Harmonized molecular classification; assessment of a single-test ProMisE NGS tool.

OBJECTIVES: Despite recommendations for integrating molecular classification of endometrial cancers (EC) into pathology reporting and clinical management, uptake is inconsistent. To assign ProMisE subtype, all molecular components must be available (POLE mutation status, mismatch repair (MMR) and p53 immunohistochemistry (IHC)) and often these are assessed at different stages of care and/or at different centres resulting in delays in treatment. We assessed a single-test DNA-based targeted next generation sequencing (NGS) molecular classifier (ProMisE NGS), comparing concordance and prognostic value to the original ProMisE classifier. METHODS: DNA was extracted from formalin-fixed paraffin embedded (FFPE) ECs that had previously undergone ProMisE molecular classification (POLE sequencing, IHC for p53 and MMR). DNA was sequenced using the clinically validated Imagia Canexia Health Find It™ amplicon-based NGS gene panel assay to assess for pathogenic POLE mutations (unchanged from original ProMisE), TP53 mutations (in lieu of p53 IHC), and microsatellite instability (MSI) (in lieu of MMR IHC),with the same order of segregation as original ProMisE used for subtype assignment. Molecular subtype assignment of both classifiers was compared by concordance metrics and Kaplan-Meier survival statistics. RESULTS: The new DNA-based NGS molecular classifier (ProMisE NGS) was used to determine the molecular subtype in 164 ECs previously classified with ProMisE. 159/164 cases were concordant with a kappa statistic of 0.96 and an overall accuracy of 0.97. Prognostic differences in progression-free, disease-specific and overall survival between the four molecular subtypes were observed for the new NGS classifier, recapitulating the survival curves of the original ProMisE classifier. ProMisE NGS was 100% concordant between matched biopsy and hysterectomy samples. CONCLUSION: ProMisE NGS is feasible on standard FFPE material, demonstrates high concordance with the original ProMisE classifier and maintains prognostic value in EC. This test has the potential to facilitate implementation of molecular classification of EC at the time of first diagnosis.

Variation in practice in endometrial cancer and potential for improved care and equity through molecular classification.

OBJECTIVES: We measured the variation in practice across all aspects of endometrial cancer (EC) management and assessed the potential impact of implementation of molecular classification. METHODS: Centers from across Canada provided representative tumor samples and clinical data, including preoperative workup, operative management, hereditary cancer program (HCP) referrals, adjuvant therapy, surveillance and outcomes, for all EC patients diagnosed in 2016. Tumors were classified into the four ProMisE molecular subtypes. RESULTS: A total of 1336 fully evaluable EC patients were identified from 10 tertiary cancer centers (TC; n = 1022) and 19 community centers (CC; n = 314). Variation of surgical practice across TCs was profound (14-100%) for lymphadenectomy (LND) (mean 57% Gr1/2, 82% Gr3) and omental sampling (20% Gr1/2, 79% Gr3). Preoperative CT scans were inconsistently obtained (mean 32% Gr1/2, 51% Gr3) and use of adjuvant chemo or chemoRT in high risk EC ranged from 0-55% and 64-100%, respectively. Molecular subtyping was performed retrospectively and identified 6% POLEmut, 28% MMRd, 48% NSMP and 18% p53abn ECs, and was significantly associated with survival. Within patients retrospectively diagnosed with MMRd EC only 22% had been referred to HCP. Of patients with p53abn EC, LND and omental sampling was not performed in 21% and 23% respectively, and 41% received no chemotherapy. Comparison of management in 2016 with current 2020 ESGO/ESTRO/ESP guidelines identified at least 26 and 95 patients that would have been directed to less or more adjuvant therapy, respectively (10% of cohort). CONCLUSION: Molecular classification has the potential to mitigate the profound variation in practice demonstrated in current EC care, enabling reproducible risk assessment, guiding treatment and reducing health care disparities.

Costs and benefits of opportunistic salpingectomy as an ovarian cancer prevention strategy.

