Open Gastric Surgery for Gastric Cancer

Gastric cancer is a leading cause of cancer and cancer-related mortality worldwide, especially in East Asia. It is often diagnosed at an advanced stage, which carries a poor prognosis. Patients with advanced gastric cancer typically receive systemic therapy and best supportive care. For patients with locally advanced gastric cancer, a combination of systemic therapy and surgical resection is recommended, while surgical resection-alone is recommended for patients with early-stage localized tumors. Surgical resection, including total gastrectomy, distal gastrectomy, and proximal gastrectomy, is recommended for resection of localized tumors based on tumor location. Herein, the authors provide an overview of open gastrectomy resection and reconstruction techniques.

A Triple-Mismatch Differentiating assay exploiting activation and trans cleavage of CRISPR-Cas12a for mutation detection with ultra specificity and sensitivity

Liquid biopsy technology is non-invasive and convenient, and is currently an emerging technology for cancer screening. Among them, clustered regularly interspaced short palindromic repeats (CRISPR)-CRISPR associated protein 12a (Cas12a) based nucleic acid detection technology has the advantages of high sensitivity, rapidity, and easy operation. However, CRISPR-Cas12a does not discriminate single-base mismatches of targets well enough to meet the needs of clinical detection. Herein, we developed the Triple-Mismatch Differentiating (TMD) assay. This assay amplified the small thermodynamic difference in mismatches at one site at the level of CRISPR-Cas12a activation to a significant thermodynamic difference at three sites at both the level of CRISPR-Cas12a activation and trans-cleavage, which greatly improves the ability of CRISPR-Cas12a to discriminate between base mismatches. Our manipulation greatly improved the specificity of the CRISPR-Cas12a system while maintaining its inherent sensitivity and simplicity, increasing the detection limit to 0.0001%. When testing samples from pancreatic cancer patients, our results were highly consistent with NGS sequencing results. We believe that the TMD assay will provide a new technology for early cancer detection and will be widely used in the clinical practice.

Pre-treatment of hyponatremia as a biomarker for poor immune prognosis in advanced or metastatic gastric cancer: A retrospective case analysis

Hyponatremia, a prevalent electrolyte imbalance among tumor patients, has often been overlooked regarding its prognostic significance for immunotherapy. In this study, we delved into the prognostic ramifications of hyponatremia in advanced gastric cancer (AGC) patients undergoing immunotherapy. Enrolling AGC patients diagnosed between December 2014 and May 2021, we extracted pertinent data from electronic medical records, with a median follow-up of 35.8 months. Kaplan-Meier curves illuminated patients' progression-free survival (PFS) and overall survival (OS), while survival disparities were tested using the Mantel-Haenszel log rank test. COX and logistic regressions were employed to scrutinize the correlation between serum sodium levels and prognosis in 268 AGC patients, both at baseline and during treatment. Notably, patients with hyponatremia exhibited shorter PFS (4.7 vs 2.1 months, p = .001*) and OS (12.5 vs 3.9 months, p < .001*). Serum sodium emerged as an independent prognostic factor for both PFS (HR = 1.773; 95% CI 1.067-2.945; p = .001*) and OS (HR = 1.773; 95% CI 1.067-2.945; p = .003*). Subgroup analysis revealed that AGC patients with hyponatremia derived no benefit from immunotherapy in terms of PFS and OS. Strikingly, a decrease in serum sodium during immunotherapy was associated with early relapse and mortality. Based on these findings, we hypothesize that hyponatremia portends poor prognostic outcomes in AGC patients treated with immunotherapy and may serve as a valuable prognostic biomarker. However, further large-scale prospective studies are warranted to validate these observations.

Oncometabolites in pancreatic cancer: Strategies and its implications

Pancreatic cancer (PanCa) is a catastrophic disease, being third lethal in both the genders around the globe. The possible reasons are extreme disease invasiveness, highly fibrotic and desmoplastic stroma, dearth of confirmatory diagnostic approaches and resistance to chemotherapeutics. This inimitable tumor microenvironment (TME) or desmoplasia with excessive extracellular matrix accumulation, create an extremely hypovascular, hypoxic and nutrient-deficient zone inside the tumor. To survive, grow and proliferate in such tough TME, pancreatic tumor and stromal cells transform their metabolism. Transformed glucose, glutamine, fat, nucleotide metabolism and inter-metabolite communication between tumor and TME in synergism, impart therapy resistance, and immunosuppression in PanCa. Thus, a finer knowledge of altered metabolism would uncover its metabolic susceptibilities. These unique metabolic targets may help to device novel diagnostic/prognostic markers and therapeutic strategies for better management of PanCa. In this review, we sum up reshaped metabolic pathways in PanCa to formulate detection and remedial strategies of this devastating disease.

Optimal control of combination immunotherapy for a virtual murine cohort in a glioblastoma-immune dynamics model

The immune checkpoint inhibitor anti-PD-1, commonly used in cancer immunotherapy, has not been successful as a monotherapy for the highly aggressive brain cancer glioblastoma. However, when used in conjunction with a CC-chemokine receptor-2 (CCR2) antagonist, anti-PD-1 has shown efficacy in preclinical studies. In this paper, we aim to optimize treatment regimens for this combination immunotherapy using optimal control theory. We extend a treatment-free glioblastoma-immune dynamics ODE model to include interventions with anti-PD-1 and the CCR2 antagonist. An optimized regimen increases the survival of an average mouse from 32 days post-tumor implantation without treatment to 111 days with treatment. We scale this approach to a virtual murine cohort to evaluate mortality and quality of life concerns during treatment, and predict survival, tumor recurrence, or death after treatment. A parameter identifiability analysis identifies five parameters suitable for personalizing treatment within the virtual cohort. Sampling from these five practically identifiable parameters for the virtual murine cohort reveals that personalized, optimized regimens enhance survival: 84% of the virtual mice survive to day 100, compared to 60% survival in a previously studied experimental regimen. Subjects with high tumor growth rates and low T cell kill rates are identified as more likely to die during and after treatment due to their compromised immune systems and more aggressive tumors. Notably, the MDSC death rate emerges as a long-term predictor of either disease-free survival or death.

SMS2 siRNA inhibits pancreatic tumor growth by tumor microenvironment modulation

The massive infiltration of suppressor immune cells within the tumor microenvironment (TME) of pancreatic ductal adenocarcinoma (PDAC) is a major cause of treatment resistance. Reducing this infiltration may represent a potentially effective therapeutic strategy. Sphingomyelin synthase 2 (SMS2) is a crucial enzyme for sphingomyelin synthesis, contributing significantly to the integrity and function of the plasma membrane. In this study, we developed a self-assembling SMS2 siRNA gene expression plasmid for in vivo delivery. The SMS2 siRNA specifically inhibits SMS2 expression while preserving the expression and activity of SMS1. Administration of the self-assembling SMS2 siRNA suppresses tumor growth in a murine model of Panc02 pancreatic carcinoma, modulates the polarization of tumor-associated macrophages (TAMs), and reduces the infiltration of tumor-associated neutrophils (TANs) by regulating the NF-κB/CXCL5 pathway. Consequently, utilizing SMS2 siRNA to improve the local immunosuppressive microenvironment holds promise for pancreatic cancer therapy.

Comprehensive needs assessment tool for informal cancer caregivers (CNAT-ICs): Instrument development and cross-sectional validation study

Background

Growing cancer incidence and its subsequent burden is a worldwide concern. Needs assessment for caregivers has recently received growing attention, as it identifies specific unmet needs. The remaining tools have been established within the healthcare context of Western countries and have been studied only in some Asian populations; it seems appropriate to develop needs assessment tools that apply to a wider ethnic and socio-cultural context.

Objective

This study planned to adapt and examine the psychometric properties of the CNAT-C for the Sri Lankan informal caregivers for wider applicability.

Design

An instrument development and cross-sectional validation study was conducted.

Setting

Apeksha Hospital Maharagama, Sri Lanka (National Cancer Institute).

Participants

A sample of 226 informal caregivers (ICs) providing palliative care for patients with advanced cancer was selected.

Methods

A CNAT-C (41 items; seven factors) was incorporated and used after a cross-cultural adaptation following WHO guidelines after the permission and pilot test. ICs completed the socio-demographic and clinical details along with the validated Centre for Epidemiological Studies-Depression (CES-D), and the World Health Organization-Quality of Life-Brief (WHOQOL-BREF). Internal consistency and test-retest were used to check the reliability. Convergent and divergent validity of the Sinhala version of CNAT (S-CNAT) was confirmed using the CES-D scale and WHOQOL-BREF. Construct validity was evaluated using the exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).

Results

Most of the participants were female (60 %) and married (72 %), and the mean age was 41.78 (SD+14.54). Face and content validity were established during the cross-cultural adaptation. Cronbach's alpha was 0.903 for the overall S-CNAT and the test-retest reliability was 0.965. The S-CNAT was associated positively with the CES-D while negatively with the WHOQOL-BREF. Both EFA and CFA discovered a structure contained seven factors (35 items); domain named as healthcare staff/nurses' support and information, physical/practical needs, medical officers' support, psychological needs, social/family support, spiritual/religious support, and hospital facilities/service.

Conclusions

The Sinhala version of CNAT is shown to have adequate validity and reliability in assessing the comprehensive and multidimensional/unmet needs of informal caregivers of patients with advanced cancer (S-CNAT-ICs). It would be a helpful tool to determine the unmet needs of ICs and guide future interventions to meet those needs and enhance or maintain the quality of life for patients and their informal caregivers.

