Cutaneous spindle cell squamous carcinoma is an uncommon variant of squamous cell carcinoma in which keratinocytes infiltrate the dermis as single cells with elongated nuclei rather than as cohesive nests or islands, and signs of keratinization of conventional squamous cell carcinoma are insubstantial or nonexistent. Spindle cell carcinoma must be distinguished from spindle cell/desmoplastic melanoma, cutaneous leiomyosarcoma, atypical fibroxanthoma (AFX), and scar. In instances when there is no definitive evidence of squamous differentiation, immunohistochemical studies may confer diagnostic discrimination. Twenty-four cases consisting of 12 spindle cell squamous cell carcinomas, 3 AFXs, 3 leiomyosarcomas, 3 desmoplastic melanomas, and 3 scars were evaluated with a battery of immunohistochemical stains, with the specificity and sensitivity of each marker calculated. The immunohistochemical battery consisted of S-100, desmin, CD68, and smooth muscle actin and cytokeratins P KER (keratins predominantly of molecular weight 56 and 69 kd) and low-molecular weight keratin (CAM 5.2), AE1/AE3, p63, and 34 beta E12 (CK903). Spindle cell squamous carcinomas were negative for S-100, CD68, smooth muscle actin, and desmin with the exception of 2 cases with weak staining for smooth muscle actin. 34 beta E12 provided positive results for each spindle cell squamous carcinoma. The other cytokeratin stains were less sensitive for spindle cell squamous carcinoma than 34 beta E12. The final immunohistochemical results were as follows: 34 beta E12 (12/12, 100%), p63 (10/12, 80%), AE1/AE3 (8/12, 67%), low-molecular weight keratin (7/12, 58%), and P KER (4/12, 33%). The 3 AFXs were positive for CD68 and negative for all other stains, whereas the 3 leiomyosarcomas stained positively for desmin and smooth muscle actin and negatively for all other stains. The 3 melanomas stained positively for S-100 and negatively for all other immunohistochemistry. The scars were negative for all stains. In conclusion, our study of 34 beta E12 proved most promising in distinguishing spindle cell squamous carcinoma from the histologic mimickers, AFX, spindle cell melanoma, scar, and leiomyosarcoma.

Background:Estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor-2 (HER2) are important and well-established prognostic and predictive biomarkers for breast cancers and routinely tested on patient’s tumor samples by immunohistochemical (IHC) study. The accuracy of these test results has substantial impact on patient management. A critical factor that contributes to the result is the interpretation (scoring) of IHC. This study investigates how computerized image analysis can play a role in a reliable scoring, and identifies potential pitfalls with common methods.Materials and Methods:Whole slide images of 33 invasive ductal carcinoma (IDC) (10 ER and 23 HER2) were scored by pathologist under the light microscope and confirmed by another pathologist. The HER2 results were additionally confirmed by fluorescence in situ hybridization (FISH). The scoring criteria were adherent to the guidelines recommended by the American Society of Clinical Oncology/College of American Pathologists. Whole slide stains were then scored by commercially available image analysis algorithms from Definiens (Munich, Germany) and Aperio Technologies (Vista, CA, USA). Each algorithm was modified specifically for each marker and tissue. The results were compared with the semi-quantitative manual scoring, which was considered the gold standard in this study.Results:For HER2 positive group, each algorithm scored 23/23 cases within the range established by the pathologist. For ER, both algorithms scored 10/10 cases within range. The performance of each algorithm varies somewhat from the percentage of staining as compared to the pathologist’s reading.Conclusions:Commercially available computerized image analysis can be useful in the evaluation of ER and HER2 IHC results. In order to achieve accurate results either manual pathologist region selection is necessary, or an automated region selection tool must be employed. Specificity can also be gained when strict quality assurance by a pathologist is invested. Quality assurance of image analysis by pathologists is always warranted. Automated image analysis should only be used as adjunct to pathologist’s evaluation.

Squamous cell carcinoma with rhabdoid features (SCCRF) is a very rare and unusual cutaneous tumor. Here, we report an extraordinary case diagnosed by fine needle aspiration biopsy, in a 66-year-old man, status post multiple organ transplantation. The patient presented with a large ulcerating fungating mass in his forearm that had all the light microscopic and immunohistochemical features of a SCCRF. Previously six cases of SCCRF phenotype diagnosed by surgical pathology have been reported. This is the first case diagnosed cytologically. A review of the literature with emphasis on the differential diagnoses of such unusual rhabdoid-like tumors in fine-needle aspiration biopsy and the potential molecular mechanism for rhabdoid phenotype in transplant patients are discussed.

Osteoclast-rich undifferentiated carcinoma of urinary bladder (ORUCUB) is a very rare and an unusual variant of high-grade urothelial carcinoma. Here, we report an extraordinary case of metastatic ORUCUB, diagnosed by fine needle aspiration (FNA) biopsy, in a 74-year-old Hispanic male who presented with a palpable, tender left groin mass and a known previous history of high-grade carcinoma of urinary bladder and prostatic cancer. To the best of our knowledge, diagnosis of ORUCUB by FNA is the first case report in FNA cytology to be published to date. A review of the literature is emphasized on the cytological, histological and immunohistochemical features and differential diagnoses of giant cell tumor.