Fluorocarbon-Functionalized Polymerization-Induced Self-Assembly Nanoparticles Alleviate Hypoxia to Enhance Sonodynamic Cancer Therapy.

Sonodynamic therapy (SDT) is an ultrasound-based, noninvasive cancer treatment that targets tumor cells by triggering reactive oxygen species production. However, the limited accumulation of sonosensitizers and the insufficient supply of O2 to the hypoxic environment at the tumor site greatly limit the effectiveness of SDT. To address these issues, positively charged porphyrin-containing nanoparticles (NPs) from self-assembling of fluorocarbon/polyethylene glycol amphiphilic block copolymer, which is synthesized through reversible addition-fragmentation chain transfer polymerization, are constructed. The NPs with fluorocarbon core and positively charged hydrophilic shells not only stabilize the sonosensitizer and improve its cellular uptake, but also act as an O2 carrier alleviating the hypoxic tumor environment. In vitro and in vivo experiments demonstrate that the NPs effectively deliver O2 to the tumor and supply sufficient O2 to Renca cells after ultrasound treatment. Consequently, the NPs inhibit hypoxia-induced resistance to SDT and significantly produce reactive oxygen species by activated porphyrin moieties, inducing apoptosis in cancer cells. These oxygen-enhanced sonosensitizer NPs hold promise for cancer therapies such as photodynamic therapy, radiotherapy, and chemotherapy by overcoming hypoxia-induced resistance.

An Injection Molded SlipChip with Self-Sampling for Integrated Point-of-Care Testing of Human Papilloma Virus.

High-risk human papillomavirus (HPV) screening is crucial for cervical cancer prevention. However, laboratory-based nucleic acid amplification tests (NAATs) require costly equipment, designated lab space, and skilled personnel. Additionally, cervical swabs collected by healthcare professionals can be inconvenient, uncomfortable, and reduce privacy, limiting broader application and patient compliance. A SlipChip-based Integrated Point-of-Care (SIPOC) system featuring an injection-molded SlipChip is presented with preloaded reagents for nucleic acid extraction and a portable four-channel real-time quantitative PCR instrument for detection. This system incorporates a self-sampling method that allows participants to collect their own vaginal swabs, with the ß-Globin gene as a control. After testing 130 participants for HPV-16 and HPV-18, 97.7% of the self-collected samples are valid. Among valid samples, 25 tested positive for HPV-16 and 9 for HPV-18. Compared to Roche's standard HPV PCR test, the SIPOC system shows 100% positive predictive value (PPV) for both HPV-16 and HPV-18 and negative predictive values (NPVs) of 99.0% and 99.1%, respectively. This system is promising for HPV screening in resource-limited settings and adaptable for other point-of-care NAAT applications, including home testing.

Cumulative risk factors for flap failure, thrombosis, and hematoma in free flap reconstruction for head and neck cancer: a retrospective nested case-control study.

BACKGROUND: Free flap construction enhances quality of life for head and neck cancer (HNC) patients; however, complications, such as thrombosis and hematoma, threaten flap survival. This study aimed to identify factors influencing flap failure, thrombosis, and hematoma. METHODS: A retrospective nested case-control study was conducted on HNC patients who underwent free flap reconstruction at a tertiary medical center between January 2019 and January 2022. All patients received antithrombotic prophylaxis consisting of prostaglandin E1, dextran, aspirin, and dipyridamole. Risk factors were analyzed using multivariate logistic regression. RESULTS: Among 548 flaps analyzed, flap failure, thrombosis, and hematoma rates were 4.74%, 3.83%, and 9.65%, respectively. Risk factors for flap failure included thrombosis (OR 86.42, 95% CI 15.73-474.89), smoking (OR 49.44, 95% CI 1.28->1000), posteromedial thigh (PMT) flap usage (OR 14.05, 95% CI 2.48-79.54), hematoma (OR 9.68, 95% CI 2.35-39.79), and younger age (OR 0.93, 95% CI 0.87-0.99). Thrombosis risk factors included PMT usage (OR 11.45, 95% CI 2.60-50.38) and anastomosis with the superior thyroid vein (SThV) as the recipient vein after multiple reconstructions (OR 7.91, 95% CI 2.06-30.39). Hematoma risk factors included fibula osteocutaneous flap usage (OR 9.22, 95% CI 2.71-31.42), double-flap usage (OR 8.88, 95% CI 1.80-43.81), liver cirrhosis (OR 6.28, 95% CI 1.44-27.47), and postsurgery hypertension (OR 2.77, 95% CI 1.39-5.50), whereas ipsilateral recurrence (OR 0.14, 95% CI 0.03-0.73) and using the external jugular vein (EJV) as the recipient vein (OR 0.22, 95% CI 0.08-0.61) were protective factors. CONCLUSION: Thrombosis poses a greater risk than hematoma for flap failure. Utilization of the PMT flap and the SThV markedly increased the risk of thrombosis and flap failure. These findings highlight the importance of antithrombotic prophylaxis and the selection of flaps and recipient veins in recurrent HNC patients.

