Proteogenomic insights into early-onset endometrioid endometrial carcinoma: predictors for fertility-sparing therapy response.

Endometrial carcinoma remains a public health concern with a growing incidence, particularly in younger women. Preserving fertility is a crucial consideration in the management of early-onset endometrioid endometrial carcinoma (EEEC), particularly in patients under 40 who maintain both reproductive desire and capacity. To illuminate the molecular characteristics of EEEC, we undertook a large-scale multi-omics study of 215 patients with endometrial carcinoma, including 81 with EEEC. We reveal an unexpected association between exposome-related mutational signature and EEEC, characterized by specific CTNNB1 and SIGLEC10 hotspot mutations and disruption of downstream pathways. Interestingly, SIGLEC10Q144K mutation in EEECs resulted in aberrant SIGLEC-10 protein expression and promoted progestin resistance by interacting with estrogen receptor alpha. We also identified potential protein biomarkers for progestin response in fertility-sparing treatment for EEEC. Collectively, our study establishes a proteogenomic resource of EEECs, uncovering the interactions between exposome and genomic susceptibilities that contribute to the development of primary prevention and early detection strategies for EEECs.

Comprehensive multi-omics analysis reveals WEE1 as a synergistic lethal target with hyperthermia through CDK1 super-activation.

Hyperthermic intraperitoneal chemotherapy's role in ovarian cancer remains controversial, hindered by limited understanding of hyperthermia-induced tumor cellular changes. This limits developing potent combinatory strategies anchored in hyperthermic intraperitoneal therapy (HIPET). Here, we perform a comprehensive multi-omics study on ovarian cancer cells under hyperthermia, unveiling a distinct molecular panorama, primarily characterized by rapid protein phosphorylation changes. Based on the phospho-signature, we pinpoint CDK1 kinase is hyperactivated during hyperthermia, influencing the global signaling landscape. We observe dynamic, reversible CDK1 activity, causing replication arrest and early mitotic entry post-hyperthermia. Subsequent drug screening shows WEE1 inhibition synergistically destroys cancer cells with hyperthermia. An in-house developed miniaturized device confirms hyperthermia and WEE1 inhibitor combination significantly reduces tumors in vivo. These findings offer additional insights into HIPET, detailing molecular mechanisms of hyperthermia and identifying precise drug combinations for targeted treatment. This research propels the concept of precise hyperthermic intraperitoneal therapy, highlighting its potential against ovarian cancer.

Multiomic analysis of cervical squamous cell carcinoma identifies cellular ecosystems with biological and clinical relevance.

Cervical squamous cell carcinoma (CSCC) exhibits a limited response to immune-checkpoint blockade. Here we conducted a multiomic analysis encompassing single-cell RNA sequencing, spatial transcriptomics and spatial proteomics, combined with genetic and pharmacological perturbations to systematically develop a high-resolution and spatially resolved map of intratumoral expression heterogeneity in CSCC. Three tumor states (epithelial-cytokeratin, epithelial-immune (Epi-Imm) and epithelial senescence), recapitulating different stages of squamous differentiation, showed distinct tumor immune microenvironments. Bidirectional interactions between epithelial-cytokeratin malignant cells and immunosuppressive cancer-associated fibroblasts form an immune exclusionary microenvironment through transforming growth factor ß pathway signaling mediated by FABP5. In Epi-Imm tumors, malignant cells interact with natural killer and T cells through interferon signaling. Preliminary analysis of samples from a cervical cancer clinical trial ( NCT04516616 ) demonstrated neoadjuvant chemotherapy induces a state transition to Epi-Imm, which correlates with pathological complete remission following treatment with immune-checkpoint blockade. These findings deepen the understanding of cellular state diversity in CSCC.

MRE11:p.K464R mutation mediates olaparib resistance by enhancing DNA damage repair in HGSOC.

BACKGROUND: Although the clinical application of PARP inhibitors has brought hope to ovarian cancer, the problem of its resistance has become increasingly prominent. Therefore, clinical experts have been focused on finding specific indicators and therapeutic targets that can be used for resistance monitoring of PARP inhibitors. RESULTS: By cfDNA detecting during Olaparib maintenance therapy in platinum-sensitive relapsed ovarian cancer, we found the presence of MRE11:p.K464R mutation was strongly associated with acquired Olaparib resistance. Structural analysis revealed that the MRE11:p.K464R mutation is situated at a critical site where the MRE11 protein interacts with other biomolecules, leading to potential structural and functional abnormalities of MRE11 protein. Functionally, MRE11:p.K464R mutation enhanced the tolerance of Olaparib by reducing the DNA damage. Mechanistically, MRE11:p.K464R mutation improved the efficiency of DNA damage repair and induce Olaparib resistance by enhancing its binding activity with the interacting proteins (including RAD50 and RPS3). Among them, the enhanced binding of MRE11:p.K464R mutation to RAD50/RPS3 facilitated non-homologous end joining (NHEJ) repair in tumor cells, thereby expanding the scope of research into acquired resistance to PARP inhibitors. CONCLUSIONS: Our findings provide a theoretical basis for MRE11:p.K464R mutation as a specific indicator of resistance monitoring in Olaparib treatment, and the exploration of its resistance mechanism provides a novel insights for the formulation of combination ther therapies after Olaparib resistance.

