Evaluation of stromal myofibroblasts in oral submucous fibrosis and its malignant transformation: An immunohistochemical study.

BACKGROUND: Oral submucous fibrosis (OSF) is a precancerous lesion, with oral squamous cell carcinoma (OSCC) being the most prevalent malignancy affecting the oral mucosa. The malignant transformation of OSF into OSCC is estimated to occur in 7-13% of cases. Myofibroblasts (MFs) play pivotal roles in both physiological and pathological processes, such as wound healing and tumorigenesis, respectively. This study aimed to explore the involvement of MFs in the progression of OSF and its malignant transformation. MATERIALS AND METHODS: In total, 94 formalin-fixed paraffin-embedded tissue blocks were collected, including normal oral mucosa (NOM; n = 10), early-moderate OSF (EMOSF; n = 29), advanced OSF (AOSF; n = 29), paracancerous OSF (POSF; n = 21), and OSCC (n = 5) samples. Alpha-smooth muscle actin was used for the immunohistochemical identification of MFs. RESULTS: NOM exhibited infrequent expression of MFs. A higher staining index of MFs was found in AOSF, followed by EMOSF and NOM. Additionally, a significant increase in the staining index of MFs was found from EMOSF to POSF and OSCC. The staining index of MFs in NOM, EMOSF, AOSF, POSF, and OSCC was 0.14 ± 0.2, 1.69 ± 1.4, 2.47 ± 1.2, 3.57 ± 2.6, and 8.86 ± 1.4, respectively. All results were statistically significant (P < 0.05). CONCLUSIONS: The expression of MFs exhibited a gradual increase as the disease progressed from mild to malignant transformation, indicating the contributory role of MFs in the fibrogenesis and potential tumorigenesis associated with OSF.

Recent advances on cyclodepsipeptides: biologically active compounds for drug research.

Cyclodepsipeptides are a large family of peptide-related natural products consisting of hydroxy and amino acids linked by amide and ester bonds. A number of cyclodepsipeptides have been isolated and characterized from fungi and bacteria. Most of them showed antitumor, antifungal, antiviral, antimalarial, and antitrypanosomal properties. Herein, this review summarizes the recent literatures (2010-2022) on the progress of cyclodepsipeptides from fungi and bacteria except for those of marine origin, in order to enrich our knowledge about their structural features and biological sources.

The roles of anti-Müllerian hormone in breast cancer.

Anti-Müllerian hormone (AMH) is produced and secreted by granulosa cells of growing follicles, and its main role is to inhibit the recruitment of primordial follicles, reduce the sensitivity of follicles to follicle-stimulating hormone (FSH), and regulate FSH-dependent preantral follicle growth. It has become an effective indicator of ovarian reserve in clinical practice. Research on AMH and its receptors in recent years has led to a better understanding of its role in breast cancer. AMH specifically binds to anti-Müllerian hormone receptor II (AMHRII) to activate downstream pathways and regulate gene transcription. Since AMHRII is expressed in breast cancer cells and triggers apoptosis, AMH/AMHRII may play an important role in the occurrence, treatment, and prognosis of breast cancer, which needs further research. The AMH level is a potent predictor of ovarian function after chemotherapy in premenopausal breast cancer patients older than 35 years, either for ovarian function injury or ovarian function recovery. Moreover, AMHRII has the potential to be a new marker for the molecular typing of breast cancer and a new target for breast cancer treatment, which may be a link in the downstream pathway after TP53 mutation.

Prediction With Visual Evidence: Sketch Classification Explanation via Stroke-Level Attributions.

Sketch classification models have been extensively investigated by designing a task-driven deep neural network. Despite their successful performances, few works have attempted to explain the prediction of sketch classifiers. To explain the prediction of classifiers, an intuitive way is to visualize the activation maps via computing the gradients. However, visualization based explanations are constrained by several factors when directly applying them to interpret the sketch classifiers: (i) low-semantic visualization regions for human understanding. and (ii) neglecting of the inter-class correlations among distinct categories. To address these issues, we introduce a novel explanation method to interpret the decision of sketch classifiers with stroke-level evidences. Specifically, to achieve stroke-level semantic regions, we first develop a sketch parser that parses the sketch into strokes while preserving their geometric structures. Then, we design a counterfactual map generator to discover the stroke-level principal components for a specific category. Finally, based on the counterfactual feature maps, our model could explain the question of "why the sketch is classified as X" by providing positive and negative semantic explanation evidences. Experiments conducted on two public sketch benchmarks, Sketchy-COCO and TU-Berlin, demonstrate the effectiveness of our proposed model. Furthermore, our model could provide more discriminative and human understandable explanations compared with these existing works.

