Fit-for-Purpose Ki-67 Immunohistochemistry Assays for Breast Cancer.

New therapies are being developed for breast cancer, and in this process, some "old" biomarkers are reutilized and given a new purpose. It is not always recognized that by changing a biomarker's intended use, a new biomarker assay is created. The Ki-67 biomarker is typically assessed by immunohistochemistry (IHC) to provide a proliferative index in breast cancer. Canadian laboratories assessed the analytical performance and diagnostic accuracy of their Ki-67 IHC laboratory-developed tests (LDTs) of relevance for the LDTs' clinical utility. Canadian clinical IHC laboratories enrolled in the Canadian Biomarker Quality Assurance Pilot Run for Ki-67 in breast cancer by invitation. The Dako Ki-67 IHC pharmDx assay was employed as a study reference assay. The Dako central laboratory was the reference laboratory. Participants received unstained slides of breast cancer tissue microarrays with 32 cases and performed their in-house Ki-67 assays. The results were assessed using QuPath, an open-source software application for bioimage analysis. Positive percent agreement (PPA, sensitivity) and negative percent agreement (NPA, specificity) were calculated against the Dako Ki-67 IHC pharmDx assay for 5%, 10%, 20%, and 30% cutoffs. Overall, PPA and NPA varied depending on the selected cutoff; participants were more successful with 5% and 10%, than with 20% and 30% cutoffs. Only 4 of 16 laboratories had robust IHC protocols with acceptable PPA for all cutoffs. The lowest PPA for the 5% cutoff was 85%, for 10% was 63%, for 20% was 14%, and for 30% was 13%. The lowest NPA for the 5% cutoff was 50%, for 10% was 33%, for 20% was 50%, and for 30% was 57%. Despite many years of international efforts to standardize IHC testing for Ki-67 in breast cancer, our results indicate that Canadian clinical LDTs have a wide analytical sensitivity range and poor agreement for 20% and 30% cutoffs. The poor agreement was not due to the readout but rather due to IHC protocol conditions. International Ki-67 in Breast Cancer Working Group (IKWG) recommendations related to Ki-67 IHC standardization cannot take full effect without reliable fit-for-purpose reference materials that are required for the initial assay calibration, assay performance monitoring, and proficiency testing.

Ki67 in Breast Cancer Assay: An Ad Hoc Testing Recommendation from the Canadian Association of Pathologists Task Force.

Ki67, a marker of cellular proliferation, is commonly assessed in surgical pathology laboratories. In breast cancer, Ki67 is an established prognostic factor with higher levels associated with worse long-term survival. However, Ki67 IHC is considered of limited clinical use in breast cancer management largely due to issues related to standardization and reproducibility of scoring across laboratories. Recently, both the American Food and Drug Administration (FDA) and Health Canada have approved the use of abemaciclib (CDK4/6 inhibitor) for patients with HR+/HER2: high-risk early breast cancers in the adjuvant setting. Health Canada and the FDA have included a Ki67 proliferation index of ≥20% in the drug monograph. The approval was based on the results from monarchE, a phase III clinical trial in early-stage chemotherapy-naïve, HR+, HER2 negative patients at high risk of early recurrence. The study has shown significant improvement in invasive disease-free survival (IDFS) with abemaciclib when combined with adjuvant endocrine therapy at two years. Therefore, there is an urgent need by the breast pathology and medical oncology community in Canada to establish national guideline recommendations for Ki67 testing as a predictive marker in the context of abemaciclib therapy consideration. The following recommendations are based on previous IKWG publications, available guidance from the monarchE trial and expert opinions. The current recommendations are by no means final or comprehensive, and their goal is to focus on its role in the selection of patients for abemaciclib therapy. The aim of this document is to guide Canadian pathologists on how to test and report Ki67 in invasive breast cancer. Testing should be performed upon a medical oncologist's request only. Testing must be performed on treatment-naïve tumor tissue. Testing on the core biopsy is preferred; however, a well-fixed resection specimen is an acceptable alternative. Adhering to ASCO/CAP fixation guidelines for breast biomarkers is advised. Readout training is strongly recommended. Visual counting methods, other than eyeballing, should be used, with global rather than hot spot assessment preferred. Counting 100 cells in at least four areas of the tumor is recommended. The Ki67 scoring app developed to assist pathologists with scoring Ki67 proposed by the IKWG, available for free download, may be used. Automated image analysis is very promising, and laboratories with such technology are encouraged to use it as an adjunct to visual counting. A score of <5 or >30 is more robust. The task force recommends that the results are best expressed as a continuous variable. The appropriate antibody clone and staining protocols to be used may take time to address. For the time being, the task force recommends having tonsils/+pancreas on-slide control and enrollment in at least one national/international EQA program. Analytical validation remains a pending goal. Until the data become available, using local ki67 protocols is acceptable. The task force recommends participation in upcoming calibration and technical validation initiatives.