STAT4, a potential predictor of prognosis, promotes CD8 T­cell infiltration in ovarian serous carcinoma by inducing CCL5 secretion.

Ovarian serous carcinoma (OC) is a common cause of mortality among gynecological malignancies. Although tumor­infiltrating CD8 T cells are associated with a favorable prognosis of OC, the underlying mechanisms are not clearly understood. The present study identified the key genes and potential molecular mechanisms associated with CD8 T­cell infiltration in OC. The score of CD8 T cells in The Cancer Genome Atlas dataset (376 samples from patients with OC) was estimated using the quanTIseq and MCP­counter algorithms. Thereafter, a protein­protein interaction network of differentially expressed genes was constructed and the hub genes were identified using cytoHubba in Cytoscape. The results revealed that signal transducer and activator of transcription 4 (STAT4) was strongly correlated with CD8 T­cell infiltration in OC. Furthermore, the prognostic value of STAT4 in OC was verified by Kaplan­Meier curve, and univariate and multivariate analyses. The biological functions of STAT4 were determined by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses, which revealed that STAT4 is closely related to cytokines in OC. Moreover, Spearman correlation analysis suggested that STAT4 was most positively correlated with CC chemokine ligand 5 (CCL5). CCL5 was revealed to be critical for orchestrating T­cell infiltration in tumors. Moreover, immunohistochemistry and reverse transcription­quantitative PCR showed that STAT4, CCL5 and CD8A (a marker for CD8 T cells) were closely related in OC. Moreover, in vitro analysis revealed that STAT4 knockdown led to a decrease in CCL5 expression and CD8 T­cell migration. Taken together, the present study suggested that STAT4 may regulate CD8 T­cell infiltration in OC tissues by inducing CCL5 secretion. Furthermore, STAT4 may be considered a promising prognostic biomarker for OC.

Mutation profiles in circulating cell-free DNA predict acquired resistance to olaparib in high-grade serous ovarian carcinoma.

Although resistance to poly(ADP-ribose) polymerase inhibitors (PARPi) has gradually become a major challenge in the maintenance therapy for high-grade serous ovarian carcinoma (HGSOC), there are no universal indicators for resistance monitoring in patients. A key resistance mechanism to PARPi is the restoration of homologous recombination repair (HRR), including BRCA reversion mutations and changes in DNA damage repair proteins. To explore mutation profiles associated with PARPi resistance, we undertook targeted 42-gene deep sequencing of circulating cell-free DNA (cfDNA) extracted from HGSOC patients pre- and post-treatment with olaparib maintenance therapy. We found that pathogenic germline mutations in the HRR pathway, including BRCA1/2, were strongly associated with improved clinical outcomes, and newly acquired MRE11A mutations significantly shortened the progression-free survival (PFS) of patients. Furthermore, dynamic fluctuations of somatic mutation sites in CHEK2:p.K373E and CHEK2:p.R406H can be used for evaluating the therapeutic efficacy of patients. MRE11A:p.K464R might be a vital driving factor of olaparib resistance, as patients with newly acquired MRE11A:p.K464R in post-treatment cfDNA had significantly shorter PFS than those without it. These findings provide potential noninvasive biomarkers for efficacy evaluation and resistance monitoring of olaparib treatment, and lay the foundation for developing combination treatment after olaparib resistance.

[Noninvasive imaging of vulnerable plaques and thromboses with PET/CT complex imaging technique].

OBJECTIVE: To investigate the feasibility of identifying the vulnerable plaque and predicting plague rupture and thrombus using by positron emission tomography/computed tomography angiography (PET/CTA). METHODS: Twenty-eight male New Zealand white rabbits were fed with hyper-lipid diet for 2 weeks before the balloon injury of the abdominal aorta.Then these rabbit were intermittently fed with hyper-lipid diet for 14 weeks, in order to trigger pharmaceutic the plague rupture and thrombus. PET/CTA scans of abdominal aorta were performed before and after the drug triggering, FDG uptake (standardized uptake value, SUV) was measured. Rabbits were euthanized to obtain data of pathology and histology. The parameters obtained by PET/CTA, pathology and histology were compared and the correlations were performed. RESULTS: The thrombosis was identified in 13 of 20 rabbits.Before the drug triggering, (18)F-FDG mean standardized uptake value (SUVmean) was higher in thrombotic arterial segments (defined as vulnerable plaque) (1.10 ± 0.19 vs 0.77 ± 0.11,P = 0.000); after the drug triggering, SUVmean was higher in thrombotic arterial segments, too (1.15 ± 0.26 vs 0.85 ± 0.17, P = 0.000). We use the ROC curve for SUVmean to predict plaque rupture and thrombosis. The area under the curve (AUC) was 0.898 (P = 0.000). The cutoff value was 0.882. CONCLUSIONS: Our findings indicated that (18)F-FDG PET/CTA, as a noninvasive imaging method, could be used to identify vulnerable plaques and predict thrombosis events.

