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Malik S, Guha A, Wang X, Weintraub NL, Harris R, Datta B, Moore J, Nain P, Patel SA, Coughlin S, Polter E, Prizment A, Blaes A, Florido R, Kutty S, Alonso A, Joshu CE, Platz EA. Association Between Obesity and Risk of Total and Obesity-Related Cancer in People With Incident Cardiovascular Disease. J Am Heart Assoc 2024:e034438. [PMID: 39189606 DOI: 10.1161/jaha.124.034438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Accepted: 07/23/2024] [Indexed: 08/28/2024]
Abstract
BACKGROUND Cardiovascular disease (CVD) and cancer frequently co-occur due to shared risk factors such as obesity, which is linked to CVD and 14 cancer types. This study explores whether CVD pathophysiologies, combined with obesity, increase cancer risk, impacting clinical management. METHODS AND RESULTS Data from the ARIC (Atherosclerosis Risk in Communities) study, spanning 28 years, were analyzed. The cohort included 5127 participants with incident CVD (myocardial infarction, stroke, heart failure, coronary heart disease), of whom 1511 developed a first primary cancer. Follow-up began at CVD diagnosis after Visit 1. Obesity was assessed using body mass index, waist circumference, and waist-to-hip ratio. Incidence rate differences between obesity groups were adjusted for age, sex, and center, whereas the obesity-cancer association was estimated using Fine-Gray regression adjusted for shared risk factors including smoking. Cancer incidence in obese individuals with CVD (body mass index: rate differences=226.6/100 000 person-years) was higher than in those with normal weight. Although obesity was not linked to overall cancer after adjusting for shared risk factors, it was nominally associated with obesity-related cancers. Specifically, women with CVD and obesity had increased obesity-related cancer risk (body mass index: hazard ratio, 1.67 [95% CI, 1.17-2.31]). No significant associations were found in men, even after excluding prostate cancer. CONCLUSIONS This study suggests that obesity is linked to higher obesity-related cancer risk in women with incident CVD, independent of shared risk factors. Further research is needed to eliminate residual confounding, understand sex differences, and explore how CVD pathophysiologies and obesity together influence cancer risk.
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Affiliation(s)
- Sarah Malik
- Medical College of Georgia at Augusta University Augusta GA USA
| | - Avirup Guha
- Medical College of Georgia at Augusta University Augusta GA USA
| | - Xiaoling Wang
- Medical College of Georgia at Augusta University Augusta GA USA
| | | | - Ryan Harris
- Medical College of Georgia at Augusta University Augusta GA USA
| | - Biplab Datta
- Medical College of Georgia at Augusta University Augusta GA USA
| | - Justin Moore
- Medical College of Georgia at Augusta University Augusta GA USA
| | - Priyanshu Nain
- Medical College of Georgia at Augusta University Augusta GA USA
| | | | - Steven Coughlin
- Medical College of Georgia at Augusta University Augusta GA USA
| | | | | | - Anne Blaes
- University of Minnesota Minneapolis MN USA
| | | | - Shelby Kutty
- Department of Medicine Johns Hopkins University Baltimore MD USA
| | | | - Corinne E Joshu
- Bloomberg School of Public Health Johns Hopkins University Baltimore MD USA
| | - Elizabeth A Platz
- Bloomberg School of Public Health Johns Hopkins University Baltimore MD USA
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Liu C, Yuan YC, Guo MN, Xin Z, Chen GJ, Ding N, Zheng JP, Zang B, Yang JK. Rising incidence of obesity-related cancers among younger adults in China: A population-based analysis (2007-2021). MED 2024:S2666-6340(24)00294-0. [PMID: 39181132 DOI: 10.1016/j.medj.2024.07.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 05/12/2024] [Accepted: 07/11/2024] [Indexed: 08/27/2024]
Abstract
BACKGROUND Developing countries face an "obesity epidemic," particularly affecting children and younger adults. While obesity is a known risk factor for 12 types of cancer, primarily affecting older populations, its impact on younger generations is understudied. METHODS This study analyzed data from a population-based cancer registry covering 14.14 million individuals in China (2007-2021). We compared the incidence of obesity- and non-obesity-related cancers and applied an age-period-cohort model to estimate their impacts. FINDINGS Among 651,342 cancer cases, 48.47% were obesity related. The age-standardized incidence rates (ASRs) of the 12 obesity-related cancers increased annually by 3.6% (p < 0.001), while ASRs for non-obesity-related cancers remained stable. Obesity-related cancers surged among younger adults, with rates rising across successive generations. The annual percentage of change decreased with age, from 15.28% for ages 25-29 years to 1.55% for ages 60-64 years. The incidence rate ratio for obesity-related cancer was higher in younger generations compared to those born in 1962-1966. We predict that the ASR for obesity-related cancers will nearly double in the next decade. CONCLUSIONS The rising incidence of obesity-related cancers among young adults poses a significant public health concern. The increasing cancer burden underscores the need for targeted interventions to address the obesity epidemic. FUNDING This work was supported by the National Natural Science Foundation of China (81930019, 82341076) to J.-K.Y.
