Saadat Akhtar Mozhgan, Gholipour Akram, Bagheri Moghaddam Mahrokh, Oveisee Maziar, Mowla Seyed Javad, Malakootian Mahshid
Department of Molecular Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
Cardiogenetic Research Center, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
Iran J Public Health. 2023 Feb;52(2):427-435. doi: 10.18502/ijph.v52i2.11896.
We investigated the expression pattern of a human stem cell-specific, large intergenic RNA regulator of reprogramming () and its spliced transcript variants in breast tumors. Breast cancer is the leading cause of cancer mortality in women; therefore, finding a reliable diagnostic tumor marker, based on the molecular profile of tumor cells, is warranted.
qRT-PCR was used to investigate the expression alteration of a specific stem cell-related and its spliced transcript variants in breast tumors which provided by the Iran National Tumor Bank (2014-2016). Suitability of and expression alterations of its spliced transcript variants as breast tumor biomarkers were examined by ROC curve analysis.
Expression was significantly upregulated in variants 1 (NR-048536) and 4 (AB844432) and downregulated in variant 3 (AB844431), with expression levels failing to distinguish between breast tumor types, grades, and malignancy stages. Whereas ROC curve analysis gave good scores to the expressions of variants 1 (AUC=0.7675, =0.003) and 3 (AUC=0.9383, =0.00173), suggesting their suitability as potential breast tumor biomarkers, it gave an AUC score of 0.6033 for spliced variant 4 (=0.4118), denoting its unsuitability as a breast cancer biomarker.
Aberrant expressions of spliced transcript variants could serve as reliable biomarkers with potential usefulness in breast cancer diagnosis. However, further research should elucidate the role and tissue expression of spliced transcript variants in various cancers.
我们研究了一种人类干细胞特异性的、重编程的大基因间RNA调节因子()及其剪接转录变体在乳腺肿瘤中的表达模式。乳腺癌是女性癌症死亡的主要原因;因此,基于肿瘤细胞的分子特征寻找一种可靠的诊断肿瘤标志物是必要的。
采用qRT-PCR研究伊朗国家肿瘤库(2014 - 2016年)提供的乳腺肿瘤中一种特定干细胞相关的及其剪接转录变体的表达变化。通过ROC曲线分析检验及其剪接转录变体作为乳腺肿瘤生物标志物的适用性和表达变化。
在变体1(NR - 048536)和4(AB844432)中表达显著上调,在变体3(AB844431)中表达下调,其表达水平无法区分乳腺肿瘤的类型、分级和恶性阶段。虽然ROC曲线分析对变体1(AUC = 0.7675, = 0.003)和3(AUC = 0.9383, = 0.00173)的表达给出了良好评分,表明它们适合作为潜在的乳腺肿瘤生物标志物,但对剪接变体4给出的AUC评分为0.6033( = 0.4118),表明其不适合作为乳腺癌生物标志物。
剪接转录变体的异常表达可作为可靠的生物标志物,在乳腺癌诊断中具有潜在用途。然而,进一步的研究应阐明剪接转录变体在各种癌症中的作用和组织表达。