High-speed imaging of supersaturated cavitation clouds and the vibration modes of the radiation surface of high-power transducers.

The vibration mode of the radiation surface of transducer (or structure of supersaturated cavitation cloud in thin liquid) is investigated experimentally by high-speed photography. The classification of saturated, supersaturated and undersaturated cavitation clouds was proposed, and a comparison was made between saturated and supersaturated cavitation cloud structures in liquid thin layers. The characteristics and formation mechanism of supersaturated cavitation cloud structure were investigated. Based on the close correspondence and rapid response between the distribution of supersaturated cavitation clouds and vibration modes of radiation surface, a new approach is proposed to measure the vibration mode of transducer operating at high power and large amplitude in real time.

Hepatorenal pathologies in TNF-transgenic mouse model of rheumatoid arthritis are alleviated by anti-TNF treatment.

OBJECTIVE: To examine and quantify liver and kidney lesions and their response to anti-tumor necrosis factor (TNF) therapy in a TNF-Tg mouse model of rheumatoid arthritis (RA). METHODS: Female TNF-Tg (Tg3647) mice were used as the animal model for chronic RA. Ultrasound, immunofluorescence, histological staining, serology tests, and real-time RT-PCR were used to examine the pathological changes in the liver and kidney. RESULTS: TNF-Tg mice showed a significant decrease in the body weight and a dramatic increase in the volumes of the gallbladder, knee cavity, and popliteal lymph nodes. The liver and kidneys of TNF-Tg mice showed increased chronic inflammation and accumulation of immune cells and fibrosis, compared to wild-type (WT) mice. Moreover, upregulation of inflammatory factors and impaired normal function were observed in the liver and kidneys of TNF-Tg mice. Inflammatory infiltration and fibrosis of the liver and kidneys of female TNF-Tg mice were improved after anti-TNF treatment, and better treatment effects were achieved at 4.5-month-old mice when they were received 8 weeks of intervention. CONCLUSIONS: We found that TNF drives the development of liver and kidney pathology in female TNF-Tg mice and that there are limitations to the loss of utility of anti-TNF for the prolonged treatment of RA-associated hepatic and renal injury. This study provides a reliable and clinically relevant animal model for further studies exploring the molecular mechanisms and drug discovery for hepatorenal pathologies in RA.

Effects of combining immune checkpoint inhibitors and anti-angiogenic agents on bone metastasis in non-small cell lung cancer patients.

This study aimed to evaluate the efficacy of combining immune checkpoint inhibitors (ICIs) and anti-angiogenic agents in treating lung cancer patients with bone metastases (BMs), as it is unclear whether this combination is effective for this condition. Non-small cell lung cancer patients with BMs receiving ICIs were divided into experimental and control groups based on anti-angiogenic treatment. Progression-free survival (PFS) and overall survival (OS) were evaluated using the Kaplan-Meier method, with log-rank test for comparisons. Prognostic factors were determined by univariate and multivariate Cox regression analyses. The study included 95 patients. The experimental group (n = 42) had a higher disease control rate (DCR) (90.5% vs. 68.6%, p = .009), objective response rate (ORR) (35.7% vs. 24.5%, p = .235), and longer median bone PFS (14.3 months vs. 8.3 months, p = .011) for bone metastasis. However, there were no significant differences in overall DCR (92.8% vs. 86.7%, p = .339), ORR (64.3% vs. 62.3%, p = .839), and PFS (12.4 months vs. 11.6 months, p = 0.383) between the 2 groups. The experimental group had a lower incidence of skeleton-related events (SREs) (28.6% vs. 35.8%, p = .425), and SRE patients had shorter PFS (7.7 vs. 14.3 months, p < .001) and OS (12.1 vs. 19.0 months, p = .028). Anti-angiogenic therapy (HR = 0.55, p = .012) and SRE (HR = 2.93, p < .001) were identified as independent prognostic factors for bone metastatic PFS. Adverse events were slightly higher in the experimental group (29.3% vs. 18.9%, p = .238), but not statistically significant. The combination of ICIs and anti-angiogenic agents leads to a significant PFS for BMs and potentially decreases SRE.

