[When a metastasis hides another]. / Quand une métastase en cache une autre.

Breast cancer is one of the leading causes of death in women. There are many different entities, both morphologically and immuno-histochemically or genomically. Intra-tumour heterogeneity can be defined in time (temporal heterogeneity) and in space (spatial heterogeneity) and is influenced by both internal and external factors, such as genetics, epigenetics, host response, possible treatments or the tumour microenvironment. The detailed analysis of these multiple interactions could help to develop new therapeutic targets.

Le cancer du sein est l'une des premières causes de décès chez les femmes. Il existe de nombreuses entités différentes, tant sur le plan morphologique que sur le plan immuno-histochimique ou encore génomique. L'hétérogénéité intra-tumorale peut être définie dans le temps (hétérogénéité temporelle) et dans l'espace (hétérogénéité spatiale) et influencée par des facteurs tant internes qu'externes tels que la génétique, l'épigénétique, la réponse de l'hôte, les éventuels traitements administrés, ou encore le micro-environnement tumoral. L'analyse approfondie de ces multiples interactions pourrait aider à développer de nouvelles cibles thérapeutiques.

Predictive markers for pathological complete response after neo-adjuvant chemotherapy in triple-negative breast cancer.

A combination of Sox10 and GATA3 was previously identified as a marker for metastatic triple-negative breast cancer (TNBC), but it is uncertain whether their expression is associated with pathological complete response (pCR) after neoadjuvant chemotherapy (NAC). This study investigates the predictive value of clinicopathological characteristics, as well as protein expression of Sox10, GATA3, p53 and p63, in a consecutive series of TNBC patients treated with NAC. Archived hematoxylin & eosin stained slides of core biopsies and resection specimens from 35 TNBC patients were reviewed. The following clinicopathological characteristics were determined at the biopsy level: age at diagnosis, cancer type, Nottingham grade, lympho-vascular invasion, syncytial growth, necrosis, clear cell differentiation, myxoid peritumor stroma, stromal tumor-infiltrating lymphocytes (sTILs) and presence of an in situ component. The MD Anderson residual cancer burden (RCB) score and corresponding RCB class were determined. Immunohistochemistry for Sox10, p53, GATA3 and p63 was performed at the biopsy level. sTILs, either as a continuous or as a dichotomous variable, were the only parameter that was significantly associated with pCR in univariable and multivariable analyses. Assessment of sTILs showed moderate to good interobserver agreement. High sTILs (≥40%) were significantly associated with increased pCR rates, and this association was observer-independent. This retrospective study of a consecutive community-based cohort of TNBC patients confirms that sTILs are a robust, observer-independent predictor for therapeutic response after NAC. The combination of Sox10, GATA3 and p53 immunoreactivity is unlikely to harbor any predictive value for pCR in TNBC.

Immunohistochemical sweat gland profiles.

BACKGROUND: Human sweat glands are heterogeneous in their structures and functions. Accordingly, eccrine, apocrine, and apoeccrine glands are distinguished. AIMS: Some immunohistochemical markers are expected to distinguish the sweat gland types in their secretory and excretory parts. METHODS: This study used two sets of antibodies. The first panel was composed of antibodies directed to well-defined sweat gland structures. The molecular targets included the low-molecular-weight cytokeratins CAM 5.2, the S100-B protein, the epithelial membrane antigen (EMA), the carcinoembryonic antigen (CEA), and the lectin Ulex europaeus agglutinin-1 (UEA-1). A second exploratory panel of antibodies targeted syndecan-1 (CD138), NKI-C3 (CD63), and CD68. They were used to disclose some undescribed antigen expressions in human sweat glands. RESULTS: The first set of antibodies confirmed previous findings. The immunoreactivities of the three sweat gland types were similar in the excretory ducts. By contrast, they were distinguished in the deeper coiled secretory portions of the glands. CONCLUSION: Clues supporting their distinction and probably their functional activity were obtained by immunohistochemistry using the S100-B protein, CEA and CD63 antibodies. The immunoreactivity to the S100-B protein, CEA and CD63 possibly help identifying apoeccrine sweat glands or a peculiar functional activity of eccrine sweat glands.

Sweaty skin, background and assessments.

Overproduction of sweat, sweaty skin, and body malodors are felt unpleasant by many people in diverse social groups. This review summarizes the functional aspects of the eccrine, apocrine, and apoeccrine sweat glands as encountered in health and disease. A series of measuring methods are conveniently used to explore any trouble in sweat production. These include the gravimetric method, water evaporation quantification, skin staining procedures, dye injections, casting replicas, average electrometric assessments, and skin capacitance mapping / imaging (SCM). Qualitative assessment is provided by collection of sweat and volatile compounds followed by chromatographic analysis. At present, SCM appears to be the most valuable method for assessing the number of active glands and their individual sweat production by the eccrine and apoeccrine glands.

Thigmotropism of malignant melanoma cells.

During malignant melanoma (MM) progression including incipient metastasis, neoplastic cells follow some specific migration paths inside the skin. In particular, they progress along the dermoepidermal basement membrane, the hair follicles, the sweat gland apparatus, nerves, and the near perivascular space. These features evoke the thigmotropism phenomenon defined as a contact-sensing growth of cells. This process is likely connected to modulation in cell tensegrity (control of the cell shape). These specifically located paucicellular aggregates of MM cells do not appear to be involved in the tumorigenic growth phase, but rather they participate in the so-called "accretive" growth model. These MM cell collections are often part of the primary neoplasm, but they may, however, correspond to MM micrometastases and predict further local overt metastasis spread.