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Becerra-Tomás N, Markozannes G, Cariolou M, Balducci K, Vieira R, Kiss S, Aune D, Greenwood DC, Dossus L, Copson E, Renehan AG, Bours M, Demark-Wahnefried W, Hudson MM, May AM, Odedina FT, Skinner R, Steindorf K, Tjønneland A, Velikova G, Baskin ML, Chowdhury R, Hill L, Lewis SJ, Seidell J, Weijenberg MP, Krebs J, Cross AJ, Tsilidis KK, Chan DSM. Post-diagnosis adiposity and colorectal cancer prognosis: A Global Cancer Update Programme (CUP Global) systematic literature review and meta-analysis. Int J Cancer 2024; 155:400-425. [PMID: 38692659 DOI: 10.1002/ijc.34905] [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: 07/21/2023] [Revised: 12/15/2023] [Accepted: 01/17/2024] [Indexed: 05/03/2024]
Abstract
The adiposity influence on colorectal cancer prognosis remains poorly characterised. We performed a systematic review and meta-analysis on post-diagnosis adiposity measures (body mass index [BMI], waist circumference, waist-to-hip ratio, weight) or their changes and colorectal cancer outcomes. PubMed and Embase were searched through 28 February 2022. Random-effects meta-analyses were conducted when at least three studies had sufficient information. The quality of evidence was interpreted and graded by the Global Cancer Update Programme (CUP Global) independent Expert Committee on Cancer Survivorship and Expert Panel. We reviewed 124 observational studies (85 publications). Meta-analyses were possible for BMI and all-cause mortality, colorectal cancer-specific mortality, and cancer recurrence/disease-free survival. Non-linear meta-analysis indicated a reverse J-shaped association between BMI and colorectal cancer outcomes (nadir at BMI 28 kg/m2). The highest risk, relative to the nadir, was observed at both ends of the BMI distribution (18 and 38 kg/m2), namely 60% and 23% higher risk for all-cause mortality; 95% and 26% for colorectal cancer-specific mortality; and 37% and 24% for cancer recurrence/disease-free survival, respectively. The higher risk with low BMI was attenuated in secondary analyses of RCTs (compared to cohort studies), among studies with longer follow-up, and in women suggesting potential methodological limitations and/or altered physiological state. Descriptively synthesised studies on other adiposity-outcome associations of interest were limited in number and methodological quality. All the associations were graded as limited (likelihood of causality: no conclusion) due to potential methodological limitations (reverse causation, confounding, selection bias). Additional well-designed observational studies and interventional trials are needed to provide further clarification.
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Affiliation(s)
- Nerea Becerra-Tomás
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Georgios Markozannes
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Margarita Cariolou
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Katia Balducci
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Rita Vieira
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Sonia Kiss
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Nutrition, Oslo New University College, Oslo, Norway
- Department of Research, The Cancer Registry of Norway, Oslo, Norway
| | - Darren C Greenwood
- Leeds Institute for Data Analytics, Faculty of Medicine and Health, University of Leeds, Leeds, UK
| | - Laure Dossus
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Ellen Copson
- Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Andrew G Renehan
- The Christie NHS Foundation Trust, Manchester Cancer Research Centre, NIHR Manchester Biomedical Research Centre, Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Martijn Bours
- Department of Epidemiology, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - Wendy Demark-Wahnefried
- O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Melissa M Hudson
- Department of Oncology, St Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Anne M May
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | | | - Roderick Skinner
- Department of Paediatric and Adolescent Haematology/Oncology, Great North Children's Hospital and Translational and Clinical Research Institute, and Centre for Cancer, Newcastle University, Newcastle upon Tyne, UK
| | - Karen Steindorf
- Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Diet, Cancer and Health, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Galina Velikova
- School of Medicine, Faculty of Medicine and Health, University of Leeds, Leeds, UK
| | | | - Rajiv Chowdhury
- Department of Global Health, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, Florida, USA
| | - Lynette Hill
- World Cancer Research Fund International, London, UK
| | - Sarah J Lewis
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jaap Seidell
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Matty P Weijenberg
- Department of Epidemiology, GROW School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands
| | - John Krebs
- Department of Biology, University of Oxford, Oxford, UK
| | - Amanda J Cross
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Doris S M Chan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
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VanderVeen BN, Cardaci TD, McDonald SJ, Madero SS, Unger CA, Bullard BM, Enos RT, Velázquez KT, Kubinak JL, Fan D, Murphy EA. Obesity reduced survival with 5-fluorouracil and did not protect against chemotherapy-induced cachexia or immune cell cytotoxicity in mice. Cancer Biol Ther 2022; 23:1-15. [PMID: 35968771 PMCID: PMC9377261 DOI: 10.1080/15384047.2022.2108306] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 06/28/2022] [Accepted: 07/24/2022] [Indexed: 01/12/2023] Open