A retrospective real-world experience of immunotherapy in patients with extensive stage small-cell lung cancer.

BACKGROUND: The treatment of extensive stage small-cell lung cancer (ES-SCLC) has only made modest progress in the past decade, with two immune checkpoint inhibitors (ICIs), atezolizumab and durvalumab, approved for the treatment of SCLC by January 2022. However, currently, there is limited real-world data on ES-SCLC patients received immunotherapy. METHODS: We retrospectively collected and analyzed the demographic and treatment data of ES-SCLC patients at the First Affiliated Hospital of Guangzhou Medical University from January 2017 to January 2022. Survival and prognosis information was obtained through follow-up. RESULTS: A total of 353 ES-SCLC patients were included, of which 165 received immunotherapy combined with chemotherapy as the first-line (FL) treatment (chemo-immune group), and 188 received chemotherapy (chemotherapy group). The objective response rate (ORR) and disease control rate (DCR) of patients receiving immunotherapy as the FL treatment were better than the chemotherapy group (76.97% vs. 48.40%, p < 0.001, and 83.03% vs. 68.09%, p < 0.001). Moreover, the progression-free survival (PFS) and overall survival (OS) of ES-SCLC patients receiving immunotherapy as the FL treatment were better than the chemotherapy group (6.7 months vs. 5.1 months, p < 0.001, and 12.5 months vs. 11.2 months, p < 0.001). Furthermore, the OS of ES-SCLC patients who received immunotherapy as second-line treatment was better than that in the chemotherapy group (15.9 months vs. 12.9 months, p = 0.036). CONCLUSION: ICIs combined with chemotherapy as the FL treatment could be beneficial to the ORR, DCR, PFS, and OS of ES-SCLC patients. Furthermore, ES-SCLC patients can benefit from ICIs in the second-line treatment, even if they had not received ICIs in the FL treatment.

Efficient Atmospheric Water Harvesting of Superhydrophilic Photothermic Nanocapsule.

Drought and water scarcity are two of the world's major problems. Solar-powered sorption-based atmospheric water harvesting technology is a promising solution in this category. The main challenge is to design materials with high water harvesting performance while achieving fast water vapor adsorption/desorption rates. Here, a superhydrophilic photothermic hollow nanocapsule (SPHN) is represented that achieves efficient atmospheric water harvesting in outdoor climates. In SPHN, the hollow mesoporous silica (HMS) is grafted with polypyrrole (PPy) and also loaded with lithium chloride (LiCl). The hollow structure is used to store water while preventing leakage. The hydrophilic spherical nanocapsule and the trapped water produce more free and weakly adsorbed water. Significantly lower the heat of desorption compared to pure LiCl solution. Such SPHN significantly improves the adsorption/desorption kinetics, e.g., absorbs 0.78-2.01 g of water per gram of SPHN at 25 °C, relative humidity (RH) 30-80% within 3 h. In particular, SPHN has excellent photothermal properties to achieve rapid water release under natural sunlight conditions, i.e., 80-90% of water is released in 1 h at 0.7-1.0 kW m-2 solar irradiation, and 50% of water is released even at solar irradiation as low as 0.4 kW m-2 . The water collection capacity can reach 1.2 g g-1 per cycle by using the self-made atmospheric water harvesting (AWH) device. This finding provides a way to design novel materials for efficient water harvesting tasks, e.g., water engineering, freshwater generator, etc.

Comparing the Accuracy of Seven Scoring Systems in Predicting Survival of Lung Cancer Patients With Spinal Metastases: An External Validation From Two Centers.

