Search Results (154)

Emerging evidence suggests some bacterial infections may be early signs of hidden cancers rather than random events. Yet this link remains under-recognized in practice, representing an often-missed diagnostic opportunity. Large registry studies show that certain infections are linked to a sharply increased short-term risk of cancer detection, with most of the excess diagnoses clustering in the first 6 months after the index episode. Key associations include the following: (i) anaerobic or gut-derived bacteremia with Bacteroides, Clostridium, Fusobacterium, or pks⁺ Escherichia coli before colorectal neoplasm; (ii) Streptococcus gallolyticus/bovis bacteremia and colorectal neoplasm; (iii) cryptogenic Klebsiella pneumoniae liver abscess and pancreaticobiliary or colorectal cancer; (iv) non-resolving pneumonia and segmental collapse before lung cancer. Overall, short-term cancer detection risks range from about 3% after unselected Gram-negative bacteremia to ~8% or higher after cryptogenic liver abscess—similar to accepted thresholds that justify targeted cancer work-up. Even hidden tumors disrupt immunity, compromise barriers, and create conditions that favor microbial invasion. This review synthesizes evidence for the “sentinel infection phenotype”; outlines pathogen-specific associations, including their possible pathogenetic mechanisms; and proposes a practical diagnostic framework. Recognizing these infection signatures may enable earlier cancer detection and better outcomes. Full article

For decades, cancer risk has been explained mainly by local factors. However, emerging evidence shows that the oral microbiome acts as a systemic modifier of oncogenesis well beyond the head and neck. This review synthesizes clinical and mechanistic data linking dysbiotic oral communities, especially Porphyromonas gingivalis, Fusobacterium nucleatum, and Treponema denticola, to malignancies across gastrointestinal, respiratory, hepatobiliary, pancreatic, breast, and urogenital systems. We summarize organ-specific associations from saliva, tissue, and stool studies, noting the recurrent enrichment of oral taxa in tumor and peri-tumoral niches of oral, esophageal, gastric, colorectal, lung, pancreatic, liver, bladder, cervical, and breast cancers. Convergent mechanisms include the following: (i) persistent inflammation (lypopolysacharide, gingipains, cytolysins, and collagenases); (ii) direct genotoxicity (acetaldehyde, nitrosation, and CDT); (iii) immune evasion/suppression (TLR/NLR signaling, MDSC recruitment, TAN/TAM polarization, and TIGIT/CEACAM1 checkpoints); and (iv) epigenetic/signaling rewiring (NF-κB, MAPK/ERK, PI3K/AKT, JAK/STAT, WNT/β-catenin, Notch, COX-2, and CpG hypermethylation). Plausible dissemination along an oral–gut–systemic axis, hematogenous, lymphatic, microaspiration, and direct mucosal transfer enables distal effects. While causality is not yet definitive, cumulative data support oral dysbiosis as a clinically relevant cofactor, motivating biomarker-based risk stratification, saliva/stool assays for early detection, and microbiome-targeted interventions (periodontal care, antimicrobials, probiotics, and microbiota modulation) alongside conventional cancer control. Full article

