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Si F, Ma X, Liu Q, Yu J. Reviewing the path to balance: mechanisms and management of hypertension associated with targeting vascular endothelium in cancer therapy. Hypertens Res 2025; 48:1034-1047. [PMID: 39820066 DOI: 10.1038/s41440-024-02086-8] [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: 10/22/2024] [Revised: 12/13/2024] [Accepted: 12/21/2024] [Indexed: 01/19/2025]
Abstract
Contemporary anticancer drugs are often accompanied by varying degrees of cardiovascular toxicity, with hypertension emerging as one of the most prevalent side effects, particularly linked to inhibitors of vascular endothelial growth factor receptor (VEGFR) and tyrosine kinase inhibitors (TKIs). Hypertension induced by cancer therapies contributes to increased cardiovascular mortality in cancer patients and survivors. Given the shared common risk factors and overlapping pathophysiological mechanisms, hypertension is also a prevalent comorbidity in this patient population. The mechanisms underlying hypertension induced by therapies targeting the vascular endothelial growth factor (VEGF) signaling pathway primarily involve reduced nitric oxide (NO) synthesis, increased endothelin-1 (ET-1) production, oxidative stress, microvascular rarefaction and dysfunction, decreased natriuresis, activation of the renin-angiotensin system (RAS), and partial endothelial cell death. Research into hypertension associated with therapies targeting the VEGF signaling pathway (VSP) could facilitate the optimization of cancer treatments, improve the evaluation and management of hypertension during targeted therapy, and help to reduce cardiovascular event rates and overall patient mortality. This review aims to provide a comprehensive summary of the current advancements in this area.
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Affiliation(s)
- Fei Si
- The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China
| | - Xin Ma
- The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China
| | - Qian Liu
- The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China
| | - Jing Yu
- The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
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Yu Z, Liang C, Li R, Xu Q, Gao J, Li P, Zhou S, Zhao X, Xu M, Liang W. The impact of diabetes mellitus on short and long term outcomes in patients with gastric cancer following radical surgery: a retrospective cohort study with propensity score matching. BMC Cancer 2024; 24:1461. [PMID: 39604929 PMCID: PMC11603664 DOI: 10.1186/s12885-024-13232-3] [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: 06/16/2024] [Accepted: 11/22/2024] [Indexed: 11/29/2024] Open
Abstract
BACKGROUND The objective of this study was to analyze the impact of diabetes mellitus (DM) on short and long term outcomes following radical gastrectomy using propensity score matching (PSM) method, as well as to further investigate the factors influencing patient survival post-radical gastrectomy. METHODS The patients who underwent radical gastrectomy for gastric cancer (GC) between January 2011 and December 2015 were selected as study population, and PSM procedure was conducted with a matching ratio of 1:3 between the DM and non-DM groups. The short-term recovery and long-term survival outcomes were compared between the DM and non-DM group. Subsequently, univariate and multivariate COX regression analyses were conducted to further explore the factors that influence survival outcomes. RESULTS Among the cohort of 2508 GC patients who underwent radical surgery prior to PSM, a total of 295 (11.8%) individuals were diagnosed with DM. After conducting 1:3 PSM, 293 DM patients and 821 control patients were enrolled. The results of comparative analysis revealed that the DM group exhibited a significantly higher rate of overall complications (P < 0.001), grade III-V complications (P = 0.010), and prolonged hospitalization (P = 0.001) compared to the control group. However, no statistical difference was observed in survival outcomes between the two groups. Besides, age > 65years (P < 0.001), BMI < 18.5 kg/m2 (P = 0.001), tumor size > 5 cm (P < 0.001), higher T (P = 0.012) and N tumor stage (P < 0.001), and the occurrence of severe complications (P = 0.007) were identified as independent risk factors for overall survival (OS). CONCLUSIONS The presence of combined DM in GC patients can heighten the susceptibility to postoperative complications and protract the duration of postoperative recovery, while exerting no significant impact on OS. This study also explored the predictors for OS, thereby providing valuable guidance for the perioperative management and postoperative monitoring.
