A clinical prognostic model of oxidative stress-related genes linked to tumor immune cell infiltration and the prognosis of ovarian cancer patients.

Background: According to statistics, ovarian cancer (OV) is the most prevalent type of gynecologic malignancy and has the highest mortality rate of all gynecologic tumors. Although several studies have shown that oxidative stress (OS) contributes significantly to the onset and progression of cancer, the role of OS in OV needs to be investigated further. Thus, it is critical to comprehend the function of OS-related genes in OV. Methods: In this study, all data related to the transcriptome and clinical status of the patients were retrieved from "The Cancer Genome Atlas" (TCGA) and "Gene Expression Omnibus" (GEO) databases. Using the unsupervised cluster analysis technique, all patients with OV were classified into two different subtypes (categories) based on the OS gene. All hub genes were screened using the weighted gene co-expression network analysis (WGCNA). Since the hub genes and the differentially expressed genes (DEGs) in both categories were found to intersect, the univariate Cox regression analysis was implemented. A multivariate Cox analysis was also performed to construct a novel clinical prognosis model, which was validated using data from the GEO cohort. In addition, the relationship between risk score and immune cell infiltration level was evaluated using CIBERSORT. Finally, qRT-PCR was used to confirm the expression of the genes used to construct the model. Results: Two subtypes of OS were obtained. The findings indicated that OS-C1 had a better survival outcome than OS-C2. The results of WGCNA yielded 112 hub genes. For univariate COX regression analyses, 49 OS-related trait genes were obtained. Finally, a clinical prognostic model containing two genes was constructed. This model could differentiate between patients with OV having varying years of survival in the TCGA and GEO cohorts. The model risk score was verified as an independent prognostic indicator. According to the results of CIBERSORT, many tumor-infiltrating immune cells were found to be significantly related to the risk score. Furthermore, the results revealed that patients with low-risk OV in the CTLA4 treatment group had a high likelihood of benefiting from immunotherapy. qRT-PCR results also showed that the expression of MARVELD1 and VSIG4 was high in the OV samples. Conclusions: Analysis of the results suggested that the newly developed model, which contained two characteristic OS-related genes, could successfully predict the survival outcomes of all patients with OV. The findings of this study could offer valuable information and insights into the refinement of personalized therapy and immunotherapy for OV in the future.

Bone metastases in oral squamous cell carcinoma: A real-world retrospective study based on the SEER database.

BACKGROUND: Bone metastases are rare in oral squamous cell carcinoma (OSCC). It has not been defined on the risk and prognosis of OSCC patients with bone metastases. The purpose of this study was to assess the factors associated with the development and prognosis of bone metastases among OSCC patients. METHODS: Demographic and clinicopathological characteristics of OSCC patients diagnosed between 2010 and 2019 was retrieved from the Surveillance, Epidemiology, and End Results (SEER) database. To explore risk factors for developing bone metastases and prognosis, the univariate and multivariate logistic and Cox regression analysis were performed, further the predictive nomogram models were constructed. RESULTS: The incidence rate of bone metastases in newly diagnosed OSCC patients was 0.91 % (95 %CI 0.81% -1.02 %). Ultimately, 137 OSCC patients with bone metastases and 19,469 OSCC patients without bone metastases were included in the present study. Pathological grade, primary site, T/N stage and distant organ metastases (liver/lung/brain) were independently associated with the risk of developing bone metastases among OSCC patients. The C-index of a constructed risk-predicting nomogram was 0.86 (95 %CI 0.83-0.89). Multivariate Cox regression analysis indicated that lung metastases, the use of surgery as well as chemotherapy were three independent prognostic factors. The C-indexes of constructed risk-predicting nomograms were 0.70 (95 %CI 0.65-0.75), 0.68 (95 %CI 0.63-0.73) for OS and CSS, respectively. Calibration plots demonstrated an agreementbetween the established nomogram's predicted survival and actual survival. In addition, decision curve analysis (DCA) indicated these established nomograms had considerable net benefits and clinical utilities. CONCLUSION: This study defined the risk and prognostic factors for bone metastases among OSCC patients and the established nomograms were well calibrated for discrimination to predict bone metastasis development and prognosis.

The enrichment of the gut microbiota Lachnoclostridium is associated with the presence of intratumoral tertiary lymphoid structures in hepatocellular carcinoma.