Lignan glycosides from Fritillaria verticillata Willd. and their anti-inflammatory activities.

Three undescribed lignan glycosides, echiunines E-G (1-3), as well as eight known compounds (4-11) were isolated from Fritillaria verticillata Willd. Among them, compounds 1-3 were a series of lignan glycosides reported for the first time from genus Fritillaria. Their structures were elucidated by analyses of extensive spectroscopic data and comparison of the NMR data with those reported previously, the absolute configuration of compounds were further confirmed by calculated ECD method. The NO release inhibitory effects of compounds were evaluated in LPS-activated RAW264.7 macrophages. Compounds 7-8 showed inhibitory acitivities in a dose-dependent manner.

A Speedy Point Cloud Registration Method Based on Region Feature Extraction in Intelligent Driving Scene.

The challenges of point cloud registration in intelligent vehicle driving lie in the large scale, complex distribution, high noise, and strong sparsity of lidar point cloud data. This paper proposes an efficient registration algorithm for large-scale outdoor road scenes by selecting the continuous distribution of key area laser point clouds as the registration point cloud. The algorithm extracts feature descriptions of the key point cloud and introduces local geometric features of the point cloud to complete rough and fine registration under constraints of key point clouds and point cloud features. The algorithm is verified through extensive experiments under multiple scenarios, with an average registration time of 0.5831 s and an average accuracy of 0.06996 m, showing significant improvement compared to other algorithms. The algorithm is also validated through real-vehicle experiments, demonstrating strong versatility, reliability, and efficiency. This research has the potential to improve environment perception capabilities of autonomous vehicles by solving the point cloud registration problem in large outdoor scenes.

A Large-Scale Dataset of Three-Dimensional Solar Magnetic Fields Extrapolated by Nonlinear Force-Free Method.

It has been widely accepted that solar magnetic field manipulates all solar activities, especially violent solar bursts in solar corona. Thus, it is extremely important to reconstruct three-dimentional (3D) magnetic field of solar corona from really observed photospheric magnetogram. In this paper, a large-scale dataset of 3D solar magnetic fields of active regions is built by using the nonlinear force-free magnetic field (NLFFF) extrapolation from vector magnetograms of Helioseismic and Magnetic Imager (HMI) on Solar Dynamics Observatory (SDO). In this dataset, all space-weather HMI active region patches (SHARPs) with the corresponding serial numbers of national oceanic and atmospheric administration (NOAA) are included. They are downloaded from the SHARP 720 s series of JSOC every 96 minutes. In addition, each sample is labelled with a finer grained label for solar flare forecast. This paper is with the purpose of open availability of data resource and source code to the peers for refraining from repeated labor of data preparation. Meanwhile, with such a large-scale, high spatio-temporal resolution and high quality scientific data, we anticipate a wide attention and interest from artificial intelligence (AI) and computer vision communities, for exploring AI for astronomy over such a large-scale dataset.

Skewed Th17/Treg balance during progression and malignant transformation of oral submucous fibrosis.

