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	<title>HMOX1 &#8211; Science</title>
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	<title>HMOX1 &#8211; Science</title>
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		<title>Chemical Tag on RNA Helps Melanoma Dodge Ferroptosis, Study Finds</title>
		<link>https://scienmag.com/chemical-tag-on-rna-helps-melanoma-dodge-ferroptosis-study-finds/</link>
		
		<dc:creator><![CDATA[Nathaniel Bowman]]></dc:creator>
		<pubDate>Sat, 10 Oct 2026 16:08:46 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[cell death]]></category>
		<category><![CDATA[epigenetic regulation of melanoma]]></category>
		<category><![CDATA[epitranscriptomics]]></category>
		<category><![CDATA[ferroptosis]]></category>
		<category><![CDATA[ferroptosis resistance in melanoma]]></category>
		<category><![CDATA[HMOX1]]></category>
		<category><![CDATA[lipid peroxidation]]></category>
		<category><![CDATA[m6A modification]]></category>
		<category><![CDATA[melanoma]]></category>
		<category><![CDATA[melanoma immune evasion mechanisms]]></category>
		<category><![CDATA[Metformin]]></category>
		<category><![CDATA[metformin as potential melanoma therapy]]></category>
		<category><![CDATA[molecular mechanisms of ferroptosis inhibition]]></category>
		<category><![CDATA[N6-methyladenosine (m6A) modification]]></category>
		<category><![CDATA[PD-L1]]></category>
		<category><![CDATA[RNA methylation]]></category>
		<category><![CDATA[RNA modifications in tumor progression]]></category>
		<category><![CDATA[RNA-based cancer resistance strategies]]></category>
		<category><![CDATA[role of chemical tags in cancer survival]]></category>
		<category><![CDATA[skin cancer]]></category>
		<category><![CDATA[targeted therapies for melanoma]]></category>
		<category><![CDATA[YTHDF2]]></category>
		<category><![CDATA[YTHDF2 RNA-binding protein]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=259174</guid>

					<description><![CDATA[New research shows that the m6A reader protein YTHDF2 promotes melanoma progression by destabilizing HMOX1 mRNA and shielding tumor cells from ferroptosis, a vulnerability that the diabetes drug metformin may exploit.]]></description>
										<content:encoded><![CDATA[<p>Melanoma remains one of the most formidable challenges in oncology, a cancer notorious for its ability to spread early, mutate rapidly, and shrug off even the most sophisticated immunotherapies. Now, a team of researchers in China has uncovered a previously underappreciated molecular trick that the deadliest form of skin cancer uses to stay alive: a chemical tag on messenger RNA that keeps tumor cells protected from a form of programmed cell death known as ferroptosis. The study, published in Medical Oncology, identifies the RNA-binding protein YTHDF2 as a central player in melanoma progression and points to an unexpected candidate drug, the diabetes medication metformin, as a possible way to disarm it.</p>
<p>To understand why the finding matters, it helps to start with the chemistry. N6-methyladenosine, abbreviated m6A, is the most abundant internal modification found in eukaryotic messenger RNA. Rather than changing the genetic code itself, m6A acts like a sticky note attached to individual transcripts, influencing how long they survive, how efficiently they are translated into protein, and where they travel within the cell. The system relies on a cast of molecular actors: writers that deposit the methyl group, erasers that remove it, and readers such as YTHDF2 that interpret the mark and decide the fate of the tagged RNA. When YTHDF2 recognizes an m6A-modified transcript, it typically shepherds that mRNA toward degradation, effectively turning down the volume of the corresponding gene.</p>
<p>The research team, led by Da Gu, Huanmin Lou, Xiaojing Li, and colleagues at institutions including the First Affiliated Hospital of Anhui Medical University and Shandong First Medical University, began by mining public cancer databases. Their pan-cancer survey revealed that YTHDF2 is elevated across a range of tumor types, and in cutaneous melanoma specifically, its expression levels correlated positively with PD-L1, the molecular beacon that tumors use to suppress immune attack. Intriguingly, higher YTHDF2 also tracked with lower immune and stromal scores, suggesting that tumors rich in this RNA reader may build microenvironments that are less hospitable to infiltrating immune cells. That combination of immune evasion and aggressive growth made YTHDF2 a compelling suspect in the search for drivers of melanoma malignancy.</p>