Abstract
Fluorouracil/5-flourouracil (5FU) is a first-line chemotherapy drug for many cancer types; however, its associated toxicities contribute to poor quality of life and reduced dose intensities negatively impacting patient prognosis. While obesity remains a critical risk factor for most cancers, our understanding regarding how obesity may impact chemotherapy's toxicities is extremely limited. C56BL/6 mice were given high fat (Obese) or standard diets (Lean) for 4 months and then subjected to three cycles of 5FU (5d-40 mg/kg Lean Mass, 9d rest) or PBS vehicle control. Shockingly, only 60% of Obese survived 3 cycles compared to 100% of Lean, and Obese lost significantly more body weight. Dihydropyrimidine dehydrogenase (DPD), the enzyme responsible for 5FU catabolism, was reduced in obese livers. Total white blood cells, neutrophils, and lymphocytes were reduced in Obese 5FU compared to Lean 5FU and PBS controls. While adipocyte size was not affected by 5FU in Obese, skeletal muscle mass and myofibrillar cross section area were decreased following 5FU in Lean and Obese. Although adipose tissue inflammatory gene expression was not impacted by 5FU, distinct perturbations to skeletal muscle inflammatory gene expression and immune cell populations (CD45+ Immune cells, CD45+CD11b+CD68+ macrophages and CD45+CD11b+Ly6clo/int macrophage/monocytes) were observed in Obese only. Our evidence suggests that obesity induced liver pathologies and reduced DPD exacerbated 5FU toxicities. While obesity has been suggested to protect against cancer/chemotherapy-induced cachexia and other toxicities, our results demonstrate that obese mice are not protected, but rather show evidence of increased susceptibility to 5FU-induced cytotoxicity even when dosed for relative lean mass.
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Affiliation(s)
- Brandon N. VanderVeen
- Department of Pathology, Microbiology, and Immunology, University of South Carolina School of Medicine – Columbia, Columbia, SC, USA
| | - Thomas D. Cardaci
- Department of Pathology, Microbiology, and Immunology, University of South Carolina School of Medicine – Columbia, Columbia, SC, USA
| | - Sierra J. McDonald
- Department of Pathology, Microbiology, and Immunology, University of South Carolina School of Medicine – Columbia, Columbia, SC, USA
| | - Sarah S. Madero
- Department of Pathology, Microbiology, and Immunology, University of South Carolina School of Medicine – Columbia, Columbia, SC, USA
| | - Christian A. Unger
- Department of Pathology, Microbiology, and Immunology, University of South Carolina School of Medicine – Columbia, Columbia, SC, USA
| | - Brooke M. Bullard
- Department of Pathology, Microbiology, and Immunology, University of South Carolina School of Medicine – Columbia, Columbia, SC, USA
| | - Reilly T. Enos
- Department of Pathology, Microbiology, and Immunology, University of South Carolina School of Medicine – Columbia, Columbia, SC, USA
| | - Kandy T. Velázquez
- Department of Pathology, Microbiology, and Immunology, University of South Carolina School of Medicine – Columbia, Columbia, SC, USA
| | - Jason L. Kubinak
- Department of Pathology, Microbiology, and Immunology, University of South Carolina School of Medicine – Columbia, Columbia, SC, USA
| | - Daping Fan
- Department of Cell Biology and Anatomy, University of South Carolina School of Medicine – Columbia, Columbia, SC, USA
| | - E. Angela Murphy
- Department of Pathology, Microbiology, and Immunology, University of South Carolina School of Medicine – Columbia, Columbia, SC, USA
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Xiong MF, Wu LF, Chen YH, Cao RR, Deng FY, Lei SF. Body Surface Area (BSA) is a Better Osteoporosis Associated Anthropometric Parameter Than Other Anthropometric Parameters in Elderly Population. J Clin Densitom 2022; 25:630-636. [PMID: 35346589 DOI: 10.1016/j.jocd.2022.02.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 01/21/2022] [Accepted: 02/21/2022] [Indexed: 01/05/2023]
Abstract
Body surface area (BSA) is widely used for adjusting drug dose, while few studies have yet systematically evaluated its association with osteoporosis and compared its advantage with other anthropometric parameters in osteoporotic risk prediction. A total of 10,021 Chinese individuals aged over 65 years were enrolled in our study. Bone mineral density (BMD) was measured, and demographic information was also collected. Pearson correlation analysis, receiver operating characteristic (ROC) curves and predictive analysis were performed to assess the clinical practice of BSA for osteoporosis. BSA had the strongest correlation with BMD (0.544, p < 0.001) compared with conventional anthropometric indices. Besides, BSA had the highest power in osteoporosis prediction, with an area under the curve (AUC) reaching 0.81. After incorporating BSA into the osteoporosis risk prediction model, the AUC improved from 0.82 to 0.83 (p < 0.01). We found BSA provided additional diagnostic value beyond conventional anthropometric information with continuous and category NRIs were 30.40% (p < 0.01) and 3.29% (p < 0.01), respectively, and the IDI was 1.85% (p < 0.01). BSA was positively associated with osteoporosis and showed superior discriminative ability for osteoporosis risk prediction compared with other anthropometric parameters in the Chinese elderly population.