Backgrounds and aims: Immunotherapies have formed an entirely new treatment paradigm for hepatocellular carcinoma (HCC). Tertiary lymphoid structure (TLS) has been associated with good response to immunotherapy in most solid tumors. Nonetheless, the role of TLS in human HCC remains controversial, and recent studies suggest that their functional heterogeneity may relate to different locations within the tumor. Exploring factors that influence the formation of TLS in HCC may provide more useful insights. However, factors affecting the presence of TLSs are still unclear. The human gut microbiota can regulate the host immune system and is associated with the efficacy of immunotherapy but, in HCC, whether the gut microbiota is related to the presence of TLS still lacks sufficient evidence. Methods: We performed pathological examinations of tumor and para-tumor tissue sections. Based on the location of TLS in tissues, all patients were divided into intratumoral TLS (It-TLS) group and desertic TLS (De-TLS) group. According to the grouping results, we statistically analyzed the clinical, biological, and pathological features; preoperative gut microbiota data; and postoperative pathological features of patients. Results: In a retrospective study cohort of 60 cases from a single center, differential microbiota analysis showed that compared with the De-TLS group, the abundance of Lachnoclostridium, Hungatella, Blautia, Fusobacterium, and Clostridium was increased in the It-TLS group. Among them, the enrichment of Lachnoclostridium was the most significant and was unrelated to the clinical, biological, and pathological features of the patients. It can be seen that the difference in abundance levels of microbiota is related to the presence of TLS. Conclusion: Our findings prove the enrichment of Lachnoclostridium-dominated gut microbiota is associated with the presence of It-TLS in HCC patients.

Predicting very early recurrence in intrahepatic cholangiocarcinoma after curative hepatectomy using machine learning radiomics based on CECT: A multi-institutional study.

BACKGROUND: Even after curative resection, the prognosis for patients with intrahepatic cholangiocarcinoma (iCCA) remains disappointing due to the extremely high incidence of postoperative recurrence. METHODS: A total of 280 iCCA patients following curative hepatectomy from three independent institutions were recruited to establish the retrospective multicenter cohort study. The very early recurrence (VER) of iCCA was defined as the appearance of recurrence within 6 months. The 3D tumor region of interest (ROI) derived from contrast-enhanced CT (CECT) was used for radiomics analysis. The independent clinical predictors for VER were histological stage, AJCC stage, and CA199 levels. We implemented K-means clustering algorithm to investigate novel radiomics-based subtypes of iCCA. Six types of machine learning (ML) algorithms were performed for VER prediction, including logistic, random forest (RF), neural network, bayes, support vector machine (SVM), and eXtreme Gradient Boosting (XGBoost). Additionally, six clinical ML (CML) models and six radiomics-clinical ML (RCML) models were developed to predict VER. Predictive performance was internally validated by 10-fold cross-validation in the training cohort, and further evaluated in the external validation cohort. RESULTS: Approximately 30 % of patients with iCCA experienced VER with extremely discouraging outcome (Hazard ratio (HR) = 5.77, 95 % Confidence Interval (CI) = 3.73-8.93, P < 0.001). Two distinct iCCA subtypes based on radiomics features were identified, and subtype 2 harbored a higher proportion of VER (47.62 % Vs 25.53 %) and significant shorter survival time than subtype 1. The average AUC values of the CML and RCML models were 0.744 ± 0.018, and 0.900 ± 0.014 in the training cohort, and 0.769 ± 0.065 and 0.929 ± 0.027 in the external validation cohort, respectively. CONCLUSION: Two radiomics-based iCCA subtypes were identified, and six RCML models were developed to predict VER of iCCA, which can be used as valid tools to guide individualized management in clinical practice.

TRIM31 promotes the progression of oral squamous cell carcinoma through upregulating AKT phosphorylation and subsequent cellular glycolysis.

The regulation of protein kinase B (AKT) phosphorylation by Tripartite motif-containing protein 31 (TRIM31) is implicated as an essential mechanism in the progression of many malignant tumors. Nevertheless, the function of the TRIM31/AKT pathway in oral squamous cell carcinoma (OSCC) remains elusive. Here, immunohistochemistry analysis of human OSCC tissue microarrays indicated significantly higher levels of TRIM31 and phosphorylated AKT (p-AKT) in OSCC tumors than in adjacent tissue samples. Also, we detected a positive association between TRIM31 expression and clinical OSCC development. In in vitro studies, TRIM31 knockdown severely impaired OSCC cell growth, invasion, and migration. By contrast, TRIM31 overexpression improved these cell behaviors, while subsequent AKT inhibition abrogated the effect. In vivo tumorigenesis experiments using nude mice also validated the effects of TRIM31/AKT signaling in tumor growth. Furthermore, TRIM31 upregulation facilitated glucose uptake, as well as lactate and adenosine triphosphate production of OSCC cells, while such positive effects on glycolysis and malignant cell phenotypes were reversed by treatment with AKT or glycolysis inhibitors. In conclusion, TRIM31 may improve OSCC progression by enhancing AKT phosphorylation and subsequent glycolysis. Hence, TRIM31 has the potential as a treatment target in OSCC.