Pulmonary function test-related prognostic models in non-small cell lung cancer patients receiving neoadjuvant chemoimmunotherapy.

Background: This study aimed to establish a comprehensive clinical prognostic risk model based on pulmonary function tests. This model was intended to guide the evaluation and predictive management of patients with resectable stage I-III non-small cell lung cancer (NSCLC) receiving neoadjuvant chemoimmunotherapy. Methods: Clinical pathological characteristics and prognostic survival data for 175 patients were collected. Univariate and multivariate Cox regression analyses, and least absolute shrinkage and selection operator (LASSO) regression analysis were employed to identify variables and construct corresponding models. These variables were integrated to develop a ridge regression model. The models' discrimination and calibration were evaluated, and the optimal model was chosen following internal validation. Comparative analyses between the risk scores or groups of the optimal model and clinical factors were conducted to explore the potential clinical application value. Results: Univariate regression analysis identified smoking, complete pathologic response (CPR), and major pathologic response (MPR) as protective factors. Conversely, T staging, D-dimer/white blood cell ratio (DWBCR), D-dimer/fibrinogen ratio (DFR), and D-dimer/minute ventilation volume actual ratio (DMVAR) emerged as risk factors. Evaluation of the models confirmed their capability to accurately predict patient prognosis, exhibiting ideal discrimination and calibration, with the ridge regression model being optimal. Survival analysis demonstrated that the disease-free survival (DFS) in the high-risk group (HRG) was significantly shorter than in the low-risk group (LRG) (P=2.57×10-13). The time-dependent receiver operating characteristic (ROC) curve indicated that the area under the curve (AUC) values at 1 year, 2 years, and 3 years were 0.74, 0.81, and 0.79, respectively. Clinical correlation analysis revealed that men with lung squamous cell carcinoma or comorbid chronic obstructive pulmonary disease (COPD) were predominantly in the LRG, suggesting a better prognosis and potentially identifying a beneficiary population for this treatment combination. Conclusion: The prognostic model developed in this study effectively predicts the prognosis of patients with NSCLC receiving neoadjuvant chemoimmunotherapy. It offers valuable predictive insights for clinicians, aiding in developing treatment plans and monitoring disease progression.

MCTP1 increases the malignancy of androgen-deprived prostate cancer cells by inducing neuroendocrine differentiation and EMT.

Neuroendocrine prostate cancer (PCa) (NEPC), an aggressive subtype that is associated with poor prognosis, may arise after androgen deprivation therapy (ADT). We investigated the molecular mechanisms by which ADT induces neuroendocrine differentiation in advanced PCa. We found that transmembrane protein 1 (MCTP1), which has putative Ca2+ sensing function and multiple Ca2+-binding C2 domains, was abundant in samples from patients with advanced PCa. MCTP1 was associated with the expression of the EMT-associated transcription factors ZBTB46, FOXA2, and HIF1A. The increased abundance of MCTP1 promoted PC3 prostate cancer cell migration and neuroendocrine differentiation and was associated with SNAI1-dependent EMT in C4-2 PCa cells after ADT. ZBTB46 interacted with FOXA2 and HIF1A and increased the abundance of MCTP1 in a hypoxia-dependent manner. MCTP1 stimulated Ca2+ signaling and AKT activation to promote EMT and neuroendocrine differentiation by increasing the SNAI1-dependent expression of EMT and neuroendocrine markers, effects that were blocked by knockdown of MCTP1. These data suggest an oncogenic role for MCTP1 in the maintenance of a rare and aggressive prostate cancer subtype through its response to Ca2+ and suggest its potential as a therapeutic target.

