The survival benefit from surgery on patients with large-cell neuroendocrine carcinoma in the lung: a propensity-score matching study.

PURPOSE: This study aimed to investigate the prognostic significance of surgery in large-cell neuroendocrine carcinoma (LCNC) patients. METHODS: A total of 453 patients from the Surveillance, Epidemiology, and End Results database diagnosed with stage T1-4N0-2M0 LCNC from 2010 to 2015 were analyzed. The propensity-score matching analysis with a ratio of 1:1 was used to minimize the bias effect of other clinical characteristics, and 77 pairs of patients' data were performed for subsequent statistical analysis. The Cox proportional hazards model, Kaplan-Meier analysis, and Log-rank test were used in the present study. The primary observational endpoint was cancer-specific survival (CSS). RESULTS: The 1-year, 3-year, and 5-year CSS rates were 60.0%, 45.0%, and 42.0% in those 453 LCNC patients. Compared with patients who underwent surgical resection, patients without surgery had a lower 5-year CSS rate (18.0% vs. 52.0%, P < 0.001). After analyses of multivariable Cox regression, chemotherapy, T stage, N stage, and surgery were identified as independent prognostic indicators (all P < 0.05). In the cohort of old patients, the median survival time was longer in cases after surgery than those without surgery (13.0 months vs. NA, P < 0.001). Besides, in patients with different clinical characteristics, the receiving surgery was a protective prognostic factor (all hazard ratio < 1, all P < 0.05). In addition, for the cohort with stage T1-2N0-2M0, patients after the operation had more improved outcomes than patients without surgery (P < 0.001). CONCLUSIONS: We proposed that the surgery could improve the survival outcomes of LCNC patients with stage T1-4N0-2M0. Moreover, old patients could benefit from surgery.

Reconsidering N component of cancer staging for T1-2N0-2M0 small-cell lung cancer: a retrospective study based on multicenter cohort.

BACKGROUND: The current nodal (pN) classification still has limitations in stratifying the prognosis of small cell lung cancer (SCLC) patients with pathological classifications T1-2N0-2M0. Thus. This study aimed to develop and validate a modified nodal classification based on a multicenter cohort. MATERIALS AND METHODS: We collected 1156 SCLC patients with pathological classifications T1-2N0-2M0 from the Surveillance, Epidemiology, and End Results database and a multicenter database in China. The X-tile software was conducted to determine the optimal cutoff points of the number of examined lymph nodes (ELNs) and lymph node ratio (LNR). The Kaplan-Meier method, the Log-rank test, and the Cox regression method were used in this study. We classified patients into three pathological N modification categories, new pN#1 (pN0-#ELNs > 3), new pN#2 (pN0-#ELNs ≤ 3 or pN1-2-#LNR ≤ 0.14), and new pN#3 (N1-2-#LNR > 0.14). The Akaike information criterion (AIC), Bayesian Information Criterion, and Concordance index (C-index) were used to compare the prognostic, predictive ability between the current pN classification and the new pN component. RESULTS: The new pN classification had a satisfactory effect on survival curves (Log-rank P < 0.001). After adjusting for other confounders, the new pN classification could be an independent prognostic indicator. Besides, the new pN component had a much more accurate predictive ability in the prognostic assessment for SCLC patients of pathological classifications T1-2N0-2M0 compared with the current pN classification in the SEER database (AIC: 4705.544 vs. 4731.775; C-index: 0.654 vs. 0.617, P < 0.001). Those results were validated in the MCDB from China. CONCLUSIONS: The multicenter cohort developed and validated a modified nodal classification for SCLC patients with pathological category T1-2N0-2M0 after surgery. Besides, we propose that an adequate lymph node dissection is essential; surgeons should perform and consider the situation of ELNs and LNR when they evaluate postoperative prognoses of SCLC patients.

The postoperative prognosis of skip-N2 metastasis is favorable in small-cell lung carcinoma patients with pathological N2 classification: a propensity-score-adjusted retrospective multicenter study.

