Cancers

Metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) is a long non-coding RNA (lncRNA) implicated in cancer progression. In thyroid cancer, MALAT1 has been proposed as a potential biomarker, but its role in disease progression remains incompletely understood. Here, we analyzed MALAT1 RNA levels in paired tumoral and adjacent non-tumoral thyroid samples from a Chilean patient cohort. We found a positive correlation of MALAT1 levels with lymphatic infiltration that was not replicated when modeling MALAT1 expression in a larger cohort obtained from the TCGA-THCA database. An exploratory RNA-seq comparison of one matched tumor-adjacent tissue pair confirmed higher tumor abundance of MALAT1 and the epithelial-to-mesenchymal transition-marker VIM, together with lower abundance of cell-adhesion gene PCDH10. To investigate the impact of MALAT1 on thyroid cancer and cellular metabolism, we targeted MALAT1 in the papillary thyroid cancer cell line TPC1. MALAT1 knock-down reduced proliferation and migration while enhancing mitochondrial respiration with no changes in glycolysis. Notably, although MALAT1 was not localized within mitochondria, its silencing modulated the expression of transcripts associated with mitochondrial dynamics and mitophagy. Consistent with these results, transcriptomic correlation analysis in the TCGA-THCA cohort showed that MALAT1 expression was largely uncoupled from oxidative phosphorylation and glycolysis gene programs, while negatively correlating with core regulators of mitophagy and mitochondrial dynamics, pointing to a link with mitochondrial quality control rather than direct bioenergetic reprogramming. Our findings highlight MALAT1 as a contributor to thyroid cancer aggressiveness and reveal a link between MALAT1 and mitochondrial quality control independent of direct mitochondrial localization. Besides, our results support a tissue-specific mechanism and population-specific role of MALAT1 in cancer biology.

Objective: The purpose of this study is to determine how family history of cancer, genetic mutations, presenting symptoms, and comorbidity burden collectively influence cancer outcomes in patients with epithelial ovarian cancer. Methods: A retrospective analysis was conducted on all patients with epithelial ovarian cancer treated at the University of Missouri and Ellis Fischel Cancer Center between 2008 and 2024. Patient charts were reviewed for histological subtypes, stage of cancer, status of metastasis, CA-125 values, presenting symptoms, comorbidities, family history of cancer, genetic mutations, and survival outcome. Cox regression and association analyses were performed. Results: In this cohort of patients, comorbidities and genetic mutations did not influence ovarian cancer survival. While histological subtypes, CA-125 levels, and cancer stage remained strongly associated with survival. Significant associations were observed between certain presenting symptoms and cancer histological subtype, a family history of breast cancer, stage of cancer at diagnosis, the status of metastasis, and CA-125 levels. Conclusion: Comorbidities and genetic mutations were not significantly associated with ovarian cancer survival. Presenting symptoms were associated with several clinical and pathological variables linked to ovarian cancer diagnosis.

Background Zinc finger protein 36-like 1 (ZFP36L1) is an AU-rich element-binding RNA-binding protein that regulates post-transcriptional gene expression and has been implicated in tumor progression, cell-cycle regulation, and DNA damage responses. However, its functional role in triple-negative breast cancer (TNBC) remains poorly understood. This study investigated the effects of CRISPR/Cas9-mediated ZFP36L1 knockout on cell proliferation, doxorubicin (DOX) sensitivity, cell-cycle progression, and DNA damage responses in MDA-MB-231 TNBC cells. Methods Wild-type (WT) and CRISPR/Cas9-generated ZFP36L1 knockout (KO) MDA-MB-231 cells were cultured under standard conditions. Cellular proliferation was evaluated by cell counting over three weeks. Cell viability following DOX treatment was determined using the MTT assay, and half-maximal inhibitory concentration (IC50) values were calculated. Cell-cycle distribution was assessed by propidium iodide flow cytometry after 24 h of DOX exposure, while DNA damage was quantified by {gamma}-H2AX flow cytometric analysis. Statistical significance was determined using Student's t-test with P < 0.05 considered significant. Results ZFP36L1 knockout reduced the proliferative capacity of MDA-MB-231 cells compared with WT cells. Both cell lines exhibited dose-dependent decreases in viability following DOX treatment. KO cells demonstrated a higher mean IC50 than WT cells (9.64 vs. 8.40 M), indicating a trend toward reduced DOX sensitivity; however, this difference was not statistically significant (P = 0.569). Flow cytometric analysis revealed enhanced accumulation of KO cells in the S and G2/M phases following DOX treatment, suggesting altered cell-cycle checkpoint regulation. Furthermore, KO cells exhibited elevated basal {gamma}-H2AX expression and greater DOX-induced {gamma}-H2AX accumulation than WT cells, indicating increased DNA damage and impaired maintenance of genomic stability. Conclusions CRISPR/Cas9-mediated loss of ZFP36L1 suppresses proliferation, alters cell-cycle checkpoint dynamics, and enhances DNA damage accumulation in MDA-MB-231 TNBC cells. These findings indicate that ZFP36L1 plays a context-dependent role in regulating genomic stability and cellular responses to genotoxic stress, highlighting its potential as a biomarker and therapeutic target in triple-negative breast cancer.