Textural heterogeneity of liver lesions in CT imaging - comparison of colorectal and pancreatic metastases

PURPOSE

Tumoral heterogeneity poses a challenge for personalized cancer treatments. Especially in metastasized cancer, it remains a major limitation for successful targeted therapy, often leading to drug resistance due to tumoral escape mechanisms. This work explores a non-invasive radiomics-based approach to capture textural heterogeneity in liver lesions and compare it between colorectal cancer (CRC) and pancreatic cancer (PDAC).

MATERIALS AND METHODS

In this retrospective single-center study 73 subjects (42 CRC, 31 PDAC) with 1291 liver metastases (430 CRC, 861 PDAC) were segmented fully automated on contrast-enhanced CT images by a UNet for medical images. Radiomics features were extracted using the Python package Pyradiomics. The mean coefficient of variation (CV) was calculated patient-wise for each feature to quantify the heterogeneity. An unpaired t-test identified features with significant differences in feature variability between CRC and PDAC metastases.

RESULTS

In both colorectal and pancreatic liver metastases, interlesional heterogeneity in imaging can be observed using quantitative imaging features. 75 second-order features were extracted to compare the varying textural characteristics. In total, 18 radiomics features showed a significant difference (p < 0.05) in their expression between the two malignancies. Out of these, 16 features showed higher levels of variability within the cohort of pancreatic metastases, which, as illustrated in a radar plot, suggests greater textural heterogeneity for this entity.

CONCLUSIONS

Radiomics has the potential to identify the interlesional heterogeneity of CT texture among individual liver metastases. In this proof-of-concept study for the quantification and comparison of imaging-related heterogeneity in liver metastases a variation in the extent of heterogeneity levels in CRC and PDAC liver metastases was shown.

Clinical and Pathologic Response to Neoadjuvant Immunotherapy in DNA Mismatch Repair Protein-Deficient Gastroesophageal Cancers

BACKGROUND

Mismatch repair deficient (dMMR) gastroesophageal cancers (GEC) are a distinct subgroup. Among patients with locally advanced disease, previous trial data suggest a good response to neoadjuvant immune checkpoint inhibitors (nICI).

PATIENTS AND METHODS

Since 2019, our institution has routinely performed MMR testing for new GEC cases. Patients diagnosed with GEC (2019-2024) were included in the study. Quantitative data are described as the median and interquartile range (IQR); qualitative data are described as quantities and percentages.

RESULTS

A total of 24 patients with dMMR GEC were identified following implementation of routine immunohistochemical testing; 14 were potentially resectable with a median follow-up of 14 months (IQR 8-27). All patients underwent pre-treatment positron emission tomography (PET; median SUV 20.9). Among the 14 potentially resectable patients, 4 underwent immediate surgery, 10 were treated with nICI, and 5 underwent surgical resection to date. All regimens included PD-1 inhibitors, with 70% receiving pembrolizumab. Re-staging PET was performed in five patients; the median post-nICI SUV was 5.1 (range 4.7-6.3). All resected specimens had gross ulceration after nICI, but 60% (N = 3) had a pathologic complete response (pCR) following nICI; one patient had a near-complete response (nCR) and one patient had a partial response (pPR). Reduction in SUV was 75% and 82% in the pCR patients, 25% in the nCR patient, and 43% in the pPR patient.

CONCLUSIONS

dMMR GECs are responsive to nICI in this limited experience, mirroring early clinical trial data. Given persistent metabolic activity and visible ulceration despite pCR, studies should continue to optimize tools for estimating post-nICI pCR in these patients.

Diagnostic and therapeutic strategies in pancreatic adenosquamous carcinoma: Molecular and clinical insights in managing metastatic disease

Adenosquamous carcinoma of the pancreas (ASCP) is a rare and aggressive variant of pancreatic cancer, characterized by both adenocarcinoma and squamous cell carcinoma components. It presents significant diagnostic and therapeutic challenges due to its atypical histology and poor prognosis. A 72-year-old male presented with abdominal pain, lighter-colored stools, and intermittent nausea. Initial imaging revealed a complex mass in the distal pancreatic body and tail. Elevated lipase levels and subsequent endoscopic ultrasound-guided fine-needle biopsy (EUS-FNB) suggested an atypical pancreatic lesion with keratinizing squamous cells. Further investigation through fiberoptic bronchoscopy and EBUS-guided transbronchial needle aspiration (TBNA) confirmed carcinoma with squamous differentiation. Genetic testing identified KRAS G12D and PIK3CA mutations. The multidisciplinary tumor board recommended systemic chemotherapy with mFOLFIRINOX and G-CSF support. The patient underwent twelve cycles of mFOLFIRINOX with dose adjustments for thrombocytopenia and effective management of chemotherapy-related side effects. Restaging CT scans showed a decrease in tumor size and stable metastatic nodes. The patient showed a partial biochemical response with decreasing CA 19-9 levels and disease stabilization on imaging. This case demonstrates the critical role of a multidisciplinary approach in managing rare pancreatic malignancies. ASCP requires a comprehensive diagnostic and therapeutic strategy involving advanced imaging, histopathological confirmation, and personalized chemotherapy. Integrating advanced diagnostic techniques, molecular profiling, and a multidisciplinary approach is essential for improving patient outcomes and providing comprehensive care for this challenging malignancy. Addressing the psychological aspects and offering compassionate care are vital for supporting patients through their treatment journey.

From Gut to Brain: Unraveling the Intricate Link Between Microbiome and Stroke

Stroke, a neurological disorder, is intricately linked to the gut microbiota, influencing microbial composition and elevating the risk of ischemic stroke. The neuroprotective impact of short-chain fatty acids (SCFAs) derived from dietary fiber fermentation contrasts with the neuroinflammatory effects of lipopolysaccharide (LPS) from gut bacteria. The pivotal role of the gut-brain axis, facilitating bidirectional communication between the gut and the brain, is crucial in maintaining gastrointestinal equilibrium and influencing cognitive functions. An in-depth understanding of the interplay among the gut microbiota, immune system, and neurological outcomes in stroke is imperative for devising innovative preventive and therapeutic approaches. Strategies such as dietary adjustments, probiotics, prebiotics, antibiotics, or fecal transplantation offer promise in modulating stroke outcomes. Nevertheless, comprehensive research is essential to unravel the precise mechanisms governing the gut microbiota's involvement in stroke and to establish effective therapeutic interventions. The initiation of large-scale clinical trials is warranted to assess the safety and efficacy of interventions targeting the gut microbiota in stroke management. Tailored strategies that reinstate eubiosis and foster a healthy gut microbiota hold potential for both stroke prevention and treatment. This review underscores the gut microbiota as a promising therapeutic target in stroke and underscores the need for continued research to delineate its precise role and develop microbiome-based interventions effectively.

SPOCK: Master regulator of malignant tumors (Review)

SPARC/osteonectin, CWCV and Kazal‑like domain proteoglycan (SPOCK) is a family of highly conserved multidomain proteins. In total, three such family members, SPOCK1, SPOCK2 and SPOCK3, constitute the majority of extracellular matrix glycoproteins. The SPOCK gene family has been demonstrated to serve key roles in tumor regulation by affecting MMPs, which accelerates the progression of cancer epithelial‑mesenchymal transition. In addition, they can regulate the cell cycle via overexpression, inhibit tumor cell proliferation by inactivating PI3K/AKT signaling and have been associated with numerous microRNAs that influence the expression of downstream genes. Therefore, the SPOCK gene family are potential cancer‑regulating genes. The present review summarizes the molecular structure, tissue distribution and biological function of the SPOCK family of proteins, in addition to its association with cancer. Furthermore, the present review documents the progress made in investigations into the role of SPOCK, whilst also discussing prospects for the future of SPOCK‑targeted therapy, to provide novel ideas for clinical application and treatment.

Comparison of short‑term outcomes and 3-year overall survival between robotic and laparoscopic gastrectomy for gastric cancer: a propensity score matching analysis

BACKGROUND

Despite the increasing use of robotic gastrectomy (RG) as an alternative to laparoscopic gastrectomy (LG) in treating gastric cancer, controversy remains over the advantages of RG compared to LG and there is a paucity of studies comparing the two techniques regarding patient survival.

METHODS

In this retrospective cohort study, 675 patients undergoing minimally invasive gastrectomy were recruited from January 2016 to January 2018 (LG: n = 567; RG: n = 108). A one-to-one propensity score matching (PSM) analysis was applied to minimize the selection bias due to confounding factors, yielding 104 patients in each of the RG and LG groups. After matching, the short-term outcomes and 3-year overall survival were compared in the two groups.

RESULTS

The PSM cohort analysis showed a similar 3-year overall survival between RG and LG groups (p = .249). Concerning the short-term outcomes, the RG compared to LG resulted in lower blood loss (p = .01), lower postoperative complications (p = .001), lower postoperative pain (p = .016), earlier initiation of soft diet (p = .011), shorter hospital stay ‌(p = .012), but higher hospitalization expenses (p = .001).

CONCLUSION

Our findings suggest that RG may offer advantages in terms of blood loss, surgical complications, recovery time, and pain management compared to LG while maintaining similar overall survival rates. However, RG is associated with higher hospital costs, potentially limiting its wider adoption. Further research, including large, multi-center randomized controlled trials with longer patient follow-up, particularly for advanced gastric cancer, is needed to confirm these findings.

