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	<title>miR-31-5p &#8211; Science</title>
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	<title>miR-31-5p &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>TFEB Drives Rare Kidney Cancer Growth Through a Long Non-Coding RNA Relay</title>
		<link>https://scienmag.com/tfeb-drives-rare-kidney-cancer-growth-through-a-long-non-coding-rna-relay/</link>
		
		<dc:creator><![CDATA[Nathaniel Bowman]]></dc:creator>
		<pubDate>Sat, 03 Oct 2026 17:06:52 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[Alpha-TFEB fusion gene]]></category>
		<category><![CDATA[ceRNA network]]></category>
		<category><![CDATA[chromosomal rearrangement in cancer]]></category>
		<category><![CDATA[chromosomal translocation in renal cell carcinoma]]></category>
		<category><![CDATA[CTNNB1]]></category>
		<category><![CDATA[CTNNB1 oncogene activation]]></category>
		<category><![CDATA[gene fusion and cancer progression]]></category>
		<category><![CDATA[LINC00612]]></category>
		<category><![CDATA[Long non-coding RNA]]></category>
		<category><![CDATA[long non-coding RNA LINC00612]]></category>
		<category><![CDATA[Medical Oncology]]></category>
		<category><![CDATA[microRNA miR-31-5p]]></category>
		<category><![CDATA[miR-31-5p]]></category>
		<category><![CDATA[molecular signaling in kidney cancer]]></category>
		<category><![CDATA[Rare kidney cancer]]></category>
		<category><![CDATA[renal cancer]]></category>
		<category><![CDATA[RNA sponges in tumor biology]]></category>
		<category><![CDATA[T(6;11) translocation kidney cancer]]></category>
		<category><![CDATA[t(6;11) translocation renal cell carcinoma]]></category>
		<category><![CDATA[targeted therapy in renal cell carcinoma]]></category>
		<category><![CDATA[TFEB]]></category>
		<category><![CDATA[TFEB transcription factor]]></category>
		<category><![CDATA[tumor progression]]></category>
		<category><![CDATA[Wnt signaling]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=231030</guid>

					<description><![CDATA[New research reveals that the Alpha-TFEB fusion gene drives t(6;11) translocation renal cell carcinoma by activating the long non-coding RNA LINC00612, which sponges miR-31-5p and unleashes the CTNNB1 gene to promote tumor growth.]]></description>
										<content:encoded><![CDATA[<p>A rare and stubborn form of kidney cancer has just given up one of its most closely guarded secrets. In a study published in Medical Oncology, researchers at Anhui Medical University in Hefei, China, report that a transcription factor called TFEB, which is hijacked by a characteristic chromosome rearrangement, fuels the growth of t(6;11) translocation renal cell carcinoma by switching on a long non-coding RNA known as LINC00612. That RNA, in turn, acts as a molecular sponge, soaking up a tumor-suppressive microRNA called miR-31-5p and thereby freeing a cancer-promoting gene, CTNNB1, to do its work. The finding lays out a complete signaling relay, from a fusion gene created by a chromosomal breakage event all the way down to the cellular machinery of proliferation, migration and invasion, and it points to a chain of molecules that could each be targeted with future therapies.</p>
<p>T(6;11) translocation renal cell carcinoma is one of the more unusual members of the kidney cancer family. It arises when a piece of chromosome 6 carrying the TFEB gene is swapped with a piece of chromosome 11 carrying the Alpha gene, producing an abnormal fusion transcript called Alpha-TFEB. The fusion gene drives abnormally high levels of TFEB activity inside tumor cells, and clinicians have long observed that this subtype, first described in 2001 as a distinctive pediatric renal neoplasm, can behave aggressively in some patients while remaining indolent in others. Because the tumor is rare, accounting for only a small fraction of renal cell carcinomas, large clinical trials have been difficult to organize, and the molecular details of how the fusion gene actually promotes malignancy have remained only partially mapped. The new study was designed to fill in one crucial stretch of that map.</p>
