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Bradshaw PT, Olsson LT, Sanchez A, Knezevic A, Akin O, Scott JM, Hakimi AA, Russo P, Caan BJ, Mourtzakis M, Furberg H. Radiodensities of Skeletal Muscle and Visceral Adipose Tissues Are Prognostic Factors in Clear-Cell Renal Cell Carcinoma. Cancer Epidemiol Biomarkers Prev 2024; 33:1375-1382. [PMID: 39073365 PMCID: PMC11446645 DOI: 10.1158/1055-9965.epi-24-0306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 05/30/2024] [Accepted: 07/22/2024] [Indexed: 07/30/2024] Open
Abstract
BACKGROUND Body composition may be related to survival in patients with clear-cell renal cell carcinoma (ccRCC), but studies have not simultaneously considered adipose and muscle tissue quantity and radiodensity. METHODS We analyzed data from 1,022 patients with ccRCC who underwent nephrectomy between 2000 and 2020 at Memorial Sloan Kettering Cancer Center. Skeletal muscle, visceral adipose tissue, and subcutaneous adipose tissue indexes (cm2/m2) and radiodensities [Hounsfield units (HU)] were assessed from noncontrast presurgical CT scans; clinical and demographic characteristics were available from the time of surgery. HRs and confidence intervals were estimated for overall (OS) and disease-free survival (DFS) through March 2023 in multivariable models that simultaneously accounted for all body composition measures. RESULTS The median age of the patients was 58 years, 69% were male, and 90% were White. There were 169 OS events over 8,392 person-years and 253 DFS events over 7,753 person-years of follow-up. In adjusted analyses, poor OS was associated with lower skeletal muscle radiodensity [-10 HU, HR (95% confidence interval), 1.37 (1.05-1.77)] and greater visceral adipose tissue radiodensity [+10 HU, 1.66 (1.06-2.59)], with similar findings for DFS. Poor survival was also associated with greater visceral adipose tissue index [+40 cm2/m2, OS: 1.32 (0.97, 1.79); DFS: 1.33 (1.04, 1.71)]. Associations with skeletal muscle radiodensity were limited to patients with stage 1/2 disease. CONCLUSIONS Radiodensities of skeletal muscle and visceral adipose tissues may be novel presurgical prognostic factors for patients with ccRCC. IMPACT The findings underscore the importance of evaluating the full range of body composition features simultaneously in multivariable models.
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Affiliation(s)
- Patrick T Bradshaw
- Division of Epidemiology, School of Public Health, University of California Berkeley, Berkeley, California
| | - Linnea T Olsson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | | | - Andrea Knezevic
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Oguz Akin
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jessica M Scott
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - A Ari Hakimi
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Paul Russo
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Bette J Caan
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | | | - Helena Furberg
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
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Wopat H, Harrod T, Brem RF, Kaltman R, Anderson K, Robien K. Body composition and chemotherapy toxicity among women treated for breast cancer: a systematic review. J Cancer Surviv 2024; 18:1356-1369. [PMID: 37093518 PMCID: PMC11299853 DOI: 10.1007/s11764-023-01380-7] [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: 01/31/2023] [Accepted: 04/08/2023] [Indexed: 04/25/2023]
Abstract
PURPOSE Toxicity is a significant problem among women receiving systemic chemotherapy for breast cancer, with up to 60% experiencing hematologic and 14% experiencing non-hematologic toxicity. Chemotherapy is dosed using body surface area, which does not account for heterogeneity in lean body mass (LBM) and adipose tissue (AT). This systematic review, registered with the PROSPERO International Prospective Register of Systematic Reviews (#CRD42021279874), evaluates associations between body composition and chemotherapy-related toxicity during breast cancer treatment. METHODS Scientific literature databases (PubMed, Scopus, CINAHL, and CENTRAL) were systematically searched in November 2021 for studies evaluating associations between body composition (assessed using computed tomography or dual x-ray absorptiometry) and chemotherapy-related toxicity among women receiving breast cancer treatment. Eligibility was not limited by year or country of publication. Article screening and data abstraction was conducted using the Covidence Systematic Review Management System. Predetermined criteria were used to evaluate rigor of participant recruitment, representativeness of the population, and use of validated measures of body composition and toxicity. RESULTS An inverse association between LBM and toxicity was reported in seven of the eight included studies, although definitions of low LBM differed across studies. Three studies evaluated the association between AT and chemotherapy toxicity with inconsistent findings. Heterogeneity in body composition measures/definitions and treatment regimens precluded the ability to perform meta-analyses. CONCLUSION Low LBM appears to be a risk factor for chemotherapy toxicity, but the role of AT is unclear. IMPLICATIONS FOR CANCER SURVIVORS Further research that accounts for guideline concordance in chemotherapy prescriptions and the use of supportive care medications is needed.
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Affiliation(s)
- Heather Wopat
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, 950 New Hampshire Avenue, NW, 2nd Floor, Washington, DC, 20052, USA
| | - Tom Harrod
- Himmelfarb Health Sciences Library, George Washington University, Washington, DC, USA
| | - Rachel F Brem
- Department of Radiology, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA
- GW Cancer Center, George Washington University, Washington, DC, USA
| | | | - Kendall Anderson
- GW Cancer Center, George Washington University, Washington, DC, USA
| | - Kim Robien
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, 950 New Hampshire Avenue, NW, 2nd Floor, Washington, DC, 20052, USA.
- GW Cancer Center, George Washington University, Washington, DC, USA.
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Zhang X, Bao S, Wang M, Xu Z, Yan F, Yang W. Stability and accuracy of fat quantification on photon-counting detector CT with various scan settings: A phantom study. Eur J Radiol 2024; 177:111545. [PMID: 38878499 DOI: 10.1016/j.ejrad.2024.111545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Revised: 05/30/2024] [Accepted: 06/02/2024] [Indexed: 07/24/2024]
Abstract
OBJECTIVE Fat deposition is an important marker of many metabolic diseases. As a noninvasive and convenient examination method, CT has been widely used for fat quantification. With the clinical application of photon-counting detector (PCD)-CT, we aimed to investigate the accuracy, stability, and dose level of PCD-CT using various scan settings for fat quantification. MATERIALS AND METHODS Eleven agar-based lipid-containing phantoms (vials with different fat fractions [FFs]; range: 0 %-100 %) were scanned using PCD-CT. Three scanning types (sequence scan, regular spiral scan with a pitch of 0.8, and high-pitch spiral scan with a pitch of 3.2), four tube voltages (90, 120, 140, and 100 kV with a tin filter), and three image quality (IQ) levels (IQ levels of 20, 40, and 80) were alternated, and each scan setting was used twice. For each scan, a 70-keV image was generated using the same reconstruction parameters. A regular spiral scan at 120 kV with IQ80 was used to transfer the CT numbers of all scans to the FF. Intraclass correlation coefficient (ICC) and Bland-Altman analysis were implemented for accuracy and agreement evaluation, and group differences were compared using analysis of variance. RESULTS Excellent agreement and accuracy of FF derived by PCD-CT with all scan settings was demonstrated by high ICCs (>0.9; range: 0.929-0.998, p < 0.017) and low bias (<5% range: -2.9 %-5%). The root mean square error (RMSE) between the PCD-CT-acquired FF and the reference standard ranged from 1.0 % to 5.0 %, among which the high-pitch scan at 120 kV with IQ20 accounted for the lowest RMSE (1.0 %). The spiral scan at 120 kV with IQ20 and IQ80 yielded the lowest bias (mean value: 1.19 % and 1.23 %, respectively). CONCLUSION Fat quantification using PCD-CT reconstructed at 70 keV was accurate and stable under various scan settings. PCD-CT has great potential for fat quantification using ultralow radiation doses.
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Affiliation(s)
- Xu Zhang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shouyu Bao
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mengzhen Wang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhihan Xu
- Siemens Healthineers CT Collaboration, Shanghai, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenjie Yang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Du Z, Xiao Y, Deng G, Song H, Xue Y, Song H. CD3+/CD4+ cells combined with myosteatosis predict the prognosis in patients who underwent gastric cancer surgery. J Cachexia Sarcopenia Muscle 2024; 15:1587-1600. [PMID: 38894548 PMCID: PMC11294046 DOI: 10.1002/jcsm.13517] [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: 11/28/2023] [Revised: 04/24/2024] [Accepted: 04/29/2024] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND This study aimed to investigate the predictive capacity of lymphocyte subpopulations, sarcopenia and myosteatosis for clinical outcomes in patients who underwent gastric cancer surgery. Additionally, the prognostic significance of CD3+/CD4+ cells in conjunction with myosteatosis was explored. METHODS A cohort of 190 patients with gastric cancer who underwent surgery and received computed tomography scans between July 2016 and December 2017 at our institution was examined. Complete clinical information and peripheral lymphocyte subpopulations were available for all patients. A comprehensive array of statistical methodologies was employed to scrutinize variances in both clinical and pathological characteristics among patients, with the aim of identifying autonomous prognostic determinants requisite for the development of a nomogram. Subsequent assessment of the predictive efficacy of the nomogram was conducted via calibration curve analysis. RESULTS The study comprised a cohort of 190 participants, encompassing 126 males (66.32%) and 64 females (33.68%), with a mean age of 58.47 (±11.37) years. Patients were stratified into three groups based on CD3+/CD4+ cells and myosteatosis, with 24 in Group 1, 87 in Group 2 and 79 in Group 3. Notably, patients in the third group exhibited significantly shorter progression-free survival (PFS) (hazard ratio [HR] = 0.208, P < 0.001) and overall survival (OS) (HR = 0.193, P < 0.001). The subset of peripheral blood lymphocytes exhibited elevated levels of CD3+/CD4+ cells (HR = 2.485, P < 0.001) and heightened CD4+/CD8+ ratios (HR = 1.705, P = 0.038), whereas diminished CD19+ cell counts (HR = 0.210, P = 0.032) correlated with improved OS in patients. The individuals presenting with sarcopenia (HR = 4.089, P = 0.023) and myosteatosis (HR = 2.857, P < 0.001) displayed reduced OS. The multivariate Cox regression analysis showed that pathological tumour-node-metastasis stage, CD19+ cells, sarcopenia and CD3+/CD4+ cell-myosteatosis were identified as independent prognostic factors for PFS and OS in patients. The constructed nomograms for PFS and OS yielded C-index values of 0.839 (95% confidence interval [CI]: 0.798-0.880) and 0.836 (95% CI: 0.792-0.879), respectively. The calibration analysis demonstrated that the nomograms accurately predicted the 3- and 5-year survival rates of PFS and OS in patients. CONCLUSIONS Lymphocyte subsets, including CD3+/CD4+ cells, CD4+/CD8+ ratio and CD19+ cells, are indicative of clinical prognosis in gastric cancer surgery patients. Body composition parameters, such as sarcopenia and myosteatosis, are also associated with the patient's prognosis. The combination of CD3+/CD4+ cells with myosteatosis demonstrates enhanced prognostic value, enabling the identification of patients at high risk of post-operative metastasis and recurrence.
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Affiliation(s)
- Zhongze Du
- Department of Gastrointestinal SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinHeilongjiangChina
| | - Youming Xiao
- Department of Pediatric SurgeryYaAn People's HospitalYa'anSichuanChina
| | - Guiming Deng
- Department of Gastrointestinal SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinHeilongjiangChina
| | - Haibin Song
- Department of Gastrointestinal SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinHeilongjiangChina
| | - Yingwei Xue
- Department of Gastrointestinal SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinHeilongjiangChina
| | - Hongjiang Song
- Department of Gastrointestinal SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinHeilongjiangChina
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Ko HS, Attenberger U. Medical imaging in cancer cachexia. RADIOLOGIE (HEIDELBERG, GERMANY) 2024:10.1007/s00117-024-01346-5. [PMID: 38995346 DOI: 10.1007/s00117-024-01346-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/18/2024] [Indexed: 07/13/2024]
Abstract
Cancer cachexia, often referred to as "wasting syndrome," is characterized by fatigue, weakness, and involuntary weight loss. This syndrome is concomitant with progressive skeletal muscle atrophy with or without adipose tissue loss and is frequently accompanied by systemic inflammation. Understanding the complexities of cancer cachexia is crucial for early detection and intervention, and it is also paramount for enhancing patient outcomes. Medical imaging, comprising diverse imaging modalities, plays a pivotal role in this context, facilitating the diagnosis and surveillance assessment of both the disease extent and the body composition changes that offer valuable information and insights into disease progression. This article provides a comprehensive discourse of the pathophysiological mechanisms and clinical manifestations of cancer cachexia as well as the role of medical imaging in this setting. Particular emphasis is placed on contemporary multidisciplinary and translational research efforts for the development of diagnostic and treatment tools, aiming to mitigate the devastating consequences of cancer cachexia.
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Affiliation(s)
- Hyun Soo Ko
- Department of Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
- The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.
| | - Ulrike Attenberger
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
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Kim JS, Song J, Choi S, Kim SM, Park YJ, Park SJ, Cho Y, Oh YH, Jeong S, Kim KH, Park SM. Association between body composition and subsequent cardiovascular diseases among 5-year breast cancer survivors. Nutr Metab Cardiovasc Dis 2024; 34:1787-1797. [PMID: 38658227 DOI: 10.1016/j.numecd.2024.03.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 02/13/2024] [Accepted: 03/12/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND AND AIMS Cardiovascular disease (CVD) remain one of the leading causes of mortality in breast cancer survivors. This study aimed to investigate the association between body composition and subsequent CVD in breast cancer survivors. METHODS AND RESULTS A retrospective cohort study of more than 70 thousand 5-year breast cancer survivors aged 40 years or older was conducted using data from the National Health Insurance Service of South Korea. Based on the percentage of predicted lean body mass (pLBMP), appendicular skeletal muscle mass (pASMP), and body fat mass (pBFMP), which were calculated using prediction equations with anthropometric data and health habits, groups were equally divided into quartiles. The risk of CVD was evaluated using multivariate Cox proportional hazards regression. Compared to those with the lowest pLBMP and pASMP, those with the highest pLBMP and pASMP had a 38% and 42% lower risk of CVD, respectively. In contrast, those with the highest pBFMP had a 57% higher risk of CVD compared to those with the lowest pBFMP. Each 1 % increase in pLBMP and pASMP was associated with a decreased risk of CVD [pLBMP, adjusted hazard ratio (aHR): 0.96, 95% CI 0.94-0.98, p < 0.05; pASMP, aHR: 0.91, 95% CI 0.87-0.95, p < 0.05] while each 1 % increase in pBFMP was associated with the increased risk of CVD (aHR: 1.05, 95% CI 1.03-1.07, p < 0.01). CONCLUSION In this cohort study, a high pLBMP, a high pASMP, and a low pBFMP were associated with a lower risk of CVD.
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Affiliation(s)
- Ji Soo Kim
- International Healthcare Center, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea
| | - Jihun Song
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea
| | - Seulggie Choi
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Sung Min Kim
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea
| | - Young Jun Park
- Medical Research Center, Genomic Medicine Institute, Seoul National University, Seoul, South Korea
| | - Sun Jae Park
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea
| | - Yoosun Cho
- Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Yun Hwan Oh
- Department of Family Medicine, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Gwangmyeong-si, South Korea
| | - Seogsong Jeong
- Department of Biomedical Informatics, Korea University College of Medicine, Seoul, South Korea
| | - Kyae Hyung Kim
- Department of Family Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Sang Min Park
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea; Department of Family Medicine, Seoul National University Hospital, Seoul, South Korea.