STUDY DESIGN: Retrospective case series. OBJECTIVE: To investigate the accuracy of seven scoring systems for the prediction of survival in lung cancer patients with spinal metastases (SPM). SUMMARY OF BACKGROUND DATA: Although survival scoring systems have been developed for surgical decision-making, the reliability and validity of these models are unclear for specific cancer types. As the prevalence of patients with lung cancer increases, it is imperative to determine the accuracy of these models for lung cancer patients with SPM. MATERIALS AND METHODS: This is a retrospective study of a cohort of lung cancer patients with SPM who underwent spine surgery between 2019 and 2021 at two centers. The optimal area under the curve (AUC) was calculated to evaluate the accuracy of seven candidate scoring systems at 3, 6, and 12 months. Calibration and decision curve analysis was used for further validation. RESULTS: A total of 166 patients (mean age: 58.98±10.94; 105 males and 61 females) with SPM were included. The median postoperative survival was 12.87±0.93 months. The modified Bauer score, revised Tokuhashi score, Linden score, Tomita score, the Skeletal Oncology Research Group nomogram, and the New England Spinal Metastasis Score in prediction survival at 3, 6, and 12 months showed a slightly weaker AUC (range 0.464-0.659). The AUC of the Katagiri-New score in predicting 1-year survival for lung cancer patients was the highest (0.708; range 0.619-0.798). The decision curve analysis showed that the Katagiri-New score led to a greater net benefit than the strategies of changing management for all patients or none of the patients. CONCLUSIONS: This study suggests that the most commonly used models have limitations in predicting survival in patients undergoing spinal surgery for metastatic lung cancer and underestimate survival. In this sample of lung cancer patients, the Katagiri-New Scoring system score had the best performance in predicting 1-year survival. LEVEL OF EVIDENCE: 4.

Genomic characterisation of de novo EGFR copy number gain and its impact on the efficacy of first-line EGFR-tyrosine kinase inhibitors for EGFR mutated non-small cell lung cancer.

BACKGROUND: Non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutation generally respond well to epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs). However, genomic characterisation of de novo EGFR copy number gain (CNG) and its impact on the efficacy of first-line EGFR-TKIs remains unclear. METHODS: This multicenter, retrospective and real-world study included two cohorts that enroled EGFR mutant NSCLC patients. EGFR CNG was tested by next-generation sequencing of untreated tissue specimens. Cohort 1 detected the impact of EGFR CNG on first-line EGFR-TKIs treatment, and cohort 2 explored the genomic characterisation. RESULTS: Cohort 1 enroled 355 patients from four cancer centres between January 2013 and March 2022. The patients were divided into three groups, included the EGFR non-CNG, EGFR CNG, and EGFR uncertain-CNG. No significant difference in progression-free survival (PFS) was found between the three groups (10.0 months vs. 10.8 months vs. 9.9 months, respectively, p = 0.384). Furthermore, the overall response rate was not statistically significant in the EGFR CNG group compared to the EGFR non-CNG or uncertain arm (70.3% vs. 63.2% vs. 54.5%, respectively, p = 0.154). Cohort 2 included 7876 NSCLC patients with 16.4% showing EGFR CNG. Gene mutations such as TP53, IKZF1, RAC1, MYC, MET, CDKN2A/B and alterations of the metabolic-related and ERK signalling pathway were significantly associated with patients with EGFR CNG compared to those without. CONCLUSIONS: De novo EGFR CNG had no effect on the efficacy of first-line EGFR-TKI treatment in EGFR mutant NSCLC patients, and tumours with EGFR CNG had more complex genomic profiles than those without.

Real-world data on severe lung cancer: a multicenter retrospective study.