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Affiliation(s)
- Chang Liu
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; Beijing Diabetes Institute, Beijing 100730, China; Beijing Key Laboratory of Diabetes Research and Care, Laboratory for Clinical Medicine, Capital Medical University, Beijing 100069, China
| | - Ying-Chao Yuan
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; Beijing Diabetes Institute, Beijing 100730, China; Beijing Key Laboratory of Diabetes Research and Care, Laboratory for Clinical Medicine, Capital Medical University, Beijing 100069, China
| | - Mo-Ning Guo
- Beijing Municipal Health Big Data and Policy Research Center, Beijing 100034, China
| | - Zhong Xin
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; Beijing Diabetes Institute, Beijing 100730, China; Beijing Key Laboratory of Diabetes Research and Care, Laboratory for Clinical Medicine, Capital Medical University, Beijing 100069, China
| | - Guan-Jie Chen
- The Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Nan Ding
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; Beijing Diabetes Institute, Beijing 100730, China; Beijing Key Laboratory of Diabetes Research and Care, Laboratory for Clinical Medicine, Capital Medical University, Beijing 100069, China
| | - Jian-Peng Zheng
- Beijing Municipal Health Big Data and Policy Research Center, Beijing 100034, China
| | - Bai Zang
- Beijing Municipal Health Big Data and Policy Research Center, Beijing 100034, China
| | - Jin-Kui Yang
- Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; Beijing Diabetes Institute, Beijing 100730, China; Beijing Key Laboratory of Diabetes Research and Care, Laboratory for Clinical Medicine, Capital Medical University, Beijing 100069, China.
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3
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Liu C, Zhang Q, Liu T, Zhang Q, Song M, Ruan G, Lin S, Wang Z, Zheng X, Chen Y, Zhang H, Ge Y, Xie H, Shi J, Deng L, Wu S, Shi H. Predicted lean body mass trajectories, and cancer risk and cancer-specific and all-cause mortality: A prospective cohort study. J Cachexia Sarcopenia Muscle 2023; 14:2916-2924. [PMID: 37969022 PMCID: PMC10751432 DOI: 10.1002/jcsm.13370] [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: 06/01/2023] [Revised: 09/12/2023] [Accepted: 10/03/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND Although many studies have investigated the association between body composition, cancer risk and mortality, predicting these risks through a single body composition measurement undoubtedly increases the limitations of the study. Few studies have explored the association between the trajectory of changes in body composition and the risk of cancer and death. We aimed to explore the association of predicted lean mass trajectories with cancer risk, cancer-specific mortality and all-cause mortality. METHODS The participants in this study were all from the Kailuan cohort, a prospective, periodic, resurvey cohort study initiated in 2006. Latent mixture modelling was used to identify predicted lean mass trajectories for 2006-2010. The hazard ratios (HRs) and 95% confidence intervals (95% CIs) of the Cox proportional hazard models were used to describe the association between predicted lean mass trajectories and cancer risk and cancer-specific and all-cause mortality during follow-up (2010-2021). RESULTS A total of 44 374 participants (average age, 53.01 ± 11.41 years, 78.99% men and 21.01% women) were enrolled in this study. Five distinct trajectories were identified: low-stable (n = 12 060), low-increasing (n = 8027), moderately stable-decreasing (n = 4725), moderately stable-increasing (n = 8053) and high-stable (n = 11 509). During the 11-year follow-up period, 2183 cancer events were recorded. After adjusting for age, predicted fat mass in 2010, sex, BMI, sedentary, physical activity, smoke, alcohol use, salt consumption, high-fat diet, high-sensitivity C-reactive protein, serum creatinine, family history of tumour, hypertension, diabetes mellitus, compared with the low-stable group, participants in the low-increasing group (HR = 0.851, 95% CI, 0.748-0.969), moderately stable-increasing group (HR = 0.803, 95% CI, 0.697-0.925) and high-stable group (HR = 0.770, 95% CI, 0.659-0.901) had a lower cancer risk, but not in the moderately stable-decreasing group (HR = 0.864, 95% CI, 0.735-1.015). Compared with the low-stable group, the risk of cancer-specific mortality was reduced by 25.4% (8.8-38.9%), 36.5% (20.3-49.4%) and 35.4% (17.9-49.2%), and the risk of all-cause mortality was reduced by 24.2% (16.9-30.8%), 37.0% (30.0-43.2%) and 47.4% (41.0-53.1%) in the low-increasing, moderately stable-increasing group and high-stable groups, respectively. CONCLUSIONS Predicted lean mass trajectories may be closely associated with cancer risk and cancer-specific and all-cause mortality. Regular monitoring of body composition is necessary.
