ABSTRACT
Metastasis is the biggest obstacle to esophageal squamous cell carcinoma (ESCC) treatment. Single-cell RNA sequencing analyses are applied to investigate lung metastatic ESCC cells isolated from pulmonary metastasis mouse model at multiple timepoints to characterize early metastatic microenvironment. A small population of parental KYSE30 cell line (Cluster S) resembling metastasis-initiating cells (MICs) is identified because they survive and colonize at lung metastatic sites. Differential expression profile comparisons between Cluster S and other subpopulations identified a panel of 7 metastasis-initiating signature genes (MIS), including CD44 and TACSTD2, to represent MICs in ESCC. Functional studies demonstrated MICs (CD44high) exhibited significantly enhanced cell survival (resistances to oxidative stress and apoptosis), migration, invasion, stemness, and in vivo lung metastasis capabilities, while bioinformatics analyses revealed enhanced organ development, stress responses, and neuron development, potentially remodel early metastasis microenvironment. Meanwhile, early metastasizing cells demonstrate quasi-epithelial-mesenchymal phenotype to support both invasion and anchorage. Multiplex immunohistochemistry (mIHC) staining of 4 MISs (CD44, S100A14, RHOD, and TACSTD2) in ESCC clinical samples demonstrated differential MIS expression scores (dMISs) predict lymph node metastasis, overall survival, and risk of carcinothrombosis.
ABSTRACT
BACKGROUND: The aim of the study is to identify clinical and dosimetric factors that could predict the risk of hypothyroidism in nasopharyngeal carcinoma (NPC) patients following intensity-modulated radiotherapy (IMRT). METHODS: A total of 404 non-metastatic NPC patients were included in our study. All patients were treated with IMRT. The thyroid function were performed for all patients before and after radiation at regular intervals. The time onset for developing hypothyroidism was defined as the time interval between the completion of RT and the first recorded abnormal thyroid hormone test. The cumulative incidence rates of hypothyroidism were estimated using Kaplan-Meier method. Univariate and multivariate Cox regression analyses were performed to detect the most promising factors that were associated with hypothyroidism. RESULTS: Median follow up was 60.6 months. The 3-, 5- and 7- year cumulative incidence rate of hypothyroidism was 39.4%, 49.1% and 54.7%, respectively. The median time to primary hypothyroidism and central hypothyroidism were 15.4 months (range 2.9-83.8 months) and 29.9 months (range 19.8-93.6 months), respectively. Univariate and multivariate analyses revealed that younger age, female gender and small thyroid volume were the most important factors in predicting the risk of hypothyroidism. Dtmean (mean dose of thyroid), V30-V50 (percentage of thyroid volume receiving a certain dose level) and VS45-VS60 (the absolute volumes of thyroid spared from various dose levels) remained statistically significant in multivariate analyses. Cutoff points of 45 Gy (Dtmean), 80% (Vt40) and 5 cm3 (VS45Gy) were identified to classify patients as high-risk or low-risk group. CONCLUSION: Thyroid Vt40 highly predicted the risk of hypothyroidism after IMRT for NPC patients. We recommended plan optimization objectives to reduce thyroid Vt40 to 80%. TRIAL REGISTRATION: Retrospectively registered.
Subject(s)
Hypothyroidism/etiology , Nasopharyngeal Carcinoma/radiotherapy , Radiotherapy, Intensity-Modulated , Female , Humans , Male , Middle Aged , Organs at Risk/radiation effects , Radiation Injuries/etiology , Radiotherapy Dosage , Risk Factors , Survivors , Thyroid Function TestsABSTRACT
BACKGROUND: The Cox proportional hazards (CPH) model is the most commonly used statistical method for nasopharyngeal carcinoma (NPC) prognostication. Recently, machine learning (ML) models are increasingly adopted for this purpose. However, only a few studies have compared the performances between CPH and ML models. This study aimed at comparing CPH with two state-of-the-art ML algorithms, namely, conditional survival forest (CSF) and DeepSurv for disease progression prediction in NPC. METHODS: From January 2010 to March 2013, 412 eligible NPC patients were reviewed. The entire dataset was split into training cohort and testing cohort in a ratio of 90%:10%. Ten features from patient-related, disease-related, and treatment-related data were used to train the models for progression-free survival (PFS) prediction. The model performance was compared using the concordance index (c-index), Brier score, and log-rank test based on the risk stratification results. RESULTS: DeepSurv (c-index = 0.68, Brier score = 0.13, log-rank test p = 0.02) achieved the best performance compared to CSF (c-index = 0.63, Brier score = 0.14, log-rank test p = 0.38) and CPH (c-index = 0.57, Brier score = 0.15, log-rank test p = 0.81). CONCLUSIONS: Both CSF and DeepSurv outperformed CPH in our relatively small dataset. ML-based survival prediction may guide physicians in choosing the most suitable treatment strategy for NPC patients.
