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Comparative Efficacy of Non-opioid Analgesic Drugs for Chronic Cancer Pain: A Bayesian Network Meta-analysis.

PURPOSE: While opioids remain the primary pharmacological intervention for cancer pain management, their clinical utility is frequently compromised by dose-limiting toxicities. This study aimed to determine the comparative efficacy, opioid-sparing potential, and clinical hierarchy of non-opioid adjuvant drug classes. The study was structured around the PICO framework to evaluate the pharmacological strategies currently utilized in multimodal clinical oncology. METHODS: A systematic search of electronic databases (PubMed, Embase, Cochrane) was conducted for randomized controlled trials (RCTs) published between 2000 and 2025. The primary outcome was global analgesic efficacy (standardized mean difference [SMD]), while secondary outcomes included the opioid-sparing effect, defined as the percentage reduction in morphine equivalent daily dose (MEDD) and the incidence of treatment-emergent adverse events (Harms). A Bayesian network meta-analysis (NMA) was performed to rank treatments using SUCRA values. The methodological quality was assessed using the Cochrane Risk of Bias (RoB 2.0) tool. RESULTS: Twenty-three RCTs (n = 1845) met the inclusion criteria. Nonsteroidal anti-inflammatory drugs (NSAIDs) (-1.10) and anticonvulsants (-1.06) demonstrated the most robust analgesic effects. The SUCRA ranking confirmed a clear hierarchy, with the combination of anticonvulsants and antidepressants showing the highest probability of efficacy. A significant opioid-sparing effect was observed for gabapentinoids and ketamine, facilitating MEDD reduction. While serious adverse events were rare, minor harms (somnolence, dizziness) were more frequent in the most effective classes. CONCLUSION: Our NMA provides a robust evidence base for a "Clinical Tier" system, ranking adjuvants by their balance of efficacy and safety. These findings support the early integration of Tier I agents (anticonvulsants and NSAIDs) to optimize pain control and reduce opioid-related toxicities in chronic cancer pain management.

Humans

Novel environmental contaminant 6PPD-quinone promotes malignant phenotypes in colorectal cancer cells and identifies candidate response-associated genes.

6PPD-quinone (6PPDQ), an oxidative transformation product of the widely used tire antioxidant 6PPD, is a ubiquitous environmental contaminant with bioaccumulation potential and widespread human exposure. Recent epidemiological evidence indicates a positive association between urinary 6PPDQ levels and colorectal cancer (CRC) risk; however, its biological effects on CRC-related phenotypes and associated molecular responses remain unclear. We integrated bioinformatics analysis, prognostic modeling, molecular docking and dynamics simulations, and in vitro experiments to investigate cellular and molecular responses to 6PPDQ in CRC models. Predicted 6PPDQ targets were intersected with CRC prognosis-related genes from The Cancer Genome Atlas, followed by functional enrichment and LASSO regression to construct a prognostic risk model, with 1-, 3-, and 5-year AUC values of 0.727, 0.754, and 0.778, respectively. Molecular docking and 100-ns molecular dynamics simulations suggested interactions between 6PPDQ and candidate proteins, including CPT2, SHC2, SRMS, and STK35. Functional assays showed that 6PPDQ exposure altered proliferation, wound-closure capacity, and invasion in Caco-2 and HCT116 cells across the nanomolar concentration range, with non-monotonic and cell-line-dependent responses. In contrast, NCM460 cells showed no increase in EdU incorporation at 10 or 100 nM, whereas reduced proliferation at higher concentrations was accompanied by increased LDH release. 6PPDQ also altered the expression of several prognosis-associated candidate genes. These findings identify cellular phenotypes and candidate molecular responses associated with 6PPDQ exposure under the tested in vitro conditions, but do not establish their causal roles or in vivo relevance. Further mechanistic and in vivo studies are required.

Humans

Eating Experiences During Cancer Treatment in Adolescents and Young Adults: A Systematic Literature Review and Meta-Synthesis.

