Bevacizumab increases the sensitivity of olaparib to homologous recombination-proficient ovarian cancer by suppressing CRY1 via PI3K/AKT pathway.

PARP inhibitors have changed the management of advanced high-grade epithelial ovarian cancer (EOC), especially homologous recombinant (HR)-deficient advanced high-grade EOC. However, the effect of PARP inhibitors on HR-proficient (HRP) EOC is limited. Thus, new therapeutic strategy for HRP EOC is desired. In recent clinical study, the combination of PARP inhibitors with anti-angiogenic agents improved therapeutic efficacy, even in HRP cases. These data suggested that anti-angiogenic agents might potentiate the response to PARP inhibitors in EOC cells. Here, we demonstrated that anti-angiogenic agents, bevacizumab and cediranib, increased the sensitivity of olaparib in HRP EOC cells by suppressing HR activity. Most of the γ-H2AX foci were co-localized with RAD51 foci in control cells. However, most of the RAD51 were decreased in the bevacizumab-treated cells. RNA sequencing showed that bevacizumab decreased the expression of CRY1 under DNA damage stress. CRY1 is one of the transcriptional coregulators associated with circadian rhythm and has recently been reported to regulate the expression of genes required for HR in cancer cells. We found that the anti-angiogenic agents suppressed the increase of CRY1 expression by inhibiting VEGF/VEGFR/PI3K pathway. The suppression of CRY1 expression resulted in decrease of HR activity. In addition, CRY1 inhibition also sensitized EOC cells to olaparib. These data suggested that anti-angiogenic agents and CRY1 inhibitors will be the promising candidate in the combination therapy with PARP inhibitors in HR-proficient EOC.

Paclitaxel sensitizes homologous recombination-proficient ovarian cancer cells to PARP inhibitor via the CDK1/BRCA1 pathway.

OBJECTIVE: An effective treatment strategy for epithelial ovarian cancer (EOC) with homologous recombination (HR)-proficient (HRP) phenotype has not been established, although poly (ADP-ribose) polymerase inhibitors (PARPi) impact the disease course with HR-deficient (HRD) phenotype. Here, we aimed to clarify the cellular effects of paclitaxel (PTX) on the DNA damage response and the therapeutic application of PTX with PARPi in HRP ovarian cancer. METHODS: Two models with different PTX dosing schedules were established in HRP ovarian cancer OVISE cells. Growth inhibition and HR activity were analyzed in these models with or without PARPi. BRCA1 phosphorylation status was examined in OVISE cells by inhibiting CDK1, which was reduced by PTX treatment. CDK1 expression was evaluated in EOC patients treated with PTX-based neoadjuvant chemotherapy. RESULTS: PTX suppressed CDK1 expression resulting in impaired BRCA1 phosphorylation in OVISE cells. The reduced CDK1 activity by PTX could decrease HR activity in response to DNA damage and therefore increase the sensitivity to PARPi. Immunohistochemistry showed that CDK1 expression was attenuated in samples collected after PTX-based chemotherapy compared to those collected before chemotherapy. The decrease in CDK1 expression was greater with dose-dense PTX schedule than with the conventional PTX schedule. CONCULSIONS: PTX could act synergistically with PARPi in HRP ovarian cancer cells, suggesting that the combination of PTX with PARPi may be a novel treatment strategy extending the utility of PARPi to EOC. Our findings provide cules for future translational clinical trials evaluating the efficacy of PTX in combination with PARPi in HRP ovarian cancer.

Multiomic Characterization of High-Grade Serous Ovarian Carcinoma Enables High-Resolution Patient Stratification.

