Corrigendum to "Lenvatinib plus sintilimab versus lenvatinib monotherapy as first-line treatment for advanced HBV-related hepatocellular carcinoma: A retrospective, real-world study" [Heliyon 8 (6) (2022) e09538].

[This corrects the article DOI: 10.1016/j.heliyon.2022.e09538.].

Silenced LINC01134 Enhances Oxaliplatin Sensitivity by Facilitating Ferroptosis Through GPX4 in Hepatocarcinoma.

Purpose: Recently, long noncoding RNA LINC01134 has been shown to reduce cell viability and apoptosis via the antioxidant stress pathway, thereby enhancing OXA resistance in hepatocellular carcinoma. However, the association of LINC01134 with ferroptosis and the underlying molecular mechanisms remain to be elucidated. Methods: Bioinformatics analysis was employed to screen lncRNAs positively correlated with GPX4 and poor clinical prognosis. And Western blot and RT-PCR analysis in HCC cells confirmed the effect of LINC01134 on GPX4 expression. In addition, LINC01134 siRNA was transfected in HCC cells to detect the changes in cell viability, ROS, lipid peroxidation, MDA levels and GSH/GSSG levels. CCK-8, colony formation and apoptosis assays were performed to determine the effect of LINC01134 on cell death. The effect of LINC01134 and OXA on Nrf2 transcriptional binding to GPX4 was analyzed using dual luciferase reporter assay and CHIP. The expression of GPX4 and Nrf2 in HCC tissues was detected by FISH and IHC. Results: LINC01134 is a novel lncRNA positively correlated with GPx4 and associated with poor clinical prognosis. Silenced LINC01134 conferred OXA sensitivity by enhancing total ROS, lipid ROS, MDA levels and decreasing GSH/GSSG ratio. Mechanistically, LINC01134 and OXA could promote Nrf2 recruitment to the GPX4 promoter region to exert transcriptional regulation of GPX4. Clinically, LINC01134 was positively correlated with GPX4 or Nrf2, demonstrating the clinical significance of LINC01134, Nrf2 and GPX4 in OXA resistance of HCC. Conclusions: We identified LINC01134/Nrf2/GPX4 as a novel and critical axis to regulate HCC growth and progression. Targeting GPX4, knocking down LINC01134 or Nrf2 could be a potential therapeutic strategy for HCC.

A nomogram-based immunoprofile predicts clinical outcomes for stage II and III human colorectal cancer.

An immunoscore for colorectal cancer (CRC) has higher prognostic significance than the TNM staging system. However, the tumor immune microenvironment contains various components that affect clinical prognosis. Therefore, a broader range of immune markers is required to establish an accurate immunoprofile to assess the prognosis of patients with CRC. Using immunohistochemistry combined with multispectral immunohistochemistry and objective assessments, the infiltration of four immune cell types (CD4+/CD8+/forkhead box p3+/CD33+ cells), as well as the expression of six co-signaling molecules [programmed cell death 1 (PD1) ligand 1/PD1/T-cell immunoglobulin mucin family member 3/lymphocyte-activating 3/tumor necrosis factor receptor superfamily, member 4/inducible T-cell costimulator] and indoleamine 2,3-dioxygenase 1 were investigated in two independent cohorts of CRC. The patients' overall survival (OS) was evaluated using the Kaplan-Meier method. Using the Cox proportional hazards model, independent prognostic factors of patients were assessed and a nomogram-based immunoprofile system was developed. The predictive ability of the nomogram was determined using a concordance index (C-index) and calibration curve. To facilitate clinical application, a simplified nomogram-based immunoprofile was constructed. Using receiver operating characteristic (ROC) analysis, the predictive accuracy for OS was compared between the immunoprofile and the TNM staging system for patients with stage II/III CRC. According to multivariate analysis for the primary cohort, independent prognostic factors for OS were CD8+ tumor-infiltrating lymphocytes, CD33+ myeloid-derived suppressor cells and TNM stage, which were included in the nomogram. The C-index of the nomogram for predicting OS was 0.861 (95% CI: 0.796-0.925) for the internal validation and 0.759 (95% CI: 0.714-0.804) for the external validation cohort. The simplified nomogram-based immunoprofile system was able to separate same-stage patients into different risk subgroups, particularly for TNM stage II (P<0.0001) and III (P=0.0002) patients. Pairwise comparison of ROC curves for the immunoprofile and TNM stage systems for patients with stage II/III CRC revealed statistically significant differences (P=0.046) and the Z-statistic value was 1.995. In conclusion, the nomogram-based immunoprofile system provides prognostic accuracy regarding clinical outcomes and is a useful supplement to the TNM staging system for patients with stage II/III CRC.

Patients with advanced non-small cell lung cancer with EGFR mutations in addition to complex mutations treated with osimertinib have a poor clinical outcome: A real-world data analysis.

The present study aimed to investigate the clinical characteristics and outcomes of patients with advanced non-small cell lung cancer (NSCLC) treated with osimertinib, and focused on the resistance mechanism to osimertinib in a real-world setting. Data from 128 patients with advanced NSCLC who were treated with osimertinib between March 2015 and November 2018 at the Chinese People's Liberation Army General Hospital (Beijing, China) were retrospectively collected, and the associations between mutation types and survival were analysed. In patients treated with osimertinib, the objective response rate reached 60.9% (78/128) and the disease control rate reached 81.3% (104/128), with a median progression-free survival (PFS) time of 12.2 months. A number of complex mutations were identified in the re-analysis after the development of osimertinib resistance, including TP53, KRAS and PIK3CA mutations, epidermal growth factor receptor (EGFR) and MYC amplifications, and mutations associated with SCLC transformation, demonstrating that these mutations may account for osimertinib resistance. The median PFS time for patients with the EGFR T790M mutation (n=41) was significantly longer than that for patients with the T790M mutation and the aforementioned complex mutations (n=13) (16.7 vs. 10.8 months; P=0.001). Patients with a single EGFR mutation (n=87) had a longer median PFS time than those with an EGFR mutation and complex mutations (n=24) (14.63 vs. 6.63 months; P<0.0001). In conclusion, the present study analysed the effects of osimertinib in patients with advanced NSCLC with EGFR mutations, particularly T790M mutations. The results indicated that the efficacy of osimertinib was weakened when patients had complex mutations, suggesting that complex mutations may be responsible for resistance to osimertinib.