Tumors are complex systems characterized by variations across genetic, transcriptomic, phenotypic, and microenvironmental levels. This study introduced a novel framework for quantifying cancer cell heterogeneity using single-cell RNA sequencing data. The framework comprised several scores aimed at uncovering the complexities of key cancer traits, such as metastasis, tumor progression, and recurrence.

This study leveraged publicly available single-cell transcriptomic data from three human breast cancer subtypes: estrogen receptor-positive, human epidermal growth factor receptor 2-positive, and triple-negative. We employed a quantitative approach, analyzing copy number alterations (CNAs), entropy, transcriptomic heterogeneity, and diverse protein-protein interaction networks (PPINs) to explore critical concepts in cancer biology.

We found that entropy and PPIN activity related to the cell cycle could distinguish cell clusters with elevated mitotic activity, particularly in aggressive breast cancer subtypes. Additionally, CNA distributions varied across cancer subtypes. We also identified positive correlations between the CNA score, entropy, and the activities of PPINs associated with the cell cycle, as well as those linked to basal and mesenchymal cell lines.

This study addresses a gap in the current understanding of breast cancer heterogeneity by presenting a novel quantitative approach that offers deeper insights into tumor biology, surpassing traditional marker-based methods.

Thrombocytopenia in cirrhosis presents significant challenges in clinical practice. To help clinicians rapidly understand and standardize the diagnosis and treatment of this condition, the Liver Fibrosis, Cirrhosis, and Portal Hypertension Group under the Chinese Society of Hepatology, Chinese Medical Association, convened experts across relevant fields to formulate the Expert Consensus for the Management of Thrombocytopenia in Cirrhosis. This consensus aimed to provide evidence-based guidance for clinical diagnosis and treatment.

Microscopic colitis is a chronic inflammatory disease of the colon that describes patients who present with watery diarrhea, normal or minimal endoscopic findings, and chronic inflammation identified on colonic biopsy. As the name suggests, microscopic colitis requires histologic evaluation for diagnosis. The two most well-established histologic patterns are collagenous colitis and lymphocytic colitis. In this review, we highlighted the key histologic features of microscopic colitis on biopsy specimens, along with its endoscopic findings, pathogenesis, and underlying molecular mechanisms. We also discussed important mimickers—including amyloidosis, collagenous colitis, ischemic colitis, and radiation colitis—emphasizing their distinguishing histopathologic characteristics. Recognizing these mimickers is crucial, as their treatment strategies are significantly different.

Memory loss is a symptom of several neurological disorders, including dementia and Alzheimer’s disease (AD). It can significantly impact individuals, their loved ones, and society as a whole. Current pharmaceutical interventions have shown some improvement in individuals’ quality of life, but more needs to be done to reduce the burden of memory loss and AD. This paper investigates herbal remedies for memory loss, with a particular focus on the mechanisms underlying their effects. By consulting several South Asian printed books, numerous traditionally used medicinal plants with memory-enhancing properties were identified. A review of published studies showed that many of these plants have reported properties related to memory enhancement and the treatment of AD. Some of the relevant mechanistic actions reported for these plants include acetylcholinesterase inhibition, anti-inflammatory activity, antioxidant effects, and neuroprotective properties. There is also evidence that some plants exhibit a combination of different mechanisms, making them especially promising as therapeutic agents for memory loss. Our review shows the existence and potential of medicinal plants in addressing memory loss. Additionally, some reports provide a scientific basis for the use of these plants in conditions characterized by memory decline, such as AD. This study underscores the importance of further research to evaluate the efficacy of traditionally used medicinal plants in the management of memory loss.

