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Yang F, Tian W, Luo S, Li W, Zhao G, Zhao R, Tian T, Zhao Y, Yao Z, Huang Q. Visceral to subcutaneous fat area ratio predicts severe abdominal adhesions in definitive surgery for anastomotic fistula after small intestine resection. Sci Rep 2024; 14:19063. [PMID: 39154084 PMCID: PMC11330519 DOI: 10.1038/s41598-024-69379-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Accepted: 08/05/2024] [Indexed: 08/19/2024] Open
Abstract
Abdominal adhesions manifests following abdominal infections triggered by intestinal fistulas. The severity of such adhesions depends on the extent of fiber deposition and peritoneal fibrinolysis following peritoneal injury, which may be influenced by sustained inflammation within the abdominal cavity. In this regard, the visceral-to-subcutaneous fat area (VFA/SFA) ratio has been implicated as a potential marker of inflammation. This study aimed to explore the relationship between VFA/SFA and abdominal adhesions. This multicenter study was conducted across four tertiary institutions and involved patients who had undergone definitive surgery (DS) for intestinal fistula from January 2009 and October 2023. The presence of abdominal adhesions was determined intraoperatively. VFA/SFA was investigated as a potential risk factor for severe adhesions. The study comprised 414 patients with a median age of 50 [interquartile range (IQR) 35-66] years and a median body mass index of 20.0 (IQR 19.2-22.4) kg/m2, including 231 males with a median VFA/SFA of 1.0 (IQR 0.7-1.2) and 183 females a median VFA/SFA of 0.8 (0.6-1.1). VFA/SFA was associated with severe abdominal adhesions in males [odds ratio (OR) = 3.34, 95% CI 1.14-9.80, p = 0.03] and females (OR = 2.99, 95% CI 1.05-8.53, p = 0.04). J-shaped association between VFA/SFA ratio and severe adhesions was revealed in both sex. The increasing trend can be revealed when OR more than 0.8, and 0.6 in males and females respectively. Preoperative VFA/SFA demonstrates predictive value for statues of severe abdominal adhesions in DS for anastomotic fistula after small intestine resection.
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Affiliation(s)
- Fan Yang
- Department of General Surgery, Jinling Hospital, Zhongshan Road No. E.305, Nanjing, Jiangsu, China
| | - Weiliang Tian
- Department of General Surgery, Jinling Hospital, Zhongshan Road No. E.305, Nanjing, Jiangsu, China
| | - Shikun Luo
- Department of General Surgery, Jiangning Hospital, Hushan Road No. 169, Nanjing, Jiangsu, China
| | - Wuhan Li
- Department of General Surgery, Anhui Provincial Hospital, Hefei, Anhui, China
| | - Guoping Zhao
- Department of General Surgery, Jiangning Hospital, Hushan Road No. 169, Nanjing, Jiangsu, China.
| | - Risheng Zhao
- Department of General Surgery, Jiangning Hospital, Hushan Road No. 169, Nanjing, Jiangsu, China.
| | - Tao Tian
- Department of General Surgery, Shanghai 9th Hospital, Shanghai, China
| | - Yunzhao Zhao
- Department of General Surgery, Jiangning Hospital, Hushan Road No. 169, Nanjing, Jiangsu, China
| | - Zheng Yao
- Department of General Surgery, Jiangning Hospital, Hushan Road No. 169, Nanjing, Jiangsu, China.
| | - Qian Huang
- Department of General Surgery, Jinling Hospital, Zhongshan Road No. E.305, Nanjing, Jiangsu, China.
