Homotypic Entosis as a Potential Novel Diagnostic Marker in Breast Cancer.
Ireneusz DziubaAgata M GawelPaweł TyrnaJędrzej MachtylMonika OlszaneckaAndrzej PawlikCezary WójcikLukasz P BialyIzabela Mlynarczuk-BialyPublished in: International journal of molecular sciences (2023)
Homotypic entotic figures, which are a form of "cell-in-cell" structures, are considered a potential novel independent prognostic marker in various cancers. Nevertheless, the knowledge concerning the biological role of this phenomenon is still unclear. Since breast cancer cells are remarkably entosis-competent, we aimed to investigate and compare the frequency of entoses in a primary breast tumor and in its lymph node metastasis. Moreover, as there are limited data on defined molecular markers of entosis, we investigated entosis in correlation with classical breast cancer biomarkers used in routine pathomorphological diagnostics (HER2, ER, PR, and Ki67). In the study, a cohort of entosis-positive breast cancer samples paired into primary lesions and lymph node metastases was used. The inclusion criteria were a diagnosis of NOS cancer, lymph node metastases, the presence of entotic figures in the primary lesion, and/or lymph node metastases. In a selected, double-negative, HER2-positive NOS breast cancer case, entoses were characterized by a correlation between an epithelial-mesenchymal transition and proliferation markers. We observed that in the investigated cohort entotic figures were positively correlated with Ki67 and HER2, but not with ER or PR markers. Moreover, for the first time, we identified Ki67-positive mitotic inner entotic cells in clinical carcinoma samples. Our study performed on primary and secondary breast cancer specimens indicated that entotic figures, when examined by routine HE histological staining, present potential diagnostic value, since they correlate with two classical prognostic factors of breast cancer.
Keyphrases
- lymph node
- neoadjuvant chemotherapy
- lymph node metastasis
- prognostic factors
- breast cancer cells
- papillary thyroid
- epithelial mesenchymal transition
- positive breast cancer
- single cell
- healthcare
- induced apoptosis
- clinical practice
- cell therapy
- risk assessment
- cell death
- human health
- atomic force microscopy
- childhood cancer
- transforming growth factor
- machine learning
- signaling pathway
- nitric oxide
- high resolution
- endoplasmic reticulum stress
- artificial intelligence
- mass spectrometry
- endoplasmic reticulum
- deep learning
- climate change
- mesenchymal stem cells