Advanced machine learning model for predicting Crohn's disease with enhanced ant colony optimization.

Changes in human lifestyles have led to a dramatic increase in the incidence of Crohn's disease worldwide. Predicting the activity and remission of Crohn's disease has become an urgent research problem. In addition, the influence of each attribute in the test sample on the prediction results and the interpretability of the model still deserves further investigation. Therefore, in this paper, we proposed a wrapper feature selection classification model based on a combination of the improved ant colony optimization algorithm and the kernel extreme learning machine, called bIACOR-KELM-FS. IACOR introduces an evasive strategy and astrophysics strategy to balance the exploration and exploitation phases of the algorithm and enhance its optimization capabilities. The optimization capability of the proposed IACOR was validated on the IEEE CEC2017 benchmark test function. And the prediction was performed on Crohn's disease dataset. The results of the quantitative analysis showed that the prediction accuracy of bIACOR-KELM-FS for predicting the activity and remission of Crohn's disease reached 98.98%. The analysis of important attributes improved the interpretability of the model and provided a reference for the diagnosis of Crohn's disease. Therefore, the proposed model is considered a promising adjunctive diagnostic method for Crohn's disease.

Targeted deprivation of methionine with engineered Salmonella leads to oncolysis and suppression of metastasis in broad types of animal tumor models.

The strong dependency of almost all malignant tumors on methionine potentially offers a pathway for cancer treatment. We engineer an attenuated strain of Salmonella typhimurium to overexpress an L-methioninase with the aim of specifically depriving tumor tissues of methionine. The engineered microbes target solid tumors and induce a sharp regression in several very divergent animal models of human carcinomas, cause a significant decrease in tumor cell invasion, and essentially eliminate the growth and metastasis of these tumors. RNA sequencing analyses reveal that the engineered Salmonella reduce the expression of a series of genes promoting cell growth, cell migration, and invasion. These findings point to a potential treatment modality for many metastatic solid tumors, which warrants further tests in clinical trials.

Stem Cell-Associated Signatures Help to Predict Diagnosis and Prognosis in Ovarian Serous Cystadenocarcinoma.

Ovarian serous cystadenocarcinoma (OV) is a fatal gynecologic cancer with a five-year survival rate of only 46%. Resistance to platinum-based chemotherapy is a prevalent factor in OV patients, leading to increased mortality. The platinum resistance in OV is driven by transcriptome heterogeneity and tumor heterogeneity. Studies have indicated that ovarian cancer stem cells (OCSCs), which are chemoresistant and help in disease recurrence, are enriched by platinum-based chemotherapy. Stem cells have a significant influence on the OV progression and prognosis of OV patients and are key pathology mediators of OV. However, the molecular mechanisms and targets of OV have not yet been fully understood. In this study, systematic research based on the TCGA-OV dataset was conducted for the identification and construction of key stem cell-related diagnostic and prognostic models for the development of multigene markers of OV. A six-gene diagnostic and prognostic model (C19orf33, CBX2, CSMD1, INSRR, PRLR, and SLC38A4) was developed based on the differentially expressed stem cell-related gene model, which can act as a potent diagnostic biomarker and can characterize the clinicopathological properties of OV. The key genes related to stem cells were identified by screening the genes differentially expressed in OV and control samples. The mRNA-miRNA-TF molecular network for the six-gene model was constructed, and the potential biological significance of this molecular model and its impact on the infiltration of immune cells in the OV tumor microenvironment were elucidated. The differences in immune infiltration and stem cell-related biological processes were determined using gene set variation analysis (GSVA) and single-sample gene set enrichment analysis (ssGSEA) for the selection of molecular treatment options and providing a reference for elucidating the posttranscriptional regulatory mechanisms in OV.