OBJECTIVE: To conduct a cost-effectiveness analysis of opportunistic salpingectomy (elective salpingectomy at hysterectomy or instead of tubal ligation). METHODS: A Markov Monte Carlo simulation model estimated the costs and benefits of opportunistic salpingectomy in a hypothetical cohort of women undergoing hysterectomy for benign gynecologic conditions or surgical sterilization. The primary outcome measure was the incremental cost-effectiveness ratio. Effectiveness was measured in terms of life expectancy gain. Sensitivity analyses accounted for uncertainty around various parameters. Monte Carlo simulation estimated the number of ovarian cancer cases associated with each strategy in the Canadian population. RESULTS: Salpingectomy with hysterectomy was less costly ($11,044.32 ± $1.56) than hysterectomy alone ($11,206.52 ± $29.81) or with bilateral salpingo-oophorectomy ($12,626.84 ± $13.11) but more effective at 21.12 ± 0.02 years compared with 21.10 ± 0.03 and 20.94 ± 0.03 years, representing average gains of 1 week and 2 months, respectively. For surgical sterilization, salpingectomy was more costly ($9,719.52 ± $3.74) than tubal ligation ($9,339.48 ± $26.74) but more effective at 22.45 ± 0.02 years compared with 22.43 ± 0.02 years (average gain of 1 week) with an incremental cost-effectiveness ratio of $27,278 per year of life gained. Our results were stable over a wide range of costs and risk estimates. Monte Carlo simulation predicted that salpingectomy would reduce ovarian cancer risk by 38.1% (95% confidence interval [CI] 36.5-41.3%) and 29.2% (95% CI 28.0-31.4%) compared with hysterectomy alone or tubal ligation, respectively. CONCLUSION: Salpingectomy with hysterectomy for benign conditions will reduce ovarian cancer risk at acceptable cost and is a cost-effective alternative to tubal ligation for sterilization. Opportunistic salpingectomy should be considered for all women undergoing these surgical procedures.

Better therapeutic trials in ovarian cancer.

The Ovarian Task Force of the Gynecologic Cancer Steering Committee convened a clinical trials planning meeting on October 28-29, 2011, with the goals to identify key tumor types, associated molecular pathways, and biomarkers for targeted drug intervention; review strategies to improve early-phase screening, therapeutic evaluation, and comparison of new agents; and optimize design of randomized trials in response to an evolving landscape of scientific, regulatory, and funding priorities. The meeting was attended by international clinical and translational investigators, pharmaceutical industry representatives, government regulators, and patient advocates. Panel discussions focused on disease types, early-phase trials, and randomized trials. A manuscript team summarized the discussions and assisted with formulating key recommendations. A more integrated and efficient approach for screening new agents using smaller selective randomized trials in specific disease-type settings was endorsed, together with collaborative funding models between industry and the evolving national clinical trials network, as well as efforts to enhance public awareness and study enrollment through advocacy.

A current perspective on the pathological assessment of FOXL2 in adult-type granulosa cell tumours of the ovary.

AIMS: The diagnosis of adult-type granulosa cell tumours of the ovary (aGCT) is based on histomorphology aided by immunohistochemical staining for sex cord markers. Recently a single, recurrent somatic point mutation (402C→G) in FOXL2 was described in aGCT. We have investigated the impact of FOXL2 mutation testing in a large cohort of aGCT diagnosed previously by conventional histology and immunohistochemistry. METHODS AND RESULTS: Formalin-fixed, paraffin-embedded tissue cores from a cohort of 52 aGCT diagnosed previously by expert gynaecopathologists were analysed immunohistologically. FOXL2 mutation status was determined by Sanger sequencing and high-sensitivity TaqMan allelic discrimination assay. Histomorphology was reassessed by two expert gynaecopathologists. FOXL2 mutation analyses could be performed successfully in 46 cases, 40 of which were positive for the c.402C>G mutation, confirming a diagnosis of aGCT. In the six cases negative for the c.402C>G mutation, one case was confirmed on review as FOXL2 wild-type aGCT, whereas in the remaining five cases diagnoses other than aGCT were made. CONCLUSION: In cases where a diagnosis of aGCT is a consideration and unequivocal diagnosis is not possible based on morphology and routine immunostains, FOXL2 mutation testing can help to confirm the diagnosis. It is particularly relevant for accurate subclassification within the group of sex cord-stromal tumours.