Background: Patients aged [&le;]50 years with early-stage HR+/HER2- breast cancer are considered to have an aggressive disease biology and are treated with chemotherapy. However, a subset may still experience favourable outcomes without chemotherapy. Commercially available prognostic tests help guide such treatment decisions, but most are developed and validated predominantly in Western populations, with an underrepresentation of Asian patients. In this study, we explore the prognostic value of CanAssist Breast (CAB), a proteomic prognostic test, in optimal treatment management of patients aged [&le;]50 years. Methods: This study includes a previously published retrospective cohort. The performance of CAB was evaluated using Kaplan-Meier analysis, with 5-year Distant recurrence-free interval (DRFI) from diagnosis as the endpoint; the study also used multivariate analysis to evaluate the independent prognostic value of CAB. Results: In the retrospective cohort, CAB identified 70% as low-risk (LR) and 30% as high-risk (HR) with DRFI of 93.1% (P<0.0001); further classification showed 64% LR and 36% HR in the Asian and 75% LR and 25% HR in the Caucasian subgroup. In patients with N0 disease, CAB identified 85% as LR and 15% as HR. In N+ patients, CAB identified 49% as LR. All CAB LR patients have an acceptable DRFI of >90% at 5 years from diagnosis. Conclusions: Based on the results presented, CAB adds prognostic value for patients [&le;]50 years and can be used as a treatment guidance tool for these patients.

Importance There is growing interest to avoid radical cystectomy (RC) in patients with muscle-invasive bladder cancer (MIBC) who receive neoadjuvant chemotherapy and achieve pathological complete response (ypCR). To achieve this goal, molecular biomarkers will likely need to be used to enhance clinical staging given the limitations of evaluation by cystoscopy, cytology, and cross-sectional imaging. There are no studies evaluating whether safe RC avoidance (SaRCA) would be cost effective and what impacts it would have on quality of life (QoL) and survival. Objective This study models the potential economic, QoL, and survival costs/benefits of a ypCR biomarker as it relates to SaRCA using a decision analysis and Markov Model (MM). Methods/Materials A decision tree and MM was created to compare the expected costs of initial treatment, QoL, and survival under one strategy where all patients undergo RC after neoadjuvant treatment versus an alternative strategy where all patients would be subjected to the biomarker test with biomarker-positive patients (those with presumed residual disease) undergoing RC, while biomarker-negative patients (presumed complete responders) would undergo surveillance for up to 20 years. ypCR rates to neoadjuvant therapy, survival with and without RC, quality adjusted life years (QALY), and costs were abstracted from the literature. Test cost, sensitivity, and specificity were also abstracted from the literature for multiple clinical or liquid biopsy approaches. Results Broadly, SaRCA approaches are cost effective with the exception of systematic endoscopic evaluation (SEE). All testing approaches result in higher QALY and overall life expectancy compared to no testing. The cost of the test is offset by decreased usage of RC to realize a cost savings. These domains are further improved when cisplatin-based chemotherapy is replaced with emerging neoadjuvant therapies. Conclusions and relevance Modeling supports the development of accurate biomarker tests which can distinguish residual disease states to enable SaRCA. Such a biomarker could be used to avoid an expensive and risky operation, and unexpectedly would provide a survival benefit by reducing the number of perioperative mortalities in patients achieving ypCR. Development of an accurate biomarker-based test is likely to reduce cost and increase QoL and survival. An accurate biomarker test would have utility for patients, payers, hospitals, and physicians.

