Integrative radiomics clustering analysis to decipher breast cancer heterogeneity and prognostic indicators through multiparametric MRI.

Breast cancer diagnosis and treatment have been revolutionized by multiparametric Magnetic Resonance Imaging (mpMRI), encompassing T2-weighted imaging (T2WI), Diffusion-weighted imaging (DWI), and Dynamic Contrast-Enhanced MRI (DCE-MRI). We conducted a retrospective analysis of mpMRI data from 194 breast cancer patients (September 2019 to October 2023). Using 'pyradiomics' for radiomics feature extraction and MOVICS for unsupervised clustering. Interestingly, we identified two distinct patient clusters associated with significant differences in molecular subtypes, particularly in Luminal A subtype distribution (p = 0.03), estrogen receptor (ER) (p = 0.01), progesterone receptor (PR) (p = 0.04), mean tumor size (p < 0.01), lymph node metastasis (LNM) (p = 0.01), and edema (p < 0.01). Our study emphasizes mpMRI's potential in breast cancer by using radiomics-based cluster analysis to categorize tumors, uncovering heterogeneity, and aiding in personalized treatment strategies.

Serum lipid metabolism characteristics and potential biomarkers in patients with unilateral sudden sensorineural hearing loss.

BACKGROUND: Glycerophospholipids (GPLs) are essential for cell membrane structure and function. Sphingomyelin and its metabolites regulate cell growth, apoptosis, and stress responses. This study aimed to investigate lipid metabolism in patients experiencing sudden sensorineural hearing loss across all frequencies (AF-SSNHL). METHODS: The study included 60 patients diagnosed with unilateral AF-SSNHL, among whom 30 patients had a level of hearing improvement ≥ 15 dB after 6 months of follow-up. A propensity score-matched (2:1) control group was used. Liquid chromatography‒mass spectrometry based untargeted lipidomics analysis combined with multivariate statistics was performed to investigate the lipids change. The "lipidome" R package and weighted gene co-expression network analysis (WGCNA) were utilised to assess the lipids' structural features and the association between lipids and hearing. RESULTS: Lipidomics successfully differentiated the AF-SSNHL group from the control group, identifying 17 risk factors, mainly including phosphatidylcholine (PC), phosphatidylethanolamine (PE), and related metabolites. The ratios of lysophosphatidylcholine/PC, lysophosphatidylethanolamine/PE, and lysodimethylphosphatidylethanolamine/PE were upregulated, while some glycerophospholipid (GPL)-plasmalogens were downregulated in the AF-SSNHL group, indicating abnormal metabolism of GPLs. Trihexosylceramide (d34:1), PE (18:1e_22:5), and sphingomyelin (d40:3) were significantly different between responders and nonresponders, and positively correlated with hearing improvement. Additionally, the results of the WGCNA also suggested that partial GPL-plasmalogens were positively associated with hearing improvement. CONCLUSION: AF-SSNHL patients exhibited abnormally high blood lipids and pronounced GPLs metabolic abnormalities. Sphingolipids and GPL-plasmalogens had an association with the level of hearing improvement. By understanding the lipid changes, clinicians may be able to predict the prognosis of hearing recovery and personalize treatment approaches.

Development and validation of a predictive model for vertebral fracture risk in osteoporosis patients.

OBJECTIVE: This study aimed to develop and validate a predictive model for osteoporotic vertebral fractures (OVFs) risk by integrating demographic, bone mineral density (BMD), CT imaging, and deep learning radiomics features from CT images. METHODS: A total of 169 osteoporosis-diagnosed patients from three hospitals were randomly split into OVFs (n = 77) and Non-OVFs (n = 92) groups for training (n = 135) and test (n = 34). Demographic data, BMD, and CT imaging details were collected. Deep transfer learning (DTL) using ResNet-50 and radiomics features were fused, with the best model chosen via logistic regression. Cox proportional hazards models identified clinical factors. Three models were constructed: clinical, radiomics-DTL, and fusion (clinical-radiomics-DTL). Performance was assessed using AUC, C-index, Kaplan-Meier, and calibration curves. The best model was depicted as a nomogram, and clinical utility was evaluated using decision curve analysis (DCA). RESULTS: BMD, CT values of paravertebral muscles (PVM), and paravertebral muscles' cross-sectional area (CSA) significantly differed between OVFs and Non-OVFs groups (P < 0.05). No significant differences were found between training and test cohort. Multivariate Cox models identified BMD, CT values of PVM, and CSAPS reduction as independent OVFs risk factors (P < 0.05). The fusion model exhibited the highest predictive performance (C-index: 0.839 in training, 0.795 in test). DCA confirmed the nomogram's utility in OVFs risk prediction. CONCLUSION: This study presents a robust predictive model for OVFs risk, integrating BMD, CT data, and radiomics-DTL features, offering high sensitivity and specificity. The model's visualizations can inform OVFs prevention and treatment strategies.