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Affiliation(s)
- Zhiyuan Yu
- Medical School of Chinese PLA, Beijing, China
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
- School of Medicine, Nankai University, Tianjin, China
| | - Chen Liang
- Department of Gastroenterology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China
| | - Rui Li
- Medical School of Chinese PLA, Beijing, China
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
- School of Medicine, Nankai University, Tianjin, China
| | - Qixuan Xu
- Medical School of Chinese PLA, Beijing, China
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Jingwang Gao
- Medical School of Chinese PLA, Beijing, China
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Peiyu Li
- Medical School of Chinese PLA, Beijing, China
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
- School of Medicine, Nankai University, Tianjin, China
| | - Sixin Zhou
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China
| | - Xudong Zhao
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China.
| | - Manman Xu
- Fourth Department of Liver Disease, Beijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Beijing You'an Hospital, Capital Medical University, No.8 Xitou Tiao Road Youwai Street, Beijing, 100069, China.
| | - Wenquan Liang
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Fuxing Road 28, Haidian District, Beijing, 100853, China.
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Kim J, Kim YH, Kim YJ, Kang HT. A 5-Year Mortality Prediction Model for Prostate Cancer Patients Based on the Korean Nationwide Health Insurance Claims Database. J Pers Med 2024; 14:1058. [PMID: 39452565 PMCID: PMC11509071 DOI: 10.3390/jpm14101058] [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: 09/09/2024] [Revised: 10/01/2024] [Accepted: 10/09/2024] [Indexed: 10/26/2024] Open
Abstract
BACKGROUND Prostate cancer is the fourth most common cancer and eighth leading cause of cancer-related mortality worldwide. Its incidence is increasing in South Korea. This study aimed to investigate a predictive model for the 5-year survival probability of prostate cancer patients in a Korean primary care setting. METHOD This retrospective study used data from the nationwide insurance claims database. The main outcome was survival probability 5 years after the initial diagnosis of prostate cancer. Potential confounding factors such as age, body mass index (BMI), blood pressure, laboratory results, lifestyle behaviors, household income, and comorbidity index were considered. These variables were available in the national health check-up information. A Cox proportional hazards regression model was used to develop the predictive model. The predictive performance was calculated based on the mean area under the receiver operating characteristic curve (AUC) after 10-fold cross-validation. RESULTS The mean 5-year survival probability was 82.0%. Age, fasting glucose and gamma-glutamyl transferase levels, current smoking, and multiple comorbidities were positively associated with mortality, whereas BMI, alkaline phosphatase levels, total cholesterol levels, alcohol intake, physical activity, and household income were inversely associated with mortality. The mean AUC after 10-fold cross-validation was 0.71. CONCLUSIONS The 5-year survival probability model showed a moderately good predictive performance. This may be useful in predicting the survival probability of prostate cancer patients in primary care settings. When interpreting these results, potential limitations, such as selection or healthy user biases, should be considered.
