L3-SMI as a predictor of overall survival in oesophageal cancer patients receiving PD-1 inhibitors combined with chemotherapy

BACKGROUND

Programmed death ligand-1 (PD-1), as an immunotherapy target, has been increasingly used in tumour therapies. But as reactions and outcomes to PD-1 inhibitors combined with chemotherapy vary individually, it is primarily important to identify an ideal indicator for predicting the therapeutic effectiveness in individual patients. Oesophageal cancer (EC) patients often have difficulty eating due to tumour blockage of the oesophagus, leading to malnutrition and muscle loss. Sarcopenia is one of the influencing factors for poor prognosis in tumour patients, but its role in PD-1 inhibitors combined with chemotherapy of EC patients is not fully clarified. In this study, we aimed to explore the prognostic significance of Sarcopenia measured by CT in EC patients treated with PD-1 antibody combined with chemotherapy.

METHODS

The third lumbar skeletal muscle mass index (L3-SMI) was obtained from 83 EC patients before and 3 months after administration of PD-1 inhibitors combined with chemotherapy using conventional CT scans.

RESULTS

Baseline L3-SMI and 3-month L3-SMI values were found not suitable for predicting the overall survival (OS) of EC patients (p = 0.32 & p = 0.055). Longitudinal change in L3-SMI (ΔL3-SMI) during PD-1 inhibitors combined with chemotherapy was identified as a relevant marker of OS in univariable analysis (HR: 0.98, 95% CI: 0.96-1.00, p = 0.042) and multivariable analysis (HR: 0.96, 95% CI: 0.93-0.99, p = 0.02). L3-SMI-positive patients generally had better OS (p = 0.041).

CONCLUSION

Excessive muscle loss rather than muscle loss before and after administration of PD-1 inhibitors combined with chemotherapy is an important prognostic factor for therapeutic outcomes and OS in EC patients.

Interactive effect of sleep duration and trouble sleeping on frailty in chronic kidney disease: findings from NHANES, 2005-2018

BACKGROUND

Both sleep disorders and chronic kidney disease (CKD) are recognized as significant public health concerns. In the general population, sleep disorders have been shown to be associated with frailty in the elderly. This study aims to evaluate the association between sleep duration and trouble sleeping with frailty in CKD patients, as well as the potential interactive effect between these two factors.

METHODS

This cross-sectional study analyzed data from the National Health and Nutrition Examination Survey (NHANES) spanning 2005-2018. Sleep duration and trouble sleeping was self-reported. Frailty was assessed using a 49-item frailty index. The associations between sleep duration, trouble sleeping, and frailty were analyzed using weighted multivariate logistic regression and restricted cubic splines. Subgroup analysis was conducted to determine the consistency of the study's conclusions across various subgroups.

RESULTS

A total of 5,211 adult CKD patients were included in this analysis. Regression analysis results indicated that short sleep duration (OR = 1.364, 95% CI: 1.152-1.616), long sleep duration (OR = 1.648, 95% CI: 1.259-2.157), and trouble sleeping (OR = 2.572, 95% CI: 2.102-3.147) were significantly associated with an increased risk of frailty in CKD patients, with an interaction between sleep duration and trouble sleeping. Subgroup analysis revealed that the effects of trouble sleeping and sleep duration on frailty symptoms in CKD patients exhibit significant variation across age groups (p < 0.05 for interaction), with no notable differences observed in other subgroups. RCS results demonstrated a U-shaped relationship between frailty and sleep duration, with the lowest risk of frailty at 7.12 h of sleep.

CONCLUSION

Our findings indicated that both sleep duration and trouble sleeping were significantly associated with frailty in CKD patients, with a notable interaction between these two factors. Therefore, prevention and intervention strategies for frailty in CKD patients should address multiple aspects of sleep health.

Frailty transitions and risk of chronic kidney disease: insights from the China Health and Retirement Longitudinal Study

BACKGROUND

Frailty is increasingly recognized as a critical factor in the risk of chronic kidney disease (CKD), and it is also a condition that can undergo transitions. However, the relationship between frailty transitions and CKD risk in aging populations remains underexplored. This study aims to investigate the association between frailty transitions and CKD risk in middle-aged and older adults using data from the China Health and Retirement Longitudinal Study.

METHODS

Frailty was assessed using a 40-item Frailty Index (FI), with participants categorized into three groups: robust (FI ≤ 0.10), pre-frail (0.10 < FI ≤ 0.21), and frail (FI > 0.21). Frailty transitions were tracked between the first and second waves of the study. Data on CKD incidence were obtained from self-reported physician-diagnosed kidney disease. Cox proportional hazards models were employed to evaluate the risk of CKD, with adjustments made for potential confounders.

RESULTS

Among 12,050 participants (52.60% female, mean age 58.37), those who progressed to frailty or pre-frailty had an increased risk of CKD compared with stable participants (HR 1.74, p < 0.001). In contrast, individuals who recovered from frailty to robust or pre-frail status had a reduced CKD risk (HR 0.71, p = 0.023). The results of the sensitivity analysis, which showed consistent findings, support the reliability of the results.

CONCLUSION

Frailty transitions are significantly associated with the risk of CKD. Worsening frailty is linked to an increased risk of CKD, while improvement in frailty is associated with a lower risk of CKD.

Biological and translational attributes of mitochondrial DNA copy number: Laboratory perspective to clinical relevance

The mitochondrial DNA copy number (mtDNAcn) plays a vital role in cellular energy metabolism and mitochondrial health. As mitochondria are responsible for adenosine triphosphate production through oxidative phosphorylation, maintaining an appropriate mtDNAcn level is vital for the overall cellular function. Alterations in mtDNAcn have been linked to various diseases, including neurodegenerative disorders, metabolic conditions, and cancers, making it an important biomarker for understanding the disease pathogenesis. The accurate estimation of mtDNAcn is essential for clinical applications. Quantitative polymerase chain reaction and next-generation sequencing are commonly employed techniques with distinct advantages and limitations. Clinically, mtDNAcn serves as a valuable indicator for early diagnosis, disease progression, and treatment response. For instance, in oncology, elevated mtDNAcn levels in blood samples are associated with tumor aggressiveness and can aid in monitoring treatment efficacy. In neurodegenerative diseases such as Alzheimer’s and Parkinson’s, altered mtDNAcn patterns provide insights into disease mechanisms and progression. Understanding and estimating mtDNAcn are critical for advancing diagnostic and therapeutic strategies in various medical fields. As research continues to uncover the implications of mtDNAcn alterations, its potential as a clinical biomarker is likely to expand, thereby enhancing our ability to diagnose and manage complex diseases.

Acquired sensorineural hearing loss, oxidative stress, and microRNAs

Hearing loss is the third leading cause of human disability. Age-related hearing loss, one type of acquired sensorineural hearing loss, is largely responsible for this escalating global health burden. Noise-induced, ototoxic, and idiopathic sudden sensorineural are other less common types of acquired hearing loss. The etiology of these conditions is complex and multi-factorial involving an interplay of genetic and environmental factors. Oxidative stress has recently been proposed as a likely linking cause in most types of acquired sensorineural hearing loss. Short non-coding RNA sequences known as microRNAs (miRNAs) have increasingly been shown to play a role in cellular hypoxia and oxidative stress responses including promoting an apoptotic response. Sensory hair cell death is a central histopathological finding in sensorineural hearing loss. As these cells do not regenerate in humans, it underlies the irreversibility of human age-related hearing loss. Ovid EMBASE, Ovid MEDLINE, Web of Science Core Collection, and ClinicalTrials.gov databases over the period August 1, 2018 to July 31, 2023 were searched with "hearing loss," "hypoxamiRs," "hypoxia," "microRNAs," "ischemia," and "oxidative stress" text words for English language primary study publications or registered clinical trials. Registered clinical trials known to the senior author were also assessed. A total of 222 studies were thus identified. After excluding duplicates, editorials, retractions, secondary research studies, and non-English language articles, 39 primary studies and clinical trials underwent full-text screening. This resulted in 11 animal, in vitro , and/or human subject journal articles and 8 registered clinical trial database entries which form the basis of this narrative review. MiRNAs miR-34a and miR-29b levels increase with age in mice. These miRNAs were demonstrated in human neuroblastoma and murine cochlear cell lines to target Sirtuin 1/peroxisome proliferator-activated receptor gamma coactivator-1-alpha (SIRT1/PGC-1α), SIRT1/p53, and SIRT1/hypoxia-inducible factor 1-alpha signaling pathways resulting in increased apoptosis. Furthermore, hypoxia and oxidative stress had a similar adverse apoptotic effect, which was inhibited by resveratrol and a myocardial inhibitor-associated transcript, a miR-29b competing endogenous mRNA. Gentamicin reduced miR-182-5p levels and increased cochlear oxidative stress and cell death in mice - an effect that was corrected by inner ear stem cell-derived exosomes. There is ongoing work seeking to determine if these findings can be effectively translated to humans.

Tumor immune microenvironment in pancreatic ductal adenocarcinoma revisited - Exploring the "Space"

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most deadly malignancies with a highly immunosuppressive tumor immune microenvironment (TIME) that hinders effective therapy. PDAC is characterized by significant heterogeneity in immune cell composition, spatial distribution and activation states, which impacts tumor progression and treatment response. Tumour-infiltrating lymphocytes (TILs), including CD4+ T-helper cells, CD8+ cytotoxic T-cells and FOXP3+ regulatory T-cells, play a key role in immune regulation, yet PDAC is largely an immunologically "cold" tumour with limited effector T-cell infiltration. The surrounding cellular microenvironment, particularly Cancer Associated Fibroblasts (CAFs) and macrophages, contributes to immune evasion by promoting a fibrotic and desmoplastic barrier that limits TIL infiltration. The prognostic significance of TILs is increasingly recognized, with higher densities correlating with improved survival, whereas regulatory T-cell infiltration and immunosuppressive stromal interactions are associated with poor outcomes. Emerging therapeutic strategies targeting the TIME (e.g., CAFs), immune checkpoint inhibitors, and TIL-based therapies offer the potential to overcome resistance. Future research must focus on optimizing immunotherapy strategies and unravelling the complex stromal-immune interactions to improve clinical translation.