Binding of interleukin-1 receptor antagonist to cholinergic receptor muscarinic 4 promotes immunosuppression and neuroendocrine differentiation in prostate cancer.

The tumor microenvironment (TME) of prostate cancer (PCa) is characterized by high levels of immunosuppressive molecules, including cytokines and chemokines. This creates a hostile immune landscape that impedes effective immune responses. The interleukin-1 (IL-1) receptor antagonist (IL1RN), a key anti-inflammatory molecule, plays a significant role in suppressing IL-1-related immune and inflammatory responses. Our research investigates the oncogenic role of IL1RN in PCa, particularly its interactions with muscarinic acetylcholine receptor 4 (CHRM4), and its involvement in driving immunosuppressive pathways and M2-like macrophage polarization within the PCa TME. We demonstrate that following androgen deprivation therapy (ADT), the IL1RN-CHRM4 interaction in PCa activates the MAPK/AKT signaling pathway. This activation upregulates the transcription factors E2F1 and MYCN, stimulating IL1RN production and creating a positive feedback loop that increases CHRM4 abundance in both PCa cells and M2-like macrophages. This ADT-driven IL1RN/CHRM4 axis significantly enhances immune checkpoint markers associated with neuroendocrine differentiation and treatment-resistant outcomes. Higher serum IL1RN levels are associated with increased disease aggressiveness and M2-like macrophage markers in advanced PCa patients. Additionally, elevated IL1RN levels correlate with better clinical outcomes following immunotherapy. Clinical correlations between IL1RN and CHRM4 expression in advanced PCa patients and neuroendocrine PCa organoid models highlight their potential as therapeutic targets. Our data suggest that targeting the IL1RN/CHRM4 signaling could be a promising strategy for managing PCa progression and enhancing treatment responses.

Integrated analysis reveals critical cisplatin-resistance regulators E2F7 contributed to tumor progression and metastasis in lung adenocarcinoma.

BACKGROUND: Drug resistance poses a significant challenge in cancer treatment, particularly as a leading cause of therapy failure. Cisplatin, the primary drug for lung adenocarcinoma (LUAD) chemotherapy, shows effective treatment outcomes. However, the development of resistance against cisplatin is a major obstacle. Therefore, identifying genes resistant to cisplatin and adopting personalized treatment could significantly improve patient outcomes. METHODS: By examining transcriptome data of cisplatin-resistant LUAD cells from the GEO database, 181 genes associated with cisplatin resistance were identified. Using univariate regression analysis, random forest and multivariate regression analyses, two prognostic genes, E2F7 and FAM83A, were identified. This study developed a prognostic model utilizing E2F7 and FAM83A as key indicators. The Cell Counting Kit 8 assay, Transwell assay, and flow cytometry were used to detect the effects of E2F7 on the proliferation, migration, invasiveness and apoptosis of A549/PC9 cells. Western blotting was used to determine the effect of E2F7 on AKT/mTOR signaling pathway. RESULTS: This study has pinpointed two crucial genes associated with cisplatin resistance, E2F7 and FAM83A, and developed a comprehensive model to assist in the diagnosis, prognosis, and evaluation of relapse risk in LUAD. Analysis revealed that patients at higher risk, according to these genetic markers, had elevated levels of immune checkpoints (PD-L1 and PD-L2). The prognostic and diagnosis values of E2F7 and FAM83A were further confirmed in clinical data. Furthermore, inhibiting E2F7 in lung cancer cells markedly reduced their proliferation, migration, invasion, and increased apoptosis. In vivo experiments corroborated these findings, showing reduced tumor growth and lung metastasis upon E2F7 suppression in lung cancer models. CONCLUSION: Our study affirms the prognostic value of a model based on two DEGs, offering a reliable method for predicting the success of tumor immunotherapy in patients with LUAD. The diagnostic and predictive model based on these genes demonstrates excellent performance. In vitro, reducing E2F7 levels shows antitumor effects by blocking LUAD growth and progression. Further investigation into the molecular mechanisms has highlighted E2F7's effect on the AKT/mTOR signaling pathway, underscoring its therapeutic potential. In the era of personalized medicine, this DEG-based model promises to guide clinical practice.

