1
|
Kudou K, Hasuda H, Tsuda Y, Kusumoto E, Uehara H, Yoshida R, Koga T, Yamashita YI, Sakaguchi Y, Kusumoto T. Prognostic significance of a novel index score based on the inflammation-based prognostic scores of patients with colorectal cancer. J Gastroenterol Hepatol 2023; 38:1750-1759. [PMID: 37248681 DOI: 10.1111/jgh.16223] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 05/02/2023] [Accepted: 05/06/2023] [Indexed: 05/31/2023]
Abstract
BACKGROUND AND AIM This study aimed to clarify the prognostic value of various inflammation-based prognostic scores (IBPSs) in patients who underwent radical surgery for colorectal cancer (CRC) and to develop a novel prognostic index using IBPSs and other predictive factors. METHODS Data of 1157 patients who underwent radical surgery for CRC were reviewed. The predictive value of various IBPSs in determining the CRC prognosis was compared. A novel index score based on the IBPSs and other parameters that were associated with survival in patients with CRC was established, and its usefulness was evaluated. RESULTS The patients were randomly divided into the training (n = 694) and validation (n = 463) sets. Male sex (P = 0.0001), age ≥ 75 years (P < 0.0001), a carcinoembryonic antigen (CEA) level of > 5 (P = 0.0009), a C-reactive protein/albumin ratio (CAR) of ≥ 0.04 (P = 0.0033), and a prognostic nutritional index (PNI) of < 43.1 (P = 0.0004) were poor independent prognostic factors of overall survival. The novel index score was calculated based on the scores of these five prognostic factors. The Kaplan-Meier survival curves showed that the CRC patients with higher novel index scores in the training and validation datasets had poorer overall survival. CONCLUSIONS CAR and PNI were superior to other IBPSs for predicting the prognosis of CRC patients. The novel index score established based on sex, age, CEA level, CAR, and PNI can predict the prognosis of CRC with more precise and clearer stratification than the individual parameters alone.
Collapse
Affiliation(s)
- Kensuke Kudou
- Department of Surgery, Iizuka Hospital, Fukuoka, Japan
- Department of Gastroenterological Surgery, Clinical Research Institute Cancer Research Division, National Hospital Organization Kyushu Medical Center, Fukuoka, Japan
| | - Hirofumi Hasuda
- Department of Gastroenterological Surgery, Clinical Research Institute Cancer Research Division, National Hospital Organization Kyushu Medical Center, Fukuoka, Japan
| | - Yasuo Tsuda
- Department of Gastroenterological Surgery, Clinical Research Institute Cancer Research Division, National Hospital Organization Kyushu Medical Center, Fukuoka, Japan
| | - Eiji Kusumoto
- Department of Gastroenterological Surgery, Clinical Research Institute Cancer Research Division, National Hospital Organization Kyushu Medical Center, Fukuoka, Japan
| | - Hideo Uehara
- Department of Gastroenterological Surgery, Clinical Research Institute Cancer Research Division, National Hospital Organization Kyushu Medical Center, Fukuoka, Japan
| | - Rintaro Yoshida
- Department of Gastroenterological Surgery, Clinical Research Institute Cancer Research Division, National Hospital Organization Kyushu Medical Center, Fukuoka, Japan
| | - Tadashi Koga
- Department of Surgery, Iizuka Hospital, Fukuoka, Japan
| | | | - Yoshihisa Sakaguchi
- Department of Gastroenterological Surgery, Clinical Research Institute Cancer Research Division, National Hospital Organization Kyushu Medical Center, Fukuoka, Japan
| | - Tetsuya Kusumoto
- Department of Gastroenterological Surgery, Clinical Research Institute Cancer Research Division, National Hospital Organization Kyushu Medical Center, Fukuoka, Japan
| |
Collapse
|
2
|
Wang H, Yin X, Fang T, Lou S, Han B, Gao J, Wang Y, Zhang D, Wang X, Lu Z, Wu J, Zhang J, Wang Y, Zhang Y, Xue Y. Development and Validation of an Age-Related Gastric Cancer-Specific Immune Index. J Inflamm Res 2022; 15:6393-6407. [DOI: 10.2147/jir.s388792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 11/08/2022] [Indexed: 11/23/2022] Open
|
3
|
Tian S, Cao Y, Duan Y, Liu Q, Peng P. Gustave Roussy Immune Score as a Novel Prognostic Scoring System for Colorectal Cancer Patients: A Propensity Score Matching Analysis. Front Oncol 2021; 11:737283. [PMID: 34917499 PMCID: PMC8669102 DOI: 10.3389/fonc.2021.737283] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 11/08/2021] [Indexed: 12/26/2022] Open
Abstract