OBJECTIVES: The aim of our study was to determine the impact of Th17/Treg imbalance on the progression and malignant transformation of oral submucosal fibrosis (OSF). MATERIALS AND METHODS: To assess Th17 and Treg expression, overall 52 peripheral blood samples from OSF, oral squamous cell carcinoma (OSCC) patients, and healthy donors were analyzed by flow cytometry. Thirty normal oral mucosa, 72 OSF, and 90 OSCC samples were analyzed by immunohistochemistry. RESULTS: In peripheral blood samples, in OSCC with OSF, Th17 and Treg expression were significantly higher than those in OSF and OSCC without OSF as confirmed by immunohistochemistry. During OSF progression, Th17 and Th17/Treg ratio showed an increasing trend, while Treg expression showed a decreasing trend. Treg expression was significantly higher in OSCC with OSF than in OSF and OSCC without OSF, whereas the Th17/Treg ratio was significantly lower in OSCC with OSF. Treg expression was significantly correlated with smoking and clinical stage. Th17/Treg ratio was significantly associated with tumor size, lymph node metastasis, and clinical stage. A low Th17/Treg ratio was significantly associated with poor prognosis. CONCLUSIONS: Th17/Treg ratio is a potential diagnostic indicator for OSF occurrence and malignant transformation and was an independent prognostic factor for OSCC.

Effects of Gonadotropin-Releasing Hormone Analogs on Ovarian Function Against Chemotherapy-Induced Gonadotoxic Effects in Premenopausal Women With Breast Cancer in China: A Randomized Clinical Trial.

IMPORTANCE: Studies of the use of gonadotropin-releasing hormone analogs (GnRHa) to protect ovarian function have shown mixed results. OBJECTIVE: To determine whether administering GnRHa during chemotherapy in premenopausal women with breast cancer can reduce ovarian impairment. DESIGN, SETTING, AND PARTICIPANTS: This randomized clinical trial, conducted at the Shanghai Jiao Tong University Affiliated Shanghai Sixth People's Hospital and Zhejiang Cancer Hospital in China, was an open-label trial involving premenopausal women aged 18 to 49 years with operable stage I to III breast cancer for which treatment with adjuvant or neoadjuvant cyclophosphamide-containing chemotherapy was planned in 2 parallel groups: treatment with chemotherapy with or without GnRHa. Enrollment occurred from September 2015 to August 2017, and follow-up ended December 2020. The data were analyzed in March 2021. A total of 405 patients were enrolled in the study, among whom 27 patients (6.7%) quit participation voluntarily, 33 (8.1%) did not meet the inclusion criteria and were excluded, and 15 (3.7%) were lost to follow-up. Ultimately 330 patients were included in the primary analysis, including 29 patients with baseline anti-Müllerian hormone levels less than 0.5ng/ mL. INTERVENTIONS: Eligible patients were randomly assigned (1:1) to receive chemotherapy with (n = 165) or without (n = 165) GnRHa. In patients randomized to receive GnRHa, 3.6 mg of goserelin or 3.75 mg of leuprorelin was injected subcutaneously once every 28 days from 1 to 2 weeks before the first cycle of chemotherapy to 4 weeks after the last cycle of chemotherapy. MAIN OUTCOMES AND MEASURES: The primary end point was the rate of premature ovarian insufficiency (POI) at 12 months after chemotherapy. Premature ovarian insufficiency was defined as anti-Müllerian hormone levels of less than 0.5 ng/mL in this study. The secondary end point was overall survival (OS) and tumor-free survival (TFS). RESULTS: A total of 330 eligible patients could be evaluated with complete data, among whom 301 patients (91.2%; GnRHA group: mean [SD] age, 40.6 [6.7] years; control group: mean [SD] age, 40.2 [5.9] years) were eligible for primary end point analysis. At 12 months after the completion of chemotherapy, the POI rate was 10.3% (15 of 146) in the GnRHa group and 44.5% (69 of 155) in the control group (odds ratio, 0.23; 95% CI, 0.14-0.39; P < .001). Anti-Müllerian hormone resumption in the GnRHa group was significantly better than that in the control group (15 of 25 vs 6 of 44; odds ratio, 4.40; 95% CI, 1.96-9.89; P < .001). After a median follow-up of 49 months (range, 25-60 months), the differences in 4-year OS and TFS between the 2 groups were not significant. A post hoc analysis showed that in patients younger than 35 years, the TFS was higher in the GnRHa group than in the control group (93% vs 62%; P = .004; hazard ratio, 0.15; 95% CI, 0.03-0.82; P = .03). CONCLUSIONS AND RELEVANCE: This randomized clinical trial found that administering GnRHa in treatment with chemotherapy for premenopausal patients with breast cancer reduces the risk of POI, which promotes the recovery of ovarian function. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02518191.

