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Non-Coding RNA

Non-Coding RNA is an international, peer-reviewed, open access journal on non-coding RNA research dealing with elucidating the structure, function and biology of regulatory non-coding RNAs.
Non-Coding RNA is published bimonthly online by MDPI.
Indexed in PubMed | Quartile Ranking JCR - Q2 (Genetics and Heredity)

All Articles (586)

CARINH is an intriguing long noncoding RNA whose unique regulatory functions intersect the seemingly distinct processes of innate immunity and cancer development. Notably, CARINH is conserved across species, offering powerful experimental models for uncovering its mechanistic roles and physiological functions across diverse biological contexts. Stimulated by interferons and viral infections, CARINH stands out as a key player in the body’s antiviral defense mechanisms. Additionally, its dysregulation has been implicated in autoimmune disorders such as psoriasis, asthma, and inflammatory bowel disease, underscoring its broader role in maintaining immune homeostasis. Furthermore, alterations in CARINH expression have been connected to cancer progression, highlighting its dual role in immune response and tumor suppression. In this review, we delve into CARINH’s pivotal function in modulating interferon responses and influencing cancer development, with a focus on the molecular pathways that regulate its expression and contribute to its diverse roles. Understanding these pathways is crucial for evaluating CARINH’s significance as a biomarker and therapeutic target, potentially leading to groundbreaking advancements in medical research and treatment strategies.

21 November 2025

(a,b) Schematic representation of human (a) and mouse (b) IRF1/Irf1 loci (green) showing lncRNAs CARINH and Carinh (red). Arrowheads indicate direction of transcription.

miRNA and Its Implications in the Treatment Resistance in Breast Cancer—Narrative Review of What Do We Know So Far

  • Isabela Anda Komporaly,
  • Adelina Silvana Gheorghe and
  • Lidia Anca Kajanto
  • + 8 authors

Breast cancer remains a leading cause of cancer-related mortality worldwide, with treatment resistance and tumor heterogeneity posing major clinical challenges. MicroRNAs (miRNAs), small non-coding RNAs regulating gene expression, have emerged as key players in breast cancer biology, influencing tumor initiation, progression, and therapy resistance. This narrative review synthesizes recent evidence on the involvement of miRNAs in breast cancer subtypes and their impact on treatment response. Notably, miR-155, miR-503, and miR-21 have shown potential as non-invasive biomarkers and modulators of pathways such as PI3K-Akt, MAPK, and TNF signaling. Additionally, exosomal miRNAs may reflect chemoresistance profiles and predict pathological response to neoadjuvant therapy. Emerging data also support the use of specific miRNAs to sensitize tumors to radiotherapy or modulate immune checkpoints like PD-L1 in triple-negative breast cancer. However, challenges persist regarding standardization, sample types, and study heterogeneity. Further translational research is needed to validate miRNA signatures and their utility in guiding personalized treatment. By highlighting mechanistic insights and potential clinical applications, this review aims to contribute to the ongoing efforts of integrating miRNAs into precision oncology for breast cancer.

18 November 2025

Continued research is needed to clarify the specific role of different miRNAs in molecular subtypes of breast cancer and treatment resistance.

Prolonged Survival with Dieting for Improved Autophagy

  • Akari Fukumoto,
  • Moeka Nakashima and
  • Satoru Matsuda

Food is a crucial component affecting the health of individuals, which may have the potential to expand lifespan. It has been shown that a long lifespan may be related to fine-tuned autophagy. In general, suitable autophagy could play a significant role in the anti-aging biological exertion of the host. AMPK, a member of serine and threonine kinases, could play vital roles within the autophagy signaling pathway in various cells. In addition, alterations in the kinase activity of AMPK have been shown to be connected to several pathologies of aging-related diseases. Therefore, autophagy could control the lifespan-related homeostasis within the host from cells to a body via the modification of AMPK. The design of the diet and/or nutrition targeting the AMPK would be a possibility to expand the lifespan. Some analyses of the molecular biology underlying the autophagy suggest that supplementation of accurate nutraceuticals, as well as dietary restriction, mild fasting, and/or appropriate physical exercise, could modulate AMPK signaling, which may be advantageous for life extension with the alteration of autophagy. Remarkably, it has been revealed that several non-coding RNAs (ncRNAs) might also play significant roles in the regulation of autophagy. In addition, the production of some ncRNAs may be associated with the alteration of gut microbiota with certain diets. Therefore, the modulation of AMPK action with ncRNAs through choosing the relevant diet could be a therapeutic tactic for promoting longevity, which is also accompanied by a reduced risk for several aging-related diseases.

4 November 2025

Schematic image of the autophagy involved in both physical aging and aging-related diseases, including neurodegenerative disease, diabetes, hypertension, cardiovascular disease, muscular atrophy, osteoporosis, and cancers. Excess reactive oxygen species (ROS) production may be involved in the development of autophagy. The autophagy could also be affected by various ncRNAs including miR-34a, miR-301b, miR-26b, miR-106a, miR-29, miR-83, miR-23, miR-331, miR-9, miR-101, etc. Note that some important factors including inflammation and/or redox imbalance triggering several aging-related diseases have been omitted for clarity.

Background/Objectives: Breast cancer is a leading cause of cancer-related mortality among women worldwide. Small nucleolar RNAs (snoRNAs) represent a class of non-coding RNAs with potential as novel biomarkers applicable to improve diagnostic and prognostic applications. Methods: We performed a comprehensive evaluation of the snoRNA-related gene expression by qPCR using benign and tumor tissue samples associated with invasive breast carcinomas of no special type (NST). Selected candidate snoRNAs, i.e., SCARNA2, SCARNA3, SNORD15B, SNORD94, SNORA68, and SNHG1, along with RNU2-1 snRNA, were further validated and their associations with clinicopathological parameters were examined. External datasets and plasma samples were used for additional validation. Results: SCARNA2 was identified as the most promising snoRNA biomarker candidate, showing a positive association with better progression-free survival (PFS) in our data (13.3-month survival difference between low- and high-expression groups) and with both PFS and overall survival in external RNA-seq datasets. SNORD94, SNORD15B, SCARNA3, and RNU2-1 snRNA were also indicated as putative tumor suppressors. SNORD94 was associated with better progression-free survival (PFS) in our data as well (12.4-month survival difference between low- and high expression groups). Greater downregulation in the low-expression tumor subgroup compared to benign samples further supports the prognostic potential of SCARNA2 and SNORD94. Evidence for SNHG1 and SNORA68 as putative oncogenes was less conclusive. Conclusions: Several small nucleolar RNAs were found to be dysregulated in breast cancer specimens, supporting their further evaluation as potential biomarkers. In particular, SCARNA2, SNORD94, SNORD15B, SCARNA3, and RNU2-1 snRNA merit further investigation to determine their clinical relevance and biological roles in breast cancer.

31 October 2025

Relative gene expression between tumor and benign breast tissue samples (Experiment Tissue, validation). Notes: A clustered multiple-comparison graph showing gene expression data (non-log-transformed CNRQs). Error bars indicate 95% CI for the mean. CNRQs = calibrated normalized relative quantities calculated in qbase+. Data were normalized with the reference genes (GAPDH, GUSB, and HPRT1). Tumor samples: n = 22, benign samples: n = 20.

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Non-Coding RNA - ISSN 2311-553X