PURPOSE: High-grade serous ovarian carcinoma (HGSOC) is the most common ovarian cancer type; most patients experience disease recurrence that accumulates chemoresistance, leading to treatment failure. Genomic and transcriptomic features have been associated with differential outcome and treatment response. However, the relationship between events at the gene sequence, copy number, and gene-expression levels remains poorly defined. EXPERIMENTAL DESIGN: We perform multiomic characterization of a large HGSOC cohort (n = 362) with detailed clinical annotation to interrogate the relationship between patient subgroups defined by specific molecular events. RESULTS: BRCA2-mutant (BRCA2m) and EMSY-overexpressing cases demonstrated prolonged survival [multivariable hazard ratios (HR) 0.40 and 0.51] and significantly higher first- and second-line chemotherapy response rate. CCNE1-gained (CCNE1g) cases demonstrated underrepresentation of FIGO stage IV cases, with shorter survival but no significant difference in treatment response. We demonstrate marked overlap between the TCGA- and Tothill-derived subtypes. IMR/C2 cases displayed higher BRCA1/2m frequency (25.5%, 32.5%) and significantly greater immune cell infiltration, whereas PRO/C5 cases had the highest CCNE1g rate (23.9%, 22.2%) and were uniformly low in immune cell infiltration. The survival benefit for cases with aberrations in homologous recombination repair (HRR) genes was apparent across all transcriptomic subtypes (HR range, 0.48-0.68). There was significant co-occurrence of RB loss and HRR gene aberrations; RB loss was further associated with favorable survival within HRR-aberrant cases (multivariable HR, 0.50). CONCLUSIONS: These data paint a high-resolution picture of the molecular landscape in HGSOC, better defining patients who may benefit most from specific molecular therapeutics and highlighting those for whom novel treatment strategies are needed to improve outcomes.

Scoring Systems of Peritoneal Dissemination for the Prediction of Operative Completeness in Advanced Ovarian Cancer.

BACKGROUND/AIM: We investigated the predictive value of scoring systems of peritoneal disseminations for complete surgery (CS) at primary debulking surgery (PDS) in advanced ovarian cancer. PATIENTS AND METHODS: We retrospectively enrolled eligible patients with clinical stages III or IVA selected for PDS from January 2015 to December 2019. Concern variables were predictive index value (PIV) and peritoneal cancer index (PCI) from operative and pathological reports. Primary endpoints were cutoffs to predict operative completeness using the receiver operating characteristic curve. RESULTS: Among 111 patients, PIV ≥8 and PCI ≥13 were the best predictors of incomplete PDS, including optimal and suboptimal surgeries (AUC=0.821 and 0.855, respectively). CS rates in PIV ≤6 and PCI ≤12 were significantly higher than in PIV ≥8 (89.3% vs. 47.2%; p<0.05) and PCI ≥13 (90.9% vs. 41.2%: p<0.05). CONCLUSION: PIV and PCI are potential predictors for CS at PDS.

Clinical Availability of Tumour Biopsy Using Diagnostic Laparoscopy for Advanced Ovarian Cancer.

BACKGROUND/AIM: Tumour biopsy using laparoscopy before neoadjuvant chemotherapy for advanced ovarian cancer has been widely accepted. However, there are few reports about its operative outcome compared to biopsy with laparotomy. We investigated the advantage of laparoscopic biopsy for advanced ovarian cancer. PATIENTS AND METHODS: We included 23 patients who underwent laparoscopy and 27 who underwent exploratory laparotomy before neoadjuvant chemotherapy between January 2012 and August 2020. We reviewed their medical records and evaluated their operative outcomes. RESULTS: Blood loss was significantly lower in the laparoscopy group (5 ml vs. 320 ml, p<0.05). The period until the initiation of neoadjuvant chemotherapy was significantly shorter in the laparoscopy group (12 days vs. 16 days, p<0.05). Overall survival did not differ significantly between the two groups (25.4 months vs. 24.7 months, p=0.53). CONCLUSION: Laparoscopic tumour biopsy is useful and safe for histological diagnosis, thereby allowing for early introduction to neoadjuvant chemotherapy.

A multi-ethnic analysis of immune-related gene expression signatures in patients with ovarian clear cell carcinoma.

Little is known about the immune environment of ovarian clear cell carcinoma (OCCC) and its impact on various ethnic backgrounds. The aim of this OCCC immune-related gene expression signatures (irGES) study was to address the interaction between tumour and immune environment of ethnically-diverse Asian and Caucasian populations and to identify relevant molecular subsets of biological and clinical importance. Our study included 264 women from three different countries (Singapore, Japan, and the UK) and identified four novel immune subtypes (PD1-high, CTLA4-high, antigen-presentation, and pro-angiogenic subtype) with differentially expressed pathways, and gene ontologies using the NanoString nCounter PanCancer Immune Profiling Panel. The PD1-high and CTLA4-high subtypes demonstrated significantly higher PD1, PDL1, and CTLA4 expression, and were associated with poorer clinical outcomes. Mismatch repair (MMR) protein expression, assessed by immunohistochemistry, revealed that about 5% of OCCCs had deficient MMR expression. The prevalence was similar across the three countries and appeared to cluster in the CTLA4-high subtype. Our results suggest that OCCC from women of Asian and Caucasian descent shares significant clinical and molecular similarities. To our knowledge, our study is the first study to include both Asian and Caucasian women with OCCC and helps to shine light on the impact of ethnic differences on the immune microenvironment of OCCC. © 2021 The Authors. The Journal of Pathology published by John Wiley & Sons, Ltd. on behalf of The Pathological Society of Great Britain and Ireland.