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7
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Brown JC. Measures of physical function clarify the prognostic blur of cancer survivorship. J Natl Cancer Inst 2024; 116:999-1001. [PMID: 38630585 PMCID: PMC11223869 DOI: 10.1093/jnci/djae076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 03/25/2024] [Indexed: 04/19/2024] Open
Affiliation(s)
- Justin C Brown
- Department of Cancer Energetics, Pennington Biomedical Research Center, Baton Rouge, LA, USA
- Department of Genetics, Louisiana State University Health Sciences Center, New Orleans School of Medicine, New Orleans, LA, USA
- Department of Interdisciplinary Oncology, Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, LA, USA
- Population Sciences & Disparities Program, Louisiana Cancer Research Center, New Orleans, LA, USA
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8
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Diallo TD, Blessing AIL, Ihorst G, Möller MD, Jungmann PM, Bamberg F, Herget G, Wäsch R, Engelhardt M, Neubauer J. Myosteatosis in multiple myeloma: a key determinant of survival beyond sarcopenia. Skeletal Radiol 2024:10.1007/s00256-024-04735-y. [PMID: 38940940 DOI: 10.1007/s00256-024-04735-y] [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: 01/14/2024] [Revised: 06/03/2024] [Accepted: 06/05/2024] [Indexed: 06/29/2024]
Abstract
OBJECTIVE Fatty infiltration of skeletal muscle (Myosteatosis) is associated with increased frailty, decreased muscle and mobility function, which seems fairly prevalent in multiple myeloma (MM) patients. This study aimed to determine the prognostic value of myosteatosis assessed by CT for progression-free survival (PFS) and overall survival (OS). MATERIALS AND METHODS This IRB-approved cohort study included patients with newly diagnosed MM who were treated at a single university hospital and received CT at baseline. Geriatric assessment was performed via International Myeloma Working Group frailty score and Revised Myeloma Comorbidity Index. Myosteatosis was determined through measurement of paravertebral muscle radiodensity. Statistical analyses included uni- and multivariable Cox proportional hazard models and the Kaplan-Meier-method. RESULTS A total of 226 newly diagnosed MM patients (median age: 65 years [range: 29-89], 63% males, mean BMI: 25 [14-42]) were analyzed. The prevalence of myosteatosis was 51%. Muscle radiodensity was significantly decreased in individuals with International Staging System stage III vs. I (p < 0.001), indicating higher fatty muscle infiltration in patients with advanced disease. Both PFS and OS were significantly decreased in patients with myosteatosis (PFS: median 32.0 months (95% CI 20.5.5-42.2) vs. 66.4 months without myosteatosis (95% CI 42.5-not reached), p < .001); OS: median 58.6 (95% CI 51.3-90.2) vs. not reached, p < .001). Myosteatosis remained an independent predictor of OS in multivariable analyses (HR: 1.98; 95%-CI: 1.20-3.27). CONCLUSION Myosteatosis seems fairly prevalent in patients with newly diagnosed MM and associated with impaired overall survival. Prospective clinical trials are required to better understand the role of myosteatosis in MM patients.
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Affiliation(s)
- Thierno D Diallo
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Straße 55, 79106, Freiburg, Germany.
| | - Ariane Irma Luise Blessing
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Straße 55, 79106, Freiburg, Germany
| | - Gabriele Ihorst
- Clinical Trials Unit, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Mandy Deborah Möller
- Department of Medicine I Hematology and Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Comprehensive Cancer Center Freiburg (CCCF), University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Pia M Jungmann
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Straße 55, 79106, Freiburg, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Straße 55, 79106, Freiburg, Germany
| | - Georg Herget
- Department of Orthopaedics and Trauma Surgery, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany
| | - Ralph Wäsch
- Department of Medicine I Hematology and Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Comprehensive Cancer Center Freiburg (CCCF), University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Monika Engelhardt
- Department of Medicine I Hematology and Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Comprehensive Cancer Center Freiburg (CCCF), University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jakob Neubauer
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Hugstetter Straße 55, 79106, Freiburg, Germany
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da Silva Nascimento ML, Alves Bennemann N, de Sousa IM, de Oliveira Bezerra MR, Villaça Chaves G, Moreira Lima Verde SM, Fernandes Maurício S, Barreto Campello Carvalheira J, Santos Mendes MC, Miranda AL, da Costa Pereira JP, Gonzalez MC, Prado CM, Fayh APT. Examining variations in body composition among patients with colorectal cancer according to site and disease stage. Sci Rep 2024; 14:10829. [PMID: 38734789 PMCID: PMC11088614 DOI: 10.1038/s41598-024-61790-0] [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: 01/10/2024] [Accepted: 05/09/2024] [Indexed: 05/13/2024] Open
Abstract
Patients with colorectal cancer (CRC) often exhibit changes in body composition (BC) which are associated with poorer clinical outcomes. Many studies group colon and rectal cancers together, irrespective of staging, potentially affecting assessment and treatment strategies. Our study aimed to compare BC in patients with CRC focusing on tumor location and metastasis presence. A total of 635 individuals were evaluated, with a mean age of 61.8 ± 12.4 years and 50.2% female. The majority had rectal cancer as the primary cancer site (51.0%), and 23.6% had metastatic disease. The first regression model showed tumor site and metastasis as independent factors influencing skeletal muscle (SM), skeletal muscle index (SMI), and visceral adipose tissue variability (all p values < 0.05). The second model, adjusted for BMI, indicated tumor site as the primary factor affecting SMI variations (adjusted R2 = 0.50 p < 0.001), with colon tumors inversely associated with SM (standardized β - 2.15(- 3.3; - 0.9) p < 0.001). A third model, considering all the confounders from the directed acyclic graphs, was constructed and the found association remained independent. Our findings highlight significant BC variations in patients with CRC, influenced by tumor location and metastases presence, underscoring the need for location-specific assessment in CRC management.
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Affiliation(s)
- Mayra Laryssa da Silva Nascimento
- PesqClin Lab, Onofre Lopes University Hospital, Brazilian Company of Hospital Services (EBSERH), Federal University of Rio Grande do Norte, Natal, RN, Brazil
| | - Nithaela Alves Bennemann
- PesqClin Lab, Onofre Lopes University Hospital, Brazilian Company of Hospital Services (EBSERH), Federal University of Rio Grande do Norte, Natal, RN, Brazil
| | - Iasmin Matias de Sousa
- Health Sciences Center, Federal University of Rio Grande do Norte, Avenida Senador Salgado Filho, No 3000, Natal, RN, 59078-970, Brazil
| | - Mara Rubia de Oliveira Bezerra
- Health Sciences Center, Federal University of Rio Grande do Norte, Avenida Senador Salgado Filho, No 3000, Natal, RN, 59078-970, Brazil
| | | | | | | | - José Barreto Campello Carvalheira
- Division of Oncology, Department of Anesthesiology, Oncology and Radiology, School of Medical Sciences, State University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Maria Carolina Santos Mendes
- Division of Oncology, Department of Anesthesiology, Oncology and Radiology, School of Medical Sciences, State University of Campinas (UNICAMP), Campinas, SP, Brazil
| | - Ana Lucia Miranda
- Health Sciences Center, Federal University of Rio Grande do Norte, Avenida Senador Salgado Filho, No 3000, Natal, RN, 59078-970, Brazil
- Liga Norteriograndense Contra o Câncer, Natal, Rio Grande do Norte, Brazil
| | | | | | - Carla M Prado
- Human Nutrition Research Unit, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
| | - Ana Paula Trussardi Fayh
- PesqClin Lab, Onofre Lopes University Hospital, Brazilian Company of Hospital Services (EBSERH), Federal University of Rio Grande do Norte, Natal, RN, Brazil.
- Health Sciences Center, Federal University of Rio Grande do Norte, Avenida Senador Salgado Filho, No 3000, Natal, RN, 59078-970, Brazil.
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10
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Schab M, Skoczen S. Nutritional status, body composition and diet quality in children with cancer. Front Oncol 2024; 14:1389657. [PMID: 38706604 PMCID: PMC11066172 DOI: 10.3389/fonc.2024.1389657] [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: 02/21/2024] [Accepted: 04/02/2024] [Indexed: 05/07/2024] Open
Abstract
During cancer treatment, nutritional status disorders such as malnutrition or obesity affect the tolerance of cancer treatment, quality of life, but also the pharmacokinetics of drugs. It is hypothesized that changes in fat and lean body mass can modify chemotherapy volume distribution, metabolism and clearance. In children with cancer, lean body mass decreases or remains low during treatment and fat mass increases. Body composition is influenced by the cancer itself, aggressive multimodal-therapies, changes in metabolism, unbalanced diet and reduced physical activity. Due to the side effects of treatment, including changes in the sense of taste and smell, nausea, vomiting, diarrhea, and stress, eating according to recommendation for macronutrients and micronutrients is difficult. Research indicates that throughout cancer treatment, the consumption of fruits, vegetables, and dairy products tends to be insufficient, whereas there is an elevated intake of sugar and unhealthy snacks. Children exhibit a preference for high-carbohydrate, salty, and strongly flavored products. This review revealed the importance of body composition and its changes during cancer treatment in children, as well as eating habits and diet quality.
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Affiliation(s)
- Magdalena Schab
- Doctoral School of Medical and Health Science, Jagiellonian University Medical College, Krakow, Poland
- Department of Pediatric Oncology and Hematology, Institute of Pediatrics, Faculty of Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - Szymon Skoczen
- Department of Pediatric Oncology and Hematology, Institute of Pediatrics, Faculty of Medicine, Jagiellonian University Medical College, Krakow, Poland
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11
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Palmas F, Mucarzel F, Ricart M, Lluch A, Zabalegui A, Melian J, Guerra R, Rodriguez A, Roson N, Ciudin A, Burgos R. Body composition assessment with ultrasound muscle measurement: optimization through the use of semi-automated tools in colorectal cancer. Front Nutr 2024; 11:1372816. [PMID: 38694226 PMCID: PMC11062347 DOI: 10.3389/fnut.2024.1372816] [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: 01/18/2024] [Accepted: 04/09/2024] [Indexed: 05/04/2024] Open
Abstract
Colorectal cancer (CRC) is a disease with a high prevalence and major impact on global health. Body composition (BC) data are of great importance in the assessment of nutritional status. Ultrasound (US) is an emerging, accessible and non-invasive technique that could be an alternative when it is not feasible to perform computed tomography (CT). The aim of this study is to evaluate the correlation between CT, as a reference technique, and US of the rectus femoris (RF) as a "proof of concept," in a cohort of patients with CRC and assess the optimisation of results obtained by US when performed by our new semi-automated tool. A single-centre cross-sectional study including 174 patients diagnosed with CRC and undergoing surgery was carried out at the Vall d'Hebron Hospital. We found a strong correlation between CT and US of the RF area (r = 0.67; p < 0.005). The latter, is able to discriminate patients with worse prognosis in terms of length of hospital stay and discharge destination (AUC-ROC = 0.64, p 0.015). These results improve when they are carried out with the automatic tool (area AUC-ROC = 0.73, p 0.023), especially when normalised by height and eliminating patients who associate overflow. According to our results, the US could be considered as a valuable alternative for the quantitative assessment of muscle mass when CT is not feasible. These measurements are improved when measuring software is applied, such as "Bat" software.
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Affiliation(s)
- Fiorella Palmas
- Endocrinology and Nutrition Department, Hospital Universitari Vall D’Hebron, Barcelona, Spain
- Centro de investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Fernanda Mucarzel
- Endocrinology and Nutrition Department, Hospital Universitari Vall D’Hebron, Barcelona, Spain
| | - Marta Ricart
- Endocrinology and Nutrition Department, Hospital Universitari Vall D’Hebron, Barcelona, Spain
| | - Amador Lluch
- Endocrinology and Nutrition Department, Hospital Universitari Vall D’Hebron, Barcelona, Spain
| | - Alba Zabalegui
- Endocrinology and Nutrition Department, Hospital Universitari Vall D’Hebron, Barcelona, Spain
| | - Jose Melian
- ARTIS Development, Las Palmasde Gran Canaria, Spain
| | - Raul Guerra
- ARTIS Development, Las Palmasde Gran Canaria, Spain
| | - Aitor Rodriguez
- Department of Radiology, Institut De Diagnòstic Per La Imatge (IDI), Hospital Universitari Vall d’Hebron, Barcelona, Spain
| | - Nuria Roson
- Department of Radiology, Institut De Diagnòstic Per La Imatge (IDI), Hospital Universitari Vall d’Hebron, Barcelona, Spain
| | - Andreea Ciudin
- Endocrinology and Nutrition Department, Hospital Universitari Vall D’Hebron, Barcelona, Spain
- Centro de investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Rosa Burgos
- Endocrinology and Nutrition Department, Hospital Universitari Vall D’Hebron, Barcelona, Spain
- Centro de investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
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12
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Rozynek M, Tabor Z, Kłęk S, Wojciechowski W. Body composition radiomic features as a predictor of survival in patients with non-small cellular lung carcinoma: A multicenter retrospective study. Nutrition 2024; 120:112336. [PMID: 38237479 DOI: 10.1016/j.nut.2023.112336] [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: 08/14/2023] [Revised: 12/14/2023] [Accepted: 12/20/2023] [Indexed: 02/24/2024]
Abstract
OBJECTIVES This study combined two novel approaches in oncology patient outcome predictions-body composition and radiomic features analysis. The aim of this study was to validate whether automatically extracted muscle and adipose tissue radiomic features could be used as a predictor of survival in patients with non-small cell lung cancer. METHODS The study included 178 patients with non-small cell lung cancer receiving concurrent platinum-based chemoradiotherapy. Abdominal imaging was conducted as a part of whole-body positron emission tomography/computed tomography performed before therapy. Methods used included automated assessment of the volume of interest using densely connected convolutional network classification model - DenseNet121, automated muscle and adipose tissue segmentation using U-net architecture implemented in nnUnet framework, and radiomic features extraction. Acquired body composition radiomic features and clinical data were used for overall and 1-y survival prediction using machine learning classification algorithms. RESULTS The volume of interest detection model achieved the following metric scores: 0.98 accuracy, 0.89 precision, 0.96 recall, and 0.92 F1 score. Automated segmentation achieved a median dice coefficient >0.99 in all segmented regions. We extracted 330 body composition radiomic features for every patient. For overall survival prediction using clinical and radiomic data, the best-performing feature selection and prediction method achieved areas under the curve-receiver operating characteristic (AUC-ROC) of 0.73 (P < 0.05); for 1-y survival prediction AUC-ROC was 0.74 (P < 0.05). CONCLUSION Automatically extracted muscle and adipose tissue radiomic features could be used as a predictor of survival in patients with non-small cell lung cancer.
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Affiliation(s)
- Miłosz Rozynek
- Department of Radiology, Jagiellonian University Medical College, Krakow, Poland
| | - Zbisław Tabor
- AGH University of Science and Technology, Krakow, Poland
| | - Stanisław Kłęk
- Surgical Oncology Clinic, Maria Skłodowska-Curie National Cancer Institute, Krakow, Poland
| | - Wadim Wojciechowski
- Department of Radiology, Jagiellonian University Medical College, Krakow, Poland.
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13
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Jung M, Diallo TD, Scheef T, Reisert M, Rau A, Russe MF, Bamberg F, Fichtner-Feigl S, Quante M, Weiss J. Association Between Body Composition and Survival in Patients With Gastroesophageal Adenocarcinoma: An Automated Deep Learning Approach. JCO Clin Cancer Inform 2024; 8:e2300231. [PMID: 38588476 PMCID: PMC11018167 DOI: 10.1200/cci.23.00231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 12/04/2023] [Accepted: 02/16/2024] [Indexed: 04/10/2024] Open
Abstract
PURPOSE Body composition (BC) may play a role in outcome prognostication in patients with gastroesophageal adenocarcinoma (GEAC). Artificial intelligence provides new possibilities to opportunistically quantify BC from computed tomography (CT) scans. We developed a deep learning (DL) model for fully automatic BC quantification on routine staging CTs and determined its prognostic role in a clinical cohort of patients with GEAC. MATERIALS AND METHODS We developed and tested a DL model to quantify BC measures defined as subcutaneous and visceral adipose tissue (VAT) and skeletal muscle on routine CT and investigated their prognostic value in a cohort of patients with GEAC using baseline, 3-6-month, and 6-12-month postoperative CTs. Primary outcome was all-cause mortality, and secondary outcome was disease-free survival (DFS). Cox regression assessed the association between (1) BC at baseline and mortality and (2) the decrease in BC between baseline and follow-up scans and mortality/DFS. RESULTS Model performance was high with Dice coefficients ≥0.94 ± 0.06. Among 299 patients with GEAC (age 63.0 ± 10.7 years; 19.4% female), 140 deaths (47%) occurred over a median follow-up of 31.3 months. At baseline, no BC measure was associated with DFS. Only a substantial decrease in VAT >70% after a 6- to 12-month follow-up was associated with mortality (hazard ratio [HR], 1.99 [95% CI, 1.18 to 3.34]; P = .009) and DFS (HR, 1.73 [95% CI, 1.01 to 2.95]; P = .045) independent of age, sex, BMI, Union for International Cancer Control stage, histologic grading, resection status, neoadjuvant therapy, and time between surgery and follow-up CT. CONCLUSION DL enables opportunistic estimation of BC from routine staging CT to quantify prognostic information. In patients with GEAC, only a substantial decrease of VAT 6-12 months postsurgery was an independent predictor for DFS beyond traditional risk factors, which may help to identify individuals at high risk who go otherwise unnoticed.
