Objectives/Goals: Endometrial cancer is one of the few cancers that has both a rising incidence and mortality rate. Molecular classification is becoming more important for the management of endometrial cancer but the ability to translate this into clinical practice remains constrained. Our goal is to use AI to predict the molecular subtype from histopathology slides. Methods/Study Population: We utilized the open source endometrial cancer datasets from The Cancer Genome Atlas (TCGA) (N = 387) and Cancer Proteomics Transcriptomic Tumor Analysis Consortium (CPTAC) (N = 135) to develop and train a vision transformer AI model. We used a proprietary cohort of patients (N = 548) for external validation. Whole slide images (WSI) and molecular subtype data were collected. Subtypes include POLE ultramutated (POLE), microsatellite instability (MSI-H), copy-number low (CNV-L), and copy-number high (CNV-H). WSI were preprocessed, and features were extracted. Modified STAMP protocol was used in training, utilizing a pretrained foundation transformer model (Virchow2). Cross-validation of the TCGA was used for initial training, followed by testing on the CPTAC dataset and validation on our proprietary cohort. Results/Anticipated Results: Fivefold cross-validation of the TCGA database (60% training, 20% testing, and 20% validation) developed a best overall model with a mean AUC of 0.74 (POLE 0.78, MSI-H 0.76, CNV-H 0.86, CNV-L 0.77). Overall precision 0.58, recall 0.55. CNV-H was the subtype with the most accurate prediction. CPTAC holdout testing revealed moderately high AUC (POLE 0.63, MSI-H 0.62, CNV-H 0.98, and CNV-L 0.76). Overall precision 0.54 and recall 0.58. Again, CNV-H was the most accurate prediction. Validation on our proprietary cohort revealed a drop in performance with overall mixed results by AUC (POLE 0.50, MSI-H 0.69, CNV-H 0.78, and CNV-L 0.61). Overall precision 0.57, recall 0.45. Again, CNV-H with the most accurate prediction but F1 score dropped from 0.77 in the CPTAC to 0.47 on validation. POLE was the least accurate prediction subtype. Discussion/Significance of Impact: The CNV-H subtype demonstrated robust performance, suggesting the model effectively captures the features associated with this subtype. CNV-L had moderate performance. MSI-H and POLE were notably lower. WSI-based AI models show translational potential for subtype prediction in the management of endometrial cancer but more work is necessary.

Context Social media (SM) use in pathology and medicine today is widespread, receives active advocacy, and is said to bring a host of benefits. In latter days, the harmful effects of SM have received attention, but they have yet been followed by greater encouragement of professionalized SM usage. SM use in medicine has seen adoption in parallel to its general ascendancy, even though the platforms are products with purposes misaligned with the practice of medicine. Objective To (1) characterize premises and forces that propel professional SM platform adoption and use, and (2) examine wide-ranging literature, both medical and nonmedical, that substantiates the premises and to find counteracting perspectives and evidence. Data Sources Review of the literature using relevant keyword searches in PubMed, Google Scholar, Dimensions, and Web of Science for articles that study/describe professional SM use in pathology and medicine. Additionally, we examined business, technology, and social sciences literature and high-quality gray literature (newspapers, books, blogs) that addressed questions in relation to the topic of professional SM adoption. Conclusions We identified 6 major premises as motivators of professional SM use and highlight significant counteracting factors. We conclude that the harms of professionalized SM use have not been fully considered in the medical literature and that a change in direction and the creation of new communication platforms would be beneficial.

Epithelial ovarian neoplasms are commonly observed in older patients, while germ cell tumors (GCTs) typically present in young individuals. When GCTs are detected in patients over 35 yrs old, they often have an associated epithelial component, a phenomenon known as somatically derived GCTs. We report a unique case of mixed GCT involving bilateral ovaries with a background of high-grade serous carcinoma, including a yolk sac tumor and choriocarcinoma in the mixed GCT component. Somatically derived GCTs are rare with only 45 cases of ovarian carcinoma with somatic yolk sac tumor reported to date. Pathologists face diagnostic challenges in identifying somatically derived GCTs, as they can mimic high-grade epithelial neoplasms. Somatically derived GCTs have poor outcomes, therefore, precise diagnosis is crucial for prognostic and therapeutic considerations.