From classical approaches to artificial intelligence, old and new tools for PDAC risk stratification and prediction

Pancreatic ductal adenocarcinoma (PDAC) is recognized as one of the most lethal malignancies, characterized by late-stage diagnosis and limited therapeutic options. Risk stratification has traditionally been performed using epidemiological studies and genetic analyses, through which key risk factors, including smoking, diabetes, chronic pancreatitis, and inherited predispositions, have been identified. However, the multifactorial nature of PDAC has often been insufficiently addressed by these methods, leading to limited precision in individualized risk assessments. Advances in artificial intelligence (AI) have been proposed as a transformative approach, allowing the integration of diverse datasets-spanning genetic, clinical, lifestyle, and imaging data into dynamic models capable of uncovering novel interactions and risk profiles. In this review, the evolution of PDAC risk stratification is explored, with classical epidemiological frameworks compared to AI-driven methodologies. Genetic insights, including genome-wide association studies and polygenic risk scores, are discussed, alongside AI models such as machine learning, radiomics, and deep learning. Strengths and limitations of these approaches are evaluated, with challenges in clinical translation, such as data scarcity, model interpretability, and external validation, addressed. Finally, future directions are proposed for combining classical and AI-driven methodologies to develop scalable, personalized predictive tools for PDAC, with the goal of improving early detection and patient outcomes.

Enhancing PD-1 blockade in NSCLC: Reprogramming tumor immune microenvironment with albumin-bound statins targeting lipid rafts and mitochondrial respiration

Non-small cell lung cancer (NSCLC) has shown limited response to immunotherapy, primarily due to an immunosuppressive tumor microenvironment characterized by hypoxia and lipid raft formation, which together inhibit T-cell infiltration and function, impeding effective immune responses. To address these challenges, we developed Abstatin, an albumin-bound fluvastatin formulation that targets lipid raft disruption and mitochondrial respiration inhibition, aiming to reduce hypoxia and destabilize lipid rafts to enhance T-cell activity within the tumor. Using bioinformatics analysis, in vitro assays, and in vivo studies in both murine and humanized PDX models, we demonstrated that Abstatin reprograms the NSCLC microenvironment by concurrently lowering hypoxia levels and lipid raft integrity, thereby restoring T-cell infiltration, enhancing cytotoxic T-cell function, and ultimately improving response to Anti-PD-1 therapy. Results showed that Abstatin significantly amplifies Anti-PD-1 efficacy with minimal toxicity, indicating a favorable safety profile for clinical use. This study highlights Abstatin as a promising immunotherapy adjuvant that addresses critical barriers in NSCLC by modulating metabolic pathways linked to immune resistance. Abstatin's approach, which combines modulation of cellular metabolism with immune sensitization, broadens the potential of immunotherapy and provides a practical, scalable strategy to enhance treatment outcomes in NSCLC and potentially other tumors, offering insights into combinatory cancer therapies.

Association between frailty and the progression trajectories of stroke and dementia comorbidity: insights from observational and genetic analyses

BACKGROUND

The relationship between frailty and the progression trajectories of stroke-dementia comorbidity remains inconclusive. This study aimed to determine whether there are associations between frailty and the progression trajectories of stroke-dementia comorbidity, including the transitions from enrollment to incident stroke/dementia, progression to stroke-dementia comorbidity, and ultimately to mortality.

METHODS

This prospective study was conducted based on the UK Biobank cohort. Frailty was assessed using the frailty index (FI) and categorized as robust (FI ≤ 0.10), prefrail (0.10 < FI ≤ 0.25), or frail (FI > 0.25). We used multi-state models and one-sample Mendelian randomization (MR) to investigate the relationships between frailty and the progression trajectories of stroke-dementia comorbidity. Population attributable fraction (PAF) analyses were conducted to assess the attributable risks of frailty and its components.

RESULTS

The final analysis included 459,924 participants. In comparison to the robust, the frail group significantly elevated the risk of transitioning from enrollment to stroke [HR(95 %CI): 2.32(2.19-2.45)], from enrollment to dementia [2.56(2.31-2.83)], from enrollment to mortality [2.32(2.23-2.42)], from stroke to stroke-dementia comorbidity [1.59(1.23-2.05)], from dementia to stroke-dementia comorbidity [1.79(1.29-2.48)], and from stroke to mortality [1.25(1.11-1.40)]. MR analyses revealed that genetically predicted FI was causally associated with higher risks of stroke-dementia comorbidity. PAF analyses indicated that hypertension, diabetes, lung disease, and visual impairment were significant contributors to the risk of progression to stroke-dementia comorbidity.

CONCLUSION

Our findings revealed that frailty status increases the risk of post-stroke dementia, offering important insights for the clinical management and public health strategies.

The landscape of malignant transition: Unraveling cancer cell-of-origin and heterogeneous tissue microenvironment

Understanding disease progression and sophisticated tumor ecosystems is imperative for investigating tumorigenesis mechanisms and developing novel prevention strategies. Here, we dissected heterogeneous microenvironments during malignant transitions by leveraging data from 1396 samples spanning 13 major tissues. Within transitional stem-like subpopulations highly enriched in precancers and cancers, we identified 30 recurring cellular states strongly linked to malignancy, including hypoxia and epithelial senescence, revealing a high degree of plasticity in epithelial stem cells. By characterizing dynamics in stem-cell crosstalk with the microenvironment along the pseudotime axis, we found differential roles of ANXA1 at different stages of tumor development. In precancerous stages, reduced ANXA1 levels promoted monocyte differentiation toward M1 macrophages and inflammatory responses, whereas during malignant progression, upregulated ANXA1 fostered M2 macrophage polarization and cancer-associated fibroblast transformation by increasing TGF-β production. Our spatiotemporal analysis further provided insights into mechanisms responsible for immunosuppression and a potential target to control evolution of precancer and mitigate the risk for cancer development.

The Warburg effect: The hacked mitochondrial-nuclear communication in cancer

Mitochondrial-nuclear communication is vital for maintaining cellular homeostasis. This communication begins with mitochondria sensing environmental cues and transmitting signals to the nucleus through the retrograde cascade, involving metabolic signals such as substrates for epigenetic modifications, ATP and AMP levels, calcium flux, etc. These signals inform the nucleus about the cell's metabolic state, remodel epigenome and regulate gene expression, and modulate mitochondrial function and dynamics through the anterograde feedback cascade to control cell fate and physiology. Disruption of this communication can lead to cellular dysfunction and disease progression, particularly in cancer. The Warburg effect is the metabolic hallmark of cancer, characterized by disruption of mitochondrial respiration and increased lactate generation from glycolysis. This metabolic reprogramming rewires retrograde signaling, leading to epigenetic changes and dedifferentiation, further reprogramming mitochondrial function and promoting carcinogenesis. Understanding these processes and their link to tumorigenesis is crucial for uncovering tumorigenesis mechanisms. Therapeutic strategies targeting these disrupted pathways, including metabolic and epigenetic components, provide promising avenues for cancer treatment.

Pancreatic neuroendocrine neoplasms (pNENs): Genetic and environmental biomarkers for risk of occurrence and prognosis

Pancreatic neuroendocrine neoplasms (pNENs) are rare and heterogeneous tumors arising from neuroendocrine cells, representing approximately 10 % of all Gastro-Entero-Pancreatic neuroendocrine neoplasms. While most pNENs are sporadic, a subset is associated with genetic syndromes such as multiple endocrine neoplasia type 1 (MEN1) or von Hippel-Lindau disease (VHL). pNENs are further classified into functioning and non-functioning tumors, with distinct clinical behaviors, prognoses, and treatment approaches. This review explores genetic and environmental biomarkers that influence the risk, prognosis, and therapeutic responses in pNENs. The epidemiology of pNENs reveals an increasing incidence, primarily due to advancements in imaging techniques. Genetic factors play a pivotal role, with germline mutations in MEN1, VHL, and other genes contributing to familial pNENs. Somatic mutations, including alterations in the mTOR pathway and DNA maintenance genes such as DAXX and ATRX, are critical in sporadic pNENs. These mutations, along with epigenetic dysregulation and transcriptomic alterations, underpin the diverse clinical and molecular phenotypes of pNENs. Emerging evidence suggests that epigenetic changes, including DNA methylation profiles, can stratify pNEN subtypes and predict disease progression. Environmental and lifestyle factors, such as diabetes, smoking, and chronic pancreatitis, have been linked to an increased risk of sporadic pNENs. While the association between these factors and tumor progression is still under investigation, their potential role in influencing therapeutic outcomes warrants further study. Advances in systemic therapies, including somatostatin analogs, mTOR inhibitors, and tyrosine kinase inhibitors, have improved disease management. Biomarkers such as Ki-67, somatostatin receptor expression, and O6-methylguanine-DNA methyltransferase (MGMT) status are being evaluated for their predictive value. Novel approaches, including the use of circulating biomarkers (NETest, circulating tumor cells, and ctDNA) and polygenic risk scores, offer promising avenues for non-invasive diagnosis and monitoring. Despite these advancements, challenges remain, including the need for large, well-annotated datasets and validated biomarkers. Future research should integrate multi-omics approaches and leverage liquid biopsy technologies to refine diagnostic, prognostic, and therapeutic strategies. Interdisciplinary collaborations and global consortia are crucial for overcoming current limitations and translating research findings into clinical practice. These insights hold promise for improving prevention, early detection, and tailored treatments, ultimately enhancing patient outcomes.

