncology, Graduate School of Medicine and Dental Sciences, Niigata University, Niigata, Japan
| | - Noboru Nakaigawa
- Department of Urology, Yokohama City University Graduate School of Medicine, Kanagawa, Japan
| | - Yusuke Sugino
- Department of Nephro-Urologic Surgery and Andrology, Mie University Graduate School of Medicine, Mie, Japan
| | - Shuzo Hamamoto
- Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Aichi, Japan
| | - Hiroaki Ito
- Oncology Medical, Bristol-Myers Squibb K.K., Tokyo, Japan
| | - Hiroshi Murakami
- Oncology Medical Affairs, Ono Pharmaceutical Co., Ltd., Tokyo, Japan
| | - Wataru Obara
- Department of Urology, Iwate Medical University, Iwate, Japan
| |
Collapse
|
8
|
Pinto Á, Reig O, Iglesias C, Gallardo E, García-Del Muro X, Alonso T, Anguera G, Suárez C, Muñoz-Langa J, Villalobos-León L, Rodríguez-Sánchez Á, Lainez N, Martínez-Ortega E, Campayo M, Velastegui A, Rodriguez-Vida A, Villa-Guzmán JC, Méndez-Vidal MJ, Rubio G, García I, Capdevila L, Lambea J, Vázquez S, Fernández O, Hernando-Polo S, Cerezo S, Santander C, García-Marrero R, Zambrana F, González-Del Alba A, Lazaro-Quintela M, Castellano D, Chirivella I, Anido U, Viana A, García A, Sotelo M, Arévalo MG, García-Donas J, Hernández C, Bolós MV, Llinares J, Climent MA. Clinical Factors Associated With Long-Term Benefit in Patients With Metastatic Renal Cell Carcinoma Treated With Axitinib: Real-World AXILONG Study. Clin Genitourin Cancer 2021; 20:25-34. [PMID: 34789409 DOI: 10.1016/j.clgc.2021.09.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 09/14/2021] [Accepted: 09/28/2021] [Indexed: 12/29/2022]
Abstract
BACKGROUND Axitinib monotherapy obtained approval in pre-treated mRCC patients and recently in combination with pembrolizumab or avelumab in the first-line setting. However, patient profiles that may obtain increased benefit from this drug and its combinations still need to be identified. PATIENTS AND METHODS Retrospective multicentre analysis describing clinical characteristics associated with axitinib long-responder (LR) population by comparing two extreme-response sub-groups (progression-free survival [PFS] ≥9 months vs. disease progression/refractory patients [RP]). A multivariate logistic-regression model was used to analyse clinical factors. Efficacy and safety were also analysed. RESULTS In total, 157 patients who received axitinib in second or subsequent line were evaluated (91 LR and 66 RP). Older age at start of axitinib and haemoglobin levels > LLN were independent predictive factors for LR in multivariate analyses. In LR patients, median (m) PFS was 18.1 months, median overall survival was 36.0 months and objective response rate (ORR) was 45.5%. In 59 LR patients receiving axitinib in second-line, mPFS was 18.7 months, mOS was 44.8 months and ORR was 43.9%. mOS was significantly longer in second line compared to subsequent lines (44.8 vs. 26.5 months; P = .009). In LR vs. RP, mPFS with sunitinib in first-line was correlated with mPFS with axitinib in second-line (27.2 vs. 10.9 months P < .001). The safety profile was manageable and consistent with known data. CONCLUSIONS This study confirms the long-term benefits of axitinib in a selected population, helping clinicians to select the best sequential approach and patients who could obtain a greater benefit from axitinib.
Collapse
Affiliation(s)
- Álvaro Pinto
- Medical Oncology Department, Hospital Universitario La Paz, Paseo de la Castellana, 261, 28046 Madrid, Spain.