PURPOSE:The status of p53 in a tumor can be inferred by next-generation sequencing (NGS) or by immunohistochemistry (IHC). We examined the association between p53 IHC and sequence and whether p53 IHC alone, or integrated with TP53 NGS, predicts the outcome.METHODS:From GOG-86P, a randomized phase II study of chemotherapy combined with either bevacizumab or temsirolimus in advanced endometrial cancer, 213 cases had p53 protein expression data measured by IHC and TP53 NGS data. An analysis was designed to integrate p53 expression by IHC with the presence or absence of a TP53 mutation. These variables were further correlated with progression-free survival (PFS) and overall survival (OS) in the chemotherapy plus bevacizumab arms versus the chemotherapy plus temsirolimus arm.RESULTS:In the analysis of p53 IHC, the most striking treatment effect favoring bevacizumab was in cases where p53 was overexpressed (PFS hazard ratio [HR]: 0.46, 95% CI, 0.26 to 0.88; OS HR: 0.31, 95% CI, 0.16 to 0.62). On integrated analysis, patients with TP53 missense mutations and p53 protein overexpression had a similar treatment effect on PFS (HR: 0.41, 95% CI, 0.22 to 0.83) and OS (HR: 0.28, 95% CI, 0.14 to 0.59) favoring bevacizumab plus chemotherapy relative to temsirolimus plus chemotherapy. Concordance between TP53 NGS and p53 IHC was 88%. Concordance was 92% when cases with TP53 mutations and POLE mutations or mismatch repair deficiency were removed.CONCLUSION:IHC for p53 alone or when integrated with sequencing for TP53 identifies a specific, high-risk tumor genotype/phenotype for which bevacizumab is particularly beneficial in improving outcomes when combined with chemotherapy.

Background:An electronic intradepartmental consultation system for anatomic pathology (AP) was conceived and developed in the laboratory information system (LIS) in 2019. Previously, all surgical pathology intradepartmental consultative activities were initiated and documented with paper forms which circulated with the pertinent microscopic slides and were eventually filed. In this study, we discuss the implementation and utilization of an electronic intradepartmental AP consultation system.Methods:Workflows and procedures were developed to organize intradepartmental surgical pathology consultations from the beginning to the end point of the consultative activities entirely using a paperless system that resided in the LIS.Results:The electronic consult system allowed electronic documentation of all steps of intradepartmental consultative activities. The system provided tracking ability for consulted cases and improved access to consult discussion for all departmental personnel, staff, and trainees. Consultation work queue was created for each pathologist and a summary of individual consultative workload was possible. Documentation of anatomic pathology quality assurance for intradepartmental consultative activity was easily assessed.Conclusions:The electronic intradepartmental consult system has allowed our department to electronically track intradepartmental consult cases, store the consultative opinion text with the case, record the pathologists involved, and document the consultation for internal quality assurance review as well as for accrediting organizations. Summarization of pathologist workload related to consultative activity was quantifiable and optimization of the consultative process was maximized for education in an academic setting.

PURPOSE:This surgical window of opportunity (window) study assessed the short-term effect of medroxyprogesterone acetate (MPA) alone versus MPA plus the histone deacetylase (HDAC) inhibitor entinostat on regulation of progesterone receptor (PR) in women with newly diagnosed endometrioid endometrial adenocarcinoma. PATIENTS AND METHODS:This multisite, randomized, open-label surgical window study treated women intramuscularly on day 1 with 400 mg MPA. Entinostat given 5 mg by mouth on days 1, 8, and 15 was randomly assigned with equal probability. Surgery followed on days 21-24. Pretreatment and posttreatment tissue was assessed for PR H-scores, Ki-67 levels, and histologic response. RESULTS:Fifty patients were accrued in 4 months; 22 and 20 participants had PR evaluable pretreatment and posttreatment slides in the MPA and MPA/entinostat arms, respectively. Median posttreatment PR H-scores were significantly lower than pretreatment H-scores in both arms but did not differ significantly (MPA: 247 vs. 27, MPA/entinostat 260 vs. 23, respectively, P = 0.87). Decreased Ki-67 was shown in 90% treated with MPA/entinostat compared with 68% treated with MPA alone (P = 0.13). Median PR H-score decreases were larger when Ki-67 was decreased (208) versus not decreased (45). The decrease in PR pretreatment versus posttreatment was associated with loss of Ki-67 nuclear staining, consistent with reduced cellular proliferation (P < 0.008). CONCLUSIONS:This surgical window trial rapidly accrued in a multisite setting and evaluated PR as its primary endpoint and Ki-67 as secondary endpoint. Despite no immediate effect of entinostat on PR in this short-term study, lessons learned can inform future window and treatment trials.