Interleukin-6 as an enhancer of anti-angiogenic therapy for ovarian clear cell carcinoma.

Ovarian clear cell carcinoma (OCCC) is a subtype of epithelial ovarian cancer (EOC) that is associated with elevated interleukin-6 (IL-6) expression, resistance to chemotherapy, and increased mortality. Although bevacizumab (Bev) is a widely used anti-angiogenic agent for EOC, the efficacy of Bev and the role of IL-6 in modulating angiogenesis in OCCC are unknown. We performed tube formation assays using human umbilical vein endothelial cells (HUVEC) cultured in OCCC cell-conditioned medium and using cells directly co-cultured with OCCC cells. We observed that IL-6 inhibition significantly mitigated the ability of Bev to impede tube formation in both cases. Furthermore, IL-6 blockade disrupted the anti-angiogenic efficacy of Bev and its concomitant anti-tumor activity. In addition, IL-6 inhibition resulted in a significant increase in angiopoietin-1 (Ang1) secretion and decreased vascular endothelial growth factor (VEGF) expression. Clinical specimens also exhibited this reciprocal relationship between IL-6 and Ang1 expression. Finally, depletion of Ang1 abrogated the effects of IL-6 inhibition on Bev activity, demonstrating that IL-6 supports the anti-angiogenic activity of Bev by suppressing Ang1 expression and promoting dependence on VEGF for angiogenesis. Altogether, our data suggest that OCCC tumors with high IL-6 levels are candidates for Bev therapy.

Re-thinking the prognostic significance of positive peritoneal cytology in endometrial cancer.

BACKGROUND: Whether abnormal peritoneal cytology (PC) is an independent prognostic factor in endometrial cancer (EC) remains controversial. This study aimed to re-think the prognostic significance of PC in not only all EC patients but also in various subgroups with similar clinicopathological and biological characteristics. METHODS: EC patients who underwent primary surgery of at least a hysterectomy and were pathologically diagnosed with EC in four hospitals affiliated with the Jikei University School of Medicine were retrospectively reviewed. The prognostic significance of PC was evaluated with univariate and multivariate analyses in the entire cohort and subgroups stratified by surgical stages (early/advanced stages), tumor types (types 1/2), and risk classifications (low/intermediate/high). RESULTS: Of 1963 EC cases, 1616 met the inclusion criteria. Positive PC was identified as an adverse prognostic factor in analyses of all EC cases and in all subgroup analyses stratified by surgical stages and tumor types. In survival curve comparisons, the progression-free survival (PFS) and disease-specific survival in early-stage patients with positive PC were clearly located between those of stage II patients with negative PC and stage III patients. In the subgroup analyses stratified by risk classification in early-stage EC, positive PC was related to poorer PFS in the intermediate- and high-risk groups but not in the low-risk group. CONCLUSION: PC status was an independent prognostic factor of EC in all stages and tumor types. Early PC-positive cases, except for the low-risk group, may be recommended for upstaging and should be carefully managed compared with PC-negative cases.

Clear cell carcinoma of the ovary: a clinical and molecular perspective.