Noninvasive prediction of CCL2 expression level in high-grade glioma patients.

BACKGROUND: Gliomas are recognized as the most frequent type of malignancies in the central nervous system, and efficacious prognostic indicators are essential to treat patients with gliomas and improve their clinical outcomes. The chemokine (C-C motif) ligand 2 (CCL2) is a promising predictor for glioma malignancy and progression. However, at present, the methods to evaluate CCL2 expression level are invasive and operator-dependent. OBJECTIVE: It was expected to noninvasively predict CCL2 expression levels in malignant glioma tissues by magnetic resonance imaging (MRI)-based radiomics and assess the association between the developed radiomics model and prognostic indicators and related genes. METHODS: MRI-based radiomics was used to predict CCL2 expression level using data obtained from The Cancer Imaging Archive (TCIA) and The Cancer Genome Atlas (TCGA) databases. A support vector machine (SVM)-based radiomics model and a logistic regression (LR)-based radiomics model were used to predict the radiomics score, and its correlation with CCL2 expression level was analyzed. RESULTS: The results revealed that there was an association between CCL2 expression level and the overall survival of cases with gliomas, and bioinformatics correlation analysis showed that CCL2 expression level was highly correlated with disease-related pathways, such as mTOR signaling pathway, cGMP-PKG signaling pathway, and MAPK signaling pathway. Both SVM- and LR-based radiomics data robustly predicted CCL2 expression level, and radiomics scores could also be used to predict the overall survival of patients. Moreover, the high/low radiomics scores were highly correlated with the known glioma-related genes, including CD70, CD27, and PDCD1. CONCLUSION: An MRI-based radiomics model was successfully developed, and its clinical benefits were confirmed, including the prediction of CCL2 expression level and patients' prognosis.

Effect of electroacupuncture pre-conditioning on the expression rhythm of core clock gene Bmal1 in uterine tissue of controlled hyperstimulation rats. / ç”µé’ˆé¢„å¤„ç†å¯¹ä¿ƒæŽ’åµå¤§é¼ å­å®«ç»„ç»‡æ ¸å¿ƒæ—¶é’ŸåŸºå› Bmal1表达节律的影响.

OBJECTIVES: To observe the effect of electroacupuncture (EA) pre-conditioning on the expression rhythm of clock gene Bmal1 in the uterine tissue of rats with controlled ovarian hyperstimulation(COH), so as to explore its mechanisms underlying improvement of the endometrial receptivity of ovarian superovulation during implantation. METHODS: Seventy-two female SD rats with typical estrous cycles were randomly divided into normal control, model and EA pre-conditioning (pre-EA) groups, with 24 rats in each group. The COH model was established by giving the rats with pregnant mare serum gonadotropin (PMSG) and human chorionic gonadotropin (HCG) by intraperitoneal injection. The rats of the pre-EA group received EA stimulation (1 Hz/5 Hz, a tolerable strength) of "Guanyuan"(CV4) and "Sanyinjiao"(SP6) for 15 min each time, once daily (at 21：00 every day). After successive EA intervention during the first two estrous cycles, the modeling began in the third estrus cycle and the EA intervention was continued till the end of modeling, followed by raising the rats with superovulation induction and male rats undergoing vasoligation in one cage (1∶1). The rats during the estrum in the normal control group or those of the model group at the end of modeling were raised together with the male rats undergoing vasoligation in one cage. On the 5th day (04：00 AM) after raising in one cage, the rats in the three groups were sacrificed in six batches every 4 hours, with 4 rats in each group in each batch. The H.E. staining was used for revealing alterations of the endometrial thickness, number of glands and blood vessels and tissue histology, and ELISA employed to ascertain the contents of estradiol (E2) and progesterone (Pg) in serum. The expression rhythm of core clock gene Bmal1 ［In the present study, Zeitgeber time (ZT) is an artificially set laboratory time, i.e., ZT7 (07：00) is light on and ZT19 (19：00) is light off.］ and the expression of endometrial HoxA10 and leukemia inhibitory factor (LIF) mRNAs were detected by quantitative real-time PCR. The Western blot was employed to detect the expression levels of HoxA10 and LIF proteins. RESULTS: Findings of the clock gene Bmal1 level showed that the expression peak was at ZT12 and the valley value at ZT20 in the normal control group, and that of the peak value was at ZT20 and valley value at ZT12 in the model group, while in the pre-EA group, the peak value was at ZT8, and the valley value at ZT4. The difference of Bmal1 levels among the three groups was most significant at ZT12 (12：00), therefore, the tissue samples were taken at ZT12 in this study for comparison of the levels of different indexes among the 3 groups. Compared with the control group, the endometrial thickness, number of glands and blood vessels, HoxA10 and LIF mRNAs and proteins were significantly down-regulated (P<0.01, P<0.05), and contents of serum E2 and Pg were considerably up-regulated in the model group (P<0.01, P<0.05). Relevant to the model group, the pre-EA group had an apparent increase in the endometrial thickness, number of glands and blood vessels, and expression levels of HoxA10 and LIF mRNAs and proteins (P<0.05, P<0.01), and a marked decrease in the serum Pg (P<0.05). At the ZT12 (12：00 noon), compared with the normal control group, the mRNA level of Bmal1 was significantly decreased in the model group (P<0.01)；and compared with the model group, the level of Bmal1 mRNA was significantly increased in the pre-EA group (P<0.05). In addition, at the node of ZT16, the mRNA level of Bmal1 was significantly decreased in the model group in comparison with the normal control group (P<0.01). CONCLUSIONS: EA preconditioning can improve the endometrial receptivity during the implantation window period in rats with COH, which may be related to its functions in regulating the expression of clock gene Bmal1 in the uterine tissue and in correcting the disturbance of clock gene rhythm.