The Use of Optical Coherence Tomography for Gross Examination and Sampling of Fixed Breast Specimens: A Pilot Study.

Thorough gross examination of breast cancer specimens is critical in order to sample relevant portions for subsequent microscopic examination. This task would benefit from an imaging tool which permits targeted and accurate block selection. Optical coherence tomography (OCT) is a non-destructive imaging technique that visualizes tissue architecture and has the potential to be an adjunct at the gross bench. Our objectives were: (1) to familiarize pathologists with the appearance of breast tissue entities on OCT; and (2) to evaluate the yield and quality of OCT images of unprocessed, formalin-fixed breast specimens for the purpose of learning and establishment of an OCT-histopathology library. METHODS: Firstly, 175 samples from 40 formalin-fixed, unprocessed breast specimens with residual tissue after final diagnosis were imaged with OCT and then processed into histology slides. Histology findings were correlated with features on OCT. RESULTS: Residual malignancy was seen in 30% of tissue samples. Corresponding OCT images demonstrated that tumor can be differentiated from fibrous stroma, based on features such as irregular boundary, heterogeneous texture and reduced penetration depth. Ductal carcinoma in situ can be subtle, and it is made more recognizable by the presence of comedo necrosis and calcifications. OCT features of benign and malignant breast entities were compiled in a granular but user-friendly reference tool. CONCLUSION: OCT images of fixed breast tissue were of sufficient quality to reproduce features of breast entities previously described in fresh tissue specimens. Our findings support the use of readily available unprocessed, fixed breast specimens for the establishment of an OCT-histopathology library.

piNET-An Automated Proliferation Index Calculator Framework for Ki67 Breast Cancer Images.

In this work, a novel proliferation index (PI) calculator for Ki67 images called piNET is proposed. It is successfully tested on four datasets, from three scanners comprised of patches, tissue microarrays (TMAs) and whole slide images (WSI), representing a diverse multi-centre dataset for evaluating Ki67 quantification. Compared to state-of-the-art methods, piNET consistently performs the best over all datasets with an average PI difference of 5.603%, PI accuracy rate of 86% and correlation coefficient R = 0.927. The success of the system can be attributed to several innovations. Firstly, this tool is built based on deep learning, which can adapt to wide variability of medical images-and it was posed as a detection problem to mimic pathologists' workflow which improves accuracy and efficiency. Secondly, the system is trained purely on tumor cells, which reduces false positives from non-tumor cells without needing the usual pre-requisite tumor segmentation step for Ki67 quantification. Thirdly, the concept of learning background regions through weak supervision is introduced, by providing the system with ideal and non-ideal (artifact) patches that further reduces false positives. Lastly, a novel hotspot analysis is proposed to allow automated methods to score patches from WSI that contain "significant" activity.

Predictors of Outcome in Mammary Adenoid Cystic Carcinoma: A Multi-Institutional Study.