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Affiliation(s)
- Matthias Jung
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Thierno D. Diallo
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Tobias Scheef
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Marco Reisert
- Medical Physics, Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Department of Stereotactic and Functional Neurosurgery, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Alexander Rau
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Maximilan F. Russe
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Stefan Fichtner-Feigl
- Department of General and Visceral Surgery, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Michael Quante
- Department of Internal Medicine II, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Jakob Weiss
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
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14
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Gil-Andrés D, Cabañas-Alite L. A Narrative Review Comparing Nutritional Screening Tools in Outpatient Management of Cancer Patients. Nutrients 2024; 16:752. [PMID: 38474880 DOI: 10.3390/nu16050752] [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: 02/19/2024] [Revised: 02/29/2024] [Accepted: 03/04/2024] [Indexed: 03/14/2024] Open
Abstract
Malnutrition during cancer has a negative impact on prognosis and quality of life. Therefore, it is important to identify those patients at higher nutritional risk to prevent its development. There are nutritional screening tools, such as MUST and NRS-2002, that focus on the patient on admission to hospital. However, most patients will develop malnutrition in the outpatient or ambulatory setting. This study aims to determine which nutritional screening tool is most effective in assessing nutritional risk in the outpatient oncology patient, highlighting the parameters analysed by these tools. Seventeen articles were reviewed, with the most important variables being tumour location, tumour stage, age, and gender, as well as recent weight loss, dietary intake, and digestive disorders. The Nutriscore, NRS-2002, and MUST tools are considered suitable, but the choice varies depending on these parameters. MNA is suitable for elderly patients, while SNAQ was not considered reliable in this population. In conclusion, MUST, NRS-2002, and Nutriscore are suitable tools, but their choice depends on specific characteristics. There is currently no universal tool for nutritional risk assessment in outpatients.
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Affiliation(s)
- Delia Gil-Andrés
- Internal Medicine Department, Manises' Hospital, Av. De la Generalitat Valenciana, 50, 46940 Manises, Spain
| | - Luis Cabañas-Alite
- Faculty of Health Sciences, Miguel de Cervantes European University, C. del Padre Julio Chevalier, 2, 47012 Valladolid, Spain
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15
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Machado MAD, Moraes TF, Anjos BHL, Alencar NRG, Chang TMC, Santana BCRF, Menezes VO, Vieira LO, Brandão SCS, Salvino MA, Netto EM. Association between increased Subcutaneous Adipose Tissue Radiodensity and cancer mortality: Automated computation, comparison of cancer types, gender, and scanner bias. Appl Radiat Isot 2024; 205:111181. [PMID: 38244325 DOI: 10.1016/j.apradiso.2024.111181] [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: 03/25/2023] [Revised: 12/17/2023] [Accepted: 01/04/2024] [Indexed: 01/22/2024]
Abstract
PURPOSE Body composition analysis using computed tomography (CT) is proposed as a predictor of cancer mortality. An association between subcutaneous adipose tissue radiodensity (SATr) and cancer-specific mortality was established, while gender effects and equipment bias were estimated. METHODS 7,475 CT studies were selected from 17 cohorts containing CT images of untreated cancer patients who underwent follow-up for a period of 2.1-118.8 months. SATr measures were collected from published data (n = 6,718) or calculated according to CT images using a deep-learning network (n = 757). The association between SATr and mortality was ascertained for each cohort and gender using the p-value from either logistic regression or ROC analysis. The Kruskal-Wallis test was used to analyze differences between gender distributions, and automatic segmentation was evaluated using the Dice score and five-point Likert quality scale. Gender effect, scanner bias and changes in the Hounsfield unit (HU) to detect hazards were also estimated. RESULTS Higher SATr was associated with mortality in eight cancer types (p < 0.05). Automatic segmentation produced a score of 0.949 while the quality scale measurement was good to excellent. The extent of gender effect was 5.2 HU while the scanner bias was 10.3 HU. The minimum proposed HU change to detect a patient at risk of death was between 5.6 and 8.3 HU. CONCLUSIONS CT imaging provides valuable assessments of body composition as part of the staging process for several cancer types, saving both time and cost. Gender specific scales and scanner bias adjustments should be carried out to successfully implement SATr measures in clinical practice.
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Affiliation(s)
- Marcos A D Machado
- Department of Radiology, Complexo Hospitalar Universitário Prof. Edgard Santos/ Ebserh, Universidade Federal da Bahia, Salvador, Bahia, Zip code: 40.110-040, Brazil; Nuclear Medicine Department, São Rafael Hospital/ Rededor, Salvador, Bahia, Zip code: 41.253-190, Brazil; Nuclearis Corporation, Recife, Pernambuco, Zip code: 50.030-200, Brazil.
| | - Thauan F Moraes
- Northeast Center for Strategic Technologies, Universidade Federal de Pernambuco, Recife, Pernambuco, Zip code: 50.740-545, Brazil
| | - Bruno H L Anjos
- Nuclearis Corporation, Recife, Pernambuco, Zip code: 50.030-200, Brazil
| | - Nadja R G Alencar
- Radiology and Nuclear Medicine Department, Hospital das Clínicas, Federal University of Pernambuco, Recife, Pernambuco, Zip code: 50.670-901, Brazil
| | - Tien-Man C Chang
- Nuclear Medicine Department, Instituto de Medicina Integrada Fernandes Figueira, Recife, Pernambuco, Zip code: 50.070-902, Brazil
| | - Bruno C R F Santana
- Nuclear Medicine Department, São Rafael Hospital/ Rededor, Salvador, Bahia, Zip code: 41.253-190, Brazil
| | - Vinicius O Menezes
- Nuclear Medicine Department, São Rafael Hospital/ Rededor, Salvador, Bahia, Zip code: 41.253-190, Brazil; Nuclearis Corporation, Recife, Pernambuco, Zip code: 50.030-200, Brazil; Radiology and Nuclear Medicine Department, Hospital das Clínicas, Federal University of Pernambuco/ Ebserh, Recife, Pernambuco, Zip code: 50.670-901, Brazil
| | - Lucas O Vieira
- Nuclear Medicine Department, São Rafael Hospital/ Rededor, Salvador, Bahia, Zip code: 41.253-190, Brazil
| | - Simone C S Brandão
- Radiology and Nuclear Medicine Department, Hospital das Clínicas, Federal University of Pernambuco, Recife, Pernambuco, Zip code: 50.670-901, Brazil
| | - Marco A Salvino
- Complexo Hospitalar Universitário Prof. Edgard Santos/ Ebserh, Universidade Federal da Bahia, Salvador, Bahia, Zip code: 40.110-040, Brazil; Hemathology Department, São Rafael Hospital, Salvador, Bahia, Zip code: 41.253-190, Brazil
| | - Eduardo M Netto
- Infectious Disease Research Laboratory, Complexo Hospitalar Universitário Prof. Edgard Santos/ Ebserh, Universidade Federal da Bahia, Salvador, Bahia, Zip code: 40.110-040, Brazil
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16
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Bradshaw PT. Body composition and cancer survival: a narrative review. Br J Cancer 2024; 130:176-183. [PMID: 37891197 PMCID: PMC10803330 DOI: 10.1038/s41416-023-02470-0] [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: 04/01/2023] [Revised: 10/07/2023] [Accepted: 10/16/2023] [Indexed: 10/29/2023] Open
Abstract
Interest in understanding the relationship between body composition and cancer survival has remained strong for decades, with a number of recent systematic reviews on the topic. However, the current state of evidence is based on heterogeneous exposure definitions based on anthropometry, yielding inconsistent findings with regard to this association. Recently the field has taken an exciting direction with the application of radiological assessments to measure specific aspects of body composition, yet reconciliation of findings from these modern assessment tools with those from the historic use of anthropometric data proves challenging. In this paper, I briefly review the biological basis for a link between body composition and cancer survival and summarize the epidemiological evidence with consideration to specific exposure measures. As enthusiasm is building around novel assessments, I conclude with a discussion of issues that researchers should be aware of when interpreting results from these new modalities.
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Affiliation(s)
- Patrick T Bradshaw
- School of Public Health, Division of Epidemiology, University of California Berkeley, Berkeley, CA, USA.
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17
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Delrieu L, Blanc D, Bouhamama A, Reyal F, Pilleul F, Racine V, Hamy AS, Crochet H, Marchal T, Heudel PE. Automatic deep learning method for third lumbar selection and body composition evaluation on CT scans of cancer patients. FRONTIERS IN NUCLEAR MEDICINE (LAUSANNE, SWITZERLAND) 2024; 3:1292676. [PMID: 39355015 PMCID: PMC11440831 DOI: 10.3389/fnume.2023.1292676] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 12/04/2023] [Indexed: 10/03/2024]
Abstract
Introduction The importance of body composition and sarcopenia is well-recognized in cancer patient outcomes and treatment tolerance, yet routine evaluations are rare due to their time-intensive nature. While CT scans provide accurate measurements, they depend on manual processes. We developed and validated a deep learning algorithm to automatically select and segment abdominal muscles [SM], visceral fat [VAT], and subcutaneous fat [SAT] on CT scans. Materials and Methods A total of 352 CT scans were collected from two cancer centers. The detection of the third lumbar vertebra and three different body tissues (SM, VAT, and SAT) were annotated manually. The 5-fold cross-validation method was used to develop the algorithm and validate its performance on the training cohort. The results were validated on an external, independent group of CT scans. Results The algorithm for automatic L3 slice selection had a mean absolute error of 4 mm for the internal validation dataset and 5.5 mm for the external validation dataset. The median DICE similarity coefficient for body composition was 0.94 for SM, 0.93 for VAT, and 0.86 for SAT in the internal validation dataset, whereas it was 0.93 for SM, 0.93 for VAT, and 0.85 for SAT in the external validation dataset. There were high correlation scores with sarcopenia metrics in both internal and external validation datasets. Conclusions Our deep learning algorithm facilitates routine research use and could be integrated into electronic patient records, enhancing care through better monitoring and the incorporation of targeted supportive measures like exercise and nutrition.
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Affiliation(s)
- Lidia Delrieu
- Residual Tumor & Response to Treatment Laboratory, RT2Lab, Translational Research Department, INSERM, U932 Immunity and Cancer, Institut Curie, Paris University, Paris, France
| | - Damien Blanc
- QuantaCell, Pessac, France
- IMAG, Université de Montpellier, Montpellier, France
| | | | - Fabien Reyal
- Residual Tumor & Response to Treatment Laboratory, RT2Lab, Translational Research Department, INSERM, U932 Immunity and Cancer, Institut Curie, Paris University, Paris, France
- Department of Surgical Oncology, Institut Curie, University Paris, Paris, France
| | - Frank Pilleul
- Department of Radiology, Centre Léon Bérard, Lyon, France
| | | | - Anne Sophie Hamy
- Residual Tumor & Response to Treatment Laboratory, RT2Lab, Translational Research Department, INSERM, U932 Immunity and Cancer, Institut Curie, Paris University, Paris, France
- Department of Medical Oncology, Institut Curie, University Paris, Paris, France
| | - Hugo Crochet
- Data and Artificial Intelligence Team, Centre Léon Bérard, Lyon, France
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18
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Yang U, Harikrishna A, Preda V, Chen J. Efficacy of multidisciplinary interventions in preventing metabolic syndrome and improving body composition in prostate cancer patients treated with androgen deprivation therapy: A systematic review and meta-analysis. Clin Nutr ESPEN 2023; 58:27-49. [PMID: 38057016 DOI: 10.1016/j.clnesp.2023.09.001] [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: 08/28/2023] [Accepted: 09/01/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Exercise is known to reduce adverse side effects of androgen-deprivation therapy (ADT) on quality of life, bone health and fatigue for prostate cancer (PCa) patients. We conducted a systematic review with meta-analysis to evaluate the effect of multidisciplinary interventions on body composition and metabolic syndrome (MetS) in ADT-treated PCa patients. METHODS A systematic review and meta-analysis were conducted based on searches of EMBASE, MEDLINE, CENTRAL and Scopus databases from inception to March 2023. Participants included ADT-treated PCa patients who received multidisciplinary interventions including exercise, diet, nutrition, pharmacotherapy, bariatric surgery, or psychological/behavioural therapy. Primary outcomes were changes in body composition and MetS, with prostate-specific antigen (PSA) as a secondary outcome. After meta-analysis, results were reported in mean difference, 95% confidence interval and p-value, with forest plots. Additionally, we conducted subgroup analyses to compare the effect of different interventions. RESULTS Thirty-three articles met the eligibility criteria out of 1443 articles and 28 studies were included in meta-analysis. Of 33 studies, 17 included exercise-only interventions and 10 included exercise + diet/nutrition interventions, but no studies included diet/nutrition-only interventions. All studies employed multidisciplinary approaches in developing or delivering the interventions. Most studies (85%) had low-moderate risk of bias, thus providing good evidence to this review. Overall, interventions had a positive effect on body composition measures; lean mass (LM):0.82 kg (95% CI:0.47,1.17;p < 0.00001), body fat mass (BFM):-0.68 kg (95% CI:-1.12,-0.24;p = 0.002), fat-free mass:0.75 kg (95% CI:0.14,1.37;p = 0.02) and body fat percentage (BFP):-0.99% (95% CI:-1.29,-0.68;p < 0.00001), as well as on MetS; waist circumference:-1.95 cm (95% CI:-3.10,-0.79;p = 0.0009), systolic blood pressure:-3.43 mmHg (95% CI:-6.36,-0.50;p = 0.02) and diastolic blood pressure:-2.48 mmHg (95% CI:-4.19,-0.76;p = 0.005). Subgroup-analyses showed that a combined approach including exercise + diet/nutrition was most effective in improving BFP, WC, SBP and DBP whereas exercise was more effective in improving LM and BFM. CONCLUSIONS In ADT-treated PCa patients, multidisciplinary interventions, especially those combining exercise and diet/nutrition, can improve body composition and metabolic health.
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Affiliation(s)
- Uhjin Yang
- Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia.
| | - Athulya Harikrishna
- Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Veronica Preda
- Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Juliana Chen
- Discipline of Nutrition and Dietetics, Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia; Charles Perkins Centre, The University of Sydney, Camperdown, NSW, Australia
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19
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McManus HD, Zhang D, Schwartz FR, Wu Y, Infield J, Ho E, Armstrong AJ, George DJ, Kruse D, Gupta RT, Harrison MR. Relationship Between Pretreatment Body Composition and Clinical Outcomes in Patients With Metastatic Renal Cell Carcinoma Receiving First-Line Ipilimumab Plus Nivolumab. Clin Genitourin Cancer 2023; 21:e429-e437.e2. [PMID: 37271698 DOI: 10.1016/j.clgc.2023.05.006] [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: 04/12/2023] [Revised: 05/03/2023] [Accepted: 05/07/2023] [Indexed: 06/06/2023]
Abstract
INTRODUCTION Biomarkers are needed to identify patients with metastatic renal cell carcinoma (mRCC) most likely to benefit from immune checkpoint inhibitors. We examined associations between radiographically assessed body composition (BC) variables and body mass index (BMI) with clinical outcomes for patients with mRCC receiving first-line ipilimumab + nivolumab (ipi/nivo). PATIENTS AND METHODS We retrospectively reviewed all patients with mRCC treated with first-line ipi/nivo at one institution before June 1, 2021 with an analyzable baseline computed tomography (CT) scan. BC variables (skeletal muscle index [SMI], subcutaneous adipose tissue index [SATI], and visceral adipose tissue index [VATI]) were measured using baseline CT scans. Relationships between BC variables and clinical outcomes were examined using Cox proportional hazard regression models. RESULTS Ninety-nine patients were analyzed (74% male, 64% overweight/obese, 75% low SMI). Controlling for age, IMDC risk, and sex (for BMI analyses), high vs. low SMI (HR=2.433, CI: 1.397-4.238, P=.0017), high vs. low SATI (HR=1.641, CI: 1.023-2.632, P=.0398), and obese BMI (≥ 30 kg/m2) vs. normal/overweight BMI (<30 kg/m2) (HR=1.859, CI: 1.156-2.989, P=.0105) were significantly associated with progression-free survival (PFS). Median overall survival (OS) for low SMI patients was higher (42.74 months, CI: 26.84, NR) than median OS for high SMI patients (27.01 months, CI: 15.28, NR) (adjusted HR=1.728, CI: 0.909-3.285, P=.0952). No BC variables were significantly associated with OS or objective response rate. CONCLUSIONS Low SMI and low SATI were associated with significantly better PFS for patients with mRCC receiving first-line ipi/nivo. Radiographic BC variables may be useful prognostic biomarkers in this setting.
