Assignment of the biological value of solid breast masses based on quantitative evaluations of spectral CT examinations using electron density mapping, Zeffective mapping and iodine mapping.

OBJECTIVE: We aimed to asses, in a clinical setting, whether the newly available quantitative evaluation of electron density (ED) in spectral CT examinations of the breast provide information on the biological identity of solid breast masses and whether ED maps yield added value to the diagnostic information of iodine maps and Zeff maps calculated from the same CT image datasets. METHODS: All patients at the University Breast Cancer Center who underwent a clinically indicated Dual Layer Computed Tomography (DLCT) examination for staging of invasive breast cancer from 2018 to 2020 were prospectively included. Iodine concentration maps, Zeff maps and ED maps were automatically reconstructed from the DLCT datasets. Region of interest (ROI) based evaluations in the breast target lesions and in the aorta were performed semi-automatically in identical anatomical positions using dedicated evaluation software. Case-by-case evaluations were carried independently by 2 of 4 radiologists for each examination, respectively. Statistical analysis derived from the ROIs was done by calculating ROC/AUC curves and Youden indices. RESULTS: The evaluations comprised 166 DLCT examinations. In the ED maps the measurements in the breast target lesions yielded Youden cutpoints of 104.0% (reader 1) and 103.8% (reader 2) resulting in AUCs of 0.63 and 0.67 at the empirical cutpoints. The variables "Zeff" and "iodine content" derived from the target lesions showed superior diagnostical results, with a Youden cutpoint of 8.0 mg/ml in the iodine maps and cutpoints of 1.1/1.2 in the Zeff maps the AUCs ranging from 0.84 to 0.85 (p = 0.023 to <0.000). The computational combination of Zeff and ED measurements in the target lesions yielded a slight AUC increase (readers 1: 0.85-0.87; readers 2: 0.84-0.94). The ratios of the measured values in the target lesions normalized to the values measured in the aorta showed comparable results. The AUCs of ED derived from the cutpoints showed inferior results to those derived from the Zeff maps and iodine maps (ED: 0.64 and 0.66 for reader 1 and 2; Zeff: 0.86 for both readers; iodine content: 0.89 and 0.86 for reader 1 and 2, respectively). The computational combination of the ED results and the Zeff measurements did not lead to a clinically relevant diagnostic gain with AUCs ranging from 0.86 to 0.88. CONCLUSIONS: Quantitative assessments of Zeff, iodine content and ED all targeting the physical and chemical aspects of iodine uptake in solid breast masses confirmed diagnostically robust cutpoints for the differentiation of benign and malignant findings (Zeff < 7.7, iodine content of <0.8 mg/ml). The evaluations of the ED did not indicate any added diagnostic value beyond the quantitative assessments of Zeff and iodine content. Further research is warranted to develop suitable clinical indications for the use of ED maps.

Artificial Intelligence-Based Tool for Tumor Detection and Quantitative Tissue Analysis in Colorectal Specimens.

Digital pathology adoption allows for applying computational algorithms to routine pathology tasks. Our study aimed to develop a clinical-grade artificial intelligence (AI) tool for precise multiclass tissue segmentation in colorectal specimens (resections and biopsies) and clinically validate the tool for tumor detection in biopsy specimens. The training data set included 241 precisely manually annotated whole-slide images (WSIs) from multiple institutions. The algorithm was trained for semantic segmentation of 11 tissue classes with an additional module for biopsy WSI classification. Six case cohorts from 5 pathology departments (4 countries) were used for formal and clinical validation, digitized by 4 different scanning systems. The developed algorithm showed high precision of segmentation of different tissue classes in colorectal specimens with composite multiclass Dice score of up to 0.895 and pixel-wise tumor detection specificity and sensitivity of up to 0.958 and 0.987, respectively. In the clinical validation study on multiple external cohorts, the AI tool reached sensitivity of 1.0 and specificity of up to 0.969 for tumor detection in biopsy WSI. The AI tool analyzes most biopsy cases in less than 1 minute, allowing effective integration into clinical routine. We developed and extensively validated a highly accurate, clinical-grade tool for assistive diagnostic processing of colorectal specimens. This tool allows for quantitative deciphering of colorectal cancer tissue for development of prognostic and predictive biomarkers and personalization of oncologic care. This study is a foundation for a SemiCOL computational challenge. We open-source multiple manually annotated and weakly labeled test data sets, representing a significant contribution to the colorectal cancer computational pathology field.

