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Background Anterior gradient-2 (AGR2) is a proto-oncogene involved in tumorigenesis and cancer progression. AGR2, predominantly localized in the endoplasmic reticulum (ER), is also a secreted protein detected in the extracellular compartment in multiple cancers. However, the biological functions of intracellular and extracellular AGR2 remain to be elucidated. Methods Based on the biochemical structure of AGR2 protein, PANC-1 pancreatic cancer cells stably expressing ER-resident or secreted AGR2 were generated by a lentivirus-mediated stable overexpression system. The capacities of cell proliferation, migration, invasion and survival were assessed in PANC-1 stable cells. Moreover, EGFR expression and activation were determined to explore the possible mechanism of AGR2 roles in pancreatic cancer tumorigenesis. Results It was discovered that secreted AGR2, but not ER-resident AGR2, promotes cell proliferation, migration and invasion of PANC-1 cells. Moreover, the data indicated that both the ER-resident and the secreted AGR2 enhance the survival capacity of PANC-1 cells after tunicamycin-induced ER stress and gemcitabine treatment. However, EGFR expression and activation were not found to be involved in AGR2-dependent oncogenic phenotypes in PANC-1 cells. Conclusions Secreted AGR2 is predominantly involved in cell proliferation, migration and invasion in PANC-1 pancreatic cancer cells. Both secreted and ER-resident AGR2 contribute to the survival of PANC-1 cells under the challenging conditions. These findings provide insight into how different localizations of AGR2 have contributed to pancreatic cancer growth, metastasis, and drug sensitivity.

Background Conditional survival (CS) provides dynamic prognostic estimates by considering the patients existing survival time. Since CS for endemic nasopharyngeal carcinoma (NPC) is lacking, we aimed to assess the CS of endemic NPC and establish a web‐based calculator to predict individualized, conditional site‐specific recurrence risk. Methods Using an NPC‐specific database with a big‐data intelligence platform, 10,058 endemic patients with non‐metastatic stage I–IVA NPC receiving intensity‐modulated radiotherapy with or without chemotherapy between April 2009 and December 2015 were investigated. Crude CS estimates of conditional overall survival (COS), conditional disease‐free survival (CDFS), conditional locoregional relapse‐free survival (CLRRFS), conditional distant metastasis‐free survival (CDMFS), and conditional NPC‐specific survival (CNPC‐SS) were calculated. Covariate‐adjusted CS estimates were generated using inverse probability weighting. A prediction model was established using competing risk models and was externally validated with an independent, non‐metastatic stage I–IVA NPC cohort undergoing intensity‐modulated radiotherapy with or without chemotherapy (n = 601) at another institution. Results The median follow‐up of the primary cohort was 67.2 months. The 5‐year COS, CDFS, CLRRFS, CDMFS, and CNPC‐SS increased from 86.2%, 78.1%, 89.8%, 87.3%, and 87.6% at diagnosis to 87.3%, 87.7%, 94.4%, 96.0%, and 90.1%, respectively, for an existing survival time of 3 years since diagnosis. Differences in CS estimates between prognostic factor subgroups of each endpoint were noticeable at diagnosis but diminished with time, whereas an ever‐increasing disparity in CS between different age subgroups was observed over time. Notably, the prognoses of patients that were poor at diagnosis improved greatly as patients survived longer. For individualized CS predictions, we developed a web‐based model to estimate the conditional risk of local (C‐index, 0.656), regional (0.667), bone (0.742), lung (0.681), and liver (0.711) recurrence, which significantly outperformed the current staging system (P < 0.001). The performance of this web‐based model was further validated using an external validation cohort (median follow‐up, 61.3 months), with C‐indices of 0.672, 0.736, 0.754, 0.663, and 0.721, respectively. Conclusions We characterized the CS of endemic NPC in the largest cohort to date. Moreover, we established a web‐based calculator to predict the CS of site‐specific recurrence, which may help to tailor individualized, risk‐based, time‐adapted follow‐up strategies.

Frontier evidence suggests that dysregulation of long noncoding RNAs (lncRNA) is ubiquitous in all human tumors, indicating that lncRNAs might have essential roles in tumorigenesis. Therefore, an in-depth study of the roles of lncRNA in nasopharyngeal carcinoma (NPC) carcinogenesis might be helpful to provide novel therapeutic targets. Here we report that lncRNA TINCR was significantly upregulated in NPC and was associated positively with poor survival. Silencing TINCR inhibited NPC progression and cisplatin resistance. Mechanistically, TINCR bound ACLY and protected it from ubiquitin degradation to maintain total cellular acetyl-CoA levels. Accumulation of cellular acetyl-CoA promoted de novo lipid biosynthesis and histone H3K27 acetylation, which ultimately regulated the peptidyl arginine deiminase 1 (PADI1)–MAPK–MMP2/9 pathway. In addition, insulin-like growth factor 2 mRNA-binding protein 3 interacted with TINCR and slowed its decay, which partially accounted for TINCR upregulation in NPC. These findings demonstrate that TINCR acts as a crucial driver of NPC progression and chemoresistance and highlights the newly identified TINCR–ACLY–PADI1–MAPK–MMP2/9 axis as a potential therapeutic target in NPC. Significance: TINCR-mediated regulation of a PADI1–MAPK–MMP2/9 signaling pathway plays a critical role in NPC progression and chemoresistance, marking TINCR as a viable therapeutic target in this disease.