Herpes Virus Entry Mediator Costimulation Signaling Enhances CAR T-cell Efficacy Against Solid Tumors Through Metabolic Reprogramming.

Costimulatory domains (CSD) of 4-1BB and CD28 are most widely used in chimeric antigen receptor (CAR)-engineered T cells. These CAR T cells have shown encouraging efficacy in the treatment of hematologic malignancies but have limited efficacy in solid tumors. The herpes virus entry mediator (HVEM) is a costimulatory molecule with a novel downstream signaling pathway. In response to target cells, CAR T cells with a HVEM CSD (HVEM-CAR T) displayed more robust cytokine release and cytotoxicity than 4-1BB-CAR T or CD28-CAR T in vitro. Furthermore, HVEM-CAR T showed superior therapeutic efficacy in several mouse tumor models. Mechanistically, the HVEM CSD endowed CAR T cells with attenuated exhaustion, improved function and persistence, and enhanced metabolic activities in tumor tissue compared with 4-1BB-based or CD28-based CAR T cells. These studies establish that the HVEM CSD has the potential to improve the therapeutic efficacy of CAR T cells against solid tumors.

Assessment of immediate clotting after flapless extraction using piezosurgery or turbine handpiece in patients receiving dual antiplatelet therapy.

PURPOSE: This study aimed to investigate the efficacy of piezosurgery (PI) in promoting immediate clotting after flapless extraction in patients undergoing dual antiplatelet therapy (DAPT). METHODS: In this randomized controlled trial, 80 DAPT patients were equally divided into the PI and turbine handpiece (TH) groups. Accordingly, flapless extraction of a single tooth using PI or TH was performed on each patient, and the immediate clotting status was evaluated. The results of the preoperative hematological examinations, surgery-related variables and postoperative complications were recorded for analysis. RESULTS: Both groups presented with low platelet aggregation and similar coagulation functions. The PI group exhibited a higher proportion of patients with normal intra-alveolar clotting (≤30 min) (70% vs. 40%, P = 0.007) and fewer intraoperative complications (25% vs. 47.5%, P = 0.036) than that in the TH group. Logistic regression analysis indicated that the applied instrument was an independent risk factor for prolonged immediate bleeding (odds ratio = 3.10, 95% confidence interval: 1.20-8.00, P = 0.019). Intergroup differences were insignificant in terms of the other surgery-related variables and postoperative complications, except for the longer surgical duration in the PI group. CONCLUSION: The application of PI may contribute to better immediate clotting in DAPT patients after flapless extraction compared with the use of TH.

Malignant Myoepithelioma of the Head and Neck: Demographics, Clinicopathological Characteristics, Treatment, and Prognosis.

Malignant myoepithelioma of the head and neck (HNMM) is a rare malignancy, and its characteristics and survival rates have not been well-defined. This study aimed to define the epidemiology of HNMM and identify the prognostic factors associated with the disease. Data on all patients diagnosed with HNMM between 1991 and 2016 were gathered from the Surveillance Epidemiology and End Results (SEER) database. The demographics, clinicopathological characteristics, treatment, and prognoses of the patients were described. Cox regression analysis was used to identify the prognostic factors, and the prognostic nomograms for overall survival (OS) and disease-specific survival (DSS) were constructed. A total of 333 cases of HNMM were identified. The average age at diagnosis was 60.6 years, and 50.1% of the patients were men. After diagnosis, 46.2% of patients underwent surgery alone, 43.5% of patients underwent surgery and radiotherapy, and 3.6% of patients received only radiotherapy. Survival analysis showed that the 5-year OS and DSS for all HNMM patients were 69.7 and 82.1%, respectively. In the multivariate analysis model, the undifferentiated pathological grade (P <0.05) and M1 in the M category (P <0.01) were independent prognostic factors for poor OS and DSS, whereas the use of surgical resection was an independent favorable prognostic factor for both OS and DSS (P <0.05). The prognostic nomograms for OS and DSS prediction were constructed; the C-index values for OS and DSS prediction were 0.78 (95% CI 0.70-0.86) and 0.79 (95% CI 0.67-0.90), respectively. In conclusion, this SEER data-based study demonstrated that HNMM patients often had a favorable prognosis, and distant metastasis, pathological grade, and the use of surgery contributed to their survival. Furthermore, we developed a prognostic nomogram to predict OS and DSS for HNMM patients to aid physicians in the clinical management of this rare disease.

