دورية أكاديمية
أعرض في EDS

CT-based muscle and adipose measurements predict prognosis in patients with digestive system malignancy.

التفاصيل البيبلوغرافية
العنوان: CT-based muscle and adipose measurements predict prognosis in patients with digestive system malignancy.
المؤلفون: Zheng K; Cancer Center, The First Hospital of Jilin University, Xinmin St No 126, Changchun, 130021, Jilin, China., Liu X; Cancer Center, The First Hospital of Jilin University, Xinmin St No 126, Changchun, 130021, Jilin, China., Li Y; College of Instrumentation and Electrical Engineering, Jilin University, Changchun, Jilin, China., Cui J; Cancer Center, The First Hospital of Jilin University, Xinmin St No 126, Changchun, 130021, Jilin, China. cuijw@jlu.edu.cn., Li W; Cancer Center, The First Hospital of Jilin University, Xinmin St No 126, Changchun, 130021, Jilin, China. liwei66@jlu.edu.cn.
المصدر: Scientific reports [Sci Rep] 2024 Jun 06; Vol. 14 (1), pp. 13036. Date of Electronic Publication: 2024 Jun 06.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
أسماء مطبوعة: Original Publication: London : Nature Publishing Group, copyright 2011-
مواضيع طبية MeSH: Adipose Tissue*/diagnostic imaging , Adipose Tissue*/pathology , Tomography, X-Ray Computed*/methods , Digestive System Neoplasms*/pathology , Digestive System Neoplasms*/diagnostic imaging , Digestive System Neoplasms*/mortality , Muscle, Skeletal*/diagnostic imaging , Muscle, Skeletal*/pathology , Body Composition*, Humans ; Male ; Female ; Middle Aged ; Prognosis ; Retrospective Studies ; Aged ; Adult ; ROC Curve ; Proportional Hazards Models ; Nomograms
مستخلص: 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.
(© 2024. The Author(s).)
References: Sports Med. 2022 Mar;52(3):463-479. (PMID: 34822137)
CA Cancer J Clin. 2021 May;71(3):209-249. (PMID: 33538338)
Cancer Epidemiol Biomarkers Prev. 2017 Jan;26(1):21-29. (PMID: 27986655)
Int J Clin Oncol. 2022 Feb;27(2):434-440. (PMID: 34716844)
Clin Nutr. 2019 Feb;38(1):1-9. (PMID: 30181091)
J Cachexia Sarcopenia Muscle. 2020 Oct;11(5):1283-1290. (PMID: 32725772)
Nat Rev Endocrinol. 2014 Aug;10(8):455-465. (PMID: 24935119)
Gastroenterology. 2015 May;148(6):1244-60.e16. (PMID: 25575572)
BMC Cancer. 2021 Oct 26;21(1):1148. (PMID: 34702196)
Circulation. 2018 Mar 13;137(11):1176-1191. (PMID: 29530893)
Ann Oncol. 2018 Feb 1;29(suppl_2):ii1-ii9. (PMID: 29506228)
BMC Musculoskelet Disord. 2018 Jul 28;19(1):271. (PMID: 30055599)
Nutrition. 2021 May;85:111135. (PMID: 33556785)
Clin Nutr. 2021 Jun;40(6):4022-4028. (PMID: 34144412)
Sports Med. 2022 May;52(5):1009-1027. (PMID: 35118634)
Nutrients. 2022 Aug 22;14(16):. (PMID: 36014952)
Cells. 2019 Jun 30;8(7):. (PMID: 31262098)
JAMA Netw Open. 2018 Jul 6;1(3):e180650. (PMID: 30646023)
Acta Physiol (Oxf). 2021 Jan;231(1):e13516. (PMID: 32478975)
J Urol. 2018 Jul;200(1):114-120. (PMID: 29366641)
Qual Life Res. 2011 Jun;20(5):653-64. (PMID: 21110123)
Ann Surg Oncol. 2018 Sep;25(9):2669-2680. (PMID: 30006691)
Clin Nutr. 2023 Mar;42(3):255-268. (PMID: 36716618)
Pharm Res. 2008 Sep;25(9):2097-116. (PMID: 18626751)
J Nutr Health Aging. 2020;24(2):166-171. (PMID: 32003406)
Cardiovasc Diabetol. 2018 Apr 10;17(1):55. (PMID: 29636045)
J Gastrointest Oncol. 2021 Oct;12(5):2073-2081. (PMID: 34790375)
Age Ageing. 2019 Jul 1;48(4):601. (PMID: 31081853)
Eur J Clin Nutr. 2002 Aug;56(8):779-85. (PMID: 12122555)
J Clin Endocrinol Metab. 2020 Apr 1;105(4):. (PMID: 31875910)
Medicine (Baltimore). 2016 Mar;95(13):e3164. (PMID: 27043677)
Clin Nutr. 2021 Nov;40(11):5631-5638. (PMID: 34662848)
Nat Rev Cancer. 2014 Nov;14(11):754-62. (PMID: 25291291)
Eur Heart J. 2019 Sep 7;40(34):2849-2855. (PMID: 31256194)
Acta Physiol (Oxf). 2014 Mar;210(3):489-97. (PMID: 24393306)
Nutr Metab Cardiovasc Dis. 2016 Dec;26(12):1088-1095. (PMID: 27776918)
Arch Gerontol Geriatr. 2022 Jan-Feb;98:104534. (PMID: 34601314)
Endocr Rev. 2020 May 1;41(3):. (PMID: 32128581)
Clin Cancer Res. 2004 Nov 1;10(21):7252-9. (PMID: 15534099)
J Ren Nutr. 2021 Jul;31(4):342-350. (PMID: 33257228)
Horm Mol Biol Clin Investig. 2016 Apr 1;26(1):25-42. (PMID: 26910750)
Clin Breast Cancer. 2020 Feb;20(1):e89-e98. (PMID: 31378534)
Eur J Oncol Nurs. 2020 Feb;44:101680. (PMID: 31756674)
J Cachexia Sarcopenia Muscle. 2020 Jun;11(3):756-767. (PMID: 32096923)
Metabolism. 2014 Sep;63(9):1084-92. (PMID: 25038727)
Oral Oncol. 2017 Aug;71:26-33. (PMID: 28688687)
Lancet Diabetes Endocrinol. 2020 Jul;8(7):616-627. (PMID: 32559477)
Cell Metab. 2019 Apr 2;29(4):844-855.e3. (PMID: 30595477)
معلومات مُعتمدة: 2016YFC1303804 National Key R&D Program of China
فهرسة مساهمة: Keywords: Adipose tissue; Body composition analysis; Computed tomography; Digestive system cancer; Skeletal muscle
تواريخ الأحداث: Date Created: 20240606 Date Completed: 20240606 Latest Revision: 20240609
رمز التحديث: 20240609
مُعرف محوري في PubMed: PMC11156914
DOI: 10.1038/s41598-024-63806-1
PMID: 38844600
قاعدة البيانات: MEDLINE
الوصف
تدمد:2045-2322
DOI:10.1038/s41598-024-63806-1