Background: Severe lung cancer is a novel concept that describes a patient with poor performance status (PS; 2-4) but with a high probability of receiving survival benefit and improvement in the PS score. However, there is currently no relevant research or real-world data on those with severe lung cancer, such as incidence, cause, clinical features, and risk factors. Methods: The data from patients with advanced lung cancer attending multiple centers from January 1, 2022, to June 30, 2022, were collected for a cross-sectional study. In addition, data from fatal cases from January 1, 2019, to June 30, 2022, were retrospectively collected as another cohort. And we developed a questionnaire to assess clinicians' mastery of severe lung cancer. Results: Three participating institutes enrolled the data set of 1,725 patients, and the dataset of 269 fatal cases were included in another cohort; the incidence of severe lung cancer was 13.10% and 37.55%, respectively. Severe lung cancer patients were mainly stage IV elderly male patients without gene mutation and a history of resection. And the proportion of smoking and comorbidities in severe lung cancer patients is more than in non-severe lung cancer patients (50.4% vs. 40.8%, P=0.006; 46.9% vs. 36.4%, P=0.002). Treatment-related adverse events (AEs) (46.0%) accounted for the largest proportion of the primary causes of severe lung cancer in the cross-sectional study, while cancer-related symptoms (54.5%) accounted for the largest proportion of the primary causes of sever lung cancer in the 101 fatal cases. For the fatal cases, the overall survival of severe lung cancer patients caused by cancer-related symptoms was longer than that caused by treatment-related AEs (8 vs. 3 months; P=0.019). A total of 616 clinicians completed the questionnaire; 90.26% of clinicians agreed with the concept of severe lung cancer. Conclusions: The incidence of severe lung cancer cannot be ignored based on real-world data. Treatment-related AEs are gradually account for more of the causes of severe lung cancer, surpassing cancer-related symptoms and comorbidities. Furthermore, the prognosis of patients with advanced lung cancer who develop severe lung cancer due to treatment-related AEs is worse than cancer-related symptoms.

A Risk-Scoring Model for Severe Checkpoint Inhibitor-Related Pneumonitis: A Case-Control Study.

BACKGROUND AND OBJECTIVE: Checkpoint inhibitor-related pneumonitis (CIP) is one of the most common serious and fatal adverse events associated with immune checkpoint inhibitors (ICIs). The study sought to identify risk factors of all-grade and severe CIP and to construct a risk-scoring model specifically for severe CIP. METHODS: This observational, retrospective case-control study involved 666 lung cancer patients who received ICIs between April 2018 and March 2021. The study analyzed patient demographic, preexisting lung diseases, and the characteristics and treatment of lung cancer to determine the risk factors for all-grade and severe CIP. A risk score for severe CIP was developed and validated in a separate patient cohort of 187 patients. RESULTS: Among 666 patients, 95 patients were afflicted with CIP, of which 37 were severe cases. Multivariate analysis revealed age ≥ 65 years, current smoking, chronic obstructive pulmonary disease, squamous cell carcinoma, prior thoracic radiotherapy, and extra-thoracic radiotherapy during ICI were independently associated with CIP events. Five factors, emphysema (odds ratio [OR] 2.87), interstitial lung disease (OR 4.76), pleural effusion (OR 3.00), history of radiotherapy during ICI (OR 4.30), and single-agent immunotherapy (OR 2.44) were independently associated with severe CIP and were incorporated into a risk-score model (score ranging 0-17). The area under the model receiver operating characteristic curve for the model was 0.769 in the development cohort and 0.749 in the validation cohort. CONCLUSIONS: The simple risk-scoring model may predict severe CIP in lung cancer patients receiving ICIs. For patients with high scores, clinicians should use ICIs with caution or strengthen the monitoring of these patients.

External validation of the SORG machine learning algorithms for predicting 90-day and 1-year survival of patients with lung cancer-derived spine metastases: a recent bi-center cohort from China.