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Affiliation(s)
- Chenan Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan HospitalCapital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric Diseases, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
| | - Qingsong Zhang
- Department of General SurgeryKailuan General HospitalTangshanChina
| | - Tong Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan HospitalCapital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric Diseases, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
| | - Qi Zhang
- Department of GeneticsYale University School of MedicineNew HavenConnecticutUSA
| | - Mengmeng Song
- Cardiovascular Research InstituteUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Guotian Ruan
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan HospitalCapital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric Diseases, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
| | - Shiqi Lin
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan HospitalCapital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric Diseases, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
| | - Ziwen Wang
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan HospitalCapital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric Diseases, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
| | - Xin Zheng
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan HospitalCapital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric Diseases, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
| | - Yue Chen
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan HospitalCapital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric Diseases, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
| | - Heyang Zhang
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan HospitalCapital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric Diseases, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
| | - Yizhong Ge
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan HospitalCapital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric Diseases, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
| | - Hailun Xie
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan HospitalCapital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric Diseases, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
| | - Jinyu Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan HospitalCapital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric Diseases, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
| | - Li Deng
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
| | - Shouling Wu
- Department of CardiologyKailuan General HospitalTangshanChina
| | - Hanping Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan HospitalCapital Medical UniversityBeijingChina
- National Clinical Research Center for Geriatric Diseases, Xuanwu HospitalCapital Medical UniversityBeijingChina
- Key Laboratory of Cancer FSMP for State Market RegulationBeijingChina
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and NutritionBeijingChina
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Shao J, Wang M, Zhang A, Liu Z, Jiang G, Tang T, Wang J, Jia X, Lai S. Interference of a mammalian circRNA regulates lipid metabolism reprogramming by targeting miR-24-3p/Igf2/PI3K-AKT-mTOR and Igf2bp2/Ucp1 axis. Cell Mol Life Sci 2023; 80:252. [PMID: 37587272 PMCID: PMC11071982 DOI: 10.1007/s00018-023-04899-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Revised: 07/08/2023] [Accepted: 07/26/2023] [Indexed: 08/18/2023]
Abstract
White adipose tissue (WAT) is important for regulating the whole systemic energy homeostasis. Excessive WAT accumulation further contributes to the development of obesity and obesity-related illnesses. More detailed mechanisms for WAT lipid metabolism reprogramming, however, are still elusive. Here, we report the abnormally high expression of a circular RNA (circRNA) mmu_circ_0001874 in the WAT and liver of mice with obesity. mmu_circ_0001874 interference achieved using a specific adeno-associated virus infects target tissues, down-regulating lipid accumulation in the obesity mice WAT, and liver tissues. Mechanistically, miR-24-3p directly interacts with the lipid metabolism effect of mmu_circ_0001874 and participates in adipogenesis and lipid accumulation by targeting Igf2/PI3K-AKT-mTOR axis. Moreover, mmu_circ_0001874 binds to Igf2bp2 to interact with Ucp1, up-regulating Ucp1 translation and increasing thermogenesis to decrease lipid accumulation. In conclusion, our data highlight a physiological role for circRNA in lipid metabolism reprogramming and suggest mmu_circ_0001874/miR-24-3p/Igf2/PI3K-AKT-mTOR and mmu_circ_0001874/Igf2bp2/Ucp1 axis may represent a potential mechanism for controlling lipid accumulation in obesity.