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Affiliation(s)
- Hannah D McManus
- Department of Medicine, Duke University Medical Center, Durham, NC.
| | - Dylan Zhang
- Department of Radiology, Duke University Medical Center, Durham, NC
| | - Fides R Schwartz
- Department of Radiology, Duke University Medical Center, Durham, NC
| | - Yuan Wu
- Department of Biostatics and Bioinformatics, Duke University, Durham, NC
| | - Jordan Infield
- Department of Medicine, Duke University Medical Center, Durham, NC
| | - Ethan Ho
- Department of Biomedical Engineering, Duke University, Durham, NC
| | - Andrew J Armstrong
- Department of Medicine, Duke University Medical Center, Durham, NC; Duke Cancer Institute Center for Prostate and Urologic Cancers, Durham, NC; Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC
| | - Daniel J George
- Department of Medicine, Duke University Medical Center, Durham, NC; Duke Cancer Institute Center for Prostate and Urologic Cancers, Durham, NC; Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC
| | - Danielle Kruse
- Department of Radiology, Duke University Medical Center, Durham, NC
| | - Rajan T Gupta
- Department of Radiology, Duke University Medical Center, Durham, NC; Department of Surgery, Division of Urology, Duke Cancer Institute, Durham, NC; Duke Cancer Institute Center for Prostate and Urologic Cancers, Durham, NC
| | - Michael R Harrison
- Department of Medicine, Duke University Medical Center, Durham, NC; Duke Cancer Institute Center for Prostate and Urologic Cancers, Durham, NC; Department of Medicine, Division of Medical Oncology, Duke University Medical Center, Durham, NC
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20
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Sousa IM, Silva FM, das Virgens IPA, Costa EC, Fayh APT. Independent and joint association of sarcopenia and frailty with mortality in older patients with gastrointestinal cancer: a cohort study with prospective data collection. Support Care Cancer 2023; 31:728. [PMID: 38015271 DOI: 10.1007/s00520-023-08173-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 11/07/2023] [Indexed: 11/29/2023]
Abstract
PURPOSE Sarcopenia and frailty are associated with mortality in older patients with gastrointestinal cancer. However, it is unclear if there is an additional risk when both are present. This study aimed to investigate the independent and overlapping of sarcopenia and frailty with mortality in this population. METHODS A prospective cohort study including older patients (≥ 60 years old) with gastrointestinal cancer. Sarcopenia was defined by the EWGSP2 criteria: (i) low muscle strength (handgrip test), (ii) low muscle mass (skeletal muscle index), and/or low muscle quality (skeletal muscle radiodensity) by computed tomography. Frailty was defined according to Fried phenotype (at least three of the five components): (i) low muscle strength (handgrip test), (ii) unintentional weight loss, (iii) self-reported exhaustion, (iv) low physical activity, and (v) low gait speed. Cox proportional hazards model was used to assess overall survival rates and risk of mortality. RESULTS We evaluated 179 patients with gastrointestinal cancer [68.0 (61.0-75.0) years old; 45% women]. The prevalence of sarcopenia, frailty, and sarcopenia-frailty was 32.9% (n = 59), 59.2% (n = 106), and 24.6% (n = 44), respectively. The incidence of mortality was 27.9% (n = 50) over a 23-month (IQR, 10, 28) period. There was an association of sarcopenia (HR = 1.78, 95% CI 1.03-3.06) with mortality, but no association was found of frailty and the outcome. Sarcopenia-frailty was associated with the highest risk of mortality (HR = 2.23, 95% CI 1.27-3.92). CONCLUSION Sarcopenic-frail older patients with gastrointestinal cancer have a higher risk of mortality than those with sarcopenia or frailty alone, which reinforces the importance of assessing both conditions in oncology clinical care.
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Affiliation(s)
- Iasmin Matias Sousa
- Graduate Program in Nutrition, Health Sciences Centre, Federal University of Rio Grande Do Norte, Natal, RN, Brazil
- Graduate Program in Health Sciences, Health Sciences Centre, Federal University of Rio Grande Do Norte, Natal, RN, Brazil
| | - Flávia Moraes Silva
- Nutrition Science Graduate Program of Federal University of Health Science of Porto Alegre, Porto Alegre, Rio Grande Do Sul, Brazil
- Department of Nutrition, Nutrition Science Graduate Program, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Rio Grande Do Sul, Brazil
| | - Isabel Pinto Amorim das Virgens
- Graduate Program in Health Sciences, Health Sciences Centre, Federal University of Rio Grande Do Norte, Natal, RN, Brazil
- Center for Translational Medicine, Semmelweis University, Budapest, Hungary
| | - Eduardo Caldas Costa
- ExCE Research Group, Department of Physical Education, Federal University of Rio Grande Do Norte, Natal, RN, Brazil
| | - Ana Paula Trussardi Fayh
- Graduate Program in Nutrition, Health Sciences Centre, Federal University of Rio Grande Do Norte, Natal, RN, Brazil.
- Graduate Program in Health Sciences, Health Sciences Centre, Federal University of Rio Grande Do Norte, Natal, RN, Brazil.
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21
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Rozynek M, Gut D, Kucybała I, Strzałkowska-Kominiak E, Tabor Z, Urbanik A, Kłęk S, Wojciechowski W. Fully automated 3D body composition analysis and its association with overall survival in head and neck squamous cell carcinoma patients. Front Oncol 2023; 13:1176425. [PMID: 37927466 PMCID: PMC10621032 DOI: 10.3389/fonc.2023.1176425] [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: 02/28/2023] [Accepted: 10/03/2023] [Indexed: 11/07/2023] Open
Abstract
Objectives We developed a method for a fully automated deep-learning segmentation of tissues to investigate if 3D body composition measurements are significant for survival of Head and Neck Squamous Cell Carcinoma (HNSCC) patients. Methods 3D segmentation of tissues including spine, spine muscles, abdominal muscles, subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and internal organs within volumetric region limited by L1 and L5 levels was accomplished using deep convolutional segmentation architecture - U-net implemented in a nnUnet framework. It was trained on separate dataset of 560 single-channel CT slices and used for 3D segmentation of pre-radiotherapy (Pre-RT) and post-radiotherapy (Post-RT) whole body PET/CT or abdominal CT scans of 215 HNSCC patients. Percentages of tissues were used for overall survival analysis using Cox proportional hazard (PH) model. Results Our deep learning model successfully segmented all mentioned tissues with Dice's coefficient exceeding 0.95. The 3D measurements including difference between Pre-RT and post-RT abdomen and spine muscles percentage, difference between Pre-RT and post-RT VAT percentage and sum of Pre-RT abdomen and spine muscles percentage together with BMI and Cancer Site were selected and significant at the level of 5% for the overall survival. Aside from Cancer Site, the lowest hazard ratio (HR) value (HR, 0.7527; 95% CI, 0.6487-0.8735; p = 0.000183) was observed for the difference between Pre-RT and post-RT abdomen and spine muscles percentage. Conclusion Fully automated 3D quantitative measurements of body composition are significant for overall survival in Head and Neck Squamous Cell Carcinoma patients.
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Affiliation(s)
- Miłosz Rozynek
- Department of Radiology, Jagiellonian University Medical College, Krakow, Poland
| | - Daniel Gut
- Department of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology, Krakow, Poland
| | - Iwona Kucybała
- Department of Radiology, Jagiellonian University Medical College, Krakow, Poland
| | | | - Zbisław Tabor
- Department of Biocybernetics and Biomedical Engineering, AGH University of Science and Technology, Krakow, Poland
| | - Andrzej Urbanik
- Department of Radiology, Jagiellonian University Medical College, Krakow, Poland
| | - Stanisław Kłęk
- Surgical Oncology Clinic, Maria Skłodowska-Curie National Cancer Institute, Krakow, Poland
| | - Wadim Wojciechowski
- Department of Radiology, Jagiellonian University Medical College, Krakow, Poland
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22
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Chou YJ, Liou YT, Lai SR, Tien YW, Kuo HJ, Yang HY, Shun SC. Role of preoperative malnutrition and symptom severity in anorexia-cachexia-related quality of life in patients with operable pancreatic cancer. Eur J Oncol Nurs 2023; 66:102352. [PMID: 37494790 DOI: 10.1016/j.ejon.2023.102352] [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: 03/11/2023] [Revised: 05/17/2023] [Accepted: 05/21/2023] [Indexed: 07/28/2023]
Abstract
PURPOSE This study assessed the changes in malnutrition status, symptom severity, and anorexia-cachexia-related quality of life (QoL) before and after pancreatic surgery and identified significant factors associated with changes in anorexia-cachexia-related QoL in patients with operable pancreatic cancer. METHODS In total, 76 patients with pancreatic cancer who were scheduled to undergo surgery were recruited from a medical center in northern Taiwan. The Mini Nutritional Assessment, Symptom Severity Scale, and Functional Assessment of Anorexia-Cachexia Therapy scale were used to assess the patients' nutritional status, symptom severity, and anorexia-cachexia-related QoL, respectively. Bioelectrical impedance analysis was performed using X-Scan Plus II to assess body composition. A generalized estimating equation approach was used to identify significant factors associated with anorexia-cachexia-related QoL. RESULTS In total, 42.1% of the patients had malnutrition or were at risk of malnutrition before surgery. Preoperative malnutrition (β = -3.857, p = .001) and higher early satiety (β = -0.629, p = .005), insomnia (β = -0.452, p = .025), and pain (β = -0.779, p < .001) were associated with lower anorexia-cachexia-related QoL. CONCLUSION Clinicians should actively assess the nutritional status of patients with pancreatic cancer before surgery and provide symptom cluster management interventions to improve nutrition, insomnia, and pain, which is crucial for enhancing patients' anorexia-cachexia-related QoL.
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Affiliation(s)
- Yun-Jen Chou
- School of Nursing, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Division of Colon and Rectal Surgery, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan
| | - Yan-Ting Liou
- National Taiwan University Cancer Center, Taipei, Taiwan
| | - Sheng-Ru Lai
- Department of Dietetics, National Taiwan University Hospital, Taipei, Taiwan
| | - Yu-Wen Tien
- Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Hsuan-Ju Kuo
- School of Nursing, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Hui-Ying Yang
- School of Nursing, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Shiow-Ching Shun
- Institute of Clinical Nursing, College of Nursing, National Yang Ming Chiao Tung University, Taipei, Taiwan.
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23
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Alavi DT, Henriksen HB, Lauritzen PM, Zucknick M, Bøhn SK, Henriksen C, Paur I, Smeland S, Blomhoff R. Effect of a one-year personalized intensive dietary intervention on body composition in colorectal cancer patients: Results from a randomized controlled trial. Clin Nutr ESPEN 2023; 57:414-422. [PMID: 37739688 DOI: 10.1016/j.clnesp.2023.06.037] [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: 06/15/2023] [Accepted: 06/28/2023] [Indexed: 09/24/2023]
Abstract
BACKGROUND & AIMS Changes in body composition may affect colorectal cancer (CRC) patient's risk of cancer recurrence, secondary cancer, and other chronic diseases. The suggested interventions for changes in body composition such as low muscle mass or high fat mass, are diet and physical activity. Nevertheless, there is limited evidence of how dietary intervention alone can impact body composition. This study aimed to investigate the effect of a 6 and 12 month dietary intervention with a focus on healthy eating according to Norwegian food-based dietary guidelines on weight and body composition in patients with CRC stage I-III, post-surgery. METHODS This study included participants from the randomized controlled trial CRC-NORDIET study 2-9 months after surgery. The intervention group received an intensive dietary intervention, while the control group underwent similar measurements, but no dietary intervention. Body composition was measured with Lunar iDXA, and the results were analyzed using linear mixed models. RESULTS A total of 383 participants were included, 192 in the intervention group and 191 in the control group. After 6 months, the intervention group showed a 0.7 kg lower mean weight gain (p = 0.020) and 0.6 kg lower fat mass gain (p = 0.019) than the control group, but no difference at 12 months. Moreover, the fat mass increase was 0.5 percentage points lower at 6 months (p = 0.012), and 0.7 percentage points lower at 12 months (p = 0.011) in the intervention group compared to the controls. At 6 months, the intervention group had 63 g lower gain of visceral adipose tissue compared to the control group (p = 0.031). No differences were seen for fat-free mass or subcutaneous adipose tissue at any time point. The intervention group showed a lower increase in the ratio between fat mass and fat-free mass at both 6 months (p = 0.025) and 12 months (p = 0.021). CONCLUSION The dietary intervention reduced the increases in total weight and fat masses, without changing fat-free mass. Although the individual changes are small, the dietary intervention may have resulted in an overall more favourable body composition profile. These findings suggest that dietary intervention may be part of a treatment strategy for prevention of weight and fat mass gain in CRC survivors.
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Affiliation(s)
- Dena Treider Alavi
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
| | - Hege Berg Henriksen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
| | - Peter Mæhre Lauritzen
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway; Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway.
| | - Manuela Zucknick
- Oslo Centre for Biostatistics and Epidemiology, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
| | - Siv Kjølsrud Bøhn
- Department of Chemistry, Biotechnology and Food Sciences, Norwegian University of Life Sciences, Ås, Norway.
| | - Christine Henriksen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
| | - Ingvild Paur
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Norway, Norwegian Advisory Unit for Disease-related Undernutrition, Oslo University Hospital, Oslo, Norway; Department of Clinical Services, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway.
| | - Sigbjørn Smeland
- Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Rune Blomhoff
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway; Department of Clinical Service, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway.
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24
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Jang H, Kim R, Lee JT, Lee DH, Giovannucci EL, Oh H. Overall and abdominal obesity and risks of all-cause and cause-specific mortality in Korean adults: a pooled analysis of three population-based prospective cohorts. Int J Epidemiol 2023; 52:1060-1073. [PMID: 36622207 DOI: 10.1093/ije/dyac242] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 12/27/2022] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Studies found a J-shaped association between body mass index (BMI) and mortality. However, it is unclear whether the association is driven by biases, particularly confounding by fat-free mass. METHODS We conducted an individual-level pooled analysis of three cohorts of Korean adults (aged ≥ 40 years; n = 153 248). Mortality was followed up through December 2019. Anthropometric data were directly measured at baseline. Fat and fat-free mass were predicted using validated prediction models. Using Cox proportional hazards models, we estimated the associations of BMI and waist circumference (WC) with all-cause and cause-specific mortality. To account for biases, we excluded participants aged ≥ 70 years, deaths that occurred within 5 years of follow-up and ever smokers, and adjusted for fat-free mass index (FFMI). RESULTS During the follow-up of up to 18 years, 6061 deaths were identified. We observed J-shaped association of BMI (nadir at 22-26) and monotonically positive association of WC with all-cause, cardiovascular, and cancer mortality among Korean adults without a history of cancer or cardiovascular disease. In the BMI analysis, excluding ever smokers and adjusting for FFMI attenuated the excess mortality in underweight participants and transformed the J-shaped association into a monotonically positive shape, suggesting an increased mortality at BMI > 22.0. Excluding participants aged ≥ 70 years and deaths that occurred within 5 years of follow-up did not change the results. In the WC analysis, the monotonic positive associations did not change after the control. Similar results were observed among participants with a history of cancer or cardiovascular disease. CONCLUSIONS Our data suggest that both overall and abdominal body fat are associated with increased mortality in Korean adults.
