Published in:
01-02-2016 | Original Article—Liver, Pancreas, and Biliary Tract
Evaluation of inflammation-based prognostic scores in patients undergoing hepatobiliary resection for perihilar cholangiocarcinoma
Published in: Journal of Gastroenterology | Issue 2/2016
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Background
Inflammation-based prognostic scores have prognostic value in several kinds of cancer. However, little is known about their value in perihilar cholangiocarcinoma. We evaluated whether inflammation-based prognostic scores are associated with survival of patients with perihilar cholangiocarcinoma.
Methods
Inflammation-based scores (i.e., the modified Glasgow Prognostic Score (mGPS), neutrophil–lymphocyte ratio, platelet–lymphocyte ratio, and prognostic nutritional index) were retrospectively evaluated in 534 patients who underwent resection for perihilar cholangiocarcinoma. Blood samples obtained 1–3 days before surgery after jaundice had fully resolved with biliary drainage and after cholangitis had subsided were used to obtain the scores.
Results
Of the four scores evaluated, the mGPS showed prognostic value, whereas the remaining three scores did not. Patients with an mGPS of 0 had significantly better survival than patients with an mGPS of 1 or 2 (41.9 % vs 26.3 % at 5 years, P < 0.001). An mGPS of 1 or 2 was significantly associated with a higher incidence of preoperative cholangitis, node metastasis, and distant metastasis (pM). Irrespective of the absence (n = 442) or presence (n = 92) of preoperative cholangitis, the survival of patients with an mGPS of 0 was significantly better than that of patients with an mGPS of 1 or 2. Multivariate analysis revealed that the mGPS, blood transfusion, histologic grade, curability (R status), lymph node metastasis, and distant metastasis were independent prognostic factors.
Conclusions
As in other solid cancers, the mGPS is an independent prognostic factor in resected perihilar cholangiocarcinoma. This simple and inexpensive scoring system plays an important role in refining patient stratification and predicting survival.