Clear cell carcinoma of the ovary has distinct biology and clinical behavior. There are significant geographical and racial differences in the incidence of clear cell carcinoma compared with other epithelial ovarian tumors. Patients with clear cell carcinoma are younger, tend to present at an early stage, and their tumors are commonly associated with endometriosis, which is widely accepted as a direct precursor of clear cell carcinoma and has been identified pathologically in approximately 50% of clear cell carcinoma cases. The most frequent and important specific gene alterations in clear cell carcinoma are mutations of AT-rich interaction domain 1A (ARID1A) (~50% of cases) and phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) (~50% cases). More broadly, subgroups of clear cell carcinoma have been identified based on C-APOBEC (apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like) and C-AGE (age-related) mutational signatures. Gene expression profiling shows upregulation of hepatocyte nuclear factor 1-beta (HNF1ß) and oxidative stress-related genes, and has identified epithelial-like and mesenchymal-like tumor subgroups. Although the benefit of platinum-based chemotherapy is not clearly defined it remains the mainstay of first-line therapy. Patients with early-stage disease have a favorable clinical outcome but the prognosis of patients with advanced-stage or recurrent disease is poor. Alternative treatment strategies are required to improve patient outcome and the development of targeted therapies based on molecular characteristics is a promising approach. Improved specificity of the histological definition of this tumor type is helping these efforts but, due to the rarity of clear cell carcinoma, international collaboration will be essential to design appropriately powered, large-scale clinical trials.

Correlation of World Health Organization 2010 Classification for Gastroenteropancreatic Neuroendocrine Neoplasms with the Prognosis of Ovarian Neuroendocrine Neoplasms: Kansai Clinical Oncology Group-Protocol Review Committee/Intergroup Study.

BACKGROUND: In 2014, the World Health Organization (WHO) released a classification system introducing neuroendocrine neoplasms (NENs) of the female reproductive tract, excluding the ovaries. This study aimed to evaluate whether retrospective adaption of the gastroenteropancreatic (GEP)-NEN classification is feasible for ovarian NENs (O-NENs) and correlates with prognosis. METHODS: Sixty-eight patients diagnosed with carcinoid, small cell carcinoma (pulmonary type), paraganglioma, non-small/large cell neuroendocrine carcinoma (NEC), mixed NEC, or undifferentiated carcinomas at 20 institutions in Japan were included in this retrospective cross-sectional study. We identified O-NENs through central pathological review using a common slide set, followed by reclassification according to WHO 2010 guidelines for GEP-NENs. A proportional hazards model was used to assess the association of prognostic factors (age, stage, performance status, histology, and residual disease) with overall survival (OS) and progression-free survival (PFS). RESULTS: Of the 68 enrolled patients, 48 were eligible for analysis. All carcinoids (n = 32) were reclassified as NET G1/G2, whereas 14 of 16 carcinomas were reclassified as NEC/mixed adeno-NEC (MANEC) (Fisher's exact test; p < 0.01). The OS/PFS was 49.0/42.5 months and 6.5/3.9 months for NET G1/G2 and NEC/MANEC, respectively. Histology revealed that NEC/MANEC was associated with increased risk of death (HR = 48.0; 95% CI, 3.93-586; p < 0.01) and disease progression (HR = 51.6; 95% CI, 5.54-480; p < 0.01). CONCLUSION: Retrospective adaption of GEP-NEN classification to O-NENs is feasible and correlates well with the prognosis of O-NENs. This classification could be introduced for ovarian tumors.

Analysis of risk factors for patients with early-stage cervical cancer: A study of 374 patients.

AIM: This study aimed to identify the postoperative histological features affecting the prognosis of patients with early-stage cervical cancer who underwent open radical hysterectomy. METHODS: This retrospective study enrolled 374 patients with pT1a, 1b1 and 2a1 early-stage cervical cancer who underwent open radical hysterectomy between 2001 and 2018. Survival outcomes were analyzed by Kaplan-Meier method and compared with log-rank test. Using the Cox proportional hazards regression test, we conducted a multivariate analysis for disease-free survival and overall survival. RESULTS: Others histology, including other epithelial tumors and neuroendocrine tumors, had a significantly worse prognosis in both disease-free survival and overall survival than those of squamous cell carcinoma and adenocarcinoma (hazard ratio, 4.37 and 11.76; P = 0.006 and P = 0.002, respectively), along with lymph node metastasis (hazard ratio, 2.99 and 7.03; P = 0.009 and P = 0.001, respectively). CONCLUSION: Others histology including adenosquamous carcinoma had a poor prognosis in early-stage cervical cancer as with high-risk factors.

Molecular stratification of endometrioid ovarian carcinoma predicts clinical outcome.