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Affiliation(s)
- Jiahao Shao
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Meigui Wang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Anjing Zhang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Zheliang Liu
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Genglong Jiang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Tao Tang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Jie Wang
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Xianbo Jia
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Songjia Lai
- College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
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Seke Etet PF, Vecchio L, Nwabo Kamdje AH, Mimche PN, Njamnshi AK, Adem A. Physiological and Environmental Factors Affecting Cancer Risk and Prognosis in Obesity. Semin Cancer Biol 2023:S1044-579X(23)00093-7. [PMID: 37301450 DOI: 10.1016/j.semcancer.2023.06.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 05/12/2023] [Accepted: 06/07/2023] [Indexed: 06/12/2023]
Abstract
Obesity results from a chronic excessive accumulation of adipose tissue due to a long-term imbalance between energy intake and expenditure. Available epidemiological and clinical data strongly support the links between obesity and certain cancers. Emerging clinical and experimental findings have improved our understanding of the roles of key players in obesity-associated carcinogenesis such as age, sex (menopause), genetic and epigenetic factors, gut microbiota and metabolic factors, body shape trajectory over life, dietary habits, and general lifestyle. It is now widely accepted that the cancer-obesity relationship depends on the site of cancer, the systemic inflammatory status, and microenvironmental parameters such as levels of inflammation and oxidative stress in transforming tissues. We hereby review recent advances in our understanding of cancer risk and prognosis in obesity with respect to these players. We highlight how the lack of their consideration contributed to the controversy over the link between obesity and cancer in early epidemiological studies. Finally, the lessons and challenges of interventions for weight loss and better cancer prognosis, and the mechanisms of weight gain in survivors are also discussed.
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Affiliation(s)
- Paul F Seke Etet
- Department of Physiological Sciences and Biochemistry, Faculty of Medicine and Biomedical Sciences, University of Garoua, Cameroon; Basic and Translational Research Unit, Center for Sustainable Health and Development, Garoua, Cameroon; Brain Research Africa Initiative (BRAIN) &Neuroscience Laboratory, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Yaoundé, Cameroon.
| | - Lorella Vecchio
- Basic and Translational Research Unit, Center for Sustainable Health and Development, Garoua, Cameroon; Brain Research Africa Initiative (BRAIN) &Neuroscience Laboratory, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Yaoundé, Cameroon
| | - Armel H Nwabo Kamdje
- Department of Physiological Sciences and Biochemistry, Faculty of Medicine and Biomedical Sciences, University of Garoua, Cameroon
| | - Patrice N Mimche
- Division of Microbiology and Immunology, Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT 84112, United States
| | - Alfred K Njamnshi
- Brain Research Africa Initiative (BRAIN) &Neuroscience Laboratory, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Yaoundé, Cameroon
| | - Abdu Adem
- Department of Pharmacology and Therapeutics, College of Medicine and Health Sciences, Khalifa University, Abu Dhabi, United Arab Emirates.
