The occurrence and development of hepatocellular carcinoma (HCC) depends largely on such non-tumor factors as inflammatory condition, immune state, viral infection and liver fibrosis. Various inflammation-based prognostic scores have been associated with survival in patients with HCC, such as the neutrophil/lymphocyte ratio (NLR), the platelet/lymphocyte ratio (PLR) and the prognostic nutritional index (PNI). The aspartate aminotransferase/platelet count ratio index (APRI) is thought to be a biomarker of liver fibrosis and cirrhosis. This study aims to evaluate the ability of these indices to predict survival in HCC patients after curative hepatectomy, and probe the increased prognostic accuracy of APRI combined with established inflammation-based prognostic scores. Data were collected retrospectively from 321 patients who underwent curative resection for HCC. Preoperative NLR, PLR, PNI, APRI and clinico-pathological variables were analyzed. Univariate and multivariate analyses were performed to identify the predictive value of the above factors for disease-free survival (DFS) and overall survival (OS). Univariate analysis showed that NLR, PLR, PNI and APRI were significantly associated with DFS and OS in HCC patients with curative resection. Multivariate analysis showed that NLR and APRI were superior to PLR and PNI, and both were independently correlated with DFS and OS. Preoperative NLR >2 or APRI >1.68 predicted poor prognosis of patients with HCC after hepatectomy. Furthermore, the predictive range of NLR combined with APRI was more sensitive than that of either measure alone. Preoperative NLR and APRI are independent predictors of DFS and OS in patients with HCC after surgical resection. Higher levels of NLR or APRI predict poorer outcomes in HCC patients. Intriguingly, combining NLR and APRI increases the prognostic accuracy of testing.
Coagulation and nutrition play important roles in cancer progression. The aim of the present study is to evaluate the prognostic value of the preoperative fibrinogen/albumin ratio (FAR) in surgical patients with soft tissue sarcoma (STS) and to compare this value with other inflammatory biomarkers. In addition, we investigated the relationship between FAR and the clinicopathological characteristics of STS patients. We included 310 STS patients in this retrospective study. Kaplan-Meier curves, univariate and multivariate Cox proportional models were used in the prognostic analyses. According to the receiver operating characteristic (ROC) analysis, the optimal FAR cut-off value was 0.0726. The FAR exhibited a greater area under the curve (AUC) value (0.680) than did the NLR and PLR. An elevated FAR (≥0.0726) was significantly associated with an old age, large tumor size, deep tumor location, high tumor grade, and advanced American Joint Committee on Cancer (AJCC) stage. Patients with an increased FAR had a shorter median survival time and a lower 5-year overall survival (OS) rate than did those with a low FAR (61.0 vs115.8 months, P < 0.001; 56.7% vs 82.4%, P < 0.001, respectively). Multivariate analysis indicated FAR (Hazard ratio (HR) 1.907, 95% confidence interval (CI) 1.161–3.132, P < 0.001) to be an independent prognostic factor for OS, as were tumor depth, grade and PLR. Preoperative FAR is associated with tumor progression and can be considered an independent factor for OS of resected STS patients.
1 August 2020 in European Journal of Surgical Oncology
The prognostic values of nutritional and immune-inflammatory indicators in non-metastatic soft tissue sarcoma (STS) patients are not clear. We investigated the utility of systemic immune-inflammation index (SII) and the high-sensitivity modified Glasgow prognostic score (Hs-mGPS) in the prediction of STS patient's prognosis. Patients admitted between January 2000 and December 2016, who underwent R0 resection for STS at SYSUCC were carefully retrospectively reviewed, and 454 patients were enrolled. The laboratory data and clinical data were collected from the patient's record. ROC analysis is used to determine the optimal cutoff value. Survival curves were analysed by Kaplan-Meier method. Cox proportional hazard model was used to find out prognostic variables. Increased SII and Hs-mGPS values were significantly related to larger tumour size, deep tumour location, higher tumour grade and more advanced American Joint Committee on Cancer (AJCC) stage. Patients with an elevated SII had a shorter median survival time and a lower 5-year OS rate than those with a low SII. And patients with low Hs-mGPS had longer median OS and DFS. Multivariate analysis revealed that both the SII and the Hs-mGPS were independent predictive indicators for OS. And a joint model containing both the Hsm-GPS and the SII appeared to have the strongest predictive ability. Our findings indicated that malnutrition and systemic inflammation are risk factors for the survival of STS patients after operation, and early recognition and intervention of malnutrition and systemic inflammation may help to improve the survival of the patients.
Background: The nutritional risk index (NRI) is an excellent indicator of nutritional status and a significant prognostic factor in several malignancies, but the relationship between NRI and the prognosis of head and neck soft tissue sarcoma (HNSTS) patients remains unclear. The aim of this study was to investigate the role of NRI in patients with HNSTS. Methods: We retrospectively reviewed patients with HNSTS between 1990 and 2021. In order to determine the optimal cut-off value of NRI, the Maximally selected log-rank statistic was performed. We evaluated the effect of NRI on overall survival (OS) and progression-free survival (PFS) by using the Kaplan–Meier method and Cox regression analysis. Then, OS and PFS nomograms based on NRI were constructed. Results: In total, 436 HNSTS patients were included in this study. The optimal cut-off value of NRI was 99.34. Patients with low-NRI showed significantly worse OS and PFS than patients with high-NRI, respectively (5-year OS rate of 43.0 vs. 70.8%, 5-year PFS rate of 29.0 vs. 45.0%, all p < 0.05). In the multivariate analysis, distant metastasis, deep tumor depth, tumor grade, and NRI were prognostic factors for both PFS and OS, and treatment modality was associated with OS but not PFS. The concordance indexes (C-indexes) of OS and PFS nomograms were 0.794 (95% CI, 0.759–0.829) and 0.663 (95% CI, 0.626–0.700), respectively, which also performed well in the validation set. Conclusions: NRI is an independent predictor of OS and PFS in HNSTS patients. The validated nomograms based on NRI provide useful predictions of OS and PFS for patients with HNSTS.
Objectives To investigate the prognostic significance of time to recurrence (TTR) for overall survival (OS) and survival after recurrence (SAR) in patients with localized or regionally advanced cutaneous melanoma. Methods A total of 731 cutaneous melanoma patients with an initial diagnosis of 8th American Joint Committee on Cancer (AJCC) clinical stage I-III were included in this study. The prognostic factors associated with OS and SAR were estimated through Kaplan-Meier and Cox regression analysis. Results Of the total cohort, 329 patients (45%) died, and 418 patients (57%) experienced recurrence. The median follow-up and TTR were 55.6 months and 9.6 months, respectively. A total of 141 patients (19%) experienced recurrence in <6 months, and 277 patients (38%) experienced recurrence in ≥6 months. Patients with stage III and positive lymph node dissection (LND) were more common in the early TTR group than in the late TTR group. Both the OS and SAR rates at 5 years and 10 years in the early TTR group were significantly poorer than those in the late TTR group (p<0.001 and p=0.008, respectively). Furthermore, early TTR, along with truncal tumour, higher TNM stage and therapeutic variables (extended resection, LND and adjuvant therapy), were significant independent predictors of worse OS and SAR in multivariate analysis (all p<0.05). Conclusions Early TTR predicts worse survival and could be considered an independent prognostic factor for patients with localized or regionally advanced cutaneous melanoma. TTR should be evaluated in all patients with recurrence to guide post-recurrence risk stratification and follow-up schedules.