<p>The next step was to ask what happens when YTHDF2 is removed. Using melanoma cell lines in the laboratory, the researchers knocked down the protein and observed a striking cascade of effects. Cell proliferation slowed markedly, and the population of Annexin V and propidium iodide positive cells, standard markers of dying cells, climbed. Crucially, when the team added a ferroptosis inhibitor to the cultures, the damage was largely rescued. That rescue experiment was the pivotal clue: it indicated that the cell death triggered by YTHDF2 loss was not ordinary apoptosis, but ferroptosis, an iron-dependent form of regulated cell death defined by the catastrophic oxidation of lipid membranes.</p>
<p>Ferroptosis has become one of the hottest topics in cancer biology precisely because tumor cells seem to fear it. The biochemical signature is unmistakable. In the YTHDF2-depleted melanoma cells, the researchers measured rising levels of intracellular ferrous iron, malondialdehyde, reactive oxygen species, and lipid peroxidation products, all hallmarks of membranes under oxidative assault. At the same time, glutathione, the cell&#8217;s principal antioxidant shield, dwindled. Every one of these changes was reversed when ferroptosis was pharmacologically blocked, confirming that the iron-fueled lipid destruction pathway was the mechanism at work. Experiments in animal models corroborated the same regulatory relationship in living tumors, lending physiological weight to the cell culture findings.</p>
<p>But how does an RNA-binding protein control a cell death pathway built from iron and lipids? The answer emerged from an integrated analysis combining RNA sequencing with RIP sequencing, a technique that maps which transcripts a protein physically binds. The data showed that YTHDF2 latches onto m6A marks on the messenger RNA of HMOX1, the gene encoding heme oxygenase 1, an enzyme with well-documented antioxidant and cytoprotective functions. By binding the methylated HMOX1 transcript, YTHDF2 destabilizes it, hastening its degradation and thereby suppressing the production of heme oxygenase 1. With less of this protective enzyme available, melanoma cells become more vulnerable to oxidative damage, yet the study&#8217;s overall picture shows that YTHDF2&#8217;s net effect in tumors is to promote malignant progression, positioning HMOX1 regulation as a key node in the network the protein controls.</p>
<p>The HMOX1 connection resonates with a growing body of literature. Heme oxygenase 1 has been implicated in ferroptosis regulation across diverse contexts, from liver cancer, where upregulating the enzyme synergizes with drug-induced ferroptotic stress, to retinal neovascularization and pulmonary hypertension, where YTHDF2 has separately been shown to suppress Hmox1-dependent antioxidant function in macrophages. The melanoma study now extends this theme into skin cancer, suggesting that the YTHDF2–HMOX1 axis is a recurring module that cells, whether diseased or malignant, use to tune their antioxidant capacity. In melanoma, the balance appears to tip in favor of tumor survival, consistent with YTHDF2&#8217;s established reputation as an oncogenic reader in cancers ranging from bladder carcinoma to diffuse large B-cell lymphoma.</p>
<p>Perhaps the most headline-grabbing element of the study is the repurposing angle. Metformin, a cheap, decades-old biguanide taken by millions of people with type 2 diabetes, has accumulated a long list of putative anticancer properties in the scientific literature. The researchers demonstrated that metformin inhibits YTHDF2 expression in melanoma cells, and in doing so promotes ferroptosis. The finding builds on the group&#8217;s earlier work, published in Cancer Genet, showing that metformin regulates ferroptosis in skin cutaneous melanoma through the ATF3/NRF2 axis. Together, the two studies sketch a coherent model in which the widely used drug pushes melanoma cells toward iron-mediated self-destruction by converging on the epitranscriptomic machinery that guards their antioxidant defenses. It also aligns with reports in breast cancer, where metformin induces ferroptosis by inhibiting the UFMylation of the cystine transporter SLC7A11, hinting that ferroptosis induction may be a unifying theme in the drug&#8217;s anticancer profile.</p>
<p>The therapeutic implications are tantalizing but must be tempered with appropriate caution. YTHDF2 has emerged as a target of growing interest in the field, with recent commentary in Trends in Cell Biology arguing that attacking the protein can reshape the epitranscriptome and overcome therapy resistance in tumors. A study in Science Immunology in 2024 detailed YTHDF2&#8217;s role in regulating immune evasion from within tumor cells, and the new melanoma data add a ferroptosis dimension to that immune story, given the observed correlation between YTHDF2 and PD-L1 expression. If blocking YTHDF2 simultaneously sensitizes tumor cells to ferroptosis and strips away immune camouflage, combination strategies that pair YTHDF2-directed approaches with checkpoint inhibitors become an obvious line of future investigation. Metformin, already proven safe in humans, could in principle be folded into such regimens more rapidly than a purpose-built YTHDF2 inhibitor, though clinical trials would be needed to establish any benefit in melanoma patients.</p>
