📄 Category

cancer biology

256 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.

📄 cancer biology

Mutant p53 Directs PARP to Regulate Replication Stress and Drive Breast Cancer Metastasis

This study reveals that mutant p53 (specifically the R273H variant) hijacks PARP via its C-terminal domain to facilitate replication stress adaptation and drive breast cancer metastasis, a mechanism that can be selectively targeted by the synergistic combination of the PARP inhibitor talazoparib and the alkylating agent temozolomide to suppress tumor growth and metastasis in triple-negative breast cancer models.

Xiao, G., Annor, G. K., Harmon, K. W., Chavez, V., Levine, F., Ahuno, S., St. Jean, S. C., Madorsky Rowdo, F. P., Leyben (…)2026-03-28
📄 cancer biology

Proteogenomic profiling of soft tissue leiomyosarcoma reveals distinct molecular subtypes with divergent outcomes and therapeutic vulnerabilities

This study establishes a proteogenomic framework for soft tissue leiomyosarcoma by identifying three distinct molecular subtypes with unique signaling pathways, clinical outcomes, and therapeutic vulnerabilities, including a validated immunohistochemical classifier for clinical application.

Tanaka, A., Ogawa, M., Otani, Y., Hendrickson, R. C., Zhuoning, L., Agaram, N. P., Klimstra, D. S., Wang, J. Y., Wei, W. (…)2026-03-27
📄 cancer biology

MutationAssessor in cBioPortal

This paper presents the updated MutationAssessor (r4) within cBioPortal, which leverages refined evolutionary conservation analysis and expanded protein sequence data to provide functional impact scores for approximately 4 million somatic mutations across over 320,000 human tumor samples, while validating its predictions against clinical databases and germline variant frequencies.

Su, Y., Li, X., Reva, B., Antipin, Y., Schultz, N., de Bruijn, I., Sander, C.2026-03-25
📄 cancer biology

Interferon-independent STING enforces epithelial genome-integrity checkpoint to restrain tumor evolution

This study reveals that STING functions as an interferon-independent, cell-autonomous guardian of epithelial genome stability by regulating homologous recombination and ATM signaling to prevent chromosomal instability and tumor evolution, while its loss creates a selective vulnerability to CDK inhibition.

Xiang, H., Marcino, M., Woitaske-Proske, C., Bodenstein, N., Bernardes, J. P., Schmid, N. A., Martini, G. R., Wotawa, F. (…)2026-03-25
📄 cancer biology

Magnetic field-induced ER stress reprograms the tumor microenvironment to improve triple-negative breast cancer survival

This study demonstrates that low-intensity alternating magnetic field therapy (Asha) improves survival and reduces metastasis in triple-negative breast cancer by inducing tumor cell ER stress, which triggers interferon-mediated immune reprogramming of the tumor microenvironment and sensitizes tumors to anti-PD1 checkpoint blockade.

Sharma, V., Khantwal, C., Konwar, K.2026-03-25
📄 cancer biology

Nonlocal Proliferation and Explosive Tumour Dynamics: Mechanistic Modelling and Bayesian Inference

This paper introduces a mechanistic nonlocal tumour-growth model featuring singular acceleration to explain explosive dynamics observed in empirical scaling laws, providing rigorous mathematical analysis of finite-time blow-up and stability while employing Bayesian inference to quantify model parameters and predict critical escalation thresholds from data.

Kavallaris, N., Javed, F.2026-03-25
📄 cancer biology

Transcriptomic atlas of premalignant oral squamous cell carcinoma in an aging mouse model reveals an enhanced immune response and dysregulation of head and neck tissue stem cells

This study establishes an aging, male-biased mouse model of tobacco-related oral premalignancy to generate a transcriptomic atlas that reveals enhanced immune responses and stem cell dysregulation as key drivers of oral squamous cell carcinoma progression.

Kletzien, H., Nguyen, N.-A., Jena, S. G., Buenrostro, J. D., Wagers, A. J.2026-03-24
📄 cancer biology

Multi-omics analysis of the potential of MACC1 as a biomarker and therapeutic target for colonic adenocarcinoma

This multi-omics study utilizing bioinformatics analysis of public datasets identifies MACC1 as a potential prognostic biomarker and therapeutic target for colonic adenocarcinoma, characterized by its elevated expression in Wnt and chromatin modifier pathways, association with DNA damage repair, and negative correlation with immune cell infiltration.

Zhang, Y., Chen, Z., Zheng, C., Peng, X., Lu, Y., Zhang, J., Sun, P.2026-03-24