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Aydın E, Güvel Verdi E, Balci MF, Ergin B, Yekta Yürük Y, Simsar M, Şahin H, Şahin Ş, Akdemir C, Sanci M. The relationship between imaging-based body composition parameters and disease prognosis in patients with endometrial cancer. J Obstet Gynaecol Res 2024. [PMID: 38960395 DOI: 10.1111/jog.16010] [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: 11/27/2023] [Accepted: 06/13/2024] [Indexed: 07/05/2024]
Abstract
BACKGROUND Obesity is known as a risk factor for endometrial cancer (EC). Only a few studies investigate the relationship between sarcopenia and sarcopenic obesity and EC. In this study, our aim was to investigate the relationship between the cross-sectional imaging-based body composition parameters and the disease prognosis in low-grade (LG) and high-grade (HG) EC. MATERIALS AND METHODS We conducted a retrospective study in women diagnosed with low and high-grade EC between January 2014 and May 2022 who had abdominal MRI and thorax CT as a part of routine staging workup. We used the skeletal muscle index (SMI) at the level of the third lumbar vertebra to assess sarcopenia on CT. The T2-weighted sequence at the level of the L2-L3 intervertebral disc is used for visceral fat area (VFA), subcutaneous fat area (SFA), and total fat area (TFA). Two radiologists in consensus, calculated the parameters. RESULTS A total of 250 EC patients (144 low-grade EC, 106 high-grade EC).Sarcopenia was observed in 122 (48.8%) patients, and sarcopenic obesity was found in 82 (32.8%) patients. Although there was an increase in VFA in cases with high-grade EC, there was no significant difference in terms of SFA. Additionally, the frequency of sarcopenia and sarcopenic obesity was higher in cases with high-grade EC. There was no association between sarcopenia and age, histological type, FIGO staging, or comorbidity in the univariate analysis. However, BMI was found to be associated with sarcopenia. CONCLUSIONS Quantitative radiological measurement of sarcopenia, sarcopenic obesity, and body fat composition can be used as novel parameters in the prediction of disease prognosis in endometrial cancer.
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Affiliation(s)
- Elçin Aydın
- Department of Radiology, Izmir Tepecik Training and Research Hospital, University of Health Sciences, Izmir, Turkey
- Department of Radiology, Izmir Faculty of Medicine, University of Health Sciences, Izmir, Turkey
| | - Ezgi Güvel Verdi
- Department of Radiology, Izmir Tepecik Training and Research Hospital, University of Health Sciences, Izmir, Turkey
| | - Mücahit Furkan Balci
- Department of Gynecology and Obstetrics, Izmir Tepecik Training and Research Hospital, University of Health Sciences, Izmir, Turkey
| | - Begüm Ergin
- Department of Radiology, Izmir Tepecik Training and Research Hospital, University of Health Sciences, Izmir, Turkey
| | - Yeşim Yekta Yürük
- Department of Radiology, Izmir Tepecik Training and Research Hospital, University of Health Sciences, Izmir, Turkey
| | - Mehmet Simsar
- Department of Radiology, Izmir Tepecik Training and Research Hospital, University of Health Sciences, Izmir, Turkey
| | - Hilal Şahin
- Department of Radiology, Izmir Tepecik Training and Research Hospital, University of Health Sciences, Izmir, Turkey
- Department of Radiology, Izmir Faculty of Medicine, University of Health Sciences, Izmir, Turkey
| | - Şükrü Şahin
- Department of Radiology, Adıyaman Training and Research Hospital, Adiyaman, Turkey
| | - Celal Akdemir
- Department of Gynecologic Oncology, Izmir Tepecik Training and Research Hospital, University of Health Sciences, Izmir, Turkey
| | - Muzaffer Sanci
- Department of Gynecologic Oncology, Izmir Tepecik Training and Research Hospital, University of Health Sciences, Izmir, Turkey
- Department of Gynecologic Oncology, Izmir Faculty of Medicine, University of Health Sciences, Izmir, Turkey
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Zheng K, Liu X, Li Y, Cui J, Li W. CT-based muscle and adipose measurements predict prognosis in patients with digestive system malignancy. Sci Rep 2024; 14:13036. [PMID: 38844600 PMCID: PMC11156914 DOI: 10.1038/s41598-024-63806-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 06/03/2024] [Indexed: 06/09/2024] Open
Abstract
The role of skeletal muscle and adipose tissue in the progression of cancer has been gradually discussed, but it needs further exploration. The objective of this study was to provide an in-depth analysis of skeletal muscle and fat in digestive malignancies and to construct novel predictors for clinical management. This is a retrospective study that includes data from Cancer Center, the First Hospital of Jilin University. Basic characteristic information was analyzed by T tests. Correlation matrices were drawn to explore the relationship between CT-related indicators and other indicators. Cox risk regression analyses were performed to analyze the association between the overall survivals (OS) and various types of indicators. A new indicator body composition score (BCS) was then created and a time-dependent receiver operating characteristic curve was plotted to analyze the efficacy of the BCS. Finally, a nomogram was produced to develop a scored-CT system based on BCS and other indicators. C-index and calibration curve analyses were performed to validate the predictive accuracy of the scored-CT system. A total of 575 participants were enrolled in the study. Cox risk regression model revealed that VFD, L3 SMI and VFA/SFA were associated with prognosis of cancer patients. After adjustment, BCS index based on CT was significantly associated with prognosis, both in all study population and in subgroup analysis according to tumor types (all study population: HR 2.036, P < 0.001; colorectal cancer: HR 2.693, P < 0.001; hepatocellular carcinoma: HR 4.863, P < 0.001; esophageal cancer: HR 4.431, P = 0.008; pancreatic cancer: HR 1.905, P = 0.016; biliary system malignancies: HR 23.829, P = 0.035). The scored-CT system was constructed according to tumor type, stage, KPS, PG-SGA and BCS index, and it was of great predictive validity. This study identified VFD, L3 SMI and VFA/SFA associated with digestive malignancies outcomes. BCS was created and the scored-CT system was established to predict the OS of cancer patients.