Purpose: Whether host germline genetic variation determines tumor drug response remains underexplored. We evaluated whether EPAS1 (HIF-2) adaptive loss-of-function variants, enriched in high-altitude-adapted populations, predispose HCC to primary antiangiogenic TKI resistance through a HIF-2/STC2 signaling axis. Experimental Design: We integrated five independent data sources: the QHRCH-HCC retrospective cohort (n = 1,396), multi-ancestry iPSC-derived endothelial cell transcriptome data (GSE160906), TCGA pan-cancer data (LIHC, KIRC, LUAD, BRCA), GDSC2 pharmacogenomics (n = 951 cell lines; 11 antiangiogenic TKIs), and DepMap dependency data. The AESI_score integrated altitude, AFP-PIVKA-II inversion, platelet-altitude, and hemoglobin-altitude dimensions. Bayesian evidence integration employed the Effective Number of Independent Pieces of Evidence (ENIPE) method ({delta} = 0.504). Results: In QHRCH-HCC, altitude correlated positively with PIVKA-II ({rho} = +0.244, p = 0.0003) and with an altitude-adaptive genetic background score ({rho} = +0.517, p = 5.59x10-49). Under hypoxia, EPAS1 expression in high-altitude-adapted iPSC-ECs was reduced to 61.4% of controls (p = 0.0006), while STC2 remained relatively unaffected (89.2%, p = 0.180). In TCGA-LIHC, EPAS1[-&gt;]STC2 was weak ({rho} = 0.092) compared with HIF1A[-&gt;]STC2 ({rho} = 0.379, p = 2.21x10-14), establishing a negative control. Cross-cancer validation revealed strong EPAS1[-&gt;]STC2 in ccRCC ({rho} = 0.320, p = 3.47x10-14) but not in LUAD or BRCA. In GDSC2, EPAS1 correlated positively with IC50 of all 11 antiangiogenic TKIs (sign test p = 0.0005). Bayesian updating yielded posterior probability 0.970 (Log10BF = 1.99). Conclusions: EPAS1 LoF represents a germline determinant of TKI response, independent of tumor-acquired mutations. The AESI_score and HIF-2 inhibitor belzutifan constitute a predictive biomarker-therapeutic pair for genotype-stratified clinical validation. This hypothesis-generating study establishes a germline determinant framework for TKI resistance; definitive mechanistic validation will require prospective EPAS1 genotype-stratified cohorts (2023-ZJ-786).

Background: Immunochemotherapy (ICT) is considered standard in regards to care for small-cell lung cancer (SCLC) in extensive stages, yet reliable biomarkers for treatment response remain elusive. While previous univariate analyses suggest specific peripheral lymphocyte subsets correlate with survival, the systemic immune response involves complex, multivariate interactions that require advanced analytical approaches. Methods: This paper analysed high-dimensional flow cytometry data from 32 patients with stage IV SCLC treated with carboplatin, etoposide, and atezolizumab. Peripheral blood was analysed at baseline (V0) and longitudinally during treatment. To identify potential early predictive biomarkers and mitigate sample attrition in later cycles, we focused on baseline and measurements after two cycles of ICT (V1). We employed a rigorous machine learning framework utilising nested cross-validation, bootstrapping, and permutation-based statistical testing to evaluate eleven different regression and survival models. Results: Under model-appropriate metrics, regressors did not generalise (R2 <0); conversely, censoring-aware Random Survival Forests (RSF) successfully extracted robust prognostic signatures. Baseline immune profiles (V0) achieved a concordance index (C-index) of 0.66 (p= 0.015), while dynamic changes from V0 to V1 ({triangleup}V) achieved a C-index of 0.65 (p= 0.022). Crucially, absolute values measured after two cycles of ICT (V1) yielded no significant signal (p= 0.445). Feature importance analysis confirmed the prognostic value of Th17 normalisation and identified Naive Regulatory T cells and Memory B cells as candidate components. Conclusion: Machine learning validation confirms a predictive signal in the peripheral immune profile of SCLC patients. Early dynamic shifts in the balance between regulatory and effector immune arms are associated with prognosis, contrasting with the lack of signal in absolute counts after two cycles of ICT. These findings establish a proof of concept for multivariate liquid biopsy immune profiling, warranting confirmation in larger cohorts and highlighting the necessity of integrating systemic and tumour-intrinsic data.