Adolescents and young adults (AYAs) aged 15-39 with cancer face distinct challenges during treatment, with eating consistently emerging as one of the most distressing and underrecognized concerns. At a critical life stage, AYAs must navigate illness-related consequences that profoundly affect well-being. Eating reflects these broader challenges and is identified as a key issue requiring health care attention. To address this, we synthesized evidence on AYAs' eating experiences and well-being during mealtime-related activities to inform health care practice. Qualitative and mixed-method studies were identified through searches across CINAHL, Embase, PubMed, Scopus, and Web of Science for studies published up to May 2025, supplemented by snowball searches. Of 3214 records, 74 full-text articles were reviewed, and 18 met the inclusion criteria. These represented 302 AYAs, 73 relatives, and 88 health care professionals. Studies were analyzed using Joanna Briggs Institute review methods and GRADE-CERQual to support clinical interpretability. The meta-synthesis identified one core theme: "Eating as an embodied struggle and act of agency," with three subthemes: (a) living through physical and sensory disruption, (b) carrying the weight of new emotions and shifting relations, and (c) finding ways through gaps in support. Eating emerged as a disrupted, emotionally charged, yet agentic act requiring sensitive, individualized approaches. Thirteen evidence-informed recommendations were developed to guide clinical application. These emphasize early nutritional screening, dietetic support, flexible meal options, respectful family involvement, and psychosocially attuned care. Future research should codevelop and evaluate tailored interventions that address AYAs' embodied, emotional, and social needs to improve eating-related quality of life during cancer treatment.

Humans

Efficacy of Mindfulness-Based Interventions on Anxiety and Sleep Quality in Patients with Breast Cancer: A Systematic Review and Meta-Analysis.

INTRODUCTION: Patients with breast cancer commonly experience anxiety and sleep disturbance during and after treatment, and these symptoms are closely interrelated, negatively affecting the quality of life. Mindfulness-based interventions (MBIs) have been increasingly used as a nonpharmacological supportive approach. This systematic review and meta-analysis aimed to evaluate the effects of MBIs on anxiety and sleep quality in patients with breast cancer. METHODS: A systematic search of PubMed, Web of Science, Cochrane Library, CINAHL, and Embase was conducted up to May 15, 2025. Random-effects meta-analysis was used to estimate standardized mean differences (SMDs) with 95% confidence intervals (CIs). Risk of bias was assessed using the Cochrane RoB 2.0, and the certainty of evidence was evaluated with Grading of Recommendations, Assessment, Development, and Evaluation. RESULTS: Twenty-four randomized controlled trials (RCTs) including 3,212 participants were analyzed. MBIs significantly reduced anxiety compared with control groups receiving usual care, no intervention, or wait-list conditions (SMD: -0.47, 95% CI: -0.62 to -0.32), whereas no significant effect was observed for sleep quality. Subgroup analysis indicated that intervention duration accounted for 55.5% of the heterogeneity in anxiety outcomes. All studies were rated as having some concerns regarding risk of bias, primarily due to self-reported outcomes and lack of blinding. Certainty of evidence was moderate for anxiety and low for sleep quality. DISCUSSION: MBIs appear to be effective in reducing anxiety among patients with breast cancer; however, no significant effect was observed for sleep quality. All included studies were rated as having some concerns regarding risk of bias, and the limited reporting of adverse events represents a limitation of the evidence. In addition, substantial heterogeneity in sleep quality outcomes and the limited number of included RCTs restrict exploration of heterogeneity sources and limit generalizability. Further high-quality well-designed RCTs are needed to strengthen and confirm the evidence.

Female

Obstructive sleep apnea and long-term risk of site-specific cancers: A population-based cohort study.

BACKGROUND: Obstructive sleep apnea is common, but its long-term association with site-specific cancers remains unclear. In this study, we examined 15-year risks of site-specific cancers in people with obstructive sleep apnea compared with the general population and to people with overweight or obesity. METHODS: We conducted a nationwide population-based cohort study using Danish registries, 1995-2021. People diagnosed with obstructive sleep apnea were compared with the general population and to people with overweight or obesity. Adjusted (weighted) 15-year risks, risk differences, and risk ratios (RRs) were estimated using the Aalen-Johansen estimator. Confounding was addressed using standardized morbidity ratio weighting. RESULTS: The study included 114,264 people with obstructive sleep apnea, 115,497 members of the general population, and 113,034 with overweight or obesity. After weighting, the distributions of sex (74% male), age (median 53 years), and comorbidities were comparable across the three cohorts. Obstructive sleep apnea was associated with an increased risk of cancers of the brain (adjusted 15-year risk: 5.78 vs. 3.61 per 1,000 persons; aRR 1.60 [95% CI 1.43-1.78]) and spinal cord (1.65 vs. 1.17 per 1,000 persons; aRR 1.41 [95% CI 1.16-1.72]) compared with the general population. Associations persisted when the obstructive sleep apnea cohort was compared with those with overweight or obesity. No associations were observed for other site-specific cancers. CONCLUSION: Obstructive sleep apnea was associated with an increased risk of brain and spinal cord cancers. These findings highlight the importance of effective prevention of obstructive sleep apnea and the need for further research on treatment.