Background: Spatial heterogeneity in tumor tissue has been linked to patient prognosis. To exploit both structural and semantic cues in whole slide images (WSIs), we propose Dual eXplanatory Framework (DuXplore), a dual-branch deep learning framework that integrates tissue architecture and cellular morphology for hepatocellular carcinoma (HCC) prognosis. Method: At the macroscopic level, DuXplore constructs a multi-channel tissue organization probability map (MTOP) to represent the spatial layout of eight tissue categories within the WSIs. At the microscopic level, a feature-guided Fused Structure Tensor (FST) based on tissue composition is employed to extract representative cell morphology patches. Accordingly, MTOP representations are modeled by Macro-Net, while FST-guided patches are modeled by Micro-Net. Each branch produces a 32-dimensional prognostic embedding, which are fused and passed through a multi-layer perceptron with a Cox proportional hazards head to generate patient-level risk predictions. To further elucidate the distinct contributions of the two branches, we conducted model-agnostic interpretability analyses, including occlusion sensitivity mapping (OSM) on MTOP and nuclear morphometrics from CellProfiler on high- versus low-risk tiles. Result: DuXplore achieves promising performance with C-indices of 0.764 on the public Cancer Genome Atlas (TCGA) dataset and 0.713 on the Eastern Hepatobiliary HCC (EHBH) cohort from our clinical center, along with significant patient risk stratification (log-rank p < 0.001). OSM highlighted necrosis and central fibrosis as high-risk and marginal fibrosis as protective; these patterns were corroborated by multivariable Cox using reproducible structural parameters (N-ratio, FIB-center, FIB-edge). Micro-level analysis revealed that higher nuclear staining intensity, increased texture irregularity (GLCM features), and greater morphological heterogeneity characterize high-risk tiles, aligning with pathological understanding. Conclusions: DuXplore advances prognostic modeling by coupling structure-aware micro-sampling with macro architectural encoding, delivering robust, generalizable survival prediction and biologically plausible explanations. While validated on HCC WSIs, broader multi-center, multi-omics studies are warranted to refine sampling scales and enhance clinical translation. Full article

Breast and colorectal cancers remain among the leading causes of cancer-related deaths globally, with therapy failure often driven by tumor complexity and interactions with the tumor microenvironment (TME). Hyaluronic acid (HA), a key extracellular matrix component, plays a vital role in TME remodeling, while altered breast cancer gene 1 and 2 (BRCA1/2) expression, essential for DNA repair, is linked to cancer aggressiveness. This study investigates the link between HA metabolism and BRCA1/2 expression in breast and colorectal cancers. We analyzed HA, CD44, and BRCA1 and 2 expression in patient tissue samples via immunofluorescence. To assess whether HA metabolism affects BRCA1/2 expression, we treated spheroids with hyaluronidase (HYAL) and 4-methylumbelliferone (4-MU) to reduce HA levels. The resulting changes in BRCA1/2 expression were evaluated using qPCR, and tumor profiles were assessed through microscopy and immunofluorescence. We found a coordinated behavior between BRCA1 and BRCA2 in breast cancer and observed BRCA1’s crypt-restricted expression in normal colorectal tissue, which may underlie its well-known tissue specificity. In a triple-negative breast cancer model, we observed that 4-MU reduced spheroid volume and increased BRCA 1/2 levels, suggesting a potential mechanism of 4-MU for tumor shrinkage and BRCA restoration. These findings suggest that 4-MU, a compound already approved for oral use in hepatobiliary indications in Europe and Asia, is a mechanistically plausible HA-targeting candidate for therapeutic repurposing in BRCA-deficient tumors. Full article

Background: Adjuvant therapies improve disease-free and cancer-specific survival in digestive tract malignancies. Return to intended oncological therapy (RIOT) measures how promptly patients resume these treatments after cancer resection. Because sugammadex has demonstrated superior postoperative outcomes compared to neostigmine, we hypothesize that its use may increase the likelihood and timeliness of RIOT in patients undergoing digestive tract cancer surgery. Methods: Adults (≥18 years) undergoing gastrointestinal, hepatobiliary cancer resection, or liver resection for limited metastases between January 2016 and December 2017 were retrospectively analyzed. Patients were grouped by neuromuscular blockade reversal agent (neostigmine vs. sugammadex). The primary outcome was RIOT within 90 days; secondary outcomes included RIOT within 180 days, time-to-RIOT, hospital length of stay, ICU admission, and readmissions. Results: Of 4358 records screened, 1081 met the inclusion criteria: 273 (25.2%) patients with neostigmine and 808 (74.8%) with sugammadex. Patients in the neostigmine group were slightly younger, and racial distribution differed modestly, but sex, BMI, ASA class, comorbidity, cancer type, and stage were comparable. Median reversal doses were 5 mg and 200 mg, respectively. Anesthesia duration, hospital and ICU length of stay, readmissions, and ICU use showed no significant differences. RIOT frequency was also similar across groups, except for modestly higher radiotherapy resumption with neostigmine at 90 and 180 days. Overall, perioperative and oncological outcomes were largely comparable between groups. Conclusions: Sugammadex and neostigmine showed similar RIOT rates, with only a modest difference in radiotherapy resumption. Larger studies are needed to elucidate the potential benefits of sugammadex, particularly regarding long-term oncological outcomes and treatment continuity. Full article

