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      Inflammation-Immunity-Nutrition Score: A Novel Prognostic Score for Patients with Resectable Colorectal Cancer

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          Abstract

          Purpose

          This study was designed to investigate the prognostic value of the combination of high-sensitivity C-reactive protein, lymphocyte, and albumin in patients with resectable colorectal cancer.

          Patients and Methods

          Seven-hundred-and-nineteen patients who underwent colorectal cancer resection in Hubei Cancer Hospital were included. Inflammation-Immunity-Nutrition score (0–6) was constructed based on preoperative high-sensitivity C-reactive protein, lymphocyte, and albumin. Time-dependent receiver operating characteristic curve, decision curve, Kaplan-Meier survival curve, Cox regression, and C-index were conducted to detect the prognostic values of inflammation-immunity-nutrition score. The prognostic values of inflammation-immunity-nutrition score in different subgroups by sex, location of tumor, pathologic stage, and KRAS mutation were also explored. The prognostic performance of inflammation-immunity-nutrition score was further compared with that of other traditional prognostic indicators.

          Results

          The median follow-up time was 40 months. High inflammation-immunity-nutrition score (>2 scores) presented worse survival, with the adjusted hazard ratios (95% confidence intervals) of 3.106 (2.202–4.380) for overall survival and 2.105 (1.604–2.764) for disease-free survival. Besides, the associations of high inflammation-immunity-nutrition score with overall survival were even stronger in cases with wild type KRAS, with the adjusted hazard ratios (95% confidence intervals) of 4.018 (2.355–6.854). Considering the AUCs, C-indices, and hazard ratios estimates, inflammation-immunity-nutrition score presented better prognostic performance than high-sensitivity modified Glasgow prognostic score, high-sensitivity C-reactive protein to albumin ratio, prognostic nutrition index, carcinoembryonic antigen, and carbohydrate antigen 19-9 for overall survival.

          Conclusion

          Inflammation-immunity-nutrition score might serve as a powerful prognostic score in patients with colorectal cancer for overall survival, particularly in patients with wild type KRAS.

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          Most cited references32

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          Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

          This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.
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            X-tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization.

            The ability to parse tumors into subsets based on biomarker expression has many clinical applications; however, there is no global way to visualize the best cut-points for creating such divisions. We have developed a graphical method, the X-tile plot that illustrates the presence of substantial tumor subpopulations and shows the robustness of the relationship between a biomarker and outcome by construction of a two dimensional projection of every possible subpopulation. We validate X-tile plots by examining the expression of several established prognostic markers (human epidermal growth factor receptor-2, estrogen receptor, p53 expression, patient age, tumor size, and node number) in cohorts of breast cancer patients and show how X-tile plots of each marker predict population subsets rooted in the known biology of their expression.
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              Markers of Inflammation and Cardiovascular Disease: Application to Clinical and Public Health Practice: A Statement for Healthcare Professionals From the Centers for Disease Control and Prevention and the American Heart Association

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                Author and article information

                Journal
                J Inflamm Res
                J Inflamm Res
                jir
                jinres
                Journal of Inflammation Research
                Dove
                1178-7031
                10 September 2021
                2021
                : 14
                : 4577-4588
                Affiliations
                [1 ]Department of Epidemiology and Biostatistics, The Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Huazhong University of Science and Technology , Wuhan, People’s Republic of China
                [2 ]Department of Gastrointestinal Oncology Surgery, Hubei Cancer Hospital, The Seventh Clinical School Affiliated of Tongji Medical College, Huazhong University of Science and Technology , Wuhan, People’s Republic of China
                [3 ]Department of Abdominal Oncology, Hubei Cancer Hospital, The Seventh Clinical School Affiliated of Tongji Medical College, Huazhong University of Science and Technology , Wuhan, People’s Republic of China
                Author notes
                Correspondence: Li Liu Department of Epidemiology and Biostatistics, the Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Huazhong University of Science and Technology , Wuhan, People’s Republic of ChinaTel/Fax +86-27-83693763 Email liul2012@hust.edu.cn
                Xin-Jun Liang Department of Abdominal Oncology, Hubei Cancer Hospital, The Seventh Clinical School Affiliated of Tongji Medical College, Huazhong University of Science and Technology , Wuhan, People’s Republic of ChinaTel/Fax +86-27-87671663 Email doctorlxj@163.com
                Author information
                http://orcid.org/0000-0002-5180-7926
                Article
                322260
                10.2147/JIR.S322260
                8439969
                40a90a33-e6dc-4ff4-97f2-9082c5938f6f
                © 2021 Li et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 28 May 2021
                : 17 August 2021
                Page count
                Figures: 4, Tables: 9, References: 32, Pages: 12
                Funding
                Funded by: National Natural Science Foundation of China to Shao-Fa Nie;
                Funded by: the National Natural Science Foundation of China to Li Liu;
                Funded by: Health commission of Hubei Province scientific research project to Li Liu;
                Funded by: Hubei Provincial Natural Science Foundation to Xin-Jun Liang;
                Funded by: Foundation of Chinese Society of Clinical Oncology to Xin-Jun Liang;
                Funded by: National Key R&D Program of China to Xin-Jun Liang;
                Funded by: Health commission of Hubei Province scientific research project to Xin-Jun Liang;
                Funded by: National Key R&D Program of China to Shao-Zhong Wei;
                Funded by: Health commission of Hubei Province scientific research project to Shao-Zhong Wei;
                Funded by: Hubei Provincial Natural Science Foundation to Shao-Zhong Wei;
                This work was supported by the National Natural Science Foundation of China to Shao-Fa Nie (Grant No. 81974491), the National Natural Science Foundation of China to Li Liu (Grant No. 81302491 and No. 82173602), the Health commission of Hubei Province scientific research project to Li Liu (Grant No. WJ2019Q027), the Applied Basic Research Program of Wuhan Science and Technology Bureau to Xin-Jun Liang (Grant No. 2020020601012250), the Foundation of Chinese Society of Clinical Oncology to Xin-Jun Liang (Grant No. CSCO: Y-HS2019-39 and No. CSCO: Y-QL2019-0351), the Health commission of Hubei Province scientific research project to Xin-Jun Liang (Grant No. WJ2021Z001), the National Key R&D Program of China to Shao-Zhong Wei (Grant No. 2017YFC0908200), the Health commission of Hubei Province scientific research project to Shao-Zhong Wei (Grant No. WJ2019H121), and the Hubei Provincial Natural Science Foundation to Shao-Zhong Wei (Grant No. 2019ACA135).
                Categories
                Original Research

                Immunology
                high-sensitivity c-reactive protein,survival,colorectal cancer,inflammation
                Immunology
                high-sensitivity c-reactive protein, survival, colorectal cancer, inflammation

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