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Prognostic Value of Combination of Controlling Nutritional Status and Tumor Marker in Patients with Radical Non-Small-Cell Lung Cancer. DISEASE MARKERS 2022; 2022:4764609. [PMID: 36193507 PMCID: PMC9525734 DOI: 10.1155/2022/4764609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 09/05/2022] [Accepted: 09/07/2022] [Indexed: 11/24/2022]
Abstract
Background Controlling nutritional status (CONUT) and tumor markers are associated with prognosis in patients with non-small-cell lung cancer (NSCLC). This study is aimed at exploring the potential usefulness of T-CONUT, constructed by combining CONUT and tumor markers, for NSCLC patients undergoing radical surgery. Methods A total of 483 patients with NSCLC underwent radical surgical resection. The receiver characteristic operating curve (ROC) was used to select the tumor marker with the highest predictive performance, and CONUT was combined with this marker to construct the T-CONUT. The Kaplan–Meier method and log-rank test were used to analyze the overall survival (OS), and chi-square analysis was used to analyze the association between T-CONUT and clinicopathological characteristics. The independent risk factors were analyzed by Cox regression. A nomogram was constructed by R studio. Calibration plots, the c-index, and decision curves were evaluated for the performance of the nomogram. Results ROC analysis showed that the predictive performance of CYFRA21–1 was better than that of CEA, NSE, and SCC. CYFRA21–1 was selected for combining with CONUT to construct T-CONUT. Elevated T-CONUT indicates poor prognosis of patients. Histological type, pTNM, and T-CONUT are independent risk factors associated with patient prognosis. The areas under the curve of the nomogram for predicting 3- and 5-year OS were 0.760 and 0.761, respectively. Conclusion T-CONUT comprising CYFRA21–1 and CONUT can effectively predict the prognosis of NSCLC patients.
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Katzmarzyk PT, Brown JC, Yang S, Mire EF, Wu XC, Miele L, Ochoa AC, Zabaleta J. Association of Abdominal Visceral Adiposity and Total Fat Mass with Cancer Incidence and Mortality in White and Black Adults. Cancer Epidemiol Biomarkers Prev 2022; 31:1532-1538. [PMID: 35654355 PMCID: PMC9357175 DOI: 10.1158/1055-9965.epi-22-0207] [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: 02/24/2022] [Revised: 04/21/2022] [Accepted: 05/20/2022] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Race modifies the association between anthropometric measures of obesity and cancer risk. However, the degree to which abdominal visceral adipose tissue (VAT) and total fat mass (FM) are associated with cancer risk is not known. METHODS The sample included 3,017 White and 1,347 Black adults who were assessed between 1995 and 2016 and followed for outcome assessment through 2017. Abdominal VAT and FM were measured using imaging techniques. The co-primary endpoints were diagnosis of histologically confirmed invasive cancer (excluding nonmelanoma skin cancer) or death from cancer. Multivariable Cox proportional hazards models quantified the HR of incident cancer and cancer mortality. RESULTS There were 353 incident cancer cases and 75 cancer deaths in an average of 12.9 years of follow-up. Both VAT [HR, 1.21; 95% confidence interval (CI), 1.09-1.36] and FM (HR, 1.25; 95% CI, 1.10-1.43) were significantly associated with incident cancer, while VAT (HR, 1.28; 95% CI, 1.01-1.61) was significantly associated with cancer mortality after adjustment for several covariates. VAT remained significantly associated with cancer incidence (HR, 1.22; 95% CI, 1.03-1.46) after additional inclusion of FM in the multivariable model, but not vice versa. There were no significant sex- or race-interactions. CONCLUSIONS VAT was associated with risk of cancer and cancer mortality in this cohort, and the associations did not differ by sex or race. The association between VAT and incident cancer was largely independent of total FM. IMPACT Our results suggest that utility of anthropometry in assessing obesity-related cancer risk may need to be further refined by including more direct measures of adiposity.