Serum Prealbumin as a Potential Predictive Factor for Age-Related Hearing Loss: A Retrospective Study.

Objectives: Age-related hearing loss (ARHL) is a complex disease associated with the interaction of multiple factors. Furthermore, indicators of liver function represent the body's metabolic, immune, and repair abilities. This study investigated correlations between liver function and ARHL. Methods: A total of 107 patients with ARHL and 107 age- and sex-matched healthy volunteers were included. Linear correlations, logistic regression, and receiving operator characteristic curves were used to assess the associations between liver function and ARHL. Results: Serum prealbumin (PAB) levels were significantly lower in the ARHL group compared to the control group. Logistic regression analysis indicated that low PAB levels may be an independent risk factor for ARHL. The ARHL was divided into 2 groups according to the degree of hearing loss (moderately severe-to-profound and mild-to-moderate); the median ages in the 2 groups were 70.48 and 66.85 years, respectively, with the difference being significant. Age was an independent risk factor for moderately severe-to-profound ARHL, as shown by the logistic regression analysis. Conclusions: Lower PAB levels in patients with ARHL suggested that PAB may be a risk factor for ARHL. Furthermore, higher age in patients with ARHL was associated with a greater degree of hearing loss.

Mechanism of electroacupuncture in treating uterine endometrial fibrosis in intrauterine adhesions rats based on Wnt/ß-catenin pathway-mediated epithelial-mesenchymal transition. / 基于Wnt/ß-cateniné€šè·¯ä»‹å¯¼çš„ä¸Šçš®é—´è´¨è½¬åŒ–æŽ¢è®¨ç”µé’ˆæ²»ç–—å®«è ”ç²˜è¿žå¤§é¼ å­å®«å† è†œçº¤ç»´åŒ–çš„ä½œç”¨æœºåˆ¶.

OBJECTIVES: To observe the effect of electroacupuncture (EA) on the Wnt/ß-catenin signaling pathway and epithelial-mesenchymal transition (EMT)-related proteins in rats with intrauterine adhesions (IUA), so as to explore the possible mechanisms of EA in repairing endometrial damage in IUA. METHODS: Female SD rats were randomly divided into blank, model, EA, and ICG-001 groups, with 10 rats in each group. The IUA model was established by using mechanical scraping combined with lipopolysaccharide infection for double injury. In the EA group, "Guanyuan" (CV4) was needled and EA (2 Hz/15 Hz, 1-2 mA) was applied to "Zusanli" (ST36) and "Sanyinjiao"(SP6) on both sides. In the ICG-001 group, ICG-001 (5 mg/kg), the inhibitor of ß-catenin was intraperitoneally injected. After intervention, samples were taken from 5 rats in each group, and uterine endometrium morphology, endometrial thickness, and gland counts were observed using HE staining. Masson staining was used to assess the degree of fibrosis in the endometrial tissue. Immunohistochemistry was used to detect the positive expression of transforming growth factor ß1 (TGF-ß1), α-smooth muscle actin (α-SMA), fibronectin (FN), connective tissue growth factor (CTGF), type I collagen (Col- Ⅰ), glycogen synthase kinase-3ß (GSK-3ß), ß-catenin, E-cadherin, N-cadherin, and Vimentin in the endometrial tissue. Western blot was used to detect the relative expression of GSK-3ß, ß-catenin, E-cadherin, N-cadherin, and Vimentin proteins in the endometrial tissue. Another 5 rats from each group were placed in cages with male rats after intervention to record the number of embryo implantations. RESULTS: Necrosis and loss of endometrial tissue in the model group observed after HE staining were alleviated in the EA group, better than those in the ICG-001 group. Compared with the blank group, the numbers of glands and endometrial thickness in the uterine endometrial tissue, relative expression and positive expression of E-cadherin and GSK-3ß proteins in the uterine endometrial tissue, and embryo implantation numbers were reduced(P<0.000 1, P<0.001, P<0.01) in the model group, while fibrosis area ratio in the uterine endometrial tissue, TGF- ß 1, α -SMA, FN, CTGF, Col- Ⅰ positive expressions, N-cadherin, Vimentin, and ß-catenin proteins expression and positive expression were increased(P<0.000 1, P<0.001, P<0.01). Compared with the model group, the number of glands and endometrial thickness, E-cadherin and GSK-3ß proteins expression and positive expression, and embryo implantation numbers were increased (P<0.001, P<0.05, P<0.01) in the EA and ICG-001 groups, while the fibrosis area ratio in the uterine endometrial tissue, TGF-ß1, α-SMA, FN, CTGF, Col- Ⅰ positive expression, and N-cadherin, Vimentin, and ß-catenin proteins expression and positive expression were decreased(P<0.001, P<0.01, P<0.05). Compared with the EA group, the differences of the above-mentioned indicators in the ICG-001 group were not statistically significant. CONCLUSIONS: EA may reverse the EMT process and reduce the degree of fibrosis in endometrial tissue by inhibiting the Wnt/ß-catenin signaling pathway, thereby promoting the repair of endometrial damage in IUA.

