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Qu W, Li L, Ma J, Li Y. Screening high-risk individuals for primary gastric carcinoma: evaluating overall survival probability score in the presence and absence of lymphatic metastasis post-gastrectomy. World J Surg Oncol 2024; 22:196. [PMID: 39054533 PMCID: PMC11271195 DOI: 10.1186/s12957-024-03481-8] [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: 03/26/2024] [Accepted: 07/17/2024] [Indexed: 07/27/2024] Open
Abstract
OBJECTIVE The aim of this study was to develop and validate prognostic models for predicting overall survival in individuals with gastric carcinoma, specifically focusing on both negative and positive lymphatic metastasis. METHODS A total of 1650 patients who underwent radical gastric surgery at Shanxi Cancer Hospital between May 2002 and December 2020 were included in the analysis. Multiple Cox Proportional Hazards analysis was performed to identify key variables associated with overall survival in both negative and positive lymphatic metastasis cases. Internal validation was conducted using bootstrapping to assess the prediction accuracy of the models. Calibration curves were used to demonstrate the accuracy and consistency of the predictions. The discriminative abilities of the prognostic models were evaluated and compared with the 8th edition of AJCC-TNM staging using Harrell's Concordance index, decision curve analysis, and time-dependent receiver operating characteristic curves. RESULTS The nomogram for node-negative lymphatic metastasis included variables such as age, pT stage, and maximum tumor diameter. The C-index for this model in internal validation was 0.719, indicating better performance compared to the AJCC 8th edition TNM staging. The nomogram for node-positive lymphatic metastasis included variables such as gender, age, maximum tumor diameter, neural invasion, Lauren classification, and expression of Her-2, CK7, and CD56. The C-index for this model was 0.674, also outperforming the AJCC 8th edition TNM staging. Calibration curves, time-dependent receiver operating characteristic curves, and decision curve analysis for both nomograms demonstrated excellent prediction ability. Furthermore, significant differences in prognosis between low- and high-risk groups supported the models' strong risk stratification performance. CONCLUSION This study provides valuable risk stratification models for lymphatic metastasis in gastric carcinoma, encompassing both node-positive and negative cases. These models can help identify low-risk individuals who may not require further intervention, while high-risk individuals can benefit from targeted therapies aimed at addressing lymphatic metastasis.
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Affiliation(s)
- Wenqing Qu
- Hepatobiliary, Pancreatic and Gastrointestinal Surgery, Shanxi Hospital Affiliated to Carcinoma Hospital, Chinese Academy of Medical Sciences, Shanxi Province Carcinoma Hospital, Carcinoma Hospital Affiliated to Shanxi Medical University, Taiyuan, 030013, Shanxi, P.R. China
| | - Ling Li
- Shanxi Medical University, 030013, Taiyuan, Shanxi, P.R. China
| | - Jinfeng Ma
- Hepatobiliary, Pancreatic and Gastrointestinal Surgery, Shanxi Hospital Affiliated to Carcinoma Hospital, Chinese Academy of Medical Sciences, Shanxi Province Carcinoma Hospital, Carcinoma Hospital Affiliated to Shanxi Medical University, Taiyuan, 030013, Shanxi, P.R. China.
| | - Yifan Li
- Hepatobiliary, Pancreatic and Gastrointestinal Surgery, Shanxi Hospital Affiliated to Carcinoma Hospital, Chinese Academy of Medical Sciences, Shanxi Province Carcinoma Hospital, Carcinoma Hospital Affiliated to Shanxi Medical University, Taiyuan, 030013, Shanxi, P.R. China.
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Yang L, Zhang D, Zheng T, Liu D, Fang Y. Predicting the progression-free survival of gastrointestinal stromal tumors after imatinib therapy through multi-sequence magnetic resonance imaging. Abdom Radiol (NY) 2024; 49:801-813. [PMID: 38006414 DOI: 10.1007/s00261-023-04093-8] [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: 07/26/2023] [Revised: 10/06/2023] [Accepted: 10/09/2023] [Indexed: 11/27/2023]
Abstract
PURPOSE Identify radiomics features associated with progression-free survival (PFS) and develop a predictive model for accurate PFS prediction in liver metastatic gastrointestinal stromal tumor patients (GIST). METHODS This multi-center retrospective study involved a comprehensive review of clinical and imaging data pertaining to 211 patients with gastrointestinal stromal tumors (GIST) from Center A and B. A total of 147 patients with hepatic metastatic GIST were included, with 102 cases as the training set and 45 cases as the external validation set. Radiomics features were extracted from non-enhanced MR images, specifically T2WI, DWI, and ADC, and relevant features were selected through LASSO-Cox regression. A radiomics nomogram model was then constructed using multivariable Cox regression analysis to effectively predict PFS. The models performance were evaluated with the concordance index (C-index). RESULTS The median age of the patients was 53 years, with 82 males and 65 females. A total of 21 radiomics features were selected to generate the radiomics signature. Radiomics signature slightly outperformed the clinical model but without significant difference (P > 0.05). Integrated radiomics signature with clinical features to build a nomogram, which exhibited high predictive performance in both training (C-index 0.757, 95% CI 0.692-0.822) and validation cohorts (C-index 0.718, 95% CI 0.618-0.818). Nomogram significantly outperformed the clinical model (P = 0.002 for training cohort, P < 0.001 for validation cohort). Stable long-term predictions shown by time-dependent ROC analysis (AUC 0.765-0.919 in training, 0.766-0.893 in validation). Multivariable Cox regression confirmed radiomics signature as an independent prognostic factor for preoperative survival prediction in hepatic metastatic GIST patients (HR = 3.973). CONCLUSION Radiomics signature is valuable for predicting PFS in metastatic GIST patients. Integrating imaging features and clinical factors into a comprehensive nomogram improves accuracy and effectiveness of survival prognosis, guiding personalized treatment strategies.
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Affiliation(s)
- Linsha Yang
- Department of Medical Imaging, The First Hospital of Qinhuangdao, Qinhuangdao, People's Republic of China
| | - Duo Zhang
- Department of Medical Imaging, Baoding No. 1 Central Hospital, Baoding, People's Republic of China
| | - Tao Zheng
- Department of Medical Imaging, The First Hospital of Qinhuangdao, Qinhuangdao, People's Republic of China
| | - Defeng Liu
- Department of Medical Imaging, The First Hospital of Qinhuangdao, Qinhuangdao, People's Republic of China.
| | - Yuan Fang
- Medical Imaging Center, Chongqing Yubei District People's Hospital, Chongqing, People's Republic of China.
