FIGO grade 3 endometrioid endometrial carcinoma (EEC) is a heterogenous group of tumors with variable molecular and clinicopathologic characteristics but is treated clinically as a single entity. There is a need for additional objective markers to help guide management. The aim of this study was to evaluate a cohort of FIGO grade 3 EEC to validate the prognostic impact of molecular classification using POLE mutation (POLE-mut) analysis and immunohistochemistry for p53 and mismatch repair proteins. A secondary aim was to assess for any morphologic or immunophenotypic correlates among the molecular groups. Ninety-five cases of FIGO grade 3 EEC who underwent a hysterectomy at our institution were identified. Ten tumors (11%) harbored POLE-mut, 35 tumors (37%) showed mismatch repair deficiency, 18 tumors (19%) showed aberrant p53 staining (p53-ab), and 26 cases (27%) lacked all of these findings and were classified as no specific molecular profile. Six separate cases harbored >1 abnormality (multiple classifier), 5 of which had POLE-mut. The POLE-mut group and multiple classifier group showed excellent clinical outcomes, the p53-ab group showed the worst clinical outcomes and the 2 remaining groups showed intermediate prognosis. While the POLE-mut tumors showed a statistically significant enrichment for morphologic features including serous-like atypia and lymphocytic infiltrates, these findings were seen across all 4 molecular groups. There was no correlation between molecular grouping and tumor immunophenotypic findings, but overall 18% and 24% of tumors were completely negative for PAX-8 and estrogen receptor, respectively. Five CTNNB1 mutations were identified, 3 of which occurred in the context of a POLE-mut (including 1 multiple classifier case with MLH1/PMS2 loss). Thus our study corroborates the prognostic impact of molecular classification of high-grade endometrioid carcinoma of the uterus, achieved by readily available immunohistochemical stains in addition to POLE-mut analysis.

PD-L1 is expressed in a significant proportion of EC and is associated with mismatch repair deficiency, potentially representing a mechanism of tumor immune evasion and a therapeutic target in EC.

Objective. Thyroid disease has been reported among the endocrinopathies that can occur after treatment with ipilimumab. Graves' disease, however, has been rarely reported with this medication. Here we report a case of Graves' disease diagnosed after initiation of ipilimumab in a patient with melanoma. Methods. We present the clinical presentation and management course of this patient followed by a related literature review. Results. A 67-year-old male with metastatic melanoma was started on ipilimumab. He developed hyperthyroidism after two doses of ipilimumab. The cause of hyperthyroidism was determined to be Graves' disease. Ipilimumab was held and the patient was started on methimazole with return to euthyroid status. Ipilimumab was resumed and the patient continued methimazole during the course of ipilimumab therapy, with controlled hyperthyroidism. Restaging studies following four cycles of ipilimumab showed complete response in the lungs, with residual melanoma in the neck. The patient then underwent total thyroidectomy and left neck dissection as a definitive treatment for both hyperthyroidism and residual melanoma. Conclusion. Graves' disease can develop after starting ipilimumab and methimazole can be an effective treatment. For patients whose hyperthyroidism is well-controlled on methimazole, ipilimumab may be resumed with close monitoring.

Objective Links between obesity, with its attendant estrogen abnormalities, and the endometrial carcinoma (EC) DNA Mismatch Repair Protein (MMR) system have recently been proposed. We investigated relationships between Body Mass Index (BMI) and clinicopathological correlates including MMR expression in a large single institution EC cohort. Methods Clinical and pathological databases from 2007 to 2012 were used to identify consecutive hysterectomy specimens with EC. Univariate and multivariate analyses were used to explore relationships between BMI, age, stage, tumor type and immunohistochemical results for MLH1, PMS2, MSH2 and MSH6. Results 1049 EC were identified. Overall, BMI was higher amongst women with normal MMR (p=0.002). However, when stratified by age and specific MMR, statistically significant differences localized exclusively to women <50 years old with loss of MSH2 and/or MSH6 (p=0.003 and p=0.005 respectively). Higher BMI correlated with endometrioid FIGO 1 and 2 tumors (p<0.001) and with stage 1a (p<0.001). Conversely, MMR abnormalities did not show significant associations with stage (p=0.302) or histologic grade (p=0.097). Conclusions BMI showed statistically significant associations with MMR expression, tumor grade and stage amongst 1049 consecutive EC. Obesity correlates with lower grade and stage EC. A link between BMI and maintenance of the MMR system is not supported by our data because the only statistically significant association occurred in women <50 years old with MSH2 and/or MSH6 abnormalities where Lynch syndrome related cases are expected to cluster.