Intermodal correlation of quantitative CT-data and MRI-biomarkers derived from synchronous spectral CT-maps and breast MRI-examinations with molecular biomarkers in invasive ductal breast carcinomas.

OBJECTIVE: To asses the correlation of data derived from dual-layer (DL)-CT material-maps and breast MRI data with molecular biomarkers in invasive breast carcinomas. METHODS: All patients at the University Breast Cancer Center who underwent a clinically indicated DLCT-scan and a breast MRI for staging of invasive ductal breast cancer from 2016 to 2020 were prospectively included. Iodine concentration-maps, and Zeffective-maps were reconstructed from the CT-datasets. T1w- and T2w-signal intensities, ADC and the clustered shapes of the dynamic-curves (washout, plateau, persistent) were derived from the MRI-datasets. ROI-based evaluations of the cancers and the reference "musculature" were performed semi-automatically in identical anatomical positions using dedicated evaluation software. Statistical analysis was essentially descriptive using Spearmans rank correlation and (multivariable) partial correlation. RESULTS: The signal intensities measured in the 3rd phase of the contrast dynamics correlated at an intermediate level of significance with the iodine content and the Zeffective-values derived from the breast target lesions (Spearmans rank correlation-coefficient r = 0.237/0.236, p = 0.002/0.003). The bivariate and the multivariate analyses displayed correlations of an intermediate significance level of the iodine content and the Zeff-values measured in the breast target lesions with immunhistochemical subtyping (r = 0.211-0.243, p = 0.002-0.009, respectively). The Zeff-values showed the strongest correlations when normalized to the values measured in the musculature and in the aorta (r = -0.237 to -0.305, r=<0.001-0.003). The MRI-assessments showed correlations of intermediate to high significance and low to intermediate significance between the ratios of the T2w-signal intensities and the trends of the dynamic curves measured in the breast target lesions and in musculature and immunohistochemical cancer subtyping, respectively (T2w: r = 0.232-0.249, p = 0.003/0.002; dynamics: r = -0.322/-0.245, p=<0.001/0.002). The ratios of the clustered trends of the dynamic curves measured in the breast target lesions and in musculature correlated with tumor grading on intermediate significance level (r = -0.213 and -0.194, p = 0.007/0.016) and with Ki-67 on a low significance level (bivariate analysis: r = -0.160, p = 0.040). There was only a weak correlation between the ADC-values measured in the breast target lesions and HER2-expression (bivariate ansalysis: r = 0.191, p = 0.030). CONCLUSIONS: Our preliminary results indicate that evaluation of perfusion based DLCT-data and MRI-biomarkers show correlations with the immunhistochemical subtyping of invasive ductal breast carcinomas. Further clinical research is warranted in order to validate the value of the results and define clinical situations in which the use of the described DLCT-biomaker and MRI biomarkers may be helpful in clinical patient care.

Artificial intelligence for tumour tissue detection and histological regression grading in oesophageal adenocarcinomas: a retrospective algorithm development and validation study.