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Affiliation(s)
- Meng-Fei Xiong
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, P. R. China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, Jiangsu, P. R. China
| | - Long-Fei Wu
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, P. R. China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, Jiangsu, P. R. China
| | - Yong-Hao Chen
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, P. R. China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, Jiangsu, P. R. China
| | - Rong-Rong Cao
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, P. R. China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, Jiangsu, P. R. China
| | - Fei-Yan Deng
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, P. R. China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, Jiangsu, P. R. China
| | - Shu-Feng Lei
- Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, P. R. China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, Jiangsu, P. R. China.
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Simillis C, Taylor B, Ahmad A, Lal N, Afxentiou T, Powar MP, Smyth EC, Fearnhead NS, Wheeler J, Davies RJ. A systematic review and meta-analysis assessing the impact of body mass index on long-term survival outcomes after surgery for colorectal cancer. Eur J Cancer 2022; 172:237-251. [DOI: 10.1016/j.ejca.2022.05.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 05/02/2022] [Accepted: 05/15/2022] [Indexed: 01/27/2023]
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Ionita Radu F, Sirbu CA, Docu Axelerad A, Stefan I. Gut microbiota and obesity. ROMANIAN JOURNAL OF MILITARY MEDICINE 2022. [DOI: 10.55453/rjmm.2022.125.3.16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Worldwide, adults and childhood obesity are increasing alarmingly, being a major health problem. Obesity is correlated with an increased incidence of various systemic diseases including cancer, heart diseases, and diabetes mellitus type 2. Risk factors for obesity are dysbiosis, genetic, socioeconomic, behavioural and environmental. The gut microbiota has beneficial effects on human health, like host immune system stimulation, being influenced by pH, or nutrient intake. Studies performed on humans and animal models reported differences regarding microbiota at lean and obese individuals. The consumption of probiotics and prebiotics may balance the microbiota with positive effects in obesity. The main aim of this review is to reveal the interaction between dysbiosis and obesity
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Lee S, Lee DH, Lee JH, Shin SJ, Lee HS, Park EJ, Baik SH, Lee KY, Kang J. Association of Body Mass Index with Survival in Asian Patients with Colorectal Cancer. Cancer Res Treat 2021; 54:860-872. [PMID: 34665954 PMCID: PMC9296949 DOI: 10.4143/crt.2021.656] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 10/14/2021] [Indexed: 11/30/2022] Open
Abstract
Purpose The clinical significance of body mass index (BMI) on long-term outcomes has not been extensively investigated in Asian patients with colorectal cancer (CRC). This study aims to describe the association between BMI and survival, plus providing BMI cutoff value for predicting prognosis in CRC patients. Materials and Methods A total of 1,182 patients who had undergone surgery for stage I–III CRC from June 2004 to February 2014 were included. BMI was categorized into four groups based on the recommendation for Asian ethnicity. The optimal BMI cutoff value was determined to maximize overall survival (OS) difference. Results In multivariable analysis, underweight BMI was significantly associated with poor OS (hazard ratio [HR], 2.38; 95% confidence interval [CI], 1.55 to 3.71; p < 0.001) and obese BMI was associated with better OS (HR, 0.72; 95% CI, 0.53 to 0.97; p=0.036) compared with the normal BMI. Overweight and obese BMI were associated with better recurrence-free survival (HR, 0.64; 95% CI, 0.42 to 0.99; p=0.046 and HR, 0.58; 95% CI, 0.38 to 0.89; p=0.014, respectively) compared with the normal BMI group. BMI cutoff value was 20.44 kg/m2. Adding the BMI cutoff value to cancer staging could increase discriminatory performance in terms of integrated area under the curve and Harrell’s concordance index. Conclusion Compared to normal BMI, underweight BMI was associated with poor survival whereas obese BMI was associated with better survival. BMI cutoff value of 20.44 kg/m2 is a useful discriminator in Asian patients with CRC.
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Affiliation(s)
- Sangwon Lee
- Yonsei University College of Medicine, Seoul, Korea
| | - Dong Hee Lee
- Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jae-Hoon Lee
- Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Su-Jin Shin
- Department of Pathology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Hye Sun Lee
- Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Korea
| | - Eun Jung Park
- Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Seung Hyuk Baik
- Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Kang Young Lee
- Department of Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jeonghyun Kang
- Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
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