| | - Oscar Reig
- Medical Oncology Department, Hospital Clinic i Provincial, Carrer de Villarroel, 170, 08036 Barcelona, Spain
| | - Clara Iglesias
- Medical Oncology Department, Hospital Universitario Central de Asturias, Avenida Roma, s/n, 33011 Oviedo, Spain
| | - Enrique Gallardo
- Medical Oncology Department, Hospital Universitario Parc Taulí de Sabadell, Parc Taulí, 1, 08208 Sabadell, Barcelona, Spain
| | - Xavier García-Del Muro
- Medical Oncology Department, Institut Català d'Oncologia Hospitalet, IDIBELL Institute of Researh, University of Barcelona, 1, Avinguda de la Granvia de l'Hospitalet, 199-203, 08908 L'Hospitalet de Llobregat, Barcelona, Spain
| | - Teresa Alonso
- Medical Oncology Department, Hospital Universitario Ramón y Cajal, M-607, km. 9, 100, 28034 Madrid, Spain
| | - Georgia Anguera
- Medical Oncology Department, Nou Hospital De La Santa Creu i Sant Pau, Carrer de Sant Quintí, 89, 08041 Barcelona, Spain
| | - Cristina Suárez
- Medical Oncology Department, Hospital Universitario Vall de Hebrón, Passeig de la Vall d'Hebron, 119, 08035 Barcelona, Spain
| | - José Muñoz-Langa
- Medical Oncology Department, Hospital Universitario La Fe, Avinguda de Fernando Abril Martorell, 106, 46026, Valencia, Spain
| | - Laura Villalobos-León
- Medical Oncology Department, Hospital Universitario Príncipe de Asturias, Carretera de Alcalá, s/n, 28805 Meco, Madrid, Spain
| | - Ángel Rodríguez-Sánchez
- Medical Oncology Department, Hospital Universitario de León, Calle Altos de Nava, s/n, 24071 León, Spain
| | - Nuria Lainez
- Medical Oncology Department, Complejo Hospitalario de Navarra, Calle de Irunlarrea, 3, 31008 Pamplona, Spain
| | - Esther Martínez-Ortega
- Medical Oncology Department , Complejo Hospitalario de Jaén, Avenida del Ejército Español, 10, 23007 Jaén, Spain
| | - Marc Campayo
- Medical Oncology Department, Hospital Universitario MútuaTerrassa, Plaza del Doctor Robert, 5, 08221, Terrassa, Barcelona, Spain
| | - Alejandro Velastegui
- Medical Oncology Department, Hospital Universitario Rey Juan Carlos, Calle Gladiolo, s/n, 28933 Móstoles, Madrid, Spain
| | - Alejo Rodriguez-Vida
- Medical Oncology Department, Hospital del Mar, Passeig Marítim 25-29, 08001, Barcelona, Spain
| | - José C Villa-Guzmán
- Medical Oncology Department, Hospital General Universitario de Ciudad Real General, Calle Obispo Rafael Torija, s/n, 13005 Ciudad Real, Spain
| | - Maria J Méndez-Vidal
- Medical Oncology Department, Hospital Universitario Reina Sofía, Avenida Menendez Pidal, 14004, Córdoba, Spain
| | - Gustavo Rubio
- Medical Oncology Department, Hospital Universitario Fundación Jiménez Díaz, Avenida Reyes Católicos, 2, 28040, Madrid, Spain
| | - Iciar García
- Medical Oncology Department, Hospital Virgen de la Salud, Av. de Barber, 30, 45004 Toledo, Spain
| | - Laia Capdevila
- Medical Oncology Department, Hospital San Pablo y Santa Tecla, Rambla Vella, 14, 43003 Tarragona, Spain
| | - Julio Lambea
- Medical Oncology Department, Hospital Clínico Universitario Lozano Blesa, Avda, Calle de San Juan Bosco, 15, 50009 Zaragoza, Spain
| | - Sergio Vázquez
- Medical Oncology Department, Hospital Universitario Lucus Augusti, Rúa Dr. Ulises Romero, 1, 27003 Lugo, Spain
| | - Ovidio Fernández
- Medical Oncology Department, Complexo Hospitalario Universitario de Ourense, Calle Ramon Puga Noguerol, 54, 32005 Ourense, Spain
| | - Susana Hernando-Polo
- Medical Oncology Department, Hospital Universitario Fundación Alcorcón, Calle Budapest, 1, 28922, Alcorcón, Madrid, Spain
| | - Sara Cerezo
- Medical Oncology Department, Hospital General La Mancha Centro, Av. Constitución, 3, 13600 Alcázar de San Juan, Ciudad Real, Spain
| | - Carmen Santander
- Medical Oncology Department, Hospital Universitario Miguel Servet, Paseo Isabel la Católica, 1-3, 50009 Zaragoza, Spain
| | - Rosa García-Marrero
- Medical Oncology Department, Hospital Universitario de Canarias, Carretera Ofra S/N, 38320 San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain
| | - Francisco Zambrana
- Medical Oncology Department, Hospital Universitario Infanta Sofía, Paseo de Europa, 34, 28703 San Sebastián de los Reyes, Madrid, Spain
| | - Aranzazu González-Del Alba
- Medical Oncology Department, Hospital Universitari Son Espases, Carretera de Valldemossa, 79, 07120 Palma, Spain
