Comparison of the Genomic Profile of Cancer Stem Cells and Their Non-Stem Counterpart: The Case of Ovarian Cancer

Defining the Role of Metastasis-Initiating Cells in Promoting Carcinogenesis in Ovarian Cancer

Ovarian cancer is the deadliest gynecological malignancy with a high prevalence of transcoelomic metastasis. Metastasis is a multi-step process and only a small percentage of cancer cells, metastasis-initiating cells (MICs), have the capacity to finally establish metastatic lesions. These MICs maintain a certain level of stemness that allows them to differentiate into other cell types with distinct transcriptomic profiles and swiftly adapt to external stresses. Furthermore, they can coordinate with the microenvironment, through reciprocal interactions, to invade and establish metastases. Therefore, identifying, characterizing, and targeting MICs is a promising strategy to counter the spread of ovarian cancer. In this review, we provided an overview of OC MICs in the context of characterization, identification through cell surface markers, and their interactions with the metastatic niche to promote metastatic colonization.

A shared origin from a common ancestor: A case report of two histologically different tumors

The origin of tumors has been under discussion over the years. Different theories have been suggested to explain this phenomenon. Among them, the Cancer-Stem Cells model, is one of the most outstanding. In this study, we reported a case of a 72-year-old man who presented two histologically different tumors with a 7-years gap, a Penile Squamous Cell Carcinoma and a Pleomorphic Undifferentiated Sarcoma, that share some molecular features. Phonotypical differences were showed and confirmed at histological and IHC levels. Molecular analysis showed an HPV infection in the carcinoma. Additionally, sequencing results revealed common (CDKN2A and TERT) and exclusive (FBXW7 and TP53) genetic alterations in both tumors (Table 1). The possible germline origin of common mutations was discarded after negative germline testing. Here we describe, for the first time a clinical case of a possible origin of two histologically different tumors from a common ancestor based on molecular data. Even if different hypothesis appear as possible, the Cancer Stem Cell-based model appears as the most suitable.

Peritoneal dissemination of high-grade serous ovarian cancer: pivotal roles of chromosomal instability and epigenetic dynamics

Epithelial ovarian cancer remains the lethal gynecological malignancy in women. The representative histotype is high-grade serous carcinoma (HGSC), and most patients with HGSC present at advanced stages with peritoneal dissemination. Since the peritoneal dissemination is the most important factor for poor prognosis of the patients, complete exploration for its molecular mechanisms is mandatory. In this narrative review, being based on the clinical, pathologic, and genomic findings of HGSC, chromosomal instability and epigenetic dynamics have been discussed as the potential drivers for cancer development in the fallopian tube, acquisition of cancer stem cell (CSC)-like properties, and peritoneal metastasis of HGSC. The natural history of carcinogenesis with clonal evolution, and adaptation to microenvironment of peritoneal dissemination of HGSC should be targeted in the novel development of strategies for prevention, early detection, and precision treatment for patients with HGSC.

Cancer Stem Cell DNA Enabled Real-Time Genotyping with Self-Functionalized Quantum Superstructures-Overcoming the Barriers of Noninvasive cfDNA Cancer Diagnostics

Cancer diagnosis and determining its tissue of origin are crucial for clinical implementation of personalized medicine. Conventional diagnostic techniques such as imaging and tissue biopsy are unable to capture the dynamic tumor landscape. Although circulating tumor DNA (ctDNA) shows promise for diagnosis, the clinical relevance of ctDNA remains largely undetermined due to several biological and technical complexities. Here, cancer stem cell-ctDNA is used to overcome the biological complexities like the inability for molecular analysis of ctDNA and dependence on ctDNA concentration rather than the molecular profile. Ultrasensitive quantum superstructures overcome the technical complexities of trace-level detection and rapid diagnosis to detect ctDNA within its short half-life. Activation of multiple surface enhanced Raman scattering mechanisms of the quantum superstructures achieved a very high enhancement factor (1.35 × 10¹¹ ) and detection at ultralow concentration (10^-15 M) with very high reliability (RSD: 3-12%). Pilot validation with clinical plasma samples from an independent validation cohort achieved a diagnosis sensitivity of ≈95% and specificity of 83%. Quantum superstructures identified the tissue of origin with ≈75-86% sensitivity and ≈92-96% specificity. With large scale clinical validation, the technology can develop into a clinically useful liquid biopsy tool improving cancer diagnostics.