BACKGROUND CONTEXT: The survival prediction of lung cancer-derived spinal metastases is often underestimated by several scores. The SORG machine learning (ML) algorithm is considered a promising tool to predict the risk of 90-day and 1-year mortality in patients with spinal metastases, but not been externally validated for lung cancer. PURPOSE: This study aimed to externally validate the SORG ML algorithms on lung cancer-derived spinal metastases patients from two large-volume, tertiary medical centers between 2018 and 2021. STUDY DESIGN/SETTING: Retrospective, cohort study. PATIENT SAMPLE: Patients aged 18 years or older at two tertiary medical centers in China are treated surgically for spinal metastasis. OUTCOME MEASURES: Mortality within 90 days of surgery, mortality within 1 year of surgery. METHODS: The baseline characteristics were compared between the development cohort and our validation cohort. Discrimination (receiver operating curve), calibration (calibration plot, intercept, and slope), the overall performance (Brier score), and decision curve analysis was used to assess the overall performance of the SORG ML algorithms. RESULTS: This study included 150 patients with lung cancer-derived spinal metastases from two medical centers in China. Ninety-day and 1-year mortality rates were 12.9% (19/147) and 51.3% (60/117), respectively. Lung Cancer with targeted therapies had the lowest Hazard Ratio (HR=0.490), showing an optimal protecting factor. The AUC of the SORG ML algorithm for 90-day mortality prediction in lung cancer-derived spinal metastases is 0.714. While the AUC for 1-year mortality prediction is 0.832 (95CI%, 0.758-0.906). The algorithm for 1-year mortality was well-calibrated with an intercept of 0.13 and a calibration slope of 1.00. However, the 90-day mortality prediction was underestimated with an intercept of 0.60 and a slope of 0.37. The SORG ML algorithms for 1-year mortality showed a greater net benefit than the "treats all or no patients" strategies. CONCLUSIONS: In the latest cohort of lung cancer-derived spinal metastases in China, the SORG algorithms for predicting 1-year mortality performed well on external validation. However, 90-day mortality was underestimated. The algorithm should be further validated by single primary tumor-derived metastasis treated with the latest comprehensive treatment in diverse populations.

The Treatment Status of Patients in NSCLC With RET Fusion Under the Prelude of Selective RET-TKI Application in China: A Multicenter Retrospective Research.

Background: Rearranged during transfection (RET) fusion is a kind of uncommon mutation (about 1%) in non-small cell lung cancer (NSCLC). Although selective tyrosine kinase inhibitors (TKI) (selpercatinib and pralsetinib) have been available, there are no real-world data about the difference in the efficacy between RET-TKI and other regimens in China. Methods: We conducted a multicenter retrospective analysis of 49 patients with RET-fusion-positive NSCLC. The characteristics and the clinical outcomes with RET-TKI, multi-kinase inhibitor (MKI), systematic chemotherapy, and immune-checkpoint inhibitor (ICI)-based regimens were evaluated. Results: Of the 92 treatments in patients included, RET-TKI was administered 24 times (26.1%), systematic chemotherapy was 35 times (38.0%), ICI-based regimens was 26 times (28.3%), and MKI was 7 times (7.6%). RET-TKI had a higher objective response rate than the chemotherapy and ICI-based regimens (63.6% vs. 14.3% vs. 21.0%, p < 0.001). The median progress-free survival (mPFS) of RET-TKI, chemotherapy, immunotherapy, and MKI was 16.9 (95% CI: 1.8-32.0) months, 11.9 (95% CI: 7.7-16.1) months, 6.7 (95% CI: 2.9-10.5) months, and 2.8 (95% CI: 1.1-4.4) months, respectively. The mPFS of RET-TKI was longer than MKI and immunotherapy (p < 0.001), while without difference with chemotherapy (p = 0.096). Moreover, chemotherapy had longer mPFS than MKI (p < 0.001). In subgroup analysis, patients with brain metastases in RET-TKI treatment had worse mPFS than the one of patients without brain metastases (6.1 (95% CI: 0.0-13.9) months and 8.5 (95% CI: 6.3-10.6) months, p = 0.012). For patients having chemotherapy with or without angiogenesis inhibitors, the mPFS was 12.0 (95% CI: 11.05-13.02) months and 9.1 (95% CI: 8.31-9.89) months (p = 0.468). In the group of ICI-based regimens, the expression level of PD-L1 did not affect the mPFS of ICI [PD-L1 (+) vs. PD-L1 (-): 4.7 (95% CI: 1.8-9.0) months vs. 7.6 (95% CI: 1.1-14.0) months, p = 0.910]. For overall patients, ECOG PS score, therapy lines, and therapeutic regimens were the independent factors affecting the prognosis. Conclusions: In RET-fusion-positive NSCLC, RET-TKI is the best choice for a better response rate and PFS. In addition, chemotherapy which may bring a good PFS, is still a good choice for this group of patients.

