Application, knowledge and training needs regarding comprehensive geriatric assessment among geriatric practitioners in healthcare institutions: a cross-sectional study.

BACKGROUND: This study aimed to investigate the actual application, knowledge, and training needs of comprehensive geriatric assessment (CGA) among geriatric practitioners in China. METHODS: A total of 225 geriatric practitioners attending the geriatric medicine or geriatric nursing training were recruited for this cross-sectional study. The questionnaire included demographics, healthcare institution characteristics, the actual application, knowledge, training needs, and barriers to CGA and geriatric syndromes (GS). RESULTS: Physicians and nurses were 57.3% and 42.7%, respectively. 71.1% were female, with a median age was 35 years. Almost two-thirds (140/225) of geriatric practitioners reported exposure to CGA in their clinical practice. The top five CGA evaluation items currently used were malnutrition risk (49.8%), fall risk (49.8%), activity of daily living (48.0%), pain (44.4%), and cognitive function (42.7%). Median knowledge scores for the management procedures of GS ranged from 2 to 6. Physicians identified medical insurance payment issues (29.5%) and a lack of systematic specialist knowledge and technology (21.7%) as the two biggest barriers to practicing geriatrics. Nurses cited a lack of systematic specialist knowledge and technology (52.1%) as the primary barrier. In addition, physicians and nurses exhibited significant differences in their knowledge of CGA-specific evaluation items and management procedures for GS (all P < 0.05). However, there were no significant differences in their training needs, except for polypharmacy. CONCLUSIONS: The rate of CGA application at the individual level, as well as the overall knowledge among geriatric practitioners, was not adequate. Geriatric education and continuous training should be tailored to address the specific roles of physicians and nurses, as well as the practical knowledge reserves, barriers, and training needs they face.

Development and validation of a multi-modality fusion deep learning model for differentiating glioblastoma from solitary brain metastases. / åŒºåˆ†èƒ¶è´¨æ¯ç»†èƒžç˜¤å’Œå•å‘æ€§è„‘è½¬ç§»ç˜¤çš„å¤šæ¨¡æ€èžåˆæ·±åº¦å­¦ä¹ æ¨¡åž‹çš„å¼€å‘å’ŒéªŒè¯.

OBJECTIVES: Glioblastoma (GBM) and brain metastases (BMs) are the two most common malignant brain tumors in adults. Magnetic resonance imaging (MRI) is a commonly used method for screening and evaluating the prognosis of brain tumors, but the specificity and sensitivity of conventional MRI sequences in differential diagnosis of GBM and BMs are limited. In recent years, deep neural network has shown great potential in the realization of diagnostic classification and the establishment of clinical decision support system. This study aims to apply the radiomics features extracted by deep learning techniques to explore the feasibility of accurate preoperative classification for newly diagnosed GBM and solitary brain metastases (SBMs), and to further explore the impact of multimodality data fusion on classification tasks. METHODS: Standard protocol cranial MRI sequence data from 135 newly diagnosed GBM patients and 73 patients with SBMs confirmed by histopathologic or clinical diagnosis were retrospectively analyzed. First, structural T1-weight, T1C-weight, and T2-weight were selected as 3 inputs to the entire model, regions of interest (ROIs) were manually delineated on the registered three modal MR images, and multimodality radiomics features were obtained, dimensions were reduced using a random forest (RF)-based feature selection method, and the importance of each feature was further analyzed. Secondly, we used the method of contrast disentangled to find the shared features and complementary features between different modal features. Finally, the response of each sample to GBM and SBMs was predicted by fusing 2 features from different modalities. RESULTS: The radiomics features using machine learning and the multi-modal fusion method had a good discriminatory ability for GBM and SBMs. Furthermore, compared with single-modal data, the multimodal fusion models using machine learning algorithms such as support vector machine (SVM), Logistic regression, RF, adaptive boosting (AdaBoost), and gradient boosting decision tree (GBDT) achieved significant improvements, with area under the curve (AUC) values of 0.974, 0.978, 0.943, 0.938, and 0.947, respectively; our comparative disentangled multi-modal MR fusion method performs well, and the results of AUC, accuracy (ACC), sensitivity (SEN) and specificity(SPE) in the test set were 0.985, 0.984, 0.900, and 0.990, respectively. Compared with other multi-modal fusion methods, AUC, ACC, and SEN in this study all achieved the best performance. In the ablation experiment to verify the effects of each module component in this study, AUC, ACC, and SEN increased by 1.6%, 10.9% and 15.0%, respectively after 3 loss functions were used simultaneously. CONCLUSIONS: A deep learning-based contrast disentangled multi-modal MR radiomics feature fusion technique helps to improve GBM and SBMs classification accuracy.