Long-term data describing cancer patterns in Iraq remain generally limited. This retrospective observational study was conducted to evaluate the distribution and longitudinal patterns of malignant solid tumors diagnosed over a period of 12 years (2014-2025) at a major tertiary oncology center in the Kurdistan Region of Iraq. Demographic characteristics, cancer types, and temporal trend changes in cancer distribution were analyzed. Comparisons were made between the first (2014-2019) and second (2020-2025) halves of the study period. Descriptive statistics, Chi-square tests, and linear regression analyses were used to evaluate the temporal trends. After excluding records with incomplete data, 11,704 patients were included. Breast cancer was the most frequently diagnosed malignancy, accounting for over one-quarter of all cases, followed by lung, colorectal, prostate, and bladder cancers, in descending order. Women represented the majority of patients, and the mean age at diagnosis increased significantly over time. In general, the relative distribution of colorectal, genitourinary, pancreatic, uterine, and thyroid cancers increased during the study period, whereas breast and lung cancers showed a modest but significant proportional decline despite remaining the most common malignancies. A marked reduction in case numbers was observed in 2020, followed by progressive recovery in subsequent years. To conclude, cancer patterns in the Kurdistan Region of Iraq changed substantially during the 12-year study period, with increasing proportions of colorectal and several other malignancies alongside an older age at diagnosis. These findings likely reflect a combination of demographic changes, evolving lifestyle-related risk factors, and improvements in cancer detection and referral. The results provide contemporary evidence to support regional cancer control strategies, screening programs, resource allocation, and future epidemiological research.

Purpose/Objective There is paucity of data reporting outcomes of breast cancers with initial internal mammary nodal involvement and no visceral metastases, treated with curative hypofractionated radiotherapy . We report the outcomes from a tertiary centre alongside spatial patterns of recurrences in the above group Material/Methods For this retrospective cross-sectional study, consecutive patients contoured as per the ESTRO 2013 guidelines, treated between 2016-2022 were eligible if their diagnostic imaging demonstrated involvement of the internal mammary nodes. Radiotherapy (40 Gy/15#/3 weeks) was delivered to the residual breast / thoracic wall, SCF region corresponding to the ESTRO lymph node level 4 and internal mammary chain nodes. Residual IMN/ level 4 nodes received a boost of 10Gy/5#. Spatial mapping of sites of recurrence at the local site and three nodal sites (axilla, SCF and IMN) was performed using deformable image registration. Sites of recurrence at the local site and three nodal levels were contoured separately. Volumetric intersection of the recurrent gross tumour volume (GTV_recurrence) with treated clinical target volume (CTV) was calculated. Actuarial overall (OS), disease free survival (DFS) & cumulative incidence of local (LR), regional (RR) and loco-regional recurrence(LRR) were calculated using Kaplan Meier method. Univariate comparison of outcomes with or without residual disease was performed using the log rank test. Results The median age of the 61 eligible women was 49 years. 77% received neoadjuvant chemotherapy and the rest adjuvant chemotherapy. 82% patients had a mastectomy. Axillary lymph node dissection was done in 96.7%. Boosts to residual IMN and SCF nodes were delivered to 21(34.4%) and 2 (3.3%) respectively. Median follow up was 3.6 years. Out of the 61 patients, 42 patients were disease free with an estimated 3 year disease free survival of 75% (95% CI 64, 88%). Spatial mapping of locoregional recurrence was possible in all but 1 patient with local (only) recurrence who was lost to follow-up after mammogram only. Among the patients with loco regional recurrence 1 had recurrence in local site + SCF +axilla, 3 had recurrence in the SCF+axilla, 2 in the SCF+IMN and 1 in the axilla+SCF+IMN. Only one patient had isolated axillary recurrence or isolated SCF recurrence. There were no IMN only recurrences. Among the 8 patients with nodal recurrence, a total of 27 individual GTV_recurrence were identified in the axilla(n=11), SCF(n=11) and IMN (n=5). IMN recurrences showed complete or partial overlap with CTV. SCF recurrences were a mix with predominantly in-field recurrences while axillary recurrences occurred outside the treated volume.Four (6.6%) patients had Grade 2 lymphoedema as documented late side effect. Conclusion Aggressive treatment of IMN disease with adjuvant radiation is effective with good locoregional control. Systemic recurrences are common and may benefit from intensification strategies.

Background: Oral mucositis is a clinically significant, potentially severe side effect of systemic chemotherapy in children with cancer. Understanding genetic predisposition to this side effect may assist in development of stratified prophylactic and treatment strategies. However, existing literature primarily focuses on children with haematological malignancies. Methods: We performed a candidate gene study of 101 children with solid tumours enrolled in the MARVEL-PIC study at the Royal Children's Hospital, Melbourne. Clinical data were extracted from the electronic medical record, with NCI-CTCAE v6.0 grade >2 oral mucositis defined as the primary outcome. Genetic variants previously associated with oral mucositis were analysed under an additive genetic model to identify significant associations. Exploratory gene-drug interactions were identified based on chemotherapy exposure. Results: 29 patients (28.7%) developed grade >2 oral mucositis. MTHFR A1298C (rs1801131) was associated with lower odds of grade >2 oral mucositis, lower peak mucositis grade, and lower odds of opioid use for oral mucositis. 25 exploratory gene-drug interaction signals were identified, including miR-1206 rs2114358 with methotrexate exposure and ABCB1 rs1045642 with anthracycline exposure. Conclusions: MTHFR A1298C (rs1801131) demonstrated a protective effect against chemotherapy-induced oral mucositis in our cohort of children with solid tumours. Larger, ancestry-informed studies are required to validate our findings.