<p>There are also broader lessons here about the m6A–ferroptosis interface, a frontier that a 2024 review in Molecular Cancer flagged as a promising avenue for advancing tumor immunotherapy. Other readers have been caught manipulating the same cell death pathway: in hepatocellular carcinoma, hypoxia was shown to block ferroptosis by suppressing the writer METTL14, which in turn unleashed YTHDF2-dependent silencing of SLC7A11. The melanoma study inverts the logic, with YTHDF2 acting on HMOX1 rather than SLC7A11, but the underlying principle is the same. Cancer cells exploit RNA modifications to fine-tune the expression of antioxidant genes, and each new target identified, whether a transporter, an enzyme like heme oxygenase 1, or a stress-response factor, adds a potential pressure point at which therapy could tip the balance toward tumor destruction. For a disease as stubborn as melanoma, that growing map of vulnerabilities is welcome news, and the humble RNA tag at the center of it may prove to be one of the most consequential sticky notes in modern cancer research.</p>
<p><strong>Subject of Research:</strong> The role of the m6A reader YTHDF2 in regulating HMOX1-mediated ferroptosis and malignant progression in cutaneous melanoma</p>
<p><strong>Article Title:</strong> YTHDF2 drives malignant progression in cutaneous melanoma through m⁶A-dependent HMOX1-mediated ferroptosis</p>
<p><strong>Article References:</strong> Gu, D., Sun, Y., Sun, J., Kang, W., Lou, H., &amp; Li, X. (2026). YTHDF2 drives malignant progression in cutaneous melanoma through m⁶A-dependent HMOX1-mediated ferroptosis. <em>Medical Oncology, 43</em>(11), Article 316. <a href="https://doi.org/10.1007/s12032-026-03427-y" rel="noopener noreferrer">https://doi.org/10.1007/s12032-026-03427-y</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s12032-026-03427-y" rel="noopener noreferrer">10.1007/s12032-026-03427-y</a></p>
<p><strong>Keywords:</strong> melanoma, YTHDF2, m6A modification, ferroptosis, HMOX1, metformin, RNA methylation, PD-L1, lipid peroxidation, epitranscriptomics, skin cancer, cell death</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">259174</post-id>	</item>
		<item>
		<title>Gene Signatures and Immune Suppression Mapped in Canine Lymphoma</title>
		<link>https://scienmag.com/gene-signatures-and-immune-suppression-mapped-in-canine-lymphoma/</link>
		
		<dc:creator><![CDATA[Nathaniel Bowman]]></dc:creator>
		<pubDate>Wed, 23 Sep 2026 23:31:51 +0000</pubDate>
				<category><![CDATA[Cancer]]></category>
		<category><![CDATA[ABCB1]]></category>
		<category><![CDATA[canine diffuse large B-cell lymphoma]]></category>
		<category><![CDATA[canine lymphoma]]></category>
		<category><![CDATA[canine lymphoma survival biomarkers]]></category>
		<category><![CDATA[Comparative Oncology]]></category>
		<category><![CDATA[comparative oncology models]]></category>
		<category><![CDATA[CTLA4]]></category>
		<category><![CDATA[diffuse large B-cell lymphoma]]></category>
		<category><![CDATA[dog models for human lymphoma]]></category>
		<category><![CDATA[gene signatures in dog lymphoma]]></category>
		<category><![CDATA[HMOX1]]></category>
		<category><![CDATA[immune evasion]]></category>
		<category><![CDATA[immune suppression in canine lymphomas]]></category>
		<category><![CDATA[impact of reference genome choice in cancer genomics]]></category>
		<category><![CDATA[molecular profiling of canine lymphoma]]></category>
		<category><![CDATA[RNA sequencing]]></category>
		<category><![CDATA[RNA sequencing in veterinary oncology]]></category>
		<category><![CDATA[STOM]]></category>
		<category><![CDATA[TBC1D8]]></category>
		<category><![CDATA[transcriptomic analysis in canine cancer]]></category>
		<category><![CDATA[Transcriptomics]]></category>
		<category><![CDATA[tumor microenvironment]]></category>
		<category><![CDATA[tumor microenvironment in canine lymphoma]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=211250</guid>

					<description><![CDATA[RNA sequencing of canine diffuse large B-cell lymphoma has revealed a five-gene signature linked to survival trends and a tumor microenvironment depleted of cytotoxic immune cells, strengthening the dog's role as a translational model for human lymphoma.]]></description>
										<content:encoded><![CDATA[<p>Dogs with the most common and aggressive form of lymphoma may soon benefit from a clearer molecular map of their disease, thanks to a new transcriptomic study from Brazilian researchers. A team led by scientists at São Paulo State University and collaborating institutions has used RNA sequencing to profile canine diffuse large B-cell lymphoma, or cDLBCL, uncovering a set of five genes whose altered expression tracks with patient survival and revealing a tumor microenvironment stripped of the immune cells normally responsible for fighting cancer. The work, published in the journal Veterinary Oncology, also underscores how much the choice of reference genome can shape the results of modern cancer genomics.</p>