Mucinous cystic neoplasms (MCNs) are rare pancreatic lesions that often go undiagnosed due to their asymptomatic nature. Though typically benign, they can harbor malignant potential, making early detection and treatment essential. This case report presents a 32-year-old female with intermittent epigastric pain, who was found to have a cystic lesion in the pancreatic tail, diagnosed as an MCN through endoscopic ultrasound and fine-needle aspiration. The patient underwent a spleen-sparing distal pancreatectomy, which was complicated by a peri-pancreatic abscess that required drainage. This case highlights the importance of distinguishing MCNs from other pancreatic cystic lesions, as misdiagnosis or delayed intervention can lead to adverse outcomes. It underscores the need for vigilant diagnostic imaging and individualized treatment strategies, particularly in young patients, to avoid unnecessary morbidity and ensure optimal outcomes. The report contributes to the growing understanding of MCNs, emphasizing early diagnosis, tailored surgical management, and the significance of postoperative care.

Cardiovascular diseases (CVDs) remain the leading cause of global morbidity and mortality, highlighting the urgent need for innovative diagnostic and prognostic approaches to address their complex pathophysiology. Recent advances in molecular cardiology have unveiled immune-derived microRNAs (miRNAs), or immuno-miRs, as pivotal regulators in the interplay between immune responses and cardiovascular pathology. Secreted by immune cells such as T lymphocytes, macrophages, and neutrophils, these small non-coding RNAs modulate critical signaling pathways by regulating gene expression. Immuno-miRs influence essential processes, including inflammation, endothelial dysfunction, and fibrotic remodeling—core mechanisms underlying conditions such as atherosclerosis, myocardial infarction, and heart failure. Moreover, their presence in systemic circulation within extracellular vesicles underscores their role in intercellular communication, impacting both immune and non-immune cardiovascular cells, such as cardiomyocytes and endothelial cells. This dual functionality renders immuno-miRs promising candidates as diagnostic biomarkers for early disease detection and as prognostic tools for assessing disease progression and therapeutic efficacy. Furthermore, emerging miRNA-based interventions—such as miRNA mimics and inhibitors—show considerable promise in modulating immune dysregulation in CVDs, although clinical translation remains a significant challenge. In this review, we comprehensively examine the regulatory roles of immuno-miRs in both innate and adaptive immune responses and explore recent advancements in miRNA-based therapies. By consolidating current knowledge and identifying existing gaps, we provide a comprehensive overview of the transformative potential of immuno-miRs in CVD management. Integrating these molecules into personalized medicine may pave the way for more effective, targeted, and minimally invasive strategies to combat one of the world’s most pressing health challenges.

Fat mass and obesity-associated protein (FTO) has been linked to various cancers, though its role in hepatocellular carcinoma (HCC) remains unclear. This study aimed to investigate FTO expression, its clinical relevance, functional role in HCC progression, and the underlying molecular mechanisms.

Quantitative reverse-transcription polymerase chain reaction and immunohistochemical analysis were used to assess FTO expression in HCC. Functional assays, including proliferation, invasion, and epithelial-mesenchymal transition studies, were conducted using HCC cell lines with FTO knockdown. N6-methyladenosine (m6A) RNA immunoprecipitation and RNA stability assays further elucidated the role of FTO in BUB1 mRNA methylation and stability. Co-immunoprecipitation studies were employed to confirm the interaction between BUB1 and TGF-βR1. In vivo studies in nude mice were conducted to evaluate tumor growth following FTO knockdown.

FTO was significantly upregulated in HCC tissues compared to normal liver tissues, with higher expression observed in advanced tumor-node-metastasis stages and metastatic HCC. Elevated FTO correlated with poor overall survival in patients. Silencing FTO decreased HCC cell proliferation, colony formation, invasion, epithelial-mesenchymal transition, and tumor growth in nude mice. Mechanistically, FTO downregulation led to increased m6A modification of BUB1 mRNA, thereby promoting its degradation via the YTH domain family 2-dependent pathway and reducing BUB1 protein levels. Additionally, BUB1 physically interacted with TGF-βR1, activating downstream TGF-β signaling.

FTO is overexpressed in HCC and is associated with poor clinical outcomes. Mechanistically, FTO promotes HCC progression by stabilizing BUB1 mRNA through an m6A-YTH domain family 2–dependent pathway, which activates TGF-β signaling. Targeting the FTO–BUB1–TGF-βR1 regulatory network may offer a promising therapeutic strategy for HCC.