Laser-Based Mobile Visible Light Communication System.

Mobile visible light communication (VLC) is key for integrating lighting and communication applications in the 6G era, yet there exists a notable gap in experimental research on mobile VLC. In this study, we introduce a mobile VLC system and investigate the impact of mobility speed on communication performance. Leveraging a laser-based light transmitter with a wide coverage, we enable a light fidelity (LiFi) system with a mobile receiving end. The system is capable of supporting distances from 1 m to 4 m without a lens and could maintain a transmission rate of 500 Mbps. The transmission is stable at distances of 1 m and 2 m, but an increase in distance and speed introduces interference to the system, leading to a rise in the Bit Error Rate (BER). The mobile VLC experimental system provides a viable solution to the issue of mobile access in the integration of lighting and communication applications, establishing a solid practical foundation for future research.

The regulatory effect of electroacupuncture on endometrial M1-type macrophages in rats with intrauterine adhesions. / ç”µé’ˆå¯¹å®«è ”ç²˜è¿žå¤§é¼ å­å®«å† è†œM1型巨噬细胞的调控作用.

OBJECTIVES: To observe the effect of electroacupuncture(EA) on endometrial fibrosis and M1-type macrophages in rats with intrauterine adhesions(IUA), so as to explore the possible mechanism of EA in the treatment of IUA. METHODS: Fifteen female SD rats were randomly divided into blank group, model group and EA group, with 5 rats in each group. The IUA rat model was established by double damage method using mechanical scraping combined with lipopolysaccharide infection. Rats in the EA group were treated with acupuncture at "Guanyuan"(CV4), and EA at bilateral "Zusanli"(ST36) and "Sanyinjiao"(SP6)for 20 minutes each time, once a day, for 3 consecutive cycles of estrus. Five rats in each group were sampled during the estrous period, and the endometrial morphology, endometrial thickness and the number of blood vessels and glands were observed after HE staining. The fibrotic area of the uterus was observed after Masson staining. The positive expressions of Runt-related transcription factor(RUNX1), transforming growth factor-ß1(TGF-ß1), connective tissue growth factor(CTGF), α-smooth muscle actin(α-SMA), collagen type I(Col-Ⅰ), cluster of differentiation 86(CD86), interleukin-1ß(IL-1ß), and tumor necrosis factor-α(TNF-α) in endometrial tissue were detected by immunohistochemistry. Western blot was used to detect relative protein expressions of RUNX1, TGF-ß1, α-SMA, CD86, and TNF receptor 2 (TNFR2), and real-time fluorescence quantitative PCR was used to detect mRNA expressions of RUNX1, TGF-ß1, α-SMA, CD86, and TNF-α in the endometrium. RESULTS: During the estrous phase, the endometrial layer in the model group was damaged, with reduced folds, disordered arrangement of epithelial cells, loose fibrous connective tissue, significant narrowing and adhesions in the uterine cavity, interstitial congestion, edema, and a significant infiltration of inflammatory cells with sparse glands. While uterine tissue structure of the EA group was basically intact, resembling a normal uterus, with more newly formed glands and a small amount of inflammatory cell infiltration. In comparison with the blank group, the endometrial thickness, the number of blood vessels, and the number of glands were significantly decreased(P<0.001) in the model group, while the ratio of uterine fibrosis area, the positive expressions of RUNX1, TGF-ß1, CTGF, α-SMA, Col-Ⅰ, CD86, IL-1ß, and TNF-α, the protein relative expressions of RUNX1, TGF-ß1, α-SMA, CD86 and TNFR2, and the mRNA relative expression levels of RUNX1, TGF-ß1, α-SMA, CD86 and TNF-α in the endometrium were significantly increased (P<0.001, P<0.01). Compared to the model group, the endometrial thickness, the number of blood vessels, and the number of glands were significantly increased(P<0.01, P<0.05) in the EA group, while the ratio of uterine fibrosis area, the positive expressions of RUNX1, TGF-ß1, CTGF, α-SMA, Col-Ⅰ, CD86, IL-1ß and TNF-α in the endometrial tissue, the protein expressions of RUNX1, TGF-ß1, α-SMA, CD86 and TNFR2, and the mRNA relative expressions of RUNX1, TGF-ß1, α-SMA, CD86 and TNF-α in the endometrium were significantly decreased (P<0.001, P<0.01, P<0.05). CONCLUSIONS: EA can improve endometrial fibrosis in IUA rats, which may be related to its function in decreasing the level of endometrial M1-type macrophages and the secretion of related inflammatory factors.