BACKGROUND: Oesophageal adenocarcinoma and adenocarcinoma of the oesophagogastric junction are among the most common malignant epithelial tumours. Most patients receive neoadjuvant therapy before complete tumour resection. Histological assessment after resection includes identification of residual tumour tissue and areas of regressive tumour, data which are used to calculate a clinically relevant regression score. We developed an artificial intelligence (AI) algorithm for tumour tissue detection and tumour regression grading in surgical specimens from patients with oesophageal adenocarcinoma or adenocarcinoma of the oesophagogastric junction. METHODS: We used one training cohort and four independent test cohorts to develop, train, and validate a deep learning tool. The material consisted of histological slides from surgically resected specimens from patients with oesophageal adenocarcinoma and adenocarcinoma of the oesophagogastric junction from three pathology institutes (two in Germany, one in Austria) and oesophageal cancer cohort of The Cancer Genome Atlas (TCGA). All slides were from neoadjuvantly treated patients except for those from the TCGA cohort, who were neoadjuvant-therapy naive. Data from training cohort and test cohort cases were extensively manually annotated for 11 tissue classes. A convolutional neural network was trained on the data using a supervised principle. First, the tool was formally validated using manually annotated test datasets. Next, tumour regression grading was assessed in a retrospective cohort of post-neoadjuvant therapy surgical specimens. The grading of the algorithm was compared with that of a group of 12 board-certified pathologists from one department. To further validate the tool, three pathologists processed whole resection cases with and without AI assistance. FINDINGS: Of the four test cohorts, one included 22 manually annotated histological slides (n=20 patients), one included 62 sides (n=15), one included 214 slides (n=69), and the final one included 22 manually annotated histological slides (n=22). In the independent test cohorts the AI tool had high patch-level accuracy for identifying both tumour and regression tissue. When we validated the concordance of the AI tool against analyses by a group of pathologists (n=12), agreement was 63·6% (quadratic kappa 0·749; p<0·0001) at case level. The AI-based regression grading triggered true reclassification of resected tumour slides in seven cases (including six cases who had small tumour regions that were initially missed by pathologists). Use of the AI tool by three pathologists increased interobserver agreement and substantially reduced diagnostic time per case compared with working without AI assistance. INTERPRETATION: Use of our AI tool in the diagnostics of oesophageal adenocarcinoma resection specimens by pathologists increased diagnostic accuracy, interobserver concordance, and significantly reduced assessment time. Prospective validation of the tool is required. FUNDING: North Rhine-Westphalia state, Federal Ministry of Education and Research of Germany, and the Wilhelm Sander Foundation.

Genomic ALK alterations in primary and relapsed neuroblastoma.

BACKGROUND: Genomic alterations of the anaplastic lymphoma kinase gene (ALK) occur recurrently in neuroblastoma, a pediatric malignancy of the sympathetic nervous system. However, information on their development over time has remained sparse. METHODS: ALK alterations were assessed in neuroblastomas at diagnosis and/or relapse from a total of 943 patients, covering all stages of disease. Longitudinal information on diagnostic and relapsed samples from individual patients was available in 101 and 102 cases for mutation and amplification status, respectively. RESULTS: At diagnosis, ALK point mutations occurred in 10.5% of all cases, with highest frequencies in stage 4 patients <18 months. At relapse, ALK alteration frequency increased by 70%, both in high-risk and non-high-risk cases. The increase was most likely due to de novo mutations, frequently leading to R1275Q substitutions, which are sensitive to pharmacological ALK inhibition. By contrast, the frequency of ALK amplifications did not change over the course of the disease. ALK amplifications, but not mutations, were associated with poor patient outcome. CONCLUSIONS: The considerably increased frequency of ALK mutations at relapse and their high prevalence in young stage 4 patients suggest surveying the genomic ALK status regularly in these patient cohorts, and to evaluate ALK-targeted treatment also in intermediate-risk patients.

First Clinical Experience With [68Ga]Ga-FAPI-46-PET/CT Versus [18F]F-FDG PET/CT for Nodal Staging in Cervical Cancer.

