Protein Expression Profiles Research Articles

Combined detection of inflammatory proteins is beneficial for diagnosing the papillary thyroid carcinoma and nodular goiter

AbstractFine‐needle aspiration cytology and imaging examinations are commonly used diagnostic tools for papillary thyroid carcinoma (PTC). However, these methods have limitations. Inflammatory proteins have the potential to serve as diagnostic and prognostic markers, as well as treatment targets. The expression profile and diagnosis effect of inflammatory proteins in PTC are not well understood. Here, 18 healthy volunteers (as healthy control), 12 patients with nodular goiter, and 34 patients with PTC were collected to analyze serum inflammatory proteins by proximity extension assay. Receiver operating characteristic curve analysis was used to evaluate the diagnostic potential of differential expression of proteins via the area under the curve (AUC) analysis. A total of 36 differentially expressed inflammatory proteins were found among PTC, nodular goiter, and healthy control. The combination diagnosis derived from the logistic regression analysis exhibited promising diagnostic capabilities in distinguishing nodular goiter from healthy control (AUC = 0.88), distinguishing PTC from healthy control (AUC = 0.89), and distinguishing PTC from nodular goiter (AUC = 0.87). Whereas the combination diagnosis derived from the least absolute shrinkage and selection operator (LASSO) exhibited promising diagnostic capabilities in distinguishing nodular goiter from healthy control (AUC = 0.92), distinguishing PTC from healthy control (AUC = 0.93), and distinguishing PTC from nodular goiter (AUC = 0.93). Overall, this study offers potential biomarkers for distinguishing between PTC and nodular goiter in clinical practice. The combination derived from the LASSO algorithm outperforms logistic regression.

An overview of next generation sequencing strategies and genomics tools used for tuberculosis research.

Tuberculosis (TB) is a grave public health concern and is considered the foremost contributor to human mortality resulting from infectious disease. Due to the stringent clonality and extremely restricted genomic diversity, conventional methods prove inefficient for in-depth exploration of minor genomic variations and the evolutionary dynamics operating in Mycobacterium tuberculosis (M.tb) populations. Until now, the majority of reviews have primarily focused on delineating the application of whole-genome sequencing (WGS) in predicting antibiotic resistant genes, surveillance of drug resistance strains, and M.tb lineage classifications. Despite the growing use of next generation sequencing (NGS) and WGS analysis in TB research, there are limited studies that provide a comprehensive summary of there role in studying macroevolution, minor genetic variations, assessing mixed TB infections, and tracking transmission networks at an individual level. This highlights the need for systematic effort to fully explore the potential of WGS and its associated tools in advancing our understanding of TB epidemiology and disease transmission. We delve into the recent bioinformatics pipelines and NGS strategies that leverage various genetic features and simultaneous exploration of host-pathogen protein expression profile to decipher the genetic heterogeneity and host-pathogen interaction dynamics of the M.tb infections. This review highlights the potential benefits and limitations of NGS and bioinformatics tools and discusses their role in TB detection and epidemiology. Overall, this review could be a valuable resource for researchers and clinicians interested in NGS-based approaches in TB research.

Protein and mRNA Expression in Uveal Melanoma Cell Lines Are Related to GNA and BAP1 Mutation Status.

Cell lines are being used in preclinical uveal melanoma (UM) research. Because not all cell lines harbor typical GNAQ or GNA11 hotspot mutations, we aimed at better classifying them and determining whether we could find genetic causes to explain the protein and mRNA expression profiles of the cell lines. We studied protein and mRNA expression of 14 UM cell lines and determined the presence of single nucleotide variants and small insertions and deletions with next-generation sequencing and copy number alterations with a single nucleotide polymorphism array. The lists of differentially expressed proteins and genes were merged, and shared lists were created, keeping only terms with concordant mRNA and protein expression. Enrichment analyses were performed on the shared lists. Cell lines Mel285 and Mel290 are separate from GNA-mutated cell lines and show downregulation of melanosome-related markers. Both lack typical UM mutations but each harbors four putatively deleterious variants in CTNNB1, PPP1R10, LIMCH1, and APC in Mel285 and ARID1A, PPP1R10, SPG11, and RNF43 in Mel290. The upregulated terms in Mel285 and Mel290 did not point to a convincing alternative origin. Mel285 shows loss of chromosomes 1p, 3p, partial 3q, 6, and partial 8p, whereas Mel290 shows loss of 1p and 6. Expression in the other 12 cell lines was related to BAP1 expression. Although Mel285 and Mel290 have copy number alterations that fit UM, multi-omics analyses show that they belong to a separate group compared to the other analyzed UM cell lines. Therefore, they may not be representative models to test potential therapeutic targets for UM.