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Affiliation(s)
- Joungyoun Kim
- Department of Artificial Intelligence, University of Seoul, Seoul 02540, Republic of Korea;
| | - Yong-Hoon Kim
- Department of Biostatistics and Computing, Yonsei University Graduate School, Seoul 03722, Republic of Korea;
| | - Yong-June Kim
- Department of Urology, Chungbuk National University Hospital, Cheongju 28644, Republic of Korea
- Department of Urology, College of Medicine, Chungbuk National University, Cheongju 28644, Republic of Korea
| | - Hee-Taik Kang
- Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
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Jung JW, Kim KH, Yun J, Nam HS, Heo JH, Baik M, Yoo J, Kim J, Park H, Sohn SI, Hong JH, Kim BM, Kim DJ, Heo J, Bang OY, Seo WK, Chung JW, Lee KY, Jung YH, Lee HS, Ahn SH, Shin DH, Choi HY, Cho HJ, Baek JH, Kim GS, Seo KD, Kim SH, Song TJ, Han SW, Park JH, Choi JK, Kim YD. Effectiveness of endovascular treatment for in-hospital stroke vs. community-onset stroke: a propensity score-matched analysis. J Neurol 2024; 271:2684-2693. [PMID: 38376545 DOI: 10.1007/s00415-024-12232-4] [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: 11/28/2023] [Revised: 01/27/2024] [Accepted: 01/27/2024] [Indexed: 02/21/2024]
Abstract
BACKGROUND The effectiveness of endovascular treatment for in-hospital stroke remains debatable. We aimed to compare the outcomes between patients with in-hospital stroke and community-onset stroke who received endovascular treatment. METHODS This prospective registry-based cohort study included consecutive patients who underwent endovascular treatment from January 2013 to December 2022 and were registered in the Selection Criteria in Endovascular Thrombectomy and Thrombolytic Therapy study and Yonsei Stroke Cohort. Functional outcomes at day 90, radiological outcomes, and safety outcomes were compared between the in-hospital and community-onset groups using logistic regression and propensity score-matched analysis. RESULTS Of 1,219 patients who underwent endovascular treatment, 117 (9.6%) had in-hospital stroke. Patients with in-hospital onset were more likely to have a pre-stroke disability and active cancer than those with community-onset. The interval from the last known well to puncture was shorter in the in-hospital group than in the community-onset group (155 vs. 355 min, p<0.001). No significant differences in successful recanalization or safety outcomes were observed between the groups; however, the in-hospital group exhibited worse functional outcomes and higher mortality at day 90 than the community-onset group (all p<0.05). After propensity score matching including baseline characteristics, functional outcomes after endovascular treatment did not differ between the groups (OR: 1.19, 95% CI 0.78-1.83, p=0.4). Safety outcomes did not significantly differ between the groups. CONCLUSION Endovascular treatment is a safe and effective treatment for eligible patients with in-hospital stroke. Our results will help physicians in making decisions when planning treatment and counseling caregivers or patients.
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Affiliation(s)
- Jae Wook Jung
- Department of Neurology, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
| | - Kwang Hyun Kim
- Department of Neurology, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
| | - Jaeseob Yun
- Department of Neurology, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
| | - Hyo Suk Nam
- Department of Neurology, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
- Integrative Research Center for Cerebrovascular and Cardiovascular Diseases, Yonsei University College of Medicine, Seoul, South Korea
| | - Ji Hoe Heo
- Department of Neurology, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
- Integrative Research Center for Cerebrovascular and Cardiovascular Diseases, Yonsei University College of Medicine, Seoul, South Korea
| | - Minyoul Baik
- Department of Neurology, Yonsei University College of Medicine, Yongin Severance Hospital, Yongin, South Korea
| | - Joonsang Yoo
- Department of Neurology, Yonsei University College of Medicine, Yongin Severance Hospital, Yongin, South Korea
| | - Jinkwon Kim
- Department of Neurology, Yonsei University College of Medicine, Yongin Severance Hospital, Yongin, South Korea
| | - Hyungjong Park
- Department of Neurology, Brain Research Institute, Keimyung University School of Medicine, Daegu, South Korea
| | - Sung-Il Sohn
- Department of Neurology, Brain Research Institute, Keimyung University School of Medicine, Daegu, South Korea
| | - Jeong-Ho Hong
- Department of Neurology, Brain Research Institute, Keimyung University School of Medicine, Daegu, South Korea
| | - Byung Moon Kim
- Department of Radiology, Yonsei University College of Medicine, Seoul, South Korea
| | - Dong Joon Kim
- Department of Radiology, Yonsei University College of Medicine, Seoul, South Korea
| | - JoonNyung Heo
- Department of Radiology, Yonsei University College of Medicine, Seoul, South Korea
