Stem Cell Division and Its Critical Role in Mammary Gland Development and Tumorigenesis: Current Progress and Remaining Challenges.

The origin of breast cancer (BC) has traditionally been a focus of medical research. It is widely acknowledged that BC originates from immortal mammary stem cells and that these stem cells participate in two division modes: symmetric cell division (SCD) and asymmetrical cell division (ACD). Although both of these modes are key to the process of breast development and their imbalance is closely associated with the onset of BC, the molecular mechanisms underlying these phenomena deserve in-depth exploration. In this review, we first outline the molecular mechanisms governing ACD/SCD and analyze the role of ACD/SCD in various stages of breast development. We describe that the changes in telomerase activity, the role of polar proteins, and the stimulation of ovarian hormones subsequently lead to two distinct consequences: breast development or carcinogenesis. Finally, gene mutations, abnormalities in polar proteins, modulation of signal-transduction pathways, and alterations in the microenvironment disrupt the balance of BC stem cell division modes and cause BC. Important regulatory factors such as mammalian Inscuteable mInsc, Numb, Eya1, PKCα, PKCθ, p53, and IL-6 also play significant roles in regulating pathways of ACD/SCD and may constitute key targets for future research on stem cell division, breast development, and tumor therapy.

Construction of Fluorescent G-Quadruplex Nanowires for Label-Free and Accurate Monitoring of Circular RNAs in Breast Cancer Cells and Tissues with Low Background.

Circular RNAs (circRNAs) represent an emerging category of endogenous transcripts characterized by long half-life time, covalently closed structures, and cell-/tissue-specific expression patterns, making them potential disease biomarkers. Herein, we demonstrate the construction of fluorescent G-quadruplex nanowires for label-free and accurate monitoring of circular RNAs in breast cancer cells and tissues by integrating proximity ligation-rolling circle amplification cascade with lighting up G-quadruplex. The presence of target circRNA facilitates the SplintR ligase-mediated ligation of the padlock probe. Upon the addition of primers, the ligated padlock probe can serve as a template to initiate subsequent rolling circle amplification (RCA), generating numerous long G-quadruplex nanowires that can incorporate with thioflavin T (ThT) to generate a remarkably improved fluorescence signal. Benefiting from good specificity of SplintR ligase-mediated ligation reaction and exponential amplification efficiency of RCA, this strategy can sensitively detect target circRNA with a limit of detection of 4.65 × 10-18 M. Furthermore, this method can accurately measure cellular circRNA expression with single-cell sensitivity and discriminate the circRNA expression between healthy para-carcinoma tissues and breast cancer tissues, holding great potential in studying the pathological roles of circRNA and clinic diagnostics.

The value of CT radiomics features to predict visceral pleural invasion in ≤3 cm peripheral type early non-small cell lung cancer.

OBJECTIVE: To investigate predictive value of CT-based radiomics features on visceral pleural invasion (VPI) in ≤3.0 cm peripheral type early non-small cell lung cancer (NSCLC). METHODS: A total of 221 NSCLC cases were collected. Among them, 115 are VPI-positive and 106 are VPI-negative. Using a stratified random sampling method, 70% cases were assigned to training dataset (n = 155) and 30% cases (n = 66) were assigned to validation dataset. First, CT findings, imaging features, clinical data and pathological findings were retrospectively analyzed, the size, location and density characteristics of nodules and lymph node status, the relationship between lesions and pleura (RAP) were assessed, and their mean CT value and the shortest distance between lesions and pleura (DLP) were measured. Next, the minimum redundancy-maximum relevance (mRMR) and least absolute shrinkage and selection operator (LASSO) features were extracted from the imaging features. Then, CT imaging prediction model, texture feature prediction model and joint prediction model were built using multifactorial logistic regression analysis method, and the area under the ROC curve (AUC) was applied to evaluate model performance in predicting VPI. RESULTS: Mean diameter, density, fractal relationship with pleura, and presence of lymph node metastasis were all independent predictors of VPI. When applying to the validation dataset, the CT imaging model, texture feature model, and joint prediction model yielded AUC = 0.882, 0.824 and 0.894, respectively, indicating that AUC of the joint prediction model was the highest (p < 0.05). CONCLUSION: The study demonstrates that the joint prediction model containing CT morphological features and texture features enables to predict the presence of VPI in early NSCLC preoperatively at the highest level.