Endometrioid ovarian carcinoma (EnOC) demonstrates substantial clinical and molecular heterogeneity. Here, we report whole exome sequencing of 112 EnOC cases following rigorous pathological assessment. We detect a high frequency of mutation in CTNNB1 (43%), PIK3CA (43%), ARID1A (36%), PTEN (29%), KRAS (26%), TP53 (26%) and SOX8 (19%), a recurrently-mutated gene previously unreported in EnOC. POLE and mismatch repair protein-encoding genes were mutated at lower frequency (6%, 18%) with significant co-occurrence. A molecular taxonomy is constructed, identifying clinically distinct EnOC subtypes: cases with TP53 mutation demonstrate greater genomic complexity, are commonly FIGO stage III/IV at diagnosis (48%), are frequently incompletely debulked (44%) and demonstrate inferior survival; conversely, cases with CTNNB1 mutation, which is mutually exclusive with TP53 mutation, demonstrate low genomic complexity and excellent clinical outcome, and are predominantly stage I/II at diagnosis (89%) and completely resected (87%). Moreover, we identify the WNT, MAPK/RAS and PI3K pathways as good candidate targets for molecular therapeutics in EnOC.

Neoadjuvant Chemotherapy for Patients With Diaphragmatic Lesions: A Prognostic Postoperative Analysis.

BACKGROUND/AIM: We aimed to analyse the prognosis of patients who underwent primary debulking surgery (PDS) and those who underwent interval debulking surgery (IDS) following four courses of paclitaxel+ carboplatin as preoperative chemotherapy to examine the usefulness of preoperative chemotherapy. PATIENTS AND METHODS: We included 45 patients with epithelial ovarian and peritoneal cancers accompanied with diaphragmatic lesions who underwent standard surgery combined with diaphragmatic surgery at two related institutions in January 2010-December 2013. Using medical records, we surveyed the recurrence period, recurrence site, and date of last confirmed survival, and analysed prognosis. RESULTS: The PDS and IDS groups comprised 32 and 13 patients (overall survival, 61.2 and 43.2 months), respectively. Progression-free survival in the PDS and IDS groups was 31.2 and 16.8 months, respectively. CONCLUSION: NAC-IDS can be a standard treatment option for patients with a tumour in the triangular ligament, in whom complete surgery is difficult.

A simple method of quantifying chemotherapy-induced peripheral neuropathy using PainVision PS-2100®.

AIM: This study aimed to validate a simplified method of quantifying chemotherapy-induced peripheral neuropathy using the PainVision PS-2100® (PV) electrical perception system. METHODS: We assessed patients diagnosed with epithelial ovarian cancer, fallopian tube cancer, or peritoneal cancer and were about to undergo first-time paclitaxel and carboplatin chemotherapy. Peripheral neuropathy was assessed before and after chemotherapy administration in all patients according to the National Cancer Institute-Common Terminology Criteria for Adverse Events Version 4.0 (NCI-CTCAE4.0), using a conventional assessment in combination with the PV system. The PV device comprises electrodes attached to the ulnar side of the forearm and the first joint of index fingers on both the left and right sides to measure the electrical perceptual threshold. The average of three threshold measurements was recorded for each patient. RESULTS: Thirty female patients (age 51.6 ± 12.2 [mean ± SD]) were included, and median number of chemotherapy drug treatments was 5 (first quartile: 4, second quartile: 5, and third quartile: 5). Twenty-seven patients (90%) reported posttreatment numbness; NCI-CTCAE4.0 perceptual anomaly grades were as follows: G1, 57 (40%); G2, 19 (13%); and G3, 7 (5%). A positive correlation was identified between right medial side PV threshold score and perceptual anomaly grade on measurements of the inner right-hand side only. CONCLUSION: Our preliminary results suggest that peripheral neuropathy may be quantified using PV. As CIPN often lowers QOL, it needs to be appropriately evaluated. Future studies with a larger patient cohort and methodological refinements to improve accuracy are warranted.

Hormone receptor expression patterns define clinically meaningful subgroups of endometrioid ovarian carcinoma.