Cohort Study

Comparative effectiveness and safety of pharmacological interventions for sleep outcomes in chronic non-cancer pain: a systematic review and network meta-analysis.

Sleep disturbances are highly prevalent among individuals with chronic non-cancer pain and are associated with worse pain severity and poorer prognosis. The comparative trade-offs between the effectiveness and safety of available pharmacotherapies for sleep outcomes in this population remain poorly defined. Ninety-eight RCTs involving 28,920 participants (mean age 53.2 years, 71.2% female) were included. Moderate-certainty evidence demonstrated that melatonin significantly improved sleep quality compared with placebo (standardized mean difference [SMD] = -0.60, 95%CI: -0.98, -0.22). Ten agents (e.g., amitriptyline, oxycodone, gabapentin, pregabalin, duloxetine) also showed statistically significant improvements in subjective sleep quality (SMD = -0.24 to -1.07), but most effects were supported by low-certainty evidence and were accompanied by an increased risk of adverse events (odds ratio [OR] = 1.90 to 37.00). Conversely, melatonin was not associated with an increased risk (OR = 0.88, 95%CI: 0.19, 3.94). Our findings indicate that melatonin shows promise as a safe, adjunctive option for improving sleep quality in this population, but larger, condition-specific trials are warranted to confirm these effects. Other pharmacological agents are limited by lower-certainty and unfavorable safety profiles. These results should be interpreted cautiously given limited direct comparisons, heterogeneous chronic pain populations, the high proportion of trials at high risk of bias, and the predominance of subjective sleep outcomes.

Humans

Intersphincteric resection versus abdominoperineal resection for lower rectal cancer: A systematic review and meta-analysis.

BACKGROUND: The optimal surgical approach for lower rectal cancer (LRC) remains debated, particularly between intersphincteric resection (ISR) and abdominoperineal resection (APR). While ISR offers potential sphincter preservation, its oncological efficacy compared to APR is unclear. METHODS: A systematic review was conducted to compare clinical and oncological outcomes of ISR versus APR in LRC patients. On December 8, 2024, a comprehensive search of Medline, Embase, Cochrane Library, Scopus, and Web of Science identified 24 retrospective studies involving 4502 patients. Key outcomes analyzed included positive circumferential resection margin (CRM), number of harvested lymph nodes (LNs), local recurrence (LR), length of hospital stay (LOS), early postoperative complications, and survival. RESULTS: Twenty-four retrospective studies involving 4502 patients (ISR: 2266 (50.3%) and APR: 1558 (34.6%)) met the eligibility criteria. ISR was associated with significantly lower rates of positive CRM (risk ratio (RR): 0.41, p&#x202f;<&#x202f;0.001), decreased early postoperative complications (RR: 0.76, p&#x202f;<&#x202f;0.001), lower LR (RR: 0.63, p&#x202f;=&#x202f;0.0038), and improvement in five-year overall survival (5YOS) (hazard ratio (HR)&#x202f;=&#x202f;0.42, p&#x202f;<&#x202f;0.001) and five-year disease-free survival (5YDFS) (HR&#x202f;=&#x202f;0.59, p&#x202f;<&#x202f;0.001). CONCLUSIONS: ISR demonstrates several advantages over APR in selected LRC patients, including lower rates of positive CRM, fewer early postoperative complications, reduced LR, greater LN harvest, shorter LOS, and improved long-term survival outcomes (5YOS and 5YDFS). Therefore, ISR can be considered a safe and effective alternative to APR in appropriately chosen patients, with careful patient selection and surgical expertise remaining essential.

Humans

Population-level impact of HPV vaccination: a global systematic review of ecological, cross-sectional, and cohort studies.