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Affiliation(s)
- Kaiwen Zheng
- Cancer Center, The First Hospital of Jilin University, Xinmin St No 126, Changchun, 130021, Jilin, China
| | - Xiangliang Liu
- Cancer Center, The First Hospital of Jilin University, Xinmin St No 126, Changchun, 130021, Jilin, China
| | - Yuguang Li
- College of Instrumentation and Electrical Engineering, Jilin University, Changchun, Jilin, China
| | - Jiuwei Cui
- Cancer Center, The First Hospital of Jilin University, Xinmin St No 126, Changchun, 130021, Jilin, China.
| | - Wei Li
- Cancer Center, The First Hospital of Jilin University, Xinmin St No 126, Changchun, 130021, Jilin, China.
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Yoshida K, Kondo E, Ishida M, Ichikawa Y, Watashige N, Okumura A, Matsumoto T, Okamoto K, Maki S, Kubo-Kaneda M, Nii M, Ikeda T. Visceral Adipose Tissue Percentage Compared to Body Mass Index as Better Indicator of Surgical Outcomes in Women With Obesity and Endometrial Cancer. J Minim Invasive Gynecol 2024; 31:445-452. [PMID: 38417674 DOI: 10.1016/j.jmig.2024.02.009] [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: 09/27/2023] [Revised: 02/03/2024] [Accepted: 02/23/2024] [Indexed: 03/01/2024]
Abstract
STUDY OBJECTIVE To assess the impact visceral adipose tissue percentage (VAT%) on surgical outcomes during minimally invasive surgery in obese women with endometrial cancer. DESIGN Retrospective observational cohort study. SETTING Mie University Hospital, Japan. PATIENTS Of the 73 women (body mass index [BMI] >30 kg/m2) with obesity and primary endometrial cancer, 52 underwent robotic surgery, while 21 underwent laparoscopic surgery between April 2014 and December 2022. INTERVENTIONS We investigated the correlation between surgical outcomes (operative time and blood loss) and obesity (BMI and visceral adipose tissue percentage [VAT%]). MEASUREMENTS AND MAIN RESULTS Abdominal fat-related parameters were measured at the level of the umbilicus using preoperative computed tomography. A weak negative correlation was found between BMI and VAT% (CC = -0.313, p = .001). Multivariate analysis showed that VAT% had a stronger correlation to total and practical operative time than BMI (β = 0.338 vs 0.267, β = 0.311 vs 0.209, respectively) and was an independent predictor of blood loss. VAT% was an independent predictive marker prolonged for operative time and increased blood loss during lymphadenectomy. CONCLUSION VAT% could be an indicator of surgical outcomes for patients with obesity and endometrial cancer.
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Affiliation(s)
- Kenta Yoshida
- Department of Obstetrics and Gynecology, Mie University Hospital, Mie, Japan
| | - Eiji Kondo
- Department of Obstetrics and Gynecology, Mie University Hospital, Mie, Japan.