Hepatocellular carcinoma (HCC) remains challenging to treat in advanced stages, primarily due to the development of resistance to sorafenib. There is an urgent need for novel therapeutic strategies to overcome this resistance. This study aimed to investigate the potential of oleanolic acid (OA), a natural hepatoprotective compound, in mitigating sorafenib resistance and elucidate its underlying molecular mechanisms.

Sorafenib-resistant Huh7 and HepG2 cell lines were established to mimic the resistant phenotype. The effects of OA on these cells were evaluated by assessing cell invasion, migration, and sensitivity to sorafenib. Gene expression analysis was conducted to identify molecular changes induced by OA treatment, with a focus on fabp3 expression.

Oleanolic acid significantly inhibited the invasive and migratory capabilities of sorafenib-resistant Huh7 and HepG2 cells (p < 0.01). Furthermore, OA treatment downregulated fabp3 expression and restored the cells’ sensitivity to sorafenib.

Oleanolic acid shows promise as an adjunct therapy for overcoming sorafenib resistance in HCC. By reducing cell aggressiveness and restoring drug sensitivity, OA may enhance the therapeutic efficacy of current treatments for advanced HCC.

This review explores the complex interplay between the microbiome and human aging, highlighting how dysbiosis impacts host physiology and health, particularly in relation to genomic stability and telomere attrition. Recent advances in cellular and molecular biology have underscored the role of both intrinsic and extrinsic factors in human aging, with the microbiome emerging as a key determinant of host physiology and health. Dysbiosis—disruptions in microbiome composition—is linked to various age-related diseases and impacts genomic stability and telomere attrition, the progressive shortening of telomeres that limits cell division and contributes to aging. This review examines how microbiome dynamics influence aging by triggering inflammation, oxidative stress, immune dysregulation, and metabolic dysfunction, all of which affect two primary hallmarks of aging: genomic instability and telomere attrition. Understanding these interactions is essential for developing targeted interventions to restore microbiome balance and promote healthy aging, offering potential treatments to extend healthspan and alleviate aging-related diseases. The convergence of microbiome and aging research promises transformative insights and new avenues for improving global population well-being.

Chronic obstructive pulmonary disease (COPD) is an irreversible inflammatory lung disease. Studies have shown that macrophages and estrogen receptors play a pivotal regulatory role in the development of COPD. Ejiao (Colla Corii Asini, CCA, or donkey-hide gelatin), a traditional Chinese medicine, has anti-inflammatory and lung function-protective effects, but its specific mechanism in COPD remains unclear. This study aimed to explore the immunomodulatory effects of Ejiao on COPD, focusing on its impact on inflammatory pathways and macrophages.

This study is the first to apply a network pharmacology approach to explore the potential mechanisms underlying Ejiao’s therapeutic effects on COPD. We collected the peptides and chemical components of Ejiao and used the STRING database to screen for COPD-related targets of Ejiao components, constructing a drug-molecular network. Additionally, we established cigarette smoke extract (CSE) and lipopolysaccharide-induced cell injury models and treated them with Ejiao-containing serum. Western blot (WB) analysis was used to detect the expression of related proteins, enabling a preliminary exploration of Ejiao’s effects and regulatory mechanisms. In further experiments, a mouse COPD model was established, and eight weeks of Ejiao intervention were conducted. We assessed lung function, pathological changes in lung tissue, monitored cytokine levels in serum and bronchoalveolar lavage fluid, performed flow cytometry to evaluate abdominal macrophage levels, and conducted WB to analyze protein expression, providing an in-depth study of Ejiao’s regulatory effects on the mouse COPD model.