Gas-Phase Alcoholysis of Benzylic Halides in the Atmospheric Pressure Ionization Source.

The present study investigates the gas-phase alcoholysis reaction of benzylic halides under atmospheric pressure chemical ionization (APCI) conditions. The APCI corona discharge is used to initiate the novel reaction, which is monitored by ion trap mass spectrometry (IT-MS). The model compound α,α,α-trifluorotoluene is applied to observe the cascade methoxylation reaction during the +APCI-MS analysis, resulting in the formation of [PhC(OCH3)2]+. Based on the results of isotopic labeling and substrate expansion experiments, an addition-elimination mechanism is proposed: initially, the reaction was initiated by the dissociation of fluorine from PhCF3 under APCI condition, leading to the formation of [PhCF2]+; subsequently, two methanol molecules nucleophilicly attack [PhCF2]+ stepwisely, accompanied by the elimination of HF, yielding the product ion [PhC(OCH3)2]+. The proposed mechanism was further corroborated by theoretical calculations. The results of substrate scope expansion experiments suggest that this in-source reaction has the potential to differentiate the positional isomers of alcohols and phenols.

Erratum: Targeting sphingosine kinase 2 suppresses cell growth and synergizes with BCL2/BCL-XL inhibitors through NOXA-mediated MCL1 degradation in cholangiocarcinoma.

[This corrects the article on p. 546 in vol. 9, PMID: 30949409.].

Lithium chloride induces apoptosis by activating endoplasmic reticulum stress in pancreatic cancer.

Lithium compounds, a classic class of metal complex medicine that target GSK 3ß and are widely known as mood-stabilizer, have recently been reported as potential anti-tumor drugs. The objective of this investigation was to explore the anticancer potential of lithium chloride (LiCl) and elucidate its mode of action in pancreatic cancer cells. The MTT, colony formation, and Edu assay were used to evaluate the impact of LiCl on pancreatic cancer cell proliferation. Various methods were employed to investigate the anti-tumor activity of LiCl and its underlying mechanisms. Cell cycle analysis and apoptosis detection assays were utilized for in vitro experiments, while the orthotopic pancreatic cancer mouse model was employed to evaluate the effectiveness of LiCl treatment in vivo. Furthermore, the impact of LiCl on the proliferation of patient-derived organoids was also studied. The results demonstrated that LiCl inhibited the proliferation of pancreatic cancer (PC) cells, induced G2/M phase arrest, and activated apoptosis. Notably, the triggering of endoplasmic reticulum (ER) stress by LiCl was observed, leading to the activation of the PERK/CHOP/GADD34 pathway, which subsequently promoted apoptosis in PC cells. In the future, Lithium compounds could become an essential adjunct in the treatment of human pancreatic cancer.

Single cell transcriptomic analyses implicate an immunosuppressive tumor microenvironment in pancreatic cancer liver metastasis.