BackgroundFollicular lymphoma (FL) is one of the most common lymphoid malignancies in the western world. FL cases are stratified into three histological grades based on the average centroblast count per high power field (HPF). The centroblast count is performed manually by the pathologist using an optical microscope and hematoxylin and eosin (H&E) stained tissue section. Although this is the current clinical practice, it suffers from high inter- and intra-observer variability and is vulnerable to sampling bias.MethodsIn this paper, we present a system, called Follicular Lymphoma Grading System (FLAGS), to assist the pathologist in grading FL cases. We also assess the effect of FLAGS on accuracy of expert and inexperienced readers. FLAGS automatically identifies possible HPFs for examination by analyzing H&E and CD20 stains, before classifying them into low or high risk categories. The pathologist is first asked to review the slides according to the current routine clinical practice, before being presented with FLAGS classification via color-coded map. The accuracy of the readers with and without FLAGS assistance is measured.ResultsFLAGS was used by four experts (board-certified hematopathologists) and seven pathology residents on 20 FL slides. Access to FLAGS improved overall reader accuracy with the biggest improvement seen among residents. An average AUC value of 0.75 was observed which generally indicates “acceptable” diagnostic performance.ConclusionsThe results of this study show that FLAGS can be useful in increasing the pathologists’ accuracy in grading the tissue. To the best of our knowledge, this study measure, for the first time, the effect of computerized image analysis on pathologists’ grading of follicular lymphoma. When fully developed, such systems have the potential to reduce sampling bias by examining an increased proportion of HPFs within follicle regions, as well as to reduce inter- and intra-reader variability.Electronic supplementary materialThe online version of this article (doi:10.1186/s12911-015-0235-6) contains supplementary material, which is available to authorized users.

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MELF invasion has been associated with non-vaginal recurrences and lymph node (LN) metastases in multi-institutional case control studies, but has not been well examined in large single institution cohorts. Hysterectomy specimens with FIGO 1 endometrioid endometrial carcinoma (EEC) and lymphadenectomies from 2007 to 2012 were identified. Electronic medical records and histologic slides were reviewed. Of 464 identified cases, 163 (35.1%) were noninvasive, 60 (12.9%) had MELF, 222 (47.8%) had a component of the infiltrative invasion pattern without MELF, 13 (2.8%) had pure pushing borders of invasion, 5 (1.1%) had pure adenomyosis-like invasion, and 1 (0.2%) had pure adenoma malignum-like invasion. Sixteen cases had LN metastases. Significantly more MELF cases had positive LNs than non-MELF cases overall (18.3% vs 1.2%, p<0.001). The results were almost identical when invasive infiltrative cases with and without MELF were compared (18.3% vs 1.8%, p<0.001). The maximum number of MELF glands per slide did not differ between cases with and without LN metastases, p=0.137. A majority of positive LNs, even in MELF cases, demonstrated non-histiocyte-like metastases. Only five cases (all with MELF invasion) demonstrated micrometastatic lesions or isolated tumor cells only. MELF cases demonstrated a non-significant decrease in time to extra-vaginal recurrence (p=0.082, log-rank test), for which analysis was limited by low recurrence rates. In summary, MELF is associated with LN metastases, even when compared to other infiltrative cases, and shows multiple patterns of growth in positive LNs. MELF cases additionally trended toward decreased time to extra-vaginal recurrence.

Background Obesity is a main risk factor for endometrial carcinoma (EC). Insulin-like growth factor 1 receptor (IGF1R) expression may influence this association. Methods IGF1R IHC was performed on a tissue microarray with 894 EC and scored according to the percentage and intensity of staining to create immunoreactivity scores, which were dichotomized into low and high IGF1R expression groups. Logistic regression modeling assessed associations with body mass index (BMI), age, histology, pathologic extent of disease (pT), and lymph node metastasis (pN). Overall survival (OS) and disease-free survival (DFS) were compared between IGF1R expression groups using Kaplan–Meier curves and log-rank tests. Results The proportion of patients with high IGF1R expression increased as BMI (<30, 30–39, and 40+ kg/m2) increased (P = 0.002). The adjusted odds of having high IGF1R expression was 1.49 [95% confidence interval (CI), 1.05–2.10, P = 0.024] for patients with BMI 30 to 39 kg/m2 compared with <30 kg/m2 and 1.62 (95% CI, 1.13–2.33, P = 0.009) for patients with BMI 40+ kg/m2 compared with <30 kg/m2. High IGF1R expression was associated with pT and pN univariately and with pT after adjusting for BMI, pN, age, and histologic subtype. DFS and OS were better with high IGF1R expression, P = 0.020 and P = 0.002, respectively, but DFS was not significant after adjusting for pT, pN, and histologic subtype of the tumor. Conclusions There is an association between BMI and EC IGF1R expression. Higher IGF1R expression is associated with lower pT and better DFS and OS. Impact These findings suggest a link between IGF1R EC expression and obesity, as well as IGF1R expression and survival.