Application of MRT-qPCR for pathogen detection of lower respiratory tract infection.

OBJECTIVE: To analyze and clarify the application value of multiplex quantitative real-time PCR (MRT-PCR) assay in detecting pathogens involved in lower respiratory tract infection (LRTI), so as to realize accurate and rapid detection of respiratory pathogens. METHODS: Bronchial alveolar lavage fluid (BALF) specimens from 186 patients with LRTI collected in the Cangzhou Central Hospital from June 2020 to September 2021 were analyzed retrospectively. Pathogen detection was performed by both MRT-PCR and direct immunofluorescence assay (DFA), and the results of different inspection methods were compared. RESULTS: Among the seven pathogens detected by MRT-PCR, 140 positive specimens were identified out of the 186 patients, with the top three pathogens with the highest positive rates being influenza A virus (Flu A; 36 [19.35%]), respiratory syncytial virus (RSV; 30 [16.13%]) and human adenovirus (HAdV; 23 [12.37%]), and the pathogen with the lowest positive rate being parainfluenza virus type 3 (PIV3; 9 [4.84%]). DFA showed 110 pathogen-positive specimens, and the top three pathogens with the highest positive rates were Flu A (30 [16.13%]), HAdV (21 [11.29%]) and RSV (19 [10.22%]). The total sensitivity and accuracy of MRT-PCR assay were 93.01% and 98.69% respectively, which were statistically higher than those of 48.45% and 91.24% of DFA (P<0.05). The two inspection methods showed no significant difference in specificity (99.4% for MRT-PCR assay and 97.28% for DFA) (P>0.05). CONCLUSIONS: MRT-PCR is rapid, accurate and specific in detecting pathogens of LRTI, which significantly improves the detection rate, with reliable performance and it has high clinical application value.

Comprehensive Analysis of Tumor Immune Microenvironment Characteristics for the Prognostic Prediction and Immunotherapy of Oral Squamous Cell Carcinoma.

Background: Oral squamous cell carcinoma (OSCC) is the most common cancer of oral and maxillofacial region. A recent clinical research has shown that tumor immune microenvironment (TIME)cells are closely related to immunotherapy sensitivity and OSCC prognosis. Nonetheless, a comprehensive analysis of TIME in OSCC has not been reported. Methods: Bioinformatics and computational algorithms were employed to determine the significance of TIME cells in 257 OSCC patients. TIME scores were measured by three TIME models, and then used to evaluate the prognosis of OSCC patients. Results: High TIME score was characterized by better prognosis in OSCC patients less than 60 years old, overexpression of immunotherapy targets (e.g., PD-1 and CLTA-4), and higher T-cell activity to inhibit tumor growth. Besides, poor prognosis was associated with low time score. Conclusion: TIME score exhibited potential as a prognostic biomarker and an indicator in predict immunotherapeutic outcomes. Through the understanding of TIME model, this study can provide a better scheme for immunotherapy as the effective treatment of OSCC patients in the future.

Genome-wide analysis and expression profiling of Cation/H+ exchanger (CAX) family genes reveal likely functions in cadmium stress responses in poplar.

Cadmium, a toxic heavy metal, seriously affects human health and ecological security. The cation/H+ exchanger (CAX) family is a unique metal transporter that plays a crucial role in Cd acquisition, transfer, and remission in plants. Although there are many studies related to the genome-wide analysis of Populus trichocarpa, little research has been done on the CAX family genes, especially concerning Cd stress. In this study, genome-wide analysis of the Populus CAX family identified seven stress-related CAX genes. The evolutionary tree indicated that the CaCA family genes were grouped into four clusters. Moreover, seven pairs of genes were derived by segmental duplication in poplars. Cis-acting element analysis identified numerous stress-related elements in the promoters of diverse PtrCAXs. Furthermore, some PtrCAXs were up-regulated by drought, beetle, and mechanical damage, indicating their possible function in regulating stress response. Under cadmium stress, all CAX genes in the roots were up-regulated. Our findings suggest that plants may regulate their response to Cd stress through the TF-CAXs module. Comprehensively investigating the CAX family provides a scientific basis for the phytoremediation of heavy metal pollution by Populus.

Ivermectin induces apoptosis of esophageal squamous cell carcinoma via mitochondrial pathway.

BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is the most predominant primary malignant tumor among worldwide, especially in China. To date, the successful treatment remains a mainly clinical challenge, it is imperative to develop successful therapeutic agents. METHODS: The anti-proliferative effect of ivermectin on ESCC is investigated in cell model and in nude mice model. Cell apoptosis was assessed using flow cytometry, TUNEL assay and western blotting. Mitochondrial dysfunction was determined by reactive oxygen species accumulation, mitochondrial membrane potential and ATP levels. RESULTS: Our results determined that ivermectin significantly inhibited the proliferation of ESCC cells in vitro and in vivo. Furthermore, we found that ivermectin markedly mediated mitochondrial dysfunction and induced apoptosis of ESCC cells, which indicated the anti-proliferative effect of ivermectin on ESCC cells was implicated in mitochondrial apoptotic pathway. Mechanistically, ivermectin significantly triggered ROS accumulation and inhibited the activation of NF-κB signaling pathway and increased the ratio of Bax/Bcl-2. CONCLUSIONS: These finding indicated that ivermectin has significant anti-tumour potential for ESSC and may be a potential therapeutic candidate against ESCC.

Lenvatinib enhances T cell immunity and the efficacy of adoptive chimeric antigen receptor-modified T cells by decreasing myeloid-derived suppressor cells in cancer.

BACKGROUND: Lenvatinib, a tyrosine kinase inhibitor, has been approved for the treatment of several cancers. However, its regulatory activity and related mechanisms on T cell antitumour immunity need to be further investigated. METHODS: The antitumour activity of lenvatinib in immunocompetent and immunodeficient mice was compared to determine the role of T cell immunity. The antitumour activity of T cells was analysed by cytokine production and adoptive T cell therapy. The immunosuppressive effects of MDSCs on T cells were determined by detecting cytokine production in T cells after being cocultured with MDSCs. The adjuvant immunotherapy effect of lenvatinib was determined by combination therapy with CAR-T cells targeted carbonic anhydrase IX (CAIX) in a murine renal cancer model. RESULTS: The antitumour activity of lenvatinib was greater in immunocompetent mice than in immunodeficient mice and was attenuated by CD8+T cell depletion. Lenvatinib increased proliferation, tumour infiltration and antitumour activity of T cells. Importantly, adoptive transfer of lenvatinib-treated T cells showed a long-term antitumour response in vivo. Mechanistically, lenvatinib upregulated T cell-related chemokines (CXCL10 and CCL8) in tumours and decreased the frequency and immunosuppressive activity of MDSCs. Furthermore, lenvatinib enhanced the efficacy of CAR-T cells in a murine renal cancer model. CONCLUSION: Our study revealed novel antitumour mechanisms of lenvatinib by enhancing T cell-mediated antitumour immunity. These findings are of great significance for guiding the clinical use of lenvatinib and provide a good candidate for future combination therapy with T-cell therapies or other immunotherapies.

The Prognostic Value of Retraction Clefts in Chinese Invasive Breast Cancer Patients.

Some studies reported the correlation between retraction clefts (RCs) and the clinicopathological features as well as prognosis in invasive breast carcinoma. However, limited number of investigations have been done and controversial results were reported. Larger population studies around the world might help to provide more accurate and comprehensive information. Thus, we examined the correlation between the extent of RCs and the clinicopathological features as well as the prognosis in 541 invasive breast carcinoma samples from Central China in this study. The statistical analyses were performed with the Pearson χ2 tests and univariate Cox proportional hazards regression assays. Compared with other studies, lower RCs occurrence rate (15.5%) was observed in Chinese breast cancer patients and opposite association between the presence of RCs and lymph nodes metastasis was identified, in which both progression free survival (PFS) and overall survival (OS) were improved with the presence of RCs in our study. Besides, despite some statistically significant associations between RCs and molecular subtypes, RCs and estrogen receptor status, the results were largely depending on the stratification methods. Generally, no convincing association was detected between the extent of RCs and the clinicopathological features or prognosis. In sum, the extent of RCs showed limited value as a prognostic predictor in invasive breast carcinoma patients from Central China.

Tyrosine Kinase Inhibitor Cabozantinib Inhibits Murine Renal Cancer by Activating Innate and Adaptive Immunity.

