The knowledge of the status of axillary lymph nodes (LN) of patients with breast cancer is a fundamental prerequisite in the therapeutic decision. In the present work, we evaluated the impact of fine-needle aspiration cytology (FNAC) of ultrasonographically (US) selected axillary LN in the diagnosis of LN metastases and subsequently in the treatment of patients with breast cancer. Axillary US was performed in 298 patients with diagnosed breast cancer (267 invasive carcinomas and 31 ductal carcinoma in situ DCIS), and in 95 patients it was followed by FNAC of US suspicious LN. Smears were examined by routine cytological staining. Cases of uncertain diagnosis were stained in immunocytochemistry (ICC) with a combination of anticytokeratin and anti-HMFG2 antibodies. Eighty-five FNAC were informative (49 LN were positive for metastases, 36 were negative). In 49 of 267 patients with invasive breast carcinoma (18%), a preoperative diagnosis of metastatic LN in the axilla could be confirmed. These patients could proceed directly to axillary dissection. In addition, US-guided FNAC presurgically scored 49 out of 88 (55%) metastatic LN. Of all others, with nonsuspicious LN on US (203 cases including 31 DCIS), in which no FNAC examination was performed, 28 invasive carcinomas (16%) turned out to be LN positive on histological examination. Based on these data, US examination should be performed in all patients with breast cancer adding ICC-supported FNAC only on US-suspect LN. This presurgical protocol is reliable for screening patients with LN metastases that should proceed directly to axillary dissection or adjuvant chemotherapy, thus avoiding sentinel lymph node biopsy.
: Intrasinusoidal infiltration (ISI) is a pattern of invasion that is rarely found on bone marrow (BM) biopsies, and is considered as a hallmark of splenic marginal zone cell lymphoma (SMZL). We analysed BM biopsies showing intrasinusoidal infiltration from 54 consecutive patients with different types of lymphoma to verify if ISI quantity was a diagnostic criterion for SMZL. There were 35 primary splenic lymphoma (PSL) and 19 non‐PSL; 28 SMZL, three non‐splenic MZL, six mantle cell, six small lymphocytic, four follicular, four diffuse large B cell, one peripheral T cell, one lymphoplasmacytic and one anaplastic large‐cell lymphoma. The quantity of BM infiltrate was assessed on CD45, CD20 and CD3 stained sections. The mean percentage of total (TI) and intrasinusoidal (ISI) lymphocytes was calculated in 10 areas for each case. TI quantity was 21.57 in PSL and 35.05 in non‐PSL (P = 0.04). ISI quantity was 5.23 in PSL and 7.62 in non‐PSL (P = 0.08), 5.83 in SMZL and 2.83 in other types of PSL (P = 0.12), 4.46 in non‐splenic MZL and 8.21 in other types of non‐PSL (P = 0.28). No difference in ISI quantity was found among the lymphoma subtypes, either in PSL (P = 0.74) or non‐PSL (P = 0.3). The data demonstrate that ISI quantity in BM biopsies is not a reliable diagnostic parameter for SMZL.
We report a unique case of prostatic duct carcinoma (PDC) featuring both prostatic duct adenocarcinoma (PDA) and high-grade urothelial carcinoma (HG-UC). An 84-year-old man presenting with hematuria showed at ultrasonography and cystoscopy a papillary neoplasia located near to the verumontanum. Histopathologic examination of specimens from transurethral resection revealed a tumor originating from large prostatic ducts showing 2 different components: PDA with endometrioid features (main pattern) and HG-UC (minor part). Immunohistochemically, the areas of PDA were positive for prostatic acid phosphatase (PAP), prostatic specific antigen (PSA), and androgen receptors (AR), while negative for estrogen (ER) and progesterone receptors (PGR). Prognostic factors evaluation pointed out a low proliferation index (10%) and focal expression of p53 (6%); c-erb-B2 was not overexpressed. The HG-UC areas were negative for all previous markers, while positive for thromobomodulin. The proliferation index was high (60%), and p53 was diffusely expressed (55%). The incidence and significance of PDC with combined features is discussed with reference to literature data.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.