Ming Yang1,2,3, Qi Zhang1,2,3, Yizhong Ge1,2,3,4, Meng Tang1,2,3, Chunlei Hu1,2,3, Ziwen Wang1,2,3, Xi Zhang1,2,3, Mengmeng Song1,2,3, Guotian Ruan1,2,3, Xiaowei Zhang1,2,3, Tong Liu1,2,3, Hailun Xie1,2,3, Heyang Zhang1,2,3, Kangping Zhang1,2,3, Qinqin Li1,2,3, Xiangrui Li1,2,3, Xiaoyue Liu1,2,3, Shiqi Lin1,2,3,4, Hanping Shi1,2,3. 1. Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People's Republic of China. 2. Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, People's Republic of China. 3. Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, People's Republic of China. 4. The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China.
Abstract
Purpose: The incidence, progression, and prognosis of cancer could be affected by inflammation and nutrition. Female patients have different inflammatory and nutritional states depending on their age and tumor types. It is important to screen for suitable prognostic indicators in female patients with cancer of different ages and tumor types. Patients and Methods: Baseline clinicopathologic and laboratory characteristics of 1502 female patients with cancer were obtained from a multicenter cohort study. Concordance indices (C-indices) were used to evaluate the prediction accuracy of following inflammation- and nutrition-based indicators: advanced lung cancer inflammation index (ALI), systemic immune inflammation index (SII), modified geriatric nutritional risk index (mGNRI), albumin-to-globulin ratio (AGR), prognostic nutritional index (PNI), lymphocyte-to-C-reactive protein ratio (LCR), controlling nutritional status score (CONUT), modified Glasgow prognostic score (mGPS), and lymphocyte-to-C-reactive protein score (LCS). Results: The most suitable indicators in different female populations with cancer had C-indices as follows: LCR (0.668; 95% CI, 0.644-0.693) for all females; AGR (0.681; 95% CI, 0.619-0.743) for young females; LCR (0.667; 95% CI, 0.628-0.706) for middle-aged females; ALI (0.597; 95% CI, 0.574-0.620) for elderly females; LCR (0.684; 95% CI, 0.621-0.747) for females with reproductive system cancer; and ALI (0.652; 95% CI, 0.624-0.680) for females with non-reproductive system cancer. Conclusion: The most suitable indicators for the different female populations with cancer are summarized as follows: LCR for all females, AGR for young females, LCR for middle-aged females, ALI for elderly females, LCR for females with reproductive system cancer, and ALI for females with non-reproductive system cancer.
Purpose: The incidence, progression, and prognosis of cancer could be affected by inflammation and nutrition. Female patients have different inflammatory and nutritional states depending on their age and tumor types. It is important to screen for suitable prognostic indicators in female patients with cancer of different ages and tumor types. Patients and Methods: Baseline clinicopathologic and laboratory characteristics of 1502 female patients with cancer were obtained from a multicenter cohort study. Concordance indices (C-indices) were used to evaluate the prediction accuracy of following inflammation- and nutrition-based indicators: advanced lung cancer inflammation index (ALI), systemic immune inflammation index (SII), modified geriatric nutritional risk index (mGNRI), albumin-to-globulin ratio (AGR), prognostic nutritional index (PNI), lymphocyte-to-C-reactive protein ratio (LCR), controlling nutritional status score (CONUT), modified Glasgow prognostic score (mGPS), and lymphocyte-to-C-reactive protein score (LCS). Results: The most suitable indicators in different female populations with cancer had C-indices as follows: LCR (0.668; 95% CI, 0.644-0.693) for all females; AGR (0.681; 95% CI, 0.619-0.743) for young females; LCR (0.667; 95% CI, 0.628-0.706) for middle-aged females; ALI (0.597; 95% CI, 0.574-0.620) for elderly females; LCR (0.684; 95% CI, 0.621-0.747) for females with reproductive system cancer; and ALI (0.652; 95% CI, 0.624-0.680) for females with non-reproductive system cancer. Conclusion: The most suitable indicators for the different female populations with cancer are summarized as follows: LCR for all females, AGR for young females, LCR for middle-aged females, ALI for elderly females, LCR for females with reproductive system cancer, and ALI for females with non-reproductive system cancer.
Authors: Shanshan Deng; Marco Ramos-Castaneda; Walter V Velasco; Michael J Clowers; Berenice A Gutierrez; Oscar Noble; Yiping Dong; Melody Zarghooni; Lucero Alvarado; Mauricio S Caetano; Shuanying Yang; Edwin J Ostrin; Carmen Behrens; Ignacio I Wistuba; Laura P Stabile; Humam Kadara; Stephanie S Watowich; Seyed Javad Moghaddam Journal: Carcinogenesis Date: 2020-11-13 Impact factor: 4.944
Authors: Emma M Conway; Larissa A Pikor; Sonia H Y Kung; Melisa J Hamilton; Stephen Lam; Wan L Lam; Kevin L Bennewith Journal: Am J Respir Crit Care Med Date: 2016-01-15 Impact factor: 21.405