ABSTRACT
OBJECTIVE: To analyze the therapeutic effect and prognostic factors of nasopharyngeal carcinoma (NPC) patients with distant metastases at initial diagnosis receiving induction chemotherapy with intensity-modulated radiotherapy (IMRT). METHODS: A total of 129 patients who underwent platinum-based induction chemotherapy followed by definitive IMRT with or without concurrent or adjuvant chemotherapy for newly diagnosed distant metastatic NPC in our center between March 2008 and November 2018 were retrospectively analyzed. 41 patients underwent local therapy for metastatic sites. Kaplan-Meier method was used to estimate survival rates, Log-rank test and Cox proportional hazards model were used to figure out independent prognostic factors of overall survival (OS). RESULTS: A total of 66 patients had been dead (median follow-up time, 51.5 months). The median overall survival (OS) time was 54.2 months (range, 7-136 months), and the 1-year, 2-year, 3-year, 5-year overall survival rates were 88.0%,71.0%,58.0%, and 47.0%. Multivariate analysis found that the factors correlated with poor overall survival were pre-treatment serum lactate dehydrogenase (SLDH) >180U/L, chemotherapy cycles<4, and M1 stage subdivision (M1b, single hepatic metastasis and/or multiple metastases excluding the liver; and M1c, multiple hepatic metastases). The 5-year OS rates for M1a, M1b and M1c were 62.6%,40.4% and 0%, respectively. CONCLUSION: Platinum-containing induction chemotherapy combined with IMRT seemed to be advantageous to prolong survival for some NPC patients with synchronous metastases at initial diagnosis. The independent factors to prognosticate OS were pre-treatment SLDH, number of chemotherapy cycles, and M1 subcategories. Prospective clinical trials are needed to confirm the result.
ABSTRACT
PURPOSE: To evaluate the clinical characteristics and prognosis of elderly nasopharyngeal carcinoma (NPC) patients receiving intensity-modulated radiotherapy (IMRT). METHODS: From June 2008 to October 2014, 148 newly diagnosed non-metastatic elderly NPC patients (aged ≥ 70 years) receiving IMRT were recruited. Comorbid condition was evaluated using the age-adjusted Charlson Comorbidity Index (ACCI). Kaplan-Meier method was used to estimate survival rates and the differences were compared using log-rank test. Hazard ratio (HR) and the associated 95% confidence interval (CI) were calculated using Cox proportional hazard model by means of multivariate analysis. RESULTS: The median follow-up time was 66.35 months. Estimated OS rate at 5 years for the entire group was 61.8% (95% confidence interval [CI] 0.542-0.703). The 5-year OS rate of RT alone group was 58.4% (95% [CI] 0.490-0.696) compared with 65.2% (95% [CI] 0.534-0.796) in CRT group (p = 0.45). In patients receiving IMRT only, ACCI score equal to 3 was correlated with superior 5-year OS rate in comparison with higher ACCI score 62.1% (95% [CI] 0.510-0.766) to 48.5% (95% [CI] 0.341-0.689), respectively; p = 0.024). A 5-year OS rate of 63.1% (95% [CI] 0.537-0.741) was observed in patients younger than 75 years old compared with 57.5% (95% [CI] 0.457-0.723) in patients older (p = 0.026). Patients with early-stage disease (I-II) showed better prognosis than patients with advanced-stage (III-IV) disease (5-year OS, 72.3-55.4%, respectively; p = 0.0073). The Cox proportional hazards model suggested that age independently predicted poorer OS (HR, 1.07; 95%CI 1.00-1.15, p = 0.04). CONCLUSION: The survival outcome of patients aged ≥ 70 years receiving IMRT only was similar to chemoradiotherapy with significantly less acute toxicities. Among the population, age is significantly prognostic for survival outcomes.
