Summary: Researchers uncovered thousands of previously unannotated, tumor-specific genetic isoforms that had remained completely undetected by conventional short-read sequencing. Importantly, a subset of these novel isoforms is predicted to bind strongly to major histocompatibility complex (MHC) class I molecules, serving as a newly identified class of potential neoantigens. This atlas provides an essential analytical framework and expands the pool of actionable targets for next-generation personalized cancer vaccines and immunotherapies in adult neuro-oncology.
Key Facts
- Unprecedented Cellular Atlas: Map constructed from single-cell long-read RNA sequencing data across more than 210,000 individual cells derived from 27 glioblastoma patients.
- Overcoming Short-Read Limits: Short-read sequencing fragments genetic material, making full-length isoform identification impossible at single-cell resolution; long-read technology bypasses this barrier.
- Tumor-Specific Neoantigens: Identifies thousands of novel isoforms present exclusively in glioblastoma cells and completely absent from healthy tissues.
- Immunological Presentation: A distinct subset of tumor-specific isoforms is predicted to bind MHC Class I molecules with high affinity, presenting abnormal proteins to T cells.
- Translational Pipeline: Provides a validated analytical framework for clinical long-read single-cell transcriptomics to accelerate precision oncology and vaccine design worldwide.
Source: Hong Kong University
Researchers from the Clinical Neuroscience Consortium (CNC), a collaborative platform jointly established by the LKS Faculty of Medicine of the University of Hong Kong (HKUMed) and Queen Mary Hospital, in collaboration with the Hong Kong Genome Institute (HKGI), have achieved a major breakthrough in brain cancer research by developing the most comprehensive map to date of isoform diversity in glioblastoma, the most common and aggressive form of brain cancer in adults.
Using advanced long-read single-cell sequencing, the team uncovered thousands of previously unknown tumour-specific genetic isoforms that had remained invisible to conventional approaches. The discovery reveals a new source of potential therapeutic targets, including candidates that could be harnessed for future personalised cancer vaccines and immunotherapies.
The findings were published in Nature Communications.
Revealing a previously unseen layer of tumour biology
Glioblastoma is notoriously difficult to treat because tumour cells within the same patient can behave, grow and respond to treatment differently. Understanding this cellular diversity is essential for developing more effective therapies.
Every gene in the human body can produce slightly different versions of its genetic instructions, known as isoforms. These variations can profoundly influence cellular function and in cancer, may determine whether tumour cells are recognised by the immune system or evade detection. Until now, the technology used to study individual cancer cells could read only short fragments of genetic information, limiting researchers’ ability to study full-length isoforms in individual cells.
CNC Chapter Lead (Brain Tumour) Dr Aya El Helali, Clinical Assistant Professor, Department of Clinical Oncology, Centre of Cancer Medicine, School of Clinical Medicine, HKUMed, said, ‘Using long-read sequencing and data from over 210,000 individual cells from 27 glioblastoma patients, the research team built the most comprehensive map of isoform diversity to date, encompassing both tumour cells and the surrounding immune and stromal cells that make up the tumour microenvironment. The study identified thousands of previously unannotated isoforms, including numerous novel isoforms found exclusively in tumour cells and absent from healthy tissues.’
Importantly, a subset of these tumour-specific isoforms was predicted to bind strongly to major histocompatibility complex (MHC) class I molecules, which are responsible for presenting abnormal proteins to the immune system, enabling immune cells to recognise and target potentially harmful cells. These findings suggest that the newly identified isoforms may serve as potential neoantigens that could be targeted by future immunotherapies.
The researchers also established and validated an analytical framework for isoform discovery using clinical long-read single-cell data, providing a foundation for cancer researchers worldwide.
Opening the door to personalised cancer vaccines
Glioblastoma remains one of the greatest challenges in neuro-oncology because of its remarkable cellular diversity. While the discovery does not immediately change current treatment options for glioblastoma patients, it has important implications for the future development of precision oncology and personalised immunotherapy.
One of the most promising frontiers in oncology is the development of personalised anti-cancer vaccines designed to train a patient’s immune system to recognise and eliminate cancer cells. The success of these vaccines depends on identifying high-quality targets that are unique to each patient’s tumour.
‘Our discovery of tumour-specific isoforms reveals a new class of potential neoantigens and suggests that many promising therapeutic targets may have remained entirely invisible to existing approaches,’ said Dr Brian Chung Hon-yin, Interim CEO of the HKGI, and Clinical Associate Professor, Department of Paediatrics & Adolescent Medicine, School of Clinical Medicine, HKUMed.
