miR-1275 targets MDK/AKT signaling to inhibit breast cancer chemoresistance by lessening the properties of cancer stem cells

Single-cell transcriptome sequencing reveals SPP1-CD44-mediated macrophage-tumor cell interactions drive chemoresistance in TNBC

Triple-negative breast cancer (TNBC) is often considered one of the most aggressive subtypes of breast cancer, characterized by a high recurrence rate and low overall survival (OS). It is notorious for posing challenges related to drug resistance. While there has been progress in TNBC research, the mechanisms underlying chemotherapy resistance in TNBC remain largely elusive. We collect single-cell RNA sequencing (scRNA-seq) data from five TNBC patients susceptible to chemotherapy and five resistant cases. Comprehensive analyses involving copy number variation (CNV), pseudotime trajectory, cell-cell interactions, pseudospace analysis, as well as transcription factor and functional enrichment are conducted specifically on macrophages and malignant cells. Furthermore, we performed validation experiments on clinical samples using multiplex immunofluorescence. We identified a subset of SPP1+ macrophages that secrete SPP1 signals interacting with CD44 on malignant cell surfaces, potentially activating the PDE3B pathway within malignant cells via the integrin pathway, leading to chemotherapy resistance. The abnormally enhanced SPP1 signal between macrophages and malignant cells may serve as a factor promoting chemotherapy resistance in TNBC patients. Therefore, SPP1+ macrophages could potentially serve as a therapeutic target to reduce chemotherapy resistance.

Identification of a 9-gene signature to enhance biochemical recurrence prediction in primary prostate cancer: A benchmarking study using ten machine learning methods and twelve patient cohorts

Prostate cancer (PCa) is a prevalent malignancy among men worldwide, and biochemical recurrence (BCR) after radical prostatectomy (RP) is a critical turning point commonly used to guide the development of treatment strategies for primary PCa. However, the clinical parameters currently in use are inadequate for precise risk stratification and informing treatment choice. To address this issue, we conducted a study that collected transcriptomic data and clinical information from 1662 primary PCa patients across 12 multicenter cohorts globally. We leveraged 101 algorithm combinations that consisted of 10 machine learning methods to develop and validate a 9-gene signature, named BCR SCR, for predicting the risk of BCR after RP. Our results demonstrated that BCR SCR generally outperformed 102 published prognostic signatures. We further established the clinical significance of these nine genes in PCa progression at the protein level through immunohistochemistry on Tissue Microarray (TMA). Moreover, our data showed that patients with higher BCR SCR tended to have higher rates of BCR and distant metastasis after radical radiotherapy. Through drug target prediction analysis, we identified nine potential therapeutic agents for patients with high BCR SCR. In conclusion, the newly developed BCR SCR has significant translational potential in accurately stratifying the risk of patients who undergo RP, monitoring treatment courses, and developing new therapies for the disease.

Liquid biopsy using non-coding RNAs and extracellular vesicles for breast cancer management

This article examines liquid biopsy using non-coding RNAs and extracellular vesicles in detail. Liquid biopsy is emerging as a prominent non-invasive diagnostic tool in the treatment of breast cancer. We will elucidate the roles of these molecules in early detection, monitoring treatment effectiveness, and prognostic assessment of breast cancer. Additionally, the clinical significance of these molecules will be discussed. We aim to delve into the distinct characteristics of these molecules and their possible roles in breast cancer management, with an anticipation of their contribution to future diagnostic and therapeutic advancements.

Hijacking 5-Fluorouracil Chemoresistance in Triple Negative Breast Cancer via microRNAs-Loaded Chitosan Nanoparticles

Chemotherapy is still the mainstay of treatment for triple-negative breast cancer (TNBC) patients. Yet only 20% of TNBC patients show a pathologic complete response (pCR) after neoadjuvant chemotherapy. 5-Fluorouracil (5-FU) is a stable cornerstone in all recommended chemotherapeutic protocols for TNBC patients. However, TNBC patients' innate or acquired chemoresistance rate for 5-FU is steeply escalating. This study aims to unravel the mechanism behind the chemoresistance of 5-FU in the aggressive TNBC cell line, MDA-MB-231 cells, to explore further the role of the tumor suppressor microRNAs (miRNAs), miR-1275, miR-615-5p, and Let-7i, in relieving the 5-FU chemoresistance in TNBC, and to finally provide a translational therapeutic approach to co-deliver 5-FU and the respective miRNA oligonucleotides using chitosan-based nanoparticles (CsNPs). In this regard, cellular viability and proliferation were investigated using MTT and BrdU assays, respectively. 5-FU was found to induce JAK/STAT and PI3K/Akt/mTOR pathways in MDA-MB-231 cells with contaminant repression of their upstream regulators miR-1275, miR-615-5p, and Let-7i. Moreover, CsNPs prepared using the ionic gelation method were chosen and studied as nanovectors of 5-FU and a combination of miRNA oligonucleotides targeting TNBC. The average particle sizes, surface charges, and morphologies of the different CsNPs were characterized using dynamic light scattering (DLS) and transmission electron microscopy (TEM), respectively. In addition, the encapsulation efficiency (EE%), drug loading capacity (DLC%), and release manner at two different pH values were assessed. In conclusion, the novel CsNPs co-loaded with 5-FU and the combination of the three miRNA oligonucleotides demonstrated synergistic activity and remarkable repression in cellular viability and proliferation of TNBC cells through alleviating the chemoresistance to 5-FU.