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Yeh CN, Huang WK, Lu CW, Chen CP, Lin SH, Pan YR, Wu CE. A Potential Association of Zinc Deficiency and Tyrosine Kinase Inhibitor-Induced Hand-Foot Skin Reaction. Biol Trace Elem Res 2023; 201:5540-5545. [PMID: 36892689 DOI: 10.1007/s12011-023-03618-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 02/28/2023] [Indexed: 03/10/2023]
Abstract
Hand-foot skin reaction (HFSR) is a common skin-related adverse event induced by multikinase inhibitors targeting both platelet-derived growth factor receptor and vascular endothelial growth factor receptor, possibly due to inadequate repair following frictional trauma. Zinc is a trace element and essential nutrient in humans that plays critical roles in the development and differentiation of skin cells. Zinc transporters (Zrt- and Irt-like proteins and Zn transporters) and metallothioneins are involved in zinc efflux, uptake, and homeostasis and have been reported to be involved in skin differentiation. The underlying mechanism of HFSR remains unclear, and the association between HFSR and zinc has not been previously studied. However, some case reports and case series provide potential evidence to suggest that zinc deficiency may be involved in HFSR development and zinc supplementation may relieve HFSR symptoms. However, no large-scale clinical studies have been conducted to examine this role. Therefore, this review summarizes the evidence supporting a possible link between HFSR development and zinc and proposes potential mechanisms underlying this association based on current evidence.
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Affiliation(s)
- Chun-Nan Yeh
- Department of General Surgery and Liver Research Center, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Wen-Kuan Huang
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Division of Hematology-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, 5 Fu-Hsing Street, Kwei-Shan, Taoyuan, 333, Taiwan
| | - Chun-Wei Lu
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Dermatology, Drug Hypersensitivity Clinical and Research Center, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Chiao-Ping Chen
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Division of Hematology-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, 5 Fu-Hsing Street, Kwei-Shan, Taoyuan, 333, Taiwan
| | - Sheng-Hsuan Lin
- Department of General Surgery and Liver Research Center, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yi-Ru Pan
- Department of General Surgery and Liver Research Center, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chiao-En Wu
- College of Medicine, Chang Gung University, Taoyuan, Taiwan.
- Division of Hematology-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, 5 Fu-Hsing Street, Kwei-Shan, Taoyuan, 333, Taiwan.
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Wu C, Hsu P, Chang JW, Chang C, Huang C, Yang C, Kuo CS, Fang Y, Wu C. Comprehensive assessment of pretreatment sarcopenia impacts on patients with EGFR-mutated NSCLC treated with afatinib. Thorac Cancer 2023; 14:2548-2557. [PMID: 37525557 PMCID: PMC10481145 DOI: 10.1111/1759-7714.15017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/13/2023] [Accepted: 06/14/2023] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND This study aimed to comprehensively evaluate the efficacy and toxicity of afatinib in patients with sarcopenia, an important prognostic factor for treatment efficacy and toxicity in patients with cancer. METHODS The clinical features of patients with advanced NSCLC treated with frontline afatinib between 2014 and 2018 at a medical center in Taiwan were retrospectively reviewed. Sarcopenia was evaluated based on the total cross-sectional area of skeletal muscles assessed by computed tomography (CT) imaging at the L3 level. Baseline characteristics, response rates, survival rates, and adverse events (AEs) were compared between sarcopenic and nonsarcopenic patients. RESULTS A total of 176 patients evaluated for sarcopenia by CT and treated with afatinib were enrolled in the current study. Sarcopenia was significantly associated with good performance status, low body mass index (BMI), low body surface area (BSA), and low total mass area (TMA). Sarcopenia did not influence the response rate (69.2% vs. 72.0%, p = 0.299), progression-free survival (median 15.9 vs. 14.9 months, p = 0.791), or overall survival (median 26.5 vs. 27.2 months, p = 0.441). However, BSA ≤ 1.7 and the 40 mg afatinib dose were associated with dose reduction. TMA was the only independent factor for afatinib discontinuation due to AEs. CONCLUSION Sarcopenia was not associated with treatment efficacy or toxicity among patients with NSCLC harboring common mutations treated with afatinib, indicating sarcopenic patients should not be excluded from afatinib treatment. Other factors, such as BSA and TMA, were associated with dose reduction and afatinib discontinuation, respectively, which may require additional evaluations in future studies.
