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Sun J, Dong Y, Wang D, Yang Y, Zhou Z, Zhu M, Wang T, Teng L. The association between inflammation-related biomarkers and the subtypes of cancer-related cognitive impairment in colorectal cancer patients: A latent profile analysis. Eur J Oncol Nurs 2024; 68:102493. [PMID: 38134496 DOI: 10.1016/j.ejon.2023.102493] [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: 10/06/2023] [Revised: 12/06/2023] [Accepted: 12/10/2023] [Indexed: 12/24/2023]
Abstract
PURPOSE Cancer-related cognitive impairment (CRCI) has garnered considerable attention, yet limited research has delved into nuanced distinctions among varying degrees of CRCI in colorectal cancer survivors. This study aimed to identify distinct subgroups based on the patterns of CRCI, assess the heterogeneity among different subgroups, and investigate the potential correlations between the subgroups of CRCI and inflammation-related biomarkers. METHODS 268 colorectal cancer patients were enrolled in this cross-sectional study, followed by the Functional Assessment of Cancer Therapy-Cognitive Function. The determination of CRCI subgroups was accomplished by the latent profile analysis (LPA). The effects of inflammation-related biomarkers on CRCI were examined using the binary logistic regression analysis. The receiver operating characteristic (ROC) curves assessed the diagnostic efficacy of inflammation-related biomarkers. RESULTS Two latent profiles were identified: CRCI (n = 64, 23.88%) and non-CRCI (n = 204, 76.12%). Independent factors for CRCI in colorectal cancer patients were SIRI (OR = 3.248, 95%CI [1.197-8.807], P = 0.021) and ALI (OR = 0.962, 95%CI [0.937-0.989], P = 0.005). The areas under the curve (AUCs) for SIRI and ALI in predicting CRCI were 0.781 and 0.774, with the optimal cut-off values being 0.70 and 37.04, respectively. CONCLUSIONS Colorectal cancer patients exhibited divergent cognitive performance profiles, categorized into two subgroups based on LPA. SIRI and ALI were identified as independent factors for CRCI, demonstrating strong diagnostic accuracy. These two inflammation-related biomarkers may potentially be novel indicators to identify and manage the development of CRCI among colorectal cancer patients.
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Affiliation(s)
- Jun Sun
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, Jiangsu, China
| | - Yajun Dong
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, Jiangsu, China
| | - Danhui Wang
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, Jiangsu, China
| | - Yiting Yang
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, Jiangsu, China
| | - Zhou Zhou
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, Jiangsu, China
| | - Min Zhu
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, Jiangsu, China
| | - Teng Wang
- Department of Oncology, Affiliated Hospital of Jiangnan University, Wuxi 214122, Jiangsu, China
| | - Liping Teng
- Wuxi School of Medicine, Jiangnan University, Wuxi 214122, Jiangsu, China.
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Chen B, Zhou J, Ma Y, Sun Q, Ren J, Wang D. Evaluation of multiple biological indicators for the combined diagnosis of metastases from colorectal cancer-a retrospective study based on 1163 patients. World J Surg Oncol 2023; 21:229. [PMID: 37501060 PMCID: PMC10375667 DOI: 10.1186/s12957-023-03108-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Accepted: 07/12/2023] [Indexed: 07/29/2023] Open
Abstract
OBJECTIVE This study aimed to investigate the efficacy of inflammatory markers (NLR, PLR) combined with tumor markers (CA50, CA199, CEA) in the diagnosis of colorectal cancer metastasis by a single-center retrospective study. METHODS A total of 1163 CRC patients who received treatments in our hospital from January 2017 to December 2021 were enrolled retrospectively. Patients were grouped according to the absence of metastasis. The separate efficacy of tumor markers, NLR and PLR, was evaluated in the diagnosis of metastasis of colorectal cancer using ROC curve analysis, and their optimal cut-off values for distant metastases from colorectal cancer were determined. The area under the ROC curve (AUC) of the tumor markers combined with NLR and PLR was calculated by binary logistic regression analysis to evaluate the diagnostic efficacy of metastasis of colorectal cancer. In addition, patients were divided into two groups of high and low levels according to the optimal cut-off values, and the effects of NLR, PLR, and tumor markers on distant metastasis of colorectal cancer were evaluated using multiple logistic regression analysis. RESULT The abnormal rate of CA50, CA199, CEA, NLR, and PLR in two subgroupsIt was statistically significant (P < 0.05). After AUC testifying, the diagnostic efficacy of NLR and PLR was equivalent to that of tumor marker (P > 0.05). In assessment of liver metastasis, peritoneal metastasis, and multiple metastasis, AUC of NLR and PLR with CRC-specific tumor markers showed higher predictive efficacy than AUC without combined NLR nor PLR. The CA50, CA199, CEA, PLR, and NLR were proved independently associated with metastasis using multiple logistic regression analysis (P < 0.05). CONCLUSION NLR and PLR are noted tumor markers of colorectal cancer, which are characterized by noninvasive, high diagnostic efficacy, easy availability, and low cost. They can be combined with traditional tumor markers to evaluate and diagnose colorectal cancer metastasis by clinicians.