The findings from the network pharmacology analysis suggest a potential regulatory role of the estrogen receptor pathway in COPD. CSE stimulation of RAW264.7 cells resulted in elevated tumor necrosis factor-α levels, decreased interleukin-10 levels, reduced expression of estrogen receptors (ERs) α and β, decreased inhibitor of NF-κB levels, and increased p-AKT levels. Following Ejiao intervention, interleukin-10, ERα+β, and inhibitor of NF-κB levels increased, while p-AKT levels decreased. Ejiao significantly improved lung function in CSE/lipopolysaccharide-induced COPD mice, reduced the number of macrophages, lowered the levels of inflammatory factors in bronchoalveolar lavage fluid, and increased estradiol levels in serum. WB results indicated that Ejiao may ameliorate lung injury in COPD by modulating the ER/AKT/NF-κB pathway.

The results suggest that Ejiao may improve lung injury and inflammation in CSE/ lipopolysaccharide-induced COPD by regulating the ER/AKT/NF-κB pathway.

Lung Squamous cell carcinoma (LSCC) represents the second most common non-small cell lung cancer. Although studies identified adenocarcinoma-like driver mutations in LSCC using next-generation sequencing (NGS), the disease is challenging to treat due to the limited number of detectable mutations for targeted drug therapy. This study aimed to evaluate the mutation profiles of LSCC detected by NGS to assess the relationships between different driver mutations and clinicopathological parameters.

NGS with a panel of 72 cancer-related genes was used to evaluate the driver mutation profiles of 41 lung resection specimens from patients with LSCC at the Molecular Pathology Laboratory of Aydın Adnan Menderes University in Türkiye. Clinical and histopathological features were recorded for analysis.

Detection of 94 mutations in 23 genes in DNA extracted from the tissue samples of 36 patients revealed that the most prevalent mutations were TP53 (30.85%), NF1 (20.20%), PTEN (11.70%), PIK3CA (5.31%), FBXW7 (4.25%), KRAS (3.20%), respectively. We identified statistically significant relationships between PIK3CA and lower mean age (p = 0.007) and between PTEN and mild inflammatory reaction (p = 0.004). PTEN was associated with central localization (p = 0.13), NF1 with visceral pleural involvement (p = 0.09), and PIK3CA with severe inflammatory reaction (p = 0.053), as well as with advanced pathological T stage (p = 0.09) and pathological N stage (p = 0.057) according to the TNM staging system.

Our study highlights the importance of assessing mutation profiles in LSCC patients to identify driver mutations as potential therapeutic targets. Certain histopathological features are associated with these mutations, serving as indicators for treatment and follow-up decisions.

Surgical management of supratentorial spontaneous intracerebral hemorrhage (sICH) remains controversial. Craniotomy (CT) reduces mortality but offers limited functional benefits. Neuroendoscopic surgery (NE) has emerged as a viable alternative, providing improved outcomes. Recent randomized controlled trials (RCTs) strengthen ongoing comparisons between these approaches. This meta-analysis systematically evaluates the efficacy and safety of NE versus CT for supratentorial sICH.

RCTs comparing NE versus CT for supratentorial sICH were systematically identified through comprehensive searches of PubMed, Embase, Cochrane Library, and Web of Science databases. Evaluated outcomes included functional outcome (favorable or unfavorable), hematoma evacuation rate, mortality, intraoperative blood loss, operation time, rebleeding, infection (including pulmonary and intracranial), and total complications. Cochrane’s Risk of Bias-2 tool was employed to assess the risk of bias across the included studies.

Eight RCTs were included, comprising 1,354 patients. NE demonstrated a significant advantage in achieving a favorable functional outcome (risk ratio: 1.43; 95% confidence interval (CI) 1.22, 1.68; p < 0.001) and a notably higher hematoma evacuation rate (mean difference (MD): 7.60; 95% CI 3.59, 11.61; p < 0.001). Additionally, NE was associated with a marked reduction in intraoperative blood loss (MD: −152.95; 95% CI −261.68, −44.22; p = 0.006) and a substantial reduction in operative time (MD: −118.49; 95% CI −147.30, −89.67; p < 0.001). The incidences of unfavorable functional outcome and total complications, including pulmonary infection, were significantly lower in the NE group. However, NE did not lead to an improvement in the mortality rate, and there were no significant differences in the incidences of postoperative rebleeding or intracranial infection between the two groups.