GCclassifier: An R package for the prediction of molecular subtypes of gastric cancer

Gastric cancer (GC) is one of the most commonly diagnosed malignancies, threatening millions of lives worldwide each year. Importantly, GC is a heterogeneous disease, posing a significant challenge to the selection of patients for more optimized therapy. Over the last decades, extensive community effort has been spent on dissecting the heterogeneity of GC, leading to the identification of distinct molecular subtypes that are clinically relevant. However, so far, no tool is publicly available for GC subtype prediction, hindering the research into GC subtype-specific biological mechanisms, the design of novel targeted agents, and potential clinical applications. To address the unmet need, we developed an R package GCclassifier for predicting GC molecular subtypes based on gene expression profiles. To facilitate the use by non-bioinformaticians, we also provide an interactive, user-friendly web server implementing the major functionalities of GCclassifier. The predictive performance of GCclassifier was demonstrated using case studies on multiple independent datasets.

Application of imaging technology for the diagnosis of malignancy in the pancreaticobiliary duodenal junction (Review)

The pancreaticobiliary duodenal junction (PBDJ) is the connecting area of the pancreatic duct, bile duct and duodenum. In a broad sense, it refers to a region formed by the head of the pancreas, the pancreatic segment of the common bile duct and the intraduodenal segment, the descending and the horizontal part of the duodenum, and the soft tissue around the pancreatic head. In a narrow sense, it refers to the anatomical Vater ampulla. Due to its complex and variable anatomical features, and the diversity of pathological changes, it is challenging to make an early diagnosis of malignancy at the PBDJ and define the histological type. The unique anatomical structure of this area may be the basis for the occurrence of malignant tumors. Therefore, understanding and subclassifying the anatomical configuration of the PBDJ is of great significance for the prevention and treatment of malignant tumors at their source. The present review comprehensively discusses commonly used imaging techniques and other new technologies for diagnosing malignancy at the PBDJ, offering evidence for physicians and patients to select appropriate examination methods.

Weifuchun suppresses the malignancy of gastric cancer cells by targeting KPNA2 through miR-26a-5p-mediated destabilization and the deactivation of the MAPK signaling pathway

ETHNOPHARMACOLOGICAL RELEVANCE

Weifuchun (WFC) is a Traditional Chinese Medicine commonly used for treating atrophic gastritis and intestinal metaplasia. Till date, its antitumor effect on gastric cancer (GC) and the underlying mechanisms of the effect remains unelucidated.

AIM OF THE STUDY

We aim to investigate if WFC can suppress the malignancy of stomach cancer cells and dissect the molecular basis and the associated molecular and cellular features.

MATERIALS AND METHODS

Stomach cancer cell lines and normal gastric epithelial cells were treated with WFC. CCK8 assay, caspase-3 activity assay, adhesion assay, microRNA database analysis, transfection, RT-PCR, Western Blotting, signaling pathway analysis, and in vivo GC model were employed to examine the changes in the features of the gastric cancer cells and the molecular mechanisms of the effect of WFC.

RESULTS

Here we present data demonstrating that WFC suppresses the malignant cellular phenotypes of GC and this inhibitory effect is mediated by downregulating the expression of oncogenic KPNA2. Furthermore, WFC downregulates KPNA2 through miR-26a-5p-mediated gene silencing and the deactivated phosphorylation dynamics of mitogen-activated protein kinase (MAPK). The suppressive effect of WFC on stomach cancer cell behavior was further confirmed in animal model.

CONCLUSION

Therefore, WFC can exert inhibitory effect on the malignancy of GC cells by reducing the levels of KPNA2. Moreover, the miR-26a-5p rescue and the deactivation MAPK pathway induced by WFC result in the downregulation of KPNA2 expression. Thus, our findings suggest WFC as a potential treatment option against GC.

Prediction of 12-month recurrence of pancreatic cancer using machine learning and prognostic factors

BACKGROUND AND AIM

Pancreatic cancer is lethal and prevalent among other cancer types. The recurrence of this tumor is high, especially in patients who did not receive adjuvant therapies. Early prediction of PC recurrence has a significant role in enhancing patients' prognosis and survival. So far, machine learning techniques have given us insight into favorable performance efficiency in various medical domains. So, this study aims to establish a prediction model based on machine learning to achieve better prediction on this topic.

MATERIALS AND METHODS

In this retrospective research, we used data from 585 PC patient cases from January 2019 to November 2023 from three clinical centers in Tehran City. Ten chosen ensemble and non-ensemble algorithms were used to establish prediction models on this topic.

RESULTS

Random forest and support vector machine with an AU-ROC of approximately 0.9 obtained more performance efficiency regarding PC recurrence. Lymph node metastasis, tumor size, tumor grade, radiotherapy, and chemotherapy were the best factors influencing PC recurrence.

CONCLUSION

Random forest and support vector machine algorithms demonstrated high-performance ability and clinical usability to improve doctors' decisions in achieving different therapeutic and diagnostic measures.

Medication adherence and quality of life among geriatric patients: Insights from a hospital-based cross-sectional study in India

BACKGROUND

Understanding the factors that influence medication adherence and the multidimensional aspects of quality of life in the elderly is of paramount importance in enhancing their overall well-being. Since geriatric patients usually suffer from multiple morbidities due to their declining age, the adherence towards their medications plays a very crucial role in their quality of life.

METHODOLOGY

This cross-sectional study explores the intricate relationship between medication adherence and quality of life among 310 elderly patients at a single medical college and hospital. Participants completed the Morisky Medication Adherence Scale (MMAS-8) to assess medication adherence and the World Health Organization Quality of Life-BREF (WHOQOL-BREF) questionnaire, which comprises four domains (physical health, psychological health, social relationships, and environment) to evaluate quality of life. Statistical analyses, including correlations, paired t-tests, ANOVA, and Backward Multiple Linear Regression, were employed to examine the relationships and differences among variables.

RESULTS

The findings indicate varying levels of medication adherence among participants, with a significant proportion exhibiting medium adherence (47.1%) and highlighting the need for interventions to address challenges in medication adherence among the elderly population. Notably, gender emerged as a significant factor influencing quality of life, with males reporting higher satisfaction across all domains compared to females. Medication adherence exhibited a significant correlation with the social relationships domain (DOM3) of the WHOQOL-BREF, underlining the importance of adherence in fostering positive social interactions.

CONCLUSION

Our study revealed a significant association between medication adherence (MMAS- 8) and the quality of life (WHOQOL-BREF) among elderly patients. We also observed noteworthy gender differences in quality-of-life perceptions. It emphasizes the need for tailored interventions that consider medication adherence issues to enhance the overall quality of life among this vulnerable population.

Investigation of the efficacy of siRNA-mediated KRAS gene silencing in pancreatic cancer therapy

Aim

Pancreatic carcinoma is an aggressive cancer that progresses without many symptoms. The difficulty of early diagnosis and an inadequate response to traditional treatments also cause the survival rate of pancreatic cancer to be low. Current research is focusing on methods of diagnosis and treatment, such as gene therapy, to increase survival rates. Small interfering ribonucleic acid (siRNA) has emerged as a promising advanced therapeutic strategy for cancer treatment. This study sought to silence the KRAS gene in the human pancreatic carcinoma cell line using a complex of small interfering ribonucleic acid (siRNA) and gold nanoparticles (AuNP).

Methods

In this study, 25 nM siRNA and gold nanoparticles at 0.5 mg/ml, 0.25 mg/ml, and 0.125 mg/ml concentrations were used to silence the KRAS gene in the CAPAN-1 cell line. Real-time PCR analysis, agarose gel electrophoresis, and double staining were carried out, and xCelligence real-time cell analysis (RTCA) was used to measure proliferation.

Results

The PCR analysis revealed crossing point (CP) values of actin beta (ACTB) ranging from 33.04 to 35.98, which was in the expected range for all samples. The interaction between the gold nanoparticle/siRNA complex in the double staining analysis revealed that the most effective concentration of gold nanoparticle was 0.125 mg/ml. The WST-1 technique showed that siRNA/AuPEI cells in application groups had a viability rate of over 90%, indicating no toxicity or side effects. The xCELLigence RTCA® showed that at hour 72, there was a significant difference in proliferation in the 0.5 mg/mL PEI/AuNP-siRNA, 0.25 mg/mL PEI/AuNP-siRNA, and 0.125 mg/mL PEI/AuNP-siRNA application groups compared to the control and siRNA groups (p < 0.05). By hour 96, all three groups were statistically different from the control and siRNA groups in terms of proliferation (p < 0.05).

Conclusions

The results of this analysis suggest that the AuPEI/siRNA complex can be effectively used to silence the target gene, but more studies are needed to verify these results.

Long non-coding RNAs in pancreatic cancer

This article reviews the recent advances in pathogenesis, diagnosis and treatment of pancreatic cancer, as well as the relationship between long non-coding RNA (lncRNA) in disease progression. Unfortunately, pancreatic cancer has no early symptoms and quickly invades surrounding tissue and organs, making it one of the deadliest. Accordingly, we urgently need to identify high-risk individuals with precancerous lesions through screening methods to identify early disease, provide better prevention strategies and improve overall survival. LncRNAs have a variety of biological functions in both physiologic and pathophysiologic states including tumor growth, differentiation and proliferation. Herein we review the biological functions, expression patterns, clinical significance and targeted therapy potential of lncRNAs to provide new approaches for diagnosis and treatment in pancreatic cancer.

Expression of Salivary miRNAs, Clinical, and Demographic Features in the Early Detection of Gastric Cancer: A Statistical and Machine Learning Analysis

OBJECTIVE

Gastric cancer ranks as one of the top five deadliest cancers worldwide and is often diagnosed at late stages. Analysis of saliva may provide a non-invasive approach for detection of malignancies in organs associated with the oral cavity. This research aims to analyze salivary microRNA expression together with clinical and demographic features with the aim of diagnosing gastric cancer.