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Affiliation(s)
- Chen‐Te Wu
- Department of Medical Imaging and InterventionChang Gung Memorial Hospital at Linkou, Chang Gung University College of MedicineTaoyuanTaiwan
| | - Ping‐Chih Hsu
- Division of Thoracic Oncology, Department of Thoracic MedicineChang Gung Memorial Hospital at Linkou, Chang Gung University College of MedicineTaoyuanTaiwan
| | - John Wen‐Cheng Chang
- Division of Hematology‐Oncology, Department of Internal MedicineChang Gung Memorial Hospital at Linkou, Chang Gung University College of MedicineTaoyuanTaiwan
| | - Ching‐Fu Chang
- Division of Hematology‐Oncology, Department of Internal MedicineChang Gung Memorial Hospital at Linkou, Chang Gung University College of MedicineTaoyuanTaiwan
| | - Chen‐Yang Huang
- Division of Hematology‐Oncology, Department of Internal MedicineChang Gung Memorial Hospital at Linkou, Chang Gung University College of MedicineTaoyuanTaiwan
| | - Cheng‐Ta Yang
- Division of Thoracic Oncology, Department of Thoracic MedicineChang Gung Memorial Hospital at Linkou, Chang Gung University College of MedicineTaoyuanTaiwan
| | - Chih‐Hsi Scott Kuo
- Division of Thoracic Oncology, Department of Thoracic MedicineChang Gung Memorial Hospital at Linkou, Chang Gung University College of MedicineTaoyuanTaiwan
| | - Yueh‐Fu Fang
- Division of Thoracic Oncology, Department of Thoracic MedicineChang Gung Memorial Hospital at Linkou, Chang Gung University College of MedicineTaoyuanTaiwan
| | - Chiao‐En Wu
- Division of Hematology‐Oncology, Department of Internal MedicineChang Gung Memorial Hospital at Linkou, Chang Gung University College of MedicineTaoyuanTaiwan
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Li Y, Bai M, Gao Y. Prognostic nomograms for gastric carcinoma after D2 + total gastrectomy to assist decision-making for postoperative treatment: based on Lasso regression. World J Surg Oncol 2023; 21:207. [PMID: 37475024 PMCID: PMC10357773 DOI: 10.1186/s12957-023-03097-4] [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: 03/24/2023] [Accepted: 06/29/2023] [Indexed: 07/22/2023] Open
Abstract
OBJECTIVE This study aimed to establish novel nomograms that could be used to predict the prognosis of gastric carcinoma patients who underwent D2 + total gastrectomy on overall survival (OS) and progression-free survival (PFS). METHODS Lasso regression was employed to construct the nomograms. The internal validation process included bootstrapping, which was used to test the accuracy of the predictions. The calibration curve was then used to demonstrate the accuracy and consistency of the predictions. In addition, the Harrell's Concordance index (C-index) and time-dependent receiver operating characteristic (t-ROC) curves were used to evaluate the discriminative abilities of the new nomograms and to compare its performance with the 8th edition of AJCC-TNM staging. Furthermore, decision curve analysis (DCA) was performed to assess the clinical application of our model. Finally, the prognostic risk stratification of gastric cancer was conducted with X-tile software, and the nomograms were converted into a risk-stratifying prognosis model. RESULTS LASSO regression analysis identified pT stage, the number of positive lymph nodes, vascular invasion, neural invasion, the maximum diameter of tumor, the Clavien-Dindo classification for complication, and Ki67 as independent risk factors for OS and pT stage, the number of positive lymph nodes, neural invasion, and the maximum diameter of tumor for PFS. The C-index of OS nomogram was 0.719 (95% CI: 0.690-0.748), which was superior to the 8th edition of AJCC-TNM staging (0.704, 95%CI: 0.623-0.783). The C-index of PFS nomogram was 0.694 (95% CI: 0.654-0.713), which was also better than that of the 8th edition of AJCC-TNM staging (0.685, 95% CI: 0.635-0.751). The calibration curves, t-ROC curves, and DCA of the two nomogram models showed that the prediction ability of the two nomogram models was outstanding. The statistical difference in the prognosis between the low- and high-risk groups further suggested that our model had an excellent risk stratification performance. CONCLUSION We reported the first risk stratification and nomogram for gastric carcinoma patients with total gastrectomy in Chinese population. Our model could potentially be used to guide treatment selections for the low- and high-risk patients to avoid delayed treatment or unnecessary overtreatment.
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Affiliation(s)
- Yifan Li
- Second Department of General Surgery, Shanxi Province Carcinoma Hospital, Shanxi Hospital Affiliated to Carcinoma Hospital, Chinese Academy of Medical Sciences, Carcinoma Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, 030013, People's Republic of China
| | - Min Bai
- Department of Hematopathology, Shanxi Province Carcinoma Hospital, Shanxi Hospital Affiliated to Carcinoma Hospital, Chinese Academy of Medical Sciences, Carcinoma Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, 030013, People's Republic of China.
| | - Yuye Gao
- Department of Gastrointestinal Surgery, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, No. 52 Fu Cheng Road, Hai Dian District, Beijing, 100142, China
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Wu H, Ding P, Wu J, Sun C, Guo H, Chen S, Lowe S, Yang P, Tian Y, Liu Y, Zhao Q. A New Online Dynamic Nomogram: Construction and Validation of a Predictive Model for Distant Metastasis Risk and Prognosis in Patients with Gastrointestinal Stromal Tumors. J Gastrointest Surg 2023; 27:1429-1444. [PMID: 37231240 DOI: 10.1007/s11605-023-05706-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 04/28/2023] [Indexed: 05/27/2023]
Abstract
BACKGROUND Gastrointestinal stromal tumor (GIST) is the most common sarcoma of the digestive tract, among which patients with distant metastases tend to have a poor prognosis. This study aimed to develop a model for predicting distant metastasis in GIST patients and to develop two models for monitoring overall survival (OS) and cancer-specific survival (CSS) in GIST patients with metastasis. This would allow us to develop an optimal, individualized treatment strategy. METHODS We reviewed demographic and clinicopathological characteristics data from 2010 to 2017 of patients diagnosed with GIST in the Surveillance, Epidemiology, and End Results (SEER) database. The data of the external validation group was reviewed from the Forth Hospital of Hebei Medical University. Univariate and multivariate logistic regression analyses were used to confirm the independent risk factors for distant metastasis in the GIST patients, and univariate and multivariate Cox regression analyses were performed to identify the independent prognostic factors for OS and CSS in the GIST patients with distant metastasis. Subsequently, three web-based novel nomograms were developed, which were evaluated by the receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). RESULTS Of the 3639 patients who met the inclusion criteria, 418 (11.4%) had distant metastases. The risk factors for distant metastasis in GIST patients included sex, primary site, grade, N stage, tumor size, and mitotic count. For OS, the independent prognosis factors for GIST patients with metastasis included age, race, marital, primary site, chemotherapy, mitotic count, and metastasis at the lung, and for CSS, age, race, marital, primary site, and metastasis at the lung were the independent prognosis factors. Three web-based nomograms were constructed based on these independent factors, respectively. The ROC curves, calibration curves, and DCA were performed in the training, testing, and validation sets which confirmed the high accuracy and strong clinical practice power for the nomograms. CONCLUSION Population-based nomograms can help clinicians predict the occurrence and prognosis of distant metastases in patients with GIST, which may be helpful for clinicians to formulate clinical management and appropriate treatment strategies.
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Affiliation(s)
- Haotian Wu
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
| | - Ping'an Ding
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
| | - Jiaxiang Wu
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
| | - Chenyu Sun
- AMITA Health Saint Joseph Hospital Chicago, 2900 N. Lake Shore Drive, Chicago, IL, 60657, USA
| | - Honghai Guo
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
| | - Shuya Chen
- Newham University Hospital, Glen Road, Plaistow, E13 8SL, London, UK
| | - Scott Lowe
- College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, Kansas City, MO, 64106, USA
| | - Peigang Yang
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
| | - Yuan Tian
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
| | - Yang Liu
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
| | - Qun Zhao
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, China.
