Technology in Cancer Research & Treatment最新文献

IntroductionThe OCRA Tabletop MRI System is a compact, low-field (0.24T) magnetic resonance platform originally developed as an educational device to teach MR physics using chemical test tube-sized samples. Given its capabilities, we explored its diagnostic potential by performing relaxometric analysis on freshly resected human tissue specimens.MethodsMatched pairs of histologically confirmed tumor and non-tumor samples were analyzed with the OCRA MRI system to determine T1 and T2 relaxation times via NMR spectroscopy. In parallel, mRNA expression levels of ZEB1, a key transcription factor involved in WNT signaling, stem cell maintenance and tumor-stroma interactions were quantified for each sample.ResultsThe measured T1 and T2 relaxation times showed distinct profiles between tumor and non-tumor tissues. These biophysical properties were correlated with ZEB1 mRNA expression, revealing preliminary associations between tissue relaxation behavior and molecular signatures relevant to tumor microenvironment dynamics.ConclusionAlthough this pilot study does not yet confirm clinical diagnostic utility, it offers initial biophysical insights into tumor-associated tissue alterations and provides a foundation for future validation studies in larger patient cohorts.

IntroductionHistorically, the management of relapsed or refractory diffuse large B-cell lymphoma (r/r-DLBCL) involved chemotherapy and autologous stem cell transplant, though outcomes were often suboptimal. Chimeric antigen receptor T-cell (CAR-T) therapy has transformed the therapeutic landscape for r/r-DLBCL, achieving high response rates and improving progression-free and overall survival. However, a significant proportion of patients relapse after CAR-T, and optimal treatment strategies for post-CAR-T relapse remain unclear. Radiotherapy (RT), a highly effective treatment for lymphoma, is increasingly recognized for its potential role as both a bridging therapy and a salvage option following CAR-T relapse.MethodsA comprehensive literature review was conducted using databases including PubMed, Scopus, EMBASE, and Cochrane Library, with search terms combining "radiotherapy," "radiation therapy," "lymphoma," and "CAR T-cell." A total of 690 records were screened, and 14 studies were included in the analysis after applying inclusion and exclusion criteria.ResultsRT demonstrates high response rates in CAR-T relapsed DLBCL, with overall response rates (ORR) ranging from 35% to 82.4% and complete response rates (CRR) from 17% to 59%. One-year local control rates ranged between 62% and 84%. Salvage RT showed comparable or superior outcomes to systemic therapies in multiple studies, particularly in patients with localized relapses. The toxicity profile of RT was favorable, particularly when modern techniques such as IMRT were employed. Case reports and retrospective series highlighted its effectiveness in achieving durable responses and controlling localized disease progression.ConclusionsRadiotherapy is a safe and effective treatment option for patients with DLBCL relapsed or refractory after CAR-T therapy. It achieves high local control rates and favorable outcomes, particularly in patients with localized relapse. Incorporating RT into the therapeutic workflow may enhance the management of this challenging population. Further prospective studies are needed to define its role and optimize treatment sequencing.

PurposeTo comprehensively evaluate the efficacy and safety of combining poly (ADP-ribose) polymerase (PARP) inhibitors with chemotherapy in patients with advanced breast cancer.MethodsA systematic literature search was conducted in PubMed, Embase, Cochrane Library, Web of Science, and ClinicalTrials.gov to identify randomized controlled trials (RCTs) evaluating PARP inhibitor-chemotherapy combinations. Studies reporting progression-free survival (PFS), overall survival (OS), overall response rate (ORR), and safety outcomes were included. Data extraction and quality assessment were performed independently by two reviewers, and a meta-analysis was conducted using random-effects models.ResultsOf 970 studies retrieved, four RCTs involving 1064 patients met the inclusion criteria. PARP inhibitors combined with chemotherapy significantly improved PFS (hazard ratio [HR] 0.73, 95% confidence interval [CI] 0.63-0.84, P < .0001) and showed a trend towards improved OS (HR 0.93, 95% CI 0.79-1.09, P = .36), though this was not statistically significant. There was no significant improvement in ORR (RR 1.08, 95% CI 0.98-1.20, P = .13). Regarding safety, no significant difference was observed in all grades or grade 3-4 adverse events (AEs) overall, but the combination therapy was associated with an increased risk of anemia, nausea, and diarrhea (RRs ranging from 1.14 to 1.29, all P < .01).ConclusionPARP inhibitor combined with chemotherapy is an effective option for the treatment of patients with advanced breast cancer, but its potential increased risks of specific AEs need to be weighed. Clinicians should make individualized treatment plans according to the specific conditions of patients, comprehensive consideration of efficacy and safety.

BackgroundLymphovascular invasion (LVI) is a critical factor in breast cancer (BC) prognosis and treatment planning, yet preoperative non-invasive assessment remains challenging. This research proposes the design and validation of a comprehensive artificial intelligence (AI) system that combines intratumoral and peritumoral radiomic analysis, deep learning (DL)-derived features, and clinical risk indicators extracted from dynamic contrast-enhanced MRI (DCE-MRI), with the goal of predicting LVI status in patients with BC.MethodsThis multi-institutional retrospective study included 496 IBC patients (training cohort: n = 344; validation cohort: n = 152). DCE-MRI scans were acquired preoperatively, and intratumoral/peritumoral (0-1, 1-3, 3-5 mm) radiomics features were extracted. A ResNet-50-based DL model was applied to 2.5D tumor slices, and clinical risk factors were identified via logistic regression. The least absolute shrinkage and selection operator (LASSO) method was employed to identify the most relevant features. The ensemble model was created by combining the Intra- Peri Fusion model with the clinically independent risk factors. Model performance was evaluated by sensitivity, specificity, AUC, and decision curve analysis (DCA).ResultsLVI was present in 33.8% and 32.7% of the training and validation cohorts. The SVM (Support Vector Machine) Intra-Peri Fusion model reached AUCs of 0.921 and 0.906, showing enhanced discriminative performance over single-region approaches. The ensemble model, derived from integrating a fusion model with clinical risk factors, demonstrated superior performance with AUCs of 0.951 (training) and 0.929 (validation) and high net benefit in DCA. Calibration curves confirmed excellent agreement between predicted and observed outcomes.ConclusionThe AI-driven ensemble model combining radiomics, DL, and clinical features enables accurate preoperative prediction of LVI in IBC, which holds potential for optimizing surgical planning and adjuvant therapy strategies.

