SciTrends
SciTrends is a cutting-edge platform dedicated to keeping professionals, researchers, and enthusiasts abreast of the latest developments in the scientific realm. Focused on biological, chemical, physical, life sciences, engineering, and technology, Sci-Trends serves as a centralized hub for accessing timely and relevant information from diverse scientific disciplines.
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Targeting hypoxia-inducible factors: therapeutic opportunities and challenges
Hypoxia-inducible factors (HIFs) are highly conserved transcription factors that are crucial for adaptation of metazoans to limited oxygen availability. Recently, HIF activation and inhibition have emerged as therapeutic targets in various human diseases. Pharmacologically desirable effects of HIF activation include…
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Early Cancer Detection in Li–Fraumeni Syndrome with Cell-Free DNA
As you may have heard that Liquid biopsy has become an attractive tool for a range of clinical applications, including early cancer detection. Scientists investigates, “liquid biopsy shows earlier detection of cancer in patients with LFS compared with current clinical…
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AMG 509 (Xaluritamig), an Anti-STEAP1 XmAb 2+1 T-cell Redirecting Immune Therapy with Avidity-Dependent Activity against Prostate Cancer
Researchers promises that AMG 509 provides a targeted immunotherapy approach to engage a patient’s T cells to kill STEAP1-expressing tumor cells and represents a new treatment option for mCRPC and potentially more broadly for prostate cancer. Immunotherapy in prostate cancer…
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First-in-Human Study of the Reversible BTK Inhibitor Nemtabrutinib in Patients with Relapsed/Refractory Chronic Lymphocytic Leukemia and B-Cell Non–Hodgkin Lymphoma
A recent first-in-human phase I study shows the safety and preliminary efficacy of nemtabrutinib in patients with relapsed/refractory B-cell malignancies. These data support further exploration of nemtabrutinib in larger clinical studies.
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A new type of antibiotic targets a drug-resistant bacterium
It’s always been hard to treat the Infections caused by drug-resistant strains of the bacterium Acinetobacter baumannii in the clinic. For the same, scientists identified a new class of antibiotics with the potential to tackle these microbes.
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A global phase 3 study of serplulimab plus chemotherapy as first-line treatment for advanced squamous non-small-cell lung cancer (ASTRUM-004)
A recent study shows that First-line serplulimab plus chemotherapy improves PFS and OS and promises another treatment option for these patients. Their results demonstrate that adding serplulimab to chemotherapy significantly improves survival in advanced squamous NSCLC patients, with manageable safety.
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Interferon-stimulated neutrophils as a predictor of immunotherapy response
Researchers indentified interferon-stimulated, Ly6Ehi neutrophils as a blood-borne biomarker of anti-PD1 response in mice at baseline. Ly6Ehi neutrophils are induced by tumor-intrinsic activation of the STING (stimulator of interferon genes) signaling pathway and possess the ability to directly sensitize otherwise…
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Molecular insights into atypical modes of β-arrestin interaction with seven transmembrane receptors
Investigators studied β-arrestins (βarrs), crucial proteins in seven transmembrane receptor (7TMR) signaling. Using cryo–electron microscopy, they captured seven structural states of βarrs, showcasing their interactions in basal, muscarinic receptor subtype 2 (M2R)-activated, and βarr-biased decoy D6 receptor (D6R)-activated states. These…
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The energetic and allosteric landscape for KRAS inhibition
Despite numerous therapeutic protein targets being genetically-validated, the challenge remains in targeting proteins with elusive allosteric sites, especially those involved in protein-protein interactions. This study addresses the gap by mapping inhibitory allosteric communication in KRAS, a challenging target. The team…
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Discovery of a structural class of antibiotics with explainable deep learning
Researchers urgently seek novel antibiotics amidst the ongoing antibiotic resistance crisis. This study introduces a deep learning-guided approach, combining machine learning and explainable graph algorithms, to explore chemical spaces for potential antibiotics. Testing over 12 million compounds, the team identified…