<p>The research team, led by He-Qin Zhan of the Department of Pathology at Anhui Medical University, with Hai-Yan Ni, Xiao-Xun Zhang and Xin-Ran Wang as co-first authors, built on cell lines their group had established in earlier work. These lines, designated HK-2-TFEB and Caki-2-TFEB, carry stable expression of the Alpha-TFEB fusion gene and serve as laboratory models of the translocation cancer. Western blotting confirmed that TFEB protein was abundant in both engineered lines compared with matched control cells. When the investigators measured RNA levels, they found that LINC00612, a long intergenic non-protein coding RNA, was significantly elevated in the fusion-positive cells, while miR-31-5p was reduced and CTNNB1, the gene encoding beta-catenin, was increased. That reciprocal pattern, high lncRNA, low microRNA, high target gene, is the classic signature of a competing endogenous RNA, or ceRNA, network.</p>
<p>The ceRNA hypothesis, first articulated by Salmena and colleagues in 2011, proposes that long non-coding RNAs can communicate with protein-coding messenger RNAs by competing for the same microRNA molecules. MicroRNAs are short RNA strands that normally bind to target messenger RNAs and silence them, so any RNA that binds and sequesters a microRNA effectively lifts the brake on that microRNA&#8217;s real targets. LINC00612 has previously been implicated in this kind of crosstalk in osteosarcoma, bladder cancer and colon adenocarcinoma, and a separate study linked a LINC00612/miR-31-5p axis to endothelial cell injury in cigarette smoke exposure. What the new work adds is the upstream driver: in this kidney cancer, the entire circuit appears to be switched on by the transcription factor TFEB itself.</p>
<p>Establishing that upstream connection required two complementary molecular techniques. Dual-luciferase reporter assays, in which the LINC00612 promoter is wired to a light-producing enzyme, showed that TFEB binding specifically activated the promoter, and chromatin immunoprecipitation experiments physically pulled down the promoter DNA along with TFEB protein, confirming that the transcription factor docks directly onto the LINC00612 regulatory region inside cells. In other words, TFEB is not merely correlated with LINC00612 expression; it is transcriptionally commanding it. Because the Alpha-TFEB fusion gene is the defining genetic lesion of this tumor subtype, the result provides a satisfying causal chain: the chromosome translocation creates the fusion, the fusion elevates TFEB activity, and TFEB turns up the volume on LINC00612.</p>
<p>With the top of the cascade established, the team tested what each link actually does to cancer cell behavior. When they overexpressed LINC00612 in ordinary HK-2 kidney cells, the cells became more proliferative, more migratory in wound healing assays and more invasive through membrane barriers, as measured by CCK-8 proliferation and transwell invasion assays. Conversely, when they knocked LINC00612 down in the fusion-positive HK-2-TFEB cells, those malignant capabilities were suppressed. The researchers also verified the middle and bottom of the relay: LINC00612 was shown to bind miR-31-5p directly, and miR-31-5p was shown to target CTNNB1. Reducing CTNNB1 expression likewise dampened the malignant functions of the cells, consistent with beta-catenin, a central player in the Wnt signaling pathway, being the downstream effector that ultimately drives the cancer phenotype.</p>
<p>Cell culture, however convincing, is only half the story, so the team turned to animal models to see whether the same axis governs tumor growth in living tissue. In mice, overexpression of either TFEB or LINC00612 promoted tumor growth, while overexpression of miR-31-5p inhibited it. The animal experiments, approved by the Animal Ethics Committee of Anhui Medical University, thus recapitulated the in vitro findings and demonstrated that manipulating any single node of the pathway, the transcription factor, the long non-coding RNA or the microRNA, is sufficient to change the trajectory of tumor growth in vivo. The consistency across molecular, cellular and animal levels gives the proposed TFEB/LINC00612/miR-31-5p/CTNNB1 axis unusual robustness for a study of such a rare malignancy.</p>