| | - Masaki Ishida
- Department of Radiology, Mie University Hospital, Mie, Japan
| | | | - Naoki Watashige
- Department of Obstetrics and Gynecology, Mie University Hospital, Mie, Japan
| | - Asumi Okumura
- Department of Obstetrics and Gynecology, Mie University Hospital, Mie, Japan
| | - Tsuyoshi Matsumoto
- Department of Obstetrics and Gynecology, Mie University Hospital, Mie, Japan
| | - Kota Okamoto
- Department of Obstetrics and Gynecology, Mie University Hospital, Mie, Japan
| | - Shintaro Maki
- Department of Obstetrics and Gynecology, Mie University Hospital, Mie, Japan
| | - Michiko Kubo-Kaneda
- Department of Obstetrics and Gynecology, Mie University Hospital, Mie, Japan
| | - Masafumi Nii
- Department of Obstetrics and Gynecology, Mie University Hospital, Mie, Japan
| | - Tomoaki Ikeda
- Department of Obstetrics and Gynecology, Mie University Hospital, Mie, Japan
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Miao S, Jia H, Huang W, Cheng K, Zhou W, Wang R. Subcutaneous fat predicts bone metastasis in breast cancer: A novel multimodality-based deep learning model. Cancer Biomark 2024; 39:171-185. [PMID: 38043007 PMCID: PMC11091603 DOI: 10.3233/cbm-230219] [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: 03/21/2023] [Accepted: 10/24/2023] [Indexed: 12/04/2023]
Abstract
OBJECTIVES This study explores a deep learning (DL) approach to predicting bone metastases in breast cancer (BC) patients using clinical information, such as the fat index, and features like Computed Tomography (CT) images. METHODS CT imaging data and clinical information were collected from 431 BC patients who underwent radical surgical resection at Harbin Medical University Cancer Hospital. The area of muscle and adipose tissue was obtained from CT images at the level of the eleventh thoracic vertebra. The corresponding histograms of oriented gradients (HOG) and local binary pattern (LBP) features were extracted from the CT images, and the network features were derived from the LBP and HOG features as well as the CT images through deep learning (DL). The combination of network features with clinical information was utilized to predict bone metastases in BC patients using the Gradient Boosting Decision Tree (GBDT) algorithm. Regularized Cox regression models were employed to identify independent prognostic factors for bone metastasis. RESULTS The combination of clinical information and network features extracted from LBP features, HOG features, and CT images using a convolutional neural network (CNN) yielded the best performance, achieving an AUC of 0.922 (95% confidence interval [CI]: 0.843-0.964, P< 0.01). Regularized Cox regression results indicated that the subcutaneous fat index was an independent prognostic factor for bone metastasis in breast cancer (BC). CONCLUSION Subcutaneous fat index could predict bone metastasis in BC patients. Deep learning multimodal algorithm demonstrates superior performance in assessing bone metastases in BC patients.
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Affiliation(s)
- Shidi Miao
- School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, Heilongjiang, China
| | - Haobo Jia
- School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, Heilongjiang, China
| | - Wenjuan Huang
- School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, Heilongjiang, China
- Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China
| | - Ke Cheng
- School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, Heilongjiang, China
| | - Wenjin Zhou
- School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, Heilongjiang, China
| | - Ruitao Wang
- Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China
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van den Bosch AAS, Pijnenborg JMA, Romano A, Winkens B, van der Putten LJM, Kruitwagen RFPM, Werner HMJ. The impact of adipose tissue distribution on endometrial cancer: a systematic review. Front Oncol 2023; 13:1182479. [PMID: 37313459 PMCID: PMC10258319 DOI: 10.3389/fonc.2023.1182479] [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: 03/08/2023] [Accepted: 05/11/2023] [Indexed: 06/15/2023] Open
Abstract
Introduction Endometrial cancer (EC) is the most common gynecological cancer with a rising incidence, attributed to advanced life expectancy and obesity. Adipose tissue (AT) is an important endocrine organ, and its metabolic activity is affected by the different anatomical distribution or locations. AT distribution influences a number of diseases. In EC, it remains unclear whether the type of AT distribution affects development or prognosis. This systematic review aimed to determine whether AT distribution is associated with patient characteristics, disease characteristics, and patient prognosis in EC. Materials and methods A search was conducted in Medline, MEDLINE EMBASE, and Cochrane Library. We included studies that enrolled patients with EC with any histological subtype and that distinguished between the visceral and subcutaneous AT compartment. In eligible studies, correlative analyses were performed for all outcome measures and AT distribution. Results Eleven retrospective studies were included, with a wide range of measurements for the visceral and subcutaneous AT compartments. AT distribution was found to be significantly correlated to a number of relevant (disease) characteristics including obesity measures, histological subtype, lymph node metastasis, and sex steroid levels. Five studies reported on survival parameters including overall survival, progression-free survival and disease-specific survival, and they found that increased VAT volume was statistically significantly associated with a worse survival. Discussion/conclusion This review demonstrates that there are significant correlations between AT distribution and prognosis, body mass index, sex steroid levels, and disease characteristics like histology. Well-designed, prospective, and larger-scale studies are needed to pinpoint these differences more specifically and understand how it can add in prediction and even therapy in EC.