BACKGROUND: Numerous studies have investigated the association between hormone receptor expression and clinical outcome in ovarian carcinoma (OC); however, these have largely focussed on serous OCs, with few studies reporting specifically on endometrioid OCs (EnOC). Where analyses have been stratified by histotype, expression has been assessed using the percentage of positive tumor cells, without accounting for nuclear expression intensity. METHODS: Here we assess the expression levels of progesterone receptor (PR), estrogen receptor alpha (ER) and androgen receptor (AR) using histoscore - a nuclear scoring method incorporating both proportion of positive cells and the intensity of nuclear staining - across a cohort of 107 WT1 negative EnOCs. RESULTS: Hierarchical clustering by PR, ER and AR histoscores identified four EnOC subgroups (PR+/ER+, PR+/ER-, PR-/ER+ and PR-/ER-). EnOC patients in the PR+/ER+ and PR+/ER- groups displayed favorable outcome (multivariable HR for disease-specific survival 0.05 [0.01-0.35] and 0.05 [0.00-0.51]) compared to the PR-/ER+ group. Ten-year survival for stage II PRhigh and PRlow cases was 94.1% and 42.4%. ERhigh EnOC patients (PR+/ER+, PR-/ER+) had higher body mass index compared to ERlow cases (P = 0.015) and high grade serous OC patients (P < 0.001). CONCLUSION: These data demonstrate that endometrioid OC cases with high PR expression display markedly favorable outcome. Stage II EnOCs with high PR expression represent potential candidates for de-escalation of first-line therapy. Future work should seek to characterise the sensitivity of PR and ER positive EnOCs to endocrine therapy.

Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers.

PURPOSE: We aimed to develop an ovarian cancer-specific predictive framework for clinical stage, histotype, residual tumor burden, and prognosis using machine learning methods based on multiple biomarkers. EXPERIMENTAL DESIGN: Overall, 334 patients with epithelial ovarian cancer (EOC) and 101 patients with benign ovarian tumors were randomly assigned to "training" and "test" cohorts. Seven supervised machine learning classifiers, including Gradient Boosting Machine (GBM), Support Vector Machine, Random Forest (RF), Conditional RF (CRF), Naïve Bayes, Neural Network, and Elastic Net, were used to derive diagnostic and prognostic information from 32 parameters commonly available from pretreatment peripheral blood tests and age. RESULTS: Machine learning techniques were superior to conventional regression-based analyses in predicting multiple clinical parameters pertaining to EOC. Ensemble methods combining weak decision trees, such as GBM, RF, and CRF, showed the best performance in EOC prediction. The values for the highest accuracy and area under the ROC curve (AUC) for segregating EOC from benign ovarian tumors with RF were 92.4% and 0.968, respectively. The highest accuracy and AUC for predicting clinical stages with RF were 69.0% and 0.760, respectively. High-grade serous and mucinous histotypes of EOC could be preoperatively predicted with RF. An ordinal RF classifier could distinguish complete resection from others. Unsupervised clustering analysis identified subgroups among early-stage EOC patients with significantly worse survival. CONCLUSIONS: Machine learning systems can provide critical diagnostic and prognostic prediction for patients with EOC before initial intervention, and the use of predictive algorithms may facilitate personalized treatment options through pretreatment stratification of patients.

PIK3CA and KRAS mutations in cell free circulating DNA are useful markers for monitoring ovarian clear cell carcinoma.

Ovarian clear cell carcinoma (OCCC) exhibits distinct phenotypes, such as resistance to chemotherapy, poor prognosis and an association with endometriosis. Biomarkers and imaging techniques currently in use are not sufficient for reliable diagnosis of this tumor or prediction of therapeutic response. It has recently been reported that analysis of somatic mutations in cell-free circulating DNA (cfDNA) released from tumor tissues can be useful for tumor diagnosis. In the present study, we attempted to detect mutations in PIK3CA and KRAS in cfDNA from OCCC patients using droplet digital PCR (ddPCR). Here we show that we were able to specifically detect PIK3CA-H1047R and KRAS-G12D in cfDNA from OCCC patients and monitor their response to therapy. Furthermore, we found that by cleaving wild-type PIK3CA using the CRISPR/Cas9 system, we were able to improve the sensitivity of the ddPCR method and detect cfDNA harboring PIK3CA-H1047R. Our results suggest that detection of mutations in cfDNA by ddPCR would be useful for the diagnosis of OCCC, and for predicting its recurrence.

Dedifferentiated endometrial carcinoma: A report of three cases and review of the literature.