<p>The therapeutic implications are potentially significant. Because each component of the axis is a distinct molecular species, the pathway offers several points of attack. Antisense oligonucleotides or small interfering RNAs could theoretically silence LINC00612, microRNA mimics could restore miR-31-5p levels, and agents already in development against Wnt/beta-catenin signaling could blunt the downstream effect of CTNNB1. Notably, miR-31-5p has previously been described as a tumor suppressor in renal cell carcinoma through its targeting of cyclin-dependent kinase 1, which fits neatly with the new finding that its depletion by LINC00612 removes a brake on tumor progression. Prior work from the same group had also shown that the Alpha gene upregulates TFEB and promotes malignant transformation, making the present study a natural extension of a decade-long investigation into this fusion-driven cancer.</p>
<p>The study also contributes to a broader shift in cancer biology. Long non-coding RNAs, once dismissed as transcriptional noise, are increasingly recognized as master regulators of tumor behavior, and ceRNA networks have now been documented in hepatocellular carcinoma, gastric cancer, cervical cancer, prostate cancer and clear cell renal cell carcinoma, among others. By tying a specific lncRNA to a defining chromosomal translocation, the Anhui team has shown how a structural genetic lesion can be translated, through non-coding RNA circuitry, into the everyday business of cancer cell proliferation and spread. That perspective may also help explain why some t(6;11) tumors behave aggressively while others do not: variation in the activity of the LINC00612/miR-31-5p module could modulate the malignant potential that the fusion gene confers.</p>
<p>Caveats remain, as they always do at this stage of translation. The work rests on engineered cell lines and mouse models rather than large panels of patient tumors, and the rarity of t(6;11) renal cell carcinoma means that validating the axis in clinical specimens will require multi-institution collaboration. Whether blocking LINC00612 in patients is feasible and safe is unknown, and microRNA-based therapies have historically faced delivery challenges. Nevertheless, the identification of a complete, experimentally verified signaling relay, from the Alpha-TFEB fusion gene through LINC00612 and miR-31-5p to CTNNB1, gives researchers a concrete molecular target where previously there was only a correlation. For patients with this rare kidney cancer, whose treatment options have been limited by the tumor&#8217;s resistance to conventional therapies, the study offers something precious: a map of the enemy&#8217;s command structure, drawn molecule by molecule, and several new places to strike.</p>
<p><strong>Subject of Research:</strong> The TFEB/LINC00612/miR-31-5p/CTNNB1 signaling axis in t(6;11) translocation renal cell carcinoma progression</p>
<p><strong>Article Title:</strong> TFEB promotes the progression of t(6; 11) translocation renal cell carcinoma by upregulating LINC00612 expression</p>
<p><strong>Article References:</strong> Ni, H.-Y., Zhang, X.-X., Wang, X.-R., Ma, J., Yu, X.-J., &amp; Zhan, H.-Q. (2026). TFEB promotes the progression of t(6; 11) translocation renal cell carcinoma by upregulating LINC00612 expression. <em>Medical Oncology, 43</em>(11), Article 304. <a href="https://doi.org/10.1007/s12032-026-03411-6" rel="noopener noreferrer">https://doi.org/10.1007/s12032-026-03411-6</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s12032-026-03411-6" rel="noopener noreferrer">10.1007/s12032-026-03411-6</a></p>
<p><strong>Keywords:</strong> TFEB, LINC00612, miR-31-5p, CTNNB1, t(6;11) translocation renal cell carcinoma, long non-coding RNA, ceRNA network, Alpha-TFEB fusion gene, renal cancer, Wnt signaling, tumor progression, Medical Oncology</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">231030</post-id>	</item>
		<item>
		<title>Spit Test for Oral Cancer? Saliva miRNAs and Cell Markers Show Promise in Tobacco Users</title>
		<link>https://scienmag.com/spit-test-for-oral-cancer-saliva-mirnas-and-cell-markers-show-promise-in-tobacco-users/</link>
		
		<dc:creator><![CDATA[Nathaniel Bowman]]></dc:creator>
		<pubDate>Thu, 01 Oct 2026 02:13:58 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[biomarker panels for oral cancer screening]]></category>