Eating Disorders and Later Incidence of Cancer: A Nationwide Longitudinal Study in Denmark

Background

We examined the incidence of cancer types among individuals with eating disorders (EDs).

Methods

A nationwide longitudinal study of 6,807,731 individuals born between 1940 and 2015 was conducted using the Danish National Registries. Cox models with ED diagnosis as exposure and cancer diagnoses as outcomes were used to estimate hazard ratios (HRs) and 95% CIs while adjusting for sex, birth year, and comorbidities. The primary analysis comprised ICD-8 and ICD-10 codes for anorexia nervosa (AN) and other ED (OED). The secondary analysis comprised ICD-10 codes and included AN, bulimia nervosa (BN), and eating disorders not otherwise specified (EDNOS).

Results

AN was associated with a reduced incidence of breast cancer while adjusting for sex and birth year (HR, 0.80; 95% CI, 0.66-0.97) and elevated incidence of respiratory (HR, 1.59; 95% CI, 1.24-2.04), cervical (HR, 1.45; 95% CI, 1.05-1.98), and esophageal (HR, 4.77; 95% CI, 2.82-8.06) cancers. OED was associated with an elevated incidence of respiratory (HR, 1.57; 95% CI, 1.20-2.06) and cervical (HR, 1.60; 95% CI, 1.20-2.14) cancers. ICD-10-only analyses confirmed the association of AN with reduced incidence of breast cancer and elevated incidence of respiratory and cervical cancers. BN was associated with reduced incidence of breast cancer in sensitivity analysis. EDNOS was associated with reduced incidence of breast cancer and elevated incidence of respiratory and cervical cancers.

Conclusions

All EDs were associated with a reduced incidence of breast cancer. All EDs except BN were associated with a higher incidence of respiratory and cervical cancers. AN was associated with a higher incidence of esophageal cancer.

The relationship of the microbiome, associated metabolites and the gut barrier with pancreatic cancer

Pancreatic cancers have high mortality and rising incidence rates which may be related to unhealthy western-type dietary and lifestyle patterns as well as increasing body weights and obesity rates. Recent data also suggest a role for the gut microbiome in the development of pancreatic cancer. Here, we review the experimental and observational evidence for the roles of the oral, gut and intratumoural microbiomes, impaired gut barrier function and exposure to inflammatory compounds as well as metabolic dysfunction as contributors to pancreatic disease with a focus on pancreatic ductal adenocarcinoma (PDAC) initiation and progression. We also highlight some emerging gut microbiome editing techniques currently being investigated in the context of pancreatic disease. Notably, while the gut microbiome is significantly altered in PDAC and its precursor diseases, its utility as a diagnostic and prognostic tool is hindered by a lack of reproducibility and the potential for reverse causality in case-control cohorts. Future research should emphasise longitudinal and mechanistic studies as well as integrating lifestyle exposure and multi-omics data to unravel complex host-microbiome interactions. This will allow for deeper aetiologic and mechanistic insights that can inform treatments and guide public health recommendations.

Association between frailty index and epigenetic aging acceleration in older adults: Evidence from the health and retirement study

BACKGOUND

This study aimed to examine the associations between the frailty index and four epigenetic aging acceleration (EAA) estimators in cross-sectional and longitudinal settings.

METHODS

The frailty index in the older adults was measured according to a cumulative health-deficit model. Four different epigenetic age measures (Hannum, PhenoAge, GrimAge, and DunedinPoAm38) were regressed against chronological age, and the resulting standardized residuals were indicative of EAA. The longitudinal relationship between EAA at baseline and changes in the frailty index during the 4-year follow-up were examined using a mixed linear model.

RESULTS

A single standard deviation (SD) increment in the frailty index was associated with a faster EAA, as indicated by the four clocks in Hannum (b = 0.057; P = 0.015), PhenoAge (b = 0.096; P < 0.001), GrimAge (b = 0.120; P < 0.001), and DunedinPoAm38 (b = 0.062; P = 0.002) in the fully adjusted model. A 1-SD increment in the GrimAge EAA was associated with a 0.003 frailty index increase (b = 0.003; P = 0.002). A 1-SD increment in DunedinPoAm38 EAA was associated with a 0.002 frailty index increase (b = 0.002; P = 0.009).

CONCLUSIONS

The frailty index was cross-sectionally associated with EAA, while only GrimAge and DunedinPoAm38 EAA predicted changes in the frailty index. More research is needed to understand the interplay between pathways.

Low-dose anlotinib plus immune checkpoint inhibitors offers better efficacy and safety in advanced non-small cell lung cancer treatment

The combination of anlotinib with immune checkpoint inhibitors (ICIs) has become a common treatment modality in clinical practice. However, the optimal dose of anlotinib to use remains unclear. We collected patients with advanced non-small cell lung cancer (NSCLC) who received programmed cell death-1 blockade combined with different dose of anlotinib as second-line or later line therapy. Subsequently, the efficacy and safety of the combination therapy as well as subgroup analyses of different doses of anlotinib were analyzed. Cox regression was performed to analyze significant factors correlated with progression-free survival (PFS) and overall survival (OS). A total of 50 eligible patients with NSCLC who received anlotinib combined with ICIs therapy were included, of which 27 received low-dose anlotinib (8 mg), and 23 were administered high-dose anlotinib (12 mg). The median PFS (mPFS) and the median OS (mOS) for all patients were 8.3 months [95% confidence interval (CI): 6.3-10.3] and 17.6 months (95% CI: 16.5-18.7), respectively. Subgroup analyses showed that patients treated with 8 mg of anlotinib plus ICIs had significantly longer mPFS than those treated with 12 mg of anlotinib plus ICIs (8.7 vs 6.7 months, P  = 0.016). The overall incidence of adverse events was 68.0%, and the most common adverse events of all grades were hypertension. Meanwhile, the incidence of adverse events was higher for 12 mg of anlotinib plus ICIs than that of 8 mg of anlotinib plus ICIs (82.6 vs 55.6%, P  = 0.041). Low-dose anlotinib in combination with ICIs for advanced NSCLC may be an effective and well-tolerated option.

Artificial intelligence and whole slide imaging, a new tool for the microsatellite instability prediction in colorectal cancer: Friend or foe?

Colorectal cancer (CRC) is the third most common and second most deadly cancer worldwide. Despite advances in screening and treatment, CRC is heterogeneous and the response to therapy varies significantly, limiting personalized treatment options. Certain molecular biomarkers, including microsatellite instability (MSI), are critical in planning personalized treatment, although only a subset of patients may benefit. Currently, the primary methods for assessing MSI status include immunohistochemistry (IHC) for DNA mismatch repair proteins (MMRs), polymerase chain reaction (PCR)-based molecular testing, or next-generation sequencing (NGS). However, these techniques have limitations, are expensive and time-consuming, and often result in inter-method inconsistencies. Deficient mismatch repair (dMMR) or high microsatellite instability (MSI-H) are critical predictive biomarkers of response to immune checkpoint inhibitor (ICI) therapy and MSI testing is recommended to identify patients who may benefit. There is a pressing need for a more robust, reliable, and cost-effective approach that accurately assesses MSI status. Recent advances in computational pathology, in particular the development of technologies that digitally scan whole slide images (WSI) at high resolution, as well as new approaches to artificial intelligence (AI) in medicine, are increasingly gaining ground. This review aims to provide an overview of the latest findings on WSI and advances in AI methods for predicting MSI status, summarize their applications in CRC, and discuss their strengths and limitations in daily clinical practice.

De Novo Chromosomes 3q and 5q Chromothripsis Leads to a 5q14.3 Microdeletion Syndrome Presentation: Case Report and Review of the Literature

5q14.3 microdeletion syndrome (MIM#613443) is a neurodevelopmental disorder (NDD) involving copy number loss of multiple genes including Myocyte enhancer factor 2C (MEF2C) gene in the q14.3 region of chromosome 5. Chromosomes 5 and 15 chromothripsis involving 5q14.3 was previously reported in one individual with developmental epileptic encephalopathy (DEE). A complex chromothripsis between chromosomes 3, 5, 7, 9, and 18 that involved 5q14.3 was also reported in a pregnancy complicated by brain and kidney anomalies on fetal ultrasound. Here, we report chromothripsis of chromosomes 3q and 5q involving 5q14.3 in a three-year-old female with Lennox-Gastaut syndrome. The chromosomes 3q and 5q chromothripsis was found by trio genome sequencing (GS) and confirmed by fluorescent in situ hybridization (FISH). Notable clinical findings include medically refractory seizures, global developmental delay, increased fluid-attenuated inversion recovery (FLAIR) signal in the left inferior temporal gyrus, and dysmorphic features. Chromothripsis of chromosomes 3 and 5 was previously recognized in renal cell carcinomas. To the best of our knowledge, this is the first reported case of chromosomes 3q and 5q chromothripsis leading to a developmental epileptic encephalopathy (DEE) due to disruption of 5q14.3. These findings expand chromosomes 3 and 5 chromothripsis as a genomic mechanism underlying 5q14.3 microdeletion syndrome.

