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Oncotarget

Oncotarget

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Oncotarget is a primarily oncology-focused, peer-reviewed, open access journal. Papers are published continuously within yearly volumes in their final and complete form and then quickly released to Pubmed. Oncotarget is now indexed by MEDLINE, PubMed and PMC/PubMed. Read about the Oncotarget Scientific Integrity Process: https://www.oncotarget.com/scientific_integrity/All rights reserved Ciencia
Episodios
  • The SCD1 Inhibitor Aramchol, Regorafenib, and Metformin Combine to Kill Uveal Melanoma Cells

    The SCD1 Inhibitor Aramchol, Regorafenib, and Metformin Combine to Kill Uveal Melanoma Cells
    Mar 31 2026
    BUFFALO, NY – March 31, 2026 – A new #research paper was #published in Volume 17 of Oncotarget on March 27, 2026, titled “The SCD1 inhibitor aramchol interacts with regorafenib and metformin to kill tumor cells.” Led by Michael R. Booth, Laurence Booth, and Jane L. Roberts from Virginia Commonwealth University, with corresponding author Paul Dent from the same institution and John M. Kirkwood from the University of Pittsburgh Cancer Institute, the study examines how aramchol interacts with regorafenib and metformin to kill tumor cells, particularly patient-derived uveal melanoma (UM) cells and cholangiocarcinoma cells. The authors report that aramchol, regorafenib, and metformin interact to enhance tumor cell killing, with the strongest effects seen when metformin is added to aramchol plus regorafenib. In patient-derived UM cells and LD-1 cholangiocarcinoma cells, the three-drug combination increased autophagosome formation and autophagic flux, while knockdown of Beclin1, ATG5, or LAMP2 reduced autophagosome and autolysosome formation and lowered cell killing. The study also found that BID contributes to the lethal response, supporting a multifactorial mechanism involving macroautophagy and death-receptor signaling. “Our data demonstrates that UM cells are killed by treatment with aramchol plus regorafenib plus metformin via enhanced autophagic flux and that this combination may have the potential to control UM tumors that have metastasized to the liver.” The authors also note that while SCD1 knockdown increased baseline tumor cell death, it did not replicate the full anticancer effects of aramchol, suggesting additional molecular targets contribute to its activity. They emphasize the need for further in vivo studies to evaluate the therapeutic potential of this combination in metastatic uveal melanoma, particularly in liver-targeted disease. DOI - https://doi.org/10.18632/oncotarget.28861 Correspondence to - Paul Dent - paul.dent@vcuhealth.org Abstract video - https://www.youtube.com/watch?v=lmX_c2e_-HY Sign up for free Altmetric alerts about this article - https://oncotarget.altmetric.com/details/email_updates?id=10.18632%2Foncotarget.28861 Subscribe for free publication alerts from Oncotarget - https://www.oncotarget.com/subscribe/ Keywords - cancer, macroautophagy, ER stress, aramchol, regorafenib, BID To learn more about Oncotarget, please visit https://www.oncotarget.com and connect with us: Facebook - https://www.facebook.com/Oncotarget/ X - https://twitter.com/oncotarget Instagram - https://www.instagram.com/oncotargetjrnl/ YouTube - https://www.youtube.com/@OncotargetJournal LinkedIn - https://www.linkedin.com/company/oncotarget Pinterest - https://www.pinterest.com/oncotarget/ Reddit - https://www.reddit.com/user/Oncotarget/ Spotify - https://open.spotify.com/show/0gRwT6BqYWJzxzmjPJwtVh MEDIA@IMPACTJOURNALS.COM
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    2 m
  • Predicting Colorectal Cancer Survival: How Machine Learning Combines Clinical and Biological Clues