INTRODUCTION: In several solid tumors, fibroblast activation protein (FAP) is overexpressed by cancer-associated fibroblasts in the tumor microenvironment. Preliminary evidence suggests that detection and staging are feasible with PET/CT imaging using [68Ga]-radiolabeled inhibitors of FAP also in cervical cancer (CC). Our study aims to explore the accuracy of [68Ga]Ga-fibroblast activation protein inhibitor (FAPI)-46 PET/CT and [18F]F-FDG PET/CT compared with histopathological results of surgical lymph node (LN) staging before primary chemoradiation. METHODS: Seven consecutive women with treatment-naive and biopsy-proven locally advanced CC underwent both whole-body [68Ga]Ga-FAPI-46- and [18F]F-FDG PET/CT, for imaging nodal staging before systematic laparoscopic lymphadenectomy of the pelvic and para-aortic region. Location and number of suspicious LNs in PET imaging were recorded and compared with the results of histopathological analysis, including immunohistochemical staining for FAP. RESULTS: All 7 patients had focal uptake above background in their tumor lesions in [68Ga]Ga-FAPI-46 PET/CT. [68Ga]Ga-FAPI-46 PET/CT showed a higher tumor-to-background ratio (TBR) in primary tumor as well as in LN metastasis. Median TBRmax values using liver were 32.02 and 5.15 for [68Ga]Ga-FAPI-46 PET/CT and [18F]F-FDG PET/CT, respectively. Median TBRmax using blood pool was 18.45 versus 6.85 for [68Ga]Ga-FAPI-46 PET/CT and [18F]F-FDG PET/CT, respectively. Higher TBR also applies for nodal metastasis: TBRmax was 14.55 versus 1.39 (liver) and 7.97 versus 1.8 (blood pool) for [68Ga]Ga-FAPI-46 PET/CT and [18F]F-FDG PET/CT, respectively. Overall, [68Ga]Ga-FAPI-46 PET/CT detected more lesions compared with [18F]F-FDG PET/CT. Following surgical staging, a total of 5 metastatic LNs could be pathologically confirmed, of which 2 and 4 were positive by [18F]F-FDG PET/CT and [68Ga]Ga-FAPI-46 PET/CT, respectively. CONCLUSION: [68Ga]Ga-FAPI-46 PET/CT seems useful to improve detection of nodal metastasis in patients with CCs. Future studies should aim to compare [68Ga]Ga-FAPI-46 PET/CT to surgical staging of pelvic and para-aortic LNs in patients with locally advanced CC.

Incidental FOXL2 mutated adult granulosa cell tumour of the ovary with thecoma-like foci.

We report on the incidental finding of a FOXL2 mutated adult granulosa cell tumour of the ovary with thecoma-like foci, a rare entity recently described by Jennifer N. Stall and Robert H. Young in a series of sixteen cases in 2019, displaying features differing from conventional adult granulosa cell tumour. Our aim is to specify the morphologic and molecular particularities of this presumably underrecognized finding, with a short presentation of the typical clinical context. Awareness of this rare and challenging neoplasm with indeterminate clinical course is crucial in routine diagnostics.

Correlation of CT-data derived from multiparametric dual-layer CT-maps with immunohistochemical biomarkers in invasive breast carcinomas.

OBJECTIVE: To examine the correlation of quantitative measurements from material decomposition maps calculated from dual-layer CT (DLCT)-image datasets with immunohistochemical biomarkers of invasive breast carcinomas. MATERIAL AND METHODS: All patients at the University Breast Cancer Center who underwent a clinically indicated dual-layer CT-scan for staging of invasive ductal breast carcinoma from 01/2016 to 07/2020 were prospectively included. Iodine concentration maps and maps of the effective atomic numbers (Zeffective) were reconstructed from the image datasets. ROI-based evaluations of the index tumors and predefined references tissues for normalization were performed semi-automatically in identical anatomical positions using dedicated evaluation software. Statistical analysis was essentially descriptive using Spearmans rank correlation and (multivariable) partial correlation. RESULTS: Bivariate showed statistically significant correlations of iodine contents (r = -0.154/-0.202/0.180, p = 0.039/0.006/0.015), and Zeffective-values (r = -0.158/-0.199/0.179, p = 0.034/0.007/0.016) for all 184 carcinomas and the subgroup of 168 invasive ductal carcinomas. The results were confirmed by multivariate analyses with "age", "diameter" and "ACR-grade" as possible confounders. Normalization of the measured target values with those in the aorta confirmed significant correlations of iodine content and Zeffective compared to Estrogen (r = 0.174, p = 0.019), Progesteron (r = 0.168/0.177, p = 0.024/0.017), and HER2 receptor expression (r = -0.222/-0.184, p = 0.003/0.013). All CT-parameters showed significant correlations with immunohistochemical subtyping (r = 0.191/0.192, p = 0.010). CONCLUSIONS: Our preliminary results indicate that iodine content and Zeffective-values derived from DLCT-examinations correlate with hormone receptor expression in invasive breast carcinomas. Assignments to benign entities already seam feasible in clinical routine CT-diagnostics. After further investigations iodine content and Zeffective may be translated as diagnostical and prognostical biomarkers into clinical routine in the long term.