BACKGROUND: Human papillomavirus (HPV) causes approximately 4.5% of cancers globally, with the highest burden in low- and middle-income countries (LMICs). Since their introduction in 2006, HPV vaccination programs have led to substantial declines in HPV-related outcomes, although impact varies across settings. RESEARCH DESIGN AND METHODS: We conducted a systematic review to evaluate the population-level impact of HPV vaccination on HPV infection, cervical intraepithelial neoplasia grade 2 or higher (CIN2+), genital warts, invasive cervical cancer (ICC), and oropharyngeal cancer (OPC), and examined the influence of coverage, age at initiation, and vaccine type. The review followed PRISMA 2020. RESULTS: Of 13,549 records screened, 63 were included: 9 assessed HPV infection, 24 on CIN2+, 25 on genital warts, and 7 on ICC. Greatest reductions were observed in settings with at least 70% coverage and early vaccination prior to sexual debut, typically achieved through school-based programs. Reported declines ranged from 58-100% for HPV infection, 30-88% for CIN2+, 60-90% for genital warts, and 70-88% for ICC. CONCLUSIONS: HPV vaccination offers strong protection, especially when delivered early and at high coverage within schools. Expanding access and prioritizing underserved populations are essential to achieving global cancer prevention goals. Limitations include heterogeneity across designs, outcome definitions, and follow-up.

Humans

Risk factors associated with urinary tract infection within 4 days of male rectal cancer surgery in the era of enhanced recovery after surgery (ERAS) programs.

BACKGROUND: Bladder drainage is systematically used in rectal cancer surgery in male patients, even in the era of enhanced recovery after surgery (ERAS). However, little data is available on risk factors for urinary tract infection (UTI). Identifying the risk factors associated with UTI within 4&#x2009;days of male rectal cancer surgery in an ERAS program could support more individualized decision-making. METHODS: We used data from the GRECCAR 10 randomized clinical trial, a comparison of outcomes of transurethral catheterization (TUC) or suprapubic catheterization (SPC). 240 patients were randomized, 209 retained in the study (TUC n&#x2009;=&#x2009;99; SPC n&#x2009;=&#x2009;109). Univariate and multivariate logistic regression post-hoc study analyses were performed to assess association between potential predictive factors and UTI within 30&#x2009;days after surgery. RESULTS: Out of 208 patients (median age 64.5&#x2009;years), 19 (9.1%) had UTI, 26 (12.5%) had bacteriuria and 145 (69.7%) had pyuria. Univariate analysis identified age &#x2265; 65&#x2009;years (OR = 3.08 [1.07-8.89]; p&#x2009;=&#x2009;0.038), hypertension (OR = 3.65 [1.23-10.84]; p&#x2009;=&#x2009;0.020) and ASA score &#x2265; 3 (OR = 4.15 [1.53-11.2]; p&#x2009;=&#x2009;0.005) as risk factors for UTI until POD4. Multivariate analysis identified ASA score &#x2265; 3 with a risk of UTI. CONCLUSION: Regarding male rectal cancer surgery, our study shows that nearly 1 in 10 patients had UTI within 4&#x2009;days. An ASA score &#x2265; 3 is an independent risk factor linked to UTI. Identifying this risk factor for UTI is necessary to advise patients, support a tailored decision-making process, and prevent these complications.

Humans

Beyond predictive performance: A systematic review and critical methodological appraisal of AI/ML and conventional modelling strategies in breast, colorectal, and pancreatic Cancer.