		<category><![CDATA[Biomarkers]]></category>
		<category><![CDATA[cell markers for early detection of oral squamous cell carcinoma]]></category>
		<category><![CDATA[early detection]]></category>
		<category><![CDATA[early diagnosis of oral malignancies]]></category>
		<category><![CDATA[EGFR]]></category>
		<category><![CDATA[innovative oral cancer detection research India]]></category>
		<category><![CDATA[liquid biopsy]]></category>
		<category><![CDATA[minimally invasive oral cancer diagnostic techniques]]></category>
		<category><![CDATA[miR-31-5p]]></category>
		<category><![CDATA[molecular biomarkers for oral cancer]]></category>
		<category><![CDATA[non-invasive oral cancer screening methods]]></category>
		<category><![CDATA[noninvasive diagnostics]]></category>
		<category><![CDATA[oral cancer]]></category>
		<category><![CDATA[oral squamous cell carcinoma]]></category>
		<category><![CDATA[p53]]></category>
		<category><![CDATA[qRT-PCR]]></category>
		<category><![CDATA[saliva miRNAs as biomarkers for oral cancer]]></category>
		<category><![CDATA[saliva sample analysis in cancer diagnostics]]></category>
		<category><![CDATA[Saliva-based oral cancer detection]]></category>
		<category><![CDATA[salivary miRNAs]]></category>
		<category><![CDATA[screening tools for high-risk tobacco users]]></category>
		<category><![CDATA[tobacco use and oral cancer risk assessment]]></category>
		<category><![CDATA[tobacco users]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=220886</guid>

					<description><![CDATA[A pilot study finds that salivary miR-31-5p and EGFR expression in oral exfoliated cells are dramatically deregulated in tobacco users and oral cancer patients, offering a candidate noninvasive biomarker panel for early detection.]]></description>
										<content:encoded><![CDATA[<p>Oral cancer is one of the most common cancers linked directly to a preventable habit, and yet it continues to claim lives at an alarming rate, largely because it is caught too late. Oral squamous cell carcinoma, or OSCC, the most frequent malignancy of the mouth, carries a discouraging five-year survival rate, a statistic that researchers attribute primarily to two problems: current diagnostic procedures are invasive and uncomfortable, and the disease is usually diagnosed at an advanced stage when treatment options have narrowed dramatically. A new pilot study from researchers in India, published in Molecular Biology Reports, suggests that the answer to earlier detection may already be sitting in the mouths of the people most at risk. By analyzing molecules found in saliva and in cells gently scraped from the oral lining, the team has identified a candidate biomarker panel that could one day allow clinicians to screen high-risk tobacco users with nothing more invasive than a swab and a saliva sample.</p>
<p>The research, led by Ravina Vats and Rashmi Bhardwaj at the Centre for Medical Biotechnology, Maharshi Dayanand University in Rohtak, in collaboration with colleagues at Swami Shraddhanand College in Delhi and the Postgraduate Institute of Dental Sciences in Rohtak, focused on a class of tiny regulatory molecules called microRNAs, or miRNAs. These short RNA strands, roughly 18 to 24 nucleotides long, do not code for proteins themselves. Instead, they act as molecular dimmer switches, binding to messenger RNA molecules and fine-tuning how much protein gets produced from each gene. When this regulatory system goes awry, the consequences can be profound: genes that drive cell proliferation can be unleashed, while genes that restrain growth can be silenced. In cancer, particular miRNAs often become abnormally abundant or scarce, and because these changes can be detected in body fluids, they have become one of the most actively pursued categories of liquid biopsy markers.</p>