Aim The Gustave Roussy Immune Score (GRIm-Score) was originally designed to select cancer patients for immunotherapy, and later was reported to be a novel prognostic scoring system in lung cancer and esophageal cancer. This study was aimed to determine the prognostic role and predictive performance of GRIm-Score in colorectal cancer (CRC) CRC patients. Methods We conducted a single-institution study of 1,579 adult CRC patients receiving surgical removal, and those patients were divided into low GRIm-Score group (scores 0, 1) and high GRIm-Score group (scores 2, 3). Propensity score matching (PSM) was executed to balance the potential confounding factors between the two groups. Survival and time-dependent receiver operating characteristic (Td-ROC) analyses were applied to depict the prognostic role and predictive significance of GRIm-Score in CRC patients. Results There were 200 cases CRC patients in high GRIm-Score group and 1,379 cases in low GRIm-Score group. CRC patients with high GRIm-Score correspond with higher level of CEA, CA125, and inflammatory indexes, such as NLR, PLR, SII, PNI, and ALRI. Correlation analysis exhibited that GRIm-Score correlated well with the established inflammatory indexes. Survival analysis revealed that CRC patients in high GRIm-Score group showed worse overall survival (OS, P <0.0001) and disease-free survival (DFS, P <0.0001) compared with those in low GRIm-Score group. Results from multivariate Cox regression implicated that high GRIm-Score was not only a potent prognostic index for unfavorable OS (HR = 1.622, 95%CI: 1.118–2.355, P = 0.0109), but also a potent risk factor for worse DFS (HR = 1.743, 95%CI: 1.188–2.558, P = 0.0045). Td-ROC analysis demonstrated that GRIm-Score exhibited the superior discriminatory power in the prediction of OS and DFS when compared to SII, PNI, and ALRI. Such strong associations between high levels of preoperative GRIm-Score and unfavorable survival outcomes remained robust after PSM analysis. Conclusion GRIm-Score, a novel inflammatory and nutritional risk scoring system, is a potent prognostic index in CRC patients receiving surgical removal. GRIm-Score can be used as an effective and simplified risk stratification tool for postoperative survival prediction of CRC patients.
Collapse
Affiliation(s)
- Shan Tian
- Department of Infectious Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yinghao Cao
- Department of Colorectal Surgery and Gastroenterology, Wuhan Union Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Yanran Duan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qi Liu
- Department of Gastroenterology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Pailan Peng
- Department of Gastroenterology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| |
Collapse
|
4
|
Bai S, Fang L, Xie J, Bai H, Wang W, Chen JJ. Potential Biomarkers for Diagnosing Major Depressive Disorder Patients with Suicidal Ideation. J Inflamm Res 2021; 14:495-503. [PMID: 33654420 PMCID: PMC7910095 DOI: 10.2147/jir.s297930] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 02/03/2021] [Indexed: 12/15/2022] Open
Abstract
Background Major depressive disorder (MDD) and suicide are two major health problems, but there are still no objective methods to diagnose MDD or suicidal ideation (SI). This study was conducted to identify potential biomarkers for diagnosing MDD patients with SI. Methods First-episode drug-naïve MDD patients with SI and demographics-matched healthy controls (HCs) were recruited. First-episode drug-naïve MDD patients without SI were also included. The serum lipids, C-reactive protein (CRP), transferring (TRSF), homocysteine (HCY) and alpha 1-antitrypsin (AAT) in serum were detected. The univariate and multivariate statistical analyses were used to identify and validate the potential biomarkers. Results The 86 HCs, 53 MDD patients with SI and 20 MDD patients without SI were included in this study. Four potential biomarkers were identified: AAT, TRSF, high-density lipoprotein cholesterol (HDLC), and apolipoprotein A1 (APOA1). After one month treatment, the levels of AAT and APOA1 were significantly improved. The panel consisting of these potential biomarkers had an excellent diagnostic performance, yielding an area under the ROC curve (AUC) of 0.994 and 0.990 in the training and testing set, respectively. Moreover, this panel could effectively distinguish MDD patients with SI from MDD patients without SI (AUC=0.928). Conclusion These results showed that these potential biomarkers could facilitate the development of an objective method for diagnosing MDD patients with SI, and the decreased AAT levels in MDD patients might lead to the appearance of SI by resulting in the elevated inflammation.