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China.
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Neuropsychiatric Adverse Drug Reactions with Tyrosine Kinase Inhibitors in Gastrointestinal Stromal Tumors: An Analysis from the European Spontaneous Adverse Event Reporting System. Cancers (Basel) 2023; 15:cancers15061851. [PMID: 36980737 PMCID: PMC10046586 DOI: 10.3390/cancers15061851] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 03/15/2023] [Accepted: 03/18/2023] [Indexed: 03/22/2023] Open
Abstract
Tyrosine kinase inhibitors (TKIs) are widely used in gastrointestinal stromal tumors (GISTs). The aim of this study is to evaluate the reporting frequency of neuropsychiatric adverse drug reactions (ADRs) for TKIs through the analysis of European individual case safety reports (ICSRs). All ICSRs collected in EudraVigilance up to 31 December 2021 with one TKI having GISTs as an indication (imatinib (IM), sunitinib (SU), avapritinib (AVA), regorafenib (REG), and ripretinib (RIP)) were included. A disproportionality analysis was performed to assess the frequency of reporting for each TKI compared to all other TKIs. The number of analyzed ICSRs was 8512, of which 57.9% were related to IM. Neuropsychiatric ADRs were reported at least once in 1511 ICSRs (17.8%). A higher reporting probability of neuropsychiatric ADRs was shown for AVA. Most neuropsychiatric ADRs were known, except for a higher frequency of lumbar spinal cord and nerve root disorders (reporting odds ratio, ROR 4.46; confidence interval, CI 95% 1.58–12.54), olfactory nerve disorders (8.02; 2.44–26.33), and hallucinations (22.96; 8.45–62.36) for AVA. The analyses of European ICSRs largely confirmed the safety profiles of TKIs in GISTs, but some ADRs are worthy of discussion. Further studies are needed to increase the knowledge of the neuropsychiatric disorders of newly approved TKIs.
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Couderc AL, Liuu E, Boudou-Rouquette P, Poisson J, Frelaut M, Montégut C, Mebarki S, Geiss R, ap Thomas Z, Noret A, Pierro M, Baldini C, Paillaud E, Pamoukdjian F. Pre-Therapeutic Sarcopenia among Cancer Patients: An Up-to-Date Meta-Analysis of Prevalence and Predictive Value during Cancer Treatment. Nutrients 2023; 15:nu15051193. [PMID: 36904192 PMCID: PMC10005339 DOI: 10.3390/nu15051193] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 02/18/2023] [Accepted: 02/21/2023] [Indexed: 03/08/2023] Open
Abstract
This study will address the prevalence of pre-therapeutic sarcopenia (PS) and its clinical impact during cancer treatment among adult cancer patients ≥ 18 years of age. A meta-analysis (MA) with random-effect models was performed via a MEDLINE systematic review, according to the PRISMA statement, focusing on articles published before February 2022 that reported observational studies and clinical trials on the prevalence of PS and the following outcomes: overall survival (OS), progression-free survival (PFS), post-operative complications (POC), toxicities (TOX), and nosocomial infections (NI). A total of 65,936 patients (mean age: 45.7-85 y) with various cancer sites and extensions and various treatment modes were included. Mainly defined by CT scan-based loss of muscle mass only, the pooled prevalence of PS was 38.0%. The pooled relative risks were 1.97, 1.76, 2.70, 1.47, and 1.76 for OS, PFS, POC, TOX, and NI, respectively (moderate-to-high heterogeneity, I2: 58-85%). Consensus-based algorithm definitions of sarcopenia, integrating low muscle mass and low levels of muscular strength and/or physical performance, lowered the prevalence (22%) and heterogeneity (I2 < 50%). They also increased the predictive values with RRs ranging from 2.31 (OS) to 3.52 (POC). PS among cancer patients is prevalent and strongly associated with poor outcomes during cancer treatment, especially when considering a consensus-based algorithm approach.
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Affiliation(s)
- Anne-Laure Couderc
- Internal Medicine Geriatrics and Therapeutic Unit, APHM, 13009 Marseille, France
- CNRS, EFS, ADES, Aix-Marseille University, 13015 Marseille, France
| | - Evelyne Liuu
- Department of Geriatrics, CHU Poitiers, 86000 Poitiers, France
- CIC1402 INSERM Unit, Poitiers University Hospital, 86000 Poitiers, France
| | - Pascaline Boudou-Rouquette
- Ariane Program, Department of Medical Oncology, Cochin Hospital, Paris Cancer Institute CARPEM, APHP, 75014 Paris, France
- INSERM U1016-CNRS UMR8104, Cochin Institute, Paris Cancer Institute CARPEM, Paris Cité University, 75015 Paris, France
| | - Johanne Poisson
- Department of Geriatrics, Georges Pompidou European Hospital, Paris Cancer Institute CARPEM, APHP, 75015 Paris, France
- Faculty of Health, Paris Cité University, 75006 Paris, France
| | - Maxime Frelaut
- Department of Medical Oncology, Gustave Roussy Institute, 94805 Villejuif, France
| | - Coline Montégut
- Internal Medicine Geriatrics and Therapeutic Unit, APHM, 13009 Marseille, France
- Coordination Unit for Geriatric Oncology (UCOG), PACA West, 13009 Marseille, France
| | - Soraya Mebarki
- Department of Geriatrics, Georges Pompidou European Hospital, Paris Cancer Institute CARPEM, APHP, 75015 Paris, France
| | - Romain Geiss
- Department of Medical Oncology, Curie Institute, 92210 Saint-Cloud, France
| | - Zoé ap Thomas
- Department of Cancer Medicine, Gustave Roussy Institute, 94805 Villejuif, France
| | - Aurélien Noret
- Department of Geriatrics, Georges Pompidou European Hospital, Paris Cancer Institute CARPEM, APHP, 75015 Paris, France
| | - Monica Pierro
- Department of Geriatrics, Georges Pompidou European Hospital, Paris Cancer Institute CARPEM, APHP, 75015 Paris, France
| | - Capucine Baldini
- Drug Development Department, Gustave Roussy Institute, 94805 Villejuif, France
| | - Elena Paillaud
- Department of Geriatrics, Georges Pompidou European Hospital, Paris Cancer Institute CARPEM, APHP, 75015 Paris, France
- INSERM, IMRB, Clinical, Epidemiology and Ageing, Université Paris-Est Creteil, 94010 Creteil, France