Identification of a 5-Gene Cuproptosis Signature Predicting the Prognosis for Colon Adenocarcinoma Based on WGCNA.

Background: Colorectal cancer is a highly aggressive malignant tumor that primarily affects the digestive system. It is frequently diagnosed at an advanced stage. Cuproptosis is a copper-dependent form cell death mechanism, distinct from all other known pathways underlying cell death, tumor progression, prognosis, and immune response. Although the role of cuproptosis in colorectal cancer has been investigated over time, there is still an urgent need to explore new methods and insights to understand its potential function. Methods: The Gene Expression Omnibus and The Cancer Genome Atlas gene expression data were systematically explored to investigate the role of cuproptosis in colon adenocarcinoma. The weighted gene coexpression network analysis was used to construct a gene coexpression network and identify the critical module and cuproptosis-related genes correlated with colon adenocarcinoma prognosis. A cuproptosis-related genes prognostic signature for colon adenocarcinoma was identified and validated. To validate the identified gene signature, quantitative reverse transcription-polymerase chain reaction was performed. Cell proliferation assays were analyzed by CCK8 and cell cycle detection. In addition, reactive oxygen species assay was also analyzed. Results: Five hub cuproptosis-related genes (Dihydrolipoamide S-acetyltransferase, Cyclin-dependent kinase inhibitor 2A, ATOX1, VEGFA, and ULK1) were screened and a prognostic risk model for predicting overall survival was established based on these genes. The model was successfully tested in the validation cohort and the GEPIA database. Colon adenocarcinoma patients were categorized into high-risk and low-risk groups based on risk scores. The study revealed that patients with higher risk scores were more likely to have a poor prognosis. Moreover, Dihydrolipoamide S-acetyltransferase was a tumor suppressor gene that can induce cell death and affected the redox reactions in the colon cancer cell line. Conclusions: These findings suggest that the newly identified 5-gene signature may serve as a more reliable prognostic factor than clinical factors such as age and stage of disease. These findings offer a theoretical foundation for further investigation into potential cuproptosis-related biomarkers for predicting colon adenocarcinoma prognosis in the future.

A Stapled Peptide Inhibitor Targeting the Binding Interface of N6-Adenosine-Methyltransferase Subunits METTL3 and METTL14 for Cancer Therapy.

METTL3, a primary methyltransferase catalyzing the RNA N6-methyladenosine (m6A) modification, has been identified as an oncogene in several cancer types and thus nominated as a potentially effective target for therapeutic inhibition. However, current options using this strategy are limited. In this study, we targeted protein-protein interactions at the METTL3-METTL14 binding interface to inhibit complex formation and subsequent catalysis of the RNA m6A modification. Among candidate peptides, RM3 exhibited the highest anti-cancer potency, inhibiting METTL3 activity while also facilitating its proteasomal degradation. We then designed a stapled peptide inhibitor (RSM3) with enhanced peptide stability and formation of the α-helical secondary structure required for METTL3 interaction. Functional and transcriptomic analysis in vivo indicated that RSM3 induced upregulation of programmed cell death-related genes while inhibiting cancer-promoting signals. Furthermore, tumor growth was significantly suppressed while apoptosis was enhanced upon RSM3 treatment, accompanied by increased METTL3 degradation, and reduced global RNA methylation levels in two in vivo tumor models. This peptide inhibitor thus exploits a mechanism distinct from other small-molecule competitive inhibitors to inhibit oncogenic METTL3 activity. Our findings collectively highlight the potential of targeting METTL3 in cancer therapies through peptide-based inhibition of complex formation and proteolytic degradation.

FSH induces EMT in ovarian cancer via ALKBH5-regulated Snail m6A demethylation.