Background: Sotorasib, a KRAS G12C inhibitor, is approved for treating non-small cell lung cancer (NSCLC) and has shown a distinct safety profile in randomized clinical trials (RCTs). However, post-marketing pharmacovigilance is crucial to identify real-world safety signals including sex-specific differences that may not be evident in controlled trial settings. Methods: This analysis reviewed 845 individual case safety reports (ICSRs) from the EudraVigilance (EV) database between 1 January 2021, and 8 April 2025, involving NSCLC patients treated with sotorasib. Adverse drug reactions (ADRs) were assessed by sex, seriousness, outcome, and system organ class (SOC). Disproportionality analyses were conducted to detect sex-specific safety signals, and results were compared with data from the CodeBreaK200 RCT by using a two-proportion z-test. Results: Among the ICSRs, 49.2% involved male and 40.1% female patients. Serious ADRs accounted for 47.5% of cases, with females at higher risk (relative risk [RR] = 1.31; 95% confidence interval (CI): 1.22–1.40; p < 0.0001). The most frequently reported SOCs were neoplasms (15.8%), gastrointestinal disorders (15.3%), and hepatobiliary disorders (11.5%). Four sex-specific safety signals were identified: women had a significantly increased risk of cholestasis (RR = 3.37) and hepatotoxicity (RR = 3.01), while men were less likely to report decreased appetite (RR = 0.20) and rash (RR = 0.14). Real-world data showed lower reporting of diarrhea, fatigue, nausea, and liver enzyme elevations (p < 0.0001). Conclusions: Real-world pharmacovigilance supports the RCT findings and highlights sex-specific risks, thus emphasizing the importance of sex-aware monitoring and personalized toxicity management. Full article

Efforts by the World Health Organization (WHO) have clarified the descriptive nomenclature and histologic grading of neuroendocrine neoplasms (NENs) in human medicine. Employing a standardized stratification scheme in conjunction with specific immunohistochemical markers, such as gastrin, enhances prognostic accuracy and guides treatment recommendations. Yet, this classification system has yet to be applied consistently in veterinary pathology. Histopathologic features and gastrin expression were analyzed in a group of canine gallbladder (GB) NENs. Based on the human WHO histologic system, which stratifies grade based on proliferative indices (mitotic count and Ki67%), all gradable GB NENs were classified as neuroendocrine tumors (NETs) rather than neuroendocrine carcinomas (NECs). Only one GB NET was positive for gastrin using immunohistochemical staining. Collectively, our data suggest that canine GB NENs have a lower grade than most human GB NENs and rarely express gastrin. The use of proliferative indices in the histologic characterization of canine GB NENs is likely to improve prognostic information. Given the limited expression of gastrin in these neoplasms in dogs, this marker is unlikely to be widely applicable as a druggable target. Full article