Mammary adenoid cystic carcinoma (ACC) is a rare subtype of breast cancer with a favorable prognosis. Here we report on predictors of outcome based on a detailed morphologic review and analysis of 108 mammary ACC. Sixty-four tumors (59.2%) were pure conventional ACC, 23 (21.3%) were pure basaloid ACC. Follow-up was available for 87 patients (median: 51 mo). Eighteen patients (20.7%) developed recurrence: 7 (8%) had local recurrence and 14 (16%) had distant metastasis. Two patients died of disease, 1 died of an unrelated cause, 14 were alive with disease (including 8 in palliative care), and 70 (80.5%) were alive with no evidence of disease. Of 90 patients with known lymph node (LN) status 9 (10%) had nodal involvement (all with basaloid ACC). Distant metastases in patients with predominantly basaloid ACC compared with pure conventional ACC were more common (40% vs. 7.7%) and occurred earlier (22 vs. 84 mo). The following factors were found to be predictive of recurrence-free survival: positive margin, Nottingham grade, neovascularization, basaloid component, perineural invasion, lymphovascular invasion, >30% solid growth, necrosis and LN involvement; the first 3 remained statistically significant on multivariate analysis. Factors predictive of distant disease-free survival were neovascularization, Nottingham grade, lymphovascular invasion, solid component >50%, LN involvement, basaloid component >50%, tumor necrosis, perineural invasion, and final margin. Only neovascularization remained statistically significant on multivariate analysis. Basaloid ACC is an aggressive variant of mammary ACC with more frequent nodal involvement and higher incidence of distant spread. LN staging should be performed for all mammary basaloid ACC.

Histo-genomics: digital pathology at the forefront of precision medicine.

The toughest challenge OMICs face is that they provide extremely high molecular resolution but poor spatial information. Understanding the cellular/histological context of the overwhelming genetic data is critical for a full understanding of the clinical behavior of a malignant tumor. Digital pathology can add an extra layer of information to help visualize in a spatial and microenvironmental context the molecular information of cancer. Thus, histo-genomics provide a unique chance for data integration. In the era of a precision medicine, a four-dimensional (4D) (temporal/spatial) analysis of cancer aided by digital pathology can be a critical step to understand the evolution/progression of different cancers and consequently tailor individual treatment plans. For instance, the integration of molecular biomarkers expression into a three-dimensional (3D) image of a digitally scanned tumor can offer a better understanding of its subtype, behavior, host immune response and prognosis. Using advanced digital image analysis, a larger spectrum of parameters can be analyzed as potential predictors of clinical behavior. Correlation between morphological features and host immune response can be also performed with therapeutic implications. Radio-histomics, or the interface of radiological images and histology is another emerging exciting field which encompasses the integration of radiological imaging with digital pathological images, genomics, and clinical data to portray a more holistic approach to understating and treating disease. These advances in digital slide scanning are not without technical challenges, which will be addressed carefully in this review with quick peek at its future.

Efficacy of GATA3 Versus BRST2 for the Identification of Metastatic Breast Carcinoma in the Upper GI Tract: Which Performs Better?

Distinguishing primary diffuse-type gastric carcinoma (PDGC) versus gastric involvement by metastatic breast carcinoma (mBC), particularly the lobular subtype, is difficult on histology alone. Both can appear morphologically similar. GATA3, a novel transcription factor, is used in certain scenarios as an immunohistochemical marker of breast origin. Our objective was to investigate the efficacy of GATA3 in differentiating PDGC and mBC and how it compares to another breast marker, BRST2. We retrospectively stained 40 cases of PDGC and 10 control cases of mBC from upper gastrointestinal tract specimens for antibodies: GATA3, BRST2, CDX2, and estrogen receptor. Staining of tumor cells was semiquantified with a modified Allred score. GATA3 and BRST2 were positive in 17.5% and 12.5% of PDGC cases, respectively, and in 100% of mBC cases. Allred scores for GATA3 were significantly greater in mBC cases compared with PDGC (P=0.001). Allred scores were not significantly different for BRST2 due to low levels of staining in mBC cases. Although sensitivity and specificity were similar, differences in staining between PDGC and mBC were more decisive for GATA3 versus BRST2 and thus easier to interpret. In addition, 50% of PDGC cases were positive for CDX2 and none for estrogen receptor. Overall, our results show that GATA3 can reliably and correctly identify cases of mBC to the upper gastrointestinal tract. However, because a minority of PDGC were positive for GATA3, it should still be used within an antibody panel to resolve this diagnostic dilemma.