Biomarkers, omics and artificial intelligence for early detection of pancreatic cancer

Pancreatic ductal adenocarcinoma (PDAC) is frequently diagnosed in its late stages when treatment options are limited. Unlike other common cancers, there are no population-wide screening programmes for PDAC. Thus, early disease detection, although urgently needed, remains elusive. Individuals in certain high-risk groups are, however, offered screening or surveillance. Here we explore advances in understanding high-risk groups for PDAC and efforts to implement biomarker-driven detection of PDAC in these groups. We review current approaches to early detection biomarker development and the use of artificial intelligence as applied to electronic health records (EHRs) and social media. Finally, we address the cost-effectiveness of applying biomarker strategies for early detection of PDAC.

Comparison between the effect of angiotensin-converting enzyme inhibitors and angiotensin receptor blockers and their combination on mortality in maintenance dialysis patients: a systematic review and meta-analysis

INTRODUCTION

Patients undergoing maintenance dialysis have a higher mortality rate compared to the general population. It is known that angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) have protective effects on the kidney; however, few studies have directly compared their impact on mortality in patients undergoing dialysis. This study aims to evaluate the effectiveness of ACEIs, ARBs, or their combination in reducing all-cause and cardiovascular mortality in maintenance dialysis patients.

METHODS

We systematically searched PubMed, Cochrane Central, Web of Science (WOS), and Scopus databases from inception until August 23rd, 2024. We included all observational studies and clinical trials that assessed the effectiveness of ACEIs versus ARBs or their combination on mortality outcomes, in patients with CKD on maintenance dialysis. We used Review Manager 5.4 for all statistical analyses.

RESULTS

Five observational studies, including 126,612 patients, met the eligibility criteria and were included in the final analysis. Among all patients, no statistically significant difference was found between ACEIs and ARBs in reducing all-cause mortality (RR: 1.12, 95% CI [0.98, 1.27], P = 0.10) or cardiovascular mortality (RR: 1.10, 95% CI [0.92, 1.33], P = 0.30). In patients on hemodialysis, ARBs were associated with a statistically significant reduction in cardiovascular mortality (P < 0.0001).

CONCLUSION

Our results suggest no differences between ACEIs and ARBs in reducing all-cause or cardiovascular mortality in maintenance dialysis patients. However, ARBs may reduce cardiovascular mortality more effectively in hemodialysis patients. Conducting randomized controlled clinical trials to validate our results is warranted.

Patient and Surgical Factors Associated With Long-Term Mortality Outcomes Up to Fifteen Years After Total Hip and Knee Arthroplasty: An Australian Orthopaedic Association National Joint Replacement Registry Study

BACKGROUND

Mortality rates following total hip arthroplasty (THA) and total knee arthroplasty (TKA) arthroplasty display distinct temporal patterns often attributed to patient selection bias, perioperative optimization, and comorbidities. Understanding these mortality patterns is essential for epidemiological and health economic longitudinal modeling.

METHODS

We conducted a national registry-based cohort study in Australia using data from 1999 to 2022, examining primary and revision THA and TKA procedures for osteoarthritis. We assessed patient factors (age, sex, body mass index, and American Society of Anaesthesiologists score), and surgical factors (procedure, fixation, bearing surface, and implant volume) in relation to long-term mortality. Standardized mortality ratios were calculated by comparing observed and expected deaths based on national mortality rates.

RESULTS

Our study included 540,181 THA and 880,036 TKA procedures. Temporal trends in mortality rates were observed, with a reduction in mortality rate observed up to seven years for both primary THA and primary TKA after the index procedure and an increased mortality rate observed thereafter. All patient factors were associated with differences in mortality rates, with younger (age range, 45 to 49 years) patients for primary TKA demonstrating the strongest association with mortality excess (15 years; standardized mortality ratios 2.02; 95% confidence interval 1.66 to 2.46). Revision procedures were associated with higher mortality rates compared to their respective primary procedures at all time points.

CONCLUSIONS

Our study finds noncausal associations between patient and surgical factors and mortality up to fifteen years following THA and TKA for osteoarthritis in Australia. These findings are crucial for calibrating epidemiological and economic models and enhancing the precision of longitudinal outcome predictions for arthroplasty patients. While limitations exist, our study informs clinical practice, healthcare policies, and future research in arthroplasty surgery on a national scale, with potential relevance to similar populations worldwide.

LEVEL OF EVIDENCE

Level III, therapeutic study.

TP53 -Mutated Myeloid Neoplasms: 2024 Update on Diagnosis, Risk-Stratification, and Management

Alterations in the tumor suppressor gene TP53 are common in human cancers and are associated with an aggressive nature. Approximately 8%-12% of myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML) harbor TP53 mutations (TP53 mut) and present immense challenges due to inherent chemoresistance and poor outcomes. As TP53 mut are more common in older individuals and those with secondary/therapy-related myeloid neoplasms (MN), their incidence is expected to increase with an aging population and rising proportion of cancer survivors. Treatments used for other MN-intensive chemotherapy, hypomethylating agents, and the BCL-2 inhibitor venetoclax-do not improve the survival of TP53 mut MN patients meaningfully. Additionally, further development of many promising agents has been discontinued, highlighting the challenges. Widespread acknowledgment of these problems led to the recognition of TP53 mut MN as a distinct entity in the 5th edition of the World Health Organization and International Consensus Classifications. However, critical discrepancies between the two classifications may lead to under- or overestimation of the prognostic risk. Here, we review recent advances in the biology, diagnosis, and treatment of TP53 mut MN. The development of TP53 mut MN is positioned at the intersection of age, hereditary predisposition, and anti-cancer therapies. Precursor TP53 mut clones can be detected years prior to the eventual leukemic transformation-raising the possibility of early intervention. We discuss the two classification systems and the bearing of the discrepancies between the two on timely and effective management. We provide novel evidence in the areas of discrepancies. Finally, we review the current therapeutic landscape and the obvious limitations of the currently used therapies.

Frailty determinants in heart failure: Inflammatory markers, cognitive impairment and psychosocial interaction

AIMS

This study aimed to identify factors associated with frailty in heart failure (HF) patients, focusing on demographic, biochemical and health-related variables. It also explored the correlation between frailty and comorbidities such as malnutrition, cognitive impairment and depression, assessing how these factors interact to influence frailty risk.

METHODS

A total of 250 HF patients (mean age 73.5 ± 7.2 years; 45.6% female) hospitalized for acute decompensated HF were included. Frailty was assessed using Fried phenotype criteria. Cognitive function, depression and nutritional status were evaluated using validated instruments [Mini-Mental State Examination (MMSE), Patient Health Questionnaire-9 (PHQ-9) and Mini Nutritional Assessment (MNA)]. Biochemical markers included C-reactive protein (CRP), N-terminal prohormone of brain natriuretic peptide (NT-proBNP), haemoglobin, estimated glomerular filtration rate (eGFR) and systolic blood pressure (SBP). Statistical analyses, including logistic regression, were performed to assess associations and odds ratios (ORs) for frailty, adjusted for inflammation and HF type.

RESULTS

Frailty was present in 60.4% of patients. Frail individuals exhibited significantly higher CRP (median 4.60 vs. 2.54 mg/L, P < 0.001) and NT-proBNP (median 2558.8 vs. 1102.6 pg/mL, P = 0.001) and lower haemoglobin (13.7 vs. 14.3 g/dL, P = 0.012), eGFR (62 vs. 71 mL/min/1.73 m2, P = 0.025) and SBP (130 vs. 134 mmHg, P = 0.026). Each 10% increase in CRP was associated with a 5.5% increase in frailty odds (P < 0.001). Frailty was linked to cognitive impairment (OR 2.1, P = 0.018), malnutrition (OR 3.0, P < 0.001) and depression (OR 3.1, P < 0.001), while high adherence to treatment reduced frailty risk by 78.9% (P = 0.027). Interactions were observed between cognitive impairment and body mass index (BMI) (P = 0.020), where higher BMI mitigated the frailty odds difference between cognitively impaired and unimpaired patients. Depression's association with frailty odds varied by adherence levels (P = 0.034) and central obesity (P = 0.047), with the absence of depression offering protection against frailty in patients with central obesity. These interactions remained significant after adjustment for HF type and left ventricular ejection fraction (LVEF) and were consistent across stratifications by these factors.

CONCLUSIONS

Frailty in HF is influenced by inflammatory markers, cognitive impairment and psychosocial factors. Elevated CRP and NT-proBNP were strong predictors of frailty. Cognitive impairment and depression were key modifiable factors, interacting with BMI, adherence and obesity. Targeting these factors with early interventions could mitigate frailty risk, improving outcomes and quality of life in HF patients.

The connection between 91 inflammatory cytokines and frailty mediated by 1400 metabolites: An exploratory two-step Mendelian randomization analysis

BACKGROUND

Frailty, a common, multifaceted, and significant geriatric condition, involves crucial roles of inflammation and metabolic factors in its onset and progression. Nevertheless, the ambiguities and complexities in earlier observational studies make current research into their interactions somewhat insufficient. Our goals were to clarify the causal link between inflammatory cytokines and frailty and to explore the potential mediating effect of metabolites using Mendelian randomization (MR) analysis.

METHODS

Utilizing detailed summary-level data from genome-wide association studies, we conducted two-sample Mendelian randomization analyses to evaluate the potential causal connection between 91 inflammatory cytokines and the frailty index, along with the possible mediating pathways that involve 1400 metabolites. For our main analysis, we applied the inverse variance weighted method. To evaluate the potential mediating pathways of metabolites, a two-step MR analysis was utilized.

RESULTS

We identified 8 inflammatory cytokines that were genetically associated with the frailty index, we subsequently identified 2 mediated relationships, with 2 metabolites acting as potential mediators between 2 inflammatory cytokines and frailty index. The 8 inflammatory cytokines were fractalkine (CX3CL1), interleukin-33 (IL-33), leukemia inhibitory factor receptor (LIF-R), monocyte chemoattractant protein-1 (CCL8), CC motif chemokine 4 (CCL4), C-X-C motif chemokine 10 (CXCL10), fibroblast growth factor 5 (FGF-5), and TNF-beta (TNFB) levels.