Background: Bladder cancer has entered an era in which immune checkpoint blockade (ICB) and antibody-drug conjugate (ADC)-based combinations are reshaping clinical management. However, transcriptomic scores that connect prognosis, tumor microenvironment state, and treatment response are incompletely defined. Methods: Open-access TCGA-BLCA RNA-seq, clinical, mutation, copy-number, and RPPA data were downloaded from the Genomic Data Commons (GDC). Tumor-normal differential expressions, survival screening, LASSO-Cox modeling, train-test validation, GEO validation, pathway enrichment, immune signature scoring, mutation/CNV/RPPA support, drug sensitivity prediction, single-cell/spatial localization, and ICB validation were performed using reproducible Python and R scripts. A reduced model was derived using only genes shared by TCGA, GSE13507, and GSE31684. The fixed formula was then applied without refitting to IMvigor210 and GSE176307. Results: A five-gene model composed of EMP1, AHNAK, TNFRSF14, CLEC2D, and GSDMB retained TCGA internal prognostic value (train C-index 0.693, test C-index 0.605, all-sample C-index 0.667; TCGA test log-rank p = 0.015), although GEO survival validation in GSE13507 and GSE31684 was modest. High-risk tumors were enriched for epithelial-mesenchymal transition (EMT), TNF-alpha/NF-kB signaling, inflammatory response, hypoxia, complement, CAF, macrophage, checkpoint, and cytotoxic programs. Single-cell and spatial analyses localized the score to basal tumor, endothelial, fibroblast, and perivascular compartments. In IMvigor210, risk scores were higher in ICB non-responders than responders (Wilcoxon p = 0.044; AUC for non-response = 0.580), high-risk tumors had a lower responder rate (17.6% vs. 28.0%), and high risk predicted poorer OS (log-rank p = 0.016; multivariate continuous risk HR = 3.15, p = 0.044). GSE176307 showed directionally consistent but non-significant response results (AUC = 0.576). Conclusions: The five-gene score is best interpreted not as a standalone universal prognostic classifier, but as a compact stromal-EMT and immune-suppression phenotype associated with inferior ICB response. These findings support a framework linking prognosis, microenvironment biology, immunotherapy resistance, and therapeutic hypotheses in bladder cancer.

Triple-Negative Breast Cancer (TNBC) presents a significant clinical challenge due to its heterogeneity and lack of targeted treatment options, with chemotherapy and immunotherapy combinations currently serving as the main therapeutic strategy. Efforts to address TNBC heterogeneity have largely focused on classifying intrinsic cancer subtypes based on differential tumor mRNA expression, a strategy that has proven effective in hormone receptor-positive breast cancers but has yet to yield a clinically useful predictor of survival or treatment response in TNBC. We hypothesize that both the intrinsic characteristics of TNBC and the surrounding immune microenvironment influence treatment outcomes and that immune cell infiltration affects TNBC subtype classification and response variability. To explore this hypothesis, we compared the predictive and prognostic capabilities of cancer subtype-based (TNBC-type) gene signatures and immune cell deconvolution methods (CIBERSORT) within the same TNBC datasets. We found that immune cell abundance outperformed TNBC subtype-signatures and multicellular immune cell aggregates showed the highest performance of all. More specifically, aggregate immune cells associated with tertiary lymphoid structures and tumor associated macrophages/monocytes demonstrated statistically significant predictive value. These findings were confirmed in an independent cohort of 67 TNBC patients treated with neoadjuvant chemotherapy. Further, single-cell RNA sequencing analysis revealed that the predictive power of cancer-subtype could be partially explained by immune- and stromal features. Examination of single-cell resolution spatial transcriptomic data confirmed presence of TLS-like, TAM- and cancer-stromal niches within TNBC biopsy samples that were associated with treatment response. Overall, our results highlight that immune cell aggregates, which capture the spatial organization of the TME, outperform cell-type specific gene signatures in predicting TNBC outcomes. Our novel approach provides a robust framework for interpreting spatial relationships in bulk RNA-seq data, offering a pathway for reconciling past data with current advancements in spatial profiling technologies. This work paves the way for future studies to leverage the multi-cellular complexity of TNBC, enhancing diagnostic precision and facilitating the development of therapies that strategically modulate the tumor microenvironment for improved anti-cancer responses.