Collapse
Affiliation(s)
- Shunjie Bai
- Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China
| | - Liang Fang
- Department of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing, People's Republic of China.,Chongqing Key Laboratory of Cerebral Vascular Disease Research, Yongchuan Hospital of Chongqing Medical University, Chongqing, People's Republic of China
| | - Jing Xie
- Department of Endocrinology and Nephrology, The Fourth People's Hospital of Chongqing, Chongqing, People's Republic of China
| | - Huili Bai
- Department of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China
| | - Wei Wang
- Department of Neurology, The Affiliated Hospital of Guizhou Medical University, Guiyang, People's Republic of China
| | - Jian-Jun Chen
- Institute of Life Sciences, Chongqing Medical University, Chongqing, People's Republic of China
| |
Collapse
|
5
|
Chen J, Lv YN, Li XB, Xiong JJ, Liang HT, Xie L, Wan CY, Chen YQ, Wang HS, Liu P, Zheng HQ. Urinary Metabolite Signatures for Predicting Elderly Stroke Survivors with Depression. Neuropsychiatr Dis Treat 2021; 17:925-933. [PMID: 33790561 PMCID: PMC8007561 DOI: 10.2147/ndt.s299835] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 03/07/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Post-stroke depression (PSD) is a major complication in stroke survivors, especially in elderly stroke survivors. But there are still no objective methods to diagnose depression in elderly stroke survivors. Thus, this study was conducted to identify potential biomarkers for diagnosing elderly PSD subjects. METHODS Elderly (60 years or older) stroke survivors with depression were assigned into the PSD group, and elderly stroke survivors without depression and elderly healthy controls (HCs) were assigned into the non-depressed group. Urinary metabolite signatures obtained from gas chromatography-mass spectrometry (GC-MS)-based metabolomic platform were collected. Both univariate and multivariate statistical analysis were used to find the differential urinary metabolites between the two groups. RESULTS The 78 elderly HCs, 122 elderly stroke survivors without depression and 124 elderly PSD subjects were included. A set of 13 differential urinary metabolites responsible for distinguishing PSD subjects from non-depressed subjects were found. The Phenylalanine, tyrosine and tryptophan biosynthesis, Phenylalanine metabolism and Galactose metabolism were found to be significantly changed in elderly PSD subjects. The phenylalanine was significantly negatively correlated with age and depressive symptoms. Meanwhile, a biomarker panel consisting of 3-hydroxyphenylacetic acid, tyrosine, phenylalanine, sucrose, palmitic acid, glyceric acid, azelaic acid and α-aminobutyric acid was identified. CONCLUSION These results provided candidate molecules for developing objective methods to diagnose depression in elderly stroke survivors, suggested that taking supplements of phenylalanine might be an effective method to prevent depression in elderly stroke survivors, and would be helpful for future revealing the pathophysiological mechanism of PSD.
Collapse
Affiliation(s)
- Jin Chen
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Yan-Ni Lv
- Department of Pharmacy, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Xiao-Bing Li
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Jia-Jun Xiong
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Hui-Ting Liang
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Liang Xie
- Department of Neurology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Chen-Yi Wan
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Yun-Qing Chen
- Department of Neurology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Han-Sen Wang
- Department of Neurology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Pan Liu
- Department of Neurology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People's Republic of China
| | - He-Qing Zheng
- Department of Neurology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People's Republic of China
| |
Collapse
|