Publications by authors named "Jinghua Lai"
Background: Recent studies have underscored the biological significance of RNA modifications in tumorigenicity and progression. However, the potential roles of RNA modifications in immune regulation and the formation of the tumor microenvironment (TME) in head and neck squamous carcinoma (HNSC) remain unclear.
Methods: We collected 199 untreated HNSC samples and clinicopathological data from Fujian Provincial Cancer Hospital.
Article Synopsis
- - The study developed and validated a nomogram—a personalized treatment tool—for adenoid cystic carcinoma of the head and neck using data from 1,069 patients diagnosed between 2004 and 2015 in the SEER database.
- - Key factors like age, tumor site, and TNM stages were identified as significant predictors of patient outcomes through advanced statistical analyses.
- - The nomogram outperformed traditional TNM staging in predicting survival, helping to categorize patients into high-risk and low-risk groups for more tailored treatment plans.
Article Synopsis
- Plasma Epstein-Barr virus (EBV) DNA is important for predicting outcomes in nasopharyngeal carcinoma (NPC), but there's limited research on NPC patients who test negative for EBV DNA.
- This study analyzed 257 non-metastatic NPC patients with negative EBV DNA, using various statistical methods to identify immune-inflammation and nutritional factors that can predict patient survival.
- Results showed that specific indicators like lactate dehydrogenase and calculated immune-inflammation and nutrition indices could effectively stratify patients into risk groups, which improved the predictive accuracy of survival models compared to traditional staging methods.
Purpose: The duration of response to treatment is a significant prognostic indicator, with early recurrence (ER) often predicting poorer survival outcomes in nasopharyngeal carcinoma (NPC) survivors. This study seeks to elucidate the factors contributing to the onset of ER following radiotherapy in NPC survivors.
Methods: This investigation encompassed 2,789 newly diagnosed NPC patients who underwent radical intensity-modulated radiotherapy.
Objective: The role of chronoradiobiology in nasopharyngeal carcinoma (NPC) has not been fully elucidated. We sought to investigate the impact of radiotherapy rhythm on the survival outcomes of individuals to explore a chronomodulated radiation strategy to improve prognosis of NPC.
Methods: A cohort comprising non-metastatic NPC patients subjected to intensity-modulated radiotherapy at Fujian Cancer Hospital between Jan.
Purpose: The objective of this study is to assess the prognostic efficacy of F-fluorodeoxyglucose (F-FDG) positron emission tomography/computed tomography (PET-CT) parameters in nasopharyngeal carcinoma (NPC) and identify the best machine learning (ML) prognostic model for NPC patients based on these F-FDG PET/CT parameters and clinical variables.
Method: A cohort of 678 patients diagnosed with NPC between 2016 and 2020 was analyzed in this study. The model was constructed using four advanced ML algorithms, namely Random Forest (RF), Extreme Gradient Boosting (XGBoost), Least Absolute Shrinkage and Selection Operator (LASSO), and multifactor COX step-up regression.
Objective: This study aims to develop a nomogram integrating inflammation (NLR), Prognostic Nutritional Index (PNI), and EBV DNA (tumor burden) to achieve personalized treatment and prediction for stage IVA NPC. Furthermore, it endeavors to pinpoint specific subgroups that may derive significant benefits from S-1 adjuvant chemotherapy.
Methods: A total of 834 patients diagnosed with stage IVA NPC were enrolled in this study and randomly allocated into training and validation cohorts.