<p>The study zeroed in on five specific miRNAs with well-documented roles in cancer biology. Three of them, miR-21-5p, miR-31-5p, and miR-155-5p, are known onco-miRNAs, meaning their overexpression tends to promote tumor development. MiR-21-5p, for example, has been shown in previous work to drive invasion in oral cancer cells through the Wnt/beta-catenin pathway, while miR-31-5p is considered a pivotal oncogenic factor in oral squamous cell carcinoma and miR-155-5p has been associated with metastasis and poor prognosis. The other two, miR-125-3p and miR-133a, are tumor suppressor miRNAs whose reduced expression is thought to remove brakes on malignancy. Crucially, the researchers did not stop at the miRNAs themselves. They also measured two of the key protein targets downstream of these regulatory molecules: p53, the famous guardian-of-the-genome tumor suppressor whose dysfunction is a hallmark of many cancers, and EGFR, the epidermal growth factor receptor, a cell surface signaling molecule frequently overproduced in head and neck cancers and a well-established therapeutic target.</p>
<p>The logic of combining miRNAs with their protein targets reflects a growing recognition in the biomarker field that single molecules are often deceptive. A lone miRNA fluctuating in saliva might reflect inflammation, tissue injury, or any number of non-cancerous conditions, producing false positives that would undermine a screening program. A lone protein marker might similarly lack the specificity needed to distinguish malignant from benign changes. By tracking a coordinated pattern, an oncogenic miRNA rising in parallel with its target protein shifting in the oral epithelial cells, the researchers hoped to build a signal robust enough to survive the noise of everyday biology. This systems-level approach, reading the conversation between regulator and regulated rather than either voice alone, is increasingly seen as the most credible path toward clinically useful liquid biopsies.</p>
<p>The experimental design was straightforward but technically rigorous. The team recruited 40 individuals divided among oral cancer patients, tobacco consumers without cancer, and healthy controls. From each participant, they collected saliva and exfoliated oral cells, the loose epithelial cells that naturally shed from the mouth&#8217;s lining and can be harvested by simple scraping or rinsing. Using quantitative real-time PCR, or qRT-PCR, a technique that amplifies and measures specific RNA sequences with exquisite sensitivity, they quantified the expression levels of the five miRNAs in saliva and the messenger RNAs for p53 and EGFR in the exfoliated cells. To confirm the protein-level findings, they employed immunocytochemistry, a method that uses antibodies to visualize where specific proteins accumulate within cells, providing an independent line of evidence that the molecular changes were real and not artifacts of RNA measurement.</p>
<p>The results were striking, particularly for two molecules. MiR-31-5p, the oncogenic microRNA, was elevated 23-fold in the saliva of tobacco consumers compared with healthy controls, a difference that reached statistical significance at p equals 0.002. In oral cancer patients, the elevation was even more dramatic: a 38-fold increase, also significant at p equals 0.002. Meanwhile, EGFR expression in the exfoliated oral cells rose 12-fold in tobacco consumers, significant at p equals 0.001, and 20-fold in oral cancer patients, significant at p equals 0.0003. The parallel trajectory is what makes these findings compelling. Tobacco users, who are at elevated risk of developing oral cancer but have not yet done so, already show a partial version of the molecular signature seen in full-blown disease, suggesting that these markers may capture the intermediate state of tissue transformation before a tumor becomes visible or symptomatic.</p>
<p>That intermediate signal is precisely what an effective screening tool needs. The other studied miRNAs and their target messenger RNA were also found to be deregulated across the participant groups, though the standout performance of the miR-31-5p and EGFR pair led the team to propose this combination as the most promising candidate panel. To assess diagnostic potential formally, the researchers used receiver operating characteristic curve analysis, a statistical framework that plots true positive rates against false positive rates across all possible diagnostic thresholds. The area under the resulting curve, a standard measure of diagnostic accuracy, allows researchers to judge how well a biomarker distinguishes diseased from healthy individuals, and the ROC framework will be essential in determining whether this panel can move from pilot observation to validated clinical test.</p>