MATERIALS

The study included 19 patients with early-stage gastric cancer and 19 healthy controls. Saliva samples were collected and processed for RNA isolation. Salivary expression of miR-223-3p and miR-21-5p were measured using quantitative reverse-transcription polymerase chain reaction (RT-qPCR). Receiver operating characteristic (ROC) curves were generated to evaluate the accuracy of diagnostic models. Machine learning algorithms, multiple logistic regression, and principal component analysis (PCA) were used to assess the predictive power of miRNAs in conjunction with clinical-demographic features.

RESULTS

Significant upregulation of miR-223-3p and downregulation of miR-21-5p in saliva were observed in patients with gastric cancer. The area under ROC curve (AUC) values for salivary miR-21-5p, salivary miR-223-3p, and their multiple logistic regression were determined to be 0.723, 0.791, and 0.850, respectively. The AUC for multiple logistic regression model was 0.919. The PCA model led to the highest diagnostic odds ratio (DOR) of 134.33 (sensitivity = 0.785, specificity = 1.00, AUC = 903). Application of machine learning methods, and in particular a random forest algorithm, showed high accuracy in diagnosing patients with gastric cancer (sensitivity = 1.00, specificity = 0.857, AUC = 0.93).

CONCLUSION

The application of validated salivary diagnostics in clinical practice could help facilitate earlier diagnosis of gastric cancer and improve medical outcome. Expression of miR-21 and miR-223-3p in saliva together with clinical and demographic features, appears promising in screening for GC.

Investigation of Programmed Death Ligand-1 as a New Prognostic Biomarker in Pancreatic Cancer Patients

Pancreatic cancer is one of the most lethal and fast-growing cancers with a poor prognosis. Herein, we report the expression of programmed death ligand 1 (PD-L1) as a new prognostic biomarker in pancreatic cancer progression analysis at the clinical level. Immunohistochemistry was performed on 86 clinically proven cases of pancreatic cancer tissue microarrays (TMAs) using anti-PD-L1 antibodies. Histoscore was done, and a variety of cutoffs were identified for analyses of the results. The chi-square test and Kaplan-Meier method were used to find the association between pancreatic cancer and various clinicopathological variables and the overall survival of the patients. PD-L1 expression was associated with histological grade and recurrence of the disease for epithelial and stromal staining at 10 histoscores. In addition, PD-L1 expression was strongly associated with lymph node involvement at the stromal 20 histoscore. The tumor stage of pancreatic cancer had an association with PD-L1 expression with epithelial and stromal 20 histoscores for all comparisons. At a stromal 20 histoscore, overall survival in high-low expression of PD-L1 was 7-19 months, and at a nuclear/cytoplasmic 10 histoscore, it was 9-28 months (p = 0.0001), respectively. Overall, PD-L1 overexpression in subcellular compartments was associated with disease aggression phenotypes and poor patient survival. Overexpression of PD-L1 was directly linked to pancreatic cancer progression and a poor survival rate. Therefore, PD-L1 may be used as a prognostic biomarker in the diagnosis, treatment, and management of pancreatic cancer patients.

Exploring tissue permeability of brain tumours in different grades: Insights from pore-scale fluid dynamics analysis

Interstitial fluid (ISF) flow is identified as an essential physiological process that plays an important role in the development and progression of brain tumours. However, the relationship between the permeability of the tumour tissue, a complex porous medium, and the interstitial fluid flow around the tumour cells at the microscale is not well understood. To shed light on this issue, and in the absence of experimental techniques that can provide direct measurements, we develop a computational model to predict the tissue permeability of brain tumours in different grades by analysing the ISF flow at the pore scale. The 3-D geometrical models of tissue extracellular spaces are digitally reconstructed for each grade tumour based on their morphological properties measured from microscopic images. The predictive accuracy of the framework is validated by experimental results reported in the literature. Our results indicate that high-grade brain tumours are less permeable despite their higher porosity, whereas necrotic areas of glioblastoma are more permeable than the viable tumour areas. This implies that tissue permeability is primarily governed by both tissue porosity and the deposition of hyaluronic acid (HA), a key component of the extracellular matrix, while the HA deposition can have a greater effect than macro-level porosity. Parametric studies show that tissue permeability falls exponentially with increasing HA concentration in all grades of brain tumours, and this can be captured using an empirically derived relationship in a quantitative manner. These findings provide an improved understanding of the hydraulic properties of brain tumours and their intrinsic links to tumour microstructure. This work can be used to reveal the intratumoural physiochemical processes that rely on fluid flow and offer a powerful tool to tune textured and porous biomaterials for desired transport properties. STATEMENT OF SIGNIFICANCE: Interstitial fluid flow in the extracellular space of brain tumours plays a crucial role in their progression, development, and response to drug treatments. However, the mechanisms of interstitial fluid transport around tumour cells and the characterization of these microscale transports at the tissue scale to meet clinical requirements are largely unknown. In the absence of advanced experimental techniques to capture these pore-scale transport phenomena, we have developed and validated a computational framework to successfully reveal these phenomena across all grades of brain tumours. For the first time, we have quantitatively determined the tissue permeability of all grades of brain tumours as a function of the concentration of hyaluronic acid, a key component of the extracellular matrix. This framework will enhance our ability to capture the intratumoural physicochemical processes in brain tumours and correlate them with tumour tissue-scale behaviours.

Effect of warm and cold ischemia on pancreaticoduodenectomy specimen following robotic pancreaticoduodenectomy

BACKGROUND

The adoption of robotic pancreaticoduodenectomy (PD) has increased in recent years for the treatment of pancreatic head tumors and periampullary lesions. Some potential benefits seem to be demonstrated; however, obtaining specimens through this method can potentially compromise the diagnosis depending on the timing of the specimen retrieval, and the impact of longer perioperative time on ischemia and autolysis of the surgical specimen has not been analyzed. The aim of this study is to evaluate the histological changes associated with timing of specimen retrieval during robotic PD.

METHODS

A review of histopathology files was performed for all pancreatic specimens collected at our hospital from January 2022 to March 2024. Both warm ischemia time (WIT) and cold ischemia time (CIT) were collected. Histological features related to ischemic damage were evaluated in normal duodenal and pancreatic parenchyma as well as pancreatic tumor, and were graded as: absent, mild, moderate and severe. Univariate and multivariate analyses were performed to determine which variables were associated with moderate and severe ischemic changes.

RESULTS

Sixty surgical specimens were analyzed: 20 open PD, 17 robotic PD with cold ischemia, and 23 robotic PD. Median total WIT was 182 min (open PD 57 min vs. RPD 190 min vs. RPD-CI 198 min; p < 0.001). Median CIT was 760 min (740-835) in samples stored at 4ºC. Univariate analysis showed that longer intraoperative time, male gender and cold ischemia were associated with pancreatic tissue ischemic changes. In multivariate analysis, cold ischemia was the only independent factor associated with normal pancreatic tissue and tumor tissue moderate and severe ischemic changes.

CONCLUSIONS

Prolonged ischemia time, especially in the case of cold storage, has a strong effect on the degradation of normal and tumor tissue without affecting pathological evaluation. Operative teams should aim to optimize both the duration and efficiency of the surgical procedure, ensuring minimal ischemic time. Simultaneously, pathology departments must be equipped to process pancreatic specimens promptly, with protocols in place to minimize the time between resection and analysis.

Molecular hybridization assisted multi-technique approach for designing USP21 inhibitors to halt catalytic triad-mediated nucleophilic attack and suppress pancreatic ductal adenocarcinoma progression: A molecular dynamics study

AIMS

Pancreatic cancer, the 12th-most common cancer, globally, is highly challenging to treat due to its complex epigenetic, metabolic, and genomic characteristics. In pancreatic ductal adenocarcinoma, USP21 acts as an oncogene by stabilizing the long isoform of Transcription Factor 7, thereby activating the Wnt signaling pathway. This study aims to inhibit activation of this pathway through computer-aided drug discovery. Accordingly, four libraries of compounds were designed to target the USP21's catalytic domain (Cys221, His518, Asp534), responsible for its deubiquitinating activity.

MAIN METHODS

Utilizing an array of computer-aided drug design methodologies, such as molecular docking, virtual screening, principal component analysis, molecular dynamics simulation, and dynamic cross-correlation matrix, the structural and functional characteristics of the USP21-inhibitor complex were examined. Following the evaluation of the binding affinities, 20 potential ligands were selected, and the best ligand was subjected to additional molecular dynamics simulation study.

KEY FINDINGS

The results indicated that the ligand-bound USP21 exhibited reduced structural fluctuations compared to the unbound form, as evident from RMSD, RMSF, Rg, and SASA graphs. ADMET analysis of the top ligand showed promising pharmacokinetic and pharmacodynamic profiles, good bioavailability, and low toxicity. The stable conformations of the proposed drug when bound to their target cavities indicate a robust binding affinity of -9.3 kcal/mol. The drug exhibits an elevated pKi value of 6.82, a noteworthy pIC50 value of 5.972, and a pKd value of 6.023 proving its high affinity and inhibitory potential towards the target.

SIGNIFICANCE

In-vitro testing of the top compound (MOLHYB-0436) could lead to its use as a potential treatment for pancreatic cancer.

