Chromophobe renal cell carcinoma showing oncocytoma-like hyalinized and edematous stroma: A case report and review of the literature

Hyalinized stroma is a characteristic feature of pancreatic intraductal oncocytic papillary neoplasm: An immunohistochemical study

Hyalinized stroma (HS) is a dense, eosinophilic, and amorphous extracellular material in the stroma. HS is observed in several tumors; however, it has not been comprehensively studied in pancreatic intraductal papillary mucinous neoplasm (IPMN) or intraductal oncocytic papillary neoplasm (IOPN). Here, we aimed to evaluate the immunohistochemical and microscopic characteristics of HS in IPMN and IOPN. The prevalence of HS was determined in 168 cases of IPMN, including intestinal type (IPMN-I), gastric type (IPMN-G), and pancreatobiliary type (IPMN-PB), as well as in 11 cases of IOPN. Immunohistochemical staining for laminin and collagen (types I, II, III, IV, and V), as well as Congo red staining were performed in IPMN and IOPN cases containing HS. The prevalence of HS among the IPMN and IOPN specimens was 1.2% (2/168 cases) and 45.5% (5/11 cases), respectively. The prevalence rates of HS in each IPMN subtype were as follows: 2.2% (2/91 cases) in IPMN-G, and 0% in IPMN-PB and IPMN-I. All seven HS cases were positive for collagen I, III, IV, and V but were negative for Congo red staining. Most cases showed negative, focal, or weak expression of laminin and type II collagen. These findings indicate that HS is associated with IOPN and is primarily composed of collagen fibers.

Histological image classification using biologically interpretable shape-based features

BACKGROUND

Automatic cancer diagnostic systems based on histological image classification are important for improving therapeutic decisions. Previous studies propose textural and morphological features for such systems. These features capture patterns in histological images that are useful for both cancer grading and subtyping. However, because many of these features lack a clear biological interpretation, pathologists may be reluctant to adopt these features for clinical diagnosis.

METHODS

We examine the utility of biologically interpretable shape-based features for classification of histological renal tumor images. Using Fourier shape descriptors, we extract shape-based features that capture the distribution of stain-enhanced cellular and tissue structures in each image and evaluate these features using a multi-class prediction model. We compare the predictive performance of the shape-based diagnostic model to that of traditional models, i.e., using textural, morphological and topological features.

RESULTS

The shape-based model, with an average accuracy of 77%, outperforms or complements traditional models. We identify the most informative shapes for each renal tumor subtype from the top-selected features. Results suggest that these shapes are not only accurate diagnostic features, but also correlate with known biological characteristics of renal tumors.

CONCLUSIONS

Shape-based analysis of histological renal tumor images accurately classifies disease subtypes and reveals biologically insightful discriminatory features. This method for shape-based analysis can be extended to other histological datasets to aid pathologists in diagnostic and therapeutic decisions.

Claudin-7 and claudin-8: immunohistochemical markers for the differential diagnosis of chromophobe renal cell carcinoma and renal oncocytoma

Claudin-7 and claudin-8 code for tight junction proteins expressed in distal nephron epithelium. In a recent oligonucleotide microarray study, we identified claudin-7 and claudin-8 as candidate markers to distinguish chromophobe renal cell carcinoma from other renal tumors, including oncocytoma. Distinction of these lesions can be difficult by light microscopy but is clinically important because chromophobe renal cell carcinoma has malignant biological potential, whereas renal oncocytoma is benign. Claudin-7 and claudin-8 expression was studied by immunohistochemistry in 11 chromophobe renal cell carcinomas and 17 oncocytomas using formalin-fixed paraffin-embedded tissue sections of tumor with adjacent nonneoplastic kidney. Steam antigen retrieval was performed before immunohistochemistry. Specificity was verified by negative control reactions without primary antibody and appropriate membranous staining patterns in positive control tissues (colon carcinoma and adjacent nonneoplastic kidney). Claudin-7 protein was expressed in a membranous pattern in 10 of 11 chromophobe renal cell carcinomas and 4 of 17 oncocytomas (P < .01). Claudin-8 was expressed in multiple patterns: In oncocytoma, 11 of 17 cases showed cytoplasmic, 4 of 17 membranous, and 2 of 17 negative reactions. In chromophobe renal cell carcinoma, 0 of 11 cases showed cytoplasmic, 3 of 11 membranous, and 8 of 11 negative reactions (P < .01). The immunohistochemical pattern of membranous claudin-7 and negative claudin-8 was seen in 7 of 11 chromophobe renal cell carcinomas and 1 of 17 oncocytomas (63% sensitivity, 84% specificity, 88% positive predictive value for chromophobe renal cell carcinoma). Negative claudin-7 and cytoplasmic claudin-8 were observed in 10 of 17 oncocytomas and 0 of 11 chromophobe renal cell carcinomas (59% sensitivity, 100% specificity and positive predictive value for oncocytoma). The distal nephron proteins claudin-7 and claudin-8 have potential use as immunohistochemical biomarkers in the differential diagnosis of chromophobe renal cell carcinoma and oncocytoma. Expression of claudin-7 and claudin-8 may reflect the relationship of chromophobe renal cell carcinoma and oncocytoma to intercalated cells of the cortical collecting duct. It may be necessary to identify additional biomarkers to include with claudin-7 and claudin-8 in a larger immunohistochemical panel to improve diagnostic sensitivity and specificity.