Pancreatic ductal adenocarcinoma (PDAC) is a highly metastatic disease refractory to all targeted and immune therapies. However, our understanding of PDAC microenvironment especially the metastatic microenvironment is very limited partly due to the inaccessibility to metastatic tumor tissues. Here, we present the single-cell transcriptomic landscape of synchronously resected PDAC primary tumors and matched liver metastases. We perform comparative analysis on both cellular composition and functional phenotype between primary and metastatic tumors. Tumor cells exhibit distinct transcriptomic profile in liver metastasis with clearly defined evolutionary routes from cancer cells in primary tumor. We also identify specific subtypes of stromal and immune cells critical to the formation of the pro-tumor microenvironment in metastatic lesions, including RGS5+ cancer-associated fibroblasts, CCL18+ lipid-associated macrophages, S100A8+ neutrophils and FOXP3+ regulatory T cells. Cellular interactome analysis further reveals that the lack of tumor-immune cell interaction in metastatic tissues contributes to the formation of the immunosuppressive microenvironment. Our study provides a comprehensive characterization of the transcriptional landscape of PDAC liver metastasis.

Effect of the Dual Glucose­Dependent Insulinotropic Peptide/Gulcagon­like Peptide 1 Receptor Agonist Tirzepatide on Lipid Profile and Waist Circumference: A Systematic Review and Meta­analysis

PURPOSE: Tirzepatide, a dual glucose-dependent insulinotropic peptide and glucagon-like peptide 1 receptor agonist, has been approved by the US Food and Drug Administration for the treatment of type 2 diabetes. The purpose of this meta-analysis is to evaluate the impact of tirzepatide on lipid profile and waist circumference (WC), both of which are risk factors of cardiovascular diseases. METHODS: The PubMed, Embase, Cochrane Library, Web of Science, and ClinicalTrials.gov databases were systematically searched for articles published from database inception to July 31, 2022. This meta-analysis included 7 randomized controlled trials with a minimum duration of 12 weeks that compared tirzepatide with placebo or other antidiabetic medications. The random-effects model was used to estimate mean differences in lipid profile and WC from baseline. The Cochrane risk-of-bias tool for randomized trials, version 2 was used to assess the outcome's risk of bias. We evaluated the evidence using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) system. FINDINGS: A total of 8 articles from 7 trials with 7151 participants were included. All 3 eligible maintenance doses of tirzepatide (5, 10, and 15 mg once a week) were effective in increasing total cholesterol (TC) (P < 0.05), HDL-C (P < 0.05), VLDL-C (P < 0.01), triglyceride (TG) (P < 0.01), and WC (P < 0.01) changes from baseline compared with control agents including placebo, semaglutide, dulaglutide, and degludec. Although the evidence for VLDL-C and TGs by GRADE were high or moderate, the evidences for TC, HDL-C, and WC were low or moderate. Only 5mg once-weekly tirzepatide (P < 0.05), not 10 or 15 mg, could induce significant alteration in LDL-C before sensitivity analysis. The evidence by GRADE was moderate. IMPLICATIONS: Tirzepatide had superiority over placebo or other antidiabetic agents in controlling lipid and WC levels. However, the levels of evidence by GRADE varied greatly across different outcome indicators. Limitations of the study include evaluating secondary outcomes of original trials for the meta-analyses, not assessing the effect of baseline lipid-lowering therapy on lipid levels, and not exploring the bias induced by glycemic improvement and weight loss.

Protein tyrosine phosphatase nonreceptor type 2 exerts antimetastatic functions in pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is a highly invasive tumor with a dismal prognosis. Recent studies have demonstrated PTPN2 (protein tyrosine phosphatase nonreceptor type 2) as a potential target for cancer therapy. However, the functions of PTPN2 in PDAC progression remain poorly understood. In this study, we found PTPN2 expression was downregulated in PDAC tissues, and decreased PTPN2 expression was associated with unfavorable prognosis. Functional studies indicated that PTPN2 knockdown promoted the migration and invasion abilities of PDAC cells in vitro, and the liver metastasis in vivo through epithelial-mesenchymal transition process. Mechanistically, MMP-1 was identified as a downstream target of PTPN2 via RNA-seq data and was responsible for the enhanced metastasis of PDAC cells upon PTPN2 knockdown. Moreover, according to chromatin immunoprecipitation and electrophoretic mobility shift assay, PTPN2 depletion transcriptionally activated MMP-1 via regulating the interaction of p-STAT3 with its distal promoter. This study, for the first time, demonstrated that PTPN2 inhibited PDAC metastasis, and presented a novel PTPN2/p-STAT3/MMP-1 axis in PDAC progression.