Enhancing MRI brain tumor classification: A comprehensive approach integrating real-life scenario simulation and augmentation techniques

Brain cancer poses a significant global health challenge, with mortality rates showing a concerning surge over recent decades. The incidence of brain cancer-related mortality has risen from 140,000 to 250,000, accompanied by a doubling in new diagnoses from 175,000 to 350,000. In response, magnetic resonance imaging (MRI) has emerged as a pivotal diagnostic tool, facilitating early detection and treatment planning. However, the translation of deep learning approaches to brain cancer diagnosis faces a critical obstacle: the scarcity of public clinical datasets reflecting real-world complexities. This study aims to bridge this gap through a comprehensive exploration and augmentation of training data. Initially, a battery of pre-trained deep models undergoes evaluation on a main brain cancer MRI "BT-MRI" dataset, yielding remarkable performance metrics, including 100% accuracy, precision, recall, and F1-Score, substantiated by the Score-CAM methodology. This initial success underscores the potential of deep learning in brain cancer diagnosis. Subsequently, the model's efficacy undergoes further scrutiny using a supplementary brain cancer MRI "BCD-MRI" dataset, affirming its robustness and applicability across diverse datasets. However, the ultimate litmus test lies in confronting the model with synthetic testing datasets crafted to emulate real-world scenarios. The synthetic testing datasets, a BCD-MRI testing sub-dataset enriched with noise, blur, and simulated patient motion, reveal a sobering reality: the model's performance plummets, exposing inherent limitations in generalization. To address this issue, a diverse set of optimization strategies and augmentation techniques, ranging from diverse optimizers to sophisticated data augmentation methods, are exhaustively explored. Despite these efforts, the problem of generalization persists. The breakthrough emerges with the integration of noise and blur as augmentation techniques during the training process. Leveraging Gaussian noise and Gaussian blur kernels, the model undergoes a transformative evolution, exhibiting newfound robustness and resilience. Retesting the refined model against the challenging synthetic datasets reveals a remarkable transformation, with performance metrics witnessing a notable ascent. This achievement underscores the important role of correct selection of data augmentation in fortifying the generalization of deep learning models for brain cancer diagnosis. This study not only advances the frontiers of diagnostic precision in brain cancer but also underscores the paramount importance of methodological rigor and innovation in confronting the complexities of real-world clinical scenarios.

Unraveling Pancreatic Cancer: Epidemiology, Risk Factors, and Global Trends

Pancreatic cancer is one of the most lethal malignancies, characterized by late diagnosis, rapid progression, and limited treatment options. This literature review comprehensively examines the epidemiology, risk factors, diagnostic challenges, treatment modalities, and prognosis of pancreatic cancer. It highlights the global disparities in incidence and outcomes, exploring the influence of socioeconomic, environmental, and genetic factors on disease progression. In addition, this review discusses recent advancements in diagnostic tools and treatment strategies, identifying gaps in current research and clinical practices. The synthesis aims to inform future research directions and policy-making efforts to reduce the global burden of pancreatic cancer and improve patient outcomes.

A randomized trial of pharmacological ascorbate, gemcitabine, and nab-paclitaxel for metastatic pancreatic cancer

BACKGROUND

Patients with metastatic pancreatic ductal adenocarcinoma (PDAC) have poor 5-year survival. Pharmacological ascorbate (P-AscH-, high dose, intravenous, vitamin C) has shown promise as an adjunct to chemotherapy. We hypothesized adding P-AscH- to gemcitabine and nab-paclitaxel would increase survival in patients with metastatic PDAC.

METHODS

Patients diagnosed with stage IV pancreatic cancer randomized 1:1 to gemcitabine and nab-paclitaxel only (SOC, control) or to SOC with concomitant P-AscH-, 75 g three times weekly (ASC, investigational). The primary outcome was overall survival with secondary objectives of determining progression-free survival and adverse event incidence. Quality of life and patient reported outcomes for common oncologic symptoms were captured as an exploratory objective. Thirty-six participants were randomized; of this 34 received their assigned study treatment. All analyses were based on data frozen on December 11, 2023.

RESULTS

Intravenous P-AscH- increased serum ascorbate levels from micromolar to millimolar levels. P-AscH- added to the gemcitabine + nab-paclitaxel (ASC) increased overall survival to 16 months compared to 8.3 months with gemcitabine + nab-paclitaxel (SOC) (HR = 0.46; 90 % CI 0.23, 0.92; p = 0.030). Median progression free survival was 6.2 (ASC) vs. 3.9 months (SOC) (HR = 0.43; 90 % CI 0.20, 0.92; p = 0.029). Adding P-AscH- did not negatively impact quality of life or increase the frequency or severity of adverse events.

CONCLUSIONS

P-AscH- infusions of 75 g three times weekly in patients with metastatic pancreatic cancer prolongs overall and progression free survival without detriment to quality of life or added toxicity (ClinicalTrials.gov number NCT02905578).

Withania somnifera extract reduces gastric cancerous properties through inhibition of gankyrin in cellular milieu produced by Helicobacter pylori and Epstein Barr virus

Helicobacter pylori and Epstein Barr virus (EBV) are group1 carcinogens and their role in Gastric cancer (GC) is well established. Previously we have shown that H. pylori and EBV appears to support aggressive gastric oncogenesis through the upregulation of oncoprotein Gankyrin. Natural plant active molecules have the potential to interrupt oncogenesis. Herein, we investigated the potential of Withania somnifera root extract (WSE) as a possible chemotherapeutic agent against host oncoprotein Gankyrin whose expression was altered by H. pylori and EBV-associated modified cellular milieu. The results show that WSE does not have any inhibitory effect on H. pylori and EBV-associated gene transcripts except for the lmps (lmp1, lmp2a, and lmp2B). Moreover, the WSE exert their anticancer activity via host cellular response and decreased the expression of cell-migratory (mmp3 and mmp7); cell-cycle regulator (pcna); antiapoptotic gene (bcl2); increased the expression of the proapoptotic gene (apaf1 and bax); and tumor suppressor (p53, prb, and pten). Knockdown of Gankyrin followed by the treatment of WSE also decreases the expression of TNF-ɑ, Akt, and elevated the expression of NFkB, PARP, Casp3, and Casp9. WSE also reduces cell migration, and genomic instability and forced the cells to commit programmed cell death. Moreover, molecular simulation studies revealed that out of eight active compounds of WSE, only four compounds such as withaferin A (WFA), withanoside IV (WA4), withanolide B (WNB), and withanolide D (WND) showed direct stable interaction with Gankyrin. This article reports for the first time that treatment of WSE decreased the cancerous properties through host cellular response modulation in gastric epithelial cells coinfected with H. pylori and EBV.Communicated by Ramaswamy H. Sarma.

Detecting the impact of diagnostic procedures in Pap-positive women on anxiety using artificial neural networks

INTRODUCTION

Women who receive a result of an abnormal Papanicolaou (Pap) smear can fail to participate in follow up procedures, and this is often due to anxiety. This study aimed to apply artificial neural networks (ANN) in prediction of anxiety in women with an abnormal Pap smear test, prior to and following diagnostic procedures.

METHODS

One hundred-seventy two women who received an abnormal Pap screening result took part in this study, completing a questionnaire about socio-demographic characteristics and Hospital Anxiety and Depression Scale (HADS), right before and two to four weeks after diagnostics (i.e. colposcopy/biopsy/endocervical curettage). A feedforward back-propagation multilayer perceptron model was applied in analysis.

RESULTS

Prior to diagnostic procedures 50.0% of women experienced anxiety, while after diagnostics anxiety was present in 61.6% of women. The correlation-based feature selection showed that anxiety prior to diagnostic procedures was associated with the use of sedatives, worry score, depression score, and score for concern about health consequences. For anxiety following diagnostics, predictors included rural place of residence, depression score, history of spontaneous abortion, and score for tension and discomfort during colposcopy. The ANN models yielded highly accurate anxiety prediction both prior and after diagnostics, 76.47% and 85.30%, respectively.

CONCLUSION

The presented findings can aid in identification of those women with a positive Pap screening test who could develop anxiety and thus represent the target group for psychological support, which would consequently improve adherence to follow-up diagnostics and enable timely treatment, finally reducing complications and fatal outcome.

Nomogram for predicting 10-year postoperative recurrence of stage I gastric cancer

Background

With the advancement of various auxiliary examination techniques, the detection rate of stage I gastric cancer has gradually increased, and its clinical first-choice treatment is surgery. Although patients with stage I gastric cancer generally have a good postoperative survival rate, there is still a certain probability of recurrence. Given the large number of gastric cancer cases, there is a vast population of patients with stage I disease. We are aiming to identify the risk factors for postoperative recurrence of stage I gastric cancer and to establish a reliable predictive model to assess the risk of recurrence in the population for clinical practice.

Methods

In this retrospective cohort study, we utilized the Surveillance, Epidemiology, and End Results (SEER) database to investigate predictive factors for recurrence among stage I gastric cancer patients who underwent curative gastrectomy between 2000 and 2018. The cohort was divided into training and validation sets for the development and validation of a nomogram. Prognostic factors were evaluated through univariate and multivariate Cox regression analyses. Significant variables identified by the concordance index (C-index) and calibration plots were used to construct nomograms predicting the probability of 5- and 10-year recurrence.

Results

Risk factors for recurrence included sex, age, race, histology, tumor size, American Joint Committee on Cancer Tumor (AJCC T) and primary site, which were used to construct the nomogram. The C-index for both the training and validation cohorts indicated that the nomogram possessed good calibration and discrimination abilities in predicting the probability of 5- and 10-year recurrence after curative surgery for stage I gastric cancer.

Conclusions

This study established a reliable predictive model for recurrence following curative gastrectomy in stage I gastric cancer based on a population cohort. The findings of this study have the potential to significantly impact clinical practice by providing clinicians with tools for personalized risk assessment and for making informed treatment decisions.