| | - Oh Young Bang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Woo-Keun Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jong-Won Chung
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Kyung-Yul Lee
- Department of Neurology, Gangnam Severance Hospital, Severance Institute for Vascular and Metabolic Research, Yonsei University College of Medicine, Seoul, South Korea
| | - Yo Han Jung
- Department of Neurology, Gangnam Severance Hospital, Severance Institute for Vascular and Metabolic Research, Yonsei University College of Medicine, Seoul, South Korea
| | - Hye Sun Lee
- Department of Research Affairs, Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, South Korea
| | - Seong Hwan Ahn
- Department of Neurology, Chosun University School of Medicine, Gwangju, South Korea
| | - Dong Hoon Shin
- Department of Neurology, Gachon University Gil Medical Center, Incheon, South Korea
| | - Hye-Yeon Choi
- Department of Neurology, Kyung Hee University at Gangdong, Kyung Hee University College of Medicine, Seoul, South Korea
| | - Han-Jin Cho
- Department of Neurology, Pusan National University School of Medicine, Busan, South Korea
| | - Jang-Hyun Baek
- Department of Neurology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Gyu Sik Kim
- Department of Neurology, National Health Insurance Service Ilsan Hospital, Goyang, South Korea
| | - Kwon-Duk Seo
- Department of Neurology, National Health Insurance Service Ilsan Hospital, Goyang, South Korea
| | - Seo Hyun Kim
- Department of Neurology, Yonsei University Wonju College of Medicine, Wonju, South Korea
| | - Tae-Jin Song
- Department of Neurology, College of Medicine, Seoul Hospital, Ewha Womans University, Seoul, South Korea
| | - Sang Won Han
- Department of Neurology, Sanggye Paik Hospital, Inje University College of Medicine, Seoul, South Korea
| | - Joong Hyun Park
- Department of Neurology, Sanggye Paik Hospital, Inje University College of Medicine, Seoul, South Korea
| | - Jin Kyo Choi
- Department of Neurology, Seoul Medical Center, Seoul, South Korea
| | - Young Dae Kim
- Department of Neurology, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
- Integrative Research Center for Cerebrovascular and Cardiovascular Diseases, Yonsei University College of Medicine, Seoul, South Korea.
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Yoo J, Jeon J, Baik M, Kim J. Risk of thromboembolism according to statin treatment in patients with cancer: A nationwide nested case-control study. Thromb Res 2024; 235:32-40. [PMID: 38295599 DOI: 10.1016/j.thromres.2024.01.016] [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: 10/02/2023] [Revised: 01/12/2024] [Accepted: 01/19/2024] [Indexed: 02/02/2024]
Abstract
BACKGROUND Thromboembolic events exhibit increased prevalence in patients with cancer and can negatively affect prognoses. We investigated whether statin treatment would reduce thromboembolic risk in patients with cancer. METHODS We conducted a nested case-control study using a Korean nationwide health claims database. The study included patients newly diagnosed with cancer without a prior history of cardiovascular disease between 2014 and 2016. Cases who developed arterial thromboembolism (ATE) or venous thromboembolism (VTE) after cancer diagnosis and three individually matched controls were selected. Conditional logistic regression was used to assess the association between thromboembolic risk and statin therapy after cancer diagnosis. RESULTS Among 455,805 newly diagnosed patients with cancer followed for a mean of 4.3 ± 2.0 years, 22,249 patients developed thromboembolic events (ATE: 6341, VTE: 15,908), resulting in an incidence rate of 1133 per 100,000 person-years. The nested case-control study included 21,289 cases with thromboembolic events and 63,867 controls. Statin use was less frequent in the case group (18.0 % vs. 23.7 %). Statin treatment was associated with a lower risk of thromboembolic events (adjusted odds ratio [OR] 0.70; 95 % confidence interval [CI] 0.67-0.73). This association was observed for both ATE (adjusted OR 0.68; 95 % CI 0.63-0.74) and VTE (adjusted OR 0.71; 95 % CI 0.67-0.75). Longer statin use and better adherence were also associated with lower risk for thromboembolic events. Statin treatment was significantly associated with fewer thromboembolic events in most cancer types. CONCLUSIONS Statin use was associated with lower risk for thromboembolic events in patients newly diagnosed with cancer.
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Affiliation(s)
- Joonsang Yoo
- Department of Neurology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea
| | - Jimin Jeon
- Department of Neurology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea
| | - Minyoul Baik
- Department of Neurology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea
| | - Jinkwon Kim
- Department of Neurology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea; Institute for Innovation in Digital Healthcare, Yonsei University Health System, Seoul, Republic of Korea.
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