Cervical Intraepithelial Neoplasia 3 (Cervical Intraepithelial Neoplasia 3/High-Grade Squamous Intraepithelial Lesion) in Human Papillomavirus-Vaccinated Women-Results From a Tertiary Referral Center.

OBJECTIVE: High-grade cervical intraepithelial neoplasia (CIN 3) still develops in some vaccinated women despite established effectiveness of prophylactic human papillomavirus (HPV) vaccination. The purpose of this study was to define characteristics of women with CIN 3 after HPV vaccination referred to a gynecological dysplasia unit. MATERIALS AND METHODS: Retrospective analysis of HPV-vaccinated women with CIN 3 in a single German center. Between July 2018 and September 2020, 791 women were referred to our university hospital-based dysplasia unit for colposcopic evaluation of abnormal cytological findings. Human papillomavirus vaccination status was retrieved. Human papillomavirus typing was performed in lesional biopsies and cervical swabs. RESULTS: Nine women were identified who had previously been vaccinated with the quadrivalent HPV vaccine (Q-HPV) and were diagnosed with histologically confirmed CIN 3/high-grade squamous intraepithelial lesion. The Q-HPV had been administered between 12 and 28 years of age and 1-13 years before CIN 3 diagnosis. Nine different high-risk (HR)-HPV types were found in the CIN 3 biopsies, 6 monoinfections (twice HPV 16, once HPV 18, HPV 31, HPV 52, HPV 58, respectively) and 3 dual infections (HPV 33 + 52, HPV 51 + 52, HPV 53 + 66). Seven of these 9 HR-HPV types are not covered by Q-HPV, but only 2 CIN 3 lesions carried HR-HPV types not included in the nonavalent HPV vaccine. CONCLUSIONS: It is important to implement vaccination recommendations and administer HPV vaccination as early as possible in HPV-naive individuals. Because not all HR-HPV types are covered by the available HPV vaccines, other types may still cause CIN 3/high-grade squamous intraepithelial lesion. This requires further screening after vaccination, especially in women who were previously vaccinated with the bivalent or the quadrivalent HPV vaccine.

Prevalence of abnormal Pap smear results in inflammatory bowel disease: a prospective study.

PURPOSE: Development of malignancy is a pending threat for patients with inflammatory bowel disease (IBD). Aim of this study was to analyze cervical dysplasia and infection with human papilloma virus (HPV) in patients with IBD. METHODS: This was a prospective, single center cohort study in Germany. Consecutive IBD patients admitted to the Department of Gastroenterology were sent to Gynecology, where a questionnaire was answered and gynecological examinations including a smear for cytology and HPV were taken. Participants of a general screening program constituted controls. Descriptive statistics, 95% confidence intervals and odds ratios were calculated. RESULTS: A total of 101 patients were recruited of which 99 patients participated. Analysis showed a significant (p = 0.05) difference between the prevalence of abnormal smears in patients with (22%) and without (6%) immunosuppressive therapy, while the latter had cervical abnormalities comparable with healthy controls (5%). All immunosuppressants showed similarly high risks for abnormal smear results. Only 11/99 (11%) patients had positive high-risk HPV tests, which is comparable with general population. CONCLUSION: The prevalence of abnormal cervical smears is higher in IBD patients compared to healthy individuals, but the difference is confined to patients with IBD and immunosuppressive therapy. Annual screening is advisable.

Quality control stress test for deep learning-based diagnostic model in digital pathology.