Many factors including ionizing radiation and iodine deficiency are known to increase thyroid carcinogenesis risk. Our dataset analysis of The Cancer Genome Atlas (TCGA) showed that lower mRNA expression of NK2 homeobox 1 (NKX2-1) transcription factor, a master regulator of genesis, homeostasis, and function of thyroid, is linked to poor prognosis of papillary thyroid cancer patients. Here we provide the findings that thyroid-specific Nkx2-1 conditional knockout (Nkx2-1{Delta}T) mice develop thyroid adenoma and carcinoma in higher frequency with combined exposure to radiation and iodine deficiency than control Nkx2-1fl/fl mice. Iodine deficiency caused oxidative stress, which subsequently resulted in DNA damage, leading to transformation of thyroid follicular cells. RNA-seq gene set enrichment analysis indicated higher production of reactive oxygen species (ROS) in the thyroids of Nkx2-1{Delta}T as compared to Nkx2-1fl/fl mice with combined exposure to radiation and iodine deficiency. This was accompanied by a feedback induction of SOD3 (superoxide dismutase 3) and GPX2 (glutathione peroxidase 2). These antioxidants were naturally expressed at higher levels in the thyroids of Nkx2-1{Delta}T than Nkx2-1fl/fl mice without iodine deficiency or radiation. Nkx2-1{Delta}T thyroids exhibited abnormal follicle architecture and up-regulation of Acox2 (encoding acyl-CoA oxidase 2), which produces hydrogen peroxide. These results suggest that loss of NKX2-1 may contribute to excess ROS production, which elevates basal oxidative stress resulting in the promotion of ROS-induced carcinogenesis. We propose a role for NKX2-1 as a regulator of ROS production homeostasis in the thyroid. Its disturbance would dispose thyroid follicular cells more vulnerable to the ROS-producing carcinogens.

Biomarkers perturbed by exercise-mediated molecular mechanisms, in women with early-stage (stage I-III, non-metastatic) breast cancer are poorly defined, and especially in under-represented Asian cohorts. In this exploratory Breast Cancer Exercise Intervention (BREXINT) pilot study, 15 Asian women were randomized to a combined aerobic and resistance exercise intervention program (n=8) and a control group (n=7). Fasting blood sampling was performed at baseline, 8,16, and 24-week timepoints. Blood parameters were imputed, transformed and screened for intervention-specific variations using IQR-trimmed, paired Wilcoxon tests. Twenty-one blood parameters were found to meet a differential change rule (significance observed in 1 group but not the other). Exercise-associated signatures displayed hematological and cytokine remodeling at 16-weeks. Control-associated signatures include adipokine and renal markers at 16 and 24-weeks. Of note, exercise-driven decrease of IL-10 at 16-weeks (p=0.022) retained significance following linear mixed effects confirmation among screened candidates. IL-10-centred modulation is the most convergent exercise-associated blood derived signature but warrants further validation in larger exercise oncology trials.

BackgroundEwing sarcoma (ES) is a rare malignant bone tumor with predilection for the mandible and maxilla in the head and neck region. However, existing literature comprises fragmented case reports and small case series that fail to establish consolidated, evidence-based understanding of characteristic radiological patterns in the maxillofacial region, hindering timely diagnosis and potentially leading to misdiagnosis or delayed intervention. MethodologyA systematic review and pooled patient-level descriptive analysis were conducted according to the PRISMA guidelines and pre-registered on PROSPERO. Comprehensive searches of PubMed, OVID, and Cochrane databases (inception to July 2025) identified studies reporting radiological findings of biopsy-confirmed maxillofacial Ewing sarcoma. Quality assessment using Joanna-Briggs Institute criteria ensured inclusion of only high-quality cases (quality score [&ge;]4/5). Synthesis Without Meta-analysis (SWiM) methodology with pooled prevalence estimation and binomial vote-counting analysis were employed for 68 published cases. ResultsFour radiological features demonstrated consistent predominance across pooled cases: soft tissue mass presence (100%, 95% CI: 94.7-100.0%), enhancing soft tissue (77.6%, 95% CI: 65.8-86.9%), cortical destruction (69.0%, 95% CI: 55.5-80.5%), and notably, absence of periosteal reaction (84.7%, 95% CI: 73.0-92.8%). Location-specific radiological phenotypes were evident: maxillary tumors demonstrated near-universal sinus involvement (100%) with high soft tissue enhancement (92.3%), whereas mandibular tumors showed predominant cortical destruction (80.0%) and teeth involvement (81.2%). ConclusionMRI and CT are essential for characterizing the distinctive radiological profile of maxillofacial Ewing sarcoma, enabling early identification and improving patient outcomes in this rare malignancy. HighlightsO_LIFirst pooled review to summarize imaging features of maxillofacial Ewing sarcoma C_LIO_LIAnalysis of 68 published cases reveals consistent imaging patterns. C_LIO_LIMost tumors show soft tissue mass and bone damage without surface reaction. C_LIO_LIJaw tumors differ from long bone tumors in their imaging appearance. C_LIO_LIUpper and lower jaw tumors show distinct location-specific features. C_LI

