Search Results (538)

Prostate cancer (PCa) is the second most frequently diagnosed malignancy in men worldwide. Although traditionally considered a disease of older men, the incidence of early-onset PCa (diagnosis < 55 years) is steadily rising. Advances in screening and therapy have significantly improved survival, creating a growing cohort of younger survivors for whom post-treatment quality of life—notably reproductive function—is paramount. Curative treatments such as radical prostatectomy, pelvic radiotherapy, androgen-deprivation therapy (ADT), and chemotherapy often cause irreversible infertility via multiple mechanisms, including surgical disruption of the ejaculatory tract, endocrine suppression of spermatogenesis, direct gonadotoxic injury to the testes, and oxidative sperm DNA damage. Despite these risks, fertility preservation is frequently overlooked in pre-treatment counseling, leaving many patients unaware of their options. This narrative review synthesizes current evidence on how PCa therapies impact male fertility, elucidates the molecular and physiological mechanisms of iatrogenic infertility, and evaluates both established and emerging strategies for fertility preservation and restoration. Key interventions covered include sperm cryopreservation, microsurgical testicular sperm extraction (TESE), and assisted reproductive technologies (ART). Psychosocial factors influencing decision-making, novel biomarkers predictive of post-treatment spermatogenic recovery, and long-term offspring outcomes are also examined. The review underscores the urgent need for timely, multidisciplinary fertility consultation as a routine component of PCa care. As PCa increasingly affects men in their reproductive years, proactively integrating preservation into standard oncologic practice should become a standard survivorship priority. Full article

Gastric cancer traditionally affects older adults, and its precursor lesions and risk factors are well-documented in this population. Helicobacter pylori (H. pylori) infection remains highly prevalent in Saudi Arabia and contributes to gastric pathology. However, early-onset gastric cancer (EOGC), diagnosed in individuals aged ≤ 45 years, presents unique challenges and remains poorly understood in young populations. Therefore, we conducted an observational cohort study using a prospective longitudinal design (2021–2024) involving 1823 Saudi nationals aged 18–45 years who underwent zoom high-definition chromoendoscopy to evaluate the prevalence of premalignant gastric lesions (PGLs) and EOGC. We found a high H. pylori prevalence (78.0%) with PGLs in 1.9% of participants and EOGC-adenocarcinoma in 0.7% of patients. All EOGC cases arose from dysplasia, with most PGLs being classified as OLGA/OLGIM stage II/III. Multiple risk factorswere significantly associated with PGLs and EOGC, including H. pylori infection (p = 0.022), increasing age (p < 0.001), a family history of gastric cancer (p < 0.001), poor dietary habits (p < 0.001), obesity (p < 0.001), and smoking (p < 0.001). Additional EOGC risk factors include dage of 36–45 years (p = 0.018), EBV infection (p = 0.016), and diabetes mellitus (p = 0.001). These findings demonstrate the notable presence of PGLs and EOGC in young Saudi adults and emphasize the importance of early detection and risk factor management in this vulnerable population. Full article