[Effect of WRAP53 ß Targeted Co-Inhibitory Pathways Based on Comprehensive Bioinformatics Analysis in Treating Squamous Cell Carcinoma of the Head and Neck].

Objective: To investigate the association between WD40-encoding RNA antisense to p53 ( WRAP53 ß), a telomerase new core subunit, and the clinical, genomic and immune infiltration characteristics of squamous cell carcinoma of the head and neck (HNSC), and to explore for potential joint targeted therapy of HNSC. Methods: Tumor IMmune Estimation Resource (TIMER) online modules were adopted to predict the association between WRAP53 ß expression and the clinical features, oncogene, and immune infiltration of HNSC in the Cancer Genome Atlas (TCGA) cohort. Tumor Immune Single-cell Hub (TISCH) was used to analyze WRAP53 ß expression at the single cell level. Analysis of the small molecule inhibitors potentially targeting WRAP53 ß was carried out by Computational Analysis of REsistance (CARE). In the in vitro verification experiment, recombinant lentiviral particles with the sh WRAP53 ß sequence were synthesized. Then, the oral squamous cell carcinoma cell line Cal27 (the sh WRAP53 ßgroup) stably expressing sh WRAP53 ß were constructed, and two control groups were set up (the shNC group consisting of Cal27 cells added with lentiviral particles containing non-specific control sequences and the Con group consisting of untreated Cal27 cells). MTT assay was done to examine the proliferation of cells in the three groups. Cellular immunofluorescence assay was done for further qualitative examination of the expression of P53 protein in the cells of the sh WRAP53 ß group and the shNC group. Western blot was done to measure the expression of WRAP53ß and γ-H2AX, a DNA damage protein, in the 18 th, 23 rd and 28 th passages of the sh WRAP53 ß group and the shNC group. Finally, specimens of 13 cases of oral squamous cell carcinoma and 7 cases of oral mucosal inflammation were collected, and the expression of WRAP53ß and γ-H2AX in the clinical specimens of oral squamous cell carcinoma was verified with immunohistochemistry. Resluts: TIMER analysis revealed that the expression level of WRAP53 ß in HNSC tissues was significantly higher than that in normal tissues. There was a significant positive correlation between WRAP53 ß expression and multiple genes in the p53 pathway, including CCNB1, CCNB2 and CDK1. Although no significant correlation between WRAP53 ß expression and infiltrating immune cells was found, WRAP53 ß was significantly positively correlated with the inflammatory factors IFN-γ and IL23A, and negatively correlated with IL-1A and IL-6 in HPV-positive carcinoma of the head and neck. TISCH single cell sequencing datasets also showed higher expression of WRAP53 ß in malignant cells, and very low or zero expression in immune cells. According to the CARE scores, the most potent WRAP53 ß co-inhibitory drugs were ATM, CDK1 and MDM4 targeted inhibitors. In vitro cell experiments showed that the proliferation ability of Cal27 cells decreased significantly in the sh WRAP53 ß group as compared with that of the control group between Day 5 and Day 7 ( P<0.05). Furthermore, the expression of P53 decreased significantly in the sh WRAP53 ß group. As compared with the control group, the expression of WRAP53ß in sh WRAP53 ß group significantly decreased in the 18 th, 23 rd and 28 th passages ( P<0.05), while γ-H2AX expression only decreased in the 18 th and 28 th passages ( P<0.05) according to the results of Western blot. Clinical specimens showed rather high positive expression rate of γ-H2AX in oral squamous cell carcinoma tissues (12/13), while the expression of WRAP53ß was not detected in oral mucositis samples (0/7). Conclusions: WRAP53 ß showed significantly higher expression level in HSNC, and was significantly associated with p53 pathway genes. ATM, CDK1 and MDM4 inhibitors may be potential WRAP53 ß co-inhibitory agents. RNA interference of WRAP53 ß expression may cause inhibition of DNA damage, thereby indicating therapeutic potential for HNSC.