Fibrinogen to pre-albumin ratio is an independent prognostic index for patients with pancreatic ductal adenocarcinoma after radical resection

BACKGROUND

This study aims to elucidate the significance of the preoperative fibrinogen to pre-albumin ratio (FPR) in predicting the prognosis of pancreatic ductal adenocarcinoma (PDAC), a correlation not extensively explored previously.

METHODS

A cohort of 563 patients diagnosed with PDAC and subjected to radical surgical resection was examined. We meticulously documented a range of inflammatory markers, clinical-pathological features, and oncological outcomes. The prognostic value of preoperative FPR was assessed using Kaplan-Meier survival analysis and Cox proportional hazards regression modeling. Furthermore, the predictive accuracy of FPR was evaluated through time-dependent receiver operating characteristic (ROC) curves and decision curve analyses (DCA).

RESULTS

The determined optimal threshold for FPR was 14.77, which facilitated the stratification of patients into groups with low and high FPR levels. Notably, patients in the high FPR cohort exhibited significantly reduced recurrence-free survival (RFS) and overall survival (OS) rates compared to their low FPR counterparts. Multivariate Cox regression analysis underscored FPR as an independent prognostic indicator for both RFS and OS. In comparison to the neutrophil-to-lymphocyte ratio (NLR), FPR demonstrated superior prognostic accuracy and clinical utility.

CONCLUSION

The preoperative fibrinogen to pre-albumin ratio serves as an independent prognostic marker for RFS and OS among PDAC patients undergoing radical resection. Our findings suggest that FPR could be a valuable addition to the current prognostic models, potentially guiding therapeutic decision-making and patient management strategies in PDAC.

Targeting sphingosine 1-phosphate and sphingosine kinases in pancreatic cancer: mechanisms and therapeutic potential

Pancreatic cancer is known to be the most lethal cancer. Fewer new treatments are being developed for pancreatic cancer as compared to other cancers. The bioactive lipid S1P, which is mainly regulated by sphingosine kinase 1 (SK1) and sphingosine kinase 2 (SK2) enzymes, plays significant roles in pancreatic cancer initiation and exacerbation. S1P controls many signaling pathways to modulate the progression of pancreatic cancer through the G-coupled receptor S1PR1-5. Several papers reporting amelioration of pancreatic cancer via modulation of S1P levels or downstream signaling pathways have previously been published. In this paper, for the first time, we have reviewed the results of previous studies to understand how S1P and its receptors contribute to the development of pancreatic cancer, and whether S1P can be a therapeutic target. In addition, we have also reviewed papers dealing with the effects of SK1 and SK2, which are kinases that regulate the level of S1P, on the pathogenesis of pancreatic cancer. We have also listed available drugs that particularly focus on S1P, S1PRs, SK1, and SK2 for the treatment of pancreatic cancer. Through this review, we would like to suggest that the SK/S1P/S1PR signaling system can be an important target for treating pancreatic cancer, where a new treatment target is desperately warranted.

Global patterns and trends of suicide mortality and years of life lost among adolescents and young adults from 1990 to 2021: a systematic analysis for the Global Burden of Disease Study 2021

AIMS

We aimed to report an overview of trends in suicide mortality and years of life lost (YLLs) among adolescents and young adults aged 10-24 years by sex, age group, Socio-demographic Index (SDI), region and country from 1990 to 2021 as well as the suicide mortality with age, period and birth cohort effects.

METHODS

Estimates and 95% uncertainty intervals for suicide mortality and YLLs were extracted from the Global Burden of Diseases Study 2021. Joinpoint analysis was used to calculate the annual percentage change (APC) and average annual percentage change (AAPC) to describe the mortality and rate of YLLs trends. Age, period and cohort model was utilized to disentangle age, period and birth cohort effects on suicide mortality trends.

RESULTS

Globally, suicide mortality and the rate of YLLs among adolescents and young adults both declined from 1990 to 2021 (AAPC: -1.6 [-2.1 to -1.2]). In 2021, the global number of suicide death cases was 112.9 thousand [103.9-122.2 thousand] and led to 7.9 million [7.2-8.6 million] YLLs. A significant reduction in suicide mortality was observed in all sexes and age groups. By SDI quintiles, the high SDI region (AAPC: -0.3 [-0.6 to 0.0]) had the slowest decline trend, and low-middle SDI region remained the highest suicide mortality till 2021 (7.8 per 100,000 population [6.9-8.6]). Most SDI regions showed generally lower period and cohort effects during the study period, whereas high SDI region showed more unfavourable risks, especially period and cohort effects in females. Regionally, Central Latin America (AAPC: 1.7 [1.1-2.3]), Tropical Latin America (AAPC: 1.5 [0.9-2.0]), High-income Asia Pacific (AAPC: 1.2 [0.7-1.7]) and Southern sub-Saharan Africa (AAPC: 0.8 [0.4-1.2]) had the significance increase in suicide mortality. In 2021, Southern sub-Saharan Africa had the highest mortality (10.5 per 100,000 population [8.6-12.5]). Nationally, a total of 29 countries had a significant upward trend in suicide mortality and rate of YLLs over the past three decades, and certain countries in low-middle and middle regions exhibited an extremely higher burden of suicide.

CONCLUSIONS

Global suicide mortality and the rate of YLLs among adolescents and young adults both declined from 1990 to 2021, but obvious variability was observed across regions and countries. Earlier mental health education and targeted management are urgently required for adolescents and young adults in certain areas.

Psychosocial Burden of Women Who Are to Undergo Additional Diagnostic Procedures Due to Positive Screening for Cervical Cancer

Background/Objectives: This study aimed to evaluate psychosocial burden and its associated factors in women who were referred for additional diagnostic procedures following receipt of a positive cervical-cancer-screening smear result. Methods: A cross-sectional study was performed in a consecutive cohort of only women who received an abnormal Papanicolaou screening result and therefore presented to a gynecologist for additional diagnostic examinations (colposcopy/biopsy/endocervical curettage) at the Clinic for Gynecology and Obstetrics of the Clinical Center. Multivariate linear regression was used for data analysis, with Bonferroni correction applied for multiple comparisons. Results: Significant independent predictors for the occurrence of psychosocial burden-worry in women with a positive Papanicolaou screening test before diagnostic procedures were the use of oral contraceptives (β = -0.174, p < 0.001), alcohol consumption (β = 0.188, p < 0.001), anxiety (β = -0.189, p = 0.001), high burden of depressive symptoms (β = 0.191, p = 0.001) and insufficient knowledge of the meaning of the term dysplasia/precancerous (β = -0.187, p < 0.001), according to the multivariate linear regression. The significant independent predictor for the occurrence of psychosocial burden-satisfaction with information/support in women with a positive Papanicolaou screening test before diagnostic procedures was psychological distress (β = -0.210, p = 0.001). Conclusions: Providing information in order to improve understanding of the term dysplasia/precancerous, as well as identifying which women are at risk of psychosocial burden, may help protect against this potential harm among women who receive a positive cervical-cancer-screening result and may facilitate their intention to undergo further diagnostic procedures.

Airborne ultrafine particle concentrations and brain cancer incidence in Canada's two largest cities

BACKGROUND

Malignant brain tumours are rare, but are important to study because survival rates are low and few modifiable risk factors have been identified. Existing evidence suggests that outdoor ultrafine particles (UFPs; particulate matter < 100 nm; sometimes referred to as nanoparticles) can deposit in the brain and could encourage initiation and progression of cancerous tumours, but epidemiological data are limited.

METHODS

High-resolution estimates of outdoor UFP concentrations and size were linked to residential locations of approximately 1.5 million people in Montreal and Toronto, Canada from 2001 to 2015. Cox proportional hazards models were used to estimate associations between annual average outdoor UFPs and malignant brain tumour incidence while adjusting for potential confounding factors including other outdoor air pollutants.

FINDINGS

In total, 1365 incident brain tumour cases occurred during follow-up. Consistent positive associations were observed between long-term exposures to outdoor UFPs and brain tumour incidence with increased risk ranging from 10.5% (95% CI: -1.4, 24.0%) to 15.3% (95% CI: 0.4, 32.5%) per 10,000 particle/cm3 increase. Long-term exposures to oxidant gases, black carbon, or fine particulate matter (PM2.5) were not associated with increased brain tumour incidence.

INTERPRETATION

Our results suggest that long-term exposures to outdoor UFPs are associated with an increased risk of developing malignant brain tumours. On an absolute scale, the magnitude of this risk translates into approximately 24 additional cases per year per 10,000 particle/cm3 increase in annual average outdoor UFPs in a hypothetical city of 3-million people.

FUNDING

Canadian Institutes of Health Research (CIHR) Foundation Grant and The United States Health Effects Institute (HEI).

Adipose-Derived Stem Cells as Carrier of Pro-Apoptotic Oncolytic Myxoma Virus: To Cross the Blood-Brain Barrier and Treat Murine Glioma

Treatment of glioblastoma is ineffective. Myx-M011L-KO/EGFP, a myxoma virus actively inducing apoptosis in BTICs linked to recurrence, offers innovative treatment. We loaded this construct into adipose-derived stem cells (ADSCs) to mitigate antiviral host responses and enable systemic delivery. The apoptotic and cytotoxic effects of the construct were studied using murine and human glioblastoma cell lines. Before implementing systemic delivery, we delivered the construct locally using ADSC to verify elimination of orthotopic murine glioma lesions. vMyx-M011L-KO/EGFP was cytotoxic to a murine cell line, preventing effective virus multiplication. In three human glioma cell lines, viral replication did occur, coupled with cell killing. The knock-out construct induced apoptotic cell death in these cultures. ADSCs infected ex vivo were shown to be sufficiently migratory to assure transfer of the therapeutic cargo to murine glioma lesions. Virus-loaded ADSCs applied to the artificial blood-brain barrier (BBB) yielded viral infection of glioma cells grown distally in the wells. Two rounds of local administration of this therapeutic platform starting 6 days post tumor implantation slowed down growth of orthotopic lesions and improved survival (total recovery < 20%). ADSCs infected ex vivo with vMyx-M011L-KO/EGFP show promise as a therapeutic tool in systemic elimination of glioma lesions.