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Affiliation(s)
- Anouk A. S. van den Bosch
- Department of Obstetrics and Gynecology, GROW-School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, Netherlands
| | | | - Andrea Romano
- Department of Obstetrics and Gynecology, GROW-School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Bjorn Winkens
- Department of Methodology and Statistics, Maastricht University, Maastricht, Netherlands
| | | | - Roy F. P. M. Kruitwagen
- Department of Obstetrics and Gynecology, GROW-School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Henrica M. J. Werner
- Department of Obstetrics and Gynecology, GROW-School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, Netherlands
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Yoshida H, Fujiwara K. Adipose tissue area is a predictive biomarker for the efficacy of pegylated liposomal doxorubicin in platinum-refractory/resistant ovarian cancer. Cancer Med 2023. [PMID: 37184128 PMCID: PMC10358198 DOI: 10.1002/cam4.6086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 05/01/2023] [Accepted: 05/04/2023] [Indexed: 05/16/2023] Open
Abstract
BACKGROUND Pegylated liposomal doxorubicin (PLD), an anthracycline agent, is widely used as a treatment option for platinum-refractory/resistant epithelial ovarian cancer (EOC). Although only a subset of patients with platinum-refractory/resistant EOC derive benefit from PLD, predictive biomarkers for patients who will respond to the drug have not yet been established. Here, we evaluated the relationship between adipose tissue status and PLD efficacy in patients with platinum-refractory/resistant EOC. METHODS Patients with platinum-refractory/resistant EOC who were treated with single-agent PLD were included in this retrospective cohort study. Adipose tissue areas including visceral adipose tissue area (VATA), subcutaneous adipose tissue area (SATA), and visceral to subcutaneous adipose tissue area ratio (VSR) were calculated prior to the initiation of PLD using computed tomography images. The associations of adipose tissue areas with objective response rate (ORR) and patient survival were evaluated. RESULTS Forty-four patients with platinum-refractory/resistant EOC who received single-agent PLD were included. Subjects were categorized into high and low groups according to the median VATA, SATA, and VSR values, and body mass index (BMI). The ORR of PLD was significantly lower in the VSR-high group than in the VSR-low group (p = 0.0089). Patients in the high VSR group showed significantly shorter progression-free survival (PFS) compared with patients in the low VSR group (median, 4.0 vs. 8.5 months; p = 0.020). In the multivariable analysis, high VSR was a significant prognostic factor for shorter PFS (hazard ratio, 2.07; 95% confidence interval, 1.05-4.19; p = 0.035). VATA, SATA, and BMI showed no significant association with ORR and survival of patients who received PLD. CONCLUSIONS High VSR is associated with lower ORR and shorter PFS in patients with platinum-refractory/resistant EOC who received single-agent PLD. VSR is a robust predictive biomarker for the efficacy of PLD.
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Affiliation(s)
- Hiroyuki Yoshida
- Department of Gynecologic Oncology, Saitama Medical University International Medical Center, Hidaka, Saitama, Japan
| | - Keiichi Fujiwara
- Department of Gynecologic Oncology, Saitama Medical University International Medical Center, Hidaka, Saitama, Japan
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Aichi M, Hasegawa S, Kurita Y, Shinoda S, Kato S, Mizushima T, Yokota NR, Miyagi E. Low skeletal muscle mass predicts poor prognosis for patients with stage III cervical cancer on concurrent chemoradiotherapy. Nutrition 2023; 109:111966. [PMID: 36731243 DOI: 10.1016/j.nut.2022.111966] [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: 06/20/2022] [Revised: 12/26/2022] [Accepted: 12/28/2022] [Indexed: 01/08/2023]
Abstract
OBJECTIVES The aim of this study was to evaluate whether low skeletal muscle mass before initial treatment is an independent prognostic factor defining overall survival (OS) and progression-free survival (PFS) in patients diagnosed with stage III cervical cancer. METHODS Body composition and clinicopathologic data were collected retrospectively. Information was extracted and analyzed from the medical records of 92 patients with stage III cervical cancer and undergoing concurrent chemoradiotherapy. Skeletal muscle mass in the L3 region was measured using cross-sectional computed tomography images and corrected for body surface area to calculate the skeletal muscle index (SMI). The primary outcome was OS, and the secondary outcome was PFS. Statistical analyses were performed using the Mann-Whitney U test. The Kaplan-Meier method was used to determine OS and PFS. Univariate and multivariate analyses were performed with Cox proportional hazard ratios. RESULTS The optimal cutoff value for predicting 5-y survival was 35.6 cm2/m2, defined based on data derived from 24 patients with a low SMI and 68 patients without a low SMI. A low SMI was significantly associated with shorter OS (hazard ratio [HR], 2.470; 95% confidence interval [CI], 1.208-5.053; P = 0.013), with no significant difference in PFS (HR, 1.651; 95% CI, 0.876-3.110; P = 0.121). Multivariate analysis also identified a low SMI as an independent OS-defining prognostic factor (HR, 2.473; 95% CI, 1.151-5.314; P = 0.020). CONCLUSION A low pretreatment SMI is an independent prognostic factor for OS in patients diagnosed with stage III cervical cancer and treated with concurrent chemoradiotherapy.