CONCLUSIONS

The findings of this study demonstrate a direct connection between inflammatory cytokines and the frailty index, as well as two pathways mediated by metabolites. These biomarkers contribute valuable insights into the foundational mechanisms of frailty, presenting a novel research avenue for upcoming clinical studies.

Prospective Evaluation of Circulating Tumor DNA Using Next-generation Sequencing as a Biomarker During Neoadjuvant Chemotherapy in Localized Pancreatic Cancer

OBJECTIVE

In this prospective study, we aim to characterize the prognostic value of circulating tumor DNA (ctDNA) by next-generation sequencing (NGS) in patients undergoing neoadjuvant chemotherapy (NAC) for pancreatic ductal adenocarcinoma (PDAC).

BACKGROUND

ctDNA is a promising blood-based biomarker that is prognostic in several malignancies. Detection of ctDNA by NGS may provide insights regarding the mutational profiles in PDAC to help guide clinical decisions for patients in a potentially curative setting. However, the utility of ctDNA as a biomarker in localized PDAC remains unclear.

METHODS

Patients with localized PDAC were enrolled in a prospective study at Northwestern Medicine between October 2020 and October 2022. Blood samples were collected to perform targeted tumor-agnostic NGS utilizing the Tempus x|F 105 gene panel at 3 timepoints: pretherapy (at diagnosis), post-NAC, and after local therapy, including surgery. The relationship between ctDNA detection and CA19-9 and the prognostic significance of ctDNA detection were analyzed.

RESULTS

Fifty-six patients were included in the analysis. ctDNA was detectable in 48% at diagnosis, 33% post-NAC, and 41% after local therapy. After completion of NAC, patients with detectable ctDNA had higher CA19-9 levels versus those without (78.4 vs 30.0; P =0.02). The presence of baseline ctDNA was associated with a CA19-9 response; those without ctDNA had a significant CA19-9 response following NAC (109.0 vs 31.5 U/mL; P =0.01), while those with ctDNA present at diagnosis did not (198.1 vs 113.8 U/mL; P =0.77). In patients treated with NAC, the presence of KRAS ctDNA at diagnosis was associated with and independently predicted worse progression-free survival.

CONCLUSIONS

This report demonstrates the prognostic value of ctDNA analysis with NGS in localized PDAC. NGS ctDNA is a biomarker of treatment response to NAC. KRAS ctDNA at diagnosis independently predicts worse survival in patients treated with NAC.

Effects of Electronic Cigarettes on Periodontal Health: A Systematic Review and Meta-Analysis

OBJECTIVES

The use of electronic cigarettes "e-cigarettes," or vaping is growing in popularity, especially among adolescents and young adults. While the effects of cigarette smoking on oral health are well-established, the exact impact that e-cigarettes may have on dental tissues is still uncertain. The aim of the current review was to summarize evidence related to the effect of vaping on the periodontal health status of e-cigarette users.

METHODS

A comprehensive electronic search was performed using PubMed, Web of Science, and Scopus databases, until January 31st, 2024. Two independent reviewers participated in the screening of studies, data extraction, and assessment of the included studies. Any disagreements were resolved by a third reviewer the quality assessment was done using the Newcastle-Ottawa Scale to assess the risk of bias. A frequentist meta-analysis was performed using R Statistical Software. The random effects model was adopted. Data were described as mean difference (MD) and 95% confidence interval (CI). A p-value of ≤ .05 was deemed statistically significant.

RESULTS

Ten studies met the eligibility criteria. Overall, the findings were consistent, with most studies showing that e-cigarette users are at greater risk of periodontal disease than nonsmokers, but that they have a lower risk than cigarette smokers. Pooling results showed lower mean probing depth (PD) among nonsmokers than e-smokers (MD: -1.91; 95% CI: [-3.36: -0.47]; p-value = .01) while it was higher among cigarette smokers in participants with periodontitis (MD:0.43; 95%CI: [0.08:0.79]; p-value = .02). Compared to e-smoking, nonsmokers had lower PI (MD: -20.63; 95%CI: [-28.04: -13.21]; p-value < .001) while cigarette smokers had higher PI (MD: 4.88; 95% CI: [-1.52:11.29]; p-value = .135). Among participants with periodontitis, only cigarette smokers had significantly higher PI (MD: 4.53; 95%CI: [1.94:7.13]; p-value < .001).

CONCLUSION

Based on the current analysis, conventional cigarette smoking is the most detrimental to periodontal health among the groups compared in all included studies. This indicates that traditional cigarettes have a more severe impact on periodontal tissues than do e-cigarettes. The data suggest a gradient of risk where nonsmokers have the lowest risk, e-cigarette users have a moderate risk, and cigarette smokers have the highest risk for periodontal health issues.

ZOOMit diffusion kurtosis imaging combined with diffusion weighted imaging for the assessment of microsatellite instability in endometrial cancer

PURPOSE

Detecting microsatellite instability (MSI) plays a key role in the management of endometrial cancer (EC), as it is a critical predictive biomarker for Lynch syndrome or immunotherapy response. A pressing need exists for cost-efficient, broadly accessible tools to aid patient for universal testing. Herein, we investigate the value of ZOOMit diffusion kurtosis imaging (DKI) and diffusion weighted imaging (DWI) based on preoperative pelvic magnetic resonance imaging (MRI) images in assessing MSI in EC.

METHODS

Preoperative MRI examination including ZOOMit DKI and DWI of 81 EC patients were retrospectively analyzed. The apparent diffusion coefficient (ADC), mean kurtosis (MK), mean diffusivity (MD) and the largest tumor size based on MRI images, as well as patients' clinicopathological features were compared and analyzed according to different microsatellite statuses.

RESULTS

Of the 81 patients, 59 (72.8%) who were microsatellite stability (MSS) and 22 (27.2%) who were MSI. Interobserver agreement for the quantitative parameter measurements was excellent (ICC 0.78-0.98). The ADC and MD values were significantly lower, while Ki-67 proliferation level and MK values were significantly higher in the MSI group compared to those of the MSS group. The parameters of MD and MK were independent predictors for determining MSI, and their combination showed better diagnostic efficacy with an area under the receiver operating characteristic curve (AUROC) of 0.860 (95% confidence interval, 0.765, 0.927), although there was no significant difference compared to each individual parameter.

CONCLUSION

The microstructural heterogeneity assessment of ZOOMit DKI allowed for characterizing MSI status in EC. Within the current universal MSI testing paradigm, DKI may provide added value as a potential noninvasive imaging biomarker for preoperative assessment of MSI tumors, thereby facilitating clinical decision-making.

Association of proteomics with lymph node metastasis in early gastric cancer patients

Surgical decision making for early gastric cancer (EGC) is heavily influenced by its metastasis into the lymph nodes. Currently, the clinicopathological features of EGC cannot be used to accurately distinguish between EGC patients with and without lymph node metastasis. Our retrospective case-matching study included a total of 132 samples from 66 pairs of EGC patients with or without lymph node metastasis and conducted proteomic assays. By comparing the lymph node metastasis group and the nonmetastasis group, we found that two proteins, GABARAPL2 and NAV1, were significantly associated with lymph node metastasis in EGC patients. Our prediction model using protein biomarkers had good prediction accuracy, with an area under the curve (AUC) of 0.87, a sensitivity of 0.78, a specificity of 0.89, and an accuracy of 0.84, which can help distinguish between EGC patients with and without lymph node metastasis and guide the decision-making process for performing tailored surgery.

A systematic evaluation of the therapeutic potential of endogenous-ADAR editors in cancer prevention and treatment

Adenosine deaminases acting on RNA (ADAR) enzymes constitute a natural cellular mechanism that induces A-to-I(G) editing, introducing genetic changes at the RNA level. Recently, interest in the endogenous-ADAR editor has emerged for correcting genetic mutations, consisting of a programmed oligonucleotide that attracts the native ADAR, thereby offering opportunities for medical therapy. Here, we systematically chart the scope of cancer mutations that endogenous-ADAR can correct. First, analyzing germline single nucleotide variants in cancer predisposition genes, we find that endogenous-ADAR can revert a fifth of them, reducing the risk of cancer development later in life. Second, examining somatic mutations across various cancer types, we find that it has the potential to correct at least one driver mutation in over a third of the samples, suggesting a promising future treatment strategy. We also highlight key driver mutations that are amenable to endogenous-ADAR, and are thus of special clinical interest. As using endogenous-ADAR entails delivering relatively small payloads, the prospects of delivering endogenous-ADAR to various cancers seem promising. We expect that the large scope of correctable mutations that are systematically charted here for the first time will pave the way for a new era of cancer treatment options.

Mitochondrial dysfunction as a biomarker of frailty: The FRAMITO study protocol

Frailty syndrome often coexists with multimorbidity, sharing several risk factors and outcomes. Therefore, considering multimorbidity when exploring frailty biomarkers may deepen our understanding of these conditions' pathophysiology. In this regard, most studies focused on inflammation, but markers of mitochondrial dysfunction, such as mitochondrial DNA damage, cell respiratory impairment, and oxidative stress, are less explored. The FRAMITO project aims to evaluate mitochondrial dysfunction in frailty, with and without multimorbidity. This cross-sectional study will enroll 75 individuals aged ≥65 years from inpatient and outpatient clinics at the Geriatrics Units of the University Hospital of Ferrara (Ferrara, Italy) and Fondazione IRCCS San Gerardo dei Tintori (Monza, Italy). Participants will be categorized into three groups: 25 without frailty and multimorbidity, 25 with frailty but not multimorbidity, and 25 with frailty and multimorbidity. Blood samples will be collected to isolate Peripheral Blood Mononuclear Cells. Frailty biomarkers will be identified using untargeted metabolomics and functional studies on mitochondrial dysfunctions in PBMCs and their subpopulations, evaluating mitochondrial DNA damage, mitochondrial and glycolytic cellular bioenergetics, and intracellular reactive oxygen species. This project will advance our understanding of mitochondrial dysfunctions in frailty, particularly when combined with multimorbidity, revealing potential synergistic effects. CLINICALTRIAL.GOV REGISTRATION NUMBER: NCT06433427.

