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Purpose: This study aimed to investigate the prognostic value of alpha-fetoprotein (AFP) ratio in patients with AFP-negative hepatocellular carcinoma (HCC). Patients and Methods: We retrospectively analyzed 600 AFP-negative HCC patients who underwent hepatectomy. The AFP ratio was calculated as the ratio of AFP level 1 week before surgery to the level 20-40 days after hepatectomy. Immunohistochemistry assay was used to assess protein expression in HCC tissue. The primary outcome measures were overall survival (OS) and disease-free survival (DFS). Results: The study found that a cutoff value of 1.6 ng/ml for AFP ratio, determined using X-tile software, was optimal for predicting prognosis. Patients with a high AFP ratio had a worse prognosis compare to those with a low AFP ratio (DFS, P =.026; OS, P =.034). Patients with a high AFP ratio had a worse prognosis compared to those with a low AFP ratio. Multivariate analysis revealed that AFP ratio >1.6, negative HepPar-1 expression, and vascular invasion were independent predictors of both DFS and OS. Vascular invasion had a higher area under the curve (AUC) than AFP ratio and HepPar-1 expression in predicting recurrence and death. The combination of AFP ratio, HepPar-1 expression, and vascular invasion provided better predictive accuracy for DFS and OS. Conclusion: The AFP ratio is a potential prognostic marker for AFP-negative HCC patients after hepatectomy. Combining the analysis of AFP ratio with HepPar-1 expression and vascular invasion can enhance the accuracy of predicting prognosis in these patients. [ABSTRACT FROM AUTHOR]

Background: There is no satisfactory indicator for monitoring recurrence after resection of hepatocellular carcinoma (HCC). This retrospective study aimed to design and validate an HCC monitor recurrence (HMR) model for patients without metastasis after hepatectomy. Methods: A training cohort was recruited from 1179 patients with HCC without metastasis after hepatectomy between February 2012 and December 2015. An HMR model was developed using an AdaBoost classifier algorithm. The factors included patient age, TNM staging, tumor size, and pre/postoperative dynamic variations of alpha-fetoprotein (AFP). The diagnostic efficacy of the model was evaluated based on the area under the receiver operating characteristic curves (AUCs). The model was validated using a cohort of 695 patients. Results: In preoperative patients with positive or negative AFP, the AUC of the validation cohort in the HMR model was.8877, which indicated better diagnostic efficacy than that of serum AFP (AUC,.7348). The HMR model predicted recurrence earlier than computed tomography/magnetic resonance imaging did by 191.58 ± 165 days. In addition, the HMR model can predict the prognosis of patients with HCC after resection. Conclusions: The HMR model established in this study is more accurate than serum AFP for monitoring recurrence after hepatectomy for HCC and can be used for real-time monitoring of the postoperative status in patients with HCC without metastasis. [ABSTRACT FROM AUTHOR]

Aim: The present study aimed to evaluate the combined value of locoregional extension patterns (LEPs) and circulating cell-free Epstein–Barr virus (cf EBV) DNA for risk stratification of locoregionally advanced nasopharyngeal carcinoma (LA-NPC) to better guide therapeutic strategies. Methods: A total of 7227 cases of LA-NPC were reviewed retrospectively and classified into six groups according to their LEP (ascending, descending, or mixed type) and pre-treatment cf EBV-DNA load (⩾ versus <4000 copy/ml). Using a supervised statistical clustering approach, patients in the six groups were clustered into low, intermediate, and high-risk clusters. Progression-free survival (PFS), overall survival (OS), distant metastasis-free survival (DMFS), and locoregional relapse-free survival (LRRFS) were calculated using the Kaplan–Meier method and differences were compared using the log-rank test. Results: Survival curves for the low, intermediate, and high-risk clusters were significantly different for all endpoints. The 5-year survival rate for the low, intermediate, and high-risk clusters, respectively, were: PFS (83.5%, 73.2%, 62.6%, p < 0.001), OS (91.0%, 82.7%, 73.2%, p < 0.001), DMFS (92.3%, 83.0%, 73.4%, p < 0.001), and LRRFS (91.0%, 88.0%, 83.3%, p < 0.001). The risk clusters acted as independent prognostic factors for all endpoints. Among the patients in the high-risk cluster, neoadjuvant chemotherapy combined with concurrent chemoradiotherapy (CCRT) significantly improved the patients 5-year PFS (66.4% versus 57.9%, p = 0.014), OS (77.6% versus 68.6%; p < 0.002), and DMFS (76.6% versus 70.6%; p = 0.028) compared with those treated with CCRT. Conclusion: Our results could facilitate the development of risk-stratification and risk-adapted therapeutic strategies for patients with LA-NPC. [ABSTRACT FROM AUTHOR]

Objective: To investigate the clinical implications of sleep quality, anxiety and depression in patients with advanced lung cancer (LC) and their family caregivers (FCs)., Methods: A total of 98 patients with advanced LC and their FCs (n=98) were recruited from the Oncology Department in Nanfang Hospital. The Pittsburgh Sleep Quality Index (PSQI), consisting of seven components that evaluate subjective sleep quality, sleep latency, duration of sleep, sleep efficiency, sleep disturbances, sleep medication usage and daytime dysfunction, was used to assess sleep quality. Using the tool of Zung Self-rating Anxiety Scale (SAS) and Zung Self-rating Depression Scale (SDS), we tested the patients' status of anxiety and depression, respectively., Results: The prevalences of poor sleep quality, anxiety and depression in patients were 56.1%, 48.9% and 56.1%, respectively, while those in FCs were 16.3%, 32.6% and 25.5%, respectively. Patients had higher PSQI, SAS and SDS scores than did FCs (p<0.05). Significant correlations were found between the patients' and FCs' scores of PSQI/SAS/SDS (p<0.05). Multivariate Cox regression analyses indicated that sleep disturbances in patients (HR 0.413, 95% CI 0.21 to 0.80, p=0.01) and the global PSQI score of FCs (HR 0.31, 95% CI 0.14 to 0.71, p=0.00) were independent risk factors for patients' first-line progression-free survival (PFS). Moreover, patients' sleep latency (HR 2.329, 95% CI 1.36 to 3.96, p=0.00) and epidermal growth factor receptor mutations (HR 1.953, 95% CI 1.12 to 3.38, p=0.01) were significant prognostic factors for their overall survival (OS)., Conclusions: We demonstrated that presence of sleep disturbances in patients with advanced LC and the global PSQI Score of their FCs may be risk predictors for patients' poor first-line PFS. Patients' sleep latency was a potential risk factor for their OS., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.)