Regulator of G Protein Signaling 14 protein expression profile in the adult mouse brain.

Regulator of G protein signaling 14 (RGS14) is a multifunctional signaling protein that serves as a natural suppressor of synaptic plasticity in the mouse brain. Our previous studies showed that RGS14 is highly expressed in postsynaptic dendrites and spines of pyramidal neurons in hippocampal area CA2 of the developing mouse brain. However, our more recent work with adult rhesus macaque brain shows that RGS14 is found in multiple neuron populations throughout hippocampal area CA1 and CA2, caudate nucleus, putamen, globus pallidus, substantia nigra, and amygdala in the adult rhesus monkey brain. In the mouse brain, we also have observed RGS14 protein in discrete limbic regions linked to reward behavior and addiction, including the central amygdala and the nucleus accumbens, but a comprehensive mapping of RGS14 protein expression in the adult mouse brain is lacking. Here, we report that RGS14 is more broadly expressed in mouse brain than previously known. Intense RGS14 staining is observed in specific neuron populations of the hippocampal formation, amygdala, septum, bed nucleus of stria terminalis and ventral striatum/nucleus accumbens. RGS14 is also observed in axon fiber tracts including the dorsal fornix, fimbria, stria terminalis, and the ventrohippocampal commissure. Moderate RGS14 staining is observed in various other adjacent regions not previously reported. These findings show that RGS14 is expressed in brain regions that govern aspects of core cognitive functions such as sensory perception, emotion, memory, motivation, and execution of actions, and suggests that RGS14 may serve to suppress plasticity and filter inputs in these brain regions to set the overall tone on experience-to-action processes.

Endometrioid ovarian carcinoma landscape: pathological and molecular characterization.

Endometrioid ovarian cancers (EOvC) are usually managed as serous tumors. In this study, we conducted a comprehensive molecular investigation to uncover the distinct biological characteristics of EOvC. This retrospective multicenter study involved patients from three European centers. We collected clinical data and formalin-fixed paraffin-embedded (FFPE) samples for analysis at the DNA level using panel-based next-generation sequencing and array-comparative genomic hybridization. Additionally, we examined mRNA expression using NanoString nCounter® and protein expression through tissue microarray. We compared EOvC with other ovarian subtypes and uterine endometrioid tumors. Furthermore, we assessed the impact of molecular alterations on patient outcomes, including progression-free survival (PFS) and overall survival (OS). Preliminary analysis of clinical data from 668 patients, including 86 (12.9%) EOvC, revealed more favorable prognosis for EOvC compared with serous ovarian carcinoma (5-year OS of 60% versus 45%; P = 0.001) driven by diagnosis at an earlier stage. Immunohistochemistry and copy number alteration (CNA) profiles of 43 cases with clinical data and FFPE samples available indicated that EOvC protein expression and CNA profiles were more similar to endometrioid endometrial tumors than to serous ovarian carcinomas. EOvC exhibited specific alterations, such as lower rates of PTEN loss, mutations in DNA repair genes, and P53 abnormalities. Survival analysis showed that patients with tumors harboring loss of PTEN expression had worse outcomes (median PFS 19.6 months vs. not reached; P = 0.034). Gene expression profile analysis confirmed that EOvC differed from serous tumors. However, comparison to other rare subtypes of ovarian cancer suggested that the EOvC transcriptomic profile was close to that of ovarian clear cell carcinoma. Downregulation of genes involved in the PI3K pathway and DNA methylation was observed in EOvC. In conclusion, EOvC represents a distinct biological entity and should be regarded as such in the development of specific clinical approaches.