Magnetic resonance imaging features of vulnerable plaques in an atherosclerotic rabbit model.

BACKGROUND: Noninvasive detection of vulnerable plaque has a significant implication for prevention and treatment of atherosclerotic diseases. The aim of this study is to investigate the difference between vulnerable plaques and stable plaques in magnetic resonance (MR) images. METHODS: Atherosclerosis was induced in twenty male New Zealand white rabbits by high cholesterol diet and balloon injury of the abdominal aorta. After baseline (pre-triggering) MR imaging (MRI) scan, the rabbits underwent pharmaceutical triggering with Russell's viper venom and histamine to induce atherothrombosis, followed by another MRI scan 48 hours later (post-triggering). Rabbits were euthanized to obtain pathological and histological data. The results of MRI were compared with those of pathology and histology. RESULTS: MRI showed that abdominal aorta of the rabbits had pathological change of atherosclerosis in different degrees. Seventy-five plaques were analysed, among which 14 had vulnerable thrombi and 61 stable. Thrombosis was identified in 7 of 11 rabbits by post-triggering MRI, the sensitivity and K value of MR in detection of vulnerable plaque was 71% and 0.803 (P < 0.05). MRI data significantly correlated with the histopathological data in fibrous cap thickness (r = 0.749) plaque area (r = 0.853), lipid core area (r = 0.900). Compared with stable plaques, vulnerable plaques had a significantly thinner fibrous cap ((0.58 ± 0.27) mm vs. (0.95 ± 0.22) mm), larger lipid core area ((7.56 ± 2.78) mm(2) vs. (3.29 ± 1.75) mm(2)), and a higher ratio of lipid core area/plaque area ((55 ± 16)% vs. (27 ± 17)%), but plaque area was comparable in two groups on MRI. The ratio of lipid core area/plaque area was a strong predictor of vulnerable plaques. CONCLUSION: MRI could distinguish vulnerable plaques from stable plaques in a rabbit model of atherothrombosis and may thus be useful as a noninvasive modality for detection of vulnerable plaques in humans.

Detection of vulnerable atherosclerotic plaque and prediction of thrombosis events in a rabbit model using 18F-FDG -PET/CT.

BACKGROUND: Detection of vulnerable plaques could be clinically significant in the prevention of cardiovascular events. We aimed to compare Fluorine-18 fluorodeoxyglucose ((18)F-FDG) uptake in vulnerable and stable plaques, and investigate the feasibility of predicting thrombosis events using Positron Emission Tomography/Computed Tomography (PET/CT) angiography. METHODS: Atherosclerosis was induced in 23 male New Zealand white rabbits. The rabbits underwent pharmacological triggering to induce thrombosis. A pre-triggered PET/CTA scan and a post-triggered PET/CTA scan were respectively performed. (18)F-FDG uptake by the aorta was expressed as maximal standardized uptake value (SUVmax) and mean SUV (SUVmean). SUVs were measured on serial 7.5 mm arterial segments. RESULTS: Thrombosis was identified in 15 of 23 rabbits. The pre-triggered SUVmean and SUVmax were 0.768 ± 0.111 and 0.804 ± 0.120, respectively, in the arterial segments with stable plaque, and 1.097 ± 0.189 and 1.229 ± 0.290, respectively, in the arterial segments with vulnerable plaque (P<0.001, respectively). The post-triggered SUVmean and SUVmax were 0.849 ± 0.167 and 0.906 ± 0.191, respectively in the arterial segments without thrombosis, and 1.152 ± 0.258 and 1.294 ± 0.313, respectively in the arterial segments with thrombosis (P<0.001, respectively). The values of SUVmean in the pre-triggered arterial segments were used to plot a receiver operating characteristic curve (ROC) for predicting thrombosis events. Area under the curve (AUC) was 0.898. Maximal sensitivity and specificity (75.4% and 88.5%, respectively) were obtained when SUVmean was 0.882. CONCLUSIONS: Vulnerable and stable plaques can be distinguished by quantitative analysis of (18)F-FDG uptake in the arterial segments in this rabbit model. PET/CT may be used for predicting thrombosis events and risk-stratification in patients with atherosclerotic disease.