Abnormal Long Non-Coding RNAs Expression Patterns Have the Potential Ability for Predicting Survival and Treatment Response in Breast Cancer

Pavanelli, Ana Carolina; Mangone, Flávia Rotea; Barros, Luciana Rodrigues Carvalho; Machado-Rugolo, Juliana; Capelozzi, Vera Luíza; Nagai, María Aparecida

doi:10.3390/genes12070996

Cited by 5 publications

(3 citation statements)

References 50 publications

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“…Early detection of breast cancer is a critical factor in preventing its development and metastasis, as well as reducing the mortality rate associated with the disease 3,4 . Hence, identifying potential molecular targets, regulatory elements, and diagnostic and prognostic biomarkers, such as various non‐coding RNAs (ncRNA), could be helpful in cancer prevention and therapy 5,6 …”

Section: Introductionmentioning

confidence: 99%

“… 3 , 4 Hence, identifying potential molecular targets, regulatory elements, and diagnostic and prognostic biomarkers, such as various non‐coding RNAs (ncRNA), could be helpful in cancer prevention and therapy. 5 , 6 …”

Section: Introductionmentioning

confidence: 99%

“…3,4 Hence, identifying potential molecular targets, regulatory elements, and diagnostic and prognostic biomarkers, such as various non-coding RNAs (ncRNA), could be helpful in cancer prevention and therapy. 5,6 Non-coding RNAs have emerged as a crucial player in cancer progression and inhibition of tumorigenesis. Recent studies have shown that ncRNAs, such as microRNAs, long non-coding RNAs (lncRNAs), and circular RNAs, can regulate gene expression at different levels of the central dogma of molecular biology, affecting various cellular processes and cancer development, such as tumor growth, angiogenesis, cell cycle, drug resistance, and epithelial to mesenchymal transition (EMT).…”

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confidence: 99%

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LINC01116 affects patient survival differently and is dissimilarly expressed in ER+ and ER− breast cancer samples

Karimi Taheri,

Ghanbari,

Gholipour

et al. 2023

Cancer Reports

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BackgroundBreast cancer is the most commonly detected cancer and one of the leading causes of cancer mortality. Emerging evidence supports that aberrant expression of lncRNAs is correlated with tumor progression and various aspects of tumor development.AimThis study aimed to evaluate the expression pattern of LINC01116 in breast cancer tissues and investigate the impact of LINC01116 on patients' survival.Methods and ResultsMicroarray and qRT‐PCR data analysis were performed, and the KM‐plotter database was used in this study. In addition, the gain of function approach was performed to examine the effect of LINC01116 on breast cancer cells in‐vitro. The results exhibited that LINC01116 is meaningfully upregulated in the ER+ tumor specimens compared to the ER– ones. Also, relative to normal tissues, the expression of LINC01116 in ER+ and ER– tumor tissues significantly increased and decreased, respectively. ROC curve analysis revealed the power of LINC01116 in distinguishing ER+ from ER– samples. Additionally, the Kaplan‐Meier survival analysis showed that the LINC01116 expression positively correlates with survival probability in all as well as ER+ patients. However, this correlation was negative in ER– patients. Furthermore, our results showed that the overexpression of LINC01116 induces TGF‐β signaling in ER– cells (MDA‐MB‐231), and microarray data analysis revealed that LINC01116 is significantly upregulated in 17β‐Estradiol treated MCF7 cells.ConclusionIn conclusion, our results suggest that LINC01116 can be a potential biomarker in distinguishing ER+ and ER– tissues and has different effects on patients' survival based on ER status by affecting TGF‐β and ER signaling.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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LINC01116 affects patient survival differently and is dissimilarly expressed in ER+ and ER− breast cancer samples

Karimi Taheri,

Ghanbari,

Gholipour

et al. 2023

Cancer Reports

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The effect of bone marrow mesenchymal stromal cell exosomes on acute myeloid leukemia’s biological functions: a focus on the potential role of LncRNAs

Jalilivand,

Izadirad,

Vazifeh Shiran

et al. 2024

Clin Exp Med

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Acute myeloid leukemia represents a group of malignant blood disorders that originate from clonal over-proliferation and the differentiation failure of hematopoietic precursors, resulting in the accumulation of blasts in the bone marrow. Mesenchymal stromal cells (MSCs) have been shown to exert diverse effects on tumor cells through direct and indirect interaction. Exosomes, as one of the means of indirect intercellular communication, are released from different types of cells, including MSCs, and their various contents, such as lncRNAs, enable them to exert significant impacts on target cells. Our study aims to investigate the effects of BM-MSC exosomes on the cellular and molecular characterization of HL-60 AML cells, particularly detecting the alterations in the expression of lncRNAs involved in AML leukemogenesis, cell growth, drug resistance, and poor prognosis. BM-MSCs were cultured with serum-free culture media to isolate exosomes from their supernatants. The validation of exosomes was performed in three stages: morphological analysis using TEM, size evaluation using DLS, and CD marker identification using flow cytometry. Subsequently, the HL-60 AML cells were treated with isolated BM-MSC exosomes to determine the impact of their contents on leukemic cells. Cell metabolic activity was evaluated by the MTT assay, while cell cycle progression, apoptosis, ROS levels, and proliferation were assessed by flow cytometry. Furthermore, RT-qPCR was conducted to determine the expression levels of lncRNAs and apoptosis-, ROS-, and cell cycle-related genes. MTT assay and flow cytometry analysis revealed that BM-MSC exosomes considerably suppressed cell metabolic activity, proliferation, and cell cycle progression. Also, these exosomes could effectively increase apoptosis and ROS levels in HL-60 cells. The expression levels of p53, p21, BAX, and FOXO4 were increased, while the BCL2 and c-Myc levels decreased. MALAT1, HOTAIR, and H19 expression levels were also significantly decreased in treated HL-60 cells compared to their untreated counterparts. BM-MSC exosomes suppress cell cycle progression, proliferation, and metabolic activity while simultaneously elevating the ROS index and apoptosis ratio in HL-60 cells, likely by reducing the expression levels of MALAT1, HOTAIR, and H19. These findings suggest that BM-MSC exosomes might serve as potential supportive therapies for leukemia.

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Expression of Pivotal Long Non-coding RNAs Implicated in Gastric Cancer: A Bioinformatic and Clinical Study

Mohammadi,

Zareh,

Rabani

et al. 2023

Biochem Genet

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Abnormal Long Non-Coding RNAs Expression Patterns Have the Potential Ability for Predicting Survival and Treatment Response in Breast Cancer

Cited by 5 publications

References 50 publications

LINC01116 affects patient survival differently and is dissimilarly expressed in ER+ and ER− breast cancer samples

LINC01116 affects patient survival differently and is dissimilarly expressed in ER+ and ER− breast cancer samples

The effect of bone marrow mesenchymal stromal cell exosomes on acute myeloid leukemia’s biological functions: a focus on the potential role of LncRNAs

Expression of Pivotal Long Non-coding RNAs Implicated in Gastric Cancer: A Bioinformatic and Clinical Study

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