Three Molecular Developmental Pathways of Remnant Pancreatic Cancer After Resection: A Nationwide Project Study of Japan Pancreas Society

OBJECTIVE

To clarify the molecular mechanism of remnant pancreatic cancer (PC) development after primary PC resection.

BACKGROUND

Molecular mechanisms of the development of remnant PCs after primary PC resection are largely unknown.

METHODS

Forty-three patients undergoing remnant PC resection after primary PC resection between 2001 and 2017 at 26 institutes were retrospectively analyzed. Clinicopathologic features and molecular alterations detected by targeted amplicon sequencing of 36 PC-associated genes were evaluated.

RESULTS

These patients showed significantly lower body mass indices and higher hemoglobin A1c values at remnant PC resection than at primary PC resection. A comparison of the molecular features between primary and remnant PCs indicated that remnant PCs were likely to develop through 3 different molecular pathways: successional, showing identical and accumulated alterations (n = 14); phylogenic, showing identical and distinct alterations (n = 26); and distinct, showing independent distinctive alterations (n = 3). The similarity of gene alterations was associated with time to the remnant PC development ( r = 0.384, P = 0.0173). Phylogenic pathways were significantly associated with the intraductal spread of carcinoma ( P = 0.007). Patient survival did not differ significantly depending on these molecular pathways.

CONCLUSIONS

Molecular profiling uncovered 3 pathways for the development of remnant PCs, namely, successional, phylogenic, and distinct pathways. The vast majority of remnant PCs are likely to be molecularly associated with primary PCs either in the successional or phylogenic way. This information could impact the design of a strategy for monitoring and treating remnant PCs.

Nanomaterials in the diagnosis and treatment of gastrointestinal tumors: New clinical choices and treatment strategies

Nanomaterials have emerged as a promising modality in the diagnosis and treatment of gastrointestinal (GI) tumors, offering significant advancements over conventional methods. In diagnostic applications, nanomaterials facilitate enhanced imaging techniques, including magnetic resonance imaging (MRI), computed tomography (CT), and fluorescence imaging, which provide improved resolution and more accurate detection of early-stage cancers. Nanoparticles (NPs), such as liposomes, dendrimers, and quantum dots, are increasingly employed for the targeted imaging of specific biomarkers associated with GI malignancies, thereby enhancing diagnostic sensitivity and specificity. Liposomes are primarily used for drug delivery due to their ability to encapsulate hydrophobic drugs, dendrimers are useful for both drug delivery and gene therapy due to their highly branched structure, and quantum dots are primarily used in imaging and diagnostics because of their fluorescent properties. We also discuss their respective advantages and limitations. In therapeutic contexts, nanomaterials play a pivotal role in the development of targeted drug delivery systems. These systems address the limitations of traditional chemotherapy by improving drug bioavailability, reducing systemic toxicity, and promoting selective accumulation at tumor sites via both passive and active targeting mechanisms. Nanomedicines, including NPs and nanocarriers, enable the precise delivery of chemotherapeutic agents, nucleic acid -based therapies, and immunomodulators directly to cancer cells, thereby optimizing therapeutic efficacy. Furthermore, nanotechnology offers the potential to modulate the tumor microenvironment (TME), a critical factor in overcoming challenges related to tumor resistance and metastasis. Despite these promising advancements, several challenges persist, including concerns regarding long-term toxicity, stability, and regulatory approval. Nonetheless, the integration of nanomaterials into clinical practice holds substantial potential for revolutionizing the management of GI cancers, paving the way for more precise, personalized, and effective therapeutic strategies.

Rare pancreatic cystic neoplasms: A pictorial review

Since rare pancreatic cystic tumors may differ from common pancreatic cystic neoplasms in terms of treatment plan and prognosis, the differential diagnosis of these diseases is clinically relevant. Various imaging tests play an important role in the differential diagnosis of rare cystic pancreatic tumors, but accurately distinguishing these diseases solely on the basis of imaging findings is challenging. The purpose of this pictorial review is to present CT and in particular MR imaging features of rare pancreatic cystic tumors and discuss potential elements for differential diagnosis.

Interobserver agreement in dysplasia grading of intraductal papillary mucinous neoplasms: performance of Kyoto guidelines and optimization of endomicroscopy biomarkers through pathology reclassification

BACKGROUND AND AIMS

Interobserver agreement (IOA) among pancreaticobiliary (PB) pathologists in evaluating high-grade dysplasia and/or invasive carcinoma (HGD-IC) of intraductal papillary mucinous neoplasms (IPMNs) remains understudied. EUS-guided needle-based confocal endomicroscopy (nCLE) can evaluate papillary architecture in branch duct IPMNs. We assessed IOA among PB pathologists in classifying dysplasia in resected IPMNs and compared the performance of the Kyoto guidelines' high-risk stigmata (HRS) and presurgical EUS-nCLE against reclassified pathology.

METHODS

Participants in prospective clinical trials (2015-2023) with resected IPMNs were included. Blinded PB pathologists independently reviewed histopathology, achieving a consensus diagnosis. The accuracies of cyst fluid next-generation sequencing analysis, EUS-nCLE, and Kyoto HRS in predicting HGD-IC were compared with the reclassified pathology.

RESULTS

Among 64 participants, 25 (39%) exhibited HGD-IC (17 HGD, 8 invasive carcinoma). Disagreements occurred in 14% of cases with substantial IOA (κ = 0.70; 95% confidence interval, 0.53-0.88) between 2 PB pathologists for differentiating HGD-IC versus low-grade dysplasia (LGD). To detect HGD-IC, the sensitivity, specificity, and accuracy of Kyoto HRS and EUS-nCLE were 52%, 95%, 78% and 68%, 87%, 80%, respectively. Integrating nCLE with Kyoto HRS improved sensitivity to 80%, with specificity and accuracy at 82% and 81%, respectively. The sensitivity, specificity, and accuracy of next-generation sequencing (n = 47) to detect HGD-IC were 6.3%, 100%, and 68%, respectively. A unique subset of IPMNs were identified in all (n = 8, P = .01) cases where presurgical EUS-nCLE underestimated dysplasia revealing a distinct micropapillary architecture on postsurgical histopathology.

CONCLUSIONS

Despite substantial IOA among experienced PB pathologists, a second pathologist's review may be warranted for dysplasia classification in IPMNs under certain circumstances. Incorporating an imaging biomarker such as EUS-nCLE with Kyoto HRS improves sensitivity for HGD-IC without sacrificing accuracy.

Treatment Innovations in Pancreatic Cancer: Putting Patient Priorities First

Pancreatic adenocarcinoma remains one of the most aggressive and difficult-to-treat solid tumor malignancies, with a high mortality-to-incidence ratio. Globally, pancreatic cancer ranks 12th in terms of incidence but sixth for mortality signifying its aggressive behavior and limited treatment options. While the mortality rates for many other solid tumors have substantially improved over the past few decades, temporal trends in pancreatic cancer mortality rates are quite sobering. In the United States, from 2000 to 2020, the mortality rates from pancreatic cancer have increased, whereas at the same time, mortality rates from other cancers, such as lung, colorectal, or kidney, have fallen appreciably. Is this for lack of treatment innovation? How do we improve survival for patients with pancreatic cancer? In this chapter, we discuss the recent advances and future directions with targeted therapies and immunotherapies in the treatment of pancreatic cancer, and provide the reasons for both optimism and caution for the future of systemic treatment of pancreatic cancer.

Prevalence of frailty and prefrailty in systemic lupus erythematosus: A systematic review and meta-analysis

OBJECTIVE

Frailty is associated with mortality in systemic lupus erythematosus (SLE), but the prevalence is unclear. The aim of this systematic review and meta-analysis was to investigate the prevalence of frailty and prefrailty in SLE patients.

METHODS

Four databases, namely PubMed, Cochrane, EMBASE, and Web of Science, were systematically searched from their inception to November 2024 to identify studies that fulfilled the predefined a priori inclusion criteria for systematic review and meta-analysis, and that specifically investigated frailty and prefrailty in patients with SLE. The quality assessment of the included studies was conducted according to the Newcastle-Ottawa scale (NOS).

RESULTS

Fifteen studies were retrieved according to the inclusion criteria, and their data were combined in the eventual review. Data from studies including 46,060 patients with SLE were included. The analysis showed that the pooled prevalence of frailty in patients with SLE was 27 % (95 % CI: 19 % - 36 %), the pooled prevalence of prefrailty was 65 % (95 % CI: 54 % - 76 %). Analysis of subgroups revealed that the prevalence of frailty was 26 % (95 % CI: 14 % to 41 %) when measured by Systemic Lupus International Collaborating Clinics-Frailty Index (SLICC-FI) and 22 % (95 % CI: 18 % to 26 %) when assessed using Fried phenotype (FP).

CONCLUSION

Both frailty and prefrailty are highly prevalent conditions among patients with SLE. There is an urgent need to better understand and address frailty in this population to enhance patient outcomes and quality of life.