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Affiliation(s)
- Hajin Jang
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea
| | - Rockli Kim
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea
- Department of Health Policy and Management, College of Health Sciences, Korea University, Seoul, Republic of Korea
| | - Jong-Tae Lee
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea
- Department of Health Policy and Management, College of Health Sciences, Korea University, Seoul, Republic of Korea
| | - Dong Hoon Lee
- Department of Nutrition, T.H. Chan Harvard School of Public Health, Boston, MA, USA
| | - Edward L Giovannucci
- Department of Nutrition, T.H. Chan Harvard School of Public Health, Boston, MA, USA
- Department of Epidemiology, T.H. Chan Harvard School of Public Health, Boston, MA, USA
| | - Hannah Oh
- Interdisciplinary Program in Precision Public Health, Department of Public Health Sciences, Graduate School of Korea University, Seoul, Republic of Korea
- Department of Health Policy and Management, College of Health Sciences, Korea University, Seoul, Republic of Korea
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25
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Purcell SA, Kok DE, Ketterl T, Garcia MB, Joffe L, Brown JC, Dieli-Conwright CM, Williams GR. Pharmacokinetics of cancer therapeutics and energy balance: the role of diet intake, energy expenditure, and body composition. J Natl Cancer Inst Monogr 2023; 2023:3-11. [PMID: 37139976 PMCID: PMC10157766 DOI: 10.1093/jncimonographs/lgad010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 02/06/2023] [Accepted: 02/17/2023] [Indexed: 05/05/2023] Open
Abstract
Energy balance accounts for an individual's energy intake, expenditure, and storage. Each aspect of energy balance has implications for the pharmacokinetics of cancer treatments and may impact an individual's drug exposure and subsequently its tolerance and efficacy. However, the integrated effects of diet, physical activity, and body composition on drug absorption, metabolism, distribution, and excretion are not yet fully understood. This review examines the existing literature on energy balance, specifically the role of dietary intake and nutritional status, physical activity and energy expenditure, and body composition on the pharmacokinetics of cancer therapeutics. As energy balance and pharmacokinetic factors can be influenced by age-related states of metabolism and comorbidities, this review also explores the age-related impact of body composition and physiologic changes on pharmacokinetics among pediatric and older adult populations with cancer.
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Affiliation(s)
- Sarah A Purcell
- Department of Medicine, Division of Endocrinology, University of British Columbia, Vancouver, Canada
- Irving K. Barber Faculty of Science, Department of Biology, University of British Columbia Okanagan, Kelowna, Canada
| | - Dieuwertje E Kok
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Tyler Ketterl
- Division of Pediatric Hematology/Oncology and Bone Marrow Transplant, Department of Pediatrics, University of Washington, Seattle, WA, USA
- Cancer and Blood Disorders Center, Seattle Children’s Hospital, Seattle, WA, USA
| | - Miriam B Garcia
- Division of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lenat Joffe
- Division of Pediatric Hematology, Oncology, and Stem Cell Transplantation, Cohen Children’s Medical Center, Donald and Barbara Zucker School of Medicine at Hofstra, Northwell Health, New Hyde Park, NY, USA
| | - Justin C Brown
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Christina M Dieli-Conwright
- Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Grant R Williams
- Institute for Cancer Outcomes and Survivorship, Division of Hematology/Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
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26
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Yan SY, Yang YW, Jiang XY, Hu S, Su YY, Yao H, Hu CH. Fat quantification: Imaging methods and clinical applications in cancer. Eur J Radiol 2023; 164:110851. [PMID: 37148843 DOI: 10.1016/j.ejrad.2023.110851] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 04/19/2023] [Accepted: 04/24/2023] [Indexed: 05/08/2023]
Abstract
Recently, the study of the relationship between lipid metabolism and cancer has evolved. The characteristics of intratumoral and peritumoral fat are distinct and changeable during cancer development. Subcutaneous and visceral adipose tissue are also associated with cancer prognosis. In non-invasive imaging, fat quantification parameters such as controlled attenuation parameter, fat volume fraction, and proton density fat fraction from different imaging methods complement conventional images by providing concrete fat information. Therefore, measuring the changes of fat content for further understanding of cancer characteristics has been applied in both research and clinical settings. In this review, the authors summarize imaging advances in fat quantification and highlight their clinical applications in cancer precaution, auxiliary diagnosis and classification, therapy response monitoring, and prognosis.
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Affiliation(s)
- Suo Yu Yan
- Department of Radiology, The First Affiliated Hospital to Soochow University, Suzhou 215006, PR China
| | - Yi Wen Yang
- Department of Radiology, The First Affiliated Hospital to Soochow University, Suzhou 215006, PR China
| | - Xin Yu Jiang
- Department of Radiology, The First Affiliated Hospital to Soochow University, Suzhou 215006, PR China
| | - Su Hu
- Department of Radiology, The First Affiliated Hospital to Soochow University, Suzhou 215006, PR China
| | - Yun Yan Su
- Department of Radiology, The First Affiliated Hospital to Soochow University, Suzhou 215006, PR China.
| | - Hui Yao
- Department of Radiology, The First Affiliated Hospital to Soochow University, Suzhou 215006, PR China; Department of General Surgery, The First Affiliated Hospital to Soochow University, Suzhou 215006, PR China.
| | - Chun Hong Hu
- Department of Radiology, The First Affiliated Hospital to Soochow University, Suzhou 215006, PR China.
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27
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Collado M, Castillo M, Muñoz de Mier GJ, de la Pinta C, Peña C. The Diet as a Modulator of Tumor Microenvironment in Colorectal Cancer Patients. Int J Mol Sci 2023; 24:ijms24087317. [PMID: 37108477 PMCID: PMC10139215 DOI: 10.3390/ijms24087317] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/12/2023] [Accepted: 04/13/2023] [Indexed: 04/29/2023] Open
Abstract
Colorectal cancer (CRC) is one of the most common cancers in Western countries and remains the second most common cause of cancer death worldwide. Many studies show the importance of diet and lifestyle in the incidence of CRC, as well as in CRC prevention. However, this review summarizes those studies that analyze the impact of nutrition on tumor microenvironment modulation and cancer progression. We review the available information about the effects of specific nutrients on cancer cell progression and on the different cells within the tumor microenvironment. Diet and nutritional status in the clinical management of colorectal cancer patients are also analyzed. Finally, future perspectives and challenges are discussed, with a view to improving CRC treatments by employing nutritional approaches. These promise great benefits and will eventually improve CRC patients' survival.
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Affiliation(s)
- Manuel Collado
- Medical Oncology Department, Ramón y Cajal University Hospital-IRYCIS, Alcalá University, 28034 Madrid, Spain
| | - Marién Castillo
- Facultad de Ciencias de la Salud, Universidad Alfonso X El Sabio (UAX), Avenida de la Universidad, 1, 28691 Villanueva de la Cañada, Spain
| | - Gemma Julia Muñoz de Mier
- Facultad de Ciencias de la Salud, Universidad Alfonso X El Sabio (UAX), Avenida de la Universidad, 1, 28691 Villanueva de la Cañada, Spain
| | - Carolina de la Pinta
- Radiation Oncology Department, Ramón y Cajal University Hospital, IRYCIS, Alcalá University, 28034 Madrid, Spain
| | - Cristina Peña
- Medical Oncology Department, Ramón y Cajal University Hospital-IRYCIS, Alcalá University, 28034 Madrid, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029 Madrid, Spain
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28
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Brzecka A, Martynowicz H, Daroszewski C, Majchrzak M, Ejma M, Misiuk-Hojło M, Somasundaram SG, Kirkland CE, Kosacka M. The Modulation of Adipokines, Adipomyokines, and Sleep Disorders on Carcinogenesis. J Clin Med 2023; 12:jcm12072655. [PMID: 37048738 PMCID: PMC10094938 DOI: 10.3390/jcm12072655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 03/24/2023] [Accepted: 03/31/2023] [Indexed: 04/05/2023] Open
Abstract
Obesity and sarcopenia, i.e., decreased skeletal muscle mass and function, are global health challenges. Moreover, people with obesity and sedentary lifestyles often have sleep disorders. Despite the potential associations, metabolic disturbances linking obesity, sarcopenia, and sleep disorders with cancer are neither well-defined nor understood fully. Abnormal levels of adipokines and adipomyokines originating from both adipose tissue and skeletal muscles are observed in some patients with obesity, sarcopenia and sleep disorders, as well as in cancer patients. This warrants investigation with respect to carcinogenesis. Adipokines and adipomyokines may exert either pro-carcinogenic or anti-carcinogenic effects. These factors, acting independently or together, may significantly modulate the incidence and progression of cancer. This review indicates that one of the possible pathways influencing the development of cancer may be the mutual relationship between obesity and/or sarcopenia, sleep quantity and quality, and adipokines/adipomyokines excretion. Taking into account the high proportion of persons with obesity and sedentary lifestyles, as well as the associations of these conditions with sleep disturbances, more attention should be paid to the individual and combined effects on cancer pathophysiology.
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Affiliation(s)
- Anna Brzecka
- Department of Pulmonology and Lung Oncology, Wroclaw Medical University, Grabiszyńska 105, 53-439 Wroclaw, Poland
| | - Helena Martynowicz
- Department of Internal and Occupational Diseases, Hypertension and Clinical Oncology, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland
| | - Cyryl Daroszewski
- Department of Pulmonology and Lung Oncology, Wroclaw Medical University, Grabiszyńska 105, 53-439 Wroclaw, Poland
| | - Maciej Majchrzak
- Department of Thoracic Surgery, Wroclaw Medical University, Ludwika Pasteura 1, Grabiszyńska105, 53-439 Wroclaw, Poland
| | - Maria Ejma
- Department of Neurology, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland
| | - Marta Misiuk-Hojło
- Department of Ophthalmology, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland
| | - Siva G. Somasundaram
- Department of Biological Sciences, Salem University, 223 West Main Street, Salem, WV 26426, USA
| | - Cecil E. Kirkland
- Department of Biological Sciences, Salem University, 223 West Main Street, Salem, WV 26426, USA
| | - Monika Kosacka
- Department of Pulmonology and Lung Oncology, Wroclaw Medical University, Grabiszyńska 105, 53-439 Wroclaw, Poland
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Ruehm SG. Sarcopenia at CT and Poor Outcomes after Liver Transplant. Radiology 2023; 306:e222551. [PMID: 36283118 DOI: 10.1148/radiol.222551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Stefan G Ruehm
- From the Department of Radiology, University of California Los Angeles, 10945 Le Conte Ave, Los Angeles, CA 90095
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30
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Shafaat O, Liu Y, Jackson KR, Motter JD, Boyarsky BJ, Latif MA, Yuan F, Khalil A, King EA, Zaheer A, Summers RM, Segev DL, McAdams-DeMarco M, Weiss CR. Association between Abdominal CT Measurements of Body Composition before Deceased Donor Liver Transplant with Posttransplant Outcomes. Radiology 2023; 306:e212403. [PMID: 36283115 PMCID: PMC9968774 DOI: 10.1148/radiol.212403] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 09/02/2022] [Accepted: 09/19/2022] [Indexed: 11/11/2022]
Abstract
Background Pre-liver transplant (LT) sarcopenia is associated with poor survival. Methods exist for measuring body composition with use of CT scans; however, it is unclear which components best predict post-LT outcomes. Purpose To quantify the association between abdominal CT-based body composition measurements and post-LT mortality in a large North American cohort. Materials and Methods This was a retrospective cohort of adult first-time deceased-donor LT recipients from 2009 to 2018 who underwent pre-LT abdominal CT scans, including at the L3 vertebral level, at Johns Hopkins Hospital. Measurements included sarcopenia (skeletal muscle index [SMI] <50 in men and <39 in women), sarcopenic obesity, myosteatosis (skeletal muscle CT attenuation <41 mean HU for body mass index [BMI] <25 and <33 mean HU for BMI ≥25), visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), and VAT/SAT ratio. Covariates in the adjusted models were selected with use of least absolute shrinkage and selection operator regression with lambda chosen by means of 10-fold cross-validation. Cox proportional hazards models were used to quantify associations with post-LT mortality. Model discrimination was quantified using the Harrell C-statistic. Results A total of 454 recipients (median age, 57 years [IQR, 50-62 years]; 294 men) were evaluated. In the adjusted model, pre-LT sarcopenia was associated with a higher hazard ratio (HR) of post-LT mortality (HR, 1.6 [95% CI: 1.1, 2.4]; C-statistic, 0.64; P = .02). SMI was significantly negatively associated with survival after adjustment for covariates. There was no evidence that myosteatosis was associated with mortality (HR, 1.3 [95% CI: 0.86, 2.1]; C-statistic, 0.64; P = .21). There was no evidence that BMI (HR, 1.2 [95% CI: 0.95, 1.4]), VAT (HR, 1.0 [95% CI: 0.98, 1.1]), SAT (HR, 1.0 [95% CI: 0.97, 1.0]), and VAT/SAT ratio (HR, 1.1 [95% CI: 0.90, 1.4]) were associated with mortality (P = .15-.77). Conclusions Sarcopenia, as assessed on routine pre-liver transplant (LT) abdominal CT scans, was the only factor significantly associated with post-LT mortality. © RSNA, 2022 See also the editorial by Ruehm in this issue.
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Affiliation(s)
| | | | - Kyle R. Jackson
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
| | - Jennifer D. Motter
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
| | - Brian J. Boyarsky
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
| | - Muhammad A. Latif
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
| | - Frank Yuan
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
| | - Adham Khalil
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
| | - Elizabeth A. King
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
| | - Atif Zaheer
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
| | - Ronald M. Summers
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
| | - Dorry L. Segev
- From the Division of Vascular and Interventional Radiology (O.S., M.A.L., F.Y., A.K., C.R.W.) and Division of Abdominal Radiology (A.Z.), The Russell H. Morgan Department of Radiology and Radiological Science, and the Department of Surgery (O.S., Y.L., K.R.J., J.D.M., B.J.B., E.A.K., D.L.S., M.M.D.), The Johns Hopkins University School of Medicine, 1800 Orleans St, Sheikh Zayed Tower, Ste 7203, Baltimore, MD 21287; Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (R.M.S.); and Department of Epidemiology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (D.L.S., M.M.D.)
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Khan A, Welman CJ, Abed A, O’Hanlon S, Redfern A, Azim S, Lopez P, Singh F, Khattak A. Association of Computed Tomography Measures of Muscle and Adipose Tissue and Progressive Changes throughout Treatment with Clinical Endpoints in Patients with Advanced Lung Cancer Treated with Immune Checkpoint Inhibitors. Cancers (Basel) 2023; 15:cancers15051382. [PMID: 36900175 PMCID: PMC10000131 DOI: 10.3390/cancers15051382] [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: 11/22/2022] [Revised: 02/08/2023] [Accepted: 02/09/2023] [Indexed: 02/24/2023] Open
Abstract
To investigate the association between skeletal muscle mass and adiposity measures with disease-free progression (DFS) and overall survival (OS) in patients with advanced lung cancer receiving immunotherapy, we retrospectively analysed 97 patients (age: 67.5 ± 10.2 years) with lung cancer who were treated with immunotherapy between March 2014 and June 2019. From computed tomography scans, we assessed the radiological measures of skeletal muscle mass, and intramuscular, subcutaneous and visceral adipose tissue at the third lumbar vertebra. Patients were divided into two groups based on specific or median values at baseline and changes throughout treatment. A total number of 96 patients (99.0%) had disease progression (median of 11.3 months) and died (median of 15.4 months) during follow-up. Increases of 10% in intramuscular adipose tissue were significantly associated with DFS (HR: 0.60, 95% CI: 0.38 to 0.95) and OS (HR: 0.60, 95% CI: 0.37 to 0.95), while increases of 10% in subcutaneous adipose tissue were associated with DFS (HR: 0.59, 95% CI: 0.36 to 0.95). These results indicate that, although muscle mass and visceral adipose tissue were not associated with DFS or OS, changes in intramuscular and subcutaneous adipose tissue can predict immunotherapy clinical outcomes in patients with advanced lung cancer.