Proteomics and metabolomics analysis of American shad (Alosa sapidissima) liver responses to heat stress

The dramatic changes in the global climate pose a major threat to the survival of many organisms, including fish. To date, the regulatory mechanisms behind the physiological responses of fish to temperature changes have been studied, and a comprehensive analysis of the regulatory mechanisms of temperature tolerance will help to propose effective strategies for fish to cope with global warming. In this study, we investigated the expression profiles of proteins and metabolites in liver tissues of American shad (Alosa sapidissima) corresponding to different water temperatures (24 °C, 27 °C and 30 °C) at various times (1-month intervals) under natural culture conditions. Proteomic analysis showed that the expression levels of the heat shock protein family (e.g. HSPE1, HSP70, HSPA5 and HSPA.1) increase significantly with temperature and that many differentially expressed proteins were highly enriched especially in pathways related to the endoplasmic reticulum, oxidative phosphorylation and glycolysis/gluconeogenesis processes. In addition, the results of conjoint metabolomics and proteomics analysis suggested that the contents of several important amino acids and chemical compounds, including L-serine, L-isoleucine, L-cystine, choline and betaine, changed significantly under high-temperature environmental stress, affecting the metabolic levels of starch, amino acid and glucose, which is thought to represent a possible energy conservation method for A. sapidissima to cope with rapid changes in external temperature. In summary, our findings demonstrate that living under high temperatures for a long period of time leads to different physiological defense responses in A. sapidissima, which provides some new ideas for analyzing the molecular regulatory patterns of adaptation to high temperature and also provides a theoretical basis for the subsequent improvement of fish culture in response to global warming.

Poly (adenosine diphosphate-ribose) polymerase inhibitors in the treatment of triple-negative breast cancer with homologous repair deficiency.

Breast cancer (BC) is a highly heterogeneous disease, and the presence of germline breast cancer gene mutation (gBRCAm) is associated with a poor prognosis. Triple-negative breast cancer (TNBC) is a BC subtype, characterized by the absence of hormone and growth factor receptor expression, making therapeutic decisions difficult. Defects in the DNA damage response pathway due to mutation in breast cancer genes (BRCA 1/2) lead to homologous recombination deficiency (HRD). However, in HRD conditions, poly (adenosine diphosphate-ribose) polymerase (PARP) proteins repair DNA damage and lead to tumor cell survival. Biological understanding of HRD leads to the development of PARP inhibitors (PARPi), which trap PARP proteins and cause genomic instability and tumor cell lysis. HRD assessment can be an important biomarker in identifying gBRCAm patients with BC who could benefit from PARPi therapy. HRD can be identified by homologous recombination repair (HRR) gene-based assays, genomic-scarring assays and mutational signatures, transcription and protein expression profiles, and functional assays. However, gold standard methodologies that are robust and reliable to assess HRD are not available currently. Hence, there is a pressing need to develop accurate biomarkers identifying HRD tumors to guide targeted therapies such as PARPi in patients with BC. HRD assessment has shown fruitful outcomes in chemotherapy studies and preliminary evidence on PARPi intervention as monotherapy and combination therapy in HRD-stratified patients. Furthermore, ongoing trials are exploring the potential of PARPi in BC and clinically complex TNBC settings, where HRD testing is used as an adjunct to stratify patients based on BRCA mutations.

A versatile tissue-rolling technique for spatial-omics analyses of the entire murine gastrointestinal tract.

Tissues are dynamic and complex biological systems composed of specialized cell types that interact with each other for proper biological function. To comprehensively characterize and understand the cell circuitry underlying biological processes within tissues, it is crucial to preserve their spatial information. Here we report a simple mounting technique to maximize the area of the tissue to be analyzed, encompassing the whole length of the murine gastrointestinal (GI) tract, from mouth to rectum. Using this method, analysis of the whole murine GI tract can be performed in a single slide not only by means of histological staining, immunohistochemistry and in situ hybridization but also by multiplexed antibody staining and spatial transcriptomic approaches. We demonstrate the utility of our method in generating a comprehensive gene and protein expression profile of the whole GI tract by combining the versatile tissue-rolling technique with a cutting-edge transcriptomics method (Visium) and two cutting-edge proteomics methods (ChipCytometry and CODEX-PhenoCycler) in a systematic and easy-to-follow step-by-step procedure. The entire process, including tissue rolling, processing and sectioning, can be achieved within 2-3 d for all three methods. For Visium spatial transcriptomics, an additional 2 d are needed, whereas for spatial proteomics assays (ChipCytometry and CODEX-PhenoCycler), another 3-4 d might be considered. The whole process can be accomplished by researchers with skills in performing murine surgery, and standard histological and molecular biology methods.