Background: Pancreatic and hepatobiliary tumors continue to rank among the deadliest cancers worldwide. Due to a low response rate to treatment, these tumors continue to have a high death rate, a poor prognosis and survival rate, and an overall poor patient outcome. The multimodal strategy used in current treatment includes systemic therapy, radiation therapy, and surgery. However, surgery remains the only treatment with curative intent. Preoperative biliary drainage has a direct impact on the perioperative prognosis of patients with obstructive jaundice and significantly compromised liver function due to hepato-bilio-pancreatic malignancies. Our study’s goal was to determine the safest and most efficient preoperative biliary drainage technique by conducting a systematic review and meta-analysis of resectable periampullary cancers. Methods: Our approach consisted of searching PubMed, BMC Medicine, and Scopus databases using keywords with a result of 1104 articles from 2010 to 2023. The remaining 24 articles that met our inclusion criteria were subjected to meta-analysis using R Commander 4.3.2. Results: Endoscopic retrograde biliary drainage (ERBD) demonstrated a higher rate of postprocedural pancreatitis (RR = 2.22, p < 0.01), intra-abdominal abscess (RR = 1.64, p < 0.01), and delayed gastric emptying (DGE) (RR = 2.07, p < 0.01) than percutaneous transhepatic biliary drainage (PTBD) or endoscopic nasobiliary drainage (ENBD). Plastic stent (PS) had higher rates of catheter occlusion (RR = 2.20, p < 0.01) and POPF (RR = 1.66, p < 0.01) compared to self-expandable metallic stent (SEMS), which could explain a longer hospital stay (MD = 2.41 days, p < 0.01). However, PS had lower rates of grade 1–2 complications (RR = 0.79, p = 0.017) and wound infection rates (RR = 0.66, p = 0.017) than self-expandable metallic stent (SEMS). Conclusions: The choice of a preoperative drainage method can influence postprocedural and postoperative complications rates. ERBD appears to be associated with higher procedure-related and postoperative complication rates and may be linked to a prolonged hospital stay compared to ENBD or PTBD. Moreover, the type of stent placed through ERBD procedure had an important impact on prognosis, as PS had a higher rate of catheter occlusion and POPF, with a prolonged hospital stay compared to SEMS, while mild complications and wound infections were less common in PS group. Full article

Hepatocellular carcinoma (HCC) management has evolved remarkably with the advent of diverse therapeutic options, particularly systemic and surgical treatments. Combination immunotherapy has redefined the treatment paradigm for advanced HCC and contributed to improved patient outcomes. However, this brings forth challenges such as immune-related adverse events that complicate decision-making. Surgical strategies have expanded with the emergence of conversion therapy and borderline resectability, offering curative potential for a broader patient population. However, robust evidence of their long-term efficacy is lacking. Therefore, decision-making biomarkers have gained prominence across treatment modalities. This review explores the current landscape of predictive, prognostic, and treatment-response biomarkers in HCC, from molecular and immune signatures to radiological and biochemical markers, highlighting their role in optimizing therapeutic strategies. By integrating recent advances in basic and translational research with clinical practice, we aim to outline a biomarker-driven framework for individualized care in HCC. Full article

Purpose: This systematic review aims to analyze the literature on the application of AI in predicting patient outcomes and treatment-related toxicity in those undergoing SBRT or SRS across heterogeneous tumor sites. Materials and methods: Our review conformed to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. PubMed, EMBASE and Scopus were systematically searched for English-language human studies evaluating AI for outcome and toxicity prediction in patients undergoing SBRT or SRS for solid tumors. Search terms included (“Stereotactic Body Radiotherapy” OR “SBRT” OR “Stereotactic Radiosurgery” OR “SRS” OR “Stereotactic Ablative Radiotherapy” OR “SABR”) AND (“Artificial Intelligence” OR “AI” OR “Machine Learning” OR “Deep Learning” OR “Radiomics”) AND (“Response Prediction” OR “Response to Treatment” OR “Outcome Prediction”) AND (“Toxicity” OR “Side Effects” OR “Treatment Toxicities” OR “Adverse Events”). Results: The search yielded 29 eligible retrospective studies, published between 2020 and 2025. Eight studies addressed early-stage primary lung cancer, highlighting the potential of AI-based models in predicting radiation-induced pneumonitis, fibrosis and local control. Five studies investigated AI models for predicting hepatobiliary toxicity following SBRT for liver tumors. Sixteen studies involved SRS-treated patients with brain metastases or benign intracranial neoplasms (e.g., arteriovenous malformations, vestibular schwannomas, meningiomas), exploring AI algorithms for predicting treatment response and radiation-induced changes. In the results, AI might have been exploited to both reaffirm already known clinical predictors and to identify novel imaging, dosimetric or biological biomarkers. Examples include predicting radiation pneumonitis in lung cancer, residual liver function in hepatic tumors and local recurrence in brain metastases, thus supporting tailored treatment decisions. Conclusions: Combining AI with SBRT could greatly enhance personalized cancer care by predicting patient-specific outcomes and toxicity. AI models analyze complex datasets, including imaging and clinical data, to identify patterns that traditional methods may miss, thus enabling more accurate risk stratification and reducing variability in treatment planning. With further research and clinical validation, this integration could make radiotherapy safer, more effective and contribute to advancement in precision oncology. Full article

