Evidence map›Paper›PMID 40666357›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Mapping T cell infiltration patterns in glioma tumor tissue.

Tiffaney Hsia, Ana K Escobedo, Syeda Maheen Batool, Emil Ekanayake, Gavin P Dunn, Bryan D Choi, Bob S Carter, Leonora Balaj

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Tiffaney HsiaDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA.ORCID 0000-0003-4526-2605
Ana K EscobedoDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Syeda Maheen BatoolDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Emil EkanayakeDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Gavin P DunnDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Bryan D ChoiDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
Bob S CarterDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA.ORCID 0000-0002-3586-1324
Leonora BalajDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA.ORCID 0000-0003-0931-9715

Funding

Imaging and Liquid Biopsy for Glioma Diagnosis and Treatment MonitoringR01CA239078 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BALAJ, LEONORA, LEE, HAKHO · 2020 to 2024
$3.1M
Standardized Molecular Analyses of Glioma EVsR01CA237500 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CARTER, BOB S, LEE, HAKHO · 2020 to 2024
$3.0M
Molecular subtyping of brain tumors using a blood-based multiplexed assayR01CA291826 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Leonora Balaj, Bob S Carter · 2025 to 2026
$1.3M
NCI NIH HHS R01 CA237500NCI NIH HHS R01 CA239078NCI NIH HHS R01 CA291826
6 · The paper itself

Abstract

Background: The glioma immune repertoire has emerged as a vital point of interest, particularly in the context of immunotherapeutics development and as a key player for prognostic and diagnostic biomarker identification. Methods: Tumor tissue was collected from glioma patients and targeted immune repertoire sequencing of tumor infiltrating lymphocytes (TIL) from each of the four collected glioma tumor subtypes was performed. Gliomas were stratified based on WHO21 classification to map the TCR landscape of astrocytomas (grade II/III, grade IV), glioblastomas, and oligodendrogliomas. Results: Following stratification of TCR repertoires and complete clonotype, V-J cassette, and CDR3 analysis, we identified cohort-specific levels of diversity, clonotype sharing, and conservation. Partitioning of these repertoires based on TCR diversity revealed significant influence on patient survival. Furthermore, mapping of CDR3 binding regions to antigens and their origins highlighted prognostic biomarkers and identified sequences binding to viral signatures associated with patient clinical outcomes. Conclusion: These findings underscore the importance of characterizing TCR repertoires in the context of the patient clinical condition. These unique repertoire signatures and correlated antigens may facilitate patient outcome prognostication and serve as a potential foundation for immunotherapeutic applications.

Indexed as

AstrocytomaGlioblastoma, GBMMalignant glial tumorsT cell receptor, TCRTumor infiltrating lymphocytes, TIL

Identifiers

PMID40666357
PMCPMC12262756

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.