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Affiliation(s)
- Peter T. Katzmarzyk
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
| | - Justin C. Brown
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 1700 Tulane Avenue, New Orleans, LA 70112, USA
| | - Shengping Yang
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
| | - Emily F. Mire
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
| | - Xiao-Cheng Wu
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 1700 Tulane Avenue, New Orleans, LA 70112, USA
- Louisiana State University Health Science Center School of Public Health/Louisiana Tumor Registry, 2020 Gravier St, New Orleans, LA 70122, USA
| | - Lucio Miele
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 1700 Tulane Avenue, New Orleans, LA 70112, USA
| | - Augusto C. Ochoa
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 1700 Tulane Avenue, New Orleans, LA 70112, USA
| | - Jovanny Zabaleta
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 1700 Tulane Avenue, New Orleans, LA 70112, USA
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Wang H, Fang T, Yin X, Lou S, Han B, Gao J, Wang Y, Wang X, Zhang D, Wang Y, Zhang Y, Xue Y. Prognostic importance of the preoperative New-Naples prognostic score for patients with gastric cancer. Cancer Med 2022; 12:1358-1375. [PMID: 35833662 PMCID: PMC9883407 DOI: 10.1002/cam4.5017] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 06/10/2022] [Accepted: 06/23/2022] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND The wide applicability of the Naples prognostic score (NPS) is still worthy of further study in gastric cancer (GC). This study aimed to construct a New-NPS based on the differences in immunity and nutrition in patients with upper and lower gastrointestinal tumors to help obtain an individualized prediction of prognosis. METHODS This study retrospectively analyzed patients who underwent radical gastrectomy from April 2014 to September 2016. The cutoff values of the preoperative neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), serum albumin (Alb), and total cholesterol (TC) were calculated by ROC curve analysis. ROC and t-ROC were used to evaluate the accuracy of the prognostic markers. The Kaplan-Meier method and log-rank test were used to analyze the overall survival probability. Univariate and multivariate analyses based on Cox risk regression were used to show the independent predictors. The nomogram was made by R studio. The predictive accuracy of nomogram was assessed using a calibration plot, concordance index (C-index), and decision curve. RESULTS A total of 737 patients were included in training cohort, 411 patients were included in validation cohort. ROC showed that the New-NPS was more suitable for predicting the prognosis of GC patients. NPS = 2 indicated a poor prognosis. Multivariate analysis showed that CEA (P = 0.026), Borrmann type (P = 0.001), pTNM (P < 0.001), New-NPS (P < 0.001), and nerve infiltration (P = 0.035) were independent risk factors for prognosis. CONCLUSION The New-NPS based on the cutoff values of NLR, LMR, Alb, and TC is not only suitable for predicting prognosis but can also be combined with clinicopathological characteristics to construct a nomogram model for GC patients.
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Affiliation(s)
- Hao Wang
- Department of Gastroenterological SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinChina
| | - Tianyi Fang
- Department of Gastroenterological SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinChina
| | - Xin Yin
- Department of Gastroenterological SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinChina
| | - Shenghan Lou
- Department of Gastroenterological SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinChina
| | - Bangling Han
- Department of Gastroenterological SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinChina
| | - Jialiang Gao
- Department of Gastroenterological SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinChina
| | - Yufei Wang
- Department of Gastroenterological SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinChina
| | - Xibo Wang
- Department of Gastroenterological SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinChina
| | - Daoxu Zhang
- Department of Gastroenterological SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinChina
| | - Yimin Wang
- Department of Gastroenterological SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinChina
| | - Yao Zhang
- Department of Gastroenterological SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinChina
| | - Yingwei Xue
- Department of Gastroenterological SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinChina
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Brown JC, Yang S, Mire EF, Wu X, Miele L, Ochoa A, Zabaleta J, Katzmarzyk PT. Obesity and cancer death in white and black adults: A prospective cohort study. Obesity (Silver Spring) 2021; 29:2119-2125. [PMID: 34693655 PMCID: PMC9256081 DOI: 10.1002/oby.23290] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 07/29/2021] [Accepted: 08/02/2021] [Indexed: 12/18/2022]