Comprehensive analysis of INHBA: A biomarker for anti-TGFß treatment in head and neck cancer.

Inhibin subunit ßA (INHBA) is a protein-coding gene belonging to the transforming growth factor ß (TGFß) superfamily, which is associated with the development of a variety of cancers. However, the role of INHBA in head and neck squamous cell carcinoma (HNSC) remains unclear. The expression profile and prognostic significance of INHBA in HNSC were assessed using a variety of informatics methods. The level of INHBA expression was significantly higher in patients with HNSC, and it was correlated with sex, tumor-node-metastasis (TNM) stage, histological grade, and human papillomavirus (HPV) status. Kaplan-Meier (K-M) analysis indicated that poor overall survival (OS) and disease-free survival (DFS) were significantly associated with INHBA upregulation in HNSC. INHBA overexpression was validated as an independent poor prognostic factor by multivariate Cox regression, and including INHBA expression level in the prognostic model could increase prediction accuracy. In addition, copy number alterations (CNAs) of INHBA and miR-217-5p downregulation are potential mechanisms for elevated INHBA expression in HNSC. In conclusion, INHBA may represent a promising predictive biomarker and candidate target for anti-TGFß therapy in HNSC.

Periodontal Pathogens Promote Oral Squamous Cell Carcinoma by Regulating ATR and NLRP3 Inflammasome.

Periodontitis is closely related to oral cancer, but the molecular mechanism of periodontal pathogens involved in the occurrence and development of oral cancer is still inconclusive. Here, we demonstrate that, in vitro, the cell proliferation ability and S phase cells of the periodontitis group (colonized by Porphyromonas gingivalis and Fusobacterium nucleatum, P+) significantly increased, but the G1 cells were obviously reduced. The animal models with an in situ oral squamous cell carcinoma (OSCC) and periodontitis-associated bacteria treatment were constructed, and micro-CT showed that the alveolar bone resorption of mice in the P+ group (75.3 ± 4.0 µm) increased by about 53% compared with that in the control group (48.8 ± 1.3 µm). The tumor mass and tumor growth rate in the P+ group were all higher than those in the blank control group. Hematoxylin-eosin (H&E) staining of isolated tumor tissues showed that large-scale flaky necrosis was found in the tumor tissue of the P+ group, with lots of damaged vascular profile and cell debris. Immunohistochemistry (IHC) of isolated tumor tissues showed that the expression of Ki67 and the positive rate of cyclin D1 were significantly higher in tumor tissues of the P+ group. The qRT-PCR results of the expression of inflammatory cytokines in oral cancer showed that periodontitis-associated bacteria significantly upregulated interleukin (IL)-6, tumor necrosis factor (TNF)-α, IL-18, apoptosis-associated speck-like protein containing a CARD (ASC) (up to six times), and caspase-1 (up to four times), but it downregulated nuclear factor (NF)-κB, NOD-, LRR- and pyrin domain-containing protein 3 (NLRP3), and IL-1ß (less than 0.5 times). In addition, the volume of spleen tissue and the number of CD4+ T cells, CD8+ T cells, and CD206+ macrophages in the P+ group increased significantly. IHC and Western blotting in tumor tissues showed that expression levels of γ-H2AX, p-ATR, RPA32, CHK1, and RAD51 were upregulated, and the phosphorylation level of CHK1 (p-chk1) was downregulated. Together, we identify that the periodontitis-related bacteria could promote tumor growth and proliferation, initiate the overexpressed NLRP3, and activate upstream signal molecules of ATR-CHK1. It is expected to develop a new molecular mechanism between periodontitis-related bacteria and OSCC.