Dedifferentiated endometrial carcinoma, which is defined microscopically as the co-existence of undifferentiated carcinoma and grade 1 or 2 endometrioid adenocarcinoma, is an aggressive type of cancer regardless of the percentage of undifferentiated components. It is reported that undifferentiated carcinoma comprises 9% of endometrial carcinoma. The percentage of dedifferentiated endometrial carcinoma has been hypothesized to be 40% of undifferentiated carcinoma. A precise pathological diagnosis is essential for defining the appropriate therapeutic approach and prognosis. Furthermore, since there is an association between dedifferentiated endometrial carcinoma and Lynch syndrome, it is important to identify the patient's genetic background. The current case report presents three cases of dedifferentiated endometrial carcinoma treated in our hospital. In immunohistochemical staining for DNA mismatch-repair (MMR) proteins in dedifferentiated endometrial carcinoma, the components of undifferentiated carcinoma demonstrated a loss of MMR protein expression, and it is suspected that there may be a germline mutation in these cases. Therefore, Lynch syndrome should be suspected and the appropriate genetic approaches in cases of dedifferentiated endometrial carcinoma should be considered.

Prognostic impact of interleukin-6 expression in stage I ovarian clear cell carcinoma.

OBJECTIVE: Ovarian clear cell carcinoma (OCCC) frequently presents at an early stage. In stage I OCCC, the prognosis differs according to substage. In particular, predictive biomarkers and new treatment strategies are needed for stage IC2/IC3 disease. We investigated tumor biology and prognostic factors for stage I OCCC from a clinicopathological perspective, including the expression of ARID1A and IL-6, which are considered critical for OCCC carcinogenesis. METHODS: A retrospective cohort study of 192 patients with stage I OCCC treated at a single institution was performed. We calculated overall survival (OS) with respect to 12 clinicopathological parameters that included the unique and diverse histological features of OCCC. RESULTS: The estimated 5-year OS rate in patients with all stage I OCCC was 88.9% during a median of 91months of follow-up. The multivariate analysis indicated that substage classification and IL-6 expression status were associated with poor OS (p=0.010 and p=0.027, respectively). Loss of ARID1A expression had no impact on survival; however, it was associated with substage (p=0.001), capsule rupture status (p=0.011), and ascites cytology (p=0.016). No clear association was found between ARID1A and IL-6 expressions. Histological findings, including the presence of endometriosis, adenofibroma, architectural pattern, and tumor cell type, showed no prognostic effects. CONCLUSIONS: Both substage classification and IL-6 expression status may be independent prognostic factors in stage I OCCC. Therefore, IL-6 molecular stratification may be crucial in optimizing therapeutic strategies for early stage OCCC to improve survival.

Clinical and genetic analysis of recurrent adult-type granulosa cell tumor of the ovary: Persistent preservation of heterozygous c.402C>G FOXL2 mutation.

BACKGROUND: Adult-type granulosa cell tumors of the ovary (aGCTs) are rare tumors that represent 2-5% of ovarian malignancies. The prognosis of this tumor is favorable, and it is characterized by slow progression. 10-30% of these tumors recur after 4-7 years of the primary surgery and the 5-year survival rate from the first recurrence is 55%, for the incompletely resected patients. At this time, complete resection is the only prognostic factor for better outcome, and establishing a novel strategy for identification and/or treatment of recurrent tumors is crucial. After the discovery of heterozygous c.402C>G FOXL2 mutations in 97% of cases of aGCT, much effort has been made to find the role of the mutation on the pathogenesis of aGCT, however, little is known about the role of the mutation in disease progression. METHODS: We analyzed the clinical data of 56 aGCT patients to find a marker of recurrence. In particular, we compared the FOXL2 status in 5 matched primary and recurrent samples by immunohistochemistry, and TaqMan allelic discrimination assay to address the role of FOXL2 in potential mechanisms of recurrence. RESULTS: The clinical data analysis was consistent with complete resection as an indicator of disease eradication, though the sample size was limited. The genetic analysis showed all the samples, including recurrent tumor samples up to 14 years after the primary surgery, expressed heterozygous c.402C>G FOXL2 mutation and the FOXL2 protein expression. CONCLUSION: This report describes the preservation of heterozygous c.402C>G FOXL2 mutation in recurrent aGCTs. This finding adds further credence to the concept that the c.402C>G FOXL2 mutation is oncogenic and integral to this disease.