Mammographic microcalcifications and breast cancer tumorigenesis: a radiologic-pathologic analysis.

BACKGROUND: Microcalcifications (MCs) are tiny deposits of calcium in breast soft tissue. Approximately 30% of early invasive breast cancers have fine, granular MCs detectable on mammography; however, their significance in breast tumorigenesis is controversial. This study had two objectives: (1) to find associations between mammographic MCs and tumor pathology, and (2) to compare the diagnostic value of mammograms and breast biopsies in identifying malignant MCs. METHODS: A retrospective chart review was performed for 937 women treated for breast cancer during 2000-2012 at St. Michael's Hospital. Demographic information (age and menopausal status), tumor pathology (size, histology, grade, nodal status and lymphovascular invasion), hormonal status (ER and PR), HER-2 over-expression and presence of MCs were collected. Chi-square tests were performed for categorical variables and t-tests were performed for continuous variables. All p-values less than 0.05 were considered statistically significant. RESULTS: A total of 937 patient charts were included. About 38.3% of the patients presented with mammographic MCs on routine mammographic screening. Patients were more likely to have MCs if they were HER-2 positive (52.9%; p < 0.001). There was a significant association between MCs and peri-menopausal status with a mean age of 50 (64%; p = 0.012). Patients with invasive ductal carcinomas (40.9%; p = 0.001) were more likely to present with MCs than were patients with other tumor histologies. Patients with a heterogeneous breast density (p = 0.031) and multifocal breast disease (p = 0.044) were more likely to have MCs on mammograms. There was a positive correlation between MCs and tumor grade (p = 0.057), with grade III tumors presenting with the most MCs (41.3%). A total of 52.2% of MCs were missed on mammograms which were visible on pathology (p < 0.001). CONCLUSION: This is the largest study suggesting the appearance of MCs on mammograms is strongly associated with HER-2 over-expression, invasive ductal carcinomas, peri-menopausal status, heterogeneous breast density and multifocal disease.

The clinical utility of miR-21 as a diagnostic and prognostic marker for renal cell carcinoma.

Renal cell carcinoma (RCC) is the most common neoplasm of the kidney. Increasing evidence suggests that microRNAs are dysregulated in RCC and are important factors in RCC pathogenesis. miR-21 is a known oncogene with tumor-promoting effects in many types of cancer. In this study, we analyzed miR-21 in 121 cases of healthy kidney and different RCC subtypes, including clear cell (ccRCC), papillary (pRCC), chromophobe (chRCC), and oncocytoma. Total RNA was extracted, and the expression of miR-21 was measured with real-time quantitative RT-PCR using miR-21-specific probes. The expression of miR-21 was significantly up-regulated in RCC compared with healthy kidney. There was a significant difference in the expression levels between RCC subtypes, with the highest levels of expression in ccRCC and pRCC subtypes. miR-21 expression distinguished ccRCC and pRCC from chRCC and oncocytoma with 90% specificity (95% CI, 63.9% to 98.1%) and 83% sensitivity (95% CI, 53.5% to 97.6%). Significantly higher miR-21 levels were associated with higher stage and grade. Patients who were miR-21 positive had statistically significant shorter disease-free and overall survival rates. Thus, miR-21 is up-regulated in RCC, and its expression levels can be used as a diagnostic marker to distinguish ccRCC and pRCC from chRCC and oncocytoma. Moreover, it has potential as a prognostic marker in RCC, although it is not independent of tumor stage and grade.

P16INK4a expression in undifferentiated carcinoma of the uterus does not exclude its endometrial origin.