Building a Genomic Foundation: Competencies for Applying Genomics in Oncology Nursing Practice

The application of genomic insights in oncology nursing practice emerges as a focal point now that precision health has become the standard of care. The article delves into the critical intersection of genomics and oncology nursing, aiming to establish a genomic foundation while elucidating its practical application in clinical settings. The authors construct a crosswalk by examining existing global genomic nurse competencies and suggest emerging competencies to facilitate integration into oncology nursing practice. Through empirical evidence, the article highlights how genomic information empowers nurses to tailor assessments, interventions, and anticipate treatment responses, thereby optimizing patient outcomes and quality of life.

Pancreatic cancer precursor lesions - Can immunotherapy prevent progression into pancreatic ductal adenocarcinoma?

Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers, with a 5-year survival rate of only 12.5 %. Early detection of PDAC or addressing risk factors for PDAC development are ways to improve outcomes. PDAC can arise from precursor lesions, including pancreatic intraepithelial neoplasia (PanIN), intraductal papillary mucinous neoplasm (IPMN), and less frequent, mucinous cystic neoplasm (MCN), and other rare precursor variants. High-risk precursor lesions harbor a substantial chance of evolving into PDAC. Such lesions can often be found in resected PDAC specimens adjacent to the cancer. Unfortunately, recognizing precursor lesions that need to be resected is often tricky, and resections frequently end in major surgical interventions. Thus, better ways to handle precursor lesions are desperately needed. We mapped the immune microenvironments (IMEs) of PanINs, IPMNs, and MCNs on a cellular level using multiplex immunofluorescence and computational imaging technology and compared the findings to PDACs and normal pancreatic tissues. We found distinct and potentially targetable mechanisms of immunosuppression between the two main precursor lesions, PanIN and IMPN. Immunosuppression in IPMNs seems partly mediated by programmed cell death protein 1 ligand (PD-L1) expression on antigen-presenting cells (APCs). By contrast, elevated numbers of regulatory T cells (Tregs) seem to be key players in the immunosuppression of PanINs. Thus, treating high-risk IPMNs with anti-PD-1 and high-risk PanINs with agents targeting Tregs, such as anti-lymphocyte associated protein 4 (anti-CTLA-4) antibodies, could reverse their immunosuppressive state. Reversal of immunosuppression will restore immunosurveillance and eventually prevent progression into PDAC. We also review relevant published and ongoing non-surgical treatment approaches for high-risk IPMNs and PanINs.

Genetic evidence for the effects of glucokinase activation on frailty-related outcomes: A Mendelian randomisation study

AIMS

We aimed to use the Mendelian randomisation (MR) design to investigate the potential causal effects of glucokinase (GK) activation on frailty-related outcomes and to explore the potential mediating effects of metabolic and inflammatory biomarkers.

MATERIALS AND METHODS

Seventeen independent single-nucleotide polymorphisms (SNPs) located within the GCK gene and significantly correlated with the glycated haemoglobin (HbA1c) level were used as genetic proxies for the effect of GK activation. We employed two-sample MR analysis to assess the relationship between genetically proxied GK activation and multifactorial frailty-related outcomes (frailty index, grip strength, walking pace, appendicular lean mass [ALM] and telomere length) We also explored the potential mediating effects using two-step MR.

RESULTS

Genetically proxied GK activation was significantly associated with a lower frailty index (beta: -0.161 per 1% decrease in HbA1c level due to GK activation, 95% confidence interval: -0.282 to -0.040, false discovery rate-adjusted p = 0.011). Additionally, GK activation showed significant associations with increased grip strength, higher ALM, faster walking pace and longer telomere length. GK activation also demonstrated a significant indirect effect on total grip strength and telomere length by reducing C-reactive protein levels (proportion of mediation: 6.79% to 8.21%).

CONCLUSION

Our study provides genetic evidence supporting the causal effects of GK activation on lowering the risk of frailty. These findings suggest that GK activators (GKAs) may aid in the management of frailty and sarcopaenia in people with diabetes; however, future randomized controlled trials are necessary to validate these results and establish their clinical applicability.

Advancing the frontier of artificial intelligence on emerging technologies to redefine cancer diagnosis and care

BACKGROUND

Artificial Intelligence (AI) is capable of revolutionizing cancer therapy and advancing precision oncology via integrating genomics data and digitized health information. AI applications show promise in cancer prediction, prognosis, and treatment planning, particularly in radiomics, deep learning, and machine learning for early cancer diagnosis. However, widespread adoption requires comprehensive data and clinical validation. While AI has demonstrated advantages in treating common malignancies like lung and breast cancers, challenges remain in managing rare tumors due to limited datasets. AI's role in processing multi-omics data and supporting precision oncology decision-making is critical as genetic and health data become increasingly digitized.

METHOD

This review article presents current knowledge on AI and associated technologies, which are being utilized in the diagnosis and therapy of cancer. The applications of AI in radiomics, deep learning, and machine learning for cancer screening and treatment planning are examined. The study also explores the capabilities and limitations of predictive AI in diagnosis and prognosis, as well as generative AI, such as advanced chatbots, in patient and provider interactions.

RESULTS

AI can improve the early diagnosis and treatment of high-incidence cancers like breast and lung cancer. However, its application in rare cancers is limited by insufficient data for training and validation. AI can effectively process large-scale multi-omics data from DNA and RNA sequencing, enhancing precision oncology. Predictive AI aids in risk assessment and prognosis, while generative AI tools improve patient-provider communication. Despite these advancements, further research and technological progress are needed to overcome existing challenges.

CONCLUSIONS

AI holds transformative potential for cancer therapy, particularly in precision oncology, early detection, and personalized treatment planning. However, challenges such as data limitations in rare cancers, the need for clinical validation, and regulatory considerations must be addressed. Future advancements in AI could significantly improve decision-support systems in oncology, ultimately enhancing patient care and quality of life. The review highlights both the opportunities and obstacles in integrating AI into cancer diagnostics and therapeutics, calling for continued research and regulatory oversight.

Loss of function of Atrx recapitulates phenotypes of alternative lengthening of telomeres in a primary mouse model of sarcoma

The development of a telomere maintenance mechanism is essential for immortalization in human cancer. While most cancers elongate their telomeres by expression of telomerase, 10-15% of human cancers utilize a pathway known as alternative lengthening of telomeres (ALT). ALT is commonly associated with loss-of-function mutations in ATRX. Here, we developed a genetically engineered primary mouse model of sarcoma in CAST/EiJ mice to investigate the extent to which telomerase deficiency and Atrx-inactivation lead to ALT induction. We observed increases in multiple ALT-associated phenotypic indicators in tumors with loss of function mutations of Atrx. Furthermore, we found that loss of Atrx leads to an increase in telomeric instability and telomere sister chromatid exchange. However, Atrx-deficient tumors did not show productive telomere length maintenance in the absence of telomerase. This primary mouse model of sarcoma could facilitate future investigations into the molecular features of ALT in vivo.

Exploring the Influence of Gene Networks on Driver Gene Classification

Cancer is a complex disease caused by mutations in the genome of cells. Genetic mutations can be divided into driver mutations, which are significant for the initiation and progression of cancer, and passenger mutations, which have a neutral effect. In recent years, computational methods have been developed to identify driver genes. Some of these methods use data from gene networks to classify the genes. However, the impact of different gene networks on the performance of these methods remains unexplored. This article aims to analyze the influence of genetic networks in driver gene classification. We analyzed driver gene classification methods that use gene networks as input data, using different cancer mutation datasets and distinct gene networks. Computational methods show significant variation in their results when different gene networks are employed. The results highlight the need to carefully interpret driver gene classification and emphasize the importance of using different gene networks. These findings underline the necessity of developing more robust computational approaches that account for network variability, ensuring greater reliability in driver gene identification and its applications in cancer research.

HR eye & MMR eye: one-day assessment of DNA repair-defective tumors eligible for targeted therapy

Homologous recombination (HR) and mismatch repair (MMR) act as guardians of the human genome, and defects in HR or MMR are causative in at least a quarter of all malignant tumors. Although these DNA repair-deficient tumors are eligible for effective targeted therapies, fully reliable diagnostic strategies based on functional assay have yet to be established, potentially limiting safe and proper application of the molecular targeted drugs. Here we show that transient transfection of artificial DNA substrates enables ultrarapid detection of HR and MMR. This finding led us to develop a diagnostic strategy that can determine the cellular HR/MMR status within one day without the need for control cells or tissues. Notably, the accuracy of this method allowed the discovery of a pathogenic RAD51D mutation, which was missed by existing companion diagnostic tests. Our methods, termed HR eye and MMR eye, are applicable to frozen tumor tissues and roughly predict the response to therapy. Overall, the findings presented here could pave the way for accurately assessing malignant tumors with functional defects in HR or MMR, a step forward in accelerating precision medicine.

Viral oncogenesis in cancer: from mechanisms to therapeutics

The year 2024 marks the 60th anniversary of the discovery of the Epstein-Barr virus (EBV), the first virus confirmed to cause human cancer. Viral infections significantly contribute to the global cancer burden, with seven known Group 1 oncogenic viruses, including hepatitis B virus (HBV), human papillomavirus (HPV), EBV, Kaposi sarcoma-associated herpesvirus (KSHV), hepatitis C virus (HCV), human T-cell leukemia virus type 1 (HTLV-1), and human immunodeficiency virus (HIV). These oncogenic viruses induce cellular transformation and cancer development by altering various biological processes within host cells, particularly under immunosuppression or co-carcinogenic exposures. These viruses are primarily associated with hepatocellular carcinoma, gastric cancer, cervical cancer, nasopharyngeal carcinoma, Kaposi sarcoma, lymphoma, and adult T-cell leukemia/lymphoma. Understanding the mechanisms of viral oncogenesis is crucial for identifying and characterizing the early biological processes of virus-related cancers, providing new targets and strategies for treatment or prevention. This review first outlines the global epidemiology of virus-related tumors, milestone events in research, and the process by which oncogenic viruses infect target cells. It then focuses on the molecular mechanisms by which these viruses induce tumors directly or indirectly, including the regulation of oncogenes or tumor suppressor genes, induction of genomic instability, disruption of regular life cycle of cells, immune suppression, chronic inflammation, and inducing angiogenesis. Finally, current therapeutic strategies for virus-related tumors and recent advances in preclinical and clinical research are discussed.