‘By expanding the pool of candidate neoantigens available for personalised cancer vaccines and immunotherapies, our research findings represent an important step towards next-generation immunotherapies for brain cancer and open the door to more precise and individualised treatment strategies for patients with glioblastoma.’
Unique advantages of partnering with HKGI shape future breakthroughs
The study highlights the strengths of Hong Kong’s biomedical research ecosystem and the significance of close collaboration among clinicians, surgeons, oncologists and genomics scientists.
Professor Gilberto Leung Ka-kit, Convenor of the CNC, Tsang Wing-Hing Professor in Clinical Neuroscience and Clinical Professor in the Department of Surgery, School of Clinical Medicine, HKUMed, remarked, ‘Conducted through this interdisciplinary partnership, the project demonstrates Hong Kong’s capability to generate impactful, translational genomics research, contributing to the region’s growing role in precision medicine and biotechnology.’
About the research team
Members of the research team included CNC Chapter Lead (Brain Tumour) Dr Aya El Helali, Clinical Assistant Professor, Department of Clinical Oncology, Centre of Cancer Medicine; Dr Brian Chung Hon-yin, Interim CEO of the HKGI, Clinical Associate Professor, Department of Paediatrics & Adolescent Medicine; CNC Convenor Professor Gilberto Leung Ka-kit, Tsang Wing-Hing Professor in Clinical Neuroscience and Clinical Professor, Department of Surgery; and Dr Karrie Kiang, Research Assistant Professor, Department of Surgery, all under the School of Clinical Medicine, HKUMed.
Key Questions Answered:
A: Glioblastoma exhibits extreme cellular and transcriptomic heterogeneity. Standard short-read sequencing breaks RNA into tiny fragments, which obscures how different exons are combined into full-length isoforms. This structural blindness prevented researchers from detecting thousands of altered proteins that exist exclusively within cancer cells.
A: Isoforms unique to tumor cells produce altered protein sequences not found in healthy tissue. When these aberrant proteins are processed and displayed on the cell surface by MHC Class I molecules, they act as neoantigens. Personalized vaccines can train a patient’s immune system to recognize these precise neoantigen targets while sparing healthy brain tissue.
A: No, it does not immediately alter current standard-of-care treatments like surgery, radiation, or chemotherapy. However, it establishes the fundamental target library and computational framework needed to engineer next-generation personalized immunotherapies and mRNA cancer vaccines currently in translational development.
Editorial Notes:
- This article was edited by a Neuroscience News editor.
- Journal paper reviewed in full.
- Additional context added by our staff.
About this brain cancer research news
Author: Jaymee Ng
Source: University of Hong Kong
Contact: Jaymee Ng – University of Hong Kong
Image: The image is credited to Neuroscience News
Original Research: Open access.
“Mapping glioblastoma’s isoform diversity using long-read single-cell analysis” by Wenshu Tang, Cario W. S. Lo, Annie T. W. Chu, Wing Lun Lee, Dingyuan Wang, Karrie Mei-Yee Kiang, Lai-Fung Li, Gilberto K. K. Leung, Hong Kong Genome Project, Aya El Helali & Brian H. Y. Chung. Nature Communications
DOI:10.1038/s41467-026-72258-2
Abstract
Mapping glioblastoma’s isoform diversity using long-read single-cell analysis
Glioblastoma is a highly aggressive brain tumor with poor prognosis, partly driven by extensive intratumoral heterogeneity and widespread dysregulation of RNA splicing. Alternative splicing shapes cellular identity and function and contributes to tumor progression and treatment resistance.
While single-cell RNA sequencing has revealed diverse cellular states within glioblastoma, conventional short-read approaches cannot resolve full-length isoforms.
Here, we apply single-cell long-read RNA sequencing to construct an isoform-level atlas of glioblastoma. By capturing full-length transcripts at single-cell resolution, hundreds of isoforms with differential transcript usage across distinct tumor cell populations are identified.
We develop a framework to prioritize tumor-restricted isoforms and identify surface-intracellular target pairs in seven patients, suggesting opportunities for dual-specific ligand-based therapies.
Furthermore, 6524 isoforms absent from existing annotations are discovered, including 179 that are tumor-specific. Peptides derived from these isoforms show strong predicted binding to major histocompatibility complex class I molecules, highlighting their potential as neoantigens.
