Laboratory Investigation

Heterogeneous Distribution of Human Papillomavirus (HPV) Integration Sites in Cervical Precancers Compromises the Diagnostic Accuracy of Integrant-Specific PCR

Human papillomavirus (HPV) DNA integration into the host genome is a frequent event in cervical carcinogenesis and may drive clonal expansion of the affected cells. Based on viral cellular junction (vcj) sequences, highly specific vcj-PCRs can be designed to detect viral integrants in DNA from cervical cell scrapes or tissue samples. In a recent study, such patient-specific vcj-PCR assays were employed for the detection of recurrent high-grade squamous intraepithelial lesions (HSIL) during postoperative surveillance. Although the specificity of vcj-PCR was 100%, only 50% of the recurrences were detected using this approach. The focus of the current study was to analyze the cause of this limited sensitivity. Using chemical microdissection and subsequent vcj-PCR analysis, we could demonstrate that the majority of lesions have a heterogeneous integrant pattern. Only 2 of 16 cones showed a homogeneous distribution of the respective integrants throughout the entire lesion. The other lesions displayed clonal outgrowths harboring the integrant in a background HPV16/18 DNA-positive HSIL tissue. In 4 cases, the respective integrant was undetectable in the lesion. These findings indicate that vcj-PCR has limited sensitivity for the detection of recurrent disease owing to intralesional heterogeneity. The observed heterogeneous integrant pattern may thus reflect the multifocal nature of most large HSIL. Alternatively, the possibility that HPV integration may be a late event in the carcinogenic process also needs to be considered.

PLODs are overexpressed in ovarian cancer and are associated with gap junctions via connexin 43

Procollagen-lysine, 2-oxoglutarate 5-dioxygenases (PLODs) play important roles in cancer progression, but their role in ovarian cancer remains elusive. In silico analysis of expression of PLODs in ovarian cancer was performed with reproduction of The Cancer Genome Atlas dataset. PLOD-enriched pathways and related gene(s) were validated by immunohistochemistry (IHC) in 80 ovarian cancer tissue blocks and in vivo xenograft murine models. PLODs (PLOD-1, -2, and -3) were overexpressed in ovarian cancer tissue. Overexpression of individual PLODs showed mutual exclusivity. Each of the three PLODs was differentially expressed between normal and cancer tissue of the ovary. PLOD1 was not prognostic, whereas lower PLOD2 and higher PLOD3 expression were associated with worsened prognosis, respectively. Cases with PLOD overexpression showed enrichment in gap junctions. GJA1 (connexin 43) was significantly overexpressed in cases with PLOD overexpression. IHC in tissue showed the strongest positive correlation between PLOD3 and connexin 43 expression, followed by PLOD2. As per Harmonizome, we selected SKOV3 and CAOV3 cell lines based on constitutive high PLOD1 and PLOD2/PLOD3 expression, respectively for in vitro and in vivo modeling. Only knockdown of PLOD3 was significantly associated with decreased GJA1 expression level in both cell lines. IHC in murine xenograft tumors also showed significantly lower connexin 43 in PLOD3-KD SKOV3 tumors. We conclude that PLODs are generally overexpressed in ovarian cancer and each PLOD may be functionally non-redundant. Association between PLOD3 and gap junctions warrants further investigation.

Collagen synthesis and gap junctions: the highway for metastasis of ovarian cancer

Whole transcriptome signature for prognostic prediction (WTSPP): application of whole transcriptome signature for prognostic prediction in cancer

Developing prognostic biomarkers for specific cancer types that accurately predict patient survival is increasingly important in clinical research and practice. Despite the enormous potential of prognostic signatures, proposed models have found limited implementations in routine clinical practice. Herein, we propose a generic, RNA sequencing platform independent, statistical framework named whole transcriptome signature for prognostic prediction to generate prognostic gene signatures. Using ovarian cancer and lung adenocarcinoma as examples, we provide evidence that our prognostic signatures overperform previous reported signatures, capture prognostic features not explained by clinical variables, and expose biologically relevant prognostic pathways, including those involved in the immune system and cell cycle. Our approach demonstrates a robust method for developing prognostic gene expression signatures. In conclusion, our statistical framework can be generally applied to all cancer types for prognostic prediction and might be extended to other human diseases. The proposed method is implemented as an R package (PanCancerSig) and is freely available on GitHub ( https://github.com/Cheng-Lab-GitHub/PanCancer_Signature ).

The Role of Replication Stress-Related Genes in Cervical Cancer Radiotherapy Resistance: A Bioinformatic and Experimental Validation

Cervical cancer (CC) remains a major global health challenge, with radiotherapy resistance (RR) representing a critical impediment to treatment efficacy. This study investigated the underlying mechanisms of replication stress (RS) in RR and identified potential therapeutic targets for CC. A comprehensive bioinformatics workflow was applied to analyze the expression profiles and prognostic significance of RS-related differentially expressed genes (RSRDs) in patients with RR. The prognostic utility of an RS-based risk score model was subsequently evaluated in the context of the tumor microenvironment, somatic mutation landscape, etc. The clinical relevance of the identified hub RSRDs was validated through immunohistochemistry, univariate and multivariate Cox regression analyses, and a prognostic nomogram using data from a real-world patient cohort. Functional assays conducted both in vitro and in vivo further confirmed the role of the key RSRD. Thus, enrichment analysis of the 124 common differentially expressed genes showed RS-related biological processes were enriched. The RS risk score model, constructed using 2 hub RSRDs (AXIN1 and C-terminal binding protein 1) identified through Least Absolute Shrinkage and Selection Operator (LASSO) regression, showed strong diagnostic and prognostic performance. Enrichment analysis showed the risk score model influenced CC prognosis by tumor microenvironment and mutation, etc. Immunohistochemistry analysis of tissue microarrays explored a significant downregulation of AXIN1 in RR samples. AXIN1 was also an independent prognosis biomarker for CC patients, particularly among patients receiving radiotherapy. Knockdown of AXIN1 significantly inhibited the radiosensitivity in CC cell lines, and in vivo experiments showed AXIN1 knockdown led to increased tumor volume following radiotherapy. Molecular docking analysis illustrated JQ1 may promote AXIN1 expression. This study is the first to identify AXIN1 as a replication stress-associated gene with prognostic value in CC, specifically in the context of radiotherapy. These findings may support personalized treatment strategies and provide a foundation for future investigations into RS-targeted therapies in CC.