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Affiliation(s)
- Azim Khan
- Northam Regional Hospital, Northam, WA 6401, Australia
- Correspondence: ; Tel.: +61-96901300
| | | | - Afaf Abed
- Peel Health Campus, Mandurah, WA 6210, Australia
| | - Susan O’Hanlon
- Department of Medical Imaging, Fiona Stanley Hospital, Perth, WA 6150, Australia
| | - Andrew Redfern
- Department of Medical Oncology, Fiona Stanley Hospital, Murdoch, WA 6150, Australia
- School of Medicine and Pharmacology, UWA, Perth, WA 6009, Australia
| | - Sara Azim
- Fiona Stanley Hospital, Murdoch, WA 6150, Australia
| | - Pedro Lopez
- Exercise Medicine Research Institute, Edith Cowan University, Joondalup, WA 6027, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia
- Pleural Medicine Unit, Institute for Respiratory Health, Perth, WA 6009, Australia
| | - Favil Singh
- Exercise Medicine Research Institute, Edith Cowan University, Joondalup, WA 6027, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia
| | - Adnan Khattak
- Fiona Stanley Hospital, Murdoch, WA 6150, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia
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32
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Pellegrini M, Besutti G, Ottone M, Canovi S, Bonelli E, Venturelli F, Farì R, Damato A, Bonelli C, Pinto C, Ligabue G, Pattacini P, Giorgi Rossi P, El Ghoch M. Abdominal Fat Characteristics and Mortality in Rectal Cancer: A Retrospective Study. Nutrients 2023; 15:nu15020374. [PMID: 36678245 PMCID: PMC9864407 DOI: 10.3390/nu15020374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/03/2023] [Accepted: 01/09/2023] [Indexed: 01/14/2023] Open
Abstract
The aim of this study was to evaluate the association of adipose tissue characteristics with survival in rectal cancer patients. All consecutive patients, diagnosed with stage II-IV rectal cancer between 2010-2016 using baseline unenhanced Computed Tomography (CT), were included. Baseline total, subcutaneous and visceral adipose tissue areas (TAT, SAT, VAT) and densities (TATd, SATd, VATd) at third lumbar vertebra (L3) were retrospectively measured. The association of these tissues with cancer-specific and progression-free survival (CCS, PFS) was assessed by using competitive risk models adjusted by age, sex and stage. Among the 274 included patients (median age 70 years, 41.2% females), the protective effect of increasing adipose tissue area on survival could be due to random fluctuations (e.g., sub-distribution hazard ratio-SHR for one cm2 increase in SAT = 0.997; 95%confidence interval-CI = 0.994-1.000; p = 0.057, for CSS), while increasing density was associated with poorer survival (e.g., SHR for one Hounsfield Unit-HU increase in SATd = 1.03, 95% CI = 1.01-1.05, p = 0.002, for CSS). In models considering each adipose tissue area and respective density, the association with CSS tended to disappear for areas, while it did not change for TATd and SATd. No association was found with PFS. In conclusion, adipose tissue density influenced survival in rectal cancer patients, raising awareness on a routinely measurable variable that requires more research efforts.
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Affiliation(s)
- Massimo Pellegrini
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41121 Modena, Italy
| | - Giulia Besutti
- Radiology Unit, Azienda USL–IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
- Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, 41121 Modena, Italy
- Correspondence: ; Tel.: +39-0522296369
| | - Marta Ottone
- Epidemiology Unit, Azienda USL–IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
| | - Simone Canovi
- Clinical Chemistry and Endocrinology Laboratory, Azienda USL–IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
| | - Efrem Bonelli
- Radiology Unit, Azienda USL–IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
- Clinical Chemistry and Endocrinology Laboratory, Azienda USL–IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
| | - Francesco Venturelli
- Epidemiology Unit, Azienda USL–IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
| | - Roberto Farì
- Radiology Unit, Azienda USL–IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
| | - Angela Damato
- Oncology Department, Azienda USL–IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
| | - Candida Bonelli
- Oncology Department, Azienda USL–IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
| | - Carmine Pinto
- Oncology Department, Azienda USL–IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
| | - Guido Ligabue
- Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, 41121 Modena, Italy
| | - Pierpaolo Pattacini
- Radiology Unit, Azienda USL–IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
| | - Paolo Giorgi Rossi
- Epidemiology Unit, Azienda USL–IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
| | - Marwan El Ghoch
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41121 Modena, Italy
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Beirut Arab University, Riad El Solh, Beirut 11072809, Lebanon
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Deng Y, Zhao L, Huang X, Zeng Y, Xiong Z, Zuo M. Contribution of skeletal muscle to cancer immunotherapy: A focus on muscle function, inflammation, and microbiota. Nutrition 2023; 105:111829. [PMID: 36265324 DOI: 10.1016/j.nut.2022.111829] [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: 02/25/2022] [Revised: 08/06/2022] [Accepted: 08/09/2022] [Indexed: 11/17/2022]
Abstract
Sarcopenia, characterized by degenerative and systemic loss of skeletal muscle mass and function, is a multifactorial syndrome commonly observed in individuals with cancer. Additionally, it represents a poor nutritional status and indicates possible presence of cancer cachexia. Recently, with the extensive application of cancer immunotherapy, the effects of sarcopenia/cachexia on cancer immunotherapy, have gained attention. The aim of this review was to summarize the influence of low muscle mass (sarcopenia/cachexia) on the response and immune-related adverse events to immunotherapy from the latest literature. It was revealed that low muscle mass (sarcopenia/cachexia) has detrimental effects on cancer immunotherapy in most cases, although there were results that were not consistent with this finding. This review also discussed potential causes of the paradox, such as different measure methods, research types, muscle indicators, time point, and cancer type. Mechanically, chronic inflammation, immune cells, and microbiota may be critically involved in regulating the efficacy of immunotherapy under the condition of low muscle mass (sarcopenia/cachexia). Thus, nutritional interventions will likely be promising ways for individuals with cancer to increase the efficacy of immunotherapy in the future, for low muscle mass (sarcopenia/cachexia) is an important prognostic factor for cancer immunotherapy.
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Affiliation(s)
- Yuanle Deng
- Department of Clinical Nutrition, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Sichuan, China
| | - Ling Zhao
- Department of Clinical Nutrition, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Sichuan, China
| | - Xuemei Huang
- Department of Clinical Nutrition, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Sichuan, China
| | - Yu Zeng
- Department of Clinical Nutrition, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Sichuan, China
| | - Zhujuan Xiong
- Department of Clinical Nutrition, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Sichuan, China.
| | - Ming Zuo
- Department of Clinical Nutrition, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Sichuan, China
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Gutiérrez-Santamaría B, Castañeda-Babarro A, Arietaleanizbeaskoa MS, Mendizabal-Gallastegui N, Grandes G, Coca A. Physiological and mental health changes in cancer patients during the COVID-19 state of emergency. SPORT SCIENCES FOR HEALTH 2023; 19:123-130. [PMID: 36211532 PMCID: PMC9525225 DOI: 10.1007/s11332-022-01008-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 09/15/2022] [Indexed: 11/24/2022]
Abstract
Backgrounds Due to the COVID-19 pandemic that we are currently facing, many governments across the world have declared a state of emergency and even confinements. This stressful situation, in addition to prolonged stays at home, may imply a radical change in lifestyle behavior and physical activity (PA). The aim of this study is to evaluate the physiological and psychological effects in cancer patients who changed their PA habits during the COVID-19 state of emergency in Spain. Methods Thirty-three participants were evaluated pre- and post-state of emergency. A series of questionnaires was used to assess cancer-specific quality of life. Results The most relevant results revealed significantly lower walking time (p < 0.001) and sitting time (p = 0.014). Upper and lower body strength also decreased significantly (p = 0.009 and 0.012, respectively) and oxygen consumption (VO2 peak) (p = 0.023). None of the parameters analysed showed significant differences for psychological aspects (QLQ-C-30 and SF-36) and body composition. Conclusion Lower physical activity leads to negative physiological adaptation, particularly affecting cardiovascular and strength levels. While it is important to maintain the general population's amount and intensity of exercise, this particularly vulnerable group's physical capacity is vital to their health and well-being.
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Affiliation(s)
- Borja Gutiérrez-Santamaría
- Department of Physical Activity and Sport Sciences, Faculty of Education and Sport, University of Deusto, 48007 Bizkaia, Spain
| | - Arkaitz Castañeda-Babarro
- Department of Physical Activity and Sport Sciences, Faculty of Education and Sport, University of Deusto, 48007 Bizkaia, Spain
| | - Maria Soledad Arietaleanizbeaskoa
- Primary Care Research Unit of Bizkaia, Biocruces Bizkaia Health Research Institute, Plaza de Cruces 12, 48903 Barakaldo, Biscay Spain
| | - Nere Mendizabal-Gallastegui
- Primary Care Research Unit of Bizkaia, Biocruces Bizkaia Health Research Institute, Plaza de Cruces 12, 48903 Barakaldo, Biscay Spain
| | - Gonzalo Grandes
- Primary Care Research Unit of Bizkaia, Biocruces Bizkaia Health Research Institute, Plaza de Cruces 12, 48903 Barakaldo, Biscay Spain
| | - Aitor Coca
- Department of Physical Activity and Sports Sciences, Faculty of Health Sciences, Euneiz University, La Biosfera Ibilbidea, 6, 01013 Vitoria-Gasteiz, Spain
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Meyer HJ, Wienke A, Pech M, Surov A. Computed Tomography-Defined Fat Composition as a Prognostic Marker in Gastric Adenocarcinoma: A Systematic Review and Meta-Analysis. Dig Dis 2023; 41:177-186. [PMID: 36228589 PMCID: PMC10015760 DOI: 10.1159/000527532] [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: 07/04/2022] [Accepted: 10/12/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Computed tomography (CT)-defined fat quantification has been an emergent field of research in oncology. It was shown that this parameter is predictive and prognostic of several clinically relevant factors in several tumor entities. OBJECTIVE Our aim was to establish the effect of visceral (VFA) and subcutaneous fat areas (SFA) on overall survival (OS), disease-free survival (DFS), and postoperative complications in gastric cancer patients based on a large patient sample. METHODS MEDLINE library, EMBASE, and SCOPUS databases were screened for the associations between VFA and SFA defined by CT images and OS, DFS, and postoperative complications in gastric cancer patients up to August 2022. The primary endpoint of the systematic review was the hazard ratio for the outcome parameters. High VFA was, in most studies, defined by the threshold value of 100 cm2. In total, 9 studies were suitable for the analysis and included in the present study. RESULTS The included studies comprised 3,713 patients. The identified frequency of visceral obesity was 44.9%. The pooled hazard ratio for the effect of high VFA on OS was 1.28 (95% CI 1.09-1.49, p = 0.002). For SFA, it was 1.87 (95% CI 1.45-2.42, p < 0.0001). The pooled hazard ratio for the influence of high VFA on DFS was 1.17 (95% CI 0.95-1.43, p = 0.14). The pooled odds ratio for the associations between VFA and postoperative complications was 1.36 (95% CI 1.09-1.69, p = 0.006). CONCLUSION CT-defined VFA and SFA influence OS in patients with gastric cancer. VFA also influences the occurrence of postoperative complications. Therefore, assessment of fat areas should be included in clinical routine in patients with gastric cancer.
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Affiliation(s)
- Hans-Jonas Meyer
- Department of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany
| | - Andreas Wienke
- Institute of Medical Epidemiology, Biostatistics, And Informatics, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Maciej Pech
- Department of Radiology and Nuclear Medicine, University of Magdeburg, Magdeburg, Germany
| | - Alexey Surov
- Department of Radiology and Nuclear Medicine, University of Magdeburg, Magdeburg, Germany
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Pu L, Gezer NS, Ashraf SF, Ocak I, Dresser DE, Dhupar R. Automated segmentation of five different body tissues on computed tomography using deep learning. Med Phys 2023; 50:178-191. [PMID: 36008356 PMCID: PMC11186697 DOI: 10.1002/mp.15932] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 07/27/2020] [Accepted: 08/04/2022] [Indexed: 01/25/2023] Open
Abstract
PURPOSE To develop and validate a computer tool for automatic and simultaneous segmentation of five body tissues depicted on computed tomography (CT) scans: visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), intermuscular adipose tissue (IMAT), skeletal muscle (SM), and bone. METHODS A cohort of 100 CT scans acquired on different subjects were collected from The Cancer Imaging Archive-50 whole-body positron emission tomography-CTs, 25 chest, and 25 abdominal. Five different body tissues (i.e., VAT, SAT, IMAT, SM, and bone) were manually annotated. A training-while-annotating strategy was used to improve the annotation efficiency. The 10-fold cross-validation method was used to develop and validate the performance of several convolutional neural networks (CNNs), including UNet, Recurrent Residual UNet (R2Unet), and UNet++. A grid-based three-dimensional patch sampling operation was used to train the CNN models. The CNN models were also trained and tested separately for each body tissue to see if they could achieve a better performance than segmenting them jointly. The paired sample t-test was used to statistically assess the performance differences among the involved CNN models RESULTS: When segmenting the five body tissues simultaneously, the Dice coefficients ranged from 0.826 to 0.840 for VAT, from 0.901 to 0.908 for SAT, from 0.574 to 0.611 for IMAT, from 0.874 to 0.889 for SM, and from 0.870 to 0.884 for bone, which were significantly higher than the Dice coefficients when segmenting the body tissues separately (p < 0.05), namely, from 0.744 to 0.819 for VAT, from 0.856 to 0.896 for SAT, from 0.433 to 0.590 for IMAT, from 0.838 to 0.871 for SM, and from 0.803 to 0.870 for bone. CONCLUSION There were no significant differences among the CNN models in segmenting body tissues, but jointly segmenting body tissues achieved a better performance than segmenting them separately.
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Affiliation(s)
- Lucy Pu
- Department, of Cardiothoracic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- North Allegheny Senior High School, Wexford, USA
| | - Naciye S Gezer
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | | | - Iclal Ocak
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Daniel E. Dresser
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Rajeev Dhupar
- Department, of Cardiothoracic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Surgical Services Division, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
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37
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GilHerrero L, Courneya KS, McNeely ML, Castellanos M, González Marquez AI, Pollan M, Casla-Barrio S. Effects of a Clinical Exercise Program on Health-Related Fitness and Quality of Life in Spanish Cancer Patients Receiving Adjuvant Therapy. Integr Cancer Ther 2022; 21:15347354221141715. [PMID: 36565156 PMCID: PMC9793061 DOI: 10.1177/15347354221141715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
OBJECTIVE To report the feasibility and effectiveness of a newly developed clinical exercise program for improving maximal cardiorespiratory fitness in Spanish cancer patients receiving adjuvant chemotherapy or radiation. We also examined the effectiveness of the exercise program for improving maximal muscular strength, body composition, fatigue, and quality of life, and explored if the effectiveness varied based on selected patient characteristics. DESIGN The study was a single group implementation feasibility study using a pre-posttest design. METHODS Participants performed a 12-week, twice-weekly, supervised, multi-component exercise program during adjuvant therapy. Paired t-tests were used to assess pre-post changes, and analyses of covariance were used to compare effectiveness based on selected patient characteristics. RESULTS We had 100 cancer patients referred to the clinical exercise program of which 85 (85%) initiated the exercise program and 76 (89%) completed the post-intervention fitness assessment. Exercise significantly improved VO2max by 4.8 mL/kg/minutes (P < .001, d = 0.74). Exercise also significantly improved chest strength (P < .001, d = 0.82), leg strength (P < .001, d = 1.27), lean body mass (P < .001, d = 0.11), skeletal muscle mass (P < .001; d = 0.09), fat mass (P < .001; d = 0.10), % body fat (P < .001; d = 0.17), quality of life (P = .0017; d = 0.41), and fatigue (P = .007; d = 0.46). Treatment modality, cancer type, and age affected some exercise responses, especially related to body composition changes. CONCLUSIONS A 12-week, supervised, multi-component exercise program was effective for improving health-related fitness and quality of life in Spanish cancer patients receiving adjuvant therapy. Our results show the benefits of incorporating clinical exercise programming into the supportive care of cancer patients receiving treatments. REGISTRATION The study protocol is registered at ClinicalTrials.gov (NCT05078216).