Inflammatory bowel disease (IBD) and primary sclerosing cholangitis (PSC) are chronic immune-mediated inflammatory diseases (IMIDs) that affect the gastrointestinal and hepatobiliary systems. They are characterized by persistent inflammation, potentially progressive fibrosis, and an elevated risk of developing cholangiocarcinoma and colorectal cancer. IBD and PSC share phenotypical, genetic, and immunological features, largely due to the central role of immune cell dysregulation. Despite their increasing global prevalence, the underlying drivers remain poorly understood, and effective treatment options are still lacking. Efforts towards an improved comprehension of their pathogenic mechanisms are therefore pivotal. Emerging evidence highlights the role of canonical ASC-dependent inflammasomes—multiprotein bioactive Interleukin (IL)-1-producing complexes of the innate immune system—and serum amyloid A (SAA) as key structures of gastrointestinal and hepatobiliary inflammation, tissue remodeling, stromal crosstalk, and fibrosis. In this review, we explore immunological connections and analogies between IBD and PSC, highlighting the converging roles of canonical ASC-dependent inflammasomes, the IL-1 superfamily, SAA, and sustained gut microbiota-driven chronic inflammation in disease pathology and their surging potential as therapeutic targets across the gut–liver axis. Full article

Background/Objectives: ¹⁸F-PSMA-1007 is one of the more widely used radioligands in prostate cancer imaging with PET/CT. Its major advantage lies in the low urinary tracer activity due to primarily hepatobiliary clearance, but unexpectedly high tracer accumulation in the bladder can occur, potentially hindering assessment of lesions near the prostate bed. This study assesses the impact of furosemide on ¹⁸F-PSMA-1007 tracer accumulation in the bladder. Methods: In this single-center, retrospective, intra-individual comparative analysis, 18 patients undergoing two consecutive ¹⁸F-PSMA-1007 PET/CT scans for biochemical relapse (BCR) or persistence (BCP)—one with and one without prior furosemide administration—were included. Images were acquired 60 min post-injection of 250 MBq of tracer activity. Standardized Uptake Values (SUVmax, SUVpeak, SUVmean) were measured in the bladder and in tissues with physiological uptake by three readers. Differences were analyzed using Wilcoxon signed-rank tests. The inter-reader agreement was assessed using intraclass correlation coefficient. Results: Furosemide significantly decreased bladder SUVmax, SUVpeak, and SUVmean (all p < 0.001). Mean bladder SUVmax decreased from 13.20 ± 10.40 to 3.92 ± 3.47, SUVpeak from 10.94 ± 8.02 to 3.47 ± 3.13, and SUVmean from 8.74 ± 6.66 to 2.81 ± 2.56, representing a large effect size (r ≈ 0.55). Physiological tracer uptake in most organs was not significantly influenced by furosemide (all p > 0.05). Conclusions: Despite the predominantly hepatobiliary clearance of ¹⁸F-PSMA-1007, furosemide-induced forced diuresis leads to a significant reduction in tracer activity in the bladder, which in clinical practice could help in early detection of tumor recurrence. Full article