<p>Canine diffuse large B-cell lymphoma is far more than a veterinary curiosity. It accounts for roughly 50 to 60 percent of all lymphoid cancers in dogs and mirrors human diffuse large B-cell lymphoma, which makes up about 40 percent of non-Hodgkin lymphomas in people. Because pet dogs develop the disease spontaneously, live in the same environments as their owners, and possess intact immune systems, they offer a clinically relevant model that laboratory mice cannot match. Drugs such as venetoclax, ibrutinib, and acalabrutinib have already been explored through this comparative framework, and the typical time to relapse in dogs, six to eight months, is far shorter than in humans, allowing therapeutic studies to move at an accelerated pace.</p>
<p>In the new study, the researchers analyzed lymph node samples from 15 dogs with multicentric DLBCL and two healthy control animals treated at the Governador Laudo Natel Veterinary Hospital at UNESP in Jaboticabal. Tissue fragments were snap-frozen and stored at minus 80 degrees Celsius before total RNA was extracted and converted into sequencing libraries using the Illumina TruSeq protocol. The team sequenced the libraries on an Illumina HiScanSQ platform with paired-end chemistry, then aligned the resulting reads against the canine reference genome CanFam6 using the STAR aligner. Differential expression analysis was carried out with the EdgeR package, modeling read counts with a negative binomial distribution and controlling the false discovery rate through the Benjamini-Hochberg procedure.</p>
<p>The results were striking in their asymmetry. The analysis identified 410 differentially expressed genes, of which 408 were downregulated in the tumor samples compared with normal lymph nodes, while only two genes, CPLX3 and a poorly characterized locus, were upregulated. Most of the silenced genes are involved in immune function, the very machinery that healthy tissue uses to police malignant cells. The researchers then cross-referenced their findings with four previous RNA-sequencing studies of canine B-cell lymphoma, comparing the overlapping gene lists to identify candidates of highest biological relevance. From this convergence, five genes emerged as the focus of the study: STOM, TBC1D8, HMOX1, ABCB1, and CTLA4.</p>
<p>Each of these five genes tells a distinct mechanistic story. STOM encodes stomatin, an integral membrane protein that organizes ion channels and helps structure the immunological synapses through which immune cells communicate; its disruption has been linked to gastric MALT lymphoma, colorectal cancer, and altered glucose transport via GLUT1. TBC1D8 encodes a GTPase-activating protein that regulates Rab-mediated vesicular trafficking, a process essential for antigen presentation, and in human colorectal and ovarian cancers it has been tied to invasiveness and poor prognosis through metabolic reprogramming toward aerobic glycolysis, the Warburg effect. HMOX1, or heme oxygenase 1, plays a paradoxical role in tumor biology, acting cytoprotectively at moderate levels while promoting lipid peroxidation and ferroptotic cell death when overexpressed.</p>
<p>The remaining two genes connect the signature directly to therapy. ABCB1 encodes P-glycoprotein, the ATP-dependent efflux pump responsible for multidrug resistance, which exports chemotherapeutic agents from tumor cells and undermines treatment efficacy; inhibiting it has been shown to restore drug sensitivity in lymphoma models. CTLA4 is one of the most famous targets in modern immunology, an immune checkpoint receptor that dampens T-cell activation by competing with CD28 for binding to CD80 and CD86. Its dysregulation enables tumors to escape immune surveillance, and checkpoint inhibitors targeting CTLA4, often combined with anti-PD-1 therapy, have transformed human cancer treatment. The enrichment analysis and protein-protein interaction networks built with the STRING database and Enrichr tool further connected these genes to the nuclear receptor meta-pathway, anion transport regulation, and xenobiotic transport across the blood-brain barrier, hinting at how drug metabolism and tumor stress responses converge.</p>
<p>When the team correlated expression of the five-gene signature with clinical outcomes, the picture was suggestive but not definitive. All 15 lymphoma patients had been treated with the CHOP chemotherapy protocol, and their survival times ranged from just 2 weeks to 160 weeks, with a mean of 48.8 weeks. Kaplan-Meier analysis showed a trend toward reduced overall survival in dogs with lower expression of the individual genes and of the composite signature, but none of these associations reached statistical significance, likely reflecting the small cohort size. The authors note that a priori power analysis was performed, and that the study was designed as a vanguard investigation capable of detecting very large effect sizes, but they acknowledge that larger, multicentric validation studies will be needed before these markers enter clinical practice.</p>