    Predicting Colorectal Cancer Survival: How Machine Learning Combines Clinical and Biological Clues
    Mar 25 2026
    Colorectal cancer (CRC) ranks among the most common and lethal cancers worldwide, accounting for approximately 10% of all cancer diagnoses. While advances in prevention and treatment have improved outcomes, predicting which patients will survive remains a complex challenge—one that depends on an intricate interplay between molecular biology and clinical factors. A research paper, titled “Machine learning-based survival prediction in colorectal cancer combining clinical and biological features” was published in Volume 16 of Oncotarget by an international team of researchers, demonstrating how machine learning can integrate these two domains to achieve highly accurate survival predictions. The team’s investigation demonstrates that combining clinical features—such as pathological stage, age, and lymph node status—with biological markers—including the E2F8 gene and hsa-miR-495-3p—can significantly improve the ability to predict patient survival. Full blog - https://www.oncotarget.org/2026/03/25/predicting-colorectal-cancer-survival-how-machine-learning-combines-clinical-and-biological-clues/ Paper DOI - https://doi.org/10.18632/oncotarget.28783 Correspondence to - Lucas M. Vieira - lvieira@health.ucsd.edu Abstract video - https://www.youtube.com/watch?v=cy7UL5ZUKuI Sign up for free Altmetric alerts about this article - https://oncotarget.altmetric.com/details/email_updates?id=10.18632%2Foncotarget.28783 Subscribe for free publication alerts from Oncotarget - https://www.oncotarget.com/subscribe/ Keywords - cancer, colorectal cancer, machine learning, feature selection, non-coding RNAs, genes To learn more about Oncotarget, please visit https://www.oncotarget.com and connect with us on social media: Facebook - https://www.facebook.com/Oncotarget/ X - https://twitter.com/oncotarget Instagram - https://www.instagram.com/oncotargetjrnl/ YouTube - https://www.youtube.com/@OncotargetJournal LinkedIn - https://www.linkedin.com/company/oncotarget Pinterest - https://www.pinterest.com/oncotarget/ Reddit - https://www.reddit.com/user/Oncotarget/ Spotify - https://open.spotify.com/show/0gRwT6BqYWJzxzmjPJwtVh MEDIA@IMPACTJOURNALS.COM
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    9 m
  • CREB5 Linked to Stem Cell-Like Programs That Promote Prostate Cancer Progression

    CREB5 Linked to Stem Cell-Like Programs That Promote Prostate Cancer Progression
    Mar 24 2026
    BUFFALO, NY – March 24, 2026 – A new #research paper was #published in Volume 17 of Oncotarget on March 17, 2026, titled “CREB5 regulates stem cell-like transcriptional programs to enhance tumor progression in prostate cancer.” Led by corresponding authors Emmanuel S. Antonarakis and Justin Hwang from the Department of Medicine and the Masonic Cancer Center at the University of Minnesota – Twin Cities, the study examines how CREB5 shapes basal-like and stem cell-like transcriptional states in prostate cancer. The authors note that about 30–40% of advanced prostate cancers harbor basal-like transcriptional programs, and that stem cell-like tumors are a major mechanism of resistance to androgen receptor-targeted therapies. Using transcriptomic analyses of primary prostate cancer and castration-resistant prostate cancer cohorts (n = 493 and 208), the authors found that CREB5 expression strongly correlates with basal-like gene signatures and stem cell-like transcriptional programs. CREB5 was also shown to interact with AP-1 transcription factors and bind regulatory elements of AP-1 genes, suggesting a mechanistic role in promoting these aggressive tumor states. Functional experiments demonstrated that CREB5 overexpression enhances colony formation and tumor growth, supporting its role in tumor progression. “Taken together, this study indicates that CREB5 enhances PC tumor progression through genes that are associated with SCL traits.” Mechanistically, the study shows that CREB5 regulates transcriptional programs linked to tumor progression and stem cell-like features, positioning it as a central driver of aggressive prostate cancer phenotypes. The findings also suggest that CREB5 activity may already be present in primary tumors, potentially contributing to later therapy resistance and disease progression. The authors conclude that targeting CREB5-regulated transcriptional programs could represent a future strategy for addressing androgen receptor-independent prostate cancer. Further studies are needed to determine how disrupting CREB5 or its downstream pathways may improve therapeutic responses in advanced disease. DOI - https://doi.org/10.18632/oncotarget.28826 Correspondence to - Emmanuel S. Antonarakis - anton401@umn.edu, Justin Hwang - jhwang@umn.edu Abstract video - https://www.youtube.com/watch?v=Zywrj5hV4ho Sign up for free Altmetric alerts about this article - https://oncotarget.altmetric.com/details/email_updates?id=10.18632%2Foncotarget.28826 Subscribe for free publication alerts from Oncotarget - https://www.oncotarget.com/subscribe/ Keywords - cancer, prostate cancer, CREB5, basal-like, stem cell-like, AP-1 transcription factors To learn more about Oncotarget, please visit https://www.oncotarget.com and connect with us on social media: Facebook - https://www.facebook.com/Oncotarget/ X - https://twitter.com/oncotarget Instagram - https://www.instagram.com/oncotargetjrnl/ YouTube - https://www.youtube.com/@OncotargetJournal LinkedIn - https://www.linkedin.com/company/oncotarget Pinterest - https://www.pinterest.com/oncotarget/ Reddit - https://www.reddit.com/user/Oncotarget/ Spotify - https://open.spotify.com/show/0gRwT6BqYWJzxzmjPJwtVh MEDIA@IMPACTJOURNALS.COM
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    3 m
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