Background/Objectives: The RTK-RAS signaling cascade is a central axis in colorectal cancer (CRC) pathogenesis, governing cellular proliferation, survival, and therapeutic resistance. Somatic alterations in key pathway genes—including KRAS, NRAS, BRAF, and EGFR—are pivotal to clinical decision-making in precision oncology. However, the integration of these genomic events with clinical and demographic data remains hindered by fragmented resources and a lack of accessible analytical frameworks. To address this challenge, we developed AI-HOPE-RTK-RAS, a domain-specialized conversational artificial intelligence (AI) system designed to enable natural language-based, integrative analysis of RTK-RAS pathway alterations in CRC. Methods: AI-HOPE-RTK-RAS employs a modular architecture combining large language models (LLMs), a natural language-to-code translation engine, and a backend analytics pipeline operating on harmonized multi-dimensional datasets from cBioPortal. Unlike general-purpose AI platforms, this system is purpose-built for real-time exploration of RTK-RAS biology within CRC cohorts. The platform supports mutation frequency profiling, odds ratio testing, survival modeling, and stratified analyses across clinical, genomic, and demographic parameters. Validation included reproduction of known mutation trends and exploratory evaluation of co-alterations, therapy response, and ancestry-specific mutation patterns. Results: AI-HOPE-RTK-RAS enabled rapid, dialogue-driven interrogation of CRC datasets, confirming established patterns and revealing novel associations with translational relevance. Among early-onset CRC (EOCRC) patients, the prevalence of RTK-RAS alterations was significantly lower compared to late-onset disease (67.97% vs. 79.9%; OR = 0.534, p = 0.014), suggesting the involvement of alternative oncogenic drivers. In KRAS-mutant patients receiving Bevacizumab, early-stage disease (Stages I–III) was associated with superior overall survival relative to Stage IV (p = 0.0004). In contrast, BRAF-mutant tumors with microsatellite-stable (MSS) status displayed poorer prognosis despite higher chemotherapy exposure (OR = 7.226, p < 0.001; p = 0.0000). Among EOCRC patients treated with FOLFOX, RTK-RAS alterations were linked to worse outcomes (p = 0.0262). The system also identified ancestry-enriched noncanonical mutations—including CBL, MAPK3, and NF1—with NF1 mutations significantly associated with improved prognosis (p = 1 × 10⁻⁵). Conclusions: AI-HOPE-RTK-RAS exemplifies a new class of conversational AI platforms tailored to precision oncology, enabling integrative, real-time analysis of clinically and biologically complex questions. Its ability to uncover both canonical and ancestry-specific patterns in RTK-RAS dysregulation—especially in EOCRC and populations with disproportionate health burdens—underscores its utility in advancing equitable, personalized cancer care. This work demonstrates the translational potential of domain-optimized AI tools to accelerate biomarker discovery, support therapeutic stratification, and democratize access to multi-omic analysis. Full article

The recent identification of early-onset mutational signatures with geographic variations by Diaz-Gay et al. is a significant finding, since early-onset colorectal cancer has emerged as an alarming public health challenge in the past two decades, and the pathomechanism remains unclear. Environmental risk factors, including lifestyle and diet, are highly suspected. The identification of colibactin from Escherichia coli as a potential pathogenic source is a major step forward in addressing this public health challenge. Therefore, the following opinion manuscript aims to outline the likely onset of the pathomechanism and the critical role of acquired Piezo2 channelopathy in early-onset colorectal cancer, which skews proton availability and proton motive force regulation toward E. coli within the microbiota–host symbiotic relationship. In addition, the colibactin produced by the pks island of E. coli induces host DNA damage, which likely interacts at the level of Wnt signaling with Piezo2 channelopathy-induced pathological remodeling. This transcriptional dysregulation eventually leads to tumorigenesis of colorectal cancer. Mechanotransduction converts external physical cues to inner chemical and biological ones. Correspondingly, the proposed quantum mechanical free-energy-stimulated ultrafast proton-coupled tunneling, initiated by Piezo2, seems to be the principal and essential underlying novel oscillatory signaling that could be lost in colorectal cancer onset. Hence, Piezo2 channelopathy not only contributes to cancer initiation and impaired circadian regulation, including the proposed hippocampal ultradian clock, but also to proliferation and metastasis. Full article

About 10% of all forms of melanoma occur in a familial context and may be due to germline predisposing mutations transmitted as autosomal dominant traits within the affected families. CDKN2A is a highly penetrant gene associated to familial melanomas, being responsible of up to 40% of the cases. Other high, moderate, and low penetrance genes are being discovered, even if their own contribution to melanoma risk is still under debate. Indeed, next generation sequencing-based strategies enable large genomic regions to be analyzed, thus identifying novel candidate genes. These strategies, in diagnostic settings, may also improve the identification of the hereditary cases between all melanomas. The identification of the at-risk subjects gives an important opportunity for cancer surveillance in order to reduce the risk of onset and/or make early diagnosis. In addition, the identification of molecular biomarkers may drive the future development of specific targeted therapies, as already done for other inherited cancer syndromes. Here, we summarize the state of the art regarding the molecular basis of the hereditary susceptibility to develop melanoma. Full article