<p>The implications for tobacco users are significant. Tobacco consumption, whether smoked or chewed, remains the dominant risk factor for oral cancer in many parts of the world, including India, where smokeless tobacco products are widely used and where the study was conducted. Current screening relies on visual examination by dentists or physicians and, when suspicious lesions appear, on incisional biopsy, a procedure that removes a piece of tissue for histopathological analysis. Biopsy is accurate but invasive, uncomfortable, and impractical to deploy repeatedly across large populations of asymptomatic at-risk individuals. A saliva-and-scrape test, by contrast, could in principle be administered in a dental chair in minutes, repeated at regular intervals, and used to flag individuals who warrant closer follow-up, potentially catching malignancies at stages when survival odds are dramatically better.</p>
<p>The researchers themselves are careful to frame the work appropriately. This was a pilot study with a small, single-cohort design involving just 40 participants, and the authors explicitly describe their findings as preliminary and hypothesis-generating. Before any clinical application, the biomarker panel must be validated in larger, independent cohorts drawn from different populations, with careful attention to confounding factors such as age, sex, oral hygiene, alcohol use, and the specific type and duration of tobacco exposure. Saliva composition can also vary with circadian rhythm, diet, and collection method, all of which will need standardization. These are the ordinary hurdles of translational diagnostics, and they do not diminish the value of the initial observation; they simply mark the road ahead.</p>
<p>Still, the study adds to a rapidly accumulating body of evidence that the mouth offers a uniquely accessible window into cancer biology. Because oral squamous cell carcinoma begins in the epithelium, the very layer of cells that lines the oral cavity and sheds into saliva, the disease leaves molecular traces in the easiest body fluid to collect. Previous studies have implicated salivary miRNAs in oral cancer detection, and work on miR-21, miR-30c-5p, miR-146a, and other candidates has steadily refined the field&#8217;s understanding of which molecules carry the most diagnostic weight. What this new pilot study contributes is the demonstration that pairing salivary miRNAs with protein markers measured in exfoliated cells can produce a coordinated, statistically robust signal, and that this signal appears in tobacco users before cancer develops. If larger studies confirm the pattern, the humble spit test could become a routine weapon in the fight against one of the world&#8217;s most preventable and most neglected cancers, turning the saliva of millions of tobacco users into an early warning system that currently does not exist.</p>
<p><strong>Subject of Research:</strong> Salivary microRNA and p53/EGFR biomarkers for noninvasive early detection of oral squamous cell carcinoma in tobacco users</p>
<p><strong>Article Title:</strong> Salivary miRNAs along with p53 and EGFR in oral exfoliated cells: a pilot study on candidate noninvasive biomarkers for the early detection of oral cancer in tobacco users</p>
<p><strong>Article References:</strong> Vats, R., Yadav, P., Bano, A., Vashishtha, A., Narwal, A., &amp; Bhardwaj, R. (2026). Salivary miRNAs along with p53 and EGFR in oral exfoliated cells: a pilot study on candidate noninvasive biomarkers for the early detection of oral cancer in tobacco users. <em>Molecular Biology Reports, 53</em>(1), Article 1661. <a href="https://doi.org/10.1007/s11033-026-12829-0" rel="noopener noreferrer">https://doi.org/10.1007/s11033-026-12829-0</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s11033-026-12829-0" rel="noopener noreferrer">10.1007/s11033-026-12829-0</a></p>
<p><strong>Keywords:</strong> oral cancer, salivary miRNAs, miR-31-5p, EGFR, p53, tobacco users, liquid biopsy, noninvasive diagnostics, oral squamous cell carcinoma, biomarkers, qRT-PCR, early detection</p>
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