GnRHa protects the ovarian reserve by reducing endoplasmic reticulum stress during cyclophosphamide-based chemotherapy.

Chemotherapy-induced ovarian dysfunction is a serious adverse effect in premenopausal patients with cancer. Gonadotrophin-releasing hormone analogs (GnRHa) protect ovarian function, but its molecular mechanisms have not yet been determined. In this study, we attempted to determine the previously unknown molecular mechanism by which such protection occurs. Serum anti-Müllerian hormone (AMH) levels were tested in tumor-bearing nude mice, a series of exploratory experiments were conducted. We discovered that GnRHa protects granulosa cells from chemotherapeutic toxicity in vivo and in vitro. We also showed that CTX-induced endoplasmic reticulum stress inhibits the secretion of AMH, and treatment with GnRHa relieves ER stress and the subsequent unfolded-protein response by modulating mTOR signaling to induce autophagy. The results of mechanistic studies indicated that GnRHa-modulated mTOR signaling to induce autophagy, which alleviated CTX-induced ER stress and promoted the secretion of AMH.

The clinical study of CBCT imaging technology in the restoration of upper anterior teeth of the elderly.

OBJECTIVE: To evaluate and analyze the clinical effect of CBCT imaging technology on the restoration of upper anterior teeth of the elderly. METHODS: 36 elderly patients with upper anterior teeth loss in our hospital from January 2018 to January 2020 were selected for implant restoration. Patients were equally randomized into a curved tomographic restoration group (TR group) and a CBCT restoration group (CR group). Patients in the two groups underwent traditional implant restoration. Then we compared and analyzed the implant migration, the adjustment time of first wearing, and the success rate of axial gingival recession and restoration satisfaction of patients in the two groups. RESULTS: The neck offset and the root offset of the implants in the CR group was (0.77±0.15) mm and (0.83±0.17) mm, respectively, which were significantly lower than (1.25±0.27) mm and (1.73±0.29) mm in the TR group (t=6.593, t=11.359, all P<0.01). The initial wearing adjustment time of patients in the CR group [(8.73±1.94) min] was significantly less than (18.79±4.85) min in the TR group (t=8.171, P<0.01); the CR group had a significantly higher success rate of axial gingival recession as compared to the CR group (94.44% vs 61.11%, χ2=6.0857, P<0.05); The restoration satisfaction rate of patients in the CR group was 100%, which was significantly higher than 77.78% of the TR group (χ2=8.7429, P<0.05). CONCLUSION: The CBCT imaging technology has a significant clinical effect on the restoration of the upper anterior teeth of the elderly, which effectively reduces the deviation of implant placement, shorten the adjustment time of their initial wearing, and greatly improves the success rate of axial gingival recession, effectively guarantees the long-term stability and aesthetics of dental implant restoration, and significantly enhances the satisfaction of patients.

Can Anti-Müllerian Hormone Be a Reliable Biomarker for Assessing Ovarian Function in Women Postchemotherapy?

PURPOSE: The predictive value of anti-Müllerian hormone (AMH) for ovarian dysfunction postchemotherapy is controversial. This study aimed to evaluate the value of serum AMH levels clinically and theoretically. PATIENTS ANIMALS AND METHODS: We detected the serum estradiol, follicular stimulating hormone (FSH), luteinizing hormone (LH), and AMH levels in 144 premenopausal women with breast cancer receiving cyclophosphamide-based chemotherapy. The hormone levels before and postchemotherapy were compared; the correlations among the hormones and amenorrhea and menstrual recovery were analyzed. In addition, the serum AMH levels were detected randomly in 177 normal healthy women and 36 normal female C57BL/6J mice of different ages; meanwhile, the status of ovarian follicles was also examined. Furthermore, 72 Balb/c nude mice with breast cancer were randomly assigned to three groups that received different doses of cyclophosphamide (CTX) (control, 100 mg/kg, and 200 mg/kg), and the alterations in serum AMH levels and ovarian follicles were recorded and analyzed. RESULTS: Chemotherapy-induced amenorrhea was associated with prechemotherapy AMH levels, E2 levels, and FSH levels (P < 0.0001). The recovery of menstruation was associated with prechemotherapy AMH levels (P < 0.0001), but not with E2 and FSH levels (P > 0.05). In patients with breast cancer treated with chemotherapy, the serum AMH levels did not differ significantly between the pre- and post-chemotherapy periods in patients aged <35 years (P > 0.05), whereas a dramatic reduction was detected in patients aged >35 years (P < 0.0001). In healthy women, the serum AMH levels declined sharply after 35 years of age (P < 0.0001) and remained relatively stable at a younger age. Similar results were obtained in experiments using normal mice. The cancer-bearing mice exposed to 200 mg/kg CTX exhibited a significant decline in AMH levels and a remarkable decrease in the number of primordial and growing follicles (P < 0.0001). CONCLUSION: Our results indicate that AMH is an efficient marker for predicting postchemotherapy ovarian function exclusively in premenopausal female patients with breast cancer aged >35 years.