Deciphering the Landscape of GATA-Mediated Transcriptional Regulation in Gastric Cancer

Gastric cancer (GC) is an asymptomatic malignancy in early stages, with an invasive and cost-ineffective diagnostic toolbox that contributes to severe global mortality rates on an annual basis. Ectopic expression of the lineage survival transcription factors (LS-TFs) GATA4 and 6 promotes stomach oncogenesis. However, LS-TFs also govern important physiological roles, hindering their direct therapeutic targeting. Therefore, their downstream target genes are particularly interesting for developing cancer-specific molecular biomarkers or therapeutic agents. In this work, we couple inducible knockdown systems with chromatin immunoprecipitation and RNA-seq to thoroughly detect and characterize direct targets of GATA-mediated transcriptional regulation in gastric cancer cells. Our experimental and computational strategy provides evidence that both factors regulate the expression of several coding and non-coding RNAs that in turn mediate for their cancer-promoting phenotypes, including but not limited to cell cycle, apoptosis, ferroptosis, and oxidative stress response. Finally, the diagnostic and prognostic potential of four metagene signatures consisting of selected GATA4/6 target transcripts is evaluated in a multi-cancer panel of ~7000 biopsies from nineteen tumor types, revealing elevated specificity for gastrointestinal tumors. In conclusion, our integrated strategy uncovers the landscape of GATA-mediated coding and non-coding transcriptional regulation, providing insights regarding their molecular and clinical function in gastric cancer.

Application of large-scale and multicohort plasma proteomics data to discover novel causal proteins in gastric cancer

PURPOSES

Gastric cancer (GC) is one of the most common malignant tumors threatening human beings and has a poor prognosis. Therefore, exploring unveiled biomarkers or therapeutic targets for the diagnosis and treatment of GC is crucial.

METHODS

A total of 5772 protein quantitative trait loci (pQTL) were aggregated from four latest large-scale proteomics cohorts. Two-sample Mendelian randomization (two-sample MR) was utilized to identify the causal effect of blood plasma proteins on GC. Heterogeneity, pleiotropy, and directionality analyses were employed to evaluate proteins identified via two-sample MR. The robustness of results was further validated via colocalization. The drug targets of proteins were evaluated to reveal the compounds that can interfere with these proteins.

RESULTS

Ten proteins with potential causations in relation to GC were identified: LY6D, SLURP1, MLN, PSCA, THSD1, CFTR, PPM1B, KDM3A, TSC1, and HCG22. Among these proteins, LY6D, SLURP1, and THSD1 were considered as the most reliable biomarkers of GC due to their significant H4 posterior probabilities in colocalization analysis and absence of pleiotropy. Compound 35, nitrosamide, and 0175029-0000 were potential drugs or small molecules targeting LY6D, SLURP1, and THSD1, respectively.

CONCLUSION

This study identified several plasma proteins as potential biomarkers of GC and provided data support and new insights into the early diagnosis, intervention, and therapeutic targets of GC.

Influence of personal and career burnout on female employers' subjective evaluation of workplace acoustic environment

BACKGROUND

Burnout is an increasingly common problem in modern work settings that significantly affects people's health and well-being. Several studies have emphasized the impact of career burnout on employees' performance and efficiency. It is unknown whether career burnout mediated by personal burnout may affect employees' perception of their workplace physical environment attributes.

OBJECTIVES

This research aims to understand if personal and career burnout can affect employers' acoustic environment evaluation of their workplace.

METHOD

Considering commonly experienced or highly experienced personal and career burnout among working women, the study targeted female university faculty members. The research involved stratified sampling and employed data from 272 individuals across five public and private universities in Tehran. Collected data were analyzed using SmartPLS (latest release 4.1).

RESULTS

The results revealed a significant link between personal and career burnout and the subjective evaluation of workplace acoustic environment. Career burnout mediated the relationship between personal burnout and negative evaluation of the workplace acoustic environment.

CONCLUSION

This study provides compelling evidence that experiences of burnout, whether related to personal or career aspects, substantially impact the subjective assessment of the acoustic environment within the workplace. The results underscore the complex interplay between an individual's degree of burnout and their subjective perception of the acoustic dimensions of their work environment. The findings extend our understanding of how psychological factors might shape our interpretation of the physical workplace.

Epigenetic frontiers: miRNAs, long non-coding RNAs and nanomaterials are pioneering to cancer therapy

Cancer has arisen from both genetic mutations and epigenetic changes, making epigenetics a crucial area of research for innovative cancer prevention and treatment strategies. This dual perspective has propelled epigenetics into the forefront of cancer research. This review highlights the important roles of DNA methylation, histone modifications and non-coding RNAs (ncRNAs), particularly microRNAs (miRNAs) and long non-coding RNAs, which are key regulators of cancer-related gene expression. It explores the potential of epigenetic-based therapies to revolutionize patient outcomes by selectively modulating specific epigenetic markers involved in tumorigenesis. The review examines promising epigenetic biomarkers for early cancer detection and prognosis. It also highlights recent progress in oligonucleotide-based therapies, including antisense oligonucleotides (ASOs) and antimiRs, to precisely modulate epigenetic processes. Furthermore, the concept of epigenetic editing is discussed, providing insight into the future role of precision medicine for cancer patients. The integration of nanomedicine into cancer therapy has been explored and offers innovative approaches to improve therapeutic efficacy. This comprehensive review of recent advances in epigenetic-based cancer therapy seeks to advance the field of precision oncology, ultimately culminating in improved patient outcomes in the fight against cancer.

In Silico Insights Reveal Fibronectin 1 as a Theranostic Marker in Gastric Cancer

Gastric cancer (GC) is a complex and highly variable disease, ranking among the top five cancers diagnosed globally, and a leading cause of cancer-related deaths. Emerging from stomach lining cells amid chronic inflammation, it often advances to preneoplastic stages. Late-stage diagnoses and treatment challenges highlight the critical need for early detection and innovative biomarkers, motivating this study's focus on identifying theranostic markers through gene ontology analysis. By exploring deregulated biological processes, this study aims to uncover insights into cancer progression and associated markers, potentially identifying novel theranostic candidates in GC. Using public data from The Human Protein Atlas, this study pinpointed 299 prognostic genes, delineating 171 with unfavorable prognosis and 128 with favorable prognosis. Functional enrichment and protein-protein interaction analyses, supported by RNAseq results and conducted via Metascape and Cytoscape, highlighted five genes (vWF, FN1, THBS1, PCDH7, and F5) with promising theranostic potential. Notably, FN1 and THBS1 exhibited significant promise, with FN1 showing a 370% expression increase in cancerous tissue, and it is possible that FN1 can also indicate the stratification status in GC. While further validation is essential, these findings provide new insights into molecular alterations in GC and potential avenues for clinical application of theranostic markers.

Impact of an enhanced anti-infection prophylaxis strategy for pancreatoduodenectomy: a single centre analysis

INTRODUCTION : Surgical site infection (SSI) after pancreatoduodenectomy (PD) is a significant concern. Targeted antibiotic prophylaxis (pAP) has been tested to mitigate antibiotic resistance patterns, especially after preoperative bile duct stenting. The aim of this study was to investigate the effect of enhanced anti-infective prophylaxis (EAP) on the incidence of superficial and intraabdominal SSI.

METHODS

All patients who underwent PD at a single centre between May 2018 and May 2021 were retrospectively analysed. A control cohort of patients who received pAP with intravenous cefuroxime and metronidazole and routine intraoperative abdominal lavage according to the surgeons' preferences. Since March 2020, pAP has been changed to piperacillin/tazobactam according to local resistance patterns and combined with routine intraoperative extended abdominal lavage (EIPL). Preoperative selective decontamination of the digestive tract (SDD) has been applied routinely since Jan 2019.

RESULTS

In total, 163 patients were included. The standard (n = 100) and EAP (n = 63) groups did not significantly differ with regard to pertinent patient and operative characteristics. In the EAP group, the rates of SSI (14% vs. 37%, p = 0.002, total rate: 28%) and urinary tract infection (24% vs. 8%, p = 0.011, total rate 18%) were significantly lower. Other septic complications were not significantly different. In addition, the risk of developing gastrointestinal bleeding and delayed gastric emptying was significantly lower in the EAP group. Multivariate analysis showed that an age > 67 years was a significant risk factor for SSI.

CONCLUSION

The results indicate that enhanced anti-infective prophylaxis may significantly decrease the incidence of SSI in patients after PD.

The simplified depth-predicting score outperforms the depth-predicting score for predicting the depth of invasion in differentiated early gastric cancer patients among nonexpert endoscopists

AIM

Endoscopists utilize depth-predicting score (DPS) and simplified depth-predicting score (S-DPS) to predict the invasion depth of early gastric cancer based on conventional white-light endoscopic features. The effectiveness of these scores has not been fully elucidated among nonexpert endoscopists. This study aimed to compare the ability of DPS and S-DPS to predict invasion depth of differentiated early gastric cancers by nonexpert endoscopists.