Role of Reserve Cells in Metaplasia and the Development of Human Papillomavirus–Associated High-Grade Squamous Intraepithelial Lesions at the Cervical Transformation Zone

Squamous cervical cancers generally arise as a result of persistent infection with high-risk human papillomaviruses (hrHPVs) and occur near the squamocolumnar junction (SCJ) and within the transformation zone (TZ). The susceptibility of the TZ to HPV-related carcinogenesis appears linked to epithelial cell plasticity, with squamous metaplasia originating from a specialized stem cell population at this site. Two alternative cell populations have been implicated: keratin (K)7+ve cuboidal cells located at the SCJ vs a more broadly distributed K17+ve cervical reserve cell population. To distinguish between the hypotheses, we utilized multiplex immunofluorescence and large-scale digital imaging to map cell populations at the TZ of 165 women with and without hrHPV infections. Our results did not reveal a distinct population of K7+ cuboidal cells at the SCJ but found instead that the cuboidal and columnar cells of the TZ express K7 and K8 throughout and lack the p63 transcription factor required for epithelial stratification. Squamous metaplasia and reserve cells, which are defined by their subcolumnar location and pattern of biomarker expression (K5/K17/P63), were conspicuous at cervical crypt entrances within the TZ extending proximally toward the endocervix. In HPV-infected tissue, crypt-entrance regions with thin high-grade squamous intraepithelial lesion pathology showed prominent expression of hrHPV E6/E7 mRNA, as detected by fluorescence in situ hybridization, and p16/MCM expression, with infection also apparent in neighboring reserve cells. In some instances, normal/uninfected reserve cells (E6/E7 mRNA-ve) and squamous metaplasia were not only seen close to these regions of hrHPV infection but also extended well beyond the infected area both laterally and by depth. Our results confirm that the reserve cells underneath the columnar epithelia at TZ have the potential to undergo malignant squamous transformation via reserve cell proliferation, in agreement with previous histopathological studies. These translational findings highlight the importance of understanding the molecular biology of the epithelial sites where HPV cancers develop and suggest that in high-risk individuals, treatment strategies should target a wider area than previously thought.

The Molecular Landscape of 227 Adult Granulosa Cell Tumors of the Ovary: Insights into the Progression from Primary to Recurrence

Adult granulosa cell tumors (AGCTs) of the ovary are characterized by their propensity for late recurrences and are primarily managed surgically due to the limited efficacy of systemic treatment. The FOXL2 p.C134W somatic mutation has been identified in ∼95% of AGCT cases, and TERT promoter alterations have been linked to worse overall survival. This study highlights the potential prognostic significance of FOXO1 mutations, suggesting that they may be associated with poorer overall survival and shorter time to recurrence. A total of 183 primary AGCTs and 44 recurrences without corresponding primary tumors were analyzed. The primary AGCTs were categorized into 3 groups: 77 nonrecurrent tumors, 18 tumors that later recurred (including 9 cases with matched primary-recurrence pairs), and 88 tumors with unknown recurrence status. Targeted next-generation sequencing was conducted on 786 cancer-related genes to investigate their genetic profile. The study aimed to identify the molecular alterations associated with AGCT pathogenesis and recurrence rate, comparing primary versus recurrent tumors, and primary recurrent versus primary nonrecurrent cases. Our findings confirmed the high prevalence (99%) of the FOXL2 p.C134W mutation in AGCTs. Secondary truncating FOXL2 mutations were observed in 5% of cases. Two cases with typical AGCT morphology were FOXL2 wild-type, harboring mutations in KRAS or KMT2D instead, suggesting alternative genetic pathways. TERT promoter mutations were found in 43% of cases, more frequently in recurrences. Other recurrent mutations detected in the cohort included KMT2D (10%), FOXO1 (7%), CHEK2 (5%), TP53 (3.5%), PIK3CA (3.5%), and AKT1 (3%). Two recurrent, FOXL2-mutated cases also carried DICER1 mutations. One tumor exhibited MSI-high status and a tumor mutation burden of 19 mut/Mb.Our results indicate the need for further investigation into the role of FOXO1 as a potential prognostic marker in AGCTs.

Structural Elucidation and Prognostic Relevance of 297-11A-Sulfated Glycans in Ovarian Carcinoma

Ovarian carcinoma is usually diagnosed at an advanced stage with peritoneal dissemination and/or lymph node metastasis, and the prognosis for such advanced carcinoma is very poor. Therefore, new biomarkers to predict patient prognosis are needed. Miyamoto et al. previously showed that keratan sulfate (KS) detected by the 5D4 monoclonal antibody was expressed in ovarian carcinoma. However, the detailed structure of such KS was not determined, and the biological significance of this finding remained to be clarified. We previously generated the 297-11A monoclonal antibody, which recognizes galactose (Gal)-6-O-sulfated N-acetyllactosamine (LacNAc) located at the nonreducing terminus. Because the 297-11A epitope overlaps with that of 5D4, here we chose to use the 297-11A antibody as a tool to analyze KS and related structures. We conducted immunohistochemical analysis of 98 ovarian carcinoma cases with 297-11A antibody combined with a series of glycosidases and performed mass spectrometry analysis of the human serous ovarian carcinoma cell line OVCAR-3 to deduce the glycan structure of 297-11A-sulfated glycans. We also performed western blot analysis to assess a potential association of 297-11A-sulfated glycans with the mucin core protein mucin 16 (MUC16; also known as cancer antigen 125 (CA125)). Finally, we examined the relationship between 297-11A expression and patient prognosis. Consequently, 297-11A-sulfated glycans were primarily expressed in serous and endometrioid carcinomas and poorly expressed in mucinous and clear cell carcinomas. We reveal that structurally, 297-11A-sulfated glycans expressed in ovarian carcinoma are O-glycans carrying partially sialylated, Gal-6-O-sulfated LacNAc and that these glycans are likely displayed on MUC16 mucin core proteins. Of clinical importance is that expression of 297-11A-sulfated glycans correlated with shorter progression-free survival in patients. Thus, 297-11A-sulfated glycans may serve as a predictor of ovarian carcinoma recurrence.