| | - Martin Lazaro-Quintela
- Medical Oncology Department, Hospital Álvaro Cunqueiro, Estrada de Clara Campoamor, 341, 36213 Vigo, Spain
| | - Daniel Castellano
- Medical Oncology Department, Hospital Universitario 12 de Octubre, Av. de Córdoba, s/n, 28041 Madrid, Spain
| | - Isabel Chirivella
- Medical Oncology Department, Hospital Clínico Universitario de Valencia, Av. de Blasco Ibáñez, 17, 46010 Valencia, Spain
| | - Urbano Anido
- Medical Oncology Department, Hospital Clínico Universitario de Santiago de Compostela, Rúa da Choupana, s/n, 15706 Santiago de Compostela, A Coruña, Spain
| | - Antonio Viana
- Medical Oncology Department, Hospital Nuestra Señora del Prado, Carretera de Madrid Km. 114, 45600 Talavera de la Reina, Toledo, Spain
| | - Arancha García
- TFS Trial Form Support S.L., Passeig de Gràcia, 11, 08007 Barcelona, Spain
| | - Miguel Sotelo
- Medical Oncology Department, Hospital Universitario Infanta Cristina, Av. 9 de Junio, 2, 28981 Parla, Madrid, Spain
| | - María Garrido Arévalo
- Medical Oncology Department, Hospital Universitario Severo Ochoa, Av. de Orellana, s/n, 28911 Leganés, Madrid, Spain
| | - Jesús García-Donas
- Medical Oncology Department, Hospital Universitario Clara Campal, Calle de Oña, 10, 28050 Madrid, Spain
| | - Carolina Hernández
- Medical Oncology Department, Hospital Universitario Nuestra Señora de la Candelaria, Ctra. Gral. del Rosario, 145, 38010 Santa Cruz de Tenerife, Spain
| | | | - Julia Llinares
- Pfizer S.L.U. Avenida de Europa, 20, 28108, Madrid, Spain
| | - Miguel A Climent
- Medical Oncology Department, Instituto Valenciano De Oncología, Carrer del Professor Beltrán Báguena, 8, 46009 Valencia, Spain
| |
Collapse
|
9
|
The genomic architecture of metastasis in breast cancer: focus on mechanistic aspects, signalling pathways and therapeutic strategies. Med Oncol 2021; 38:95. [PMID: 34268641 DOI: 10.1007/s12032-021-01547-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Accepted: 07/03/2021] [Indexed: 12/13/2022]
Abstract
Breast cancer is a multifactorial, heterogeneous disease and the second most frequent cancer amongst women worldwide. Metastasis is one of the most leading causes of death in these patients. Early-stage or locally advanced breast cancer is limited to the breast or nearby lymph nodes. When breast cancer spreads to farther tissues/organs from its original site, it is referred to as metastatic or stage IV breast cancer. Normal breast development is regulated by specific genes and signalling pathways controlling cell proliferation, cell death, cell differentiation and cell motility. Dysregulation of genes involved in various signalling pathways not only leads to the formation of primary tumour but also to the metastasis as well. The metastatic cascade is represented by a multi-step process including invasion of the local tumour cell followed by its entry into the vasculature, exit of malignant cells from the circulation and ultimately their colonization at the distant sites. These stages are referred to as formation of primary tumour, angiogenesis, invasion, intravasation and extravasation, respectively. The major sites of metastasis of breast cancer are the lymph nodes, bone, brain and lung. Only about 28% five-year survival rate has been reported for stage IV breast cancer. Metastasis is a serious concern for breast cancer and therefore, various therapeutic strategies such as tyrosine kinase inhibitors have been developed to target specific dysregulated genes and various signalling pathways involved in different steps of metastasis. In addition, other therapies like hyperbaric oxygen therapy, RNA interference and CRISPR/Cas9 are also being explored as novel strategies to cure the stage IV/metastatic breast cancer. Therefore, the current review has been compiled with an aim to evaluate the genetic basis of stage IV breast cancer with a focus on the molecular mechanisms. In addition, the therapeutic strategies targeting these dysregulated genes involved in various signalling pathways have also been discussed. Genome editing technologies that can target specific genes in the affected areas by making knock-in and knock-out alternations and thereby bring significant treatment outcomes in breast cancer have also been summarized.