Inter-observer reproducibility of HER2 immunohistochemical assessment and concordance with fluorescent in situ hybridization (FISH): pathologist assessment compared to quantitative image analysis.

BACKGROUND: In breast cancer patients, HER2 overexpression is routinely assessed by immunohistochemistry (IHC) and equivocal cases are subject to fluorescent in situ hybridization (FISH). Our study compares HER2 scoring by histopathologists with automated quantitation of staining, and determines the concordance of IHC scores with FISH results. METHODS: A tissue microarray was constructed from 1,212 invasive breast carcinoma cases with linked treatment and outcome information. IHC slides were semi-quantitatively scored by two independent pathologists on a range of 0 to 3+, and also analyzed with an Ariol automated system by two operators. 616 cases were scorable by both IHC and FISH. RESULTS: Using data from unequivocal positive (3+) or negative (0, 1+) results, both visual and automated scores were highly consistent: there was excellent concordance between two pathologists (kappa = 1.000, 95% CI: 1-1), between two machines (kappa = 1.000, 95% CI: 1-1), and between both visual and both machine scores (kappa = 0.898, 95% CI: 0.775-0.979). Two pathologists successfully distinguished negative, positive and equivocal cases (kappa = 0.929, 95% CI: 0.909-0.946), with excellent agreement with machine 1 scores (kappa = 0.835, 95% CI: 0.806-0.862; kappa = 0.837, 95% CI: 0.81-0.862), and good agreement with machine 2 scores (kappa = 0.698, 95% CI: 0.6723-0.723; kappa = 0.709, 95% CI: 0.684-0.732), whereas the two machines showed good agreement (kappa = 0.806, 95% CI: 0.785-0.826). When comparing categorized IHC scores and FISH results, the agreement was excellent for visual 1 (kappa = 0.814, 95% CI: 0.768-0.856), good for visual 2 (kappa = 0.763, 95% CI: 0.712-0.81) and machine 1 (kappa = 0.665, 95% CI: 0.609-0.718), and moderate for machine 2 (kappa = 0.535, 95% CI: 0.485-0.584). CONCLUSION: A fully automated image analysis system run by an experienced operator can provide results consistent with visual HER2 scoring. Further development of such systems will likely improve the accuracy of detection and categorization of membranous staining, making this technique suitable for use in quality assurance programs and eventually in clinical practice.

Quantitative justification of the change from 10% to 30% for human epidermal growth factor receptor 2 scoring in the American Society of Clinical Oncology/College of American Pathologists guidelines: tumor heterogeneity in breast cancer and its implications for tissue microarray based assessment of outcome.

PURPOSE: The variability in scoring of immunohistochemistry, whether a result of true heterogeneity or artifacts in preparation, has led to decreased reliability in companion diagnostics and the recommendation for new standards (eg, the American Society of Clinical Oncology/College of American Pathologists [ASCO-CAP] guidelines). The basis of this problem is the amount of tissue required to be representative of an entire tumor. Because protein expression on tissue microarrays (TMAs) can be rigorously measured and one 0.6-mm spot is equivalent to two to three high-power fields, we used TMAs to assess levels of heterogeneity and to determine optimal representation as a function of outcome. PATIENTS AND METHODS: We analyzed estrogen receptor (ER), progesterone receptor, and human epidermal growth factor receptor 2 (HER-2) expression in two cohorts (n = 676 and n = 152) on a series of four to five separate TMA cores and assessed heterogeneity by linear regression analysis. Minimum, average, and maximum scores were generated for each set, which were then assessed for prognostic and predictive value. RESULTS: Each marker shows some heterogeneity, but average r values between 0.7 and 0.8 are seen between TMA spots. Analysis for prognostic value shows that the highest maximum score (of five spots) is the most prognostic for ER, whereas a high HER-2 minimum score is most prognostic for poor outcome and most predictive of response to trastuzumab. CONCLUSION: These results suggest that the representivity required for each biomarker may be a function of its role in tumorigenesis. Furthermore, these results provide scientific basis for the ASCO-CAP guidelines for assessment of HER-2 expression but perhaps suggest that the 30% figure is still too conservative.