The 26th annual Western Canadian Gastrointestinal Cancer Consensus Conference (WCGCCC) was held in Saskatoon, Saskatchewan, on 17–18 October 2024. The WCGCCC is an interactive multidisciplinary conference that was attended by healthcare professionals from across Western Canada (British Columbia, Alberta, Saskatchewan, and Manitoba) who are involved in the care of patients with hepatocellular and biliary tract cancers. Specialists from the fields of medical and radiation oncology, interventional radiology, pathology and laboratory medicine, and general and hepatobiliary surgery participated in presentations and discussions for the purpose of developing the recommendations presented here. This consensus statement addresses current issues in the management of hepatocellular and biliary tract cancers. Full article

Hepatobiliary diseases, which include disorders of the liver, gallbladder, and bile ducts, remain a major global health concern. A significant proportion of deaths worldwide are attributed to hepatic diseases, accounting for 4% of the total global mortality in 2023. Among benign hepatobiliary diseases, metabolic dysfunction-associated steatotic liver disease is the most prevalent liver pathology, with a concerning rise in incidence, while it is recognized as the leading cause of liver transplantation in the United States. However, there is a notable rise over time in cases of autoimmune hepatobiliary disorders, including autoimmune hepatitis, primary biliary cholangitis, and primary sclerosing cholangitis. Meanwhile, hepatocellular carcinoma still remains the most frequently diagnosed hepatobiliary malignancy, constituting the third leading cause of malignancy-related mortality globally. Meanwhile, cholangiocarcinoma and gallbladder cancer are the second and third most common hepatobiliary malignancies, respectively, both exhibiting highly aggressive malignant behavior. Despite the notable advances in biomarkers and the development of therapeutic tools, early diagnosis and monitoring are considered pivotal for the management of the aforementioned pathologies. The development of new non-invasive biomarkers that can effectively identify, monitor these pathologies, and guide their management is considered a necessity. Extracellular vesicles (EVs) constitute nanoparticles with several embedded cargoes, with a significant role in intercellular communication, which are considered promising biomarkers in several diseases, including viral, metabolic, autoimmune, and malignant diseases. In this review, we will shed light on the role of EVs as novel frontiers in hepatobiliary diseases. Full article

Background: The advent of newer pharmacological agents, particularly proprotein convertase subtilisin/kexin type 9 (PCSK-9) inhibitors, in combination with conventional lipid-lowering treatments, has allowed for the significant lowering of low-density lipoprotein cholesterol (LDL-C). However, it is unclear if very low LDL-C levels achieved with the use of PCSK-9 inhibitors are associated with increased adverse events that may outweigh potential benefits. Methods: A systematic search of PubMed, Medline, and Cochrane databases was conducted from their inception to 21 February 2025, for randomized controlled trials (RCTs) reporting clinical outcomes with intensive lipid-lowering treatment with PCSK-9 inhibitors leading to very low (<40 mg/dL) LDL-C levels vs. a control group with higher LDL-C levels. The outcomes of interest included the incidence of major adverse cardiovascular events (MACEs), neurocognitive disorders, diabetes mellitus, muscle disorders, any adverse events, events leading to drug discontinuation, cataract, hepatobiliary disorders, and cancer. Random effects meta-analysis models were used to calculate the pooled incidence and odds ratio (OR) with 95% confidence intervals (Cis). Results: A total of six RCTs with 52,951 patients (11,209 very low LDL-C, and 41,742 control) met the inclusion criteria. Compared with patients in the control arm, very low LDL-C was associated with a reduction in MACEs (OR = 0.76, 95% CI: 0.64, 0.89; p < 0.01; I² = 44.8%). The incidence of most safety outcomes including neurocognitive disorders, diabetes mellitus, muscle disorders, any adverse events, events leading to drug discontinuation, cataract, hepatobiliary disorders, and cancer were comparable between the very low LDL-C and control groups. Conclusions: Very low LDL-C values following intensive lipid-lowering with PCSK-9 inhibitors are associated with a major reduction in cardiovascular events without any significant increase in serious side effects. Full article