Quantitative analysis of abnormalities in gynecologic cytopathology with deep learning

Cervical cancer is one of the most frequent cancers in women worldwide, yet the early detection and treatment of lesions via regular cervical screening have led to a drastic reduction in the mortality rate. However, the routine examination of screening as a regular health checkup of women is characterized as time-consuming and labor-intensive, while there is lack of characteristic phenotypic profile and quantitative analysis. In this research, over the analysis of a privately collected and manually annotated dataset of 130 cytological whole-slide images, the authors proposed a deep-learning diagnostic system to localize, grade, and quantify squamous cell abnormalities. The system can distinguish abnormalities at the morphology level, namely atypical squamous cells of undetermined significance, low-grade squamous intraepithelial lesion, high-grade squamous intraepithelial lesion, and squamous cell carcinoma, as well as differential phenotypes of normal cells. The case study covered 51 positive and 79 negative digital gynecologic cytology slides collected from 2016 to 2018. Our automatic diagnostic system demonstrated its sensitivity of 100% at slide-level abnormality prediction, with the confirmation with three pathologists who performed slide-level diagnosis and training sample annotations. In the cellular-level classification, we yielded an accuracy of 94.5% in the binary classification between normality and abnormality, and the AUC was above 85% for each subtype of epithelial abnormality. Although the final confirmation from pathologists is often a must, empirically, computer-aided methods are capable of the effective extraction, interpretation, and quantification of morphological features, while also making it more objective and reproducible.

The Rare Gynecologic Sarcoma Study: Molecular and Clinicopathologic Results of A Project on 379 Uterine Sarcomas

The Rare Gynecologic Sarcoma study involved 23 institutions from 10 countries focusing on myxoid leiomyosarcoma and non-smooth muscle uterine sarcomas. Here, we present the main results of the study, including the comparison between the original and final diagnosis, the frequency and type of molecular aberrations, and the clinicopathologic outcomes. A total of 379 cases were included, with available results for next-generation sequencing (NGS) RNA in 338 of 379 cases and NGS DNA in 335 of 379 cases. According to the original diagnoses, the study included 204 cases of low-grade endometrial stromal sarcoma (LG-ESS), 75 cases of high-grade endometrial stromal sarcoma (HG-ESS), 74 cases of undifferentiated uterine sarcoma (UUS), 17 cases of myxoid leiomyosarcoma, and 9 cases of unclassifiable sarcoma. The results of our second reading showed that 29% (110/379) of all the tumors had been originally misdiagnosed. After the reclassification, the final diagnoses were 147 cases of LG-ESS, 69 cases of HG-ESS, 58 cases of UUS, 3 cases of LG-ESS with high-grade transformation, 7 cases of perivascular epithelioid cell tumor, 9 cases of uterine tumor resembling ovarian sex cord tumor, 8 cases of tumors with a KAT6B/A::KANSL1 fusion, 2 cases of tumors with an NTRK fusion, 29 cases of undifferentiated carcinoma, and 47 tumors with smooth muscle differentiation. The molecular testing showed that LG-ESS harbor a recurrent fusion in 75.9% and HG-ESS in 43.7% of cases. The results of our study emphasize the diagnostic, prognostic, and predictive significance of molecular testing in mesenchymal uterine tumors.

Prognostic Significance of the Immune Microenvironment in Endometrial Cancer

This study used artificial intelligence (AI)-based analysis to investigate the immune microenvironment in endometrial cancer (EC). We aimed to evaluate the potential of AI-based immune metrics as prognostic biomarkers. In total, 296 cases with EC were classified into 4 molecular subtypes: polymerase epsilon ultramutated (POLEmut), mismatch repair deficiency (MMRd), p53 abnormal (p53abn), and no specific molecular profile (NSMP). AI-based methods were used to evaluate the following immune metrics: total tumor-infiltrating lymphocytes (TIL), intratumoral TIL, stromal TIL, and tumor cells using Lunit SCOPE IO, as well as CD4+, CD8+, and FOXP3+ T cells using immunohistochemistry (IHC) by QuPath. These 7 immune metrics were used to perform unsupervised clustering. PD-L1 22C3 IHC expression was also evaluated. Clustering analysis demonstrated 3 distinct immune microenvironment groups: immune active, immune desert, and tumor dominant. The immune-active group was highly prevalent in POLEmut, and it was also seen in other molecular subtypes. Although the immune-desert group was more frequent in NSMP and p53mut, it was also detected in MMRd and POLEmut. POLEmut showed the highest levels of CD4+ and CD8+ T cells, total TIL, intratumoral TIL, and stromal TIL with the lowest levels of FOXP3+/CD8+ ratio. In contrast, p53abn in the immune-active group showed higher FOXP3+/CD4+ and FOXP3+/CD8+ ratios. The immune-active group was associated with favorable overall survival and recurrence-free survival. In the NSMP subtype, a significant association was observed between immune active and better recurrence-free survival. The PD-L1 22C3 combined positive score (CPS) showed significant differences among the 3 groups, with the immune-active group having the highest median CPS and frequency of CPS ≥ 1%. The immune microenvironment of EC was variable within molecular subtypes. Within the same immune microenvironment group, significant differences in immune metrics and T cell composition were observed according to molecular subtype. AI-based immune microenvironment groups served as prognostic markers in ECs, with the immune-active group associated with favorable outcomes.