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Affiliation(s)
| | | | | | | | | | | | - Soraya Casla-Barrio
- Universidad Pontificia de Comillas,
Madrid, Spain,Soraya Casla-Barrio, Universidad Pontificia
de Comillas, Nursing Department, Av. San Juan de Dios, 1, Madrid 28350, Spain.
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38
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Oswalt C, Liu Y, Pang H, Le-Rademacher J, Wang X, Crawford J. Associations between body mass index, weight loss and overall survival in patients with advanced lung cancer. J Cachexia Sarcopenia Muscle 2022; 13:2650-2660. [PMID: 36268548 PMCID: PMC9745449 DOI: 10.1002/jcsm.13095] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 08/22/2022] [Accepted: 09/02/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Weight loss (WL) has been associated with shorter survival in patients with advanced cancer, while obesity has been associated with longer survival. Integrating body mass index (BMI) and WL provides a powerful prognostic tool but has not been well-studied in lung cancer patients, particularly in the setting of clinical trials. METHODS We analysed patient data (n = 10 128) from 63 National Cancer Institute sponsored advanced non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC) trials. Risk matrices were created using BMI and WL percentage, which were divided into 'grades' based on median survival. Relationships between survival, BMI and WL percentage were examined using Kaplan-Meier estimators and Cox proportional hazards (PH) models with restricted cubic splines. RESULTS For NSCLC, a twofold difference was noted in median survival between the BMI > 28 and WL ≤ 5% group (13.5 months) compared with the BMI < 20 and WL > 5% group (6.6 months). These associations were less pronounced in SCLC. Kaplan-Meier curves showed significant survival differences between grades for both NSCLC and SCLC (log-rank, P < 0.0001). In Stage IV NSCLC, Cox PH analyses with restricted cubic splines demonstrated significant associations between BMI and survival in both WL ≤ 5% (P = 0.0004) and >5% (P = 0.0129) groups, as well as in WL > 5% in Stage III (P = 0.0306). In SCLC, these relationships were more complex. CONCLUSIONS BMI and WL have strong associations with overall survival in patients with advanced lung cancer, with a greater impact seen in NSCLC compared with SCLC. The integration of a BMI/WL grading scale may provide additional prognostic information and should be included in the evaluation of therapeutic interventions in future clinical trials in advanced lung cancer.
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Affiliation(s)
- Cameron Oswalt
- Hematology & Oncology Fellow, Department of Medicine, Duke University Health System, Durham, NC, USA
| | - Yingzhou Liu
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA
| | - Herbert Pang
- Department of Biostatistics and Bioinformatics, Duke Cancer Institute, Durham, NC, USA
| | - Jennifer Le-Rademacher
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Xiaofei Wang
- Department of Biostatistics and Bioinformatics, Duke Cancer Institute, Durham, NC, USA
| | - Jeffrey Crawford
- Division of Medical Oncology, Department of Medicine, Duke Cancer Institute, Durham, NC, USA
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39
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Baguley BJ, Dalla Via J, Fraser SF, Daly RM, Kiss N. Effectiveness of combined nutrition and exercise interventions on body weight, lean mass, and fat mass in adults diagnosed with cancer: a systematic review and meta-analysis. Nutr Rev 2022; 81:625-646. [PMID: 36206176 DOI: 10.1093/nutrit/nuac079] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
CONTEXT Changes in body weight and composition (fat and lean mass) are prominent side effects of cancer treatment. Nutrition and exercise interventions are both key strategies to protect against these adverse effects, yet their impact when combined has not been comprehensively reviewed in adults with cancer. OBJECTIVE This systematic review and meta-analysis aims to assess the effects of combined nutrition and exercise interventions on body weight and composition in adults with cancer. DATA SOURCES Four databases were searched until January 2021. Combined nutrition and exercise randomized controlled trials that detailed the nutrition and exercise prescription and reported body weight and composition outcomes were eligible. DATA EXTRACTION Risk of bias was assessed through the Cochrane Collaboration tool. The number of participants, mean values, and standard deviations of the outcome variables were extracted. Mean differences (MDs) were pooled using random-effects models. Predetermined subgroup analyses included cancer type, intervention intent, exercise modality, and use of behavior change strategies. DATA ANALYSIS Twenty-three RCTs were included. Nutrition plus exercise interventions significantly reduced body weight (MD - 2.13 kg; 95%CI, - 3.07 to - 1.19), fat mass (MD - 2.06 kg; 95%CI, - 3.02 to - 1.09), and lean mass (MD - 0.43; 95%CI, - 0.82 to - 0.04). Subgroup analyses in women with breast cancer showed that weight loss interventions and interventions incorporating behavior change strategies significantly reduced body weight and fat mass but also reduced lean mass. Interventions aiming to maintain body weight showed no changes in body weight, as intended. CONCLUSION Combined nutrition and exercise interventions successfully reduce body weight and fat mass in adults with cancer but also reduce lean mass. In contrast, weight loss-focused interventions are associated mostly with reduced lean mass. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration number CRD42020161805.
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Affiliation(s)
- Brenton J Baguley
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia
| | - Jack Dalla Via
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia.,Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, Western Australia, Australia
| | - Steve F Fraser
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia
| | - Robin M Daly
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia
| | - Nicole Kiss
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia.,Allied Health Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
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40
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Biomarkers extracted by fully automated body composition analysis from chest CT correlate with SARS-CoV-2 outcome severity. Sci Rep 2022; 12:16411. [PMID: 36180519 PMCID: PMC9524347 DOI: 10.1038/s41598-022-20419-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 09/13/2022] [Indexed: 12/03/2022] Open
Abstract
The complex process of manual biomarker extraction from body composition analysis (BCA) has far restricted the analysis of SARS-CoV-2 outcomes to small patient cohorts and a limited number of tissue types. We investigate the association of two BCA-based biomarkers with the development of severe SARS-CoV-2 infections for 918 patients (354 female, 564 male) regarding disease severity and mortality (186 deceased). Multiple tissues, such as muscle, bone, or adipose tissue are used and acquired with a deep-learning-based, fully-automated BCA from computed tomography images of the chest. The BCA features and markers were univariately analyzed with a Shapiro–Wilk and two-sided Mann–Whitney-U test. In a multivariate approach, obtained markers were adjusted by a defined set of laboratory parameters promoted by other studies. Subsequently, the relationship between the markers and two endpoints, namely severity and mortality, was investigated with regard to statistical significance. The univariate approach showed that the muscle volume was significant for female (pseverity ≤ 0.001, pmortality ≤ 0.0001) and male patients (pseverity = 0.018, pmortality ≤ 0.0001) regarding the severity and mortality endpoints. For male patients, the intra- and intermuscular adipose tissue (IMAT) (p ≤ 0.0001), epicardial adipose tissue (EAT) (p ≤ 0.001) and pericardial adipose tissue (PAT) (p ≤ 0.0001) were significant regarding the severity outcome. With the mortality outcome, muscle (p ≤ 0.0001), IMAT (p ≤ 0.001), EAT (p = 0.011) and PAT (p = 0.003) remained significant. For female patients, bone (p ≤ 0.001), IMAT (p = 0.032) and PAT (p = 0.047) were significant in univariate analyses regarding the severity and bone (p = 0.005) regarding the mortality. Furthermore, the defined sarcopenia marker (p ≤ 0.0001, for female and male) was significant for both endpoints. The cardiac marker was significant for severity (pfemale = 0.014, pmale ≤ 0.0001) and for mortality (pfemale ≤ 0.0001, pmale ≤ 0.0001) endpoint for both genders. The multivariate logistic regression showed that the sarcopenia marker was significant (pseverity = 0.006, pmortality = 0.002) for both endpoints (ORseverity = 0.42, 95% CIseverity: 0.23–0.78, ORmortality = 0.34, 95% CImortality: 0.17–0.67). The cardiac marker showed significance (p = 0.018) only for the severity endpoint (OR = 1.42, 95% CI 1.06–1.90). The association between BCA-based sarcopenia and cardiac biomarkers and disease severity and mortality suggests that these biomarkers can contribute to the risk stratification of SARS-CoV-2 patients. Patients with a higher cardiac marker and a lower sarcopenia marker are at risk for a severe course or death. Whether those biomarkers hold similar importance for other pneumonia-related diseases requires further investigation.
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41
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Kroll L, Mathew A, Baldini G, Hosch R, Koitka S, Kleesiek J, Rischpler C, Haubold J, Fuhrer D, Nensa F, Lahner H. CT-derived body composition analysis could possibly replace DXA and BIA to monitor NET-patients. Sci Rep 2022; 12:13419. [PMID: 35927564 PMCID: PMC9352897 DOI: 10.1038/s41598-022-17611-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 07/28/2022] [Indexed: 12/03/2022] Open
Abstract
Patients with neuroendocrine tumors of gastro-entero-pancreatic origin (GEP-NET) experience changes in fat and muscle composition. Dual-energy X-ray absorptiometry (DXA) and bioelectrical impedance analysis (BIA) are currently used to analyze body composition. Changes thereof could indicate cancer progression or response to treatment. This study examines the correlation between CT-based (computed tomography) body composition analysis (BCA) and DXA or BIA measurement. 74 GEP-NET-patients received whole-body [68Ga]-DOTATOC-PET/CT, BIA, and DXA-scans. BCA was performed based on the non-contrast-enhanced, 5 mm, whole-body-CT images. BCA from CT shows a strong correlation between body fat ratio with DXA (r = 0.95, ρC = 0.83) and BIA (r = 0.92, ρC = 0.76) and between skeletal muscle ratio with BIA: r = 0.81, ρC = 0.49. The deep learning-network achieves highly accurate results (mean Sørensen-Dice-score 0.93). Using BCA on routine Positron emission tomography/CT-scans to monitor patients’ body composition in the diagnostic workflow can reduce additional exams whilst substantially amplifying measurement in slower progressing cancers such as GEP-NET.
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Affiliation(s)
- Lennard Kroll
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany. .,Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.
| | - Annie Mathew
- Department of Endocrinology, Diabetes and Metabolism and Division of Laboratory Research, University Hospital Essen, Essen, Germany
| | - Giulia Baldini
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.,Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany
| | - René Hosch
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.,Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany
| | - Sven Koitka
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.,Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany
| | - Jens Kleesiek
- Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany
| | | | - Johannes Haubold
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.,Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany
| | - Dagmar Fuhrer
- Department of Endocrinology, Diabetes and Metabolism and Division of Laboratory Research, University Hospital Essen, Essen, Germany
| | - Felix Nensa
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.,Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany
| | - Harald Lahner
- Department of Endocrinology, Diabetes and Metabolism and Division of Laboratory Research, University Hospital Essen, Essen, Germany
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42
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Li LQ, Zhao WD, Su TS, Wang YD, Meng WW, Liang SX. Effect of Body Composition on Outcomes in Patients with Hepatocellular Carcinoma Undergoing Radiotherapy: A Retrospective Study. Nutr Cancer 2022; 74:3302-3311. [PMID: 35543186 DOI: 10.1080/01635581.2022.2074472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Computed tomography (CT)-assessed body composition is considered a novel prognostic factor for cancer patients. Owing to the need for new prognostic markers for hepatocellular carcinoma (HCC) patients undergoing radiotherapy, we investigated the impact of body composition on outcomes in this patient population. We retrospectively evaluated 109 HCC patients receiving radiotherapy. The skeletal muscle index, subcutaneous adipose tissue index (SATI), and visceral adipose tissue index within 1 mo, before radiotherapy were assessed based on a single CT image slice at the level of the third lumbar (L3) vertebra. The impact of body composition parameters on progression-free survival (PFS) and overall survival (OS) was assessed. Overall, 62 (56.9%) patients died, and 47 (43.1%) patients experienced recurrence during a median follow-up period of 20.5 mo. Multivariate analysis revealed that SATI was an independent prognostic factor for both PFS (hazard ratio [HR] 0.542, P = 0.025) and OS (HR 0.385, P = 0.005). Patients with high SATI (n = 43) had significantly better PFS (P = 0.0093) and OS (P = 0.032) than those with low SATI (n = 66). CT-assessed SATI is an independent prognostic factor in HCC patients receiving radiotherapy. Further validation is warranted to determine whether this finding can be translated into other study populations.
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Affiliation(s)
- Li-Qing Li
- Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Guangxi Zhuang Autonomous Region, Nanning, China
| | - Wei-Dong Zhao
- Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Guangxi Zhuang Autonomous Region, Nanning, China
| | - Ting-Shi Su
- Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Guangxi Zhuang Autonomous Region, Nanning, China
| | - Yu-Dan Wang
- Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Guangxi Zhuang Autonomous Region, Nanning, China
| | - Wan-Wan Meng
- Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Guangxi Zhuang Autonomous Region, Nanning, China
| | - Shi-Xiong Liang
- Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Guangxi Zhuang Autonomous Region, Nanning, China
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43
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Bulut G, Atci N. Sarcopenic obesity in early breast cancer patients with metabolic syndrome: a cross-sectional study. Future Oncol 2022; 18:2489-2498. [PMID: 35543029 DOI: 10.2217/fon-2022-0155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: The importance of sarcopenic obesity (SO) in malignancy has recently been recognized. The authors aimed to investigate the clinical and body composition data of early-stage breast cancer (BC) patients by focusing on the components of metabolic syndrome (MetS) and SO. Methods: In this cross-sectional study with early-stage BC patients, the clinical and laboratory results were evaluated for diagnosing MetS. Bioimpedance analysis and muscle radiation attenuation (Hounsfield unit average calculation [HUAC]) using acquired computed tomography images were used to assess SO. Results: The age at diagnosis, BMI, visceral fat ratio, hemoglobin A1c and carcinoembryonic antigen levels in patients with MetS were significantly higher (p < 0.05). A cutoff value of 39.4 Hounsfield units was significantly related to MetS with 76.5% sensitivity and 62% specificity. The mean HUAC in patients with MetS (36.9) was significantly lower than in those without MetS (41.4; p = 0.017). Conclusion: HUAC value predicted SO in early-stage BC patients with MetS.
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Affiliation(s)
- Gulcan Bulut
- International Medicana Hospital, Department of Medical Oncology, Izmir, 35170, Turkey
| | - Nesrin Atci
- Mozaik Hospital, Department of Radiology, Hatay, 31070, Turkey
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44
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Lopez P, Newton RU, Taaffe DR, Singh F, Lyons-Wall P, Buffart LM, Tang C, Hayne D, Galvão DA. Interventions for Improving Body Composition in Men with Prostate Cancer: A Systematic Review and Network Meta-analysis. Med Sci Sports Exerc 2022; 54:728-740. [PMID: 34935706 DOI: 10.1249/mss.0000000000002843] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
PURPOSE To perform a systematic review and network meta-analysis to investigate the most effective intervention for improving body composition outcomes in prostate cancer patients during or after treatment. METHODS A systematic search was undertaken in multiple databases from inception to December 2020. Randomized clinical trials examining the effects of exercise/physical activity and/or nutrition interventions on body composition and body weight measures in prostate cancer patients were included. The primary endpoints were both whole-body and regional fat mass and lean mass measures, with body weight and BMI as secondary outcomes. A frequentist random-effects network meta-analysis was undertaken to examine the clustering effect of intervention modalities or control groups on the outcomes of interest. The study protocol is publicly available on PROSPERO (CRD42020202339). RESULTS Fifty articles describing 47 trials (n = 3207) were included. Resistance training and combined resistance and aerobic exercise were the most effective interventions to reduce body fat percentage (-0.9%; 95% confidence interval [CI], -1.4% to -0.3%) and fat mass (-0.5 kg; 95% CI, -0.9 to -0.1 kg), respectively. For whole-body and regional lean mass, combined resistance and aerobic exercise + healthy diet (0.6 kg; 95% CI, 0.1 to 1.0 kg) and resistance training alone (0.7 kg, 95% CI: 0.4 to 1.0 kg) were the best intervention, respectively. A low-fat diet was the most effective for reducing body weight immediately after or at follow-up, while no intervention promoted significant reductions in BMI. CONCLUSIONS These results indicate that a resistance-based exercise program alone or combined with a general healthy diet are the most effective interventions for improving overall body composition in men with prostate cancer.