Background: The therapeutic benefits of targeting follicle-stimulating hormone (FSH) receptor in treatment of ovarian cancer are significant, whereas the role of FSH in ovarian cancer progresses and the underlying mechanism remains to be developed. Methods: Tissue microarray of human ovarian cancer, tumor xenograft mouse model, and in vitro cell culture were used to investigate the role of FSH in ovarian carcinogenesis. siRNA, lentivirus and inhibitors were used to trigger the inactivation of genes, and plasmids were used to increase transcription of genes. Specifically, pathological characteristic was assessed by histology and immunohistochemistry (IHC), while signaling pathway was studied using western blot, quantitative RT-PCR, and immunofluorescence. Results: Histology and IHC of human normal ovarian and tumor tissue confirmed the association between FSH and Snail in ovarian cancer metastasis. Moreover, in epithelial ovarian cancer cells and xenograft mice, FSH was showed to promote epithelial mesenchymal transition (EMT) progress and metastasis of ovarian cancer via prolonging the half-life of Snail mRNA in a N6-methyladenine methylation (m6A) dependent manner, which was mechanistically through the CREB/ALKBH5 signaling pathway. Conclusions: These findings indicated that FSH induces EMT progression and ovarian cancer metastasis via CREB/ALKBH5/Snail pathway. Thus, this study provided new insight into the therapeutic strategy of ovarian cancer patients with high level of FSH.

Association between Sjögren syndrome, sociodemographic factors, comorbid conditions, and optic neuritis: a Taiwanese population-based study.

Purpose: Our study aimed to explore the correlation between Sjögren syndrome, sociodemographic factors, comorbid conditions, and optic neuritis. Methods: This retrospective, nationwide, population-based, matched case-control investigation involved 33,190 individuals diagnosed with optic neuritis, identified using the International Classification of Diseases, Ninth Revision, Clinical Modification codes 377.30 for optic neuritis or 377.32 for retrobulbar neuritis. Patient data were extracted from the Taiwan National Health Insurance Research Database. Demographic characteristics, the presence of Sjögren syndrome, and pre-existing comorbid conditions were analyzed using univariate logistic regression. Continuous variables were assessed with a paired t-test. Adjusted logistic regression was employed to compare the prognosis odds ratio (OR) of patients with optic neuritis to controls. Results: After adjusting for confounding variables, individuals with Sjögren syndrome exhibited a significantly higher likelihood of developing optic neuritis compared to controls (adjusted OR, 9.79; 95% confidence interval [CI], 7.28-12.98; p < 0.0001). Other conditions associated with increased odds of optic neuritis included rheumatoid arthritis, ankylosing spondylitis, multiple sclerosis, systemic lupus erythematosus, and granulomatous vasculitis (adjusted OR: 1.57, 95% CI: 1.33-1.86; adjusted OR: 2.02, 95% CI: 1.65-2.48; adjusted OR: 140.77, 95% CI: 35.02-565.85; adjusted OR: 2.38, 95% CI: 1.71-3.30; adjusted OR: 18.28, 95% CI: 2.21-151.45, respectively), as well as systemic infections such as human herpes viral infection and tuberculosis infection (adjusted OR: 1.50, 95% CI: 1.35-1.66; adjusted OR: 4.60, 95% CI: 3.81-5.56, respectively). Discussion: Our findings strongly support the existence of an association between Sjögren syndrome, rheumatoid arthritis, ankylosing spondylitis, multiple sclerosis, systemic lupus erythematosus, granulomatous vasculitis, human herpes viral infection, tuberculosis, and optic neuritis.

Enhanced Detection of Novel Low-Frequency Gene Fusions via High-Yield Ligation and Multiplexed Enrichment Sequencing.

Panel-based methods are commonly employed for the analysis of novel gene fusions in precision diagnostics and new drug development in cancer. However, these methods are constrained by limitations in ligation yield and the enrichment of novel gene fusions with low variant allele frequencies. In this study, we conducted a pioneering investigation into the stability of double-stranded adapter DNA, resulting in improved ligation yield and enhanced conversion efficiency. Additionally, we implemented blocker displacement amplification, achieving a remarkable 7-fold enrichment of novel gene fusions. Leveraging the pre-enrichment achieved with this approach, we successfully applied it to Nanopore sequencing, enabling ultra-fast analysis of novel gene fusions within one hour with high sensitivity. This method offers a robust and remarkably sensitive mean of analyzing novel gene fusions, promising the discovery of pivotal biomarkers that can significantly improve cancer diagnostics and the development of new therapeutic strategies.