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Affiliation(s)
- Masahiro Aichi
- Department of Obstetrics and Gynecology, Yokohama City University School of Medicine Graduate School of Medicine, Yokohama, Japan
| | - Sho Hasegawa
- Department of Gastroenterology and Hepatology, Yokohama City University School of Medicine Graduate School of Medicine, Yokohama, Japan.
| | - Yusuke Kurita
- Department of Gastroenterology and Hepatology, Yokohama City University School of Medicine Graduate School of Medicine, Yokohama, Japan
| | - Satoru Shinoda
- Department of Biostatstics, Yokohama City University School of Medicine, Yokohama, Japan
| | - Shingo Kato
- Department of Gastroenterology and Hepatology, Yokohama City University School of Medicine Graduate School of Medicine, Yokohama, Japan
| | - Taichi Mizushima
- Department of Obstetrics and Gynecology, Yokohama City University School of Medicine Graduate School of Medicine, Yokohama, Japan
| | - Naho Ruiz Yokota
- Department of Obstetrics and Gynecology, Yokohama City University School of Medicine Graduate School of Medicine, Yokohama, Japan
| | - Etsuko Miyagi
- Department of Obstetrics and Gynecology, Yokohama City University School of Medicine Graduate School of Medicine, Yokohama, Japan
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Wang W, Huang WJ, Liu PP, Fu S, Zhang ML, Zhang X, Wang RT, Huang YX. Lower subcutaneous fat index predicts bone metastasis in breast cancer. Cancer Biomark 2023; 38:121-130. [PMID: 37545220 DOI: 10.3233/cbm-230011] [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] [Indexed: 08/08/2023]
Abstract
BACKGROUND Bone metastases affect 50% to 70% of breast cancer (BC) patients and have a high mortality rate. Adipose tissue loss plays a pivotal role in the progression of cancer. OBJECTIVE This study aims to evaluate the prognostic value of adipose tissue for bone metastasis in BC patients. METHODS 517 BC patients were studied retrospectively. Patients' characteristics before the surgery were collected. Quantitative measurements of the subcutaneous fat index (SFI) were performed at the level of the eleventh thoracic vertebra. In order to adjust for the heterogeneity between the low SFI and high SFI groups, propensity score matching (PSM) was used. The Kaplan-Meier method was used to estimate the 5-year bone metastatic incidence. The prognostic analysis was performed with the Cox regression models. RESULTS Compared with the patients without bone metastasis, the patients with bone metastasis had reduced SFI levels. In addition, Kaplan-Meier analysis revealed that patients with low SFI were more likely to develop bone metastases. The independent predictive value of SFI for bone metastases was confirmed by Cox regression analysis. The survival analysis was repeated after PSM with a 1:1 ratio, yielding similar results (P< 0.05). CONCLUSIONS SFI is an independent predictor of bone metastasis in BC patients.