Proteomic profiling of bronchoalveolar lavage fluid uncovers protein clusters linked to survival in idiopathic forms of interstitial lung disease

BackgroundIdiopathic interstitial pneumonias (IIPs) such as idiopathic pulmonary fibrosis (IPF) and interstitial pneumonia with autoimmune features (IPAF), present diagnostic and therapeutic challenges due to their heterogeneous nature. This study aimed to identify intrinsic molecular signatures within the lung microenvironment of these IIPs through proteomic analysis of bronchoalveolar lavage fluid (BALF).MethodsPatients with IIP (n=23) underwent comprehensive clinical evaluation including pre-treatment bronchoscopy and were compared to controls without lung disease (n=5). Proteomic profiling of BALF was conducted using label-free quantitative methods. Unsupervised cluster analyses identified protein expression profiles which were then analyzed to predict survival outcomes and investigate associated pathways.ResultsProteomic profiling successfully differentiated IIP from controls.k-means clustering, based on protein expression revealed three distinct IIP clusters, which were not associated with age, smoking history, or baseline pulmonary function. These clusters had unique survival trajectories and provided more accurate survival predictions than the Gender Age Physiology (GAP) index (C-index 0.794versus0.709). The cluster with the worst prognosis featured decreased inflammatory signaling and complement activation, with pathway analysis highlighting altered immune response pathways related to immunoglobulin production and B cell-mediated immunity.ConclusionsThe unsupervised clustering of BALF proteomics provided a novel stratification of IIP patients, with potential implications for prognostic and therapeutic targeting. The identified molecular phenotypes underscore the diversity within the IIP classification and the potential importance of personalized treatments for these conditions. Future validation in larger, multi-ethnic cohorts is essential to confirm these findings and to explore their utility in clinical decision-making for patients with IIP.

DIPG-51. DIFFUSE MIDLINE GLIOMAS HIJACK MYELOID CELL POPULATIONS TO INITIATE AN ANTI-INFLAMMATORY TUMOR IMMUNE MICROENVIRONMENT

Abstract BACKGROUND Diffuse midline gliomas (DMG) are universally fatal pediatric brain tumors, for which no effective treatment exists. These tumors are known for their “cold” non-inflammatory tumor-immune microenvironment (TIME), which is thought to be a major hurdle for immunotherapy efficacy. METHODS/RESULTS To further investigate the mechanisms that drive this cold environment, we allografted immunocompetent mice with Histone 3.3 Lysine 27 (H3.3K27M) and 3.1 Lysine 27 (H3.1K27M) mutant murine DMG tumors, created through intra uterine electroporation, and performed single-cell analyses on the tumors that developed. Using Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITEseq) we mapped the single-cell RNA and protein expression profiles of the TIME of these tumors and healthy pontine regions, with a dominant focus on the myeloid cell populations. Through differential expression and pathway enrichment analyses, we found that DMG-microglia populations upregulate anti-inflammatory pathways and, over time, are pushed out by infiltrating anti-inflammatory macrophages. We confirmed these findings in single-cell sequencing data from DMG patients, taken at diagnosis and at late stage disease. Next, we established microglia cultures in vitro, by differentiating monocytes from healthy donors into microglia. We discovered that treatment of these microglia with tumor-conditioned medium, taken from primary DMG cultures, diminished their pro-inflammatory potential after stimulation with lipopolysaccharides (LPS), as observed by cytokine release arrays that showed a strong downregulation of IL-6 and TNF-alpha release, amongst others. Subsequently, using a Seahorse metabolic analyzer, we found that glycoATP potential was diminished in DMG-primed microglia after LPS stimulation, further suggesting that DMG-excreted factors are responsible for blocking the pro-inflammatory potential of microglia. CONCLUSIONS Taken together, these findings increase our understanding on how DMG cells reprogram tumor-associated myeloid cells to generate an immune-cold TIME, which will aid the scientific community to find therapeutic solutions to reverse this phenomenon and improve the efficacy of immunotherapy in these devastating malignancies.