<p>Beyond the gene expression data, the study offers one of its most vivid insights into the tumor microenvironment itself. Using three independent computational deconvolution methods, CIBERSORT, quanTIseq, and EPIC, the researchers estimated the proportions of immune cell types within each sample. Tumor tissue was overwhelmingly dominated by neoplastic B cells, as expected in a B-cell malignancy, but the effector arm of the immune system was conspicuously depleted: cytotoxic CD8-positive T cells and macrophages were markedly reduced compared with healthy lymph nodes, which displayed a diverse repertoire of macrophages, monocytes, CD4-positive T cells, and neutrophils. This immunosuppressive architecture suggests active evasion of immune detection by the tumor. Intriguingly, an age-stratified analysis found that younger dogs tended to show higher CD4-positive T-cell infiltration, a trend the authors interpret as possibly reflecting preserved antitumor immunity before age-related immunosenescence takes hold.</p>
<p>The Brazilian setting of the study adds an important dimension to the global picture. Transcriptomic data from South American canine populations had been largely absent from the literature, despite evidence that environmental factors shape cancer biology. Previous case-control studies in São Paulo and the metropolitan region of Recife found that dogs living near high-traffic roads or exposed to solvents and paints faced substantially elevated risks of developing lymphoma, with one study reporting a nearly fivefold increase in risk, positioning pet dogs as sentinels for environmental carcinogens that may also affect humans. The authors also highlight a methodological point with consequences for the entire field: because earlier studies aligned their reads against the older CanFam3.1 or even CanFam2 reference genomes, while this study used the more complete and accurately annotated CanFam6, discrepancies in the numbers and identities of differentially expressed genes across studies are partly artifacts of genome assembly rather than true biological differences.</p>
<p>The study is not without limitations, and the authors are candid about them. The cohort comprised only 15 tumor samples and two controls, drawn from multiple breeds, and breed predispositions were not incorporated into the power analysis. Yet the consistency of the normal-sample expression profiles across all comparable published studies supports the validity of the small control group, and the magnitude of the transcriptional differences observed lent the analysis statistical footing despite its scale. What the work ultimately delivers is a framework: five interconnected genes governing membrane dynamics, vesicular transport, oxidative stress, immune regulation, and drug resistance, set against a tumor microenvironment that has lost its cytotoxic defenders. If validated in larger cohorts, these signatures could guide individualized treatment decisions in veterinary oncology, from checkpoint inhibitor combinations to strategies for reversing multidrug resistance, while reinforcing the dog&#8217;s standing as one of the most valuable spontaneous models for advancing human lymphoma research.</p>
<p><strong>Subject of Research:</strong> Transcriptomic profiling and immune microenvironment analysis of canine diffuse large B-cell lymphoma</p>
<p><strong>Article Title:</strong> Transcriptomic profiling reveals prognostic gene signatures and immune landscape alterations in canine diffuse large B-cell lymphoma</p>
<p><strong>Article References:</strong> Anai, L. A., Cavalca, A. M. B., Xavier, P. L. P., Semolin, L. M. S., Jark, P. C., Senhorello, I. L. S., Fukumasu, H., Demarchi Munhoz, T., Figueiredo, M. L., Fernandes, C. C., Costa, M. T., Kobayashi, P. E., Santana, Á. E., &amp; Fonseca-Alves, C. E. (2026). Transcriptomic profiling reveals prognostic gene signatures and immune landscape alterations in canine diffuse large B-cell lymphoma. <em>Veterinary Oncology, 3</em>(1), Article 1. <a href="https://doi.org/10.1186/s44356-025-00051-2" rel="noopener noreferrer">https://doi.org/10.1186/s44356-025-00051-2</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1186/s44356-025-00051-2" rel="noopener noreferrer">10.1186/s44356-025-00051-2</a></p>
<p><strong>Keywords:</strong> canine lymphoma, diffuse large B-cell lymphoma, RNA sequencing, transcriptomics, tumor microenvironment, CTLA4, ABCB1, HMOX1, STOM, TBC1D8, immune evasion, comparative oncology</p>
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