BACKGROUND: Predictive modelling for cancer risk, treatment-related complications, and survival is central to precision oncology. Conventional logistic regression (LR) and Cox proportional hazards (CoxPH) regression remain widely used but are limited when modelling nonlinear interactions, high-dimensional imaging features, and multimodal clinical-metabolic predictors. Artificial intelligence (AI) and machine learning (ML) methods offer expanded capability through automated feature extraction, ensemble learning, and flexible survival modelling, but the evidence on when AI/ML adds value over conventional models across cancer sites and predictive tasks remains fragmented. OBJECTIVE: To systematically evaluate the methodological performance, validation strategies, and translational limitations of AI/ML models compared with conventional statistical models in published predictive-modelling studies for breast, colorectal, or pancreatic cancer. METHODS: PubMed, Scopus, and Web of Science were searched for studies published between January 2019 and March 2025. Two reviewers independently conducted title-and-abstract screening, full-text eligibility assessment, and PROBAST risk-of-bias assessment. Sixty-five studies (n&#xa0;=&#xa0;907,567 participants) were narratively synthesised by cancer site, predictive task, model family, comparator, validation strategy, predictor modality, and calibration or explainability reporting. RESULTS: The 65 studies comprised breast cancer (n&#xa0;=&#xa0;35), colorectal cancer (n&#xa0;=&#xa0;21), and pancreatic cancer (n&#xa0;=&#xa0;9). AI/ML superiority over LR and CoxPH was task- and data-dependent. CNN- and U-Net-based models predominated in imaging and body-composition tasks, tree-based ensembles consistently outperformed LR for tabular perioperative complication prediction, and CoxPH remained competitive, and in the largest pancreatic risk study, superior to XGBoost (C-index 0.802 vs 0.723) in well-structured datasets. PROBAST analysis-domain risk was moderate in 54 of 65 studies (83%), driven by limited external validation, sparse calibration reporting (11/65), and few decision-curve analyses (7/65). CONCLUSION: AI/ML adds the most methodological value in imaging-derived feature extraction and nonlinear perioperative prediction, while conventional regression remains preferable in large, structured datasets with linear predictors. Clinical translation requires standardised body-composition definitions, external validation, calibration assessment, decision-curve analysis, and explainability, in line with TRIPOD+AI and CLAIM standards.

Humans

Effect of Smoking in Oropharyngeal Cancer Treated With TORS: Systematic Review and Meta-Analysis.

OBJECTIVE: While smoking has been implicated as a risk factor for recurrence in HPV-associated oropharyngeal squamous cell cancer (OPSCC) treated with definitive chemoradiation, its prognostic impact on surgically treated OPSCC is less clear. DATA SOURCES: MEDLINE, Embase, CENTRAL, and Scopus. REVIEW METHODS: Articles describing patients with HPV-associated OPSCC treated with transoral robotic surgery (TORS), which reported oncologic outcomes by smoking history, were included. RESULTS: 2079 patients were included across 12 studies. Median age was 58.5&#x2009;years, and 1808 (87.0%) were male. HPV-associated disease was reported in 1681 (80.9%) patients. T stage was most commonly T2 in 831 (40.0%) and T1 in 764 (36.7%). N stage was N2 in 854 (41.1%), N1 in 544 (26.2%), and N0 in 307 (14.8%). 931 (44.8%) were considered individuals with a smoking history, while 1045 (50.3%) were considered without a smoking history. Median follow up was 33.7&#x2009;months. Meta-analysis using a fixed effects model demonstrated an overall hazard ratio of 1.4 (95% confidence interval 1.0-2.0) for disease recurrence, 2.7 (95% confidence interval 1.5-4.8) for overall survival, and 1.4 (95% confidence interval 0.4-4.6) for disease specific survival. CONCLUSIONS: In this population of predominantly HPV-associated OPSCC treated with TORS, meta-analysis demonstrated no significant difference in recurrence-free survival or disease-specific survival between individuals with and without a smoking history. Individuals with a smoking history appeared to have worse overall survival, although only five studies reported on this outcome. Further research is required to clarify the prognostic influence of smoking on OPSCC treated with TORS.

Humans

A multi-scale fusion model based on multi-phase contrast-enhanced CT for predicting pancreatic cancer resectability.

Purpose.Develop a multi-scale fusion model (MSFM) based on multi-phase contrast-enhanced computed tomography (CECT) to predict pancreatic cancer (PC) resectability, thereby assisting expert decision-making.Methods.This retrospective study enrolled 280 patients with PC from four institutions, which were randomly divided into a training cohort (202 patients) and an independent test cohort (78 patients). Three-phase CECT images (arterial, venous, and delayed phases) were used for modeling. The MSFM comprises two sub-networks: (1) a multi-phase fusion network for extracting cross-phase shared fusion features, (2) a phase-specific branch network for capturing phase-specific features; and a post-fusion strategy to generate the final predictive score by integrating the shared fusion features and three groups of phase-specific features. Additionally, a human-machine fusion deep learning model (HMfDL) was constructed by fusing the predictive score of the MSFM with expert assessments.Results.In the independent test, the MSFM achieved an AUC (area under the receiver operating characteristic curve) of 0.8385 (95% CI: 0.7521-0.9249), accuracy of 84.62%, sensitivity of 72.00%, and specificity of 90.57%. This performance outperformed single-phase models (AUC range: 0.7638-0.7781), two-phase models (AUC range: 0.7826-0.7864), and ten states-of-the-art classifiers (AUC range: 0.7404-0.7796). The HMfDL further improved the performance, reaching an AUC of 0.8626 (95% CI: 0.7853-0.9400), accuracy of 91.03%, sensitivity of 80.00%, and specificity of 96.23%. Notably, the HMfDL corrected 58.82% of misdiagnosis made by experts.Conclusions. The MSFM effectively fuses multi-phase CECT to enable highly accurate predictions of PC resectability, and provides valuable support for expert decision-making through HMfDL.