Purpose To develop predictive models with dosimetric and clinical variables for temporal lobe injury (TLI) in nasopharyngeal carcinoma (NPC) after intensity-modulated radiotherapy (IMRT). Materials and methods Data of 8194 NPC patients who received IMRT-based treatment were retrospectively reviewed. TLI was diagnosed by magnetic resonance imaging. Dosimetric factors were selected by penalized regression and machine learning, with area under the receiver operating curve (AUC) calculated. Cox proportional hazards models containing the most predictive dosimetric factor with/without clinical variables were performed. A nomogram was generated as a visualization of Cox regression for predicting TLI-free survival. Results During median follow-up of 66.8 months (interquartile range [IQR] 54.2–82.2 months), 12.1% of patients (989/8194) developed TLI. Median latency from IMRT to TLI was 36 months (IQR 28–47 months). D0.5cc (dose delivered to 0.5-cm3 temporal-lobe volume) was the most predictive dosimetric factor (AUC: 0.799). Tolerance dose for 5% and 50% probabilities to develop TLI in 5 years were 65.06 Gy (95% confidence interval [CI]: 64.19–65.92) and 89.75 Gy (95% CI: 87.39–92.11), respectively. A nomogram comprising age, T stage, and D0.5cc significantly outperformed the model with only D0.5cc in predicting TLI (C-index: 0.78 vs. 0.737 in train set; 0.775 vs. 0.73 in test set; both P Conclusions D0.5cc of 65.06 Gy was the tolerance dose of the temporal lobe. Reducing D0.5cc decreased risk of TLI, especially in older patients with advanced T stage. The nomogram could predict TLI precisely and allow individualized follow-up management.

Objectives To screen subgroup potentially benefiting from cumulative cisplatin dose (CCD) ≥ 200 mg/m2 during concurrent chemoradiotherapy (CCRT) of patients with locoregionally-advanced nasopharyngeal carcinoma (LA-NPC) receiving induction chemotherapy (IC) and CCRT. Materials and Methods In total, 2 063 patients with non-disseminated LA-NPC diagnosed from 2009 to 2015 receiving IC plus CCRT were enrolled. Patients were restaged based on proposed stage groupings and risk groupings was established. After propensity score matching, survival outcomes were compared within different risk groupings with 200 mg/m2 CCD. Post-IC gross primary tumor (GTVp) and lymph node (GTVnd) volumes were calculated from planning computed tomography. The role of risk groupings and post-IC tumor volume to CCD was explored. Results Compared with the low-risk group, the high-risk group showed poor survival outcomes in terms of 5-year progression-free survival (PFS), overall survival (OS), distant metastasis-free survival (DMFS), and locoregional relapse-free survival (LRRFS). CCD ≥ 200 mg/m2 improved survival in terms of 5-year PFS, OS and DMFS in the high-risk group but not in the low-risk group. High-risk patients with unfavorable response to IC benefited from CCD ≥ 200 mg/m2 with respect to PFS and DMFS; while those in low-risk group or with favorable response to IC didn’t. Conclusions Risk groupings was effective for risk stratification. Combining risk groupings and post-IC tumor volume is a simple and useful method to guide individualized CCD treatment of CCRT for patients with LA-NPC receiving IC and CCRT. CCD ≥ 200 mg/m2 may be indicated for high-risk patients with unfavorable response to IC.