Wide field-of-view laser-based white light transmitter for visible light communications.

The advancement demands of high-speed wireless data link ask for higher requirements on visible light communication (VLC), where wide coverage stands as a critical criterion. Here, we present the design and implementation of a transmitter structure capable of emitting a high-power wide-coverage white light laser. This laser source exhibits excellent stability, with an irradiation range extending to a half-angle of 20°. Its high brightness satisfies the needs of indoor illumination while maintaining excellent communication performance. Utilizing bit-loading discrete multi-tone modulation, a peak data transmission rate of 3.24 Gbps has been achieved, spanning 1 to 5 m. Remarkably, the data rates exceed 2.5 Gbps within a 40° range at a distance of 5 m, enabling a long-distance, wide coverage, high-speed VLC link for future mobile network applications.

A novel cancer-germline gene DAZL promotes progression and cisplatin resistance of non-small cell lung cancer by upregulating JAK2 and MCM8.

Germline-specific genes are usually activated in cancer cells and drive cancer progression; such genes are called cancer-germline or cancer-testis genes. The RNA-binding protein DAZL is predominantly expressed in germ cells and plays a role in gametogenesis as a translational activator or repressor. However, its expression and role in non-small cell lung cancer (NSCLC) are unknown. Here, mining of RNA-sequencing data from public resources and immunohistochemical analysis of tissue microarrays showed that DAZL was expressed exclusively in testis among normal human tissues but ectopically expressed in NSCLC tissues. Testis and NSCLC cells expressed the shorter and longer transcript variants of the DAZL gene, respectively. Overexpression of the longer DAZL transcript promoted tumor growth in a mouse xenograft model. Silencing of DAZL suppressed cell proliferation, colony formation, migration, invasion, and cisplatin resistance in vitro and tumor growth in vivo. Quantitative proteomic analysis based on tandem mass tag and Western blot analysis showed that DAZL upregulated the expression of JAK2 and MCM8. RNA-binding protein immunoprecipitation assays showed that DAZL bound to the mRNA of JAK2 and MCM8. The JAK2 inhibitor fedratinib attenuated the oncogenic outcomes induced by DAZL overexpression, whereas silencing MCM8 counteracted the effects of DAZL overexpression on cisplatin-damaged DNA synthesis and half-maximal inhibitory concentration of cisplatin. In conclusion, DAZL was identified as a novel cancer-germline gene that enhances the translation of JAK2 and MCM8 to promote NSCLC progression and resistance to cisplatin, respectively. These findings suggest that DAZL is a potential therapeutic target in NSCLC.

Mice harboring the T316N variant in the GABAAR γ2 subunit exhibit sleep-related hypermotor epilepsy phenotypes and hypersynchronization in the thalamocortical pathway.

OBJECTIVE: Sleep-related hypermotor epilepsy (SHE) is a focal epilepsy syndrome characterized by seizures that predominantly occur during sleep. The pathogenesis of these seizures remains unclear. We previously detected rare variants in GABRG2, which encodes the γ2 subunit of γ-aminobutyric acid type A receptor (GABAAR), in patients with SHE and demonstrated that these variants impaired GABAAR function in vitro. However, the mechanisms by which GABRG2 variants contribute to seizure attacks during sleep remain unclear. METHODS: In this study, we designed a knock-in (KI) mouse expressing the mouse Gabrg2 T316N variant, corresponding to human GABRG2 T317N variant, using CRISPR/Cas9. Continuous video-electroencephalogram monitoring and in vivo multichannel electrophysiological recordings were performed to explore seizure susceptibility to pentylenetetrazol (PTZ), alterations in the sleep-wake cycle, spontaneous seizure patterns, and synchronized activity in the motor thalamic nuclei (MoTN) and secondary motor cortex (M2). Circadian variations in the expression of total, membrane-bound, and synaptic GABAAR subunits were also investigated. RESULTS: No obvious changes in gross morphology were detected in Gabrg2T316N/+ mice compared to their wild-type (Gabrg2+/+) littermates. Gabrg2T316N/+ mice share key phenotypes with patients, including sleep fragmentation and spontaneous seizures during sleep. Gabrg2T316N/+ mice showed increased susceptibility to PTZ-induced seizures and higher mortality after seizures. Synchronization of the local field potentials between the MoTN and M2 was abnormally enhanced in Gabrg2T316N/+ mice during light phase, when sleep dominates, accompanied by increased local activities in the MoTN and M2. Interestingly, in Gabrg2+/+ mice, GABAAR γ2 subunits showed a circadian increase on the neuronal membrane and synaptosomes in the transition from dark phase to light phase, which was absent in Gabrg2T316N/+ mice. CONCLUSION: We generated a new SHE mouse model and provided in vivo evidence that rare variants of GABRG2 contribute to seizure attacks during sleep in SHE.

Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.

Purpose: To develop and validate a deep learning radiomics (DLR) model that uses X-ray images to predict the classification of osteoporotic vertebral fractures (OVFs). Material and methods: The study encompassed a cohort of 942 patients, involving examinations of 1076 vertebrae through X-ray, CT, and MRI across three distinct hospitals. The OVFs were categorized as class 0, 1, or 2 based on the Assessment System of Thoracolumbar Osteoporotic Fracture. The dataset was divided randomly into four distinct subsets: a training set comprising 712 samples, an internal validation set with 178 samples, an external validation set containing 111 samples, and a prospective validation set consisting of 75 samples. The ResNet-50 architectural model was used to implement deep transfer learning (DTL), undergoing -pre-training separately on the RadImageNet and ImageNet datasets. Features from DTL and radiomics were extracted and integrated using X-ray images. The optimal fusion feature model was identified through least absolute shrinkage and selection operator logistic regression. Evaluation of the predictive capabilities for OVFs classification involved eight machine learning models, assessed through receiver operating characteristic curves employing the "One-vs-Rest" strategy. The Delong test was applied to compare the predictive performance of the superior RadImageNet model against the ImageNet model. Results: Following pre-training separately on RadImageNet and ImageNet datasets, feature selection and fusion yielded 17 and 12 fusion features, respectively. Logistic regression emerged as the optimal machine learning algorithm for both DLR models. Across the training set, internal validation set, external validation set, and prospective validation set, the macro-average Area Under the Curve (AUC) based on the RadImageNet dataset surpassed those based on the ImageNet dataset, with statistically significant differences observed (P<0.05). Utilizing the binary "One-vs-Rest" strategy, the model based on the RadImageNet dataset demonstrated superior efficacy in predicting Class 0, achieving an AUC of 0.969 and accuracy of 0.863. Predicting Class 1 yielded an AUC of 0.945 and accuracy of 0.875, while for Class 2, the AUC and accuracy were 0.809 and 0.692, respectively. Conclusion: The DLR model, based on the RadImageNet dataset, outperformed the ImageNet model in predicting the classification of OVFs, with generalizability confirmed in the prospective validation set.

Multicellular ecotypes shape progression of lung adenocarcinoma from ground-glass opacity toward advanced stages.

Lung adenocarcinoma is a type of cancer that exhibits a wide range of clinical radiological manifestations, from ground-glass opacity (GGO) to pure solid nodules, which vary greatly in terms of their biological characteristics. Our current understanding of this heterogeneity is limited. To address this gap, we analyze 58 lung adenocarcinoma patients via machine learning, single-cell RNA sequencing (scRNA-seq), and whole-exome sequencing, and we identify six lung multicellular ecotypes (LMEs) correlating with distinct radiological patterns and cancer cell states. Notably, GGO-associated neoantigens in early-stage cancers are recognized by CD8+ T cells, indicating an immune-active environment, while solid nodules feature an immune-suppressive LME with exhausted CD8+ T cells, driven by specific stromal cells such as CTHCR1+ fibroblasts. This study also highlights EGFR(L858R) neoantigens in GGO samples, suggesting potential CD8+ T cell activation. Our findings offer valuable insights into lung adenocarcinoma heterogeneity, suggesting avenues for targeted therapies in early-stage disease.

Intentional wedge resection versus segmentectomy for ≤2 cm ground-glass-opacity-dominant non-small cell lung cancer: a real-world study using inverse probability of treatment weighting.