PET/CT in a 65-Year-Old Woman With Epstein-Barr Virus-Associated Smooth Muscle Tumor After Chemotherapy for Follicular Lymphoma.

ABSTRACT: The Epstein-Barr virus-associated smooth muscle tumor (SMT) is an uncommon neoplasm. It arises mainly in 3 immunosuppression settings: HIV-associated SMT; drug-related immunosuppression in transplant recipients; and congenital immunodeficiency disorder-associated SMT. We present 18 F-FDG PET/CT findings of an adrenal Epstein-Barr virus-associated SMT in a 65-year-old woman with a history of follicular lymphoma after chemotherapy.

Immunosuppressive role of BDNF in therapy-induced neuroendocrine prostate cancer.

Prostate stromal cells play a crucial role in the promotion of tumor growth and immune evasion in the tumor microenvironment (TME) through intricate molecular alterations in their interaction with prostate cancer (PCa) cells. While the impact of these cells on establishing an immunosuppressive response and influencing PCa aggressiveness remains incompletely understood. Our study shows that the activation of the leukemia inhibitory factor (LIF)/LIF receptor (LIFR) pathway in both prostate tumor and stromal cells, following androgen deprivation therapy (ADT), leads to the development of an immunosuppressive TME. Activation of LIF/LIFR signaling in PCa cells induces neuroendocrine differentiation (NED) and upregulates immune checkpoint expression. Inhibition of LIF/LIFR attenuates these effects, underscoring the crucial role of LIF/LIFR in linking NED to immunosuppression. Prostate stromal cells expressing LIFR contribute to NED and immunosuppressive marker abundance in PCa cells, while LIFR knockdown in prostate stromal cells reverses these effects. ADT-driven LIF/LIFR signaling induces brain-derived neurotrophic factor (BDNF) expression, which, in turn, promotes NED, aggressiveness, and immune evasion in PCa cells. Clinical analyses demonstrate elevated BDNF levels in metastatic castration-resistant PCa (CRPC) and a positive correlation with programmed death-ligand 1 (PDL1) and immunosuppressive signatures. This study shows that the crosstalk between PCa cells and prostate stromal cells enhances LIF/LIFR signaling, contributing to an immunosuppressive TME and NED in PCa cells through the upregulation of BDNF.

Simultaneous and site-specific profiling of heterogeneity and turnover in protein S-acylation by intact S-acylated peptide analysis with a cleavable bioorthogonal tag.

Protein S-acylation is an important lipid modification characteristic for heterogeneity in the acyl chain and dynamicity in the acylation/deacylation cycle. Most S-acylproteomic research has been limited by indirect identification of modified proteins/peptides without attached fatty acids, resulting in the failure to precisely characterize S-acylated sites with attached fatty acids. The study of S-acylation turnover is still limited at the protein level. Herein, aiming to site-specifically profile both the heterogeneity and the turnover of S-acylation, we first developed a site-specific strategy for intact S-acylated peptide analysis by introducing an acid cleavable bioorthogonal tag into a metabolic labelling method (ssMLCC). The cleavable bioorthogonal tag allowed for the selective enrichment and efficient MS analysis of intact S-acylated peptides so that S-acylated sites and their attached fatty acids could be directly analysed, enabling the precise mapping of S-acylated sites, as well as circumventing false positives from previous studies. Moreover, 606 S-palmitoylated (C16:0) sites of 441 proteins in HeLa cells were identified. All types of S-acylated peptides were further characterized by an open search, providing site-specific profiling of acyl chain heterogeneity, including S-myristoylation, S-palmitoylation, S-palmitoleylation, and S-oleylation. Furthermore, site-specific monitoring of S-palmitoylation turnover was achieved by coupling with pulse-chase methods, facilitating the detailed observation of the dynamic event at each site in multi-palmitoylated proteins, and 85 rapidly cycling palmitoylated sites in 79 proteins were identified. This study provided a strategy for the precise and comprehensive analysis of protein S-acylation based on intact S-acylated peptide analysis, contributing to the further understanding of its complexity and biological functions.

The Emerging Landscape for Combating Resistance Associated with Energy-Based Therapies via Nanomedicine.