Background Tumor hypoxia and abnormal vasculature are closely associated with aggressiveness in solid tumors. Therefore, noninvasive assessment of these features in primary breast cancer is needed. Photoacoustic (PA) imaging is an emerging modality that enables real-time visualization of vascular architecture and hemoglobin oxygenation. Methods Breast PA imaging was performed in patients with primary breast cancer using a bed-type PA imaging system equipped with a hemispherical sensor and a flat specimen holder enabling mild breast compression. Three independent evaluators assessed predefined characteristics of tumor-associated vasculature: centripetal/disrupted vessels and intratumoral vessel-like signals. Oxygenation (S-factor) of tumor-associated vessels was estimated using dual-wavelength laser irradiation at 756 and 797 nm. Results PA imaging was performed in 9 tumors from 8 patients. Eight tumors were evaluable, after the exclusion of 1 tumor with segmental bloody discharge. Centripetal/disrupted vessels were identified in 7 tumors (87.5%). Intratumoral vessel-like signals were observed in all tumors (100%), with higher signal density than in surrounding tissue in 5 lesions (62.5%). Increased intratumoral signal density was associated with a higher Ki67-labeling index (two-sided P = .01). Mean intratumoral S-factor level (76.9% {+/-} 9.1%) was significantly lower than that of peritumoral vessels at 5 mm (86.4% {+/-} 5.9%) and 20 mm (88.5% {+/-} 4.9%) from the tumor margin (two-sided P < .01). Conclusion PA imaging with a flat specimen holder enables noninvasive visualization of tumor-associated vasculature with reduced oxygenation in primary breast cancer. This approach may provide a novel imaging platform for the early detection and functional assessment of breast cancer.

Tumour hypoxia is associated with increased invasiveness, metastasis, and drug resistance; however, its impact on drug-metabolising enzymes remains poorly understood. This study investigated the effect of hypoxia on the expression of selected aldehyde dehydrogenase (ALDH) isoforms (ALDH1A1, 1A2, 1A3, 1B1, 2, 3A1, and 7A1) in colorectal cancer (CRC) cells. CRC cell lines (HT29, DLD-1, SW480, and HCT116) were cultured under normoxic and hypoxic (0.1% O2) conditions, while HT29 and DLD-1 cells were additionally grown as multicellular spheroids (MCS). Expression of ALDH isoforms was assessed at the mRNA and protein levels. Functional studies included siRNA-mediated knockdown of ALDH1A1, ALDH3A1, and ALDH7A1, measurement of reactive oxygen species (ROS), and stable overexpression of ALDH7A1 in H1299 cells. ALDH7A1 was consistently upregulated at both transcript and protein levels in HT29 and DLD-1 cells exposed to hypoxia. Elevated ALDH7A1 expression was also observed in hypoxic regions of MCS and CRC xenografts (HT29, DLD-1, HCT116, SW620, and COLO205). Knockdown of ALDH7A1 in DLD-1 cells reduced proliferation, increased ALDH3A1 expression, and significantly elevated ROS levels, indicating a role in redox homeostasis and suggesting functional crosstalk between these isoforms. Conversely, stable overexpression of ALDH7A1 in H1299 cells markedly reduced ROS levels. Taken together, these findings identify ALDH7A1 as a hypoxia-responsive enzyme that promotes adaptation to oxidative stress and may contribute to CRC cell survival within the hypoxic tumour microenvironment.