Differential expression of programmed death-1 and its ligand, programmed death ligand-1 in oral squamous cell carcinoma with and without oral submucous fibrosis.

OBJECTIVE: The aim of our study was to investigate the expression of programmed death ligand-1 (PD-L1)/programmed death-1 (PD-1) between oral squamous cell carcinoma (OSCC) patients with and without oral submucous fibrosis (OSF), and its correlation with clinic-pathologic features and its prognostic value. METHODS: PD-L1 and PD-1 expression was evaluated by immunohistochemical staining, double immunofluorescent staining and real-time PCR, and the correlation of PD-L1/PD-1 expression with clinical outcome was assessed. RESULTS: The level of PD-L1 expression was significantly higher in OSCC with OSF than in OSCC without OSF (p = 0.006). Moreover, PD-L1 expression was strongly correlated with lymph node metastasis (p = 0.016), and advanced tumor stage (p = 0.030). Increased PD-L1 expression was positively correlated with the incidence of OSCC with OSF (p = 0.006, p = 0.008, respectively). PD-L1 expression was an independent marker of unfavorable prognosis (p = 0.035, p = 0.048, respectively). High PD-L1 expression had a significantly worse outcome in OSCC patients with OSF (p = 0.014). Double immunofluorescent staining showed that OSCC with OSF were more strongly expressed both PD-L1 and PD-1 than OSCC without OSF. Moreover, the expression of PD-L1 were upregulated in OSCC tissues than normal control (p = 0.0422), and both PD-L1 and PD-1 was significantly higher in OSCC with OSF than OSCC without OSF tissues (p = 0.0043 and, p = 0.0012, respectively). CONCLUSIONS: The present study suggested that PD-L1 may be an unfavorable indicator for prognosis. PD-L1/PD-1 signaling might play an important role in the malignant transformation of OSF, and targeting PD-L1/PD-1 signaling may be a new therapeutic strategy for OSCC, especially in OSCC patients with OSF.

Repertoire of peripheral T cells in patients with oral squamous cell carcinoma.

BACKGROUND: The establishment of adaptive immune responses to neoplasms involves not only the tumour tissue, but also the peripheral blood. We aimed to conduct a preliminary exploration to understand the immune response of T lymphocytes of peripheral blood mononuclear cells (PBMC-Ts) in oral squamous cell carcinoma (OSCC). METHODS: A total of 103 blood samples from OSCC patients and 18 blood samples from healthy donors (HD) were analysed by flow cytometry. RESULTS: Compared to those in HD, a series of unique features of PBMC-Ts were observed in OSCC patients including a significant increase in CD4+ T cells, a shift from naïve to memory/effector phenotype, an increased frequency of exhausted phenotypes (programmed death-1 [PD-1], T cell Ig and mucin protein-3 [Tim-3] and Tregs), an abundance of Th17s and Tc17s and an imbalance in Th17/Tc17 and Th17/Treg ratios. Furthermore, in OSCC patients, we also found that CD4+ T cells were significantly increased in patients with larger tumours than smaller tumours, memory/effector phenotype and exhausted phenotypes were significantly associated with advanced clinical stage and lymph node metastasis, and the Th17/Treg ratio was associated with early clinical stage and no lymph node metastasis. CONCLUSION: PBMC-Ts may be involved in the development and progression of OSCC, which suggested to be a manifestation of an immune response between host and tumour neoantigens.