Cancer represents a serious disease with significant implications for public health, imposing substantial economic burden and negative societal consequences. Compared to conventional cancer treatments, such as surgery and chemotherapy, energy-based therapies (ET) based on athermal and thermal ablation provide distinct advantages, including minimally invasive procedures and rapid postoperative recovery. Nevertheless, due to the complex pathophysiology of many solid tumors, the therapeutic effectiveness of ET is often limited. Nanotechnology offers unique opportunities by enabling facile material designs, tunable physicochemical properties, and excellent biocompatibility, thereby further augmenting the outcomes of ET. Numerous nanomaterials have demonstrated the ability to overcome intrinsic therapeutic resistance associated with ET, leading to improved antitumor responses. This comprehensive review systematically summarizes the underlying mechanisms of ET-associated resistance (ETR) and highlights representative applications of nanoplatforms used to mitigate ETR. Overall, this review emphasizes the recent advances in the field and presents a detailed account of novel nanomaterial designs in combating ETR, along with efforts aimed at facilitating their clinical translation.

Mucinous cystadenocarcinoma of the breast harbours TRPS1 expressions and PIK3CA alterations.

AIMS: Breast mucinous cystadenocarcinoma (BMCA) is a rare tumour recently recognised as a distinct entity by the World Health Organisation Tumour Classification Series. BMCA is a triple-negative tumour that lacks specific immunohistochemical markers; therefore, distinguishing it from mimickers such as ovarian and pancreatic cystadenocarcinomas requires careful clinicopathological correlation. Due to its rarity, little is known about the molecular alterations that underlie BMCA. METHODS AND RESULTS: In this study, we used immunohistochemical staining methods to investigate TRPS1 (trichorhinophalangeal syndrome type 1) expression in BMCA and compare it to expression in ovarian and pancreatic mucinous cystadenocarcinomas. We also collected tumour samples from three BMCA patients for molecular analysis by MALDI-TOF mass spectrometry, real-time polymerase chain reaction, whole exome sequencing and fluorescence in-situ hybridisation. TRPS1 immunoreactivity was found only in BMCA tumour cells and not in the ovarian and pancreatic counterparts. One of the three BMCA tumours also showed a PIK3CA hot-spot mutation, which was confirmed by whole genome next-generation sequencing (NGS). No KRAS, NRAS, BRAF or AKT mutations were found. CONCLUSIONS: To our knowledge, this is the first demonstration of TRPS1 expression in BMCA patients and the first identification of a PIK3CA hotspot mutation in these tumours. These findings provide insights into the molecular mechanisms underlying BMCA tumorigenesis and suggest a potential drug target for this rare and poorly understood cancer.

Weight growth velocity and growth outcomes in very-low-birth-weight infants developing major morbidities.

BACKGROUND: Extrauterine growth restriction (EUGR) is common in very-low-birth-weight-infants and may be associated with poor neurodevelopment. The growth velocity of preterm infants is increasing over decades, but the relationship between growth velocity, EUGR, and morbidities of preterm infants remains unknown. METHODS: A total of 263 infants born between 2012 and 2020, with birthweight <1500 g and gestational age of 24-33 weeks, were included. Birthweight and weight on day of evaluation point (corrected gestational age 36 weeks or discharged, whenever comes first) were converted to age-specific and gender-specific Z-scores and analyzed by multivariable modeling. The average growth velocity was calculated by the exponential model. RESULTS: Average growth velocity from birth to the evaluation point was 11.8 ±â€¯0.3 g/kg/day. The maximum growth velocity from birth to week 8 postnatal occurred at week 4 postnatal (16.4 ±â€¯0.9 g/kg/day). Infants with smaller birth weight, higher gestational age, and indication of intestinal surgery or those who need more days to achieve full enteral feeding were more favorable to have a weight lower than the 10th centile at the evaluation point. By contrast, most comorbidities of prematurity did not affect either lower age-specific weight Z-scores on the evaluation point or larger change in weight Z-score between birth and evaluation point. CONCLUSION: EUGR was associated with gestational age and birth weight. Infants with moderate-to-severe bronchopulmonary dysplasia, high-grade intraventricular hemorrhage, or retinopathy of prematurity tend to have slower growth velocity at 3-5 weeks postnatal, but these did not contribute to EUGR.