Three-dimensional genome landscape of primary human cancers

Genome conformation underlies transcriptional regulation by distal enhancers, and genomic rearrangements in cancer can alter critical regulatory interactions. Here we profiled the three-dimensional genome architecture and enhancer connectome of 69 tumor samples spanning 15 primary human cancer types from The Cancer Genome Atlas. We discovered the following three archetypes of enhancer usage for over 100 oncogenes across human cancers: static, selective gain or dynamic rewiring. Integrative analyses revealed the enhancer landscape of noncancer cells in the tumor microenvironment for genes related to immune escape. Deep whole-genome sequencing and enhancer connectome mapping provided accurate detection and validation of diverse structural variants across cancer genomes and revealed distinct enhancer rewiring consequences from noncoding point mutations, genomic inversions, translocations and focal amplifications. Extrachromosomal DNA promoted more extensive enhancer rewiring among several types of focal amplification mechanisms. These results suggest a systematic approach to understanding genome topology in cancer etiology and therapy.

Telomeres and Telomerase: Targets for Chemoprevention of Hepatocellular Carcinoma With Bioactive Food Compounds

The maintenance of telomere length by telomerase plays an essential role in senescence, aging, and cancer. Mutations in the TERT promoter, a telomerase subunit, are frequent in human cancers. In hepatocellular carcinoma (HCC), telomere shortening contributes to preneoplastic conditions such as cirrhosis. Telomerase activation during cirrhosis may reduce chromosomal instability, while its suppression in early dysplastic nodules may prevent hepatocarcinogenesis. Evidence suggests that bioactive food compounds (BFCs) can reduce the incidence and/or delay the onset of HCC by modulating telomerase activity. A systematic review was conducted on the role of BFCs in telomerase activity during hepatocarcinogenesis. BFCs were analyzed in isolated form or as part of extracts and categorized into fatty acids, isoprenoids, isothiocyanates, and phenolic compounds. Despite structural diversity, BFCs modulate telomerase through common mechanisms, including inhibition of activating proteins at the TERT promoter, activation of nuclear receptors, or histone H3 hyperacetylation. Indirectly, telomerase can also be modulated via activation of antioxidant defense pathways. Understanding telomerase reactivation and its modulation by BFCs is key to establishing effective HCC chemoprevention strategies targeting telomerase.

Alternative lengthening of telomeres confers favorable prognosis in chondrosarcomas

BACKGROUND

Cancer cells achieve replicative immortality through telomere maintenance mechanisms (TMMs), primarily via telomerase activation or alternative lengthening of telomeres (ALT). Sarcomas frequently employ the ALT pathway, which traditionally correlates with adverse clinical outcomes. However, chondrosarcomas represent a unique context where the role and prognostic significance of ALT remain largely unexplored.

METHODS

We performed comprehensive analyses of single-cell RNA-sequencing data from patients with chondrosarcoma and integrated this with 90 bulk RNA-seq datasets. This approach enabled detailed characterization of TMM at single-cell resolution, identification of ALT-specific signatures, and evaluation of the tumor microenvironment in chondrosarcomas.

RESULTS

Patients with ALT-like chondrosarcomas exhibited significantly improved survival compared to those with non-ALT-like chondrosarcomas. Analysis of the tumor immune microenvironment revealed distinct metabolic and immune landscapes between the ALT-like and non-ALT-like groups. Single-cell analysis showed that high-entropy stem-like cells in high-grade chondrosarcomas predominantly adopted telomerase activation over the ALT pathway as their TMM. Additionally, we identified a 100-gene signature that reliably distinguishes ALT-like chondrosarcomas, providing a robust molecular marker for classification and prognosis.

CONCLUSIONS

Our study reveals ALT-like state as a marker of favorable prognosis in chondrosarcomas-contrasting with its typically adverse implications in other sarcomas. We establish a robust 100-gene signature that reliably identifies ALT-like chondrosarcomas and characterize their distinct immune microenvironment profile.

Clinicopathological Correlates of Hormone Expression-Based Subtypes of Non-Functioning Duodenal/Ampullary Neuroendocrine Tumors: A Multicenter Study of 151 Cases

Duodenal neuroendocrine tumors (Duo-NETs) may arise in the ampullary and non-ampullary duodenum. Non-functioning Duo-NETs (NF-Duo-NETs), which account for most cases, may express various hormones. Previous studies have suggested that hormone production might be associated with biological aggressiveness. Current treatment protocols are based on functionality, tumor size, and location, but small NF-Duo-NETs may also have metastatic potential. We aimed to investigate whether tumor cell subtyping, based on hormone expression, could provide further insights into NF-Duo-NET biological behavior. We analyzed the clinico-pathological correlates of hormone expression in a multicenter series of 151 NF-Duo-NETs, subdividing tumors into five subtypes: gastrin-producing G-cell NETs (Gas-NETs), somatostatin-producing D-cell NETs (Som-NETs), serotonin-producing enterochromaffin-cell NETs (Ser-NETs), plurihormonal NETs, and gastrin-, somatostatin-, and serotonin-negative NETs (GSSN-NETs). Som-NETs were the most frequent (31%), followed by plurihormonal NETs (26%), Gas-NETs (24%), GSSN-NETs (13%), and Ser-NETs (4%). Som-NETs and GSSN-NETs were more commonly located in the ampullary region and showed significantly larger size, more frequent lymphatic and/or vascular invasion, and higher pT, pN, and American Joint Committee on Cancer (AJCC-9th edition) stages compared to Gas-NETs, which were often (77%) diagnosed at AJCC stage I. Ampullary Som-NETs showed a more invasive and metastatic potential compared to non-ampullary Som-NETs, while, among plurihormonal NETs, the predominantly expressed hormone influenced tumor biological features, with gastrin-predominant NETs showing less invasive potential. At logistic regression, both tumor cell subtype and tumor size were independently associated with aggressiveness (pT3, pN1, or pM1 stage at diagnosis). Hormonal expression profiling may be clinically relevant in NF-Duo-NETs, independently of tumor size.

Preoperative radiomics models using CT and MRI for microsatellite instability in colorectal cancer: a systematic review and meta-analysis

OBJECTIVE

Microsatellite instability (MSI) is a novel predictive biomarker for chemotherapy and immunotherapy response, as well as prognostic indicator in colorectal cancer (CRC). The current standard for MSI identification is polymerase chain reaction (PCR) testing or the immunohistochemical analysis of tumor biopsy samples. However, tumor heterogeneity and procedure complications pose challenges to these techniques. CT and MRI-based radiomics models offer a promising non-invasive approach for this purpose.

MATERIALS AND METHODS

A systematic search of PubMed, Embase, Cochrane Library and Scopus was conducted to identify studies evaluating the diagnostic performance of CT and MRI-based radiomics models for detecting MSI status in CRC. Pooled area under the curve (AUC), sensitivity, and specificity were calculated in RStudio using a random-effects model. Forest plots and a summary ROC curve were generated. Heterogeneity was assessed using I² statistics and explored through sensitivity analyses, threshold effect assessment, subgroup analyses and meta-regression.

RESULTS

17 studies with a total of 6,045 subjects were included in the analysis. All studies extracted radiomic features from CT or MRI images of CRC patients with confirmed MSI status to train machine learning models. The pooled AUC was 0.815 (95% CI: 0.784-0.840) for CT-based studies and 0.900 (95% CI: 0.819-0.943) for MRI-based studies. Significant heterogeneity was identified and addressed through extensive analysis.

CONCLUSION

Radiomics models represent a novel and promising tool for predicting MSI status in CRC patients. These findings may serve as a foundation for future studies aimed at developing and validating improved models, ultimately enhancing the diagnosis, treatment, and prognosis of colorectal cancer.

A novel tumor budding and cell nest size-based grading system outperforms conventional methods in vulvar squamous cell carcinoma

The tumor budding and tumor cell nest size-based (TBNS) grading scheme is an emerging prognostic indicator for squamous cell carcinoma (SCC) across various organs; however, its significance in vulvar SCC (VSCC) remains poorly investigated. In this study, we applied the TBNS grading system to an institutional cohort of 62 consecutive surgically resected VSCC cases (39 HPV-independent and 23 HPV-associated), excluding patients with neoadjuvant chemotherapy or FIGO stage IA disease. High tumor budding activity, small cell nest size, and high TBNS grade were significantly associated with reduced overall survival (OS) and disease-free survival (DFS) in VSCC, as well as with adverse clinicopathologic features such as lymphovascular space invasion, perineural involvement, lymph node metastasis, and advanced FIGO stage (p < 0.05). Multivariate analysis revealed that TBNS grade 3 was independently associated with reduced DFS (p < 0.05). In contrast, among the two conventional grading systems, only the Gynecology Oncology Group grading system showed a significant association with OS in univariate analysis (p < 0.05), but not in multivariate analysis (p > 0.05). We conclude that the TBNS grading system is a promising prognostic indicator for VSCC, outperforming conventional grading systems. Further validation in larger cohorts is needed to expand the clinical applicability of this grading system in VSCC.