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Aims: Decreased oestrogen receptor (ER) expression is a marker of poor prognosis in endometrial carcinomas (EC) of no specific molecular profile (NSMP), but the optimal cut‐off to separate high‐risk 'low ER' versus low‐risk 'high ER' expression has not been defined. Here we characterised the distribution of ER staining in a cohort of ECs. Methods and results: Biopsy specimens from 120 cases of NSMP EC were stained for ER and assigned an Allred score. In 66 additional cases ER staining of matched biopsy and hysterectomy were compared. Twelve of 120 tumours had an Allred score of 0–3, including three endometrioid carcinomas (EEA) (one G1, two G3), four clear cell carcinomas (CCC), two mesonephric‐like adenocarcinoma (MLA) and one each of: gastric‐type adenocarcinoma, carcinosarcoma and endometrial carcinoma NOS. Three had Allred scores of 4–5: two MLA and one high‐grade carcinoma with yolk sac differentiation. Five had Allred scores of 6: four EEA (one G1, one G2, two G3) and one mixed clear cell and endometrioid carcinoma. The remaining 100 tumours with Allred scores ≥ 7 were all EEA (66 G1, 28 G2, five G3 and one grade unknown). Comparing the biopsy versus hysterectomy ER staining (n = 66), the results were within a single Allred score point, except two cases with strong diffuse expression in the biopsy (Allred 8) and moderate expression in the hysterectomy (Allred 5). Conclusions: Most NSMP ECs (> 80%) show high ER expression (Allred score ≥ 7). All non‐endometrioid carcinomas and a few endometrioid carcinomas had lower ER expression (Allred score ≤ 6) or were completely negative. [ABSTRACT FROM AUTHOR]

Endometrial cancer (EC) has four molecular subtypes with strong prognostic value and therapeutic implications. The most common subtype (NSMP; No Specific Molecular Profile) is assigned after exclusion of the defining features of the other three molecular subtypes and includes patients with heterogeneous clinical outcomes. In this study, we employ artificial intelligence (AI)-powered histopathology image analysis to differentiate between p53abn and NSMP EC subtypes and consequently identify a sub-group of NSMP EC patients that has markedly inferior progression-free and disease-specific survival (termed 'p53abn-like NSMP'), in a discovery cohort of 368 patients and two independent validation cohorts of 290 and 614 from other centers. Shallow whole genome sequencing reveals a higher burden of copy number abnormalities in the 'p53abn-like NSMP' group compared to NSMP, suggesting that this group is biologically distinct compared to other NSMP ECs. Our work demonstrates the power of AI to detect prognostically different and otherwise unrecognizable subsets of EC where conventional and standard molecular or pathologic criteria fall short, refining image-based tumor classification. This study's findings are applicable exclusively to females. Endometrial cancer (EC) has four molecular subtypes; of these, the No Specific Molecular Profile (NSMP) subtype encompasses patients with heterogeneous outcomes. Here, the authors use artificial intelligence and histopathology images to differentiate p53abn and NSMP subtypes in EC, and identify one distinct subgroup within NSMP with unfavourable outcome. [ABSTRACT FROM AUTHOR]

Background Methods Results Conclusions Professional guidelines recommend molecular profiling for mismatch repair (MMR), p53, and polymerase epsilon (POLE) status in endometrial cancer (EC). However, adoption in the United States has not been documented, and barriers to the implementation of testing have not been described.In this mixed‐methods study, implementation science frameworks were used to develop a quantitative survey. Gynecologic oncologists, medical oncologists, radiation oncologists, and pathologists affiliated with NRG Oncology programs were contacted through snowball sampling and were surveyed during 2022–2023. A subset of respondents was interviewed. Statistical and thematic analyses were performed.At least 403 NRG Oncology‐affiliated providers were contacted for the survey, and 107 (26.6%) responded. Greater than 90% of respondents perceived POLE, MMR, and p53 status as important for clinical care. MMR and p53 tests were perceived as easy to obtain, but only 24.2% of respondents reported that POLE testing was moderately or very easy to obtain. Respondents from academic sites reported better access to molecular classification and perceived greater importance of molecular classification compared with respondents from community sites. In thematic analysis of 13 qualitative interviews, cost concerns were reported as large barriers to testing. Interviewees reported a desire for prospective data to guide treatment selection based on classification results.Although integrating molecular classification into standard pathologic reporting is recommended, and clinicians perceive molecular profiling in early stage EC as important, survey respondents noted significant implementation barriers. Implementation challenges that differ between community oncology and academic practice settings were identified. Strategies to improve equitable access to molecular classification of early stage EC are needed. [ABSTRACT FROM AUTHOR]

Objective: Biomarkers reflecting real-time response to therapy and recurrence are lacking. We assessed the clinical value of detecting cell-free circulating tumor DNA (ctDNA) mutations in endometrial cancer (EC) and ovarian cancer (OC) patients., Methods: EC/OC patients undergoing primary surgery were consented for tissue banking and 2-year serial blood draws. Tumor tissue DNA and plasma ctDNA underwent next generation sequencing using a targeted gene panel to identify somatic mutations., Results: Of 44 patients (24 EC, 17 OC, 2 synchronous endometrial and ovarian carcinomas [SEOC] and 1 endocervical adenocarcinoma [EA]) at least one somatic mutation was identified in tumor tissue in 40 (91%, 20/24 EC, all OC/SEOC/EA), and in preoperative plasma ctDNA in 12 (27%) patients (6/24 [25%] EC and 6/17 [35%] OC). Detection of preoperative ctDNA mutations was associated with advanced stage, higher preoperative CA125, and disease recurrence. In 5/12 (42%) patients with preoperative ctDNA mutations, examination/imaging suggested clinical stage I however final pathology revealed stage II/III. In 11 patients where serial timepoints were assessed during treatment for ctDNA and CA125, ctDNA clearance preceded normalization of CA125. Thirteen patients developed recurrent disease (4 EC, 8 OC, 1 EA); 8 in whom ctDNA mutations were detected postoperatively, and 4 followed through time of recurrence with ctDNA mutations identified 2-5 months prior to clinical/radiologic/biomarker progression in 3., Conclusion: ctDNA can reflect larger tumor volume/metastases, treatment response and recurrence in EC and OC. Careful patient selection is critical to direct resources to patients most likely to benefit, considering disease burden and risk group., Competing Interests: M McConechy and T Dowhy are previous employees of Imagia Canexia Health and D Huntsman is a previous founder and Chief Medical Officer of Imagia Canexia Health. The other authors have nothing to disclose., (© 2024. Asian Society of Gynecologic Oncology, Korean Society of Gynecologic Oncology, and Japan Society of Gynecologic Oncology.)