Fibroblast Growth Factor Receptors and Ligands in Context of Bevacizumab Response in Ovarian Carcinoma: An Exploratory Analysis of AGO-OVAR11/ICON-7

With more novel drugs being approved for the treatment of ovarian carcinoma, the question remains to what extent patients benefit from antiangiogenic treatment with bevacizumab, either in combination with poly-(ADP-ribose) polymerase inhibitors or as single-agent maintenance. As fibroblast growth factor receptors and their ligands (FGFRs/FGFs) are key players in angiogenic signaling and have been linked to resistance to several drugs, we investigated the prognostic or predictive potential of FGFs/FGFRs signaling in the context of bevacizumab treatment within the prospective phase III AGO-OVAR11/ICON-7 study. FGFR1, FGFR2, FGFR3, FGFR4, FGF1, and FGF19 gene expressions were determined in 380 ovarian carcinoma tumor samples collected from German centers in the multicenter phase III AGO-OVAR11 trial/ICON-7 trial. All patients received carboplatin and paclitaxel, administered every 3 weeks for 6 cycles, and were randomized to bevacizumab. Expressions of FGFR1, FGFR2, FGF1, and FGF19 were associated with progression-free survival in both uni- and multivariate (FGFR1: HR, 1.6, P < .001; FGFR2: HR, 1.6, P = .002; FGF1: HR, 2.3, P < .001; and FGF19: HR, 0.7; P = .007) analysis. A signature built by FGFR1, FGFR4, and FGF19 defined a subgroup (n = 62) of patients that derived the greatest bevacizumab-associated improvement of progression-free survival (HR, 0.3; P = .004). In this exploratory analysis of a prospective randomized phase III trial, we provide evidence that the expression of FGFRs/FGFs might have independent prognostic values. An FGFR/FGF-based gene signature identified in our study appears to predict long-term benefit from bevacizumab. This observation is hypothesis-generating and requires validation on independent cohorts.

Assessing the Status of Cyclin E1 (CCNE1) From Gene to Protein Level in Ovarian and Endometrial Carcinomas: A Systematic Review

Twenty percent and 45.4% of high-grade ovarian carcinomas (OC) and endometrial carcinomas (EC) exhibit CCNE1 amplification (CCNE1-amp), respectively, which is related to poor prognosis, but could serve as predictive biomarker for response to innovative targeted therapies. However, there is no consensus regarding how to evaluate the CCNE1 status (at the DNA, RNA, and/or protein level). Therefore, we conducted a systematic review of CCNE1 status testing in tubo-ovarian neoplasms and EC, comparing their performance for clinical purposes and highlighting the test's interpretation criteria (CRD420250651291). Among the 734 records initially found on PubMed and Google Scholar, 48 reports were finally included. Molecular analyses and immunohistochemistry (IHC) were reported on 9774 tubo-ovarian neoplasms and 750 EC, and 6966 tubo-ovarian neoplasms and 856 EC, respectively. The most frequently morphological used method to detect CCNE1-amp was fluorescent in situ hybridization (13/16 studies, 81.3%), with quite consensual criteria to defined amplification (ie, CCNE1/chromosome 19 ratio ≥2, and/or >8/≥8 copies of CCNE1 per nucleus, and/or ≥4 CCNE1 copies in ≥40% of cells). The proportion of tubo-ovarian neoplasms with CCNE1 immunohistochemical overexpression varied from 13.5% to 96%, and 14.6% to 86.1% in EC. The sensitivity and specificity of CCNE1 IHC to detect/exclude CCNE1-amp varied from 54.5% to 100% and 59.3% to 90.1%, respectively. Given the reported data, CCNE1 overexpression should be considered either when an H-score is ≥100 or when the staining is >60% with >5% of cells strongly stained. Both CCNE1-amp and CCNE1 overexpressions were associated with poor prognosis and with response to Wee1 and CDK2 inhibitors in high-grade serous OC (overall response rate up to 53%, objective response rate of 32%-40%). In contrast, CCNE1 messenger RNA overexpression had no prognostic value. Thus, both CCNE1-amp detection by fluorescent in situ hybridization and CCNE1 protein levels quantification using IHC represent today the most validated tools to determine the CCNE1 status in OC/EC.

Analysis of Human Epidermal Growth Factor Receptor 2 (HER2) Heterogeneity at the Protein and Gene Levels in Endometrial Cancer: Refining HER2 Reporting and HER2-Directed Therapies

Targeted therapy directed against human epidermal growth factor receptor 2 (HER2) has shown promising results in HER2-positive endometrial cancer. Recent limited data suggest significant intratumoral heterogeneity in HER2 expression in serous carcinomas. We aimed to evaluate HER2 heterogeneity at the protein and gene levels and the impact of variable definitions in endometrial carcinomas including nonserous subtypes. We retrospectively identified biopsies and surgical specimens with available HER2 immunohistochemical (IHC) stains and fluorescence in situ hybridization (FISH) results. IHC stains and FISH data were reevaluated to assess variability in the HER2 protein expression and gene amplification. The overall HER2-positivity rate was 31% using the endometrial criteria, and 42.6% by the gastric criteria. Heterogeneous IHC staining was observed in 45.7% of tumors, predominating in 2+/3+ scores (P < .001). Re-evaluation of FISH revealed a 31% rate of heterogeneous gene amplification. Our study demonstrates a high frequency of HER2 heterogeneity at both the protein and the gene levels. Further studies on HER2 heterogeneity and treatment response are warranted for refining standardized testing and reporting algorithms.

An Innovative and Accurate Next-Generation Sequencing–Based Microsatellite Instability Detection Method for Colorectal and Endometrial Tumors

The detection of microsatellite instability (MSI) and mismatch repair (MMR) deficiency has become mandatory for most tumors in recent years, owing to the development of immune checkpoint inhibitors as a highly effective therapy for MMR deficiency/MSI tumors. The timely and efficient detection of MSI is valuable, and new methods are increasingly being developed. To date, MMR assessment has been performed using immunohistochemistry of the 4 MMR proteins and/or microsatellite stability/MSI using PCR, mostly using the pentaplex panel. The implementation of next-generation sequencing (NGS) for MSI analysis would improve the effectiveness at a lower cost and in less time. This study describes the development of 8 new microsatellites combined with a classification algorithm, termed "Octaplex CaBio-MSID" (for Cancérologie Biologique MSI Detection tool), to assess MSI using NGS. A series of 303 colorectal cancer and 88 endometrial cancer samples were assessed via MSI testing using NGS using the Octaplex CaBio-MSID algorithm. The sensitivity and specificity of Octaplex CaBio-MSID were 98.4% and 98.4% for colorectal cancers, and 89.3% and 100% for endometrial cancers, respectively. This new NGS-based MSI detection method outperforms previously published methods (ie, Idylla [Biocartis], OncoMate MSI Dx [Promega], and Foundation One CDx [Roche Foundation Medicine]). Although highly efficient, Octaplex CaBio-MSID requires validation in a larger independent series of different tumor types.