Despite advances in screening and treatment, breast cancer remains a leading cause of cancer-related mortality. APOBEC enzymes, particularly APOBEC3B (A3B), are upregulated in many cancers, contributing to a characteristic C-to-T mutational signature found in 30-50% of breast cancers. However, the relationship between A3B mutational signatures and A3B expression across subtypes, and the resulting potential biologic consequences, have not been fully defined. Using TCGA and ICGC datasets, we analyzed DNA and RNA expression data to assess the relationship between A3B mRNA expression and APOBEC enrichment scores. Pathway enrichment analyses (KEGG, GO, Reactome) were performed to identify biological processes associated with high A3B expression, specifically stratifying by breast cancer intrinsic subtypes (HR+/HER2-, HR+/HER2+, HR-/HER2+, and TNBC). Over 64% of tumors with enriched A3B mutational genomic signatures demonstrated above-median A3B mRNA expression (p < 0.001). High A3B-expressing tumors exhibited specific alterations in drug metabolism pathways. Notably, we observed reduced expression of CYP2D6 and CYP3A isoforms which is required for the conversion of tamoxifen to its active metabolites. Conversely, genes involved in pyrimidine metabolism, including IMPDH1, NME1, TK1, and DPYS, were downregulated in high A3B tumors. Elevated A3B expression correlates with mutational signatures and may contribute to impaired tamoxifen activation and endocrine resistance, while concurrently creating metabolic vulnerabilities to pyrimidine-based chemotherapies. Targeting A3B or exploiting these metabolic dependencies may improve therapeutic response in selected patient subsets.

Gene expression-based prognostic models have shown promise for predicting recurrence in colorectal cancer (CRC), but their clinical implementation remains limited. The NanoString nCounter platform provides a practical alternative to RNA sequencing and microarrays through standardized, cost-effective gene expression profiling that is compatible with routine clinical samples. In this study, we evaluated whether NanoString nCounter gene expression data improve prediction of recurrence following curative CRC surgery. Gene expression profiles from the NanoString PanCancer IO 360 panel were analyzed in two independent CRC cohorts (cohort A, n = 189; cohort B, n = 131). Differential gene expression analyses and Cox proportional hazards models were used to assess the prognostic value of gene expression alone and in combination with established clinical risk factors. Model performance was evaluated by five-fold cross-validation and external validation between cohorts using the concordance index (C-index) and Kaplan-Meier risk stratification. The two cohorts differed significantly in recurrence-free survival, and differential expression analysis demonstrated marked cohort-specific transcriptional patterns. Ninety-one recurrence-associated genes were identified in cohort A, whereas no significant genes were detected in cohort B, with poor agreement in gene-level differential expression between cohorts (Pearson r = 0.128). Across all prediction models, external performance was modest, and inclusion of gene expression data did not improve prediction beyond clinical variables. The clinical baseline model, incorporating age, UICC stage, and tumor site, consistently achieved the highest cross-cohort performance, with UICC stage emerging as the strongest predictor of recurrence. Although overall discrimination was moderate, the baseline model successfully stratified patients into significantly different high- and low-risk groups across cohorts. These findings indicate that prognostic gene expression signatures derived from NanoString data showed limited reproducibility across independent cohorts and provided little additional predictive value beyond established clinical factors. The results highlight the importance of external validation and suggest that robust clinical variables remain the most reliable predictors of recurrence risk in this setting.

Introduction: Tumor mutational burden (TMB) is a biomarker for immune checkpoint inhibitor therapy, traditionally measured in tissue (tTMB). Blood-based TMB (bTMB), derived from circulating tumor DNA, is minimally invasive but shows modest concordance with tTMB. The significance of blood-tissue TMB discordance remains unclear. Methods: We retrospectively analyzed 105 patients with advanced NSCLC who underwent pretreatment blood and tissue next-generation sequencing between October 2020 and September 2024. The blood-to-tissue TMB ratio was defined as ln[(1 + bTMB)/(1 + tTMB)]. Outcomes were overall survival (OS) and progression-free survival (PFS). Survival was assessed using Kaplan-Meier methods and multivariable Cox models. Results: Median follow-up was 10 months. Patients in the lowest ratio tertile had longer OS than those in the upper two tertiles (median, 33 vs 11 months; hazard ratio [HR], 0.55; 95% confidence interval [CI], 0.32-0.97; p = 0.04), whereas PFS did not differ (HR, 0.89; p = 0.62). A higher ratio, analyzed continuously, was independently associated with shorter OS (HR per 1-unit increase, 1.60; 95% CI, 1.10-2.31; p = 0.01), but not PFS. The association persisted after adjustment for metastatic organ count and radiographic tumor burden. The high-bTMB/low-tTMB subgroup had the poorest OS (HR, 3.17 vs low-bTMB/high-tTMB; p = 0.01). Conclusions: A higher blood-to-tissue TMB ratio was independently associated with worse OS in advanced NSCLC. Directional discordance between bTMB and tTMB may reflect tumor heterogeneity and provide prognostic information beyond either measure alone.