PD-1 blockade plus chemoradiotherapy as preoperative therapy for patients with BRPC/LAPC: A biomolecular exploratory, phase II trial.

This is a phase II study of PD-1 blockade plus chemoradiotherapy as preoperative therapy for patients with locally advanced or borderline resectable pancreatic cancer (LAPC or BRPC, respectively). Twenty-nine patients are enrolled in the study. The objective response rate (ORR) is 60%, and the R0 resection rate is 90% (9/10). The 12-month progression-free survival (PFS) rate and 12-month overall survival (OS) rate are 64% and 72%, respectively. Grade 3 or higher adverse events are anemia (8%), thrombocytopenia (8%), and jaundice (8%). Circulating tumor DNA analysis reveals that patients with a >50% decline in maximal somatic variant allelic frequency (maxVAF) between the first clinical evaluation and baseline have a longer survival outcome and a higher response rate and surgical rate than those who are not. PD-1 blockade plus chemoradiotherapy as preoperative therapy displays promising antitumor activity, and multiomics potential predictive biomarkers are identified and warrant further verification.

Clinical profiles and intraoperative identification of complex glands in stage I lung adenocarcinoma.

OBJECTIVES: This study aimed to investigate the potential of complex glandular patterns (CGP) in lymph node micrometastasis (LNMM) and to determine the clinical beneficiaries in stage I lung adenocarcinoma (LUAD) with CGP. Meanwhile, the feasibility of detecting CGP on frozen section was also evaluated. METHODS: We retrospectively analysed the clinicopathological characteristics of 848 pathologic-stage I LUADs. A logistic regression model and a Cox proportional-hazards model were conducted to define the risk factors for LNMM and survival respectively. Furthermore, 5 pathologists reviewed frozen sections of 100 LUADs independently. RESULTS: The logistic regression model indicated that CGP [odds ratio 3.89, 95% confidence interval (CI) 2.46-6.15; P < 0.001] was an independent predictor of the presence of LNMM. Subgroup analysis revealed that CGP-present/LNMM-positive LUAD had the highest risk of both loco-regional and distant recurrence. Moreover, adequate lymphadenectomy [recurrence-free survival: hazard ratio (HR) 0.61, 95% CI 0.40-0.95; P = 0.028; overall survival: HR 0.64, 95% CI 0.41-0.99; P = 0.043] and adjuvant chemotherapy (recurrence-free survival: HR 0.30, 95% CI 0.18-0.52; P < 0.001; overall survival: HR 0.33, 95% CI 0.19-0.57; P < 0.001) brought survival benefits to CGP-present patients, especially to CGP-present/LNMM-positive subgroup. Across the 5 pathologists, sensitivity ranged from 59 to 68% and specificity ranged from 79 to 83%, with moderate diagnostic agreement and high interobserver agreement for detecting CGP on frozen section. CONCLUSIONS: LNMM was more frequently observed in stage I LUAD with CGP. Adequate lymphadenectomy and adjuvant chemotherapy were associated with improved survival in CGP-present patients, especially in CGP-present/LNMM-positive subgroup. Additionally, it is feasible to identify CGP on frozen section intraoperatively.

Cinchonine-induced cell death in pancreatic cancer cells by downregulating RRP15.