Polycyclic aromatic hydrocarbons stress affects fatty acids profile and LacsA (long-chain acyl-CoA synthetize) gene expression in Dunaliella

ABSTRACT This study was conducted to evaluate the effects of different concentrations of two Polycyclic Aromatic Hydrocarbons (PAHs) on the profiles of soluble proteins and fatty acids and on LacsA (long-chain acyl-CoA synthesis) gene expression in Dunaliella tertiolecta and Dunaliella salina. The algae were treated with a control and three experimental concentrations (3000, 6000 and 9000 μg l‒1) of phenanthrene and anthracene. In D. salina treated with 6000 and 9000 μg l‒1 of anthracene, expression of LacsA and α-linolenic acid was higher than in the control treatment. Also, at 3000 and 6000 μg l‒1 of anthracene, there was a sharp increase in hexadecenoic acid and docosahexaenoic acid (omega-3). Dunaliella tertiolecta treated with 9000 μg l‒1of anthracene showed a stronger protein expression profile than other samples which was consistent with LacsA gene expression at the same dose of anthracene. In D. tertiolecta, α-linolenic acid and 11-octadecenoic acid increased significantly at 9000 µg l‒1 of anthracene compared to the control, and there were similar trends in proteins, LacsA gene expression and α-linolenic acid and 11-octadecenoic fatty acids content. Phenanthrene and anthracene have different molecular structures, and it seems that they also have different dose-dependent effects on synthesis/accumulation of fatty acids, SDS-PAGE profiles of proteins and LacsA gene expression in D. salina and D. tertiolecta. According to previous reports, the LacsA gene is mediated by α-linolenic acid, hexadecenoic acid and docosahexaenoic acid (omega-3) synthesis. Since PAHs tend to be accumulated in the cell membrane of the microalgae, microalgae produce various proteins and fatty acids to bioremediate these harmful substances. Our results indicated that Dunaliella spp. may be good candidates for biodegradation purposes as well as an adequate model as a biotechnological accumulator of fatty acids under exposure to PAHs.

Decrypting the effect of sulfate stress on the cyanobacterium Anabaena sp. PCC 7120 using physiological, proteome and transcript analysis in conjunction with bioinformatics

Sulfate limitation affects growth and various metabolic processes in cyanobacteria. However, there is little understanding of the underlying mechanism of these processes. Hence, the study investigated the effects of sulfate limitation in the cyanobacterium, Anabaena sp. PCC 7120. Results showed that sulfate stress affected photopigment contents in the test cyanobacterium delineating reduced growth. Proteome profile showed that differential expression profiles of different proteins involved in the various metabolic pathways suggested sulfur-dependent pathways were altered due to sulfate limitation. The most damaging effect was observed on the proteins belonging to the photosynthesis pathway, affirming the relationship between sulfur and carbon metabolism. Expression of proteins involved in the pathways such as nitrogen, protein synthesis, chaperone category, amino acid biosynthesis, and redox-responsive proteins were down-regulated. Moreover, forty-seven hypothetical proteins were also influenced by sulfate limitation. Molecular chaperones act as a physical barrier to prevent the aggregation of housekeeping proteins. Down expression of these proteins might affect the sustainability of the other proteins. Besides, transcript levels of the selected proteins were in concordance with physiological as well as proteome data. Additionally, template-based modeling and ab initio full atomic relaxation were performed via bioinformatic analysis through different tools to gain deeper insight into the structural and functional attributes of hypothetical proteins. Based on study, it could be concluded that mostly the proteins were downregulated which may lead to PCD in the cyanobacterium and also suggested that sulfur is a central hub and crucial for various sulfur-dependent pathways.

Genetic variants and down-regulation of CACNA1H in pheochromocytoma.

Pheochromocytoma (PCC) and abdominal paraganglioma (aPGL) (together abbreviated PPGL) frequently present with an underlying genetic event in a PPGL driver gene, and additional susceptibility genes are anticipated. Here, we re-analyzed whole-exome sequencing data for PCC patients and identified two patients with rare missense variants in the calcium voltage-gated channel subunit 1H gene (CACNA1H). CACNA1H variants were also found in the clinical setting in PCC patients using targeted sequencing and from analysis of The Cancer Genome Atlas database. In total, CACNA1H variants were found in six PCC cases. Three of these were constitutional, and two are known to have functional consequences on hormone production and gene expression in primary aldosteronism and aldosterone-producing adrenocortical adenoma. In general, PPGL exhibited reduced CACNA1H mRNA expression as compared to normal adrenal. Immunohistochemistry showed strong CACNA1H (CaV3.2) staining in adrenal medulla while PPGL typically had weak or negative staining. Reduced CACNA1H gene expression was especially pronounced in PCC compared to aPGL and in PPGL with cluster 2 kinase signaling phenotype. Furthermore, CACNA1H levels correlated with HIF1A and HIF2A. Moreover, TCGA data revealed a correlation between CACNA1H methylation density and gene expression. Expression of rCacna1h in PC12 cells induced differential protein expression profiles, determined by mass spectrometry, as well as a shift in the membrane potential where maximum calcium currents were observed, as determined by electrophysiology. The findings suggest the involvement of CACNA1H/CaV3.2 in pheochromocytoma development and establish a potential link between the etiology of adrenomedullary and adrenocortical tumor development.