Digital pathology provides a possibility for computational analysis of histological slides and automatization of routine pathological tasks. Histological slides are very heterogeneous concerning staining, sections' thickness, and artifacts arising during tissue processing, cutting, staining, and digitization. In this study, we digitally reproduce major types of artifacts. Using six datasets from four different institutions digitized by different scanner systems, we systematically explore artifacts' influence on the accuracy of the pre-trained, validated, deep learning-based model for prostate cancer detection in histological slides. We provide evidence that any histological artifact dependent on severity can lead to a substantial loss in model performance. Strategies for the prevention of diagnostic model accuracy losses in the context of artifacts are warranted. Stress-testing of diagnostic models using synthetically generated artifacts might be an essential step during clinical validation of deep learning-based algorithms.

Managing Difficulties of Microsatellite Instability Testing in Endometrial Cancer-Limitations and Advantages of Four Different PCR-Based Approaches.

Microsatellite instability (MSI), a common alteration in endometrial cancers (EC) is known as a biomarker for immune checkpoint therapy response alongside screening for Lynch Syndrome (LS). However, former studies described challenging MSI profiles in EC hindering analysis by using MSI testing methods intensively validated for colorectal cancer (CRC) only. In order to reduce false negatives, this study examined four different PCR-based approaches for MSI testing using 25 EC samples already tested for mismatch repair deficiency (dMMR). In a follow up validation set of 75 EC samples previously tested both for MMR and MSI, the efficiency of a seven-marker system corresponding to the Idylla system was further analyzed. Both Bethesda and Promega marker panels require trained operators to overcome interpretation complexities caused by either hardly visible additional peaks of one and two nucleotides, or small shifts in microsatellite repeat length. Using parallel sequencing adjustment of bioinformatics is needed. Applying the Idylla MSI assay, an evaluation of input material is more crucial for reliable results and is indispensable. Following MMR deficiency testing as a first-line screening procedure, additional testing with a PCR-based method is necessary if inconclusive staining of immunohistochemistry (IHC) must be clarified.

Modern day screening for Lynch syndrome in endometrial cancer: the KEM experience.

PURPOSE: Current guidelines for Lynch syndrome detection in endometrial cancer (EC) patients rely either on risk evaluation, based on personal/family history, or detection of mismatch repair (MMR) deficiency on tumor tissue. We present a combined screening algorithm for Lynch syndrome. METHODS: In this study, 213 consecutive patients treated for EC at Kliniken Essen-Mitte between 2014 and 2018 were included. Personal/family history was evaluated by the Amsterdam II, revised Bethesda/German-DKG criteria and prediction model PREMM5. MMR testing was performed by immunohistochemistry (IHC) and/or polymerase chain reaction (PCR) based microsatellite analysis on tumor tissue. MLH1 promoter methylation analysis was performed in case of MLH1 loss or microsatellite instability. RESULTS: Based on personal/family history 2/213 (Amsterdam II), 31/213 (revised Bethesda/German-DKG) and 149/213 (PREMM5) patients were identified as at risk for Lynch syndrome. MMR analysis was performed by IHC in 51.2%, by PCR in 32.4%, and in 16.4% of patients both methods were used. MMR deficiency was detected in 20.6% (44/213). Methylation analysis was performed in 27 patients of whom, 22 (81.4%) showed MLH1 promoter hypermethylation. Only 9% of MMR deficient patients were identified as at risk for Lynch syndrome by the revised Bethesda/German-DKG criteria. A pathogenic germline mutation was discovered in 3 out of 20 patients that underwent genetic testing. None of these patients were younger than 50 years or had a family history of Lynch syndrome-associated malignancies. CONCLUSION: General MMR assessment is a feasible strategy to improve the detection of Lynch Syndrome in patients with EC.

A Modern Approach to Endometrial Carcinoma: Will Molecular Classification Improve Precision Medicine in the Future?

Endometrial cancer has been histologically classified as either an estrogen-dependent cancer with a favorable outcome or an estrogen-independent cancer with a worse prognosis. These parameters, along with the clinical attributions, have been the basis for risk stratification. Recent molecular and histopathological findings have suggested a more complex approach to risk stratification. Findings from the Cancer Genome Atlas Research Network established four distinctive genomic groups: ultramutated, hypermutated, copy-number low and copy-number high prognostic subtypes. Subsequently, more molecular and histopathologic classifiers were evaluated for their prognostic and predictive value. The impact of molecular classification is evident and will be recognized by the upcoming WHO classification. Further research is needed to give rise to a new era of molecular-based endometrial carcinoma patient care.