Background/Objectives: Obstetrical monitoring following radical trachelectomy (RT) for cervical cancer is marked by the lack of a standardized protocol, which may lead to delays in the intervention for cervical shortening. In light of the typical cervical remodeling process that occurs at the onset of labor, we hypothesized that the onset of premature cervical shortening in patients who have undergone radiotherapy commences at the internal ostium. Methods: We introduced the concepts of internal distance (distance between internal cervical ostium and cerclage thread) and the latent shortening of internal distance, which is characterized as a painless reduction in the internal distance, serving as an early marker of preterm contractions, thus enabling timely tocolytic intervention. Results: Three patients spontaneously conceived after RT. They were obstetrically followed-up after RT, using a combined approach of transvaginal ultrasound cervical markers and cardiotocography. Active tocolysis was used if internal distance shortening was observed. All patients delivered term healthy babies. Conclusions: The consistent ultrasound evaluation of both internal and external distances permits the proactive diagnosis of premature contractions and enables swift therapeutic measures. Full article

Background/Objectives: The Janus kinase-signal transducer and activator of transcription (JAK-STAT) signaling pathway is a critical mediator of immune regulation, inflammation, and cancer progression. Although implicated in colorectal cancer (CRC) pathogenesis, its molecular heterogeneity and clinical significance remain insufficiently characterized—particularly within early-onset CRC (EOCRC) and across diverse treatment and demographic contexts. We present AI-HOPE-JAK-STAT, a novel conversational artificial intelligence platform built to enable the real-time, natural language-driven exploration of JAK/STAT pathway alterations in CRC. The platform integrates clinical, genomic, and treatment data to support dynamic, hypothesis-generating analyses for precision oncology. Methods: AI-HOPE-JAK-STAT combines large language models (LLMs), a natural language-to-code engine, and harmonized public CRC datasets from cBioPortal. Users define analytical queries in plain English, which are translated into executable code for cohort selection, survival analysis, odds ratio testing, and mutation profiling. To validate the platform, we replicated known associations involving JAK1, JAK3, and STAT3 mutations. Additional exploratory analyses examined age, treatment exposure, tumor stage, and anatomical site. Results: The platform recapitulated established trends, including improved survival among EOCRC patients with JAK/STAT pathway alterations. In FOLFOX-treated CRC cohorts, JAK/STAT-altered tumors were associated with significantly enhanced overall survival (p < 0.0001). Stratification by age revealed survival advantages in younger (age < 50) patients with JAK/STAT mutations (p = 0.0379). STAT5B mutations were enriched in colon adenocarcinoma and correlated with significantly more favorable trends (p = 0.0000). Conversely, JAK1 mutations in microsatellite-stable tumors did not affect survival, emphasizing the value of molecular context. Finally, JAK3-mutated tumors diagnosed at Stage I–III showed superior survival compared to Stage IV cases (p = 0.00001), reinforcing stage as a dominant clinical determinant. Conclusions: AI-HOPE-JAK-STAT establishes a new standard for pathway-level interrogation in CRC by empowering users to generate and test clinically meaningful hypotheses without coding expertise. This system enhances access to precision oncology analyses and supports the scalable, real-time discovery of survival trends, mutational associations, and treatment-response patterns across stratified patient cohorts. Full article