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45
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Lopez P, Newton RU, Taaffe DR, Singh F, Buffart LM, Spry N, Tang C, Saad F, Galvão DA. Associations of fat and muscle mass with overall survival in men with prostate cancer: a systematic review with meta-analysis. Prostate Cancer Prostatic Dis 2022; 25:615-626. [PMID: 34420038 PMCID: PMC9705235 DOI: 10.1038/s41391-021-00442-0] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 08/05/2021] [Accepted: 08/09/2021] [Indexed: 01/14/2023]
Abstract
BACKGROUND To systematically review and analyse the associations between fat and muscle mass measures with overall survival in men with prostate cancer. METHODS A systematic search was conducted in CINAHL, Cochrane Library, EMBASE, PubMed, and Web of Science databases from inception to December 2020, while abstracts from the American Society of Clinical Oncology (ASCO), Clinical Oncology Society of Australia (COSA), and the American College of Sports Medicine (ACSM) conferences were searched from 2014 to 2020. Eligible articles examined the association of body composition measures, such as fat mass (e.g., fat mass, visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), and VAT/SAT) and muscle mass measures, with overall survival in prostate cancer patients at any treatment stage. The primary endpoint was overall survival. Random-effect meta-analysis was conducted for studies reporting multivariable or univariable analysis assessing the associations of fat mass measures (i.e., fat mass, VAT, SAT, VAT/SAT) and muscle mass measures with overall survival. RESULTS Sixteen cohort studies that comprised 4807 men with prostate cancer were included. Total adiposity (hazard ratio (HR) 0.98, 95% CI: 0.75-1.28, p = 0.888) and VAT (HR 1.03, 95% CI: 0.74-1.43, p = 0.873) were not significantly associated with overall survival, while higher subcutaneous adipose tissue levels were associated with higher survival (HR 0.68, 95% CI: 0.54-0.84, p = 0.001). Greater mortality risk was found in patients with localised (HR 1.91, 95% CI: 1.40-2.62, p < 0.001) and advanced disease (HR 1.43, 95% CI: 1.07-1.92, p = 0.020) presenting with low levels of muscle mass compared to those presenting with high levels. DISCUSSION These results indicate that although overall adiposity should be cautiously interpreted in regards to survival, high muscle mass and SAT, and low VAT/SAT ratio values are associated with overall survival in men with prostate cancer.
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Affiliation(s)
- Pedro Lopez
- Exercise Medicine Research Institute, Edith Cowan University, Joondalup, WA, Australia.
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia.
| | - Robert U Newton
- Exercise Medicine Research Institute, Edith Cowan University, Joondalup, WA, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- School of Human Movement and Nutrition Sciences, University of Queensland, St. Lucia, QLD, Australia
| | - Dennis R Taaffe
- Exercise Medicine Research Institute, Edith Cowan University, Joondalup, WA, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Favil Singh
- Exercise Medicine Research Institute, Edith Cowan University, Joondalup, WA, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Laurien M Buffart
- Exercise Medicine Research Institute, Edith Cowan University, Joondalup, WA, Australia
- Department of Physiology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
| | - Nigel Spry
- Exercise Medicine Research Institute, Edith Cowan University, Joondalup, WA, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Faculty of Medicine, University of Western Australia, Nedlands, WA, Australia
| | - Colin Tang
- Exercise Medicine Research Institute, Edith Cowan University, Joondalup, WA, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Perth, WA, Australia
| | - Fred Saad
- Division of Urology and Urologic Oncology, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada
| | - Daniel A Galvão
- Exercise Medicine Research Institute, Edith Cowan University, Joondalup, WA, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
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Bedrikovetski S, Seow W, Kroon HM, Traeger L, Moore JW, Sammour T. Artificial intelligence for body composition and sarcopenia evaluation on computed tomography: A systematic review and meta-analysis. Eur J Radiol 2022; 149:110218. [DOI: 10.1016/j.ejrad.2022.110218] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 12/30/2021] [Accepted: 02/10/2022] [Indexed: 12/13/2022]
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47
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Naito T, Uchino J, Kojima T, Matano Y, Minato K, Tanaka K, Mizukami T, Atagi S, Higashiguchi T, Muro K, Takayama K, Furuse J, Morishima E, Takiguchi T, Tamura K. A multicenter, open-label, single-arm study of anamorelin (ONO-7643) in patients with cancer cachexia and low body mass index. Cancer 2022; 128:2025-2035. [PMID: 35195274 PMCID: PMC9303784 DOI: 10.1002/cncr.34154] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 01/20/2022] [Accepted: 02/07/2022] [Indexed: 12/11/2022]
Abstract
Background Cancer cachexia is a syndrome characterized by anorexia and decreased body weight. This study evaluated the efficacy and safety of anamorelin, an orally active, selective ghrelin receptor agonist, in patients with cancer cachexia and a low body mass index (BMI). Methods This multicenter, open‐label, single‐arm study enrolled Japanese patients with non–small cell lung cancer or gastrointestinal cancer with cancer cachexia (BMI < 20 kg/m2, involuntary weight loss > 2% in the last 6 months, and anorexia). Patients were administered 100 mg of anamorelin once daily for up to 24 weeks. The primary end point was a composite clinical response (CCR) at 9 weeks, which was defined as an increase in body weight of ≥5% from the baseline, an increase of ≥2 points in the score of the 5‐item Anorexia Symptom Scale of the Functional Assessment of Anorexia/Cachexia Therapy, and being alive. Results One hundred two patients were eligible and enrolled. The means and standard deviations for age and BMI were 71.0 ± 8.2 years and 17.47 ± 1.48 kg/m2, respectively. The CCR rate at 9 weeks was 25.9% (95% confidence interval [CI], 18.3%‐35.3%), which met the primary end point with a lower 95% CI exceeding the prespecified minimum of 8%. Improvements in body weight and anorexia were durable and were accompanied by improvements in patients' global impression of change for appetite/eating‐related symptoms and overall condition. Adverse drug reactions occurred in 37 of 101 treated patients (36.6%), with the most common being glycosylated hemoglobin increases, constipation, and peripheral edema. Conclusions Anamorelin improved body weight and anorexia‐related symptoms in patients with cancer cachexia and a low BMI with durable efficacy and favorable safety and tolerability. Lay Summary Anamorelin is a drug that stimulates appetite and promotes weight gain. This clinical trial was aimed at determining its efficacy and safety in Japanese cancer patients with a low body mass index and cachexia, a syndrome associated with anorexia and weight loss. Anamorelin was found to improve body weight and anorexia‐related symptoms in these patients, and these effects were durable for up to 24 weeks. Moreover, anamorelin was generally well tolerated. These findings suggest that anamorelin is a valuable treatment option for patients with cancer cachexia and a low body mass index.
This single‐arm trial is aimed at investigating the efficacy and safety of anamorelin in Japanese patients with cancer cachexia and a low body mass index. Anamorelin improves body weight and anorexia‐related symptoms with durable efficacy and favorable safety and tolerability.
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Affiliation(s)
- Tateaki Naito
- Division of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan
| | - Junji Uchino
- Department of Pulmonary Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Toru Kojima
- Department of Respiratory Medicine, Fukui Prefectural Hospital, Fukui, Japan
| | - Yutaka Matano
- Department of Internal Medicine, Komatsu Municipal Hospital, Komatsu, Japan
| | - Koichi Minato
- Division of Respiratory Medicine, Gunma Prefectural Cancer Center, Ota, Japan
| | - Kentaro Tanaka
- Research Institute for Diseases of the Chest, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takuro Mizukami
- Department of Clinical Oncology, St. Marianna University, Kawasaki, Japan
| | - Shinji Atagi
- Department of Thoracic Oncology, National Hospital Organization Kinki-Chuo Chest Medical Center, Sakai, Japan
| | | | - Kei Muro
- Department of Clinical Oncology, Aichi Cancer Center, Nagoya, Japan
| | - Koichi Takayama
- Department of Pulmonary Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Junji Furuse
- Department of Medical Oncology, Kyorin University Faculty of Medicine, Mitaka, Japan
| | - Eiichiro Morishima
- Department of Statistical Analysis, Ono Pharmaceutical Co, Ltd, Osaka, Japan
| | - Toru Takiguchi
- Clinical Development Planning, Ono Pharmaceutical Co, Ltd, Osaka, Japan
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48
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Meyer HJ, Wienke A, Surov A. Computed tomography-defined body composition as prognostic markers for unfavourable outcomes and in-hospital mortality in coronavirus disease 2019. J Cachexia Sarcopenia Muscle 2022; 13:159-168. [PMID: 35018725 PMCID: PMC8818651 DOI: 10.1002/jcsm.12868] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Revised: 09/27/2021] [Accepted: 10/26/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Low skeletal muscle mass (LSMM) and visceral fat areas can be assessed by cross-sectional images. These parameters are associated with several clinically relevant factors in various disorders with predictive and prognostic implications. Our aim was to establish the effect of computed tomography (CT)-defined LSMM and fat areas on unfavourable outcomes and in-hospital mortality in coronavirus disease 2019 (COVID-19) patients based on a large patient sample. METHODS MEDLINE library, Cochrane, and Scopus databases were screened for the associations between CT-defined LSMM as well as fat areas and in-hospital mortality in COVID-19 patients up to September 2021. In total, six studies were suitable for the analysis and included into the present analysis. RESULTS The included studies comprised 1059 patients, 591 men (55.8%) and 468 women (44.2%), with a mean age of 60.1 years ranging from 48 to 66 years. The pooled prevalence of LSMM was 33.6%. The pooled odds ratio for the effect of LSMM on in-hospital mortality in univariate analysis was 5.84 [95% confidence interval (CI) 1.07-31.83]. It was 2.73 (95% CI 0.54-13.70) in multivariate analysis. The pooled odds ratio of high visceral fat area on unfavourable outcome in univariate analysis was 2.65 (95% CI 1.57-4.47). CONCLUSIONS Computed tomography-defined LSMM and high visceral fat area have a relevant association with in-hospital mortality in COVID-19 patients and should be included as relevant prognostic biomarkers into clinical routine.
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Affiliation(s)
- Hans-Jonas Meyer
- Department of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany
| | - Andreas Wienke
- Institute of Medical Epidemiology, Biostatistics, and Informatics, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Alexey Surov
- Department of Radiology and Nuclear Medicine, University of Magdeburg, Magdeburg, Germany
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49
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Brown JC, Heymsfield SB, Caan BJ. Scaling of computed tomography body composition to height: relevance of height-normalized indices in patients with colorectal cancer. J Cachexia Sarcopenia Muscle 2022; 13:203-209. [PMID: 34741439 PMCID: PMC8818649 DOI: 10.1002/jcsm.12847] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 09/13/2021] [Accepted: 10/01/2021] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Body weight scales to height with a power of ≈2 (weight/height2 ), forming the basis of body mass index (BMI). The corresponding scaling of body composition measured by abdominal computed tomography (CT) to height has not been established. The objective of this analysis was to quantify the scaling of body composition measured by a single-slice axial abdominal CT image (skeletal muscle, and visceral, subcutaneous, and total adipose tissue) to height in patients with colorectal cancer (CRC). METHODS This cross-sectional study included non-Hispanic white males and females, aged 18-80 years, who were diagnosed with stage I-III CRC at an integrated health care system in North America between January 2006 and December 2011. Body composition was measured by a single-slice axial CT image of the third lumbar vertebra and analysed with a semi-automated threshold segmentation procedure. Allometric regression models were used to quantify height scaling powers (β ± standard error) for each body composition measure, adjusted for age, for males and females. An interaction test was used to determine if height scaling powers were statistically significantly different between males and females. RESULTS Among 2036 subjects, the mean (standard deviation) age was 64 ± 11 years, 1008 (49.5%) were female, and the mean (standard deviation) BMI was 27.9 ± 5.4 kg/m2 . Powers for skeletal muscle area were 1.06 ± 0.12 for males and 0.80 ± 0.12 for females (P = 0.049). Powers for visceral adipose tissue area were 1.81 ± 0.64 for males and 0.57 ± 0.79 for females (P = 0.16). Powers for subcutaneous adipose tissue area were 2.04 ± 0.42 for males and 0.81 ± 0.45 for females (P = 0.056). Powers for total abdominal adipose tissue area were 1.80 ± 0.46 for males and 0.76 ± 0.50 for females (P = 0.20). CONCLUSIONS Body composition measured by single-slice axial abdominal CT, particularly muscle area, scales to height with age-adjusted powers that are different than 2 and are distinct between males and females. These observations may have implications for the development of height-adjusted body composition indices in patients with cancer.
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Affiliation(s)
- Justin C Brown
- Pennington Biomedical Research Center, Baton Rouge, LA, USA.,LSU Health Sciences Center New Orleans School of Medicine, New Orleans, LA, USA.,Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | | | - Bette J Caan
- Kaiser Permanente Northern California, Oakland, CA, USA
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50
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Groot OQ, Bongers MER, Buckless CG, Twining PK, Kapoor ND, Janssen SJ, Schwab JH, Torriani M, Bredella MA. Body composition predictors of mortality in patients undergoing surgery for long bone metastases. J Surg Oncol 2022; 125:916-923. [PMID: 35023149 PMCID: PMC8917991 DOI: 10.1002/jso.26793] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/28/2021] [Accepted: 01/03/2022] [Indexed: 11/15/2022]
Abstract
Background and Objectives Body composition measurements using computed tomography (CT) may serve as imaging biomarkers of survival in patients with and without cancer. This study assesses whether body composition measurements obtained on abdominal CTs are independently associated with 90‐day and 1‐year mortality in patients with long‐bone metastases undergoing surgery. Methods This single institutional retrospective study included 212 patients who had undergone surgery for long‐bone metastases and had a CT of the abdomen within 90 days before surgery. Quantification of cross‐sectional areas (CSA) and CT attenuation of abdominal subcutaneous adipose tissue, visceral adipose tissue, and paraspinous and abdominal muscles were performed at L4. Multivariate Cox proportional‐hazards analyses were performed. Results Sarcopenia was independently associated with 90‐day mortality (hazard ratio [HR] = 1.87; 95% confidence interval [CI] = 1.11–3.16; p = 0.019) and 1‐year mortality (HR = 1.50; 95% CI = 1.02–2.19; p = 0.038) in multivariate analysis while controlling for clinical variables such as primary tumors, comorbidities, and chemotherapy. Abdominal fat CSAs and muscle attenuation were not associated with mortality. Conclusions The presence of sarcopenia assessed by CT is predictive of 90‐day and 1‐year mortality in patients undergoing surgery for long‐bone metastases. This body composition measurement can be used as novel imaging biomarker supplementing existing prognostic tools to optimize patient selection for surgery and improve shared decision making.
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Affiliation(s)
- Olivier Q Groot
- Department of Orthopaedic Surgery-Orthopaedic Oncology Service, Massachusetts General Hospital-Harvard Medical School, Boston, Massachusetts, USA
| | - Michiel E R Bongers
- Department of Orthopaedic Surgery-Orthopaedic Oncology Service, Massachusetts General Hospital-Harvard Medical School, Boston, Massachusetts, USA
| | - Colleen G Buckless
- Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Peter K Twining
- Department of Orthopaedic Surgery-Orthopaedic Oncology Service, Massachusetts General Hospital-Harvard Medical School, Boston, Massachusetts, USA
| | - Neal D Kapoor
- Department of Orthopaedic Surgery-Orthopaedic Oncology Service, Massachusetts General Hospital-Harvard Medical School, Boston, Massachusetts, USA
| | - Stein J Janssen
- Department of Orthopedic Surgery, Amsterdam Movement Sciences, Amsterdam University Medical Center-University of Amsterdam Meibergdreef, Amsterdam, The Netherlands
| | - Joseph H Schwab
- Department of Orthopaedic Surgery-Orthopaedic Oncology Service, Massachusetts General Hospital-Harvard Medical School, Boston, Massachusetts, USA
| | - Martin Torriani
- Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Miriam A Bredella
- Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
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