Background: The study on skip-N2 metastasis in small-cell lung cancer (SCLC) is lacking. Therefore, this study aimed to explore the prognostic significance of skip-N2 metastasis based on a multicenter cohort. Methods: We collected 176 SCLC patients with pathological categories T1-4N1-2M0 from four hospitals in China. Survival curves were drawn through the Kaplan-Meier method and compared by the log-rank test. The Cox regression method was used to calculate the hazard ratio (HR) and 95% confidence interval of the characteristics for cancer-specific survival (CSS). Two propensity-score methods were used to reduce the bias, including the inverse probability of treatment weighting (IPTW) and propensity-score matching (PSM). Results: This multicenter database included 64 pN1 patients, 63 non-skip-N2 cases, and 49 skip-N2 cases. Skip-N2 and the non-skip-N2 patients had gap CSS rates (skip-N2 no versus yes: 41.0% versus 62.0% for 1-year CSS, 32.0% versus 46.0% for 2-year CSS, and 20.0% versus 32.0% for 3-year CSS). After PSM, there were 32 pairs of patients to compare survival differences between N2 and skip-N2 diseases, and 34 pairs of patients to compare prognostic gaps between N1 and skip-N2 diseases, respectively. The results of IPTW and PSM both suggested that skip-N2 cases had better survival outcomes than the non-skip-N2 cases (IPTW-adjusted HR = 0.578; PSM-adjusted HR = 0.510; all log-rank p < 0.05). Besides, the above two analytic methods showed no difference in prognoses between pN1 and skip-N2 diseases (all log-rank p > 0.05). Conclusions: Skip-N2 patients were confirmed to have a better prognosis than non-skip-N2 patients. Besides, there was no survival difference between pN1 and skip-N2 cases. Therefore, we propose that the next tumor-node-metastasis staging system needs to consider the situation of skip metastasis with lymph nodes in SCLC.

COVID-19 or treatment associated immunosuppression may trigger hepatitis B virus reactivation: A case report.

BACKGROUND: Since the initial recognition of coronavirus disease 2019 (COVID-19) in Wuhan, this infectious disease has spread to most areas of the world. The pathogenesis of COVID-19 is yet unclear. Hepatitis B virus (HBV) reactivation occurring in COVID-19 patients has not yet been reported. CASE SUMMARY: A 45-year-old hepatitis B man with long-term use of adefovir dipivoxil and entecavir for antiviral therapy had HBV reactivation after being treated with methylprednisolone for COVID-19 for 6 d. CONCLUSION: COVID-19 or treatment associated immunosuppression may trigger HBV reactivation.

Multicenter analysis and a rapid screening model to predict early novel coronavirus pneumonia using a random forest algorithm.

ABSTRACT: Early determination of coronavirus disease 2019 (COVID-19) pneumonia from numerous suspected cases is critical for the early isolation and treatment of patients.The purpose of the study was to develop and validate a rapid screening model to predict early COVID-19 pneumonia from suspected cases using a random forest algorithm in China.A total of 914 initially suspected COVID-19 pneumonia in multiple centers were prospectively included. The computer-assisted embedding method was used to screen the variables. The random forest algorithm was adopted to build a rapid screening model based on the training set. The screening model was evaluated by the confusion matrix and receiver operating characteristic (ROC) analysis in the validation.The rapid screening model was set up based on 4 epidemiological features, 3 clinical manifestations, decreased white blood cell count and lymphocytes, and imaging changes on chest X-ray or computed tomography. The area under the ROC curve was 0.956, and the model had a sensitivity of 83.82% and a specificity of 89.57%. The confusion matrix revealed that the prospective screening model had an accuracy of 87.0% for predicting early COVID-19 pneumonia.Here, we developed and validated a rapid screening model that could predict early COVID-19 pneumonia with high sensitivity and specificity. The use of this model to screen for COVID-19 pneumonia have epidemiological and clinical significance.

A rapid screening model for early predicting novel coronavirus pneumonia in Zhejiang Province of China: a multicenter study.

Novel coronavirus pneumonia (NCP) has been widely spread in China and several other countries. Early finding of this pneumonia from huge numbers of suspects gives clinicians a big challenge. The aim of the study was to develop a rapid screening model for early predicting NCP in a Zhejiang population, as well as its utility in other areas. A total of 880 participants who were initially suspected of NCP from January 17 to February 19 were included. Potential predictors were selected via stepwise logistic regression analysis. The model was established based on epidemiological features, clinical manifestations, white blood cell count, and pulmonary imaging changes, with the area under receiver operating characteristic (AUROC) curve of 0.920. At a cut-off value of 1.0, the model could determine NCP with a sensitivity of 85% and a specificity of 82.3%. We further developed a simplified model by combining the geographical regions and rounding the coefficients, with the AUROC of 0.909, as well as a model without epidemiological factors with the AUROC of 0.859. The study demonstrated that the screening model was a helpful and cost-effective tool for early predicting NCP and had great clinical significance given the high activity of NCP.