Pancreatic cancer is characterized by poor prognosis and high mortality, while its treatment remains unsatisfactory. Cinchonine, a natural compound present in cinchona bark, is a potential anticancer drug. Whether cinchonine is of relevance to pancreatic cancer therapeutics is unclear. This research showed that the ribosomal RNA-processing 15 homolog (RRP15) expression is decreased in the pancreatic cancer, and RRP15 knockdown inhibited autophagy, and caused apoptosis in pancreatic cancer cells. Cinchonine treatment inhibits the expression of RRP15 and autophagy, and caused apoptosis by leading to the activation of Nrf2 axis in pancreatic cancer cells. Taken together, the above results indicate that cinchonine treatment inhibited autophagy and induced apoptosis through activating Nrf2 axis by downregulating RRP15 in pancreatic cancer cells.

Pirfenidone-loaded exosomes derived from pancreatic ductal adenocarcinoma cells alleviate fibrosis of premetastatic niches to inhibit liver metastasis.

Given the metastasis-promoting effect of pancreatic ductal adenocarcinoma (PDAC)-derived exosomes through activation of fibrotic premetastatic niches, targeting and intervening in premetastatic organs to inhibit distant metastasis have challenged researchers and clinicians. Herein, a self-biomimetic drug delivery system based on exosomes derived from PDAC (PF@PCCEs) was constructed to precisely deliver an antifibrotic drug (pirfenidone, PF) to fibrotic premetastatic organs. First, PDAC-derived exosomes were confirmed to remarkably promote liver fibrosis. Then the prepared PF@PCCEs were actively internalized by HSCs (hepatic stellate cells) and subsequently alleviated the activation of HSCs. Delivery of PF to the premetastatic liver affected the niche suitable for the colonization of circulating tumour cells, further suppressing liver metastasis of PDAC. Thus, the strategy for intervening in the formation of fibrotic premetastatic niches to inhibit liver metastasis of PDAC using PF@PCCEs might offer inspiration for the treatment of tumour metastasis.

Persimmon Proanthocyanidins with Different Degrees of Polymerization Possess Distinct Activities in Models of High Fat Diet Induced Obesity.

Proanthocyanidins is a kind of polyphenol that had been found with strong prevention ability on high fat diet induced obesity. However, whether proanthocyanidins with different polymerization degree showed different anti-obesity ability is unclear. Therefore, in this study, the effects of persimmon proanthocyanidins (P-PCs) and persimmon oligo-proanthocyanidins (P-OPCs) on high-fat diet induced obesity were systematically investigated. The findings indicated that both of P-PCs and P-OPCs significantly reduced the body weight, and P-PCs showed stronger anti-obesity ability compared with P-OPCs, P-OPCs seemed with stronger ability on improvement of insulin resistance. Furthermore, gut microbiota results indicated that the composition of the gut microbiota was changed after P-PCs and P-OPCs intervention in C57BL/6J mice. In addition, P-PCs exhibited strong inhibitory on the digestion of starch and fat. Above all, this study indicated that P-PCs showed stronger anti-obesity ability compared with P-OPCs.

A deep learning-based segmentation system for rapid onsite cytologic pathology evaluation of pancreatic masses: A retrospective, multicenter, diagnostic study.

BACKGROUND: We aimed to develop a deep learning-based segmentation system for rapid on-site cytopathology evaluation (ROSE) to improve the diagnostic efficiency of endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) biopsy. METHODS: A retrospective, multicenter, diagnostic study was conducted using 5345 cytopathological slide images from 194 patients who underwent EUS-FNA. These patients were from Nanjing Drum Tower Hospital (109 patients), Wuxi People's Hospital (30 patients), Wuxi Second People's Hospital (25 patients), and The Second Affiliated Hospital of Soochow University (30 patients). A deep convolutional neural network (DCNN) system was developed to segment cell clusters and identify cancer cell clusters with cytopathological slide images. Internal testing, external testing, subgroup analysis, and human-machine competition were used to evaluate the performance of the system. FINDINGS: The DCNN system segmented stained cells from the background in cytopathological slides with an F1-score of 0·929 and 0·899-0·938 in internal and external testing, respectively. For cancer identification, the DCNN system identified images containing cancer clusters with AUCs of 0·958 and 0·948-0·976 in internal and external testing, respectively. The generalizable and robust performance of the DCNN system was validated in sensitivity analysis (AUC > 0·900) and was superior to that of trained endoscopists and comparable to cytopathologists on our testing datasets. INTERPRETATION: The DCNN system is feasible and robust for identifying sample adequacy and pancreatic cancer cell clusters. Prospective studies are warranted to evaluate the clinical significance of the system. FUNDING: Jiangsu Natural Science Foundation; Nanjing Medical Science and Technology Development Funding; National Natural Science Foundation of China.