Leishmaniinae: Evolutionary inferences based on protein expression profiles (PhyloQuant) congruent with phylogenetic relationships among Leishmania, Endotrypanum, Porcisia, Zelonia, Crithidia, and Leptomonas.

Evolutionary relationships among parasites of the subfamily Leishmaniinae, which comprises pathogen agents of leishmaniasis, were inferred based on differential protein expression profiles from mass spectrometry-based quantitative data using the PhyloQuant method. Evolutionary distances following identification and quantification of protein and peptide abundances using Proteome Discoverer and MaxQuant software were estimated for 11 species from six Leishmaniinae genera. Results clustered all dixenous species of the genus Leishmania, subgenera L. (Leishmania), L. (Viannia), and L. (Mundinia), sister to the dixenous species of genera Endotrypanum and Porcisia. Placed basal to the assemblage formed by all these parasites were the species of genera Zelonia, Crithidia, and Leptomonas, so far described as monoxenous of insects although eventually reported from humans. Inferences based on protein expression profiles were congruent with currently established phylogeny using DNA sequences. Our results reinforce PhyloQuant as a valuable approach to infer evolutionary relationships within Leishmaniinae, which is comprised of very tightly related trypanosomatids that are just beginning to be phylogenetically unraveled. In addition to evolutionary history, mapping of species-specific protein expression is paramount to understand differences in infection processes, tissue tropisms, potential to jump from insects to vertebrates including humans, and targets for species-specific diagnostic and drug development.

Protein Engineering of Vip3A in a Selected Bacillus thuringiensis Host for Consistent High Protein Production.

This study aimed to obtain reliable high Vip3A production from Bacillus thuringiensis (Bt) by modifying Vip3A to acquire higher thermostability in a suitable host. Bt117 is a great host for Vip3A production due to protein production consistency, low protease activity in culture media, and large amounts of mostly full-length protein, but it produces Vip3A with lower thermostability (Vip3Aa35). The C-terminal region of Bt117 Vip3A was replaced with that of a Vip3A with higher thermostability (Vip3Aa64 from Bt294) to generate the recombinant Bt117-Vip3Aa64-C. Like the parental strain Bt117, this strain expressed mostly full-length protein and exhibited low protease activity and similar protein expression profiles in culture media but retained greater larvicidal activity upon 37°C storage like Bt294 Vip3Aa64. Importantly, every culture batch of Bt117-Vip3Aa64-C yielded over 200mg/l Vip3A, which is a notable improvement over the original Vip3Aa64-producing strain Bt294 where 45% of culture batches failed to produce Vip3A at the same level. Successfully, we combined the superior qualities of two Bt strains, Bt294, which produces thermostable Vip3A but at low and inconsistent levels, and Bt117, which produces Vip3A with low thermostability but at consistently high levels. Protein engineering of Vip3A in Bt117 ultimately yielded an improved strain producing a thermostable Vip3A with reliably high protein production.

Associations between radiomic phenotypes and genomic mechanisms in HBV-associated cholangiocarcinoma.