Objectives: The ongoing global severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic necessitates adaptations in the practice of surgical pathology at scale. Primary diagnosis by whole-slide imaging (WSI) is a key component that would aid departments in providing uninterrupted histopathology diagnosis and maintaining revenue streams from disruption We sought to perform rapid validation of the use of WSI in primary diagnosis meeting recommendations of the College of American Pathologists guidelines. Methods: Glass slides from clinically reported cases from 5 participating pathologists with a preset washout period were digitally scanned and reviewed in settings identical to typical reporting. Cases were classified as concordant or with minor or major disagreement with the original diagnosis. Randomized subsampling was performed, and mean concordance rates were calculated. Results: In total, 171 cases were included and distributed equally among participants. For the group as a whole, the mean concordance rate in sampled cases (n = 90) was 83.6% counting all discrepancies and 94.6% counting only major disagreements. The mean pathologist concordance rate in sampled cases (n = 18) ranged from 90.49% to 97%. Conclusions: We describe a novel double-blinded method for rapid validation of WSI for primary diagnosis. Our findings highlight the occurrence of a range of diagnostic reproducibility when deploying digital methods.

Objectives Composite frozen section turnaround time has limited value, precluding assessment of certain processes: slide preparation (technical) and diagnosis (interpretation). We examined whether measuring these elements could identify delays, hypothesizing that longer times were related to (1) inefficient technical processes and (2) case-specific diagnostic challenges. Methods Technical and interpretive times were determined for 1,992 specimens submitted for frozen section in 2017; the data were sorted by surgical specialty. Mean and quartile times were determined for each category with all specimens assessed equally, including those with multiple frozen section blocks. Results Technical times were significantly longer than interpretive times. Specialty grouping facilitated trend identification and enabled assessment of technical and interpretation challenges. We identified technical issues with certain gross specimens involving overdissection and interpretation delays for specific neoplasms and margins. Conclusions Measuring technical and interpretative times and subcategorizing by specialty has aided the assessment of frozen section processing in our laboratory, enabling case isolation for process improvement.

Recurrent GLI1 gene fusions have been recently described in a subset of soft tissue tumors showing a distinct monotonous epithelioid morphology with a rich capillary network and frequent S100 protein expression. Three different fusion partners-ACTB, MALAT1, and PTCH1-have been reported with the PTCH1-GLI1 fusion from 2 patients only, both with head and neck tumors. Herein, we report for the first time a PTCH1-GLI1 fusion in a primary ovarian tumor from a female patient aged 54 years who presented with a 21-cm right ovarian mass and mesenteric metastasis. The tumor was diagnosed as "favor malignant melanoma" based on histologic examination and extensive immunohistochemistry studies. The patient received 4 cycles of pembrolizumab and 2 cycles of trabectedin but developed multiple metastases. A next-generation sequencing-based assay detected a PTCH1-GLI1 fusion, which led to a revised pathologic diagnosis and a change of the patient's management. The patient was switched to the tyrosine kinase inhibitor (TKI) pazopanib to target the sonic hedgehog pathway. Her disease was stable 49 months post TKI therapy. Our case report is the first to show that a tumor with GLI1 oncogenic activation was sensitive to a TKI. The morphologic and immunohistochemistry similarities of our patient's tumor to other recently described tumors harboring GLI1 fusions suggest that these tumors may all belong to the same entity of GLI1 fusion-positive neoplasms and may be treated similarly.