Undifferentiated carcinoma of the endometrium is a rare neoplasm, which, when involving the cervix, raises a question about its origin. Diffuse p16 positivity of uterine cancers is usually interpreted as a surrogate marker for high-risk human papilloma virus and favors cervical origin. In this study, we investigated the expression of cytokeratin 7 (CK7), monoclonal carcinoembryonic antigen (mCEA), estrogen receptor (ER), vimentin, and p16 in 28 cases of undifferentiated endometrial carcinoma, 20 high-grade endometrioid adenocarcinomas, and 50 cervical adenocarcinomas. Staining was considered positive when it was cytoplasmic for CK7, mCEA, and vimentin, nuclear for ER, and both nuclear and cytoplasmic for p16. Percentages of cells staining were recorded as follows: negative (0%-5%), 1+ (6%-25%), 2+ (26%-50%), 3+ (51%-75%), and 4+ (>75%). P16 was considered positive if it stained more than 75% of the tumor cells. Diffuse/strongly positive staining for p16 was seen in 40/50 (80%) cases of cervical adenocarcinoma and 14/28 (50%) cases of undifferentiated endometrial carcinoma. In high-grade endometrioid adenocarcinoma, staining was mainly patchy. CK7, mCEA, ER, progesterone receptor, and vimentin staining in undifferentiated endometrial carcinoma was as follows: 10/28 (36%), 4/28 (14%), 21/28 (75%), 23/28 (82%), and 26/28 (93%), respectively; for high-grade endometrioid carcinoma: 20/20 (100%), 1/20 (5%), 17/20 (85%), 18/20 (90%), and 19/20 (95%); for endocervical adenocarcinoma: 50/50 (100%), 45/50 (90%), 9/50 (18%), 8/50 (16%), and 6/50 (12%), respectively. Our data indicate that p16 may play a role in the tumorigenesis of a subset of undifferentiated endometrial carcinoma. In the setting of p16 positivity, undifferentiated endometrial carcinomas are more likely to be ER, progesterone receptor, and vimentin positive and mCEA negative when compared with endocervical adenocarcinomas. Distinction between undifferentiated endometrial carcinoma and endocervical adenocarcinoma, both of which can share diffuse p16 expression, should rely on detection of human papilloma virus in the latter.

Microvascular density as an independent predictor of clinical outcome in renal cell carcinoma: an automated image analysis study.

Tumor microvascular density (MVD) has been shown to correlate with the aggressiveness of several cancers. With the introduction of targeted anti-angiogenic therapy, assessment of MVD has the potential not only as a prognostic but also as a therapeutic marker. The significance of tumor vascularity in clear cell renal cell carcinoma (ccRCC) has been debated, with studies showing contradictory results. Previous studies were limited by manual quantification of MVD within a small area of tumor. Since then, the validity of this method has been questioned. To avoid the inaccuracies of manual quantification, we employed a computerized image analysis, which allowed assessment of large areas of tumor and adjacent normal tissue. The latter was used as an internal reference for normalization. MVD and vascular endothelial growth factor (VEGF) were assessed in 57 cases of ccRCC. Sections were immunostained for CD34 and VEGF. Areas of ccRCC and normal kidney medulla were analyzed within scanned images using software that counted CD34-positive vessels and measured the intensity of VEGF staining. We obtained unadjusted values from tumoral areas and calculated adjusted values as tumor/normal ratios. Unadjusted MVD had no association with clinical outcome. However, similarly to tumor stage, higher adjusted MVD was associated with shorter disease-free survival (log-rank P=0.037, Cox P=0.02). This was significant in univariate and multivariate analyses. MVD did not correlate with tumor stage, pointing to its independent prognostic value. As expected due to the known molecular abnormalities in ccRCC, most tumors showed higher VEGF expression than normal tissue. Higher adjusted VEGF was associated with high tumor grade (P=0.049). The finding of increased MVD as an independent marker of tumor aggressiveness may prove useful in the development of new tests for prognostic and therapeutic guidance. Digital techniques can provide more accurate assessment of immunomarkers and may reveal less obvious associations.

Exploring the role of miRNAs in renal cell carcinoma progression and metastasis through bioinformatic and experimental analyses.