BACKGROUND: Advanced renal cell carcinoma (RCC) has a very dismal prognosis. Cabozantinib, a tyrosine kinase inhibitor, has been approved for the treatment of advanced RCC. However, the impact of cabozantinib on the immune microenvironment of RCC remains poorly understood. METHODS: Kaplan-Meier survival curves were constructed to examine the correlation between intratumor infiltration of neutrophils and patient prognosis in RCC. Infiltration and effector function of neutrophils and T cells in response to cabozantinib treatment were investigated in a murine RCC model. RESULTS: A retrospective study of 307 RCC patients indicated that neutrophils were recruited into tumor tissues, and increased neutrophil infiltration was associated with improved clinical outcomes. In a murine model of RCC, cabozantinib treatment significantly increased both intratumor infiltration and anti-tumor function of neutrophils and T cells. Mechanistically, we found that cabozantinib treatment induced expression of neutrophil-related chemokines (CCL11 and CXCL12) and T cell-related chemokines (CCL8 and CX3CL1) in the tumor microenvironment. Furthermore, depletion of neutrophils and CD8+ T cells compromised the therapeutic efficacy of cabozantinib. Importantly, cabozantinib treatment induced long-term anti-tumor T cell response. CONCLUSIONS: Our study revealed novel mechanisms of the therapeutic effects of cabozantinib on RCC by activating both neutrophil-mediated innate immunity and T cell-mediated adaptive immunity. These findings are of great significance for guiding the clinical use of cabozantinib and provide a good candidate for future combination therapy with T-cell therapies or other immunotherapies.

Patients With cT1N0M0 Oral Squamous Cell Carcinoma Benefit From Elective Neck Dissection: A SEER-Based Study.

BACKGROUND: The incidence of oral squamous cell carcinoma (OSCC) is increasing, with an estimated 369,000 new patients each year worldwide. Surgery is the primary treatment modality for early-stage OSCC, but there is scant evidence to prove the value of elective neck dissection (END) for relatively small early-stage OSCC. This study aimed to identify factors predicting survival for patients with clinical stage T1N0M0 (cT1N0M0) OSCC and whether up-front END improved survival. PATIENTS AND METHODS: Patients with cT1N0M0 OSCC who underwent tumor resection with or without END were identified and extracted from the SEER database. Kaplan-Meier survival analysis was used to assess overall survival and disease-specific survival. Prognostic factors were determined using Cox regression analysis. RESULTS: A total of 5,752 patients with cT1N0M0 OSCC were extracted, of whom 2,194 (38.1%) underwent tumor resection surgery with concurrent END and 3,558 (61.9%) underwent only tumor resection. In a multivariate Cox analysis, a relatively advanced age (>62 years) and relatively high pathologic grade were the significant negative predictors, but married status (hazard ratio, 0.709; P=.006) and undergoing END (hazard ratio, 0.708; P<.001) were identified as significant independent positive factors. CONCLUSIONS: Patients with cT1N0M0 OSCC gain significant overall and disease-specific survival benefit from END.

Clinicopathological characteristics, treatment and prognosis of head & neck small cell carcinoma: a SEER population-based study.

BACKGROUND: To investigate the clinicopathological characteristics of head and neck small cell carcinoma (H&NSmCC) and identify prognostic factors on the basis of the Surveillance, Epidemiology and End Results (SEER) database. METHODS: Total of 789 primary cases from 1973 to 2016 were included. Univariate and multivariate analyses were performed to identify independent prognostic indicators. An H&NSmCC-specific nomogram was constructed and compared with the AJCC staging system by calculating the time-dependent area under the curve (AUC) of the receiver operating characteristic (ROC) curves. RESULTS: The incidence of H&NSmCC peaked during the period of 50 to 70 years old, and the most frequent location was the salivary gland. The 5-year disease specific survival (DSS) was 27%. In the multivariate survival analysis, AJCC III + IV stage [HR = 2.5, P = 0.03, I + II stage as Ref], positive N stage [HR = 1.67, P = 0.05, negative N stage as Ref], positive M stage [HR = 4.12, P = 0.000, negative M stage as Ref] and without chemotherapy [HR = 0.56, P = 0.023, received chemotherapy as Ref] were independently associated with DSS. The H&NSmCC-specific nomogram was built based on the independent prognostic indicators. The nomogram demonstrated better predictive capacity than the AJCC staging system for 5-year DSS [(AUC: 0.75 vs 0.634; Harrell's C-index (95% CI): 0.7(0.66-0.74) vs 0.59(0.55-0.62), P < 0.05]. CONCLUSION: N stage, M stage, AJCC stage and chemotherapy were independent prognostic indicators included in the prognostic nomogram model, which can better predict the survival of H&NSmCC than the AJCC staging system.