Humans

Nurse-led attribution remodeling training based on the Neuman systems model to enhance resilience, adaptive coping, and attributional style in women newly diagnosed with breast cancer: A randomized controlled trial.

BACKGROUND: Psychological interventions for patients with breast cancer often overlook the critical role of maladaptive attributional style in shaping their adjustment. Therefore, the need for theory-driven, scalable interventions that target cognitive restructuring, particularly during the vulnerable post-diagnosis period, is clear. OBJECTIVE: To evaluate the effectiveness of a nurse-led attribution remodeling training intervention grounded in the Neuman systems model for improving resilience, adaptive coping, and attributional style among women newly diagnosed with breast cancer. DESIGN: A randomized controlled trial. SETTING: A tertiary general hospital. PARTICIPANTS: A total of 130 eligible women newly diagnosed with breast cancer were recruited between March and November 2024. METHODS: A two-arm parallel-group randomized controlled trial was conducted. Participants were randomly assigned to receive either attribution remodeling training plus routine nursing (n&#xa0;=&#xa0;65) or routine nursing only (n&#xa0;=&#xa0;65). The nurse-led attribution remodeling training intervention, delivered via a blended model of in-person sessions and continued support through the WeChat mobile platform, was designed to systematically reshape maladaptive attributions into more adaptive ones. Resilience (primary indicator), coping strategy (i.e., confrontation, avoidance, resignation), and attributional style (secondary indicators) were assessed at baseline and at 1, 3, and 6&#xa0;months post-baseline. A linear mixed model was used to analyze the effects of group, time, and group-by-time interactions. Effect sizes (Cohen's D) were calculated based on the means and standard deviations. RESULTS: At the 6-month follow-up, the intervention group had better outcomes than the control group in terms of resilience (mean difference: 1.49, 95% confidence interval: 0.37, 2.61), confrontation coping (3.35 [2.33, 4.37]), and adaptive attributional style (4.16 [3.87, 4.45]). Avoidance coping showed a small increase (0.82 [0.22, 1.42]), whereas resignation coping decreased (-1.66 [-2.49, -0.83]). Group effects and group-by-time interactions were statistically significant for all outcomes. Effect sizes at 6&#xa0;months ranged from small for resilience (D&#xa0;=&#xa0;0.28) and avoidance coping (D&#xa0;=&#xa0;0.26) to moderate for confrontation coping (D&#xa0;=&#xa0;0.60) and resignation coping reduction (D&#xa0;=&#xa0;-0.51), and large for attributional style (D&#xa0;=&#xa0;0.94). CONCLUSIONS: Attribution remodeling training is a promising and effective theory-based intervention that can enhance psychological adaptation in women newly diagnosed with breast cancer. By strengthening key defense mechanisms, as conceptualized by the Neuman systems model, the program is effective, scalable, and nurse-deliverable for psycho-oncology care, bridging a critical gap in supportive cancer care and empowering nurses as primary psychological support providers. REGISTRATION: ChiCTR2000031827, registered prospectively on April 11, 2020, www.Chictr.or.cn.

Humans

One-carbon metabolism and chemotherapy-induced toxicities in patients with stage II-III colorectal cancer: a prospective cohort study.