| | - Frédéric Pamoukdjian
- Department of Geriatrics, Avicenne Hospital, APHP, 93000 Bobigny, France
- INSERM UMR_S942 Cardiovascular Markers in Stressed Conditions MASCOT, Sorbonne Paris Nord University, 93000 Bobigny, France
- Correspondence:
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Luo L, Shen X, Fang S, Wan T, Liu P, Li P, Tan H, Fu Y, Guo W, Tang X. Sarcopenia as a risk factor of progression-free survival in patients with metastases: a systematic review and meta-analysis. BMC Cancer 2023; 23:127. [PMID: 36750774 PMCID: PMC9906917 DOI: 10.1186/s12885-023-10582-2] [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: 11/28/2022] [Accepted: 01/25/2023] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND Metastasis of cancer causes more than 90% of cancer deaths and is severely damaging to human health. In recent years, several studies have linked sarcopenia to shorter survival in patients with metastatic cancer. Several predictive models exist to predict mortality in patients with metastatic cancer, but have reported limited accuracy. METHODS We systematically searched Medline, EMBASE, and the Cochrane Library for articles published on or before October 14, 2022. Pooled Hazard Ratio (HR) estimates with 95% confidence intervals (CIs) were calculated using a random effects model. The primary outcome was an increased risk of death or tumor progression in patients with metastatic cancer, which is expressed as progression-free survival (PFS). In addition, we performed subgroup analyses and leave-one-out sensitivity analyses to explore the main sources of heterogeneity and the stability of the results. RESULTS Sixteen retrospective cohort studies with 1,675 patients were included in the 888 papers screened. The results showed that sarcopenia was associated with lower progression-free survival (HR = 1.56, 95% CI = 1.19-2.03, I2 = 76.3%, P < 0.001). This result was further confirmed by trim-and-fill procedures and leave-one-out sensitivity analysis. CONCLUSIONS This study suggests that sarcopenia may be a risk factor for reduced progression-free survival in patients with metastatic cancer. Further studies are still needed to explain the reason for this high heterogeneity in outcome. TRIAL REGISTRATION CRD42022325910.
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Affiliation(s)
- Lingli Luo
- Medical College, Hunan Polytechnic of Environment and Biology, Hunan Province 421005 Hengyang, China
| | - Xiangru Shen
- grid.412017.10000 0001 0266 8918Hengyang Medical College, University of South China, Hunan 421001 Hengyang, China
| | - Shuai Fang
- grid.412017.10000 0001 0266 8918Hengyang Medical College, University of South China, Hunan 421001 Hengyang, China
| | - Teng Wan
- grid.33199.310000 0004 0368 7223Department of Neurology, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, 518060 China
| | - Pan Liu
- grid.412017.10000 0001 0266 8918Hengyang Medical College, University of South China, Hunan 421001 Hengyang, China
| | - Peiling Li
- grid.412017.10000 0001 0266 8918Hengyang Medical College, University of South China, Hunan 421001 Hengyang, China
| | - Haifeng Tan
- grid.412017.10000 0001 0266 8918Hengyang Medical College, University of South China, Hunan 421001 Hengyang, China
| | - Yong Fu
- grid.412017.10000 0001 0266 8918Department of Trauma Orthopaedic, The Second Affiliated Hospital, Hengyang Medical College, University of South China, Hengyang, 421001 Hunan China
| | - Weiming Guo
- grid.33199.310000 0004 0368 7223Department of Sports Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, 518060 China
| | - Xiaojun Tang
- The Second Affiliated Hospital, Department of Spinal Surgery, Hengyang Medical School, University of South China, Hunan, 421001, Hengyang, China.
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10
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Chen Y, Zhang R, Mi D, Wang Q, Huang T, Dong X, Zhang H, Xiao H, Shi S. SPK1/S1P axis confers gastrointestinal stromal tumors (GISTs) resistance of imatinib. Gastric Cancer 2023; 26:26-43. [PMID: 35999321 PMCID: PMC9398498 DOI: 10.1007/s10120-022-01332-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 08/08/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Imatinib mesylate (IM) is highly effective in the treatment of gastrointestinal stromal tumors (GISTs). However, the most of GISTs patients develop secondary drug resistance after 1-3 years of IM treatment. The aim of this study was to explore the IM-resistance mechanism via the multi-scope combined with plasma concentration of IM, genetic polymorphisms and plasma sensitive metabolites. METHODS This study included a total of 40 GISTs patients who had been regularly treated and not treated with IM. The plasma samples were divided into three experiments, containing therapeutic drug monitoring (TDM), OCT1 genetic polymorphisms and non-targeted metabolomics. According to the data of above three experiments, the IM-resistant cell line, GIST-T1/IMR cells, was constructed for verification the IM-resistance mechanism. RESULTS The results of non-targeted metabolomics analysis suggested that the sphingophospholipid metabolic pathway including the SPK1/S1P axis was inferred in IM-insensitive patients with GISTs. A GIST cell line (GIST-T1) was immediately induced as an IM resistance cell model (GIST-T1/IMR) and we found that blocking the signal pathway of SPK1/S1P in the GIST-T1/IMR could sensitize treatment of IM and reverse the IM-resistance. CONCLUSIONS Our findings suggest that IM secondary resistance is associated with the elevation of S1P, and blockage the signaling pathway of SPK1/S1P warrants evaluation as a potential therapeutic strategy in IM-resistant GISTs. The design of this study from blood management, group information collection, IM plasma concentration with different elements, identification of sphingolipid metabolism and lastly verification the function of SPK1/S1P in the IM-resistance GISTs cells.
