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New study identifies a vulnerability in small cell lung cancer – potential therapeutic approach via targeted inhibition

A study from the University of Cologne identified a critical dependency in small cell lung cancer that can be exploited therapeutically. Targeted inhibition of the NMD pathway offers a promising approach to treat SCLC by accumulating mutated proteins and presenting abnormal peptides on the cell surface, making it detectable to the immu...

SourceUniversity of Cologne·JournalMolecular Cancer·TypeExperimental study·DateSep 9, 2026

Cold Spring Harbor Laboratory and Northwell Health lead international cohort of researchers to develop more than 150 next-generation cancer treatment models

The Human Cancer Model Initiative released a compendium of more than 150 organoid models of 25 types of cancer, which are now available to scientists worldwide. These patient-derived organoids provide state-of-the-art research tools for accelerating discovery and developing personalized treatment strategies.

SourceCold Spring Harbor Laboratory·JournalNature·DateAug 5, 2026

Chinese Medical Journal Review highlights stable CircRNAs as non‑invasive biomarkers for cancer detection and therapy

Circulating circRNAs show high cell-type and tissue specificity, making them ideal for non-invasive cancer management. They can be detected in multiple body fluids and reflect treatment response, positioning them as functional drivers of therapy resistance.

SourceChinese Medical Journals Publishing House Co., Ltd.·JournalChinese Medical Journal·TypeLiterature review·DateJul 28, 2026

B-cell lymphoma: Cause of high-risk disease discovered

A new study has identified molecular tumor characteristics that distinguish between different subtypes of diffuse large B-cell lymphoma (DLBCL). The findings suggest that tumors from high-risk patients, referred to as PG4 proteogenotype, are characterized by specific genetic mutations and protein patterns. These characteristics can hel...

SourceGoethe University Frankfurt·JournalCancer Cell·TypeExperimental study·DateJul 3, 2026

Using patient-derived research models to study deadly DNA loops

Researchers used patient-derived xenograft (PDX) models to study deadly DNA loops in cancer cells. They found significant similarities between human tumor samples and PDX models, including consistent presence of extra copies of oncogenes. These findings suggest that ecDNA-positive tumor cells may drive tumor growth and recurrence.

SourceSanford Burnham Prebys·JournalGenome Medicine·TypeExperimental study·DateJun 5, 2026

Researchers identify drivers of resistance to KRAS inhibitors in colorectal cancer

Researchers at UT MD Anderson Cancer Center have uncovered genetic and cell-state adaptive mechanisms that drive resistance to KRAS inhibitors in patients with KRAS-mutant colorectal cancer. Targeting early inflammatory responses by adding TBK1 blockade may be a promising combination strategy to overcome treatment resistance.

Genetic risk and lifestyle jointly influence upper gastrointestinal cancer risk in a Chinese endoscopy-screened cohort

A Chinese endoscopy-screened cohort study found that genetic risk and lifestyle factors independently contribute to upper gastrointestinal cancer risk. Integrating genetic risk with lifestyle information may improve risk stratification and identify individuals most likely to benefit from screening and prevention.

SourceScience China Press·JournalScience Bulletin·TypeObservational study·DateMay 15, 2026

UT MD Anderson establishes Center for Cellular Language Intelligence with $10 million gift from Peggy and Carl Sewell

The Center for Cellular Language Intelligence will decipher the complex communications that govern tumor ecosystems, revealing principles of cellular organization and biological programs influencing cancer initiation and response. Led by Linghua Wang, the center aims to accelerate discovery and deliver new therapeutic targets, predicti...

SourceUniversity of Texas M. D. Anderson Cancer Center·TypeComputational simulation/modeling·DateApr 28, 2026

New computational biology tool automates and standardizes genome sequencing analysis

A new tool, metapipeline-DNA, automates and standardizes genome sequencing analysis, reducing the complexity of large and complicated data. The open-access resource, developed by Sanford Burnham Prebys and the University of California Los Angeles, aims to improve collaboration and reproducibility across research labs.

SourceSanford Burnham Prebys·JournalCell Reports Methods·TypeExperimental study·DateMar 17, 2026

Senolytic therapy of PDAC

Researchers explored using CDK4/6 inhibitors to treat PDAC by targeting RB1, which is often inactivated by oncogenic KRAS. This approach showed promise in inducing cellular senescence, but further combination therapy is needed for therapeutic benefit.

SourceKanazawa University·JournalCell Death and Differentiation·DateMar 13, 2026

Overcoming ovarian cancer’s resistance to immunotherapy

A new study demonstrates that blocking a signaling protein called FAK helps mobilize an anti-tumor immune response, allowing tumor-fighting cells to approach tumors and shift the behavior of other immune cells to work against them. This approach achieved the best effects on immune cell recruitment, tumor size reduction, and survival ti...

SourceSanford Burnham Prebys·JournalCell Reports·TypeExperimental study·DateMar 5, 2026

Cats could hold new keys to human cancer

Researchers analyzed tumour samples from almost 500 domestic cats across five countries, identifying specific driver genes that lead to cancer development. The study found similarities between cat and human cancers, including a common driver gene associated with worse prognosis in humans.

SourceUniversity of Guelph·JournalScience·TypeExperimental study·DateFeb 19, 2026

JMIR Publications’ JMIR Bioinformatics and Biotechnology invites submissions on Bridging Data, AI, and Innovation to Transform Health

The journal explores the convergence of computational biology, artificial intelligence, and healthcare innovation, with a focus on precision medicine and enhanced patient care. Submissions are accepted from researchers, clinicians, and technologists on topics such as AI in medicine, computational genomics, and drug discovery.