BACKGROUND: One-carbon metabolism (OCM) is a target of the chemotherapeutic agent capecitabine. OBJECTIVES: We investigated OCM biomarker concentrations in relation to capecitabine-induced toxicities in patients with stage II-III colorectal cancer. METHODS: Within a prospective cohort, 297 patients receiving adjuvant capecitabine-based chemotherapy were included. Pretreatment plasma concentrations of the OCM biomarkers folate, vitamin B2, vitamin B6, vitamin B12, total homocysteine, methionine, serine, and glycine were determined. We also investigated whether associations differed according to methylenetetrahydrofolate reductase (MTHFR) C677T genotypes. Chemotherapy-induced toxicities were defined as toxicity-induced modifications of capecitabine treatment. To allow for inspection of shapes of the associations, restricted cubic splines and Cox proportional hazards models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) adjusted for age and sex. RESULTS: In total, 156 (53%) patients experienced toxicity-induced modifications of capecitabine treatment. Folate was not associated with toxicities in the overall population. Higher folate concentrations were associated with a lower risk of toxicities in patients with MTHFR C677T CT/TT genotype (HRperdoubling: 0.75; 95% CI: 0.57, 0.98) but not in patients with CC genotype (HRperdoubling: 1.17; 95% CI: 0.84, 1.63). Higher concentrations of vitamin B2 were associated with a lower risk of toxicities (HRperdoubling: 0.81; 95% CI: 0.67, 0.99), whereas higher glycine concentrations were associated with a higher risk of toxicities (HRperdoubling: 1.87; 95% CI: 1.18, 2.94). The association between vitamin B6 and vitamin B12 and toxicities appeared nonlinear. Homocysteine, methionine, and serine were not associated with toxicities. CONCLUSIONS: Future studies investigating whether nutrition-guided optimization of OCM biomarkers will result in improved treatment tolerance are warranted.

Humans

Unravelling Ovarian Cancer: an analysis of the Influence of LRP1 and PAI1 Genetic Variations.

To assess the potential association between LRP1 (rs715948) and PAI1 (rs2227631, rs1799889) gene variation and ovarian cancer (OC) susceptibility. This study evaluated the genotypic and allelic distributions of LRP1 gene and PAI1 gene variants using Restriction Fragment Length Polymorphism (RFLP) analysis in 134&#xa0;&#xb0;C patients and 134 healthy controls. LRP1 (rs715948) showed a significant association with OC risk. The TC genotype was (OR&#x2009;=&#x2009;3.7823, 95% CI: 2.1732-6.5825, p&#x2009;<&#x2009;0.0001), and the CC genotype has (OR&#x2009;=&#x2009;2.1613, 95% CI: 1.0054-4.6459, p&#x2009;=&#x2009;0.0484). The C allele was significantly more frequent in cases (46%) than controls (32%) (OR&#x2009;=&#x2009;1.7684, 95% CI: 1.2443-2.5133, p&#x2009;=&#x2009;0.0015). For PAI1 (rs2227631), AG and GG genotypes showed no significant association (p&#x2009;=&#x2009;0.3519 and p&#x2009;=&#x2009;0.1165, respectively). PAI1 (rs1799889) AG genotype was (OR&#x2009;=&#x2009;5.855, 95% CI: 2.4663-13.9027, p&#x2009;<&#x2009;0.0001), while GG genotype showed no significance (p&#x2009;=&#x2009;0.1025). The dominant model of LRP1, (TC&#x2009;+&#x2009;CC) and C alleles, were significantly more frequent in OC cases, indicating a potential risk factor. In contrast, the dominant models (AG&#x2009;+&#x2009;GG) and G alleles of PAI1 (rs2227631, rs1799889) showed no significance with OC susceptibility. Genetic variation in LRP1 (rs715948) significantly associated with increased OC risk, particularly the TC and CC genotypes and C allele. The C allele of this gene is key markers linked to higher OC susceptibility. Whereas in PAI1 (rs2227631, rs1799889), dominant models (AG&#x2009;+&#x2009;GG) show no significance, association suggesting a less prominent role in OC susceptibility. These findings highlight LRP1 as a potential genetic biomarker for OC risk assessment, while the role of PAI1 variants warrants further investigation in larger sample size.

Humans

Comparative efficacy and safety of pharmacokinetically guided and body surface area-based 5-fluorouracil dosing in colorectal cancer: a systematic review and meta-analysis.