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Affiliation(s)
- Bangquan Chen
- Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225001, China
- General Surgery Institute of Yangzhou, Yangzhou University, Yangzhou, 225001, China
- Yangzhou Key Laboratory of Basic and Clinical Transformation of Digestive and Metabolic Diseases, Yangzhou, China
| | - Jiajie Zhou
- General Surgery Institute of Yangzhou, Yangzhou University, Yangzhou, 225001, China
- Yangzhou Key Laboratory of Basic and Clinical Transformation of Digestive and Metabolic Diseases, Yangzhou, China
- Northern Jiangsu People's Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, Yangzhou, 225001, China
| | - Yue Ma
- General Surgery Institute of Yangzhou, Yangzhou University, Yangzhou, 225001, China
- Yangzhou Key Laboratory of Basic and Clinical Transformation of Digestive and Metabolic Diseases, Yangzhou, China
- Northern Jiangsu People's Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, Yangzhou, 225001, China
| | - Qiannan Sun
- General Surgery Institute of Yangzhou, Yangzhou University, Yangzhou, 225001, China
- Yangzhou Key Laboratory of Basic and Clinical Transformation of Digestive and Metabolic Diseases, Yangzhou, China
- Medical Research Center of Northern Jiangsu People's Hospital, Yangzhou, China
- Department of Gastrointestinal Surgery, Northern Jiangsu People's Hospital, Yangzhou, 225001, Jiangsu Province, China
| | - Jun Ren
- General Surgery Institute of Yangzhou, Yangzhou University, Yangzhou, 225001, China
- Yangzhou Key Laboratory of Basic and Clinical Transformation of Digestive and Metabolic Diseases, Yangzhou, China
- Department of Gastrointestinal Surgery, Northern Jiangsu People's Hospital, Yangzhou, 225001, Jiangsu Province, China
| | - Daorong Wang
- General Surgery Institute of Yangzhou, Yangzhou University, Yangzhou, 225001, China.
- Yangzhou Key Laboratory of Basic and Clinical Transformation of Digestive and Metabolic Diseases, Yangzhou, China.
- Northern Jiangsu People's Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, Yangzhou, 225001, China.
- Department of Gastrointestinal Surgery, Northern Jiangsu People's Hospital, Yangzhou, 225001, Jiangsu Province, China.