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Affiliation(s)
- Yan Chen
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Avenue, Chengdu, 611137, People's Republic of China
- Department of Clinical Pharmacy, School of Medicine, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610042, People's Republic of China
| | - Rui Zhang
- Department of Clinical Pharmacy, School of Medicine, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610042, People's Republic of China
| | - Dandan Mi
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Avenue, Chengdu, 611137, People's Republic of China
| | - Qiuju Wang
- Department of Clinical Laboratory, School of Medicine, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610042, People's Republic of China
| | - Tingwenli Huang
- Department of Clinical Pharmacy, School of Medicine, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610042, People's Republic of China
| | - Xinwei Dong
- Department of Clinical Pharmacy, Nantong Tumor Hospital, Nantong, 226300, People's Republic of China
| | - Hongwei Zhang
- Department of Anesthesiology, School of Medicine, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610042, People's Republic of China
| | - Hongtao Xiao
- Department of Clinical Pharmacy, School of Medicine, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, 610042, People's Republic of China
| | - Sanjun Shi
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, No.1166 Liutai Avenue, Chengdu, 611137, People's Republic of China.
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11
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Zhao H, Song N, Feng H, Lei Q, Zheng Y, Liu J, Liu C, Chai Z. Construction and validation of a prognostic model for gastrointestinal stromal tumors based on copy number alterations and clinicopathological characteristics. Front Oncol 2022; 12:1055174. [PMID: 36620561 PMCID: PMC9811389 DOI: 10.3389/fonc.2022.1055174] [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: 09/27/2022] [Accepted: 11/28/2022] [Indexed: 12/24/2022] Open
Abstract
Background The increasing incidence of gastrointestinal stromal tumors (GISTs) has led to the discovery of more novel prognostic markers. We aim to establish an unsupervised prognostic model for the early prediction of the prognosis of future patients with GISTs and to guide clinical treatment. Methods We downloaded the GISTs dataset through the cBioPortal website. We extracted clinical information and pathological information, including the microsatellite instability (MSI) score, fraction genome altered (FGA) score, tumor mutational burden (TMB), and copy number alteration burden (CNAB), of patients with GISTs. For survival analysis, we used univariate Cox regression to analyze the contribution of each factor to prognosis and calculated a hazard ratio (HR) and 95% confidence interval (95% CI). For clustering groupings, we used the t-distributed stochastic neighbor embedding (t-SNE) method for data dimensionality reduction. Subsequently, the k-means method was used for clustering analysis. Results A total of 395 individuals were included in the study. After dimensionality reduction with t-SNE, all patients were divided into two subgroups. Cluster 1 had worse OS than cluster 2 (HR=3.45, 95% CI, 2.22-5.56, P<0.001). The median MSI score of cluster 1 was 1.09, and the median MSI score of cluster 2 was 0.24, which were significantly different (P<0.001). The FGA score of cluster 1 was 0.28, which was higher than that of cluster 2 (P<0.001). In addition, both the TMB and CNAB of cluster 1 were higher than those of cluster 2, and the P values were less than 0.001. Conclusion Based on the CNA of GISTs, patients can be divided into high-risk and low-risk groups. The high-risk group had a higher MSI score, FGA score, TMB and CNAB than the low-risk group. In addition, we established a prognostic nomogram based on the CNA and clinicopathological characteristics of patients with GISTs.
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Affiliation(s)
- Heng Zhao
- Department of Oncology, Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Shandong Provincial Qianfoshan Hospital, The First Affiliated Hospital of Shandong First Medical University, Jinan, China,Department of Research and Development, Shandong Benran Biotechnology Co., Ltd., Jinan, China
| | - Nuohan Song
- Department of Research and Development, Shandong Benran Biotechnology Co., Ltd., Jinan, China,China University of Political Science and Law, Beijing, China
| | - Hao Feng
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Qiang Lei
- Department of Research and Development, Shandong Benran Biotechnology Co., Ltd., Jinan, China
| | - Yingying Zheng
- Department of Oncology, Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Shandong Provincial Qianfoshan Hospital, The First Affiliated Hospital of Shandong First Medical University, Jinan, China
| | - Jing Liu
- Department of Clinical Laboratory Medicine, Shandong Public Health Clinical Center, Shandong University, Jinan, China
| | - Chunyan Liu
- Department of Oncology, Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Shandong Provincial Qianfoshan Hospital, The First Affiliated Hospital of Shandong First Medical University, Jinan, China,*Correspondence: Chunyan Liu, ; Zhengbin Chai,
| | - Zhengbin Chai
- Department of Clinical Laboratory Medicine, Shandong Public Health Clinical Center, Shandong University, Jinan, China,*Correspondence: Chunyan Liu, ; Zhengbin Chai,
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12
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Li Y, Zhang Y, Fu Y, Yang W, Wang X, Duan L, Niu L, Chen J, Zhou W, Liu J, Wang J, Fan D, Hong L. Development and validation of a prognostic model to predict the prognosis of patients with colorectal gastrointestinal stromal tumor: A large international population-based cohort study. Front Oncol 2022; 12:1004662. [PMID: 36408151 PMCID: PMC9666406 DOI: 10.3389/fonc.2022.1004662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 09/20/2022] [Indexed: 11/07/2022] Open
Abstract
Background Colorectal gastrointestinal stromal tumors (GISTs), mesenchymal malignancy, only accounts for about 6% of GISTs, but prognosis is generally poor. Given the rarity of colorectal GISTs, the prognostic values of clinicopathological features in the patients remain unclear. Nomograms can provide a visual interface to help calculate the predicted probability of a patient meeting a specific clinical endpoint and communicate it to the patient. Methods We included a total of 448 patients with colorectal GISTs diagnosed between 2000 and 2019 from the Surveillance, Epidemiology, and End Results (SEER) database. For nomogram construction and validation, patients in the SEER database were divided randomly into the training cohort and internal validation cohort at a ratio of 7:3, while 44 patients with colorectal GISTs from our hospital patient data set between 2010 to 2016 served as the external validation cohort. The OS curves were drawn using the Kaplan–Meier method and assessed using the log-rank test. And, Fine and Gray’s competing-risks regression models were conducted to assess CSS. We performed univariate and multivariate analyses to select prognostic factors for survival time and constructed a predictive nomogram based on the results of the multivariate analysis. Results Through univariate and multivariate analyses, it is found that age, primary site, SEER stage, surgery, and tumor size constitute significant risk factors for OS, and age, primary site, histological grade, SEER stage, American Joint Committee for Cancer (AJCC) stage, surgery, and tumor size constitute risk factors for CSS. We found that the nomogram provided a good assessment of OS and CSS at 1-, 3- and 5- year in patients with colorectal GISTs. The calibration plots for the training, internal validation and external validation cohorts at 1-, 3- and 5- year OS and CSS indicated that the predicted survival rates closely correspond to the actual survival rates. Conclusion We constructed and validated an unprecedented nomogram to predict OS and CSS in patients with colorectal GISTs. The nomogram had the potential as a clinically predictive tool for colorectal GISTs prognosis, and can be used as a potential, objective and additional tool for clinicians in predicting the prognosis of colorectal GISTs patients worldwide. Clinicians could wield the nomogram to accurately evaluate patients’ OS and CSS, identify high-risk patients, and provide a baseline to optimize treatment plans.