These findings suggest that NE offers distinct advantages in terms of functional outcomes and surgical efficiency for patients with supratentorial sICH. Future studies should involve larger, higher-quality RCTs, and neuroendoscopic techniques should be continuously optimized.

With the increasing use of artificial intelligence (AI) in diagnostics, AI algorithms have shown great potential in aiding diagnostics. As more of these algorithms are developed, there is overwhelming enthusiasm for implementing digital and artificial intelligence-based pathology (DAIP), but doubts and pitfalls are also emerging. However, few original or review articles address the limitations and practical aspects of implementing DAIP. In this review, we briefly examine the evidence related to the benefits and pitfalls of DAIP implementation and argue that DAIP is not suitable for every clinical laboratory.

We searched the PubMed database using the following keywords: “digital pathology,” “digital AI pathology,” and “AI pathology.”. Additionally, we incorporated personal experiences and manually searched related papers.

Ninety-two publications were found, of which 24 met the inclusion criteria. Many advantages of DAIP were discussed, including improved diagnostic accuracy and equity. However, several limitations of implementing DAIP exist, such as financial constraints, technical challenges, and legal/ethical concerns.

We found a generally favorable but cautious outlook for the implementation of DAIP in the pathology workflow. Many studies have reported promising outcomes in using AI for diagnosis and analysis; however, there are also several noteworthy limitations in implementing DAIP. Therefore, a balance between the benefits and pitfalls of DAIP must be thoroughly articulated and examined in light of the institution’s needs and goals before making the decision to implement DAIP. Approaches for mitigating machine learning biases were also proposed, and the adaptation and growth of the pathology profession were discussed in light of DAIP development and advances.

This review explores how the gut microbiome influences aging, particularly examining the effects of microbiome imbalances (dysbiosis) on immune system function, inflammation, and the integrity of genetic material. As we age, there is a noticeable decline in cellular and physiological capabilities, which heightens the risk of diseases and diminishes the body’s resilience to stress. A significant contributor to this decline is the change in the gut microbiome, which affects immune reactions, triggers chronic inflammation, and worsens DNA damage. The review is structured into several key areas: first, the connection between dysbiosis and age-related ailments such as rheumatoid arthritis, Crohn’s disease, and systemic lupus erythematosus; second, how aging influences immune tolerance, especially regarding dendritic cells, and its link to autoimmune diseases; third, the acceleration of immunosenescence and the prolonged inflammatory responses associated with aging; and fourth, the impact of senescent cells and oxidative stress on increasing inflammation and damaging DNA. We also underscored the significance of short-chain fatty acids produced by beneficial gut bacteria in modulating immune responses and facilitating DNA repair. The discussion includes the potential use of probiotics and other microbiome-related interventions as treatment options to promote healthy aging. Ultimately, we stressed the necessity for additional research to deepen our comprehension of the microbiome’s effect on DNA damage and to create personalized therapeutic strategies for fostering healthier aging and enhancing longevity.

Spinal cord injury (SCI) significantly impacts the central nervous system, with limited effective treatments available. Brain-derived neurotrophic factor (BDNF) plays a crucial role in neuronal growth, survival, and regeneration after SCI. MicroRNAs, particularly miR-124-3p, have been implicated in SCI pathophysiology. However, the relationship between miR-124-3p and BDNF in the context of SCI remains unclear. This study aimed to investigate the correlation between miR-124-3p expression and BDNF levels in a rat model of spinal cord injury and to assess how the timing of injury affects this relationship.

This study included 72 male Wistar rats divided into three groups: intact (n = 8), sham (n = 32), and SCI (n = 32). SCI diagnosis was confirmed through behavioral-motor function analysis using the Basso, Beattie & Brenham score and histological examination with crystal violet staining. The expression levels of miR-124-3p and BDNF were assessed using real-time polymerase chain reaction in all groups at four time points (one hour, one day, three days, and seven days post-injury).