Target-Initiated Cascade Signal Amplification Lights up a G-Quadruplex for a Label-Free Detection of Circular Ribonucleic Acids.

Circular ribonucleic acids (circRNAs) are a type of RNA that originates through back-splicing events from linear primary transcripts. CircRNAs display high structural resistance and tissue specificity. Accurate quantification of the circRNA expression level is of vital importance to disease diagnosis. Herein, we construct a label-free fluorescent biosensor for ultrasensitive analysis of circRNAs based on the integration of target-initiated cascade signal amplification strategy with a light-up G-quadruplex. This assay involves only one assistant probe that targets the circRNA-specific back-splice junction. When circRNA is present, it hybridizes with the assistant probe to initiate the duplex-specific nuclease (DSN)-catalyzed cyclic cleavage reaction, producing abundant triggers with 3'OH termini. Then, terminal deoxynucleotidyl transferase (TdT) catalyzes the addition of dGTP and dATP at the 3'-OH termini of the resultant triggers to obtain abundant long G-rich DNA sequences that can form efficient G-quadruplex products. The addition of Thioflavin T (ThT) can light up G-quadruplex, generating an enhanced fluorescence. This assay may be performed isothermally without the involvement of any nucleic acid templates, exogenous primers, and specific labeled probes. Importantly, this biosensor can discriminate target circRNA from one-base mismatched circRNA and exhibits good performance in human serum. Moreover, it can accurately detect circRNA in cancer cells at a single-cell level and even differentiate the circRNA levels in the tissues of healthy persons and nonsmall cell lung cancer (NSCLC) patients, with promising applications in circRNA-related cancer diagnosis and therapeutics.

Construction of a Robust Entropy-Driven DNA Nanomachine for Single-Molecule Detection of Rare Cancer Cells.

Accurate and sensitive detection of rare cancer cells such as circulating tumor cells (CTCs) has attracted great interest in the fields of clinical diagnosis and cancer research. However, the reported methods for cancer cell detection often involve a complicated platform and laborious procedures with a limited sensitivity. Herein, we construct a new entropy-driven DNA nanomachine for single-molecule detection of rare cancer cells. This assay employs the entropy-driven DNA nanomachine for efficient cancer cell recognition and signal amplification without the involvement of any expensive and unstable antibodies and enzymes, and it enables one-step detection of living cancer cells with high sensitivity and good specificity. This DNA nanomachine can be further applied for rare CTC detection in whole blood samples.

A simple "mix-and-detection" method for the sensitive detection of telomerase from cancer cells under absolutely isothermal conditions.

We develop a simple "mix-and-detection" method for the sensitive detection of telomerase from cancer cells under absolutely isothermal conditions. This method enables one-step and one-tube detection of telomerase with a detection limit of 3 cells, and it can be further applied for the screening of telomerase inhibitors and the discrimination of cancer cells from normal cells.

Enhancing chemotherapy sensitivity by targeting PcG via the ATM/p53 pathway.

Histone modification and chromatin remodeling are important events in response to DNA damage, and Polycomb group (PcG) proteins, catalyzing H3K27 methylation, are involved. However, the biological function and mechanism of PcG in DNA damage are not fully understood. Additionally, downstream effectors in hepatocellular carcinoma (HCC) remain unclear. The present study investigated the biological and mechanistic roles of PcG in the DNA damage response induced by chemotherapeutic drugs in HCC. It was found that chemotherapy drugs, such as epirubicin (EPB) and mitomycin C (MMC), effectively blocked expression of PcG in p53-wild-type HepG2 cells but not in PLC/PRF5 and Hep3B cells with p53 mutation or deletion. PcG-related target genes involved in DNA damage were identified, including p53, Ataxia telangiectasia mutated (ATM) and Forkhead box O3 (FOXO3). Moreover, targeting PcG-induced p53 expression was associated with increased drug sensitivity in HCC cells. shRNA targeting enhancer of zeste homolog 2 (EZH2) or its inhibitor GSK126 significantly promoted chemotherapeutic drug-induced genotoxicity and increased HepG2 cell chemosensitivity. Mechanistically, chromatin immunoprecipitation (ChIP) assays confirmed that PcG binds to the ATM promoter and inhibits its expression through covalent modification of H3K27me3. Herein, we establish a potential chemotherapy association with GSK126, and the findings suggest this link might represent a new strategy for increasing the sensitivity of HCC to chemotherapeutic agents.