Literature DB >> 29500763

The C-Reactive Protein/Albumin Ratio is a Novel Significant Prognostic Factor in Patients with Malignant Pleural Mesothelioma: A Retrospective Multi-institutional Study.

Shinkichi Takamori1,2, Gouji Toyokawa1, Mototsugu Shimokawa2, Fumihiko Kinoshita1, Yuka Kozuma1, Taichi Matsubara1, Naoki Haratake1, Takaki Akamine1, Fumihiko Hirai1, Takashi Seto2, Tetsuzo Tagawa1, Mitsuhiro Takenoyama3, Yukito Ichinose2, Yoshihiko Maehara1.   

Abstract

BACKGROUND: Malignant pleural mesothelioma (MPM), a devastating neoplasm, is traditionally considered to be resistant to antitumor therapy. Identification of clinical prognostic indicators is therefore needed. Although the C-reactive protein/albumin ratio (CAR) has been used to predict the prognosis of many types of malignancy, its utility in patients with MPM is unknown.
METHODS: The data of 100 patients diagnosed as having MPM from 1995 to 2015 at the National Kyushu Cancer Center and Kyushu University were analyzed. The CAR was calculated as serum C-reactive protein concentration divided by albumin concentration. A cutoff for CAR was set at 0.58 according to a receiver operating characteristics curve for 1-year survival.
RESULTS: Thirty-five of the 100 (35.0%) patients were classified as having a high CAR. A high CAR was significantly associated with advanced clinical stage (p < 0.001) and chemotherapy alone (p = 0.002). Patients with a high CAR had significantly shorter overall survival (OS) (p < 0.001) and disease- or progression-free survival (DFS/PFS) (p < 0.001). These associations between CAR and prognosis remained significant after propensity score-matching. In multivariate analysis, a high CAR was an independent predictor of shorter OS and DFS/PFS (p = 0.003 and p = 0.008, respectively). Multivariate analyses of the subgroups of patients who had received chemotherapy and of patients who had undergone surgery also showed that a high CAR was an independent predictor of shorter OS and DFS/PFS.
CONCLUSIONS: CAR is an independent predictor of prognosis in MPM patients. This prognostic index contributes to clinicians' ability to predict benefit from treatment. Further larger, prospective studies are necessary to validate these findings.

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Year:  2018        PMID: 29500763     DOI: 10.1245/s10434-018-6385-x

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


  6 in total

1.  Prognostic Impact of Inflammation-related Biomarkers on Overall Survival of Patients with Inoperable Malignant Pleural Mesothelioma.

Authors:  Takehiro Otoshi; Yuki Kataoka; Sawako Kaku; Reika Iki; Masataka Hirabayashi
Journal:  In Vivo       Date:  2018 Mar-Apr       Impact factor: 2.155

2.  Survivin expression as an independent predictor of overall survival in malignant peritoneal mesothelioma.

Authors:  Guozun Zhang; Dong-Liang Yang; Guoqi Zheng; Yufei Liang
Journal:  Oncol Lett       Date:  2020-04-02       Impact factor: 2.967

Review 3.  Biomarkers for Malignant Pleural Mesothelioma-A Novel View on Inflammation.

Authors:  Melanie Vogl; Anna Rosenmayr; Tomas Bohanes; Axel Scheed; Milos Brndiar; Elisabeth Stubenberger; Bahil Ghanim
Journal:  Cancers (Basel)       Date:  2021-02-06       Impact factor: 6.639

4.  Sarcopenia as a Predictor of Short- and Long-Term Outcomes in Patients Surgically Treated for Malignant Pleural Mesothelioma.

Authors:  Eleonora Faccioli; Stefano Terzi; Chiara Giraudo; Andrea Zuin; Antonella Modugno; Francesco Labella; Giovanni Zambello; Giulia Lorenzoni; Marco Schiavon; Dario Gregori; Giulia Pasello; Fiorella Calabrese; Andrea Dell'Amore; Federico Rea
Journal:  Cancers (Basel)       Date:  2022-07-29       Impact factor: 6.575

5.  High C-Reactive Protein to Albumin Ratio Predicts Inferior Clinical Outcomes in Extranodal Natural Killer T-Cell Lymphoma.

Authors:  Quan-Shu Di; Tao Xu; Ying Song; Zhi-Gang Zuo; Feng-Jun Cao; Xiong-Jie Yu; Ji-Ying Tang; Wei Zhang; Chen Li; Guo-Xing Wan; Xiao-Jun Cai
Journal:  Dose Response       Date:  2020-04-07       Impact factor: 2.658

6.  Informative Power Evaluation of Clinical Parameters to Predict Initial Therapeutic Response in Patients with Advanced Pleural Mesothelioma: A Machine Learning Approach.

Authors:  Raffaella Massafra; Annamaria Catino; Pia Maria Soccorsa Perrotti; Pamela Pizzutilo; Annarita Fanizzi; Michele Montrone; Domenico Galetta
Journal:  J Clin Med       Date:  2022-03-16       Impact factor: 4.241

  6 in total

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