PARTICIPANTS AND METHODS

We collected subitem scores of DPS and S-DPS from 19 nonexpert endoscopists for early gastric cancer conventional white-light endoscopy images in the test dataset to predict the invasion depth of the early gastric cancer conventional white-light endoscopy images. Accuracy, specificity, overdiagnosis rate, and underdiagnosis rate were subsequently calculated using the histological invasion depth as the gold standard.

RESULTS

Using 3 as the cutoff line, the overall S-DPS diagnostic accuracy for invasion depth was significantly greater than that of DPS [73.86% (69.32%, 75.00%) vs. 67.05% (62.50%, 71.59%), p=0.005]. The overall S-DPS overdiagnosis rate was significantly lower than that of DPS [7.58% (3.03%, 13.64%) vs. 28.79% (18.18%, 37.88%), p=0.000]. The overall S-DPS under-diagnosed rate was significantly higher than that of DPS [86.36% (68.18%, 90.91%) vs. 45.45% (31.82%, 59.09%), p=0.000]. The specificity of the S-DPS was significantly greater than that of DPS [92.42% (86.36%, 96.97%) vs. 71.21% (62.12%, 81.82%), p=0.000].

CONCLUSION

The diagnostic accuracy of the S-DPS was greater than that of the DPS among nonexpert endoscopists. Furthermore, S-DPS is simpler than other methods, making it more conducive to clinical application for nonexpert endoscopists.

Application and Challenge of Metalloporphyrin Sensitizers in Noninvasive Dynamic Tumor Therapy

Dynamic tumor therapies (mainly including photodynamic therapy (PDT) and sonodynamic therapy (SDT)) offer new approaches to cancer treatment. They are often characterized by their noninvasive nature, high selectivity, and low toxicity. Sensitizers are crucial for dynamic therapy. Developing efficient sensitizers with good biocompatibility and controllability is an important aim in dynamic therapy. Porphyrins and metalloporphyrins attract great attention due to their excellent photophysical properties and low cytotoxicity under non-light. Compared to porphyrins, metalloporphyrins show greater potential for dynamic therapy due to their enhanced photochemical and photophysical properties after metal ions coordinate with porphyrin rings. This paper reviews some metalloporphyrin-based sensitizers used in photo/sonodynamic therapy and combined therapy. In addition, the probable challenges and bottlenecks in clinical translation are also discussed.

CT gastrography and enterography retrospective analysis: thickened diaphragm crura is a false indication for a gastric fundic tumor

Objectives

To mitigate the incidence of misdiagnosis and distinguish between gastric fundic tumors (GFTs) and thickened diaphragmatic crura (TDC).

Materials and methods

Computed tomographic enterography (CTE) data from 3844 cases and computed tomographic gastrography (CTG) data from 4351 cases were retrospectively analyzed. A total of 105 cases were selected and categorized into three groups: 47 cases with TDC examined via CTE, 31 with adenocarcinoma, and 27 with gastrointestinal stromal tumors (GIST) examined via CTG. Inter-group differences in age, sex distribution, mass dimensions, mass-stomach interface (MSI), chief complaints, gastric underlying diseases, and enhancement patterns were analyzed.

Results

The misdiagnosis rate of TDC as a tumor by radiologists is approximately 1.2% (47/3844). Age (p<0.05), sex ratio (p<0.05), mean mass size (p<0.05), chief complaint (p<0.05) and mass-stomach interface (MSI, p<0.05) were significantly different among patients with GIST, adenocarcinoma and TDC. The contrast enhancement pattern of TDC markedly differed from that observed in adenocarcinoma (p<0.05) and GIST (p<0.05) patients.

Conclusions

Misdiagnosis of GFTs is occasionally and may be challenging to differentiate from TDC using CTE. To drastically lower the chance of misdiagnosis, this research aimed to assist radiologists in identifying and considering the possibility of TDC.

Prevalence of low back pain and associated factors among medical students in Wachemo University Southern Ethiopia

Low back pain(LBP) is the most common musculoskeletal disorder in adults. According to previous studies medical students were found vulnerable for the development of LBP. We assessed the prevalence of LBP and associated factors among Medical students in Wachemo University, Southern Ethiopia. An institution-based cross-sectional study design and simple random sampling technique was employed to select 370 medical students. A structured pretested interviewer administered questionnaire was used to collect the data. The data were entered into Epi-info version 3.1 and analysed by SPSS version 25. Analytical and descriptive statistics were conducted. Simple and multiple logistic regression analyses were employed to assess factors associated with LBP. Variables at p-value ≤ 0.25 in simple logistic regression analysis were entered into multiple logistic regression. Statistical significance was declared at P-value, < 0.05 in multiple logistic analysis. The prevalence of low back pain among medical students was found to be 40.1%with 95% CI (38.5-41.8). Being male students [AOR (95% CI): 1.83 (1.09-3.08)], design of study sitting chairs without back support [adjusted odds ratio(AOR) (95% C.I): 2.81 (1.74-4.55)], stress during class [AOR (95% C.I): 2.60 (1.56-4.35)], and daily study hours greater than 6 h and above [AOR: 4.33, 95% CI (2.30-8.12)] had a significant association with LBP. The prevalence of LBP in this study is high. Better ergonomic facilities and psychosocial supports to medical students are recommended to reduce the effects of predisposing factors on LBP.

Esophagojejunostomy using a circular stapler vs. a linear stapler for gastric cardia cancer patients: impact of upper margin length and tumor size on the survival rate

Background

The incidence of gastric cancer is concomitantly rising with gastric cardia cancer worldwide. While the improvement of gastric cancer surgical techniques is glowing, this study assesses the impact of the upper margin length and tumor size on the survival rate for gastric cardia cancer patients who underwent total laparoscopic total gastrectomy(TLTG) or laparoscopic assisted total gastrectomy(LATG).

Materials and methods

A total of 63 patients with gastric cardia cancer who underwent laparoscopic total gastrectomy were retro-prospectively collected from January 2021 to May 2023. While assessing the impact of upper margin length and tumor size on the survival rate, esophagojejunostomy using a linear stapler has been compared to a circular stapler.

Results

The sixty-three patients met inclusion criteria; 32 (51%) underwent LATG and 31 (49%) underwent TLTG. Their mean age was 65 years (range, 45-77). The blood loss means in LATG and TLTG was 74.69 and 50.16 ml, respectively (p = 0.005), and surgery duration was higher in LATG than LATG with respective means of 247 min and 222.42 min. (p = 0.006). However, the tumor size means (p = 0.5), and upper margin length means (p = 0.052) were not significantly different in the LATG and TLTG groups, respectively. The number of resected and assessed lymph node was adequate in the LATG and TLTG groups. The current study still does not find an independent related risk from the upper margin length and tumor size to the survival rate according to the multiple regression analysis (p = 0.080).

Conclusion

The upper margin length and tumor size do not have a relationship with the survival rate of the compared esophagojejunostomy (EJS) methods. The EJS using a linear stapler requires a shorter surgery duration and less blood loss than EJS using a circular stapler.

Two Decades of Progress in Personalized Medicine of Colorectal Cancer in Serbia-Insights from the Institute for Oncology and Radiology of Serbia

BACKGROUND

It is projected that, by 2040, the number of new cases of colorectal cancer (CRC) will increase to 3.2 million, and the number of deaths to 1.6 million, highlighting the need for prevention strategies, early detection and adequate follow-up. In this study, we aimed to provide an overview of the progress in personalized medicine of CRC in Serbia, with results and insights from the Institute for Oncology and Radiology of Serbia (IORS), and to propose guidance for tackling observed challenges in the future.

METHODS

Epidemiological data were derived from official global and national cancer registries and IORS electronic medical records. Germline genetic testing for Lynch syndrome was performed by Next Generation Sequencing. RAS and BRAF mutation analyses were performed using qPCR diagnostic kits.

RESULTS

Epidemiology and risk factors, prevention and early detection programs, as well as treatment options and scientific advances have been described in detail. Out of 103 patients who underwent germline testing for Lynch syndrome, 19 (18.4%) showed a mutation in MMR genes with pathogenic or likely pathogenic significance and 8 (7.8%) in other CRC-associated genes (APC, CHEK2, MUTYH). Of 6369 tested patients, 50.43% had a mutation in KRAS or NRAS genes, while 9.54% had the V600 mutation in the BRAF gene.

CONCLUSIONS

Although significant improvements in CRC management have occurred globally in recent years, a strategic approach leading to population-based systemic solutions is required. The high incidence of young-onset CRC and the growing elderly population due to a rise in life expectancy will be especially important factors for countries with limited healthcare resources like Serbia.

A Population-Based Analysis of the Cancer Incidence in Individuals under 50 in a Northern Italian Province: Focusing on Regional Disparities and Public Health Implications

International studies have shown an increase in cancer incidence among young adults, raising public concern. This study aims examines trends in the cancer incidence among individuals aged 15-49 years in a province of Northern Italy, covering diagnoses from 1996 to 2021, and compares the annual percentage change (APC) with national and international data. In males, the overall cancer incidence showed a modest increase between 1996 and 2013 (APC 1.6), followed by a decline in the subsequent years (APC -2.5). In females, there was a modest increase over the entire period (APC 1.0). The lung cancer incidence decreased in both sexes (APC -3.9 in males and APC -3.3 in females), while a decrease was observed for colorectal cancers in women (APC -2.4). Since 2015, the thyroid cancer incidence declined significantly in females (APC -10.2), while an increase was noted in males (APC 2.5). The testicular cancer incidence rose in males (APC 1.5), and the melanoma incidence increased in both sexes (APC 3.4 in males and APC 3.9 in females). The breast cancer incidence remained stable (APC 0.3). These results underline the importance of promoting healthy lifestyles even among younger generations to address emerging cancer trends and support cancer prevention efforts.