Brusatol sensitizes endometrial hyperplasia and cancer to progestin by suppressing NRF2-TET1-AKR1C1-mediated progestin metabolism

Progestin resistance is the main obstacle for the conservative therapy to maintain fertility in women with endometrial cancer. Brusatol was identified as an inhibitor of the NRF2 pathway; however, its impact on progestin resistance and the underlying mechanism remains unclear. Here, we found that brusatol sensitized endometrial cancer to progestin by suppressing NRF2-TET1-AKR1C1-mediated progestin metabolism. Brusatol transcriptionally suppressed AKR1C1 via modifying the hydroxymethylation status in its promoter region through TET1 inhibition. Suppression of AKR1C1 by brusatol resulted in decreased progesterone catabolism and maintained potent progesterone to inhibit endometrial cancer growth. This inhibition pattern has also been found in the established xenograft mouse and organoid models. Aberrant overexpression of AKR1C1 was found in paired endometrial hyperplasia and cancer samples from the same individuals with progestin resistance, whereas attenuated or loss of AKR1C1 was observed in post-treatment samples with well progestin response as compared with paired pre-treatment tissues. Our findings suggest that AKR1C1 expression pattern may serve as an important biomarker of progestin resistance in endometrial cancer.

Potential Role of PARVB in Macrophage-Mediated Immunosuppression and Cervical Cancer Progression

This study aimed to identify and characterize novel macrophage-related molecular mechanisms underlying immunosuppression and tumor progression in cervical cancer. Through a systematic integrative analysis guided by immune-related gene signatures and robust regression modeling, we identified PARVB as a novel macrophage-associated prognostic gene with strong predictive value across multiple data sets. Further validation using large-scale transcriptomic data and single-cell RNA-sequencing profiles revealed that PARVB likely activates the SMAD signaling axis, leading to the upregulation of TNFSF13, a key driver of M2 macrophage polarization. This PARVB-SMAD3-TNFSF13 axis enhances interactions between M2 macrophages and TNFSF13

N6-Methyladenosine–Modified KREMEN2 Promotes Tumorigenesis and Malignant Progression of High-Grade Serous Ovarian Cancer

High-grade serous ovarian cancer (HGSOC) remains the most lethal female cancer by far. Herein, clinical HGSOC samples had higher N

Improved Prognostic Stratification With 2023 International Federation of Gynecology and Obstetrics Staging in Endometrial Cancer Reflecting Poor Prognosis of Aggressive Histological Types and p53 Abnormality

This study compares the distribution and prognostic impact of the 2009 and 2023 International Federation of Gynecology and Obstetrics (FIGO) staging systems for endometrial cancer and their impact on the 2022 European Society for Medical Oncology (ESMO) risk classification. Patients were restaged according to the 2009 FIGO staging system, the 2023 FIGO staging system, and the 2023 FIGO staging system with molecular classification. Risk groups were assigned according to the 2022 ESMO guidelines using each staging system. Among 679 patients, 139 (20.5%) experienced stage migration when transitioning from the 2009 FIGO staging system to the 2023 FIGO staging system with molecular classification, with 121 (17.8%) upstaged and 18 (2.7%) downstaged. Most changes were from FIGO stage I to stage II, primarily due to p53 abnormality, aggressive histological type, or extensive/substantial lymphovascular space invasion. Hazard ratios for overall survival, disease-free survival, and event-free survival increased with advancing stage groups in all systems, showing the greatest differences when the 2023 FIGO staging system with molecular classification was used. The newly introduced FIGO stages IC, IIC (both representing aggressive histological types), and IICmp53abn (associated with p53 abnormality) in the 2023 FIGO staging system were associated with worse outcomes, similar to FIGO stage III. The prognostic predictability of the 2022 ESMO risk group was minimally affected by the transition from the 2009 FIGO to the 2023 FIGO staging system, as the factors introduced in the new FIGO system were already incorporated into the 2022 ESMO risk classification. Only 17 (2.5%) patients experienced a change in their assigned risk group. The 2023 FIGO staging system showed improved prognostic stratification over the 2009 FIGO staging system, particularly by reflecting the poor prognosis of aggressive histological types and p53 abnormality.

Deep Learning Can Predict Bevacizumab Therapeutic Effect and Microsatellite Instability Directly from Histology in Epithelial Ovarian Cancer

Epithelial ovarian cancer (EOC) remains a significant cause of mortality among gynecologic cancers, with the majority of cases being diagnosed at an advanced stage. Before targeted therapies were available, EOC treatment relied largely on debulking surgery and platinum-based chemotherapy. Vascular endothelial growth factors have been identified as inducing tumor angiogenesis. According to several clinical trials, anti-vascular endothelial growth factor-targeted therapy with bevacizumab was effective in all phases of EOC treatment. However, there are currently no biomarkers accessible for regular therapeutic use despite the importance of patient selection. Microsatellite instability (MSI), caused by a deficiency of the DNA mismatch repair system, is a molecular abnormality observed in EOC associated with Lynch syndrome. Recent evidence suggests that angiogenesis and MSI are interconnected. Developing predictive biomarkers, which enable the selection of patients who might benefit from bevacizumab-targeted therapy or immunotherapy, is critical for realizing personalized precision medicine. In this study, we developed 2 improved deep learning methods that eliminate the need for laborious detailed image-wise annotations by pathologists and compared them with 3 state-of-the-art methods to not only predict the efficacy of bevacizumab in patients with EOC using mismatch repair protein immunostained tissue microarrays but also predict MSI status directly from histopathologic images. In prediction of therapeutic outcomes, the 2 proposed methods achieved excellent performance by obtaining the highest mean sensitivity and specificity score using MSH2 or MSH6 markers and outperformed 3 state-of-the-art deep learning methods. Moreover, both statistical analysis results, using Cox proportional hazards model analysis and Kaplan-Meier progression-free survival analysis, confirm that the 2 proposed methods successfully differentiate patients with positive therapeutic effects and lower cancer recurrence rates from patients experiencing disease progression after treatment (P < .01). In prediction of MSI status directly from histopathology images, our proposed method also achieved a decent performance in terms of mean sensitivity and specificity score even for imbalanced data sets for both internal validation using tissue microarrays from the local hospital and external validation using whole section slides from The Cancer Genome Atlas archive.