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Affiliation(s)
- Yiding Li
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi’an, China
| | - Yujie Zhang
- Department of Histology and Embryology, School of Basic Medicine, Xi’an Medical University, Xi’an, China
| | - Yang Fu
- School of Basic Medical Sciences, Fourth Military Medical University, Xi’an, China
| | - Wanli Yang
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi’an, China
| | - Xiaoqian Wang
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi’an, China
| | - Lili Duan
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi’an, China
| | - Liaoran Niu
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi’an, China
| | - Junfeng Chen
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi’an, China
| | - Wei Zhou
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi’an, China
| | - Jinqiang Liu
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi’an, China
| | - Jing Wang
- Department of Immunology, Fourth Military Medical University, Xi’an, China
| | - Daiming Fan
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi’an, China
| | - Liu Hong
- State key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi’an, China
- *Correspondence: Liu Hong,
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13
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Li Y, Zhang X. Prognostic nomograms for gastric carcinoma after surgery to assist decision-making for postoperative treatment with chemotherapy cycles <9 or chemotherapy cycles ≥9. Front Surg 2022; 9:916483. [PMID: 36090344 PMCID: PMC9458925 DOI: 10.3389/fsurg.2022.916483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Accepted: 08/10/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveWe sought to develop novel nomograms to accurately predict overall survival (OS) of chemotherapy cycles <9 and chemotherapy cycles ≥9 and construct risk stratification to differentiate low-risk and high-risk of two cohorts.MethodsPatients who underwent curative-intent resection for gastric cancer between January 2002 and May 2020 at a single China institution were identified. Variables associated with OS were recorded and analyzed according to multivariable Cox models. Nomograms predicting 3- and 5-year OS were built according to variables resulting from multivariable Cox models. Discrimination ability was calculated using the Harrell's Concordance Index. The constructed nomogram was subjected to 1,000 resamples bootstrap for internal validation. Calibration curves for the new nomograms were used to test the consistency between the predicted and actual 3- and 5-year OS. Decision curve analysis (DCA) was performed to assess the clinical net benefit. The Concordance index (C-index) and time-dependent receiver operating characteristic (t-ROC) curves were used to evaluate and compare the discriminative abilities of the new nomograms. Finally, prognostic risk stratification of gastric cancer was conducted with X-tile software and nomograms converted into a risk-stratified prognosis model.ResultsFor the nomogram predict OS of chemotherapy cycles <9, C-index was 0.711 (95% CI, 0.663–0.760) in internal validation and 0.722 (95% CI, 0.662–0.783) in external validation, which was better than AJCC 8th edition TNM staging (internal validation: 0.627, 95% CI, 0.585–0.670) and (external validation: 0.595,95% CI, 0.543–0.648). The C-index of the nomogram for chemotherapy cycles ≥9 in internal validation was 0.755 (95% CI, 0.728–0.782) and 0.785 (95% CI, 0.747–0.823) in external validation, which was superior to the AJCC 8th edition TNM staging (internal validation: 0.712 95% CI, 0.688–0.737) and (external validation 0.734, 95% CI, 0.699–0.770).The calibration curves, t-ROC curves and DCA of the two nomogram models show that the recognition performance of the two nomogram models was outstanding. The statistical differences in the prognosis among the two risk stratification groups further showed that our model had an excellent risk stratification performance.ConclusionThis is first reported risk stratification for chemotherapy cycles of gastric carcinoma. Our proposed nomograms can effectively evaluate postoperative prognosis of patients with different chemotherapy cycles of gastric carcinoma. Chemotherapy cycles ≥9 is therefore recommended for high-risk patients with chemotherapy cycles <9, but not for low-risk patients. Meanwhile, combination with multiple therapies are essential to high-risk patients with chemotherapy cycles ≥9 and unnecessary for low-risk patients.
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Affiliation(s)
- Yifan Li
- Second Department of General Surgery, Chinese Academy of Medical Sciences, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China
| | - Xiaojuan Zhang
- Radiology Department, Chinese Academy of Medical Sciences, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China
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14
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Huang WK, Wu CE, Wang SY, Chang CF, Chou WC, Chen JS, Yeh CN. Systemic Therapy for Gastrointestinal Stromal Tumor: Current Standards and Emerging Challenges. Curr Treat Options Oncol 2022; 23:1303-1319. [PMID: 35976553 PMCID: PMC9402763 DOI: 10.1007/s11864-022-00996-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/08/2022] [Indexed: 11/27/2022]
Abstract
Gastrointestinal stromal tumor (GIST), though rare, is the most common mesenchymal tumors of the gastrointestinal tract. KIT or PDGFRα mutation plays as an oncogenic driver in the majority of GISTs. Surgical resection is the only curative treatment for localized disease. The discovery of imatinib with promising anti-tumor effect and successive tyrosine kinase inhibitors (TKI), including second-line sunitinib and third-line regorafenib, revolutionized the management of advanced and metastatic GIST over the past two decades. Recently, ripretinib and avapritinib were approved for the fourth line setting and for PDGFRA exon 18-mutant GIST in first-line setting, respectively. Despite multi-line TKIs exerted ability of disease control, drug resistance remained an obstacle for preventing rapid disease progression. Experimental TKIs or novel therapeutic targets may further improve treatment efficacy. Immune checkpoint inhibitors such as anti-programmed cell death protein-1 (PD1) and anti-CTL-associated antigen 4 (CTLA-4) showed moderate response in early phase trials composed of heavily pretreated patients. KIT/PDGFRα wild-type GISTs are generally less sensitive to imatinib and late-line TKIs. Recent studies demonstrated that targeting fibroblast growth factor receptor signaling may be a potential target for the wild-type GISTs.