The advent of immune checkpoint inhibitors (ICIs) has revolutionized cancer treatment, significantly improving patient outcomes across multiple malignancies. Nonetheless, these therapies are associated with immune-related adverse effects, including cardiotoxicity, which remains a critical concern. This review provides a comprehensive analysis of ICI-related cardiotoxicity, encompassing its pathophysiological mechanisms, risk factors, diagnostic modalities, and management strategies. The onset of cardiotoxicity varies widely, ranging from acute myocarditis to long-term cardiovascular complications. Early identification through clinical assessment, biomarkers, and advanced imaging techniques is crucial for timely intervention. Management strategies include high-dose corticosteroids, other immunosuppressive agents, and supportive therapies, with a focus on balancing oncologic efficacy and cardiovascular safety. Additionally, rechallenging patients with ICIs following cardiotoxic events remains a complex clinical decision requiring multidisciplinary evaluation. As immunotherapy indications expand to include high-risk populations in a curative setting too, optimizing screening, prevention, and treatment strategies is essential to mitigate cardiovascular risks. A deep understanding of the molecular and clinical aspects of ICI-related cardiotoxicity will enhance patient safety and therapeutic decision-making, underscoring the need for ongoing research in this rapidly evolving field. Full article

Pancreatic ductal adenocarcinoma (PDAC) remains among the most lethal malignancies, with a five-year survival rate below 12%, largely attributable to its asymptomatic onset, late-stage diagnosis, and limited curative treatment options. Although PDAC accounts for approximately 3% of all cancers, it is projected to become the second leading cause of cancer-related mortality in the United States by 2030. A major contributor to its dismal prognosis is the lack of validated early detection strategies for asymptomatic individuals. In this review, we present a comprehensive synthesis of current advances in the early detection of PDAC, with a focus on the identification of high-risk populations, novel biomarker platforms, advanced imaging modalities, and artificial intelligence (AI)-driven tools. We highlight high-risk groups—such as those with new-onset diabetes after age 50, pancreatic steatosis, chronic pancreatitis, cystic precursor lesions, and hereditary cancer syndromes—as priority populations for targeted surveillance. Novel biomarker panels, including circulating tumor DNA (ctDNA), miRNAs, and exosomes, have demonstrated improved diagnostic accuracy in early-stage disease. Recent developments in imaging, such as multiparametric MRI, contrast-enhanced endoscopic ultrasound, and molecular imaging, offer improved sensitivity in detecting small or precursor lesions. AI-enhanced radiomics and machine learning models applied to prediagnostic CT scans and electronic health records are emerging as valuable tools for risk prediction prior to clinical presentation. We further refine the Define–Enrich–Find (DEF) framework to propose a clinically actionable strategy that integrates these innovations. Collectively, these advances pave the way for personalized, multimodal surveillance strategies with the potential to improve outcomes in this historically challenging malignancy. Full article

Background: Immune checkpoint inhibitors (ICIs) transformed cancer treatment, producing significant survival benefits. However, ICIs can trigger toxicities called immune-related adverse events (irAEs), including inflammatory arthritis (IA) and polymyalgia rheumatica (PMR)-like syndromes. Our study aimed to systematically further characterize musculoskeletal ultrasound (MSKUS) findings in patients with ICI-IA and ICI-PMR, collectively referred to as “MSK-irAEs”, and explore the role of US in guiding treatment. Methods: The authors conducted a comprehensive chart review for patients receiving ICIs undergoing MSKUS at our center’s rheumatology clinics. US examinations were performed and reviewed by two MSKUS-certified rheumatologists. Descriptive statistics were performed to summarize demographic, clinical, and treatment-related variables. US findings were categorized with a novel scoring system: 0—no signs of inflammatory arthropathy or tendinopathy, 1—potential signs of inflammation (grayscale ≥ 2, effusion without power Doppler, synovial hypertrophy in the joint), and 2—active inflammation in joints and/or tendons (characterized by power Doppler) and signs of inflammation. Results: Twenty-three patients were included. The median age was 63 years, 52% were male, and 87% were White. Melanoma was the most common cancer (48%). MSK-irAEs were diagnosed in nineteen (83%), with MSKUS showing inflammation in seventeen (74%). Sixteen (70%) received escalation in MSK-irAE treatment after MSKUS. Four (17%) had erosive disease due to MSK-irAEs, while one had erosive osteoarthritis. Individuals with inflammatory erosive changes experienced prolonged intervals between symptom onset and MSKUS, ranging from 17 to 82 months, suggesting that erosions may reflect chronic, under-recognized inflammation. On MSK-irAE therapy, nine (47%) experienced symptomatic improvement, five (26%) achieved resolution, and in four (21%) cases, it was too early to assess the response. MSKUS detected other causes of MSK symptoms besides MSK-irAEs in several patients, allowing ICI resumption in one. Conclusions: Our study highlights the clinical utility of MSKUS not only as a diagnostic tool but also to guide therapeutic decision-making. Full article