Copy Number Profiling Implicates Thin High-Grade Squamous Intraepithelial Lesions as a True Precursor of Cervical Human Papillomavirus-Induced Squamous Cell Cancer

Full-thickness high-grade squamous intraepithelial lesions (HSIL) are precursors of invasive cervical squamous cell carcinoma (SCC). The World Health Organization and Lower Anogenital Squamous Terminology Standardization Project for human papilloma virus (HPV)-associated lesions divide full-thickness HSIL of the cervix into thin HSIL with thickness of 1 to 9 cell layers and the typical full-thickness HSIL of >10 cell layers. Although HPV oncogene transcripts and p16ink4a overexpression, as markers of transforming HPV infection, are detectable in thin HSIL, the biological significance of thin HSIL in cervical carcinogenesis remains poorly understood. To further characterize thin HSIL, we performed a comparative study of chromosomal copy number variations (CNV), an analysis of dysregulated genes present in the segments with CNV, and a generalized genetic complexity calculation for 31 thin HSIL, 31 thick HSIL, 24 microinvasive SCC (pT1a SCC), and 22 highly invasive SCC samples. Thin HSIL share various CNV and specific dysregulated gene pathways with thick HSIL and invasive SCC. Thin HSIL exhibited an average CNV of 11.6% compared with 14.1% for thick HSIL, 15.5% for pT1a SCC, and 26.6% for highly invasive SCC. The CNV included gains at 1q and 3q (40% and 43%, respectively), partial loss of 3p, and loss of chromosomes 11 (18%), 16 (50%), 20 (35%), and 22 (40%). Pathways affected solely in thin HSIL were those enhancing immune evasion and primarily involved the (interleukin) IL6, IL21, and IL23 genes. ILs are transiently upregulated in response to infection and play a crucial role in mounting antitumor T-cell activity. Deregulation reflects an attempt by the HPV to evade the initial immune response of the host. The primary pathways shared by thick HSIL and invasive SCC were interactions between lymphoid and nonlymphoid cells, NOTCH2 signaling, tight junction interactions (primarily of the claudin family), and FGR2 alternative splicing. Our results show that thin HSIL carry similar genetic changes as thick HSIL and SCC, indicating that thin HSIL are true precursor lesions that can progress to thick HSIL and SCC.

Automated Scoring to Assess RAD51-Mediated Homologous Recombination in Ovarian Patient-Derived Tumor Organoids

Poly(ADP-ribose) polymerase inhibitors (PARPi) have been shown to improve progression-free survival, particularly in homologous recombination-deficient ovarian cancers. Identifying patients eligible for PARPi is currently based on next-generation sequencing, but the persistence of genomic scars in tumors after restoration of homologous recombination (HR) or epigenetic changes can be a limitation. Functional assays could thus be used to improve this profiling and faithfully identify homologous recombination-deficient tumors. The repair capacity (RECAP) test assesses the formation of RAD51 foci in proliferating cells after irradiation and can be used on tumors as well as on patient-derived tumor organoids (PDTO). However, RAD51 foci scoring is often performed manually without standardization. The purpose of this translational study was to develop an automated tool for scoring RAD51-mediated HR based on whole slide imaging of ovarian PDTO. To that end, we quantified Cyclin A2 and RAD51 immunofluorescence on 9 PDTO models derived from 8 ovarian cancer patients, and next, we compared the RECAP test results to genome instability score and to the patient clinical response. We therefore developed a standardized and automatized quantitative histoimaging tool allowing a comparative RAD51 foci evaluation and thus to define the HR status in PDTO. Our RECAP-based classification was correlated to the genome instability score, offering a new opportunity for standardization of HR assessment in PDTO. This new automated tool to score HR status, which remains to be validated on a large cohort of patients, may thus be used as a complement to next-generation sequencing-based tests in order to improve the identification of the number of patients eligible for PARPi.

Associations of Single Versus Multiple Human Papillomavirus Infections With the Prevalence of Cervical Intraepithelial Neoplasia 2/3 and Squamous Cell Carcinoma Lesions: Human Papillomavirus Type–Specific Attribution

The risk of developing cervical squamous lesions in women with multiple high-risk human papillomavirus (hrHPV) infections is uncertain. The aim of this retrospective study was to investigate the type-specific attribution and phylogenetic effects of single and multiple hrHPV subtypes in cervical squamous lesions. All cases with cervical histopathologic diagnosis and human papillomavirus (HPV) genotyping results in the 6 months preceding biopsy from October 2018 to December 2022 were studied and analyzed. Over the study period, 70,361 cases with histopathologic follow-up and prior HPV genotyping were identified. The hrHPV-positive rate was 55.6% (39,104/70,361), including single hrHPV detected in 27,182 (38.6%), 2 types of hrHPV detected in 8158 (11.6%), and 3 types of hrHPV detected in 2486 (3.5%). Among 16,457 cases with a histologically diagnosed squamous lesion (cervical intraepithelial neoplasia 1: 11411; cervical intraepithelial neoplasia 2/3: 4192; squamous cell carcinoma: 854 cases), the prevalence of single hrHPV infection increased, but the rate of multiple concomitant hrHPV infections showed negative association as the degree of squamous lesions increased. Among women with a single HPV16 infection, cervical intraepithelial neoplasia 2/3 and squamous cell carcinoma (CIN2+) diagnostic rate was 30.6%, and it increased to 47.6% when coinfected with HPV33 (P < .001) but significantly decreased when coinfected with all other hrHPV types (P < .05). By comparing CIN2+ diagnostic rates in 40 most common 2 types of hrHPV infections with related single hrHPV infection, CIN2+ rates were decreased in 12 combinations (30.0%), equivalent in 26 combinations (65.0%), and increased in 2 combinations (5.0%). The cases with 3 types of HPV infections reduced the risk for CIN2+ compared with related single HPV infections. HPV16+52+53, HPV16+52+68, HPV16+52+51, HPV16+39+52, and HPV16+58+53 significantly decreased the risk of CIN2+ compared with HPV16 single infection (P < .05). This study demonstrates that multiple hrHPV infections are not associated with cumulatively higher risk for CIN2+ development, suggesting that oncogenic progression of multiple hrHPV-associated cervical squamous lesions is neither synergistic nor a cumulative effect at the phylogenetic level, possibly a way of competitive interference.