Collapse
|
10
|
Tomita Y, Kimura G, Fukasawa S, Numakura K, Sugiyama Y, Yamana K, Naito S, Kabu K, Tajima Y, Oya M. Efficacy and safety of subsequent molecular targeted therapy after immuno-checkpoint therapy, retrospective study of Japanese patients with metastatic renal cell carcinoma (AFTER I-O study). Jpn J Clin Oncol 2021; 51:966-975. [PMID: 33594427 PMCID: PMC8163064 DOI: 10.1093/jjco/hyaa266] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 12/22/2020] [Indexed: 12/20/2022] Open
Abstract
Objectives Guidelines for treatment of mRCC recommend nivolumab monotherapy (NIVO) for treated patients, and nivolumab plus ipilimumab combination therapy (NIVO+IPI) for untreated IMDC intermediate and poor-risk mRCC patients. Although molecular-targeted therapies (TTs) such as VEGFR-TKIs and mTORi are recommended as subsequent therapy after NIVO or NIVO+IPI, their efficacy and safety remain unclear. Methods Outcome of Japanese patients with mRCC who received TT after NIVO (CheckMate 025) or NIVO+IPI (CheckMate 214) were retrospectively analyzed. Primary endpoints were investigator-assessed ORR of the first TT after either NIVO or NIVO+IPI. Secondary endpoints included TFS, PFS, OS and safety of TTs. Results Twenty six patients in CheckMate 025 and 19 patients in CheckMate 214 from 20 centers in Japan were analyzed. As the first subsequent TT after NIVO or NIVO+IPI, axitinib was the most frequently treated regimen for both CheckMate 025 (54%) and CheckMate 214 (47%) patients. The ORRs of TT after NIVO and NIVO+IPI were 27 and 32% (all risks), and median PFSs were 8.9 and 16.3 months, respectively. During the treatment of first TT after either NIVO or NIVO+IPI, 98% of patients experienced treatment-related adverse events, including grade 3–4 events in 51% of patients, and no treatment-related deaths occurred. Conclusions TTs have favorable antitumor activity in patients with mRCC after ICI, possibly via changing the mechanism of action. Safety signals of TTs after ICI were similar to previous reports. These results indicate that sequential TTs after ICI may contribute for long survival benefit.
Collapse
Affiliation(s)
- Yoshihiko Tomita
- Department of Urology, Molecular Oncology, Graduate School of Medicine and Dental Sciences, Niigata, Japan
| | - Go Kimura
- Department of Urology, Nippon Medical School Hospital, Tokyo, Japan
| | | | - Kazuyuki Numakura
- Department of Urology, Akita University School of Medicine, Akita, Japan
| | - Yutaka Sugiyama
- Department of Urology, Graduate School of Medical Sciences, Kumamoto, Japan
| | - Kazutoshi Yamana
- Department of Urology, Molecular Oncology, Graduate School of Medicine and Dental Sciences, Niigata, Japan
| | - Sei Naito
- Department of Urology, Yamagata University Faculty of Medicine, Yamagata, Japan
| | - Koki Kabu
- Bristol-Myers Squibb, Shinjuku-ku, Tokyo, Japan
| | | | - Mototsugu Oya
- Department of Urology, Keio University School of Medicine, Tokyo, Japan
| |
Collapse
|
11
|
Millet-Boureima C, He S, Le TBU, Gamberi C. Modeling Neoplastic Growth in Renal Cell Carcinoma and Polycystic Kidney Disease. Int J Mol Sci 2021; 22:3918. [PMID: 33920158 PMCID: PMC8070407 DOI: 10.3390/ijms22083918] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 04/06/2021] [Accepted: 04/08/2021] [Indexed: 12/12/2022] Open
Abstract
Renal cell carcinoma (RCC) and autosomal dominant polycystic kidney disease (ADPKD) share several characteristics, including neoplastic cell growth, kidney cysts, and limited therapeutics. As well, both exhibit impaired vasculature and compensatory VEGF activation of angiogenesis. The PI3K/AKT/mTOR and Ras/Raf/ERK pathways play important roles in regulating cystic and tumor cell proliferation and growth. Both RCC and ADPKD result in hypoxia, where HIF-α signaling is activated in response to oxygen deprivation. Primary cilia and altered cell metabolism may play a role in disease progression. Non-coding RNAs may regulate RCC carcinogenesis and ADPKD through their varied effects. Drosophila exhibits remarkable conservation of the pathways involved in RCC and ADPKD. Here, we review the progress towards understanding disease mechanisms, partially overlapping cellular and molecular dysfunctions in RCC and ADPKD and reflect on the potential for the agile Drosophila genetic model to accelerate discovery science, address unresolved mechanistic aspects of these diseases, and perform rapid pharmacological screens.
