The increased expression of TCF3 is correlated with poor prognosis in Chinese patients with nasopharyngeal carcinoma

2017 ◽  
Vol 42 (4) ◽  
pp. 824-830 ◽  
Author(s):  
X. Shen ◽  
J. Yuan ◽  
M. Zhang ◽  
W. Li ◽  
B. Ni ◽  
...  
2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 6035-6035
Author(s):  
Ying Lu ◽  
Haixin Huang ◽  
Hui Yang ◽  
Xiaohua Hu ◽  
Xianbing Feng ◽  
...  

6035 Background: The role of drug maintenance intervention in improving survival outcomes remains controversial.To investigate the safety and effect of Tegafur(S1) maintenance intervention in patients with metastatic nasopharyngeal carcinoma who benefit from the first-line treatment in a multicenter randomized controlled study, and to identify the related biological prognostic factors and guide the individualized treatment choice. Methods: Patients with metastatic nasopharyngeal carcinoma in the Fourth Affiliated Hospital of Guangxi Medical University and other cancer centers who met the inclusion criteria were randomly divided into maintenance therapy group: S1 maintenance therapy until disease progression or intolerance; Observation group: follow-up to disease progression. PFS, overall survival (OS) and adverse reactions of S1 maintenance therapy were compared between the two groups. The correlation between EBV-DNA, human serum amyloid A (SAA) and prognosis was evaluated. Results: Follow-up was conducted to May 2020, with a median follow-up of 19.8 months (6.1-51.3 months), 183 cases were evaluable (88 cases in S1 maintenance treatment group, 95 cases in observation group). Compared with the observation group, the S1 maintenance treatment group significantly increased patients' median PFS (16.2 months vs. 8.7 months, P < 0.001) and median OS (32.1 months vs. 18.2 months, P < 0.001). Reduced the risk of poor prognosis for PFS and OS (PFS: HR 0.305, 95%CI 0.211-0.441, < 0.001; OS: HR 0.363, 95%CI 0.238-0.553, P < 0.001). In the maintenance treatment group, the median S1 treatment lasted for 14 courses (4-58 courses), and the main adverse reactions were grade 1 skin pigmentation, oral mucositis, hand-foot syndrome, nausea, etc. No grade 4 toxic reaction occurred, and it was well tolerated. Compared with observation patients with negative EBV-DNA, observation patients with positive EBV-DNA had a higher risk of poor prognosis for PFS (HR 1.764, 95%CI 1.078-2.887, P = 0.024). The risk of poor prognosis in patients with positive EBV-NDA was significantly reduced by 61.1% ( < 0.001) for PFS and 65.5% (P = 0.001) for OS (P = 0.001). Compared with the observation group with stable SAA expression, S1 maintenance therapy significantly improved the prognosis of patients. Patients with continuous decline in SAA had a 61.9% lower risk of poor prognosis in PFS (P < 0.001) and a 60.2% lower risk of poor prognosis in OS (P = 0.007). Conclusions: For patients with metastatic nasopharyngeal carcinoma who benefit from first-line treatment, maintenance therapy of S1 can significantly improve the survival prognosis and is well tolerated. Patients with positive EBV-DNA and continuous decline in SAA may benefit more from maintenance intervention. Clinical trial information: ChiCTR-IOR-16007939.


Author(s):  
Wei-Bo Le ◽  
Jingsong Shi ◽  
Fan Yang ◽  
Si-Wen Gong

Background and objectives Associations between HLA alleles and susceptibility to PLA2R-related membranous nephropathy have been well defined previously in Chinese patients. However, the relationships between HLA alleles and kidney outcome remain unclear. Design, setting, participants, & measurements Five HLA genes (DRB1, DQA1, DQB1, DRB3, and DRB5) were genotyped in a prospective cohort of 392 patients with PLA2R-related membranous nephropathy. The associations between HLA alleles and kidney outcomes were studied. Results A total of 79 HLA alleles were identified in this study. Four HLA alleles, DRB1*13:01 (n=12, HR 3.7, 95% CI 1.8 - 7.8, P < 0.001) , DQB1*06:03 (n=12, HR 3.7, 95% CI 1.8 - 7.8, P < 0.001), DRB1*04:05 (n=12, HR 3.8,95% CI 1.5 - 9.5, P = 0.004) and DQB1*03:02 (n=21, HR 3.1,95% CI 1.4 - 6.7, P = 0.005), were associated with a ≥ 40% eGFR decline during follow-up. DRB1*13:01 and DQB1*06:03 were tightly linked with each other. Forty-four of the 392 patients (11%) carried at least one of the four identified risk HLA alleles in this study. Compared with patients who were negative for all risk HLA alleles, those carrying at least one risk HLA allele had a significant risk of a ≥ 40% eGFR decline during follow-up (HR 3.9, 95% CI 2.3 - 6.7, P < 0.001). After adjusting for age, sex, proteinuria, albumin, eGFR, and anti-PLA2R antibody levels, multivariable Cox analysis showed that patients carrying any of the four risk HLA alleles remained associated with a higher risk of a ≥40% decline in eGFR (HR 4.1, 95% CI 2.3 - 7.1, P < 0.001). Conclusions Carrying any of the HLA alleles, DRB1*13:01/DQB1*06:03, DRB1*04:05 and DQB1*03:02, was independently associated with poor prognosis in Chinese patients with PLA2R-related membranous nephropathy.