BACKGROUND: Whether wedge resection is oncological suitable for ground glass opacity (GGO)-dominant non-small cell lung cancer (NSCLC) ≤2 cm is still debatable. The aim of this study is to investigate the short-term and long-term outcomes of intentional wedge resection and segmentectomy for those patients. MATERIALS AND METHODS: This was a real-world study from one of the largest thoracic surgery centers in West China. Patients who underwent intentional wedge resection or segmentectomy for ≤2 cm CTR (consolidation-to-tumor) ≤0.5 NSCLC were consecutively included between December 2009 and December 2018. Data were prospectively collected and retrospectively reviewed. Inverse probability of treatment weighting (IPTW) was used to balance baseline characteristics. Long-term outcomes, including overall survival (OS), recurrence-free survival (RFS), and lung cancer-specific survival (LCSS), were analyzed using Cox proportional model. RESULTS: A total of 1209 patients were included (497 in the wedge resection group, 712 in the segmentectomy group). Compared to segmentectomy, wedge resection had a significantly lower rate of complications (3.8 vs. 7.7%, P =0.008), a shorter operating time (65 min vs. 114 min, P <0.001), and a shorter postoperative stay (3 days vs. 4 days, P <0.001). The median follow-up was 70.1 months. The multivariate Cox model indicated that wedge resection had survival outcomes that were similar to segmentectomy in terms of 5-year OS (98.8 vs. 99.6%, HR=1.98, 95% CI: 0.59-6.68, P =0.270), 5-year RFS (98.8 vs. 99.5%, HR=1.88, 95% CI: 0.56-6.31, P =0.307) and 5-year LCSS (99.9 vs. 99.6%, HR=1.76, 95% CI: 0.24-13.15, P =0.581). CONCLUSION: Intentional wedge resection is an appropriate choice for ≤2 cm GGO-dominant NSCLC.

Neoadjuvant chemotherapy plus concurrent chemoradiotherapy versus concurrent chemoradiotherapy alone in elderly patients with stage III-IVa nasopharyngeal carcinoma: A real-world study based on medical comorbidities.

PURPOSE: To evaluate the outcomes and toxicities of adding neoadjuvant chemotherapy (NAC) to concurrent chemoradiotherapy (CCRT) in elderly (≥65 years) patients with locoregionally advanced nasopharyngeal carcinoma (LANPC, stage III-IVa). METHODS AND MATERIALS: Using an NPC-specific database, 245 elderly patients with stage III-IVa NPC, receiving CCRT +/- NAC, and an Adult Co-morbidity Evaluation 27 (ACE-27) score <2 were included. Recursive partitioning analysis (RPA) based on TNM stage and Epstein-Barr virus (EBV) DNA were applied for risk stratification. The primary end point was disease-free survival (DFS). RESULTS: Two risk groups were generated by the RPA model. In the high-risk group (EBV DNA < 4000 copy/ml with stage IVa & EBV DNA ≥4000 copy/ml with stage III-IVa), patients treated with NAC plus CCRT achieved improved 5-year DFS rates compared to those who received CCRT alone (56.9% vs. 29.4%; p = 0.003). But we failed to observe the survival benefit of additional NAC in the low-risk group (EBV DNA <4000 copy/ml with stage III). The most common severe acute toxic effects were leucopenia (46.8% vs. 24.4%) and neutropenia (43.7% vs. 20.2%) in the NAC plus CCRT group versus CCRT group with statistically significant differences. CONCLUSIONS: The addition of NAC to CCRT was associated with better DFS for the high-risk group of elderly LANPC patients with ACE-27 score <2. However, the survival benefit of additional NAC was not observed in low-risk patients.

New progress in the treatment of diffuse midline glioma with H3K27M alteration.

Diffuse midline glioma with H3K27 M alteration is a primary malignant tumor located along the linear structure of the brain, predominantly manifesting in children and adolescents. The mortality rate is exceptionally high, with a mere 1 % 5-year survival rate for newly diagnosed patients. Beyond conventional surgery, radiotherapy, and chemotherapy, novel approaches are imperative to enhance patient prognosis. This article comprehensively reviews current innovative treatment modalities and provides updates on the latest research advancements in preclinical studies and clinical trials focusing on H3K27M-altered diffuse midline glioma. The goal is to contribute positively to clinical treatment strategies.

Optimum timing of lung resection surgery following SARS-CoV-2 infection for non-small cell lung cancer.