Hesperadin suppresses pancreatic cancer through ATF4/GADD45A axis at nanomolar concentrations.

Pancreatic cancer (PC) is a fatal disease with poor survival and limited therapeutic strategies. In this study, we identified Hesperadin as a potent anti-cancer compound against PC, from a high-throughput screening of a commercial chemical library associated with cell death. Hesperadin induced potent growth inhibition in PC cell lines and patient-derived tumor organoids in a dose- and time-dependent manner, with IC50 values in the nanomolar range. Cellular studies showed that Hesperadin caused mitochondria damage in PC cells, resulting in reactive oxygen species production, ER stress and apoptotic cell death. Transcriptomic analysis using RNA-sequencing data identified GADD45A as a potential target of Hesperadin. Mechanistic studies showed that Hesperadin could increase GADD45A expression in PC cells via ATF4, leading to apoptosis. Moreover, immunohistochemical staining of 92 PC patient samples demonstrated the correlation between ATF4 and GADD45A expression. PC xenograft studies demonstrated that Hesperadin could effectively inhibit the growth of PC cells in vivo. Together, these findings suggest that Hesperadin is a novel drug candidate for PC.

Diagnostic value of endoscopic ultrasound-guided fine needle aspiration with rapid on-site evaluation performed by endoscopists in solid pancreatic lesions: A prospective, randomized controlled trial.

BACKGROUND AND AIM: Endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) is the most established diagnostic method for pancreatic tissue. Rapid on-site evaluation by a trained endoscopist (self-ROSE) can improve the diagnostic accuracy. This research is aimed to analyze the application value of self-ROSE for EUS-FNA in solid pancreatic lesions. METHODS: A total of 194 consecutive patients with solid pancreatic lesions in Nanjing Drum Tower Hospital were randomized in a 1:1 ratio to EUS-FNA with or without self-ROSE in this single-center randomized controlled trial. Before initiating self-ROSE, the endoscopist underwent training for pancreatic cytologic sample adequacy assessment and cytopathological diagnosis of EUS-FNA in pathology department for 1 month. Some parts of the slides of EUS-FNA were air dried, stained on-site with BASO Liu's reagent, and on-site evaluated in self-ROSE group. Between the two groups, the diagnostic performance of EUS-FNA was analyzed, including sensitivity, specificity, positive predictive value, negative predictive value, and accuracy, with a comparison of the number of needle passes and the complication rates. RESULTS: The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value were 94.8%, 94.4%, 100%, 100%, and 58.3% in the self-ROSE group, respectively, and 70.1%, 65.1%, 100%, 100%, and 32.6% in the non-self-ROSE group. The diagnostic accuracy (P < 0.001) and sensitivity (P < 0.001) were both significantly increased during EUS-FNA in the self-ROSE group compared to the non-self-ROSE group. The rate of cytologic sample adequacy was 100% in self-ROSE group and 80.4% in non-self-ROSE group. The number of passes were 3.38 ± 1.00 in self-ROSE group and 3.22 ± 0.89 in non-self-ROSE group (P = 0.228). No complications were found in both. There was acceptable consistency between endoscopist and pathologist in the cytopathological diagnosis (kappa = 0.666, P < 0.05) and in the sample adequacy rate (kappa = 1.000, P < 0.001). CONCLUSION: Our results demonstrated that self-ROSE is valuable for EUS-FNA in the diagnosis of solid pancreatic lesions and is an important choice to routinely increase the accuracy of EUS-FNA in centers without ROSE assessment.