In November 2024, the fourth annual Symposium focusing on early-age onset cancer (EAOC) was hosted by the Colorectal Cancer Resource & Action Network (CCRAN), assembling clinicians, researchers, and patients virtually to discuss challenges in early detection and diagnosis of individuals afflicted with EAOC across tumour types. The meeting addressed the rising rates of EAOC and identified strategies to overcome barriers to timely detection and diagnosis by closing gaps in public and healthcare provider knowledge on symptoms of cancer in younger adults and reducing inequities in standard screening for younger age groups. Discussions also encompassed the various factors that serve as impediments to accessing diagnostic testing and obtaining results, as well as the critical need for access to diagnostics such as comprehensive genomic profiling (CGP), the results of which could be imperative in helping to guide clinical decisions regarding effective and well-tolerated targeted therapies. The Symposium generated key calls to action regarding increasing EAOC education and awareness among primary care providers and the public, re-evaluation of cancer screening programs’ eligibility criteria to include younger populations, and mechanisms to reduce waiting times for diagnostic testing by addressing technologist shortages and improving access to CGP through national collaborative strategies and increased funding. Full article

Introduction: Ovarian cancer (OC) is one of the most common gynecologic malignancies and has the highest mortality rate among them. OC has a multifactorial pathogenesis and is characterized by silent onset, progression, and late-stage detection. Therefore, accurate and early detection is of great importance in order to improve survival rates. Emerging evidence reveals that tumor markers are valuable diagnostic and monitoring tools. In this study, we evaluated the aforementioned potential of three markers CA-125, CA 15-3, and serum Calprotectin. CA-125 is a protein that is found elevated in cases of ovarian, breast, and lung cancer. Cancer Antigen 15-3 (CA 15-3) is a protein detected in high levels in women with breast cancer and ovarian cancer and it is significantly elevated in patients with metastasis and recurrence of OC. Calprotectin is a protein released from activated neutrophils, related to inflammatory conditions and can be a potential immune-mediated marker in OC. Purpose: The purpose of this study was to explore the significance of serum calprotectin, CA-125, and CA 15-3 in women diagnosed with serous OC. Methodology: Thirty-eight (38) women with diagnosed OC were included in this research as the study group and twenty-seven (27) healthy women with no history or current diagnosis of OC were included in the control group. Women in both groups shared similar past histories to avoid any other parameters interfering with the study. Our study group was further subdivided into early stage and advanced stage patients. Blood samples were collected from all women of both groups and were examined using ELISA kits to evaluate the levels of the above markers. Results: When comparing patients versus control patients, those with OC exhibited higher levels of Calprotectin compared to healthy individuals. Additionally, Calprotectin showed a statistically significant elevation between the control group and advanced patients. CA-125 remains the current standard of care biomarker exhibiting 90% sensitivity, whereas sensitivities in Calprotectin and CA 15-3 were 60% and 50%, respectively. Conclusions: Serum CA-125 remains the single most valuable biomarker for ovarian cancer, having the highest statistical significance, correlation with disease stage, detecting both early or advanced patients, and sensitivity of 90%. It appears to be a promising inflammatory biomarker in the early diagnosis of ovarian cancer, showing an elevation in patients, while CA 15-3 provides moderate complementary information and exhibits inferior sensitivity when compared to both CA-125 and Calprotectin. The latter appears to be a promising marker and further studies could show if its addition to established protocols could improve early detection, disease progression, or risk stratification. Calprotectin enhances the detection range for ovarian cancer when used alongside CA-125, while this combined approach detected a greater proportion of patients than CA-125 alone, indicating improved diagnostic potential. Full article