Altered glycosylation of glycodelin in endometrial carcinoma

Glycodelin is a major glycoprotein expressed in reproductive tissues, like secretory and decidualized endometrium. It has several reproduction related functions that are dependent on specific glycosylation, but it has also been found to drive differentiation of endometrial carcinoma cells toward a less malignant phenotype. Here we aimed to elucidate whether the glycosylation and function of glycodelin is altered in endometrial carcinoma as compared with a normal endometrium. We carried out glycan structure analysis of glycodelin expressed in HEC-1B human endometrial carcinoma cells (HEC-1B Gd) by mass spectrometry glycomics strategies. Glycans of HEC-1B Gd were found to comprise a typical mixture of high-mannose, hybrid, and complex-type N-glycans, often containing undecorated LacNAc (Galβ1-4GlcNAc) antennae. However, several differences, as compared with previously reported glycan structures of normal human decidualized endometrium-derived glycodelin isoform, glycodelin-A (GdA), were also found. These included a lower level of sialylation and more abundant poly-LacNAc antennae, some of which are fucosylated. This allowed us to select lectins that showed different binding to these classes of glycodelin. Despite the differences in glycosylation between HEC-1B Gd and GdA, both showed similar inhibitory activity on trophoblast cell invasion and peripheral blood mononuclear cell proliferation. For the detection of cancer associated glycodelin, we established a novel in situ proximity-ligation based histochemical staining method using a specific glycodelin antibody and UEAI lectin. We found that the UEAI reactive glycodelin was abundant in endometrial carcinoma, but virtually absent in normal endometrial tissue even when glycodelin was strongly expressed. In conclusion, we established a histochemical staining method for the detection of endometrial carcinoma-associated glycodelin and showed that this specific glycodelin is exclusively expressed in cancer, not in normal endometrium. Similar methods can be used for studies of other glycoproteins.

Single and Multiple High-Risk Human Papillomavirus Infections in Histopathologically Confirmed Cervical Squamous Lesions: Incidences, Distribution, and Associated Detection Rates for Precancerous and Cancerous Lesions

Coinfection with multiple high-risk human papillomavirus (hrHPV) is frequently observed in cervical specimens; however, the clinical significance of concomitant multiple hrHPV infections is poorly understood, and the published results remain inconsistent. A retrospective study at a tertiary care institution was performed, evaluating Tellgenplex human papillomavirus (HPV) 27 genotyping or YanengBio HPV 23 genotyping results and immediate cervical histologic diagnosis (within 6 months after HPV genotyping), between November 2015 and October 2022. Among 49,299 cases with hrHPV genotyping and histologic diagnosis, 24,361 cases were diagnosed as cervical intraepithelial neoplasia (CIN) and squamous cell carcinoma. Among women with cervical squamous lesions, 86.5% (21,070/24,361) had hrHPV infections, and concomitant multiple hrHPV infections accounted for 24.7% of hrHPV-positive cases (5210/21,070). The hrHPV-positive rates in these cervical squamous lesions increased progressively with disease severity; however, the percentages of concomitant multiple hrHPV infection rates among hrHPV-positive cases decreased significantly with increasing degree of squamous abnormalities. There was no increased detection rate of CIN3+ (CIN3 and squamous cell carcinoma) in cases with concomitant 2 or 3 hrHPV genotype infections when compared with those with corresponding single hrHPV infections. Conversely, some combinations of multiple hrHPV infections demonstrated a decrease in the detection rates of CIN3+ lesions. In this large cohort, our results demonstrated that multiple hrHPV infections do not carry an increased risk for developing CIN3+ lesions when compared to the corresponding single-genotype infection. The reduced risk of CIN3+ in women infected with some combinations of hrHPV genotypes compared to those with single-genotype infections supports the concept of intergenotypic competition of hrHPV genotypes in cervical squamous lesions.

Clonal Progression of a DNA Polymerase Epsilon–Mutant Endometrial Cancer With Immune Evasion Characteristics and Metastasis

Renal transplant recipients are at significantly higher risk of developing malignancies because of chronic immunosuppression. Although DNA polymerase epsilon (POLE)-mutated endometrioid carcinoma (EC) typically presents as early-stage disease with an excellent prognosis and rare metastasis, we conducted a study on POLE-mutated EC in a transplant recipient that rapidly progressed and metastasized. We aimed to first elucidate the molecular and immunological mechanisms of rapid and malignant progression in the tumor. To understand the mechanisms underlying this atypical clinical course, we performed histological and immunohistochemical comparisons of the primary endometrial tumor and metastatic peritoneal lesions, alongside next-generation sequencing and RNA sequencing analyses. The primary and metastatic lesions shared 17 somatic mutations, indicating a common origin but demonstrated divergent evolution. Gene expression profiling revealed low CD8+ T-cell infiltration and weak interferon gamma signaling, suggesting an immunologically inactive or "immune desert" tumor microenvironment. Clonal evolution analysis showed that the POLE p.S297F mutation initiated hypermutation and clonal diversification in the primary tumor. In contrast, metastatic lesions exhibited POLE loss and activation of the BRAFV600E::PIK3CD pathway, leading to progress and immune evasion. These findings highlight a distinct evolutionary trajectory of POLE-mutated EC under immunosuppressive conditions in this case and underscore the need for tailored oncological surveillance and treatment strategies in transplant recipients.

Prevalence of Atypical and Subclonal p53 Immunohistochemistry Expression in Mismatch Repair Deficient and/or POLE-Mutant Endometrial Carcinomas with TP53 Mutation

p53 Immunohistochemistry (IHC) is a reliable surrogate for determining TP53 mutation status in endometrial carcinomas (ECs). However, the correlation of p53 IHC patterns and TP53 mutation characteristics in mismatch repair deficiency (MMRd) and/or POLE-mutant ECs was not comprehensively investigated. In this study, we identified 4 p53 expression patterns in 40 MMRd and/or POLE-mutant ECs with TP53 mutations. Thirteen cases (33%) displayed a wild-type pattern. Nine cases (23%) showed atypical pattern, characterized by the presence of eye-catching clustered cells with strong nuclear staining or weak-to-moderate cytoplasmic staining, which were patchily distributed with blurred boundaries. Fourteen cases (35%) demonstrated subclonal pattern with distinct regions of wild-type and mutation-type staining, of which 3 cases were originally misdiagnosed as "mixed EC." Only 4 (10%) cases exhibited typical aberrant pattern. Tumors with wild-type and atypical patterns were predominantly associated with MMRd and POLE mutations, respectively. Among 52 TP53 mutations identified, 75% were missense and 25% were truncating, predominantly in DNA-binding domain. Gain-of-function missense mutations were more frequent in cases with subclonal patterns, whereas non-gain-of-function missense mutations predominated in wild-type or atypical patterns. Concurrent mutations were present in 25% of cases and were more common in aberrant or atypical patterns. Interestingly, 2 POLE wild-type cases with subclonal MMR expression showed p53 overexpression across the entire tumor, complicating molecular subtyping. These findings highlight the prevalence of atypical and subclonal p53 expression patterns in MMRd and/or POLE-mutant ECs with TP53 mutations, aiding in accurate IHC interpretation and thus more precise EC histological and molecular classification.