Introduction: Exosomes play significant roles in transferring cargo materials like proteins, RNAs (including miRNAs), and DNA. However, the role of serum exosome shuttled RNAs and miRNAs in head and neck cancer (HNC) remains unclear. This study assessed the diagnostic and prognostic significance of exosomal miR-17, miR-20a, and TGFBR2 in HNC patients. Methods: Exosomes were isolated, from 400 confirmed HNC patients and 400 healthy controls, and characterized by NTA, TEM, Immunolabelling, and ELISA. Quantitative PCR was used to check the expressions of exosomal molecules. Oxidative stress was also measured through ELISA in cancer patients and healthy controls. Results: Data analysis revealed significant dysregulation in the expressional levels of miR-17 (p < .0001), miR-20a (p = .0003), and TGFBR2 (p = .0005), which were found associated with aggressiveness and poor survival of HNC patients. Spearman correlation revealed a positive statistically significant association between miR-20a versus miR-17 (r = 0.534; p < .01), while a negative correlation was found between TGFBR2 versus miR-17 (r = -0.240; p = .015). Significantly decreased levels of peroxidase (POD) (p < .0001) and an increased level of 8-Oxoguanine (p < .0001) were observed. Conclusion: The results showed that these exosomal miRNAs and target gene may serve as potential and noninvasive diagnostic and prognostic markers for head and neck cancer patients.

IntroductionBreast radiotherapy is associated with a higher risk of cardiac diseases. Although deep inspiration breath-hold (DIBH) reduces the heart dose, it is underutilized. The selection of proper candidates for DIBH remains an unresolved issue. This study compared dosimetric parameters between free breathing (FB) and DIBH, monitored myocardial enzymes, and aimed to identify factors that can predict cardiac injury thus developing a method to identify proper patients for DIBH.MethodsThis is a prospective cohort study, enrolling 58 patients with left-sided breast cancer following breast-conserving surgery. All patients underwent computed tomography scans in both FB and DIBH states. A comparative analysis of dosimetric features between DIBH and FB was conducted. Myocardial enzyme was monitored until six months post-radiation therapy. T-tests were used to assess differences between the DIBH and the FB. Pearson correlation and receiver operating characteristic (ROC) analysis was conducted to identify factors associated with the subclinical acute cardiac injury.ResultsThe mean heart dose (MHD) of the DIBH group significantly dropped as compared to the FB group (3.81 Gy vs 1.65 Gy p = 0.001). Cardiac V40, V30, V25, V10, and V5 volumes also significantly reduced. 9(15.51%) patients exhibited increased myocardial enzyme, with cTnI being the most sensitive indicator. The heart dose was a predictor for the cardiac enzyme's elevation. The ROC curve analysis revealed an area under the curve of 0.6. With an MHD threshold of 2 Gy, both sensitivity and specificity exceeded 0.7.ConclusionDIBH significantly diminishes radiation exposure to the heart and LAD compared with FB. Cardiac enzyme analysis facilitates the early detection of cardiac injury following radiation therapy. An MHD threshold of less than 2 Gy is associated with a reduced risk of subclinical cardiac injury, potentially obviating the need for DIBH, which optimizes clinical efficiency and economic viability.

Cancer remains a major global health burden, with incidence rates rising globally. The Arab world, which is often regarded as an underrepresented population in literature, shows distinct patterns in cancer incidences, genetics, and outcomes in comparison with Western populations. This review aims to highlight key genomic studies conducted in the Arab world. We describe the epidemiological and genetic landscape of cancer in the Arab populations, focusing on lung, breast, and colorectal cancers, given their prominence and distinctive patterns in the region. We utilised data from GLOBOCAN 2022 and published genomic studies to assess subregional incidence trends, identify significant mutations, and explore hereditary and early-onset cancers profiles. Breast, lung, and colorectal cancers dominate the cancer profile in the region, with disparities in genetic alterations when compared to global trends. Variation in EGFR mutation frequencies in lung cancer across diverse ethnicities in the MENA region is representative of the extreme heterogeneity in the Arab region. Variations in BRCA1/2 mutation frequency, and unique founder mutations highlight breast cancer's particular regional genetic traits. Similarly, colorectal cancer studies show variations in mutational profiles, such as a low incidence of BRAF mutations and distinct epigenetic characteristics that represent region-specific disease pathways. Early-onset cancers, particularly breast and colorectal cancers, occur at higher rates than in Western populations and often diverge from the typical germline mutation patterns reported globally. The review emphasises the importance of conducting localised genetic studies in improving personalised medicine and public health strategies. Despite these efforts, significant gaps remain, particularly in understanding early-onset cancers and hereditary cancer genetic disorders, which are overrepresented in the region. Further research on the genetic basis of cancer in Arab populations is essential for advancing personalised treatment and improving cancer outcomes in these under-researched groups.