Literature DB >> 35294649

Preoperative Muscle-Adipose Index: A New Prognostic Factor for Gastric Cancer.

Jun Lu1,2,3,4, Zhen Xue1,2,3,4, Jian-Gao Xie5, Bin-Bin Xu1,2,3,4, Hai-Bo Yang6, Dong Wu1,2,3,4, Hua-Long Zheng1,2,3,4, Jian-Wei Xie1,2,3,4, Jia-Bin Wang1,2,3,4, Jian-Xian Lin1,2,3,4, Qi-Yue Chen1,2,3,4, Ping Li1,2,3,4, Chang-Ming Huang7,8,9,10, Chao-Hui Zheng11,12,13,14.   

Abstract

BACKGROUND: Studies have shown that traditional nutrition indicators and body composition indicators are closely related to prognosis after radical gastric cancer (GC) surgery. However, the effect of the combined muscle and adipose composite on the prognosis of GC has not been reported.
METHODS: The clinicopathological data of 514 patients with GC were retrospectively analyzed. The skeletal muscle adipose tissue were measured by preoperative CT images to obtain the muscle index and adipose index. X-tile software was used to determine the diagnostic threshold of muscle-adipose imbalance.
RESULTS: The 5-year OS and RFS of the muscle-adipose imbalanced group were significantly worse than those of the balanced group. Multivariate analysis showed that muscle-adipose imbalance and the CONUT score were independent prognostic factors of OS and RFS (p < 0.05). The nuclear density curve showed that the recurrence risk of the muscle-adipose imbalanced group was higher than that of the balanced group, whereas the nuclear density curve of the CONUT score was confounded. Incorporating the muscle-adipose index into cTNM has the same prognostic performance as the pTNM staging system. Chemotherapy-benefit analysis showed that stage II/III patients in the muscle-adipose balanced group could benefit from adjuvant chemotherapy.
CONCLUSIONS: The preoperative muscle-adipose index discovered for the first time is a new independent prognostic factor that affects the prognosis with GC. In addition, the preoperative muscle-adipose index is better than traditional nutrition and body composition indicators in terms of the prognostic evaluation of GC patients and the predictive value of recurrence risk.
© 2022. Society of Surgical Oncology.

Entities:  

Year:  2022        PMID: 35294649     DOI: 10.1245/s10434-022-11509-0

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  32 in total

1.  Controlling Nutritional Status (CONUT) score is a prognostic marker for gastric cancer patients after curative resection.

Authors:  Daisuke Kuroda; Hiroshi Sawayama; Junji Kurashige; Masaaki Iwatsuki; Tsugio Eto; Ryuma Tokunaga; Yuki Kitano; Kensuke Yamamura; Mayuko Ouchi; Kenichi Nakamura; Yoshifumi Baba; Yasuo Sakamoto; Yoichi Yamashita; Naoya Yoshida; Akira Chikamoto; Hideo Baba
Journal:  Gastric Cancer       Date:  2017-06-27       Impact factor: 7.370

Review 2.  Nutritional intervention for improving treatment tolerance in cancer patients.

Authors:  Agostino Paccagnella; Ildamaria Morassutti; Giovanni Rosti
Journal:  Curr Opin Oncol       Date:  2011-07       Impact factor: 3.645

3.  Impact of intra-abdominal fat on surgical outcome and overall survival of patients with gastric cancer.

Authors:  J H Kim; H M Chin; S S Hwang; K H Jun
Journal:  Int J Surg       Date:  2014-01-25       Impact factor: 6.071

4.  Naples Prognostic Score, Based on Nutritional and Inflammatory Status, is an Independent Predictor of Long-term Outcome in Patients Undergoing Surgery for Colorectal Cancer.

Authors:  Gennaro Galizia; Eva Lieto; Annamaria Auricchio; Francesca Cardella; Andrea Mabilia; Vlasta Podzemny; Paolo Castellano; Michele Orditura; Vincenzo Napolitano
Journal:  Dis Colon Rectum       Date:  2017-12       Impact factor: 4.585

5.  Nutritional status and nutritional risk in patients with neuroendocrine tumors.

Authors:  Mette Borre; Gitte Aarøe Dam; Anne Wilkens Knudsen; Henning Grønbaek
Journal:  Scand J Gastroenterol       Date:  2018-01-26       Impact factor: 2.423

6.  Predictive Potential of Preoperative Nutritional Status in Long-Term Outcome Projections for Patients with Gastric Cancer.

Authors:  Katsunobu Sakurai; Masaichi Ohira; Tatsuro Tamura; Takahiro Toyokawa; Ryosuke Amano; Naoshi Kubo; Hiroaki Tanaka; Kazuya Muguruma; Masakazu Yashiro; Kiyoshi Maeda; Kosei Hirakawa
Journal:  Ann Surg Oncol       Date:  2015-08-26       Impact factor: 5.344

7.  Impact of Malnutrition After Gastrectomy for Gastric Cancer on Long-Term Survival.

Authors:  Keiichi Fujiya; Taiichi Kawamura; Katsuhiro Omae; Rie Makuuchi; Tomoyuki Irino; Masanori Tokunaga; Yutaka Tanizawa; Etsuro Bando; Masanori Terashima
Journal:  Ann Surg Oncol       Date:  2018-01-31       Impact factor: 5.344

8.  Prognostic significance of body mass index and prognostic nutritional index in stage II/III gastric cancer.

Authors:  Su Hyung Park; Sejin Lee; Jeong Ho Song; Seohee Choi; Minah Cho; In Gyu Kwon; Taeil Son; Hyoung-Il Kim; Jae-Ho Cheong; Woo Jin Hyung; Seung Ho Choi; Sung Hoon Noh; Yoon Young Choi
Journal:  Eur J Surg Oncol       Date:  2019-10-18       Impact factor: 4.424

9.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

10.  Prognostic nutritional index as a prognostic biomarker for survival in digestive system carcinomas.

Authors:  Yang Zhao; Peng Xu; Huafeng Kang; Shuai Lin; Meng Wang; Pengtao Yang; Cong Dai; Xinghan Liu; Kang Liu; Yi Zheng; Zhijun Dai
Journal:  Oncotarget       Date:  2016-12-27
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