In the SCI group, a marked reduction in miR-124-3p expression was observed relative to both the sham and intact groups. Conversely, there was a substantial elevation in BDNF expression within the SCI group in comparison to the sham and intact groups. The findings underscore a negative association between miR-124-3p expression and BDNF messenger RNA levels.

The downregulation of miR-124-3p and concurrent upregulation of BDNF suggest a potential regulatory role of miR-124-3p in modulating BDNF expression during SCI. These findings provide new insights into the molecular mechanisms underlying SCI and suggest that miR-124-3p and BDNF could serve as potential therapeutic targets. Further research is needed to explore the translational potential of these findings for developing novel diagnostic and therapeutic strategies for SCI.

FMS-like tyrosine kinase 3 (FLT3) mutations are among the most common genetic alterations in acute myeloid leukemia (AML) and play a pivotal role in leukemogenesis. The two primary mutation types, internal tandem duplications (ITDs) and tyrosine kinase domain point mutations, serve as key prognostic markers and therapeutic targets. Advances in next-generation sequencing (NGS) have revolutionized FLT3 mutation detection by providing precise insights into mutation architecture, enhancing risk stratification, and enabling personalized treatment strategies. Additionally, these advancements have facilitated molecular minimal residual disease (MRD) testing, which is instrumental in guiding post-remission management. This review summarizes the molecular characteristics, diagnostic approaches, and therapeutic implications of FLT3 mutations in hematologic malignancies.

A narrative review of the current literature on FLT3 mutations was conducted, incorporating data from original research articles, clinical trials, and recent reviews. Relevant studies were identified through a PubMed literature search and manually curated.

FLT3 mutations are detected in approximately 30% of AML cases and occur at lower frequencies in myelodysplastic syndromes, chronic myelomonocytic leukemia, acute lymphoblastic leukemia, and mixed phenotype acute leukemia. NGS enables comprehensive mutation profiling, revealing rare variants and subclonal complexity while supporting MRD detection with high analytic sensitivity. FLT3-ITD-based MRD positivity is strongly associated with relapse and poor survival in AML. Clinical trial data support FLT3 inhibitors, including midostaurin, gilteritinib, and quizartinib, in FLT3-mutated AML. Additionally, MRD-guided therapy and combination treatment strategies are promising approaches to overcoming resistance.

FLT3 mutations play a central role in the pathogenesis and treatment of AML and related malignancies. NGS-based testing and MRD monitoring transform clinical decision-making by refining risk stratification and enabling personalized therapeutic interventions. Establishing standardized testing protocols and the broader integration of FLT3-targeted therapies will be essential for optimizing patient outcomes.

Prostate cancer is the second most diagnosed cancer in men worldwide and a significant cause of cancer-related death. Proteogenomic analysis offers insights into how genomic mutations influence protein expression and can identify novel biomarkers. This study aimed to investigate the impact of missense mutations on protein abundance in prostate cancer versus healthy tissues using SILAC-based quantitative proteomics.

Mass spectrometry data from prostate tumors and adjacent healthy tissues were analyzed using stable isotope labeling. Peptides were classified based on their abundance into RefSeq and Variant Abundant groups. Missense mutations were mapped via RefSeq and dbPepVar databases. Protein intensity metrics were compared, and Spearman’s correlation was used to evaluate the relationship between mutation presence and protein abundance.

Functional enrichment revealed that RefSeq Abundant proteins are involved in normal metabolic and structural functions, while Variant Abundant proteins are enriched in tumor-related pathways such as immune evasion and apoptosis suppression. A significant negative correlation was found between protein intensity difference and ratio (p < 0.05), indicating that missense mutations contribute to altered protein expression. Mutation hotspot analysis identified recurrent alterations in genes such as PPIF and ACTB. PROVEAN was used to evaluate the functional impact of variants, identifying several as deleterious to protein stability and function.

Missense mutations are associated with altered protein abundance and may promote oncogenic processes in prostate cancer. These findings enhance the understanding of genome-proteome interactions and could support the development of targeted biomarkers and therapies.