Objectives: Composite frozen section turnaround time has limited value, precluding assessment of certain processes: slide preparation (technical) and diagnosis (interpretation). We examined whether measuring these elements could identify delays, hypothesizing that longer times were related to (1) inefficient technical processes and (2) case-specific diagnostic challenges. Methods: Technical and interpretive times were determined for 1,992 specimens submitted for frozen section in 2017; the data were sorted by surgical specialty. Mean and quartile times were determined for each category with all specimens assessed equally, including those with multiple frozen section blocks. Results: Technical times were significantly longer than interpretive times. Specialty grouping facilitated trend identification and enabled assessment of technical and interpretation challenges. We identified technical issues with certain gross specimens involving overdissection and interpretation delays for specific neoplasms and margins. Conclusions: Measuring technical and interpretative times and subcategorizing by specialty has aided the assessment of frozen section processing in our laboratory, enabling case isolation for process improvement.

Developing reliable experimental models that can predict clinical response before treating the patient is a high priority in gynecologic cancer research, especially in advanced or recurrent endometrial and ovarian cancers. Patient-derived organoids (PDOs) represent such an opportunity. Herein, we describe our successful creation of 43 tumor organoid cultures and nine adjacent normal tissue organoid cultures derived from patients with endometrial or ovarian cancer. From an initial set of 45 tumor tissues and seven ascites fluid samples harvested at surgery, 83% grew as organoids. Drug sensitivity testing and organoid cell viability assays were performed in 19 PDOs, a process that was accomplished within seven days of obtaining the initial surgical tumor sample. Sufficient numbers of cells were obtained to facilitate testing of the most commonly used agents for ovarian and endometrial cancer. The models reflected a range of sensitivity to platinum-containing chemotherapy as well as other relevant agents. One PDO from a patient treated prior to surgery with neoadjuvant trastuzumab successfully predicted the patient’s postoperative chemotherapy and trastuzumab resistance. In addition, the PDO drug sensitivity assay identified alternative treatment options that are currently used in the second-line setting. Our findings suggest that PDOs could be used as a preclinical platform for personalized cancer therapy for gynecologic cancer patients.

Abstract Introduction: NRG Study GY011 is a surgical window trial of medroxy-progesterone acetate (MPA) +/- entinostat (E), a histone deacetylase inhibitor hypothesized to upregulate PR levels through epigenetic modifications. The principal goal of this trial was to determine the impact of treatment on the level as well as the activity of progesterone receptors (PR) in women with endometrial cancer. However, a reliable marker for PR activity was needed, and the most promising choice was Ki-67. To be approved for inclusion in the study as an integrated biomarker, Ki-67 had to first undergo rigorous evaluation by the participating pathologists with oversight by the NIH Biomarker Review Committee. Methods: Fifty patients were enrolled on GY011, and specimen collection was planned by biopsy prior to receiving study drugs and by tissue sample at the time of the hysterectomy. There were 42 pre-drug administration specimens with tumor for analysis and 1 without and 43 hysterectomy specimens with tumor. Ki-67 immunohistochemistry performed on pre and post drug specimens was evaluated by three experienced reviewers (MS, KC and AR) using a qualitative approach, blinded to treatment arm. Pre and post-drug samples for each individual patient were compared and scored as increased, decreased, or unchanged. The Fleiss kappa statistic was chosen as the measure of concordance as it allows for more than two reviewers and more than two categories. Percent agreement and standard weighted kappa statistics were calculated for individual pairs of reviewers. Results: There was very good concordance between reviewers using the qualitative comparison of post to pre-drug Ki-67 staining with Fleiss’ Kappa of 0.91 and weighted Kappa’s ranging between 0.85 and 0.95. Reviewers 1 and 2 had the highest level of concordance. Reviewer agreement ranged from 0.92 to 0.98. The reviewer-specific (marginal) score distributions were similar. Each reviewer scored about 80% (79.5%-82.5%) of pairs as decreasing, with the remainder split similarly between no change (7.5%-10%) and increasing (10%-12.8%). Conclusion: Based upon the high concordance between reviewers, the NIH Biomarker Review Committee approved Ki-67 as an integrated biomarker for GY011, setting the stage for its use as an approved biomarker of therapeutic effectiveness in future endometrial cancer trials. Citation Format: Megan I. Samuelson, Virginia Filiaci, Kelley Carrick, Anand Rajan KD, William H. Rodgers, Kristina W. Thiel, Linda R. Duska, Kimberly K. Leslie. Approval for the proliferative marker Ki-67 as an integrated biomarker for endometrial cancer in NRG study GY011 [abstract]. In: Proceedings of the AACR Virtual Special Conference: Endometrial Cancer: New Biology Driving Research and Treatment; 2020 Nov 9-10. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(3_Suppl):Abstract nr PO020.