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Affiliation(s)
- Wen-Kuan Huang
- Division of Hematology-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.,College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chiao-En Wu
- Division of Hematology-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.,College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Shang-Yu Wang
- College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Surgery and GIST team, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Ching-Fu Chang
- Division of Hematology-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.,College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Wen-Chi Chou
- Division of Hematology-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.,College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Jen-Shi Chen
- Division of Hematology-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.,College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chun-Nan Yeh
- College of Medicine, Chang Gung University, Taoyuan, Taiwan. .,Department of Surgery and GIST team, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.
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15
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Lin LC, Huang WK, Yen CC, Yang CY, Sung MT, Wong NSM, Chua DTT, Lee SWM, Chen JS, Yeh CN. Compassionate Use of Ripretinib for Patients With Metastatic Gastrointestinal Stromal Tumors: Taiwan and Hong Kong Experience. Front Oncol 2022; 12:883399. [PMID: 35847924 PMCID: PMC9277435 DOI: 10.3389/fonc.2022.883399] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 05/06/2022] [Indexed: 01/07/2023] Open
Abstract
Background Ripretinib was recently approved for the fourth-line targeted therapy for advanced gastrointestinal stromal tumor (GIST) refractory to imatinib, sunitinib, and regorafenib based on the pivotal INVICTUS phase III study. The INVICTUS study demonstrated significantly improved median progression-free survival (PFS) of 6.3 months and an overall survival (OS) insignificant benefit of ripretinib of 15.1 months as compared with placebo in 85 patients with advanced metastatic GIST. However, treatment outcome for the Chinese population, including in Taiwan and Hong Kong, was lacking. Material and Method A compassionate study regarding ripretinib use for patients with advanced/metastatic GIST was conducted from March 2020 to March 2021 to assess the treatment efficacy and safety in Taiwan and Hong Kong patients. Result Twenty evaluable patients (16 men and 4 women) with heavily pretreated metastatic GIST receiving ripretinib from March 2020 to March 2021 were enrolled to evaluate the treatment outcome. The response and clinical benefit rates to ripretinib were 25% (5/20) and 60% (12/20), respectively. The median PFS and OS in this compassionate cohort receiving ripretinib were 6.1 months and not reachable, respectively. Albumin less than 3.5 and disease progression after ripretinib use were the two independent unfavorable factors for PFS. There were 14 out of 20 (70%) experiencing any grade adverse event (AE). Loss of hair is the most common grade I to II AE with an incidence of 55%. Grade III AEs included diarrhea, skin rash, and anemia with one patient (5%) for each AE. Conclusions Late-line ripretinib use in pretreated Taiwan and Hong Kong patients with advanced GIST showed efficacy consistent with the INVICTUS study. Albumin less than 3.5 and disease progression after ripretinib use were the two independent unfavorable factors for PFS. Ripretinib is generally tolerable, with loss of hair being the most common AE.
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Affiliation(s)
- Li-Ching Lin
- Department of Surgery and GIST Team, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Wen-Kuan Huang
- Division of Hematology-Oncology, Department of Internal Medicine and GIST Team, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Chueh-Chuan Yen
- Division of Clinical Research, Department of Medical Research and Division of Medical Oncology, Center for Immuno-oncology, Department of Oncology, Taipei Veterans General Hospital, Taipei, Taiwan
- National Yang Ming Chiao Tung University School of Medicine, Taipei, Taiwan
| | - Ching-Yao Yang
- Department of Surgery, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Meng-Ta Sung
- Department of Oncology, Mennonite Christian Hospital, Haulien, Taiwan
| | - Natalie S. M. Wong
- Department of Clinical Oncology, Tuen Mun Hospital, Hong Kong, Hong Kong SAR, China
| | - Daniel T. T. Chua
- Department of Medicine, Hong Kong Sanatorium and Hospital, Hong Kong, Hong Kong SAR, China
| | - Sarah W. M. Lee
- Department of Clinical Oncology, Pamela Youde Nethersole Eastern Hospital, Hong Kong, Hong Kong SAR, China
| | - Jen-Shi Chen
- Division of Hematology-Oncology, Department of Internal Medicine and GIST Team, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Chun-Nan Yeh
- Department of Surgery and GIST Team, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
- *Correspondence: Chun-Nan Yeh,
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Higuchi T, Igarashi K, Yamamoto N, Hayashi K, Kimura H, Miwa S, Bouvet M, Tsuchiya H, Hoffman RM. Multikinase-Inhibitor Screening in Drug-resistant Osteosarcoma Patient-derived Orthotopic Xenograft Mouse Models Identifies the Clinical Potential of Regorafenib. Cancer Genomics Proteomics 2021; 18:637-643. [PMID: 34479916 DOI: 10.21873/cgp.20286] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 07/12/2021] [Accepted: 07/15/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND/AIM Osteosarcoma is a recalcitrant heterogenous malignancy. The aim of the present study was to compare a series of multikinase inhibitors (MKIs) for efficacy on two drug-resistant osteosarcoma patient-derived orthotopic xenograft (PDOX) models in order to identify a clinical candidate. MATERIALS AND METHODS The two osteosarcoma PDOX models were tested for response to the following MKIs: pazopanib, sunitinib, sorafenib, crizotinib, and regorafenib, in comparison to first-line treatment with cisplatinum and an untreated control. RESULTS Regorafenib led to regression of osteosarcoma in both PDOXs. Total necrosis was observed pathologically in the regorafenib-treated tumors. Sorafenib arrested growth, without inducing regression, in one osteosarcoma model but not the other, and the other MKIs only slowed tumor growth. CONCLUSION The present study demonstrated that regorafenib is much more effective than the other MKIs tested and has clinical potential against recalcitrant osteosarcoma.
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Affiliation(s)
- Takashi Higuchi
- AntiCancer, Inc., San Diego, CA, U.S.A.,Department of Surgery, University of California, San Diego, CA, U.S.A.,Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan
| | - Kentaro Igarashi
- Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan
| | - Norio Yamamoto
- Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan
| | - Katsuhiro Hayashi
- Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan
| | - Hiroaki Kimura
- Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan
| | - Shinji Miwa
- Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan
| | - Michael Bouvet
- Department of Surgery, University of California, San Diego, CA, U.S.A
| | - Hiroyuki Tsuchiya
- Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan
| | - Robert M Hoffman
- AntiCancer, Inc., San Diego, CA, U.S.A.; .,Department of Surgery, University of California, San Diego, CA, U.S.A
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