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Annals of Surgical Oncology 2018-Jun

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

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Shinkichi Takamori
Gouji Toyokawa
Mototsugu Shimokawa
Fumihiko Kinoshita
Yuka Kozuma
Taichi Matsubara
Naoki Haratake
Takaki Akamine
Fumihiko Hirai
Takashi Seto

Mots clés

Abstrait

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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