Objectives The ongoing global severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic necessitates adaptations in the practice of surgical pathology at scale. Primary diagnosis by whole-slide imaging (WSI) is a key component that would aid departments in providing uninterrupted histopathology diagnosis and maintaining revenue streams from disruption. We sought to perform rapid validation of the use of WSI in primary diagnosis meeting recommendations of the College of American Pathologists guidelines. Methods Glass slides from clinically reported cases from 5 participating pathologists with a preset washout period were digitally scanned and reviewed in settings identical to typical reporting. Cases were classified as concordant or with minor or major disagreement with the original diagnosis. Randomized subsampling was performed, and mean concordance rates were calculated. Results In total, 171 cases were included and distributed equally among participants. For the group as a whole, the mean concordance rate in sampled cases (n = 90) was 83.6% counting all discrepancies and 94.6% counting only major disagreements. The mean pathologist concordance rate in sampled cases (n = 18) ranged from 90.49% to 97%. Conclusions We describe a novel double-blinded method for rapid validation of WSI for primary diagnosis. Our findings highlight the occurrence of a range of diagnostic reproducibility when deploying digital methods.

Primary ovarian carcinoid tumors are uncommon neoplasms that typically arise in the context of a mature cystic teratoma. Pure primary ovarian carcinoid tumors (PPOCTs) are rare and present as a solid ovarian mass in which, by definition, elements of an associated teratoma or other neoplasm are absent. We report a case of a middle-aged woman who presented with abdominal distension. Computed tomography identified a 20 cm abdominopelvic mass. The patient underwent exploratory laparotomy, hysterectomy, and bilateral salpingo-oophorectomy. A large, solid, yellow-tan ovarian mass was resected and diagnosed as a PPOCT. Para-aortic lymph node metastases were identified. This case highlights the gross and microscopic findings characteristic of PPOCTs. In addition, the large number of differential considerations for an insular PPOCT at intraoperative evaluation are discussed.

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Medical student exposure to pathology is a continued concern for departments across the country as traditional pathology content is trimmed from medical school curricula. In a longstanding effort to recruit and expose more medical students to the practice of pathology, our institution has supported a year-long post-sophomore fellowship in pathology since the 1930s. The program employs 6 full-time medical students per year to function as junior residents, taking an active role in delivering surgical pathology and autopsy services, with additional opportunities for teaching, research, and electives. We evaluated residency specialty choices and current practice locations for our department’s former post-sophomore fellows (PSFs) who participated in the program from 1995 to 2016. We surveyed them about their reasons for pursuing the post-sophomore fellowship and the program’s effect on their clinical practice. From 1995 to 2016, our department employed 126 PSFs, 54 (43%) of whom pursued careers in pathology after completion of the post-sophomore fellowship. This represented 63% of our medical school’s graduates who matched into pathology during this time frame (1997-2018; 86 total). Thirteen former PSFs (32.5%) have held academic faculty positions in pathology. PSFs who chose another specialty affirmed the positive influence of the fellowship on their current practice. Our post-sophomore fellowship program is exceptional in the number of students participating each year, and our institution shows a higher percentage of former PSFs pursuing careers in pathology compared to similar studies. The post-sophomore fellowship is an effective tool for recruiting medical students to a career in pathology.