Abstract
OBJECTIVE This study aimed to determine whether race modifies the association between obesity and cancer death. METHODS The Pennington Center Longitudinal Study included 18,296 adults; 35.0% were male and 34.3% were Black. The primary end point was death from cancer. RESULTS During a follow-up of 14.3 years, 346 cancer deaths occurred. Among men, race modified the association of BMI and cancer death (pinteraction = 0.045); compared with a BMI of 22 kg/m2 , a BMI of 35 in White men was associated with a hazard ratio of 1.74 (95% CI: 1.38-2.21), and in Black men, the hazard ratio was 0.64 (95% CI: 0.45-0.90). Among women, race did not modify the association of BMI and cancer death (pinteraction =0.43); however, compared with a BMI of 22, a BMI of 35 in White women was associated with a hazard ratio of 1.42 (95% CI: 1.18-1.70) and in Black women, the hazard ratio was 0.99 (95% CI: 0.82-1.20). CONCLUSIONS In this diverse cohort of adults, having obesity was associated with an increased risk of cancer death in White men and women. In contrast, having obesity was associated with a reduced risk of cancer death in Black men and did not influence risk in Black women.
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Affiliation(s)
- Justin C. Brown
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
| | - Shengping Yang
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
| | - Emily F. Mire
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
| | - Xiaocheng Wu
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
- Louisiana State University Health Science Center School of Public Health/Louisiana Tumor Registry, 2020 Gravier St, New Orleans, LA 70122, USA
| | - Lucio Miele
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
| | - Augusto Ochoa
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
| | - Jovanny Zabaleta
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
| | - Peter T. Katzmarzyk
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
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10
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Brown JC, Yang S, Mire EF, Wu X, Miele L, Ochoa A, Zabaleta J, Katzmarzyk PT. Obesity and Cancer Risk in White and Black Adults: A Prospective Cohort Study. Obesity (Silver Spring) 2021; 29:960-965. [PMID: 34029447 PMCID: PMC8422242 DOI: 10.1002/oby.23163] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 01/27/2021] [Accepted: 02/22/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Anthropometric measures of obesity, including BMI and waist circumference (WC), do not quantify excess adiposity and metabolic abnormalities consistently across racial populations. This study tested the hypothesis that participant race modifies the association of anthropometric measures of obesity and cancer risk. METHODS This prospective cohort (The Pennington Center Longitudinal Study) included 18,296 adults, 6,405 (35.0%) male sex and 6,273 (34.3%) Black race. The primary exposures were BMI (weight in kilograms/height in meters squared) and WC (centimeters). The primary end point was the time from study enrollment to diagnosis of histologically confirmed invasive cancer. RESULTS During a median follow-up of 14.0 years (interquartile range: 9.8-19.0 years), invasive cancer occurred in 1,350 participants. Among men, race modified the association of BMI (Pinteraction = 0.02) and WC (Pinteraction = 0.01) with cancer incidence; compared with a BMI of 22 kg/m2 , a BMI of 35 kg/m2 in White men was associated with a hazard ratio of 1.83 (95% CI: 1.58-2.12), whereas in Black men, the hazard ratio was 0.89 (95% CI: 0.72-1.11). Among women, race did not modify the association of BMI (Pinteraction = 0.41) or WC (Pinteraction = 0.36) with cancer incidence. CONCLUSIONS In this diverse cohort of adults, participant race and sex modified the prognostic associations of anthropometric measures of obesity and cancer risk.
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Affiliation(s)
- Justin C. Brown
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
| | - Shengping Yang
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
| | - Emily F. Mire
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
| | - Xiaocheng Wu
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
- Louisiana State University Health Science Center School of Public Health/Louisiana Tumor Registry, 2020 Gravier St, New Orleans, LA 70122, USA
| | - Lucio Miele
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
| | - Augusto Ochoa
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
| | - Jovanny Zabaleta
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
| | - Peter T. Katzmarzyk
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
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