e16249 Background: Despite the epidemiological association between cholangiocarcinoma (CCA) and HBV infection, little is known about the relevant oncogenic biomarkers for advancing cancer research and improving future patient therapy. Radiomics-based non-invasive biomarkers are promising to facilitate the translation of therapeutically related molecular subtypes for treatment allocation of patients with HBV-infected CCA. Methods: In this study, we included 55 CCA patients with whole-genome multi-omics data, proteomic data with matched magnetic resonance imaging (MRI) data from institute 1. A total of 431 patients with histopathological confirmed CCA (143 HBV-positive and 288 HBV-negative patients) were retrospectively enrolled from three institutes, and patients were allocated to the training (n = 302) and validation (n = 129) cohorts from different institutes or time period (7:3). Utilizing linear regression and gene set enrichment analysis, we identified statistically significant associations between radiomic imaging and various genomic features in HBV-positive or HBV-negative CCA patients. Additionally, we employed a random forest classifier based on radiomic features to predict the status of HBV infection, HBV-related gene mutations and protein expression profiling, and tested on an internal and an external CCA cohort (n = 53). Results: The analysis revealed significant and widespread associations between genomic features (somatic mutations, transcriptional activities and copy number variations) and radiomic features characterizing HBV infection status. Our results show that quantitative image features are capable of distinguishing several molecular phenotypes. We obtained significant predictive performance for HBV+ (AUC = 0.73), CA-199(AUC = 0.77) and NeuroInvasion (AUC = 0.71), activation of ESRP1(AUC = 0.79) and mutation of HNRNPUL2/MUC4 (AUC = 0.73). We externally validated the HBV prediction model (AUC = 0.76) on the internal and external cohort. The sensitivity, specificity, and accuracy were all > 70%. The radiomic signature succeeded to stratify patients into distinct survival outcomes according to HBV status, and remained an independent prognostic factor in multivariable analysis (DFS, P < 0.0001; OS, P = 0.029). Integrating the radiomic signature with clinicopathological-radiographic factors further improved prediction performance. A nomogram incorporating significant pathological predictors (HBV, CA-125, CA-199, Neuro invasion, peritoneal invasion, pT stage, pN stage, and differentiation, grade) and radiomics signatures displayed good prediction performance in estimating OS with AUC values of 0.895, 0.935, and 0.907 at 1, 3, and 5 years, respectively. Conclusions: This deep learning-driven combined radiomics model may provide as a useful tool to preoperatively predict HBV infection and improve therapeutic management of ICC patients.

HEPPAR1 and PIWIL2 as Panel Markers for Hepatocellular Carcinoma.

The aim of this study was to evaluate the expression profiles of PIWI-like protein- 2 (PIWIL2), and HepPar1 and their immunohistochemical (IHC) characteristics in Hepatocellular Carcinoma (HCC), and determine their correlation with clinicopathological parameters of this type of cancer to determine their diagnostic value in combination. Seventy-five patients with HCC were assessed for the expression of PIWIL2 in serum and tissue using real-time polymerase chain reaction (RT-PCR) and IHC was performed for PIWIL2 and HepPar1 was performed on all patients. A statistically significantly higher level of PIWIL2 was found in HCC compared to controls (p≤0.001). Both HepPar1 and PIWIL2 were detected in 84% of HCC cases, the diagnostic and prognostic factors for PIWIL2 were found to be significant in liver tumour tissue samples and non-tumorous sections p<0.001, and the same was observed for serum samples and results of healthy serum controls (p<0.001) when compared to AFP. Our results affirm the hypothesis that reactivation of PIWI expression in various caner types is crucial for cancer development, and that a possible panel maybe used for these markers HCC diagnosis.

Overcoming chemoresistance in triple-negative breast cancer (TNBC): Targeting PD-L1 stability and ferroptosis through integrated lipid metabolism and immune modulation.

e15149 Background: Triple-negative breast cancer (TNBC) is notorious for its aggressive nature and high recurrence rates, exacerbated by the lack of specific molecular targets, leading to poor prognosis and emergent chemoresistance. Our study explores ferroptosis mechanisms in TNBC, focusing on the interaction between lipid metabolism and immune system modulation to identify targets that enhance chemosensitivity, potentially improving chemotherapy efficacy. Methods: We employed RNA transcriptomics, proteomics, metabolomics, and lipidomics to compare gene transcription, protein expression, and metabolic profiles between TNBC cell lines MDA-MB-231/ADR (doxorubicin-resistant) and MDA-MB-231/S (sensitive). The impact of the ferroptosis inducer Erastin on MDA-MB-231/ADR was assessed through lipidomics. We also performed gene expression profiling on 152 TNBC patients unresponsive to Anthracycline-based chemotherapy, correlating with data from TCGA and METABRIC. Functional loss and gain experiments were undertaken to explicate the role of the SCD1-TRIM28-PD-L1 axis in mediating ADR resistance. Immunohistochemistry and RT-qPCR analyses were performed on tumor tissues and serum EVs from TNBC patients to identify chemosensitivity-enhancing targets. Results: Our investigation revealed marked transcriptional and proteomic variances between MDA-MB-231/ADR and MDA-MB-231/S cell lines, with SCD1 showing significant upregulation at both mRNA and protein levels. Metabolomic analyses revealed distinct lipid metabolic profiles between these two cell lines. Further studies found that Erastin treatment increased PD-L1 expression, along with changes in SCD1, p53, and TNFAIP3 expression levels. These molecules are closely associated with poor prognosis and resistance to therapy. Our findings also elucidated that TRIM28 modulates PD-L1 stability via SUMOylation and facilitates p53 ubiquitination and degradation through a TRIM28-MDM2 dependent pathway, thereby impacting immune surveillance and therapeutic response. Additionally, in TNBC patients treated with anthracycline-based chemotherapy, higher SCD1 and TNFAIP3 but lower TRIM28 expressions were observed in the PD/SD group compared to PR/CR. Similar expression patterns were observed in serum EVs. Conclusions: Our study highlights the potential of targeting the SCD1-TRIM28-PD-L1 axis in TNBC to overcome chemoresistance. We propose combining SCD1 inhibition with ferroptosis inducers to enhance PD-L1 blockade efficacy, offering a promising approach for TNBC patients with limited response to Anthracycline-based chemotherapy. This investigation represents a pivotal step towards advancing targeted therapeutics in TNBC, potentially transforming the clinical management of this aggressive and refractory breast cancer subtype.