Evaluation of ultralow-dose computed tomography on detection of pulmonary nodules in overweight or obese adult patients.

PURPOSE: To evaluate the accuracy of pulmonary nodule (PN) detection in overweight or obese adult patients using ultralow-dose computed tomography (ULDCT) with tin filtration at 100 kV and advanced model-based iterative reconstruction (ADMIRE). METHODS: Eighty-one patients with body mass indices of ≥25 kg/m2 were enrolled. All patients underwent low-dose chest CT (LDCT), followed by ULDCT. Two radiologists experienced in LDCT established the standard of reference (SOR) for PNs. The number, type, size, and location of PNs were identified in the SOR. Effective dose, objective image quality (IQ), and subjective IQ based on two radiologists' scores were compared between ULDCT and LDCT. The detection performances of radiologists based on ULDCT were calculated according to the nodule analyses. Logistic regression was used to test for independent predictors of PN detection sensitivity. RESULTS: Both the effective dose and objective IQ were lower for ULDCT than for LDCT (both p < 0.001). Both radiologists rated the subjective IQ of the overall IQ on ULDCT to be diagnostically sufficient. In total, 234 nodules (mean diameter, 3.4 ± 1.9 mm) were classified into 32 subsolid, 149 solid, and 53 calcified nodules according to the SOR. The overall sensitivity of ULDCT for nodule detection was 93.6%. Based on multivariate analyses, the nodule types (p = 0.015) and sizes (p = 0.013) were independent predictors of nodule detection. CONCLUSIONS: Compared with LDCT, ULDCT with tin filtration at 100 kV and ADMIRE could significantly reduce the radiation dose in overweight or obese patients while maintaining good sensitivity for nodule detection.

Bisphenol A induces apoptosis in response to DNA damage through c-Abl/YAPY357/ p73 pathway in P19 embryonal carcinoma stem cells.

Bisphenol A (2,2-bis(4'-hydroxyphenyl) propane, BPA) is a well-known endocrine-disrupting compound that is widely used in various daily products and exhibits embryonic development toxicity and genotoxicity. However, the affected signaling pathways involved in embryonic development especially the interactions of involved proteins remain unclear. In our previous study (Ge et al., 2021), BPA induces DNA damage and apoptosis in Xenopus embryos, resulting in multiple malformations of larvae. However, the signaling pathways induced for apoptosis response to DNA damage are still not well elucidated. Here, we systematically elucidated the enriched pathways affected by BPA and illustrated the interactions of involved proteins. Results indicated that BPA affected multiple embryonic development pathways including Hippo, TGF-ß, Wnt, and Notch pathways. Furthermore, the protein-protein interaction network suggested that the c-Abl/YAPY357/p73 pathway may play a key role in apoptosis induction in response to DNA damage. P19 embryonal carcinoma stem cells, as a developmental toxicity model, were treated with different BPA concentrations to establish an in vitro model to verify the role of the c-Abl/YAPY357/p73 pathway in apoptosis. BPA triggered DNA damage and significantly upregulated the expression levels of c-Abl, phosphorylated YAPY357, phosphorylated p73Y99, and cleaved caspase-3 protein (p < 0.05), thus decreasing cell viability and transcriptionally activating the p73 target genes Bax and Puma. These data suggested that BPA activated the c-Abl/YAPY357/p73 pathway in response to DNA damage. Imatinib, an inhibitor of tyrosine kinase c-Abl, significantly downregulated the elevated expression levels of p-YAPY357, p-p73Y99 and cleaved caspase-3 (p < 0.05) caused by BPA and then ameliorated the cell index of P19 cells in the BPA-treated group. Therefore, this substance restrained the phosphokinase activity of c-Abl and suppressed the c-Abl/YAPY357/p73 pathway. Results showed that the c-Abl/YAPY357/p73 pathway served as a mechanism for caspase-3 activation that induced the apoptosis response to DNA damage stress.