Endobronchial Ultrasound-Guided Iodine-125 Radioactive Seed Implantation as a Novel Therapy for Mediastinal Tumors.

Objective: This study aims to test the treatment effect of endobronchial ultrasound (EBUS)-guided interstitial iodine-125 (125I) seed implantation for mediastinal lymph node metastasis or advanced mediastinal lung cancer. Materials and Methods: The patients with mediastinal lymph node metastasis or advanced mediastinal lung cancer, who had undergone surgery for resection of primary lesions and repeated chemotherapy or external radiotherapy, were selected and scheduled to undergo EBUS-guided 125I seed implantation from December 2015 to May 2017. Forty patients were included into this study. Clinical data of these patients were collected and the short-term effects were observed. Then, the feasibility for treating mediastinal tumors was retrospectively analyzed. The follow-up period ranged within 1-6 months. Results: The procedure was successfully completed, and all patients well tolerated the procedure without any major complications. The response evaluation criteria in solid tumors were utilized to test the treatment effect, and the overall response rates (complete remission + partial remission) at postoperative 2, 4, and 6 months were 65.00% (13/20), 80.00% (16/20), and 85.0% (17/20), respectively. All patients of this study survived throughout the follow-up period. Conclusions: This experience revealed that EBUS-guided 125I radioactive seed implantation is effective and safe, and is a prospective approach for treating patients with mediastinal lymph node metastasis or advanced mediastinal lung cancer.

[Th17 and Treg cell levels in patients with sarcoidosis and their relation to disease activation].

OBJECTIVE: To investigate the Th17 cell and Treg cell levels in patients with sarcoidosis, and their relation to disease activation and glucocorticoids treatment. METHODS: Twenty-three sarcoidosis patients admitted in Yinzhou People's Hospital from January 2009 to December 2013 and 25 healthy subjects (controls) were included in this study. The blood samples and bronchoalveolar lavage fluid (BALF) samples were collected in all patients before and after glucocorticoids treatment. The serum angiotensin converting enzyme (SACE) levels were detected. The percentages of Th17 cells and Treg cells in peripheral blood and BALF were determined by flow cytometry, the concentrations of cytokines in serum and supernatants of BALF were measured by enzyme-linked immunosorbent assay (ELISA). The levels of ROR-γt and Foxp3 mRNA transcripts in peripheral blood mononuclear cells (PBMC) were determined by real-time quantitative PCR. The potential correlation between the percentages of Th17 or Treg cells and SACE levels was evaluated. RESULTS: Compared with healthy controls, significantly higher frequencies of Th17 cells (4.34%±0.89% vs 1.60% ± 0.42%), lower frequencies of Treg cells (1.28% ± 0.37% vs 3.39% ± 0.50%) in peripheral blood were observed. Higher level of ROR-γt mRNA (21.31 ± 3.55 vs 3.63 ± 1.00) and lower level of Foxp3 mRNA (1.60 ± 0.24 vs 3.12 ± 0.76) in peripheral blood were detected in sarcoidosis patients in active stage (before glucocorticoids treatment) (all P<0.01). After the treatment of glucocorticoids, these index in peripheral blood were significantly improved (Th17 cells 2.16% ± 0.68%，Treg cells 2.21% ± 0.42%, ROR-γt mRNA 10.15 ± 1.93, Foxp3 mRNA 2.44 ± 0.38) ( all P<0.05). The changing trends of Th17 and Treg cell cytokines levels in serum were consistent with two type cells. Meanwhile, the changing trends of above index in BALF of patients treated by glucocorticoids were consistent with those in sarcoidosis patients in active stage. The increased ratios of Th17 cells to Treg cells were positively correlated with the level of serum SACE (r= 0.781). CONCLUSION: The imbalance of Th17 cells and Treg cells in peripheral blood and airway may be involved in the pathogenesis of sarcoidosis, which was associated with the activity of disease, and the treatment of glucocorticoids may achieve a therapeutic effect by correcting the immune imbalance.