Metastasis results in most of the cancer deaths in clear cell renal cell carcinoma (ccRCC). MicroRNAs (miRNAs) regulate many important cell functions and play important roles in tumor development, metastasis and progression. In our previous study, we identified a miRNA signature for metastatic RCC. In this study, we validated the top differentially expressed miRNAs on matched primary and metastatic ccRCC pairs by quantitative polymerase chain reaction. We performed bioinformatics analyses including target prediction and combinatorial analysis of previously reported miRNAs involved in tumour progression and metastasis. We also examined the co-expression of the miRNAs clusters and compared expression of intronic miRNAs and their host genes. We observed significant dysregulation between primary and metastatic tumours from the same patient. This indicates that, at least in part, the metastatic signature develops gradually during tumour progression. We identified metastasis-dysregulated miRNAs that can target a number of genes previously found to be involved in metastasis of kidney cancer as well as other malignancies. In addition, we found a negative correlation of expression of miR-126 and its target vascular endothelial growth factor (VEGF)-A. Cluster analysis showed that members of the same miRNA cluster follow the same expression pattern, suggesting the presence of a locus control regulation. We also observed a positive correlation of expression between intronic miRNAs and their host genes, thus revealing another potential control mechanism for miRNAs. Many of the significantly dysregulated miRNAs in metastatic ccRCC are highly conserved among species. Our analysis suggests that miRNAs are involved in ccRCC metastasis and may represent potential biomarkers.

Assessment of the prognostic significance of endoglin (CD105) in clear cell renal cell carcinoma using automated image analysis.

The behavior of clear cell renal cell carcinoma can be difficult to predict. Angiogenesis has proven to be a useful prognostic indicator in different malignancies. Endoglin (CD105) is a new marker of angiogenesis found to have prognostic utility in various tumors. Here, we provide the first automated digital assessment of intratumoral microvascular density in clear cell renal cell carcinoma using endoglin and CD31 and assess their utility as predictors of clinical outcome. Both endoglin and CD31 expression showed association with advanced tumor stage (P = .025 and P = .011, respectively). There was a significant correlation between CD31 and tumor grade (P = .034). Kaplan-Meier survival curves showed that patients with higher endoglin expression had significantly shorter progression-free survival (P = .010). Patients with higher CD31 expression tended to have a worse prognosis, although this was not statistically significant (P = .082). In univariate analysis using endoglin as a continuous variable, increased endoglin was strongly associated with reduced survival (hazard ratio, 1.74; 95% CI, 1.39-2.18; P = <.001). CD31 also correlated with poor outcomes (hazard ratio, 1.52; 95% CI, 1.24-1.86; P = .001). There was no correlation between CD31 and endoglin expression (r = -0.090, P = .541). Receiver operating characteristic analysis showed the area under the curve to be 0.749 for endoglin and 0.550 for CD31. In conclusion, increased endoglin and CD31 expression are associated with a higher tumor stage and decreased progression-free survival. Our automated approach overcomes many limitations of manual quantification. Advances in digital assessment of immunohistochemical markers can be helpful in standardizing the evaluation of tumor biomarkers.

Immunohistochemical staining for smoothelin in the duplicated versus the true muscularis mucosae of Barrett esophagus.