Collapse
Affiliation(s)
- Cassandra Millet-Boureima
- Department of Biology, Concordia University, Montreal, QC H4B 1R6, Canada; (C.M.-B.); (S.H.); (T.B.U.L.)
| | - Stephanie He
- Department of Biology, Concordia University, Montreal, QC H4B 1R6, Canada; (C.M.-B.); (S.H.); (T.B.U.L.)
| | - Thi Bich Uyen Le
- Department of Biology, Concordia University, Montreal, QC H4B 1R6, Canada; (C.M.-B.); (S.H.); (T.B.U.L.)
- Haematology-Oncology Research Group, National University Cancer Institute, Singapore 119228, Singapore
| | - Chiara Gamberi
- Department of Biology, Coastal Carolina University, Conway, SC 29528-6054, USA
| |
Collapse
|
12
|
Osawa T, Kojima T, Hara T, Sugimoto M, Eto M, Takeuchi A, Minami K, Nakai Y, Ueda K, Ozawa M, Uemura M, Miyauchi Y, Ohba K, Suzuki T, Anai S, Shindo T, Kusakabe N, Tamura K, Komiyama M, Goto T, Yokomizo A, Kohei N, Kashiwagi A, Murakami M, Sazuka T, Yasumoto H, Iwamoto H, Mitsuzuka K, Morooka D, Shimazui T, Yamamoto Y, Ikeshiro S, Nakagomi H, Morita K, Tomida R, Mochizuki T, Inoue T, Kitamura H, Yamada S, Ito YM, Murai S, Nishiyama H, Shinohara N. Oncological outcomes of a multicenter cohort treated with axitinib for metastatic renal cell carcinoma. Cancer Sci 2020; 111:2460-2471. [PMID: 32402135 PMCID: PMC7385391 DOI: 10.1111/cas.14449] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 04/24/2020] [Accepted: 05/02/2020] [Indexed: 12/14/2022] Open
Abstract
The present study aimed to evaluate the efficacy of the real-world use of axitinib and to develop a prognostic model for stratifying patients who could derive long-term benefit from axitinib. This was a retrospective, descriptive study evaluating the efficacy of axitinib in patients with metastatic renal cell carcinoma that had been treated with 1 or 2 systemic antiangiogenic therapy regimens at 1 of 36 hospitals belonging to the Japan Urologic Oncology Group between January 2012 and February 2019. The primary outcome was overall survival (OS). Using a split-sample method, candidate variables that exhibited significant relationships with OS were chosen to create a model. The new model was validated using the rest of the cohort. In total, 485 patients were enrolled. The median OS was 34 months in the entire study population, whereas it was not reached, 27 months, and 14 months in the favorable, intermediate, and poor risk groups, respectively, according to the new risk classification model. The following 4 variables were included in the final risk model: the disease stage at diagnosis, number of metastatic sites at the start of axitinib therapy, serum albumin level, and neutrophil : lymphocyte ratio. The adjusted area under the curve values of the new model at 12, 36, and 60 months were 0.77, 0.82, and 0.82, respectively. The efficacy of axitinib in routine practice is comparable or even superior to that reported previously. The patients in the new model's favorable risk group might derive a long-term survival benefit from axitinib treatment.