The rising incidence of early-onset colorectal cancer (EOCRC), particularly among underrepresented populations, highlights the urgent need for tools that can uncover clinically meaningful, population-specific genomic alterations. The phosphoinositide 3-kinase (PI3K) pathway plays a key role in tumor progression, survival, and therapeutic resistance in colorectal cancer (CRC), yet its impact in EOCRC remains insufficiently explored. To address this gap, we developed AI-HOPE-PI3K, a conversational artificial intelligence platform that integrates harmonized clinical and genomic data for real-time, natural language-based analysis of PI3K pathway alterations. Built on a fine-tuned biomedical LLaMA 3 model, the system automates cohort generation, survival modeling, and mutation frequency comparisons using multi-institutional cBioPortal datasets annotated with clinical variables. AI-HOPE-PI3K replicated known associations and revealed new findings, including worse survival in colon versus rectal tumors harboring PI3K alterations, enrichment of INPP4B mutations in Hispanic/Latino EOCRC patients, and favorable survival outcomes associated with high tumor mutational burden in FOLFIRI-treated patients. The platform also enabled context-specific survival analyses stratified by age, tumor stage, and molecular alterations. These findings support the utility of AI-HOPE-PI3K as a scalable and accessible tool for integrative, pathway-specific analysis, demonstrating its potential to advance precision oncology and reduce disparities in EOCRC through data-driven discovery. Full article

The global increase in early-onset cancers among adolescents and young adults has happened at the same time as the rise in the consumption of ultra-processed foods (UPFs). Far beyond their poor nutritional quality, UPFs are increasingly seen as Trojan horses, complex biological agents that interfere with many functions of the human organism. In this review, we utilise the Trojan horse model to explain the quiet and building health risks from UPFs as foods that seem harmless, convenient, and affordable while secretly delivering endocrine-disrupting chemicals (EDCs), causing chronic low-grade inflammation, altering the microbiome, and producing epigenetic alterations. We bring together new proof showing that UPFs mess up hormonal signals, harm the body’s ability to fight off harmful germs, lead to an imbalance of microbes, and cause detrimental changes linked to cancer. Important components, such as bisphenols and phthalates, can migrate from containers into food, while additional ingredients and effects from cooking disrupt the normal balance of cells. These exposures are especially harmful during vulnerable developmental periods and may lay the groundwork for disease many years later. The Trojan horse model illustrates the hidden nature of UPF-related damage, not through a sudden toxin but via chronic dysregulation of metabolic, hormonal, and genetic control. This model changes focus from usual diet worries to a bigger-picture view of UPFs as causes of life-disrupting damage. Ultimately, this review aims to identify gaps in current knowledge and epidemiological approaches and highlight the need for multi-omics, long-term studies and personalised nutrition plans to assess and reduce the cancer risk associated with UPFs. Recognising UPFs as a silent disruptor is crucial in shaping public health policies and cancer prevention programs targeting younger people. Full article

While the incidence of colorectal cancer (CRC) in patients above 50 years old has been decreasing over the last several decades, the incidence of CRC among younger patients has been increasing. Early-onset CRC (EO-CRC) is known to exhibit distinct characteristics including specific genetic mutations and modifiable risk factors, which warrants tailored screening and management approaches. This review synthesizes current insights on EO-CRC’s epidemiological, genetic, molecular, and clinical features, as well as a call for action for future research on prevention and clinical management. Full article