BACKGROUND: Body surface area (BSA)-based 5-fluorouracil (5-FU) dosing remains the standard in colorectal cancer despite substantial interpatient pharmacokinetic variability, which may lead to underexposure, treatment failure, or severe toxicity. This systematic review and meta-analysis evaluated whether pharmacokinetically guided 5-FU dosing improves efficacy and safety compared with conventional BSA-based dosing. METHODS: PubMed/MEDLINE, Embase, and Scopus databases were searched from inception to the final search date. The search identified 1,802 records: PubMed/MEDLINE, 47; Embase, 118; and Scopus, 1,637 records. Comparative randomized and non-randomized studies evaluating pharmacokinetically guided, area under the curve-guided, or therapeutic drug monitoring-based 5-FU dosing versus BSA-based dosing in colorectal cancer were included. Random-effects models were employed. The risk of bias was assessed using RoB 2 and ROBINS-I, and the certainty of evidence was evaluated using GRADE. RESULTS: Five studies comprising 809 unique patients were included. Across the primary severe-toxicity analysis, the pooled denominator was 1,338 reported observations, including 625 in the PK-guided 5-FU dosing arm and 713 in the BSA-based 5-FU dosing arm, because one study reported severe toxicity by treatment cycle rather than by patient. PK-guided dosing was associated with lower severe or grade&#x2009;&#x2265;&#x2009;3 toxicity (RR 0.50, 95% CI 0.33-0.76; P&#x2009;=&#x2009;0.001; I&#xb2;=79%). PK-guided dosing was also associated with a higher objective response rate (RR 1.50, 95% CI 1.24-1.80; P&#x2009;<&#x2009;0.0001) and disease control rate (RR 1.18, 95% CI 1.07-1.30; P&#x2009;=&#x2009;0.001). Severe diarrhea was reduced (RR 0.33, 95% CI 0.18-0.62; P&#x2009;=&#x2009;0.0006), whereas mucositis, neutropenia/leukopenia, and hand-foot syndrome were not significantly different between dosing strategies. CONCLUSION: PK-guided 5-FU dosing was associated with lower severe toxicity and diarrhea and higher objective response and disease-control rates than conventional BSA-based dosing. However, the evidence was derived from a small and clinically heterogeneous group of studies, and progression-free or overall-survival benefits could not be established. The findings apply predominantly to metastatic colorectal cancer treated with infusional 5-FU within FOLFOX- or FOLFIRI-based regimens. CLINICAL TRIAL REGISTRATION: Not applicable. This study was a systematic review and metaanalysis, and not a clinical trial.

Humans

Accelerated Biological Aging Increases the Risk of Head and Neck Cancer: Insights From Genetic Instruments of Epigenetic Clocks.

Epigenetic clocks are robust biomarkers of biological aging and have been associated with cancer susceptibility. However, the relationship between genetically predicted epigenetic age acceleration and head and neck cancer risk remains unclear. Using a large case-control study of 2189 head and neck squamous cell carcinoma (HNSCC) cases and 2189 age- and sex-matched controls, we investigated the associations between polygenic scores (PGSs) for multiple epigenetic clocks and HNSCC risk, and evaluated their potential causal roles using two-sample Mendelian randomization (MR). Genome-wide association study (GWAS)-identified single nucleotide polymorphisms (SNPs) associated with four epigenetic clocks (HannumAge, HorvathAge, GrimAge, and PhenoAge) were used to construct clock-specific PGSs. Logistic regression models were applied to assess associations between PGSs and HNSCC risk, while MR analyses, including inverse-variance weighted (IVW), weighted median, and MR-Egger methods, were used to infer potential causal relationships. Among the 48 epigenetic clock-associated SNPs, 12 showed nominal associations with HNSCC risk, and one variant (rs2275558 in PBX1) remained significant after Bonferroni correction (OR&#x2009;=&#x2009;0.67, 95% CI: 0.60-0.76). PGSs for all four epigenetic clocks were higher in cases than in controls. In logistic regression analyses, each standard deviation increase in HannumAge PGS was associated with a 25% higher risk of HNSCC (OR&#x2009;=&#x2009;1.25, 95% CI: 1.10-1.41), whereas HorvathAge, GrimAge, and PhenoAge PGSs showed weaker positive associations (ORs ranging from 1.06 to 1.10). Individuals in the highest PGS quartile for all four epigenetic clocks exhibiting 14%-25% higher risk than those in the lower three quartiles. MR analyses supported potential causal effects of genetically predicted HannumAge (IVW OR&#x2009;=&#x2009;1.24 per SD increase, 95% CI: 1.09-1.42) and GrimAge (IVW OR&#x2009;=&#x2009;1.23 per SD increase, 95% CI: 0.98-1.56) on HNSCC risk, with consistent estimates in weighted median analyses. Our results highlight biological aging as a potential etiologic mechanism for HNSCC and suggest that epigenetic clock-related genetic profiles may improve HNSCC risk stratification.

Humans