2021 ◽  
pp. 1-18
Author(s):  
Bei-lei Zhu ◽  
Yan-zhi Wu ◽  
Zhong-ming Cai ◽  
Cheng-wei Liao ◽  
Le-qiu Sun ◽  
...  

Abstract Nutritional Risk Screening index is a standard tool to assess nutritional risk, but epidemiological data are scarce on Controlling Nutritional Status (CONUT) as a prognostic marker in acute hemorrhagic stroke (AHS). We aimed to explore whether the CONUT may predict a 3-month functional outcome in AHS. In total, 349 Chinese patients with incident AHS were consecutively recruited, and their malnutrition risks were determined using a high CONUT score of ≥ 2. The cohort patients were divided into high-CONUT (≥ 2) and low-CONUT (< 2) groups, and primary outcomes were a poor functional prognosis defined as the modified Rankin Scale (mRS) score of ≥ 3 at post-discharge for 3 months. Odds ratios (OR) with 95% confidence intervals (CI) for the poor functional prognosis at post-discharge were estimated by using a logistic analysis with additional adjustments for unbalanced variables between the high-CONUT and low-CONUT groups. A total of 328 patients (60.4 ± 12.83 years; 66.8% male) completed the mRS assessment at post-discharge for 3 months, with 172 patients at malnutrition risk at admission and 104 patients with a poor prognosis. The levels of total cholesterol and total lymphocyte counts were significantly lower in high-CONUT patients than low-CONUT patients (p = 0.012 and < 0.001, respectively). At 3-month post discharge, there was a greater risk for the poor outcome in the high-CONUT compared with the low-CONUT patients at admission (OR: 2.32, 95% CI: 1.28-4.17). High-CONUT scores independently predict a 3-month poor prognosis in AHS, which helps identify those who need additional nutritional managements.


2019 ◽  
Vol 25 (1) ◽  
Author(s):  
Guoping Ou ◽  
Shan Xing ◽  
Jianpei Li ◽  
Lin Zhang ◽  
Shulin Chen

Abstract Purpose To evaluate the prognostic value of circulating tumor cells (CTCs) in nasopharyngeal carcinoma (NPC). Methods Cox’s proportional hazards regression models were used to identify whether CTCs was a poor prognostic factor for NPC. Chi-square tests were used to analyze and compare the distribution characteristics of CTCs in NPC. ROC curve was used to estimate the cut-off point of CTCs. Kaplan-Meier survival analyses were used to observe the prognostic value of CTCs alone and in combined with Epstein-Barr Virus DNA (EBV-DNA). Results CTCs was confirmed to be an independent risk factor for poor prognosis of NPC by Cox’s regression models that enrolled 370 NPC cases and took age, gender, EBV-DNA and CTCs as variables. The proportion of CTCs in stage IV NPC was statistically different from that in stage III; the cut-off point of CTCs between stage IV (288 cases) and stage III (70 cases) NPC estimated by ROC curve was 0.5. The prognosis of advanced NPC patients became worse with the increase of CTCs count. The combined detection of CTCs and EBV-DNA could better predict the prognosis of NPC compared with the single detection of EBV-DNA.


2010 ◽  
Vol 23 (10) ◽  
pp. 1393-1403 ◽  
Author(s):  
Mei-Chi Hsu ◽  
Jenn-Ren Hsiao ◽  
Kung-Chao Chang ◽  
Yuan-Hua Wu ◽  
Ih-Jen Su ◽  
...  

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