Differential protein expression and metabolite profiling in glaucoma: Insights from a multi-omics analysis.

Various substances within the aqueous humor (AH) can directly or indirectly impact intraocular tissues associated with intraocular pressure (IOP), a critical factor in glaucoma development. This study aims to investigate individual changes in these AH substances and the interactions among altered components through a multi-omics approach. LC/MS analysis was conducted on AH samples from patients with exfoliation syndrome (XFS, n = 5), exfoliation glaucoma (XFG, n = 4), primary open-angle glaucoma (POAG, n = 11), and cataracts (control group, n = 7). Subsequently, differentially expressed proteins and metabolites among groups, alterations in their network interactions, and their biological functions were examined. Both data-independent acquisition and data-dependent acquisition methods were employed to analyze the AH proteome and metabolome, and the results were integrated for a comprehensive analysis. In the proteomics analysis, proteins upregulated in both the XFG and POAG groups were associated with lipid metabolism, complement activation, and extracellular matrix regulation. Metabolomic analysis highlighted significant changes in amino acids related to antioxidant processes in the glaucoma groups. Notably, VTN, APOA1, C6, and L-phenylalanine exhibited significant alterations in the glaucoma groups. Integration of individual omics analyses demonstrated that substances associated with inflammation and lipid metabolism, altered in the glaucoma groups, showed robust interactions within a complex network involving PLG, APOA1, and L-phenylalanine or C3, APOD, and L-valine. These findings offer valuable insights into the molecular mechanisms governing IOP regulation and may contribute to the development of new biomarkers for managing glaucoma.

Proteomic profiling of bronchoalveolar lavage fluid uncovers protein clusters linked to survival in idiopathic forms of interstitial lung disease.

Idiopathic interstitial pneumonias (IIPs) such as idiopathic pulmonary fibrosis (IPF) and interstitial pneumonia with autoimmune features (IPAF), present diagnostic and therapeutic challenges due to their heterogeneous nature. This study aimed to identify intrinsic molecular signatures within the lung microenvironment of these IIPs through proteomic analysis of bronchoalveolar lavage fluid (BALF). Patients with IIP (n=23) underwent comprehensive clinical evaluation including pre-treatment bronchoscopy and were compared to controls without lung disease (n=5). Proteomic profiling of BALF was conducted using label-free quantitative methods. Unsupervised cluster analyses identified protein expression profiles which were then analyzed to predict survival outcomes and investigate associated pathways. Proteomic profiling successfully differentiated IIP from controls. k-means clustering, based on protein expression revealed three distinct IIP clusters, which were not associated with age, smoking history, or baseline pulmonary function. These clusters had unique survival trajectories and provided more accurate survival predictions than the Gender Age Physiology (GAP) index (C-index 0.794 vs. 0.709). The cluster with the worst prognosis featured decreased inflammatory signaling and complement activation, with pathway analysis highlighting altered immune response pathways related to immunoglobulin production and B cell-mediated immunity. The unsupervised clustering of BALF proteomics provided a novel stratification of IIP patients, with potential implications for prognostic and therapeutic targeting. The identified molecular phenotypes underscore the diversity within the IIP classification and the potential importance of personalized treatments for these conditions. Future validation in larger, multi-ethnic cohorts is essential to confirm these findings and to explore their utility in clinical decision-making for patients with IIP.