Indoxyl Sulfate Promotes Metastatic Characteristics of Ovarian Cancer Cells via Aryl Hydrocarbon Receptor–Mediated Downregulation of the Mas Receptor

Although platinum-combination chemotherapy shows a high response rate at the primary site, epithelial ovarian cancer (EOC) treatment remains challenging because of tumor recurrence and metastasis. Recent studies have revealed that chemotherapy paradoxically promotes cancer cell survival, proliferation, and metastasis, although the reason for this remains unclear. The underlying molecular mechanisms that contribute to chemotherapy-induced metastasis need to be elucidated to establish effective therapeutic strategies. Acute kidney injury is a known side effect of cisplatin treatment, and kidney dysfunction results in the accumulation of uremic toxins in the serum. The present study aimed to investigate whether indoxyl sulfate (IS), a representative uremic toxin, affects the pathophysiology of EOC. In this study, IS reduced the expression of Mas receptor (MasR) in cultured human EOC cells. Both knockdown of the aryl hydrocarbon receptor (AhR), which is an intracellular IS receptor, and inhibition of AhR function suppressed IS-mediated downregulation of MasR in SK-OV-3 cells. IS induced the phosphorylation of signal transducer and activator of transcription 3 (STAT3) in an AhR-dependent manner. Inhibition of the STAT3 pathway or reactive oxygen species production suppressed the IS-mediated reduction of MasR. IS stimulated cell migration and invasion of SK-OV-3 cells in an AhR-dependent manner. Cisplatin-nephropathy model mice exhibited elevated levels of serum IS accompanied by elevated levels of blood urea nitrogen and serum creatinine. Furthermore, intraperitoneal administration of IS in mice promoted tumor growth and metastasis. Finally, we found that the MasR agonist Ang-(1-7) suppressed the IS-mediated effects on cell proliferation, migration, and invasion of SK-OV-3 cells. However, the knockdown of MasR expression by specific small interfering RNA in the absence of IS resulted in only minimal promotion of cell migration and invasion. These findings demonstrate that IS promotes malignancy in ovarian cancer via AhR-mediated downregulation of MasR function, whereas Ang-(1-7) attenuates this effect, thereby suggesting that Ang-(1-7) could provide a future treatment strategy for this cancer type.

IL-37bΔ1-45 suppresses the migration and invasion of endometrial cancer cells by targeting the Rac1/NF-κB/MMP2 signal pathway

Endometrial carcinoma is one of the most common malignancies in the female reproductive system. Interleukin-37 (IL-37) is a newly discovered anti-inflammatory factor belonging to the IL-1 family. IL-37 has five different isoforms, and IL-37b is the most biologically functional subtype. In recent years, the protective roles of IL-37 in different cancers, including lung and liver cancers, have been successively reported. IL-37 also plays an important role in some gynecological diseases such as endometriosis, adenomyosis, and cervical cancer. However, the role and mechanism of IL-37b, especially the mature form of IL-37b, in endometrial carcinoma have not been elucidated. The present study demonstrated that IL-37 protein was downregulated in endometrial carcinoma cells compared with the control endometrium. IL-37b did not affect the proliferation and colony-forming ability of endometrial cancer cells. A mature form of IL-37b (IL-37bΔ1-45) effectively suppressed the migration and invasion of endometrial cancer cells by decreasing the expression of matrix metalloproteinase 2 (MMP2) via Rac1/NF-κB signal pathway. However, it did not affect epithelial-mesenchymal transition (EMT) or filamentous actin (F-actin) depolymerization of endometrial cancer cells. IL-37bΔ1-45 attenuated tumor metastasis in a peritoneal metastatic xenograft model of endometrial cancer. To sum up, these results suggested IL-37b could be involved in the pathogenesis of endometrial carcinoma and provide a novel target for the diagnosis and treatment of endometrial carcinoma.

N-methyladenosine reader YTHDF2-mediated long noncoding RNA FENDRR degradation promotes cell proliferation in endometrioid endometrial carcinoma

Dysregulation of long noncoding RNA (LncRNA) FENDDR has been shown to be closely related to the progression of several cancers. However, its role and upstream regulatory mechanism in endometrioid endometrial carcinoma (EEC) remains unclear. This study was conducted using the cancerous tissues of EEC patients (n = 60), EEC cell lines, and a xenograft mouse model. The expression level of LncRNA FENDRR was decreased and the N-methyladenosine (m6A) methylation levels of LncRNA FENDRR was elevated in cancerous tissues of EEC patients. In vitro experiments demonstrated that YTH domain-containing 2 (YTHDF2), an m6A reader, recognized the abundance of m6A-modified LncRNA FENDRR in EEC cells and promoted its degradation. LncRNA FENDRR overexpression suppressed cell proliferation and facilitated cell apoptosis in the EEC cell line HEC-1B by reducing the protein level of SRY-related HMG box transcription factor 4 (SOX4). Interference of LncRNA FENDRR reversed the inhibitory effect of sh-YTHDF2 on cell proliferation and the promoting effect of sh-YTHDF2 on cell apoptosis in HEC-1B cells by silencing FENDRR. Finally, in vivo experiments confirmed that overexpression of LncRNA FENDRR retarded the growth of EEC cells. In conclusion, YTHDF2-mediated LncRNA FENDRR degradation promotes cell proliferation by elevating SOX4 expression in EEC.