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.

Early Epigenetic and Metabolic Responses to the Adipocyte Secretome Reveal Stress-Adaptive States in Triple-Negative Breast Cancer

This study demonstrates that adipocyte-derived signals reprogram triple-negative breast cancer cells by coupling metabolic rewiring with selective chromatin opening to activate stress-adaptive gene programs, thereby enhancing their ability to buffer oxidative stress and survive.

Townsel, A., Jaffe, M., He, S., Wu, Y., Ingram, A., Tipton, M., Kemp, M. L., Henry, C. J., Haynes, K. A.2026-04-08📄 cancer biology

Integrating Fas-mediated apoptosis with IFNγ signaling to drive tumor regression in mRNA cancer therapeutics

This study demonstrates that intratumoral delivery of lipid nanoparticle-formulated mRNA encoding a membrane-bound IFNγ-FasICD fusion protein effectively drives tumor regression by simultaneously inducing direct Fas-mediated apoptosis in cancer cells and remodeling the tumor microenvironment to enhance systemic anti-tumor immunity.

Shin, H.-s., Kwon, S.-G., Lee, H., Lee, J.-O.2026-04-08📄 cancer biology

A Hierarchical Spatial Graph Neural Network Resolves Immunogenic and Tolerogenic Tertiary Lymphoid Structures in Renal Cell Carcinoma

This paper introduces a hierarchical graph neural network that leverages spatial transcriptomics to accurately distinguish between immunogenic and tolerogenic tertiary lymphoid structures in renal cell carcinoma, revealing that bulk CXCL13 expression often reflects non-TLS exhaustion rather than productive immunity and demonstrating the model's robustness through high clinical validation and cross-cancer generalization.

Peng, G.2026-04-08📄 cancer biology

CIViC MCP: Integrating Large Language Models with the Clinical Interpretations of Variants in Cancer

This paper introduces the CIViC MCP server, a tool that integrates large language models with the CIViC knowledgebase to enable users to query cancer variant data and receive rapid, natural language summaries of expertly curated clinical interpretations.

Schimmelpfennig, L. E., Cody, Q., McMichael, J., Coffman, A., Khanfar, M., Li, J., Yao, J., Saliba, J., Danos, A., Kiwala, S., Wagner, A. H., Sanz-Cruzado, J., Lever, J., Griffith, M., Griffith, O. L.2026-04-07📄 cancer biology

Mature tumoroids recapitulate clinically relevant drug response through extended 3D culture in PDAC

This study demonstrates that extending 3D culture of pancreatic ductal adenocarcinoma cells to form mature tumoroids reveals clinically relevant drug resistance and context-dependent vulnerabilities driven by time-dependent adaptation and ABC transporter upregulation, thereby addressing the translational gap between conventional short-term assays and patient outcomes.

Kus, K., Earnshaw, D., Pirog, A., Siewiera, M., Kote, S., Murzyn, A. A., Swierzewski, P., Malek-Trzonkowska, N., Sandowska-Markiewicz, Z., Unrug-Bielawska, K., Statkiewicz, M., Dama, P., Krzykawski, M (…)2026-04-07📄 cancer biology

Time-Resolved Transcriptomics Reveal Spliceosomal Disruption and Senescence Pathways in Crocin-Treated Hepatocellular Carcinoma Cells

Time-resolved transcriptomics reveals that crocin induces hepatocellular carcinoma cell senescence and suppresses proliferation by disrupting spliceosomal machinery and reprogramming metabolic pathways, offering a novel therapeutic mechanism for treating liver cancer.

Nelson, D. R., Chaiboonchoe, A., Fu, W., Alzahmi, A. S., Al-Hrout, A., Amin, A., Salehi-Ashtiani, K.2026-04-06📄 cancer biology

Integrative Transcriptomic and Machine Learning Analysis of ecDNA-Associated Features for Studying Chemotherapy Resistance in TNBC

This study integrates transcriptomic analysis and machine learning to demonstrate that the temporal accumulation of extrachromosomal DNA (ecDNA) and associated mutations in TNBC tumors drives chemotherapy resistance by altering gene expression and reducing drug binding affinity, with ecDNA burden identified as a dominant predictive feature for resistance to agents like paclitaxel and doxorubicin.

Iftehimul, M., Saha, D.2026-04-06📄 cancer biology

Cytokine-bearing Bacterial Outer Membrane Vesicles with Empowered Efficacy in Intratumoral Immunotherapy

This study demonstrates that engineered *E. coli* outer membrane vesicles displaying multiple cytokines, particularly a combination of TNF and IL-2, effectively eradicate syngeneic tumors in over 95% of mice by remodeling the tumor microenvironment through enhanced immune cell recruitment and activation.

Corbellari, R., Tomasi, M., Benedet, M., Gagliardi, A., Begaj, R., Zanella, I., Tamburini, S., Caproni, E., Shaba, E., Di Lascio, G., Facchini, V., Baraldi, C., Gambini, G., Berti, A., Lunardi, A., Bi (…)2026-04-06📄 cancer biology

Sustained interferon exposure creates a hyper-metastatic subset of melanoma cells

Sustained interferon exposure in inflamed regions of primary melanoma tumors drives the emergence of a hyper-metastatic subpopulation of cells with elevated CD47 expression that evades macrophage phagocytosis, illustrating how macrophages can paradoxically promote metastasis while attempting to suppress it.

Mannino, M., Wei, T., Moose, D. L., Knight, B., Piskounova, E., Shannon, A., Zhao, Z., Morrison, S. J.2026-04-05📄 cancer biology