The repertoire of tumor-infiltrating lymphocytes within the microenvironment of oral squamous cell carcinoma reveals immune dysfunction.

BACKGROUND: The role of tumor-infiltrating lymphocytes (TILs) in the immune remodeling of tumor microenvironments (TME) in oral squamous cell carcinoma (OSCC) remains controversial. In this study, we pursued a comprehensive characterization of the repertoire of TILs and then analyzed its clinical significance and potential prognostic value. METHODS: Fresh tumor tissue samples and peripheral blood from 83 OSCC patients were collected to comprehensively characterize the phenotypes and frequencies of TILs by flow cytometry. Archived paraffin-embedded tissues derived from 159 OSCC patients were analyzed by immunohistochemistry to further assess the TIL repertoire. The clinical significance of TILs and their potential prognostic value were further analyzed. RESULTS: A series of unique features of TILs were observed. IL-17 was highly expressed in betel nut chewers, and CD20 was abundantly expressed in patients who did not drink alcohol; high expression of CD138, PD-L1, and Foxp3 was associated with poor prognosis. The Th17/Treg ratio was an independent prognostic factor for patient survival with greater predictive accuracy for overall survival. CONCLUSIONS: Our results suggest an antigen-driven immune response; however, the immune dysfunction within the microenvironment in OSCC and the Th17/Treg balance may play important roles in the modulation of antitumor immunity.

Locoregional surgical treatment improves the prognosis in primary metastatic breast cancer patients with a single distant metastasis except for brain metastasis.

BACKGROUND: We aimed to validate the clinical significance of locoregional surgery in improving the prognosis of primary metastatic breast cancer (pMBC). METHODS: We conducted a population-based retrospective study by analyzing clinical data obtained from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) database. Stratification analysis was employed to assess the effect of breast surgery on breast cancer-specific survival and overall survival. Then propensity score matching and COX regression models were employed to evaluate the survival advantages of breast surgery, if any in patients with pMBC. RESULTS: The median BCSS and OS in the surgery group were almost twice of that in the group without surgery. Breast surgery provided a survival advantage for patients with a single metastasis in the bone, liver or lung, but not in the brain. We found that axillary lymph node dissection performed in combination with specific breast surgical procedures did not result in a significant improvement in survival. Additionally, when combined with radiotherapy and/or chemotherapy, surgery significantly improved the survival and was not influenced by the molecular subtype and tumor size. Finally, using COX regression models before and after propensity score matching, breast surgery was found to reduce the risk of mortality in patients with MBC by more than 40%. CONCLUSIONS: The effect of locoregional surgery has been underestimated in pMBC patients. Surgical procedures should be seriously considered when planning combination treatments for pMBC patients with a single metastasis except for brain metastasis.

SETD7 is a prognosis predicting factor of breast cancer and regulates redox homeostasis.

SETD7 is a methyltransferase that specifically catalyzes the monomethylation of lysine 4 on histone H3. A variety of studies has revealed the role of SETD7 in posttranslational modifications of non-histone proteins. However, the prognostic value of SETD7 on breast cancer and the ability of SETD7 of regulating intrinsic redox homeostasis has never been investigated. In this study, using The Cancer Genome Atlas (TCGA) database, we revealed that SETD7 was a potential prognostic marker of breast cancer. Median survival time of patients with low SETD7 expression (18.1 years) was twice than that of SETD7 low-expressed patients (9.5 years). We demonstrated that SETD7 promoted tumor cell proliferation and prevented cell apoptosis and that SETD7 delicately maintained the redox homeostasis through regulating the levels of GSH/GSSG and ROS. Further studies indicated that SETD7 was a positive activator of KEAP1-NRF2 pathway. Using dual luciferase assay, we revealed the role of SETD7 as a transcriptional activator of antioxidant enzymes. Downregulation of SETD7 in MCF7 and MDA-MB-231 cells impaired the expression of antioxidant enzymes and induces imbalance of redox status. Together, we proposed SETD7 as a prognostic marker of breast cancer and a novel antioxidant promoter under oxidative stress in breast cancer.