Collapse
Affiliation(s)
- Takahiro Osawa
- Department of Urology, Hokkaido University Hospital, Sapporo, Japan
| | - Takahiro Kojima
- Department of Urology, University of Tsukuba Hospital, Tsukuba, Japan
| | - Tomohiko Hara
- Office of Pharmacovigilance II, Pharmaceuticals and Medical Devices Agency, Tokyo, Japan
| | - Mikio Sugimoto
- Department of Urology, Kagawa University, Takamatsu, Japan
| | - Masatoshi Eto
- Department of Urology, Kyushu University, Fukuoka, Japan
| | - Ario Takeuchi
- Department of Urology, Kyushu University, Fukuoka, Japan
| | - Keita Minami
- Department of Urology, Sapporo City General Hospital, Sapporo, Japan
| | - Yasutomo Nakai
- Department of Urology, Osaka International Cancer Institute, Osaka, Japan
| | - Kosuke Ueda
- Department of Urology, Kurume University Hospital, Kurume, Japan
| | - Michinobu Ozawa
- Department of Urology, Faculty of Medicine, Yamagata University, Yamagata, Japan
| | - Motohide Uemura
- Department of Urology, Osaka University Hospital, Suita, Japan
| | | | - Kojiro Ohba
- Department of Urology, Nagasaki University Hospital, Nagasaki, Japan
| | - Toshiro Suzuki
- Department of Urology, Shinshu University Hospital, Matsumoto, Japan
| | - Satoshi Anai
- Department of Urology, Nara Medical University, Kashihara, Japan
| | - Tetsuya Shindo
- Department of Urology, Sapporo Medical University, Sapporo, Japan
| | | | - Keita Tamura
- Department of Urology, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | | | - Takayuki Goto
- Department of Urology, Kyoto University, Kyoto, Japan
| | - Akira Yokomizo
- Department of Urology, Harasanshin Hospital, Fukuoka, Japan
| | - Naoki Kohei
- Department of Urology, Shizuoka General Hospital, Shizuoka, Japan
| | - Akira Kashiwagi
- Department of Urology, Teine Keijinkai Hospital, Sapporo, Japan
| | | | | | | | - Hideto Iwamoto
- Department of Urology, Tottori University, Yonago, Japan
| | | | - Daichi Morooka
- Department of Urology, Hakodate Goryoukaku Hospital, Hakodate, Japan
| | - Toru Shimazui
- Department of Urology, Ibaraki Prefectural Central Hospital, Ibaraki Cancer Center, Kasama, Japan
| | | | - Suguru Ikeshiro
- Department of Urology, Asahikawa Kosei Hospital, Asahikawa, Japan
| | - Hiroshi Nakagomi
- Department of Urology, University of Yamanashi Hospital, Chuo, Japan
| | - Ken Morita
- Department of Urology, Kushiro City General Hospital, Kushiro, Japan
| | - Ryotaro Tomida
- Department of Urology, National Hospital Organization Shikoku Cancer Center, Matsuyama, Japan
| | - Tango Mochizuki
- Department of Urology, Asahikawa Kosei Hospital, Asahikawa, Japan
| | | | - Hiroshi Kitamura
- Department of Urology, Toyama Univerisity Hospital, Toyama, Japan
| | - Shuhei Yamada
- Department of Urology, Otaru General Hospital, Otaru, Japan
| | - Yoichi M Ito
- Department of Statistical Data Science, The Institute of Statistical Mathematics, Tokyo, Japan
| | - Sachiyo Murai
- Department of Urology, Hokkaido University Hospital, Sapporo, Japan
| | | | - Nobuo Shinohara
- Department of Urology, Hokkaido University Hospital, Sapporo, Japan
| | | |
Collapse
|
13
|
Clinical outcomes of second-line treatment following prior targeted therapy in patients with metastatic renal cell carcinoma: a comparison of axitinib and nivolumab. Int J Clin Oncol 2020; 25:1678-1686. [PMID: 32488547 DOI: 10.1007/s10147-020-01708-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 05/10/2020] [Indexed: 01/15/2023]
Abstract
BACKGROUND Sequential treatment starting with target therapy is still the standard care for metastatic renal cell carcinoma (mRCC), even in the era of immune checkpoint inhibitors. Our objective was to compare the clinical outcomes between axitinib and nivolumab as second-line therapy following prior targeted therapy in mRCC patients. METHODS We identified 41 patients treated with axitinib and 39 patients treated with nivolumab as a second-line regimen after targeted therapy, and retrospectively compared the treatment efficacy and safety in these patients. RESULTS The clinical benefit rate of axitinib was significantly higher than that of nivolumab (82.9% versus 56.4%; p = 0.014) and patients who received axitinib tended to show longer progression-free survival (PFS) than those who received nivolumab (10.3 months versus 7.3 months; p = 0.067). There was no difference in the overall survival (OS) of the two groups (both not reached; p = 0.581). The incidence of grade ≥ 3 adverse events (AEs) was similar between the two groups, but one patient in the nivolumab group died due to an immune-related AE. In addition, a Cox proportional hazards model showed that the pre-treatment KPS, the baseline neutrophil-to-lymphocyte ratio (NLR), and an objective response in second-line therapy were significantly associated with PFS, while the pre-treatment KPS, the number of metastatic organs, and an objective response in second-line therapy significantly contributed to the predicted OS. CONCLUSIONS Although the prognosis did not differ markedly between the two groups, axitinib resulted in a better tumor response rate. Further randomized prospective studies are needed for the ideal order of this sequential treatment.
Collapse
|