Cancer Stem Cells in Ovarian Cancer-A Source of Tumor Success and a Challenging Target for Novel Therapies

Ovarian cancer is the most lethal neoplasm of the female genital organs. Despite indisputable progress in the treatment of ovarian cancer, the problems of chemo-resistance and recurrent disease are the main obstacles for successful therapy. One of the main reasons for this is the presence of a specific cell population of cancer stem cells. The aim of this review is to show the most contemporary knowledge concerning the biology of ovarian cancer stem cells (OCSCs) and their impact on chemo-resistance and prognosis in ovarian cancer patients, as well as to present the treatment options targeted exclusively on the OCSCs. The review presents data concerning the role of cancer stem cells in general and then concentrates on OCSCs. The surface and intracellular OCSCs markers and their meaning both for cancer biology and clinical prognosis, signaling pathways specifically activated in OCSCs, the genetic and epigenetic regulation of OCSCs function including the recent studies on the non-coding RNA regulation, cooperation between OCSCs and the tumor microenvironment (ovarian cancer niche) including very specific environment such as ascites fluid, the role of shear stress, autophagy and metabolic changes for the function of OCSCs, and finally mechanisms of OCSCs escape from immune surveillance, are described and discussed extensively. The possibilities of anti-OCSCs therapy both in experimental settings and in clinical trials are presented, including the recent II phase clinical trials and immunotherapy. OCSCs are a unique population of cancer cells showing a great plasticity, self-renewal potential and resistance against anti-cancer treatment. They are responsible for the progression and recurrence of the tumor. Several completed and ongoing clinical trials have tested different anti-OCSCs drugs which, however, have shown unsatisfactory efficacy in most cases. We propose a novel approach to ovarian cancer diagnosis and therapy.

Stem-like tumor cells and proinflammatory cytokines in the ascitic fluid of ovarian cancer patients

Ovarian cancer (OC) is able to develop implantation metastases in the abdominal cavity. Ascites is potentially useful for evaluating cancer features. The aim of the study was to assess the content of stem-like tumor cells and inflammatory mediators in ascites of OC. The prospective study included 11 patients with primary OC having ascites, 8 patients with benign ovarian tumors having ascites and 22 healthy women. In ascitic fluid obtained by laparocentesis, the populations of tumor stem-like cells were determined on a Cytoflex S` flow cytometer (Beckman Coulter, USA) and CytExpert Software using monoclonal antibodies to CD45, CD44 and CD133. The cytokine profiles of ascitic fluid and blood serum (IL-1β, IL-18, IL-4, IL-10 and VEGF) were assessed by ELISA. Stem-like cells were found in all samples. 5 cell populations were evaluated. The number of cells expressing both markers: CD44 + and CD133+, was the lowest. The highest, about 32%, was the number of CD44+ cells. The number of cells CD45-CD44+CD133- in ascites strongly positively correlated with the content of IL-10 in ascites, and the numbers of CD45-CD133+ and CD45-CD44-CD133+ - with the level of VEGF in blood serum. No correlations were found between the numbers of stem-like cells and the disease stage or the level of CA125 in blood. The combination of IL-4 and IL-10 in ascites had the greatest significance in predicting the disease stage. These results suggest a relationship between the levels of VEGF, IL-10, and cancer stem cells in the OC ascites. Stem-like cells in OC ascites are heterogeneous and are present even at an early stage of the disease. It seems promising to study cell populations and cytokine profile of ascites together, to assess the biomarker potential of their combination.