BACKGROUND The current study was performed to investigate whether circulating cell-free Epstein-Barr virus DNA (cfEBV DNA) would be useful for posttreatment surveillance in patients with nasopharyngeal carcinoma (NPC). METHODS The authors identified a total of 1984 nondisseminated NPC patients from an institutional big-data research platform. Blood samples were collected within 3 months of the completion of radiotherapy and every 3 to 12 months thereafter for cfEBV DNA analysis. Patients were followed until disease recurrence was detected or for a median of 60 months. Diagnostic performance was assessed by calculating the sensitivity, specificity, and accuracy based on the clinical detection of disease recurrence by conventional surveillance modalities (imaging scans and pathological examination). RESULTS During follow-up, a total of 767 patients (38.7%) had detectable cfEBV DNA. The recurrence rate among these patients was 63.8% (489 of 767 patients), which was significantly higher than that in patients with undetectable cfEBV DNA (8.6%; 105 of 1217 patients). cfEBV DNA sensitivity, specificity, and accuracy were 68.8%, 80.0%, and 78.2%, respectively, for local recurrence; 80.2%, 80.0%, and 85.9%, respectively, for regional recurrence; and 91.1%, 80.0%, and 92.8%, respectively, for distant metastasis. cfEBV DNA was found to have higher sensitivity for the detection of extrapulmonary metastases (94.9%-96.5%) compared with pulmonary metastases (78.4%). It is interesting to note that among the patients with disease recurrence with detectable cfEBV DNA, positive cfEBV DNA results preceded radiological and/or clinical evidence of disease recurrence by a median of 2.3 months (interquartile range, 0.1-9.5 months). In addition, of the 278 cfEBV DNA-positive patients who did not develop disease recurrence, 227 (81.7%) had transiently positive cfEBV DNA that fell to undetectable levels during long-term monitoring. CONCLUSIONS Plasma cfEBV DNA in patients with NPC appears to be an early sign of tumor recurrence, especially extrapulmonary metastases.

Alternative splicing (AS) has emerged as a key event in tumor development and microenvironment formation. However, comprehensive analysis of AS and its clinical significance in head and neck squamous cell carcinoma (HNSC) is urgently required. Methods: Genome-wide profiling of AS events using RNA-Seq data from The Cancer Genome Atlas (TCGA) program was performed in a cohort of 464 patients with HNSC. Cancer-associated AS events (CASEs) were identified between paired HNSC and adjacent normal tissues and evaluated in functional enrichment analysis. Splicing networks and prognostic models were constructed using bioinformatics tools. Unsupervised clustering of the CASEs identified was conducted and associations with clinical, molecular and immune features were analyzed. Results: We detected a total of 32,309 AS events and identified 473 CASEs in HNSC; among these, 91 were validated in an independent cohort (n = 15). Functional protein domains were frequently altered, especially by CASEs affecting cancer drivers, such as PCSK5. CASE parent genes were significantly enriched in pathways related to HNSC and the tumor immune microenvironment, such as the viral carcinogenesis (FDR < 0.001), Human Papillomavirus infection (FDR < 0.001), chemokine (FDR < 0.001) and T cell receptor (FDR

Long noncoding RNAs (lncRNA) play important roles in the tumorigenesis and progression of cancers. However, the clinical significance of lncRNAs and their regulatory mechanisms in nasopharyngeal carcinogenesis (NPC) are largely unknown. Here, based on a microarray analysis, we identified 384 dysregulated lncRNAs, of which, FAM225A was one of the most upregulated lncRNAs in NPC. FAM225A significantly associated with poor survival in NPC. N(6)-Methyladenosine (m6A) was highly enriched within FAM225A and enhanced its RNA stability. FAM225A functioned as an oncogenic lncRNA that promoted NPC cell proliferation, migration, invasion, tumor growth, and metastasis. Mechanistically, FAM225A functioned as a competing endogenous RNA (ceRNA) for sponging miR-590-3p and miR-1275, leading to the upregulation of their target integrin β3 (ITGB3), and the activation of FAK/PI3K/Akt signaling to promote NPC cell proliferation and invasion. In summary, our study reveals a potential ceRNA regulatory pathway in which FAM225A modulates ITGB3 expression by binding to miR-590-3p and miR-1275, ultimately promoting tumorigenesis and metastasis in NPC. Significance: These findings demonstrate the clinical significance of the lncRNA FAM225A in nasopharyngeal carcinoma (NPC) and the regulatory mechanism involved in NPC development and progression, providing a novel prognostic indicator and promising therapeutic target.

A wearable-optimized implementation of a sleep stage classification algorithm that has low detection latency, high detection accuracy and low resource consumption is developed and successfully implemented on a low-power FPGA microsystem for closed-loop electrical brain stimulation. This implementation uses EEG and EMG signals as inputs and classifies stages of sleep. By structurally merging multichannel FIR and window averaging filters into one reconfigurable, multipurpose filter, the new implementation maintains a sleep detection accuracy of 79.7%, a REM detection sensitivity of 98.2%, a REM detection specificity of 89.2% and a detection latency of 0.982 ms, while consuming 6.8 times fewer logic elements and 96.28% less power compared with the current state of the art implementation. With its high performance and low resource usage, this implementation enables a low-power wearable microsystem to perform neural recording, real-time REM sleep stage detection, and closed-loop responsive brain stimulation as a tool to study the mechanisms of neurodegenerative diseases.