BACKGROUND: The muscularis mucosa underlying the metaplastic mucosa of Barrett esophagus is frequently duplicated, with an intervening layer of lamina propria between the superficial or neomuscularis mucosa (NMM) and the deep/true muscularis mucosa (TMM). This duplication causes difficulties with accurate staging of superficially invasive carcinoma in biopsy specimens and endoscopic mucosal resections (EMRs), as invasion underneath the superficial muscle layers may be mistaken for submucosal invasion. Mucosal resections or other ablative nonsurgical therapies can be curative in patients with esophageal intramucosal carcinoma, whereas patients with submucosal invasion are recommended for esophagectomy. Therefore, the accurate staging of such specimens is crucial. Smoothelin is a novel smooth muscle protein expressed only by fully differentiated smooth muscle cells and not by proliferative or noncontractile smooth muscle cells and fibroblasts. It has been suggested that in the bladder, immunohistochemistry for smoothelin may help separate hyperplastic muscularis mucosa from the true muscularis propria. We hypothesized that in the esophagus, immunohistochemistry for smoothelin would differentiate the NMM from the TMM. DESIGN: Thirty cases of EMRs for Barrett esophagus-related neoplasia were retrieved from the archives of the pathology department, St Michael's Hospital. Immunohistochemical staining for smoothelin was performed to evaluate differential staining in the TMM versus NMM. Fifteen cases were stained for smooth muscle actin and smooth muscle myosin. The staining score was evaluated on a scale from 0 to 3 according to the percentage and intensity of staining. RESULTS: Immunohistochemical staining results for smoothelin were as follows: the NMM showed weak focal staining (+1) in 23 of 30 cases (82%), and moderate staining (+2) in 7 of 30 cases (12%), and the TMM showed very strong and diffuse staining (+3) in 30 of 30 cases. No cases showed negative (0) staining in the NMM. With smooth muscle actin and myosin, strong and diffuse staining was observed with similar intensity in both the TMM and NMM in 15 of 15 cases. CONCLUSIONS: In our study, smoothelin staining in the NMM is significantly weaker than that seen in the true/deep muscularis mucosa. This pattern is similar to that reported for the muscularis mucosae of the urinary bladder. Although smoothelin can readily distinguish the 2 layers, its value might be limited by the need to simultaneously compare the 2 layers. Although this might be of use in EMR specimens in which both layers are visible, use in biopsies may be limited as the residual staining in the NMM may inhibit definitive evaluation. This issue may be resolved by the use of appropriate standard controls, individual optimization of the antibody, and the use of an automated digital assessment.

The significance of florid giant cell component in renal cell carcinoma: a case report and review of the literature.

BACKGROUND: Renal cell carcinoma (RCC) with multinucleated giant cells has been reported in the literature. Different types of multinucleated giant cells have been described, including the osteoclast-like giant cells, rhabdoid cells, syncytial giant cells and tumor multinucleated giant cells. RESULTS: We describe a unique case of a clear cell RCC with extensive giant cell component. Tumor giant cells were arranged in an alveolar pattern and formed more than 50% of the tumor. The rest of the tumor was a classic clear cell renal cell carcinoma. A rhabdoid component was also focally seen. The immunohistochemical profile of the giant cells showed positivity for RCC, vimentin and, very focal positivity for cytokeratins, and negatively for CD68. A traditional spindle cell sarcomatoid component was not seen. The patient had advanced disease at presentation with metastasis to peri-aortic lymph nodes. CONCLUSION: Giant cells can rarely constitute a major component of renal cell carcinoma and it is not clear if these represent a sarcomatoid component or merely a higher grade of the epithelial component. These cells may have different immunohistochemical profiles in different cases and may therefore be of different derivation. This may necessitate the revision of current classification schemes for renal cell carcinoma. It is also not clear how the presence of the various types of giant cells in renal cell carcinoma and their amount affects the clinical outcome.

Olfactory neuroblastoma: a review and update.

Olfactory neuroblastoma (ONB) is a malignant neuroectodermal tumor that typically occurs in the superior nasal cavity. It is a distinct entity with features that include nesting, low-grade stippled nuclei, and neurofibrillary stroma with formation of pseudorosettes. It has a distinctive immunoprofile that includes keratin negativity, neuroendocrine marker positivity, and S100 positive sustentacular cells, which surround the nests of tumor in a supportive manner. Although the typical clinicopathologic features leave little room for misinterpretation, the wide variability in this tumor may cause diagnostic difficulty. This includes immunophenotypic diversity or patchy staining with immunomarkers, wide spectrum of grade and histology, posttreatment changes, and occasional divergent differentiation. In addition, problems in sampling, preservation, and clinical localization may make the diagnosis more challenging. A large group of tumors may show morphologic overlap with ONB, with some mimicking low-grade tumors, whereas others mimic high-grade tumors. This differential diagnosis has important treatment and prognostic implications. Further complicating the issue is that many of the mimics themselves may show great morphologic and immunophenotypic variability. This manuscript will review the typical clinical and pathologic features of ONB, address the great variability of ONB in our experience, will focus on the differential diagnosis and report on recent findings in these tumors including molecular genetics where applicable.