METTL14/miR-29c-3p axis drives aerobic glycolysis to promote triple-negative breast cancer progression though TRIM9-mediated PKM2 ubiquitination

The energy metabolic rearrangement of triple-negative breast cancer (TNBC) from oxidative phosphorylation to aerobic glycolysis is a significant biological feature and can promote the malignant progression. However, there is little knowledge about the functional mechanisms of methyltransferase-like protein 14 (METTL14) mediated contributes to TNBC malignant progression. Our study found that METTL14 expression was significantly upregulated in TNBC tissues and cell lines. Silencing METTL14 significantly inhibited TNBC cell growth and invasion in vitro, as well as suppressed tumour growth. Mechanically, METTL14 was first found to activate miR-29c-3p through m6A and regulate tripartite motif containing 9 (TRIM9) to promote ubiquitination of pyruvate kinase isoform M2 (PKM2) and lead to its transition from tetramer to dimer, resulting in glucose metabolic reprogramming from oxidative phosphorylation to aerobic glycolysis to promote the progress of TNBC. Taken together, these findings reveal important roles of METTL14 in TNBC tumorigenesis and energy metabolism, which might represent a novel potential therapeutic target for TNBC.

ZNF746 promotes M2 macrophage polarisation and favours tumour progression in breast cancer via the Jagged1/Notch pathway

Breast cancer (BC) is a major threat to women's health. BC is a heterogeneous disease and treatment strategies and outcomes differ between subtypes. Investigating the molecular mechanisms of BC will help to identify potential therapeutic targets and develop new therapies. Here we report that zinc finger protein 746 (ZNF746), a Krüppel-associated box and zinc finger protein, exhibits tumour-promoting properties in BC. Functional experiments (cell growth, colony formation, cell cycle analysis, and transwell analysis) were used to evaluate the proliferation, migration, and invasion capacity of BC cells. Immunohistochemistry was performed to detect the expression of ZNF746, CD163 (M2 macrophage marker), and HES1 (Notch target) in BC tissues. ZNF746 was highly expressed in BC tissues compared to adjacent paired non-tumour tissues. Patients with M1 BC had higher expression of ZNF746 compared to patients with non-metastatic (M0) BC, and higher expression of ZNF746 was associated with poorer overall survival. The immunohistochemical results showed a positive correlation between the expression of ZNF746 and the expression of CD163 or HES1. ZNF746 promoted BC cell proliferation, migration, and invasion and increased the expression of molecules essential for monocyte recruitment and differentiation (CCL2 and CSF1). Furthermore, THP-1 monocytes cultured in the conditioned medium derived from BC cells overexpressing ZNF746 exhibited enhanced M2 polarisation. In contrast, ZNF746 knockdown reduced BC cell proliferation, migration, and invasion and suppressed M2 polarisation. Mechanistically, ZNF746 promoted the activation of the Jagged1/Notch pathway, and the Jagged1 siRNA-mediated blockade of this pathway prevented the tumour-promoting functions of ZNF746. In conclusion, this study uncovers the role of ZNF746 in promoting M2 macrophage polarisation and suggests that ZNF746 may be a promising therapeutic target for limiting BC progression.

Role of Midkine in Cancer Drug Resistance: Regulators of Its Expression and Its Molecular Targeting

Molecules involved in drug resistance can be targeted for better therapeutic efficacies. Research on midkine (MDK) has escalated in the last few decades, which affirms a positive correlation between disease progression and MDK expression in most cancers and indicates its association with multi-drug resistance in cancer. MDK, a secretory cytokine found in blood, can be exploited as a potent biomarker for the non-invasive detection of drug resistance expressed in various cancers and, thereby, can be targeted. We summarize the current information on the involvement of MDK in drug resistance, and transcriptional regulators of its expression and highlight its potential as a cancer therapeutic target.