Preoperative biopsies as predictor for the necessity of inguinal lymph node surgery in squamous cell carcinoma of the vulva-a retrospective tertiary center analysis.

PURPOSE: Squamous cell carcinoma of the vulva (SQCV) is the fifth common cancer in women. Necessity of inguinal lymph node surgery depends on the depth of stromal invasion, inducing lymph node surgery, if depth of invasion is more than 1 mm. In this study we tested the prediction of stromal infiltration depth by measurements in preoperative biopsies. METHODS: We analyzed whether a different operative strategy in respect to lymph node surgery would have been chosen based on the pre- or postoperative depth of stromal invasion for each patient. Examination of infiltration depth in preoperative biopsies and surgical specimen were compared. RESULTS: In total 77 patients were included in this study. Of those 89.6% showed different depths of stromal invasion comparing the pre- and postoperative specimen. Within seventeen patients (22.1%) preoperative depth was 1 mm or less and a postoperative depth was > 1 mm. CONCLUSION: We pointed, that only in 77.9% of the patients who should have undergo lymph node surgery based on the postoperative depth of infiltration underwent this procedure. Consequentially in 22.1% of the cases a second operation could not be prevented with a preoperative taken biopsy as indicator for the necessity of lymph node surgery.

Transdiaphragmatic Mucormycosis.

Mucormycosis is a life-threatening infection. This is the first report of transdiaphragmatic mucormycosis in a series of 3 patients. We observed this phenomenon in 11% of patients. Clinicians should be aware of this possibly underreported entity, and as a consequence we envision more comprehensive imaging studies in patients with mucormycosis.

EZH2 Is Overexpressed in BRCA1-like Breast Tumors and Predictive for Sensitivity to High-Dose Platinum-Based Chemotherapy.

PURPOSE: BRCA1-deficient breast cancers carry a specific DNA copy-number signature ("BRCA1-like") and are hypersensitive to DNA double-strand break (DSB) inducing compounds. Here, we explored whether (i) EZH2 is overexpressed in human BRCA1-deficient breast tumors and might predict sensitivity to DSB-inducing drugs; (ii) EZH2 inhibition potentiates cisplatin efficacy in Brca1-deficient murine mammary tumors. EXPERIMENTAL DESIGN: EZH2 expression was analyzed in 497 breast cancers using IHC or RNA sequencing. We classified 370 tumors by copy-number profiles as BRCA1-like or non-BRCA1-like and examined its association with EZH2 expression. Additionally, we assessed BRCA1 loss through mutation or promoter methylation status and investigated the predictive value of EZH2 expression in a study population of breast cancer patients treated with adjuvant high-dose platinum-based chemotherapy compared with standard anthracycline-based chemotherapy. To explore whether EZH2 inhibition by GSK126 enhances sensitivity to platinum drugs in EZH2-overexpressing breast cancers we used a Brca1-deficient mouse model. RESULTS: The highest EZH2 expression was found in BRCA1-associated tumors harboring a BRCA1 mutation, BRCA1-promoter methylation or were classified as BRCA1 like. We observed a greater benefit from high-dose platinum-based chemotherapy in BRCA1-like and non-BRCA1-like patients with high EZH2 expression. Combined treatment with the EZH2 inhibitor GSK126 and cisplatin decreased cell proliferation and improved survival in Brca1-deficient mice in comparison with single agents. CONCLUSIONS: Our findings demonstrate that EZH2 is expressed at significantly higher levels in BRCA1-deficient breast cancers. EZH2 overexpression can identify patients with breast cancer who benefit significantly from intensified DSB-inducing platinum-based chemotherapy independent of BRCA1-like status. EZH2 inhibition improves the antitumor effect of platinum drugs in Brca1-deficient breast tumors in vivo.