Assessment of Her-1, Her-2, And Her-3 expression and Her-2 amplification in advanced stage ovarian carcinoma.

The human epidermal growth factor receptor (Her) family of receptor tyrosine kinases includes Her-1, Her-2, and Her-3. The overexpression of Her-1 and Her-2 have been reported previously in surface epithelial ovarian cancer. Although up to one-third of ovarian carcinomas have been found to have amplification or overexpression of Her-2, responses to trastuzumab therapy in these patients have been disappointing. In this study, we examined Her-1, Her-2, and Her- 3 protein expression as well as the frequency of Her-2 amplification in a series of 103 high-grade, advanced-stage (FIGO stage III or IV) ovarian surface epithelial carcinomas. Immunohistochemical staining using commercially available antibodies against Her-1-3 and fluorescence in situ hybridization (FISH) using probes against Her-2 and chromosome 17 centromere (CEP) were performed on a tissue microarray containing cores of tumor from 103 surface epithelial carcinomas (85 serous, 6 mixed surface epithelial, 5 clear cell, 3 endometrioid, 3 undifferentiated, 1 mucinous). Nine of 99 (9.1%) tumors were positive for Her-1 expression and 5 of 102 (4.9%) tumors were positive for Her-2 expression, with 1 showing strong immunoreactivity. None of the Her-1 positive tumors exhibited Her-2 immunoreactivity. There was no correlation between Her-1 or Her-2 expression and survival. Using Her-2:centromere fluorescence ratios of 2.0 or 1.5 as cutoffs in assessment of Her-2 amplification, 8 of 75 (10.7%) and 25 of 75 (33.3%) tumors, respectively, showed Her-2 amplification. Two of eight tumors that showed higher level (>2) Her-2 amplification by FISH also were positive for Her-2 by immunohistochemistry. Only 3 of 103 tumors expressed Her-3. Immunoreactivity for Her-1 and Her-2 was less frequently observed in this series than has been previously reported. The strong correlation between Her-2 immunostaining and amplification characteristic of breast carcinoma is not seen in ovarian carcinoma. These results indicated that few patients with ovarian carcinoma have tumors that would benefit from therapy targeted specifically against Her-1, Her-2, or Her-3.

Assessment of interlaboratory variation in the immunohistochemical determination of estrogen receptor status using a breast cancer tissue microarray.

The determination of tumor cell estrogen receptor (ER) expression status by immunohistochemical analysis has become standard practice, yet assay reproducibility has not been assessed adequately. By using a breast cancer tissue microarray, we examined interlaboratory variability in ER reporting. A 2-fold redundant tissue microarray block was created from 29 breast cancers. Unstained slides were distributed to 5 laboratories, and each laboratory immunostained and scored 1 slide for ER. Interlaboratory agreement ranged from moderate to high (overall kappa = 0.54 for 0-3+ grading; overall kappa = 0.84 for negative vs positive assessment of ER status). When 1 observer scored each of the 5 slides, interlaboratory agreement was slightly better (kappa = 0.63 for 0-3+ scoring; kappa = 0.96 for negative vs positive scoring). One laboratory, which had used an antibody and antigen retrieval method different from the others, demonstrated only fair concordance with the other 4 laboratories, but there was substantial intralaboratory interobserver agreement and excellent agreement with an outside observer reviewing the slide stained in that laboratory. The tissue microarray was an efficient and effective tool for identifying variability in ER reporting and should prove valuable in other external quality assurance programs.