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Simple Summary A reliable method for a fast diagnosis of non-small cell lung cancer (NSCLC) would greatly help in improving therapeutic success in personalized medicine approaches. Thus, in the present study, a new idea was proposed: a morphological single-cell analysis approach combined with a microfluidic device for liquid biopsy. The investigation of the NSCLC sample at different culturing times created the possibility of understanding the evolution of different cell types and their morphological changes, making the Circulating Tumour Cells (CTC) predominance against all other cell classes visible. Abstract Background: To date, in personalized medicine approaches, single-cell analyses such as circulating tumour cells (CTC) are able to reveal small structural cell modifications, and therefore can retrieve several biophysical cell properties, such as the cell dimension, the dimensional relationship between the nucleus and the cytoplasm and the optical density of cellular sub-compartments. On this basis, we present in this study a new morphological measurement approach for the detection of vital CTC from pleural washing in individual non-small cell lung cancer (NSCLC) patients. Materials and methods: After a diagnosis of pulmonary malignancy, pleural washing was collected from nine NSCLC patients. The collected samples were processed with a density gradient separation process. Light scattering analysis was performed on a single cell. The results of this analysis were used to obtain the cell’s biophysical pattern and, later on, as basis for Machine Learning (ML) on unknown samples. Results: Morphological single-cell analysis followed by ML show a predictive picture for an NSCLC patient, screening that it is possible to distinguish CTC from other cells. Moreover, we find that the proposed measurement approach was fast, reliable, label-free, identifying and count CTC in a biological fluid. Conclusions: Our findings demonstrate that CTC Biophysical Profile by Pure Light Scattering in NSCLC could be used as a promising diagnostic candidate in NSCLC patients.

Abstract: Breast cancer, even today, can cause death. Therefore, prevention and early detection are fundamental factors. The mechanisms that favour it are genetic and epigenetic, and seem to play a significant role; also, the microbiota can change estrogen levels and can induce chronic inflammation in the neoplastic site, alternating the balance between proliferation and cell death. Activated steroid hormone receptors induce transcription of genes that encode for proteins involved in cell proliferation and activate another transduction pathway, inducing cell cycle progression and cell migration. These important studies have allowed to develop therapies with selective modulators of estrogen receptors (SERMs), able to block their proliferative and pro-tumorigenic action. Of fundamental importance is also the role played by the microbiota in regulating the metabolism of estrogens and their levels in the blood. There are microbial populations that are able to promote the development of breast cancer, through the production of enzymes responsible for the deconjugation of estrogens, the increase of these in the intestine, subsequent circulation and migration to other locations, such as the udder. Other microbial populations are, instead, able to synthesize estrogen compounds or mimic estrogenic action, and interfere with the metabolism of drugs, affecting the outcome of therapies. The microbial composition of the intestine and hormonal metabolism depend largely on eating habits; the consumption of fats and proteins favours the increase of estrogen in the blood, unlike a diet rich in fiber. Therefore, in-depth knowledge of the microbiota present in the intestine-breast axis could, in the future, encourage the development of new diagnostic and therapeutic approaches to breast cancers.