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In-Depth Analysis of the N-Glycome of Colorectal Cancer Cell Lines. Int J Mol Sci 2023; 24:ijms24054842. [PMID: 36902272 PMCID: PMC10003090 DOI: 10.3390/ijms24054842] [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: 02/03/2023] [Revised: 02/21/2023] [Accepted: 02/27/2023] [Indexed: 03/06/2023] Open
Abstract
Colorectal cancer (CRC) is the third most commonly diagnosed cancer and the second leading cause of cancer deaths worldwide. A well-known hallmark of cancer is altered glycosylation. Analyzing the N-glycosylation of CRC cell lines may provide potential therapeutic or diagnostic targets. In this study, an in-depth N-glycomic analysis of 25 CRC cell lines was conducted using porous graphitized carbon nano-liquid chromatography coupled to electrospray ionization mass spectrometry. This method allows for the separation of isomers and performs structural characterization, revealing profound N-glycomic diversity among the studied CRC cell lines with the elucidation of a number of 139 N-glycans. A high degree of similarity between the two N-glycan datasets measured on the two different platforms (porous graphitized carbon nano-liquid chromatography electrospray ionization tandem mass spectrometry (PGC-nano-LC-ESI-MS) and matrix-assisted laser desorption/ionization time of flight-mass spectrometry (MALDI-TOF-MS)) was discovered. Furthermore, we studied the associations between glycosylation features, glycosyltransferases (GTs), and transcription factors (TFs). While no significant correlations between the glycosylation features and GTs were found, the association between TF CDX1 and (s)Le antigen expression and relevant GTs FUT3/6 suggests that CDX1 contributes to the expression of the (s)Le antigen through the regulation of FUT3/6. Our study provides a comprehensive characterization of the N-glycome of CRC cell lines, which may contribute to the future discovery of novel glyco-biomarkers of CRC.
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You JF, Hsu YJ, Chern YJ, Cheng CC, Jong BK, Liao CK, Hsieh PS, Hsu HC, Tsai WS. Preoperative Cancer Inflammation Prognostic Index as a Superior Predictor of Short- and Long-Term Outcomes in Patients with Stage I-III Colorectal Cancer after Curative Surgery. Cancers (Basel) 2022; 14:cancers14246232. [PMID: 36551717 PMCID: PMC9777276 DOI: 10.3390/cancers14246232] [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: 11/14/2022] [Revised: 12/13/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022] Open
Abstract
Inflammatory reactions play a crucial role in cancer progression and may contribute to systemic inflammation. In routine clinical practice, some inflammatory biomarkers can be utilized as valuable predictors for colorectal cancer (CRC). This study aims to determine the usefulness of a novel cancer-inflammation prognostic index (CIPI) marker derived from calculating carcinoembryonic antigen (CEA) multiplied by the neutrophil-to-lymphocyte ratio (NLR) values established for non-metastatic CRCs. Between January 1995 and December 2018, 12,092 patients were diagnosed with stage I to III primary CRC and had radical resection—they were all included in this study for further investigation. There were 5996 (49.6%) patients in the low-CIPI group and 6096 (50.4%) patients in the high-CIPI group according to the cutoff value of 8. For long-term outcomes, the high-CIPI group had a significantly higher incidence of recurrence (30.6% vs. 16.0%, p < 0.001) and worse relapse-free survival (RFS) and overall survival (OS) rates (p < 0.001). High CIPI was an independent prognostic factor for RFS and OS in univariate and multivariate analyses. This research is the first to document the independent significance of CIPI as a prognostic factor for CRC. To ensure that it works, this CIPI needs to be tested on more CRC prediction models.
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Affiliation(s)
- Jeng-Fu You
- Division of Colon and Rectal Surgery, Department of Surgery, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
| | - Yu-Jen Hsu
- Division of Colon and Rectal Surgery, Department of Surgery, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
| | - Yih-Jong Chern
- Division of Colon and Rectal Surgery, Department of Surgery, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
| | - Ching-Chung Cheng
- Division of Colon and Rectal Surgery, Department of Surgery, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
| | - Bor-Kang Jong
- Division of Colon and Rectal Surgery, Department of Surgery, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
| | - Chun-Kai Liao
- Division of Colon and Rectal Surgery, Department of Surgery, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
| | - Pao-Shiu Hsieh
- Division of Colon and Rectal Surgery, Department of Surgery, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
| | - Hung-Chih Hsu
- Division of Hematology-Oncology, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
| | - Wen-Sy Tsai
- Division of Colon and Rectal Surgery, Department of Surgery, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
- Correspondence:
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