BACKGROUND: The impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection on postoperative recovery of non-small cell lung cancer (NSCLC) is need to be understood, thereby informing the optimal timing of surgical decision-making during the COVID-19 pandemic for NSCLC patients. This study reports the postoperative outcomes of surgical NSCLC patients with preoperative SARS-CoV-2 infection. METHOD: This single-center retrospective cohort study included 241 NSCLC patients who underwent lobectomy or sub-lobectomy between December 1, 2022 and February 14, 2023. Surgical outcomes of patients with preoperative SARS-CoV-2 infection (stratified by the time from diagnosis of SARS-CoV-2 infection to surgery) were compared with those without preoperative SARS-CoV-2 infection. The primary outcomes were total postoperative complications and postoperative pulmonary complications (PPCs), the secondary outcomes included operation time, total postoperative drainage and time, length of hospital stay (LOS), 30-day and 90-day postoperative symptoms. RESULTS: This study included 153 (63.5%) patients with preoperative SARS-CoV-2 infection and 88 (36.5%) patients without previous SARS-CoV-2 infection. In patients with a preoperative SARS-CoV-2 diagnosis, the incidence of total postoperative complications (OR, 3.00; 95% CI, 1.12-8.01; p = 0.028) and PPCs (OR, 4.20; 95% CI, 1.11-15.91; p = 0.035) both increased in patients infected having surgery within 2 weeks compared with non-infection before surgery. However, patients who underwent lung resection more than 2 weeks after SARS-CoV-2 diagnosis had a similar risk of postoperative complications and surgical outcomes with those non-infection before surgery. CONCLUSION: This is the first study to provide evidence regarding the optimum timing of lung resection surgery and assessing early outcomes after surgery in NSCLC patients with SARS-CoV-2 infection. Our study documents that the SARS-CoV-2 infection did not complicate surgical procedures for lung cancer, and suggest that lung surgery should be postponed at least 2 weeks after SARS-CoV-2 infection for NSCLC patients.

Prenatal Nicotine Exposure Raises Male Blood Pressure via FTO-Mediated NOX2/ROS Signaling.

BACKGROUND: Cigarette smoking/nicotine exposure in pregnancy shows an increased risk of hypertension in offspring, but the mechanisms are unclear. This study tested the hypothesis that m6A RNA hypomethylation epigenetically regulates vascular NOX (NADPH oxidase) and reactive oxygen species production, contributing to the fetal programming of a hypertensive phenotype in nicotine-exposed offspring. METHODS: Pregnant rats were exposed to episodic chronic intermittent nicotine aerosol (CINA) or saline aerosol control from gestational day 4 to day 21, and experiments were performed in 6-month-old adult offspring. RESULTS: Antenatal CINA exposure augmented Ang II (angiotensin II)-stimulated blood pressure response in male, but not female offspring. Moreover, CINA increased vascular NOX2 expression and superoxide production exclusively in male offspring. Inhibition of NOX2 with gp91ds-tat, both ex vivo and in vivo, mitigated the CINA-induced elevation in superoxide production and blood pressure response. Notably, CINA enhanced the expression of vascular m6A demethylase FTO (fat mass and obesity-associated protein), while reducing the total vascular m6A abundance and specific m6A methylation of the NOX2 gene. Additionally, ex vivo inhibition of FTO with FB23-2 attenuated CINA-induced increases in vascular NOX2 expression. In vitro experiments using human umbilical vein endothelial cells demonstrated that nicotine dose-dependently upregulated FTO and NOX2 protein abundance, which were reversed by treatment with the FTO inhibitor FB23-2 or FTO knockdown using siRNAs. CONCLUSIONS: This study uncovers a new mechanism: m6A demethylase FTO-mediated epigenetic upregulation of vascular NOX2 signaling in CINA-induced hypertensive phenotype. This insight could lead to a therapeutic target for preventing and treating developmental hypertension programming.

Identification of telomere-associated gene signatures to predict prognosis and drug sensitivity in glioma.

OBJECTIVE: Gliomas are a heterogeneous group of brain tumors with distinct biological and clinical properties, leading to significant mortality and morbidity. Emerging evidence shows telomere maintenance has implicated in glioma susceptibility and prognosis. In this study, we comprehensively analyzed gene signatures related to telomere maintenance in glioma and their predictive values for predicting the prognosis and drug sensitivity in glioma. METHODS: We initially identified telomere-related genes differentially expressed between low-grade glioma (LGG) and glioblastoma (GBM) and accordingly developed a risk model by univariate and multivariate Cox analysis to assess the expressions of telomere-related genes across the risk groups. Finally, to assess these genes in immune function the anti-tumor medications often used in the clinical treatment of glioma, we computed immune cell infiltration analysis and drug sensitivity analysis. RESULTS: The consensus clustering analysis identified 20 telomere-related genes which split LGG patients into two distinct subtypes. The patient survival, the expressions of key telomere-related DEGs, and immune cell infiltration significantly differed between Cluster 1 and Cluster 2. The LASSO risk model [riskScore=(0.086)*HOXA7+(0.242)*WEE1+(0.247)*IGF2BP3+(0.052)*DUSP10] showed significant differences regarding the 1-, 3-, 5-year overall survival, immune cell infiltration, and drug sensitivity between high- and low-risk groups. The predictive nomogram constructed to quantify the survival probability of each sample at 1, 3, and 5 years was consistent with the actual patient survival. CONCLUSION: Our comprehensive characterization of telomere-associated gene signatures in glioma reveals their possible roles in the development, tumor microenvironment, and prognosis. The study provides some suggestive relationships between four telomere-related genes (HOXA7, WEE1, IGF2BP3, and DUSP10) and glioma prognosis.