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Affiliation(s)
- Wen Wang
- Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China
- Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China
| | - Wen-Juan Huang
- Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China
- Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China
| | - Ping-Ping Liu
- Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China
- Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China
| | - Shuang Fu
- Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China
| | - Meng-Lin Zhang
- Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China
| | - Xin Zhang
- Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China
| | - Rui-Tao Wang
- Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China
| | - Yuan-Xi Huang
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang, China
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Mohamed AA, Risse K, Stock J, Heinzel A, Mottaghy FM, Bruners P, Eble MJ. Body Composition as a Predictor of the Survival in Anal Cancer. Cancers (Basel) 2022; 14:cancers14184521. [PMID: 36139681 PMCID: PMC9496941 DOI: 10.3390/cancers14184521] [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: 08/12/2022] [Revised: 09/11/2022] [Accepted: 09/14/2022] [Indexed: 11/16/2022] Open
Abstract
Background and aim: Sarcopenia and body composition parameters such as visceral and subcutaneous adipose tissue and visceral-to-subcutaneous adipose tissue ratio have been shown to be relevant biomarkers for prognosis in patients with different types of cancer. However, these findings have not been well studied in anal cancer to date. Therefore, the aim of this study was to evaluate the prognostic value of different body composition parameters in patients undergoing radiation therapy for the treatment of anal cancer with curative intent. Material and Methods: After approval by the institutional ethical committee, we retrospectively identified 81 patients in our local registry, who received radical intensity-modulated radiotherapy for the management of anal squamous cell cancer (ASCC). Clinical information, including body mass index (BMI), survival, and toxicities outcome, were retrieved from the local hospital registry. Based on the pre-therapeutic computer tomography (CT), we measured the total psoas muscle area, visceral adipose tissue area (VAT), subcutaneous adipose tissue area (SAT), and visceral-to-subcutaneous adipose tissue area ratio (VSR). In addition to the classical prognostic factors as T-stage, N-stage, gender, and treatment duration, we analyzed the impact of body composition on the prognosis in univariate and multivariate analyses. Results: Sarcopenia was not associated with increased mortality in anal cancer patients, whereas increased BMI (≥27 kg/m2) and VSR (≥0.45) were significantly associated with worsened overall survival and cancer-specific survival in both univariate and multivariate analyses. VSR-not BMI-was statistically higher in males. Sarcopenia and VSR ≥ 0.45 were associated with advanced T-stages. None of the body composition parameters resulted in a significant increase in treatment-related toxicities. Conclusion: BMI and visceral adiposity are independent prognostic factors for the survival of patients with anal cancer. Measurements to treat adiposity at the time of diagnosis may be needed to improve the survival outcomes for the affected patients.
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Affiliation(s)
- Ahmed Allam Mohamed
- Department of Radiation Oncology, RWTH Aachen University Hospital, 52074 Aachen, Germany
- Center for Integrated Oncology Aachen, Bonn, Cologne and Duesseldorf (CIO ABCD), 52074 Aachen, Germany
- Correspondence:
| | - Kathrin Risse
- Department of Radiation Oncology, RWTH Aachen University Hospital, 52074 Aachen, Germany
- Center for Integrated Oncology Aachen, Bonn, Cologne and Duesseldorf (CIO ABCD), 52074 Aachen, Germany
| | - Jennifer Stock
- Department of Radiation Oncology, RWTH Aachen University Hospital, 52074 Aachen, Germany
- Center for Integrated Oncology Aachen, Bonn, Cologne and Duesseldorf (CIO ABCD), 52074 Aachen, Germany
| | - Alexander Heinzel
- Center for Integrated Oncology Aachen, Bonn, Cologne and Duesseldorf (CIO ABCD), 52074 Aachen, Germany
- Department of Nuclear Medicine, RWTH Aachen University Hospital, 52074 Aachen, Germany
| | - Felix M. Mottaghy
- Center for Integrated Oncology Aachen, Bonn, Cologne and Duesseldorf (CIO ABCD), 52074 Aachen, Germany
- Department of Nuclear Medicine, RWTH Aachen University Hospital, 52074 Aachen, Germany
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center (MUMC+), 6229 HX Maastricht, The Netherlands
| | - Philipp Bruners
- Center for Integrated Oncology Aachen, Bonn, Cologne and Duesseldorf (CIO ABCD), 52074 Aachen, Germany
- Department of Diagnostic and Interventional Radiology, RWTH Aachen University Hospital, 52074 Aachen, Germany
| | - Michael J. Eble
- Department of Radiation Oncology, RWTH Aachen University Hospital, 52074 Aachen, Germany
- Center for Integrated Oncology Aachen, Bonn, Cologne and Duesseldorf (CIO ABCD), 52074 Aachen, Germany
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