161 papers
Cancer biology explores the complex ways cells grow out of control, investigating the genetic mutations and environmental factors that drive tumor formation. This field seeks to understand how healthy cells transform into malignant ones and how these rogue cells spread throughout the body. By decoding these fundamental mechanisms, researchers aim to develop more effective treatments that target the disease at its source while sparing healthy tissue.
At Gist.Science, we process every new preprint published in this category directly from bioRxiv to ensure you stay ahead of the curve. Our team provides both accessible plain-language overviews and detailed technical summaries for each study, bridging the gap between raw research data and practical understanding. Whether you are a specialist or a curious reader, our goal is to make these critical findings clear and actionable.
Below are the latest papers in cancer biology, offering fresh insights into the ongoing fight against this disease.
This study introduces TumorSim, an agent-based model analogous to GranSim, to compare the spatiotemporal immune dynamics of small cell lung cancer and tuberculosis granulomas, revealing shared two-phase formation processes and the dual, context-dependent role of CCL5 in tumor progression.
This study demonstrates that structurally unique benzoxaboroles selectively and stereoselectively bind to the cap-binding pocket of eukaryotic translation initiation factor 4E (eIF4E) through specific hydrogen bonding interactions, offering a promising new avenue for targeting this challenging drug site.
This study introduces Polymer-based Leukemic STem-cell Cultures (PLSTCs) to efficiently expand and trace Acute Myeloid Leukemia stem cells, revealing distinct clonal drivers of therapy resistance and identifying chondroitin-sulfate synthesis as a critical target for maintaining primitive stem cell states.
This study demonstrates that complex deep learning domain adaptation methods fail to outperform simple gradient boosting baselines in predicting single-cell anti-cancer drug sensitivity, revealing that performance gains primarily stem from target-informed hyperparameter tuning and sparse label supervision rather than adaptation strategies.
This study demonstrates that Sox10 is essential for tumor initiation, cancer stem cell activity, and metastasis in HER2+ mammary cancers, as its genetic ablation prevents tumor formation and reprograms luminal tumor cells into a basal phenotype.
This study reveals that cancer cells adapting to drug stress undergo a non-random, selection-independent process of mega-frequency mutagenesis during pseudo-senescence, generating tens of thousands of precise, recurrent mutations at specific transcription factor binding sites that drive drug resistance.
This study reveals that in aggressive acute myeloid leukemia, eIF4E and Ezrin physically interact within pseudopods to establish a localized translation program (T-PODs) that drives cell motility and disease progression, a mechanism validated using the novel VISTA-R technique for visualizing active ribosomes in situ.
This study characterizes the diverse landscape of KIT mutations in Asian melanoma and demonstrates that specific variants exhibit distinct drug sensitivities, thereby establishing a critical evidence base to replace the current "one-size-fits-all" treatment approach with genotype-guided precision medicine strategies.
This study reveals that physiologic hypoxia in lung cancer induces translational arrest and sequestration of MHC class I antigen processing pathway mRNAs into stress granules, thereby blocking immunopeptide presentation and establishing a state of "immunogenic dormancy" that facilitates immune escape.
This study integrates network biology and machine learning to identify Aminoadipate Semialdehyde Synthase (AASS) as a novel prognostic metabolic tumor suppressor biomarker in triple-negative breast cancer.