MPI-based bioinformatic analysis and co-inhibitory therapy with mannose for oral squamous cell carcinoma.

Mannose induces tumor cell apoptosis and inhibits glucose metabolism by accumulating intracellularly as mannose 6-phosphate while the drug sensitivity of tumors is negatively correlated with mannose phosphate isomerase gene (MPI) expression. In this study, we performed a first attempt to explore the relationship between the targeted gene MPI and immune infiltration and genetic and clinical characteristics of head and neck squamous carcinoma (HNSC) using computational algorithms and bioinformatic analysis, and further to verify the co-inhibition effects of mannose with genotoxicity, immune responses, and microbes dysbiosis in oral squamous cell carcinoma (OSCC) in vitro and in vivo. Our results found that patients with lower MPI expression had higher survival rate. The enhancement of MPI expression was in response to DNA damage gene, and ATM inhibitor was verified as a potential drug with a synergistic effect with mannose on HSC-3. In the HNSC, infiltrated immunocytes CD8+ T cell and B cell were the significantly reduced risk cells, while IL-22 and IFN-γ showed negative correlation with MPI. Finally, mannose could reverse immunophenotyping caused by antibiotics in mice, resulting in the decrease of CD8+ T cells and increase of myeloid-derived suppressor cells (MDSCs). In conclusion, the MPI gene showed a significant correlation with immune infiltration and genetic and clinical characteristics of HNSC. The treatment of ATM inhibitor, immune regulating cells of CD8+ T cells and MDSCs, and oral microbiomes in combination with mannose could exhibit co-inhibitory therapeutic effect for OSCC.

Comprehensive Analysis of the Immune Microenvironment in Checkpoint Inhibitor Pneumonitis.

Background: While immune checkpoint inhibitors (ICIs) are a beacon of hope for non-small cell lung cancer (NSCLC) patients, they can also cause adverse events, including checkpoint inhibitor pneumonitis (CIP). Research shows that the inflammatory immune microenvironment plays a vital role in the development of CIP. However, the role of the immune microenvironment (IME) in CIP is still unclear. Methods: We collected a cohort of NSCLC patients treated with ICIs that included eight individuals with CIP (CIP group) and 29 individuals without CIP (Control group). CIBERSORT and the xCell algorithm were used to evaluate the proportion of immune cells. Gene set enrichment analysis (GSEA) and single-sample GSEA (ssGSEA) were used to evaluate pathway activity. The ridge regression algorithm was used to analyze drug sensitivity. Results: CIBERSORT showed significantly upregulated memory B cells, CD8+ T cells, and M1 Macrophages in the CIP group. The number of memory resting CD4+ T cells and resting NK cells in the CIP group was also significantly lower than in the Control group. The XCell analysis showed a higher proportion of Class-switched memory B-cells and M1 Macrophages in the CIP group. Pathway analysis showed that the CIP group had high activity in their immune and inflammatory response pathways and low activity in their immune exhaustion related pathway. Conclusions: In this study, we researched CIP patients who after ICIs treatment developed an inflammatory IME, which is characterized by significantly increased activated immune cells and expression of inflammatory molecules, as well as downregulated immunosuppressive lymphocytes and signaling pathways. The goal was to develop theoretical guidance for clinical guidelines for the treatment of CIP in the future.