Evidence map›Paper›PMID 35191501›Full record

ArticleMolecular cancer research : MCR2022

Selective Vulnerability of Senescent Glioblastoma Cells to BCL-XL Inhibition.

Masum Rahman, Ian Olson, Moustafa Mansour, Lucas P Carlstrom, Rujapope Sutiwisesak, Rehan Saber, Karishma Rajani, Arthur E Warrington, Adam Howard, Mark Schroeder and 12 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular cancer research : MCR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
7.8field-weighted citation impact, top 2% of its field
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

47 citing papers in PubMed, 57 citations in OpenAlex.

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  17. Cell death in glioblastoma and the central nervous system.Cellular oncology (Dordrecht, Netherlands) · 2025
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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

22 authors at 3 institutions in 2 countries.

Masum Rahman *Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-1777-948X
Ian Olson *Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota.
Moustafa MansourDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota.
Lucas P CarlstromDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-3568-740X
Rujapope SutiwisesakDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-4370-8706
Rehan SaberDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota.
Karishma RajaniDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota.
Arthur E WarringtonDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota.
Adam HowardDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota.
Mark SchroederDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota.
Sisi ChenDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota.
Paul A DeckerDepartment of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-3756-4227
Eliot F SananikoneArmy Public Health Command, Aberdeen Proving Ground, Aberdeen, Maryland.
Yi ZhuRobert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, Minnesota.
Tamar TchkoniaRobert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, Minnesota.
Ian F ParneyDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-9702-8047
Sandeep BurmaDepartment of Neurosurgery, Department of Biochemistry and Structural Biology, University of Texas Health Science Center, San Antonio, Texas.
Desmond BrownDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-2896-1722
Moses RodriguezDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota.
Jann N SarkariaDepartment of Radiation Oncology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-7489-4885
James L KirklandRobert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-1676-4905
Terry C BurnsDepartment of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0001-7633-3045
Mayo Clinic · USCECOM Software Engineering Center · USThe University of Texas Health Science Center at San Antonio · US

Funding

Targeting Cellular Senescence to Extend HealthspanP01AG062413 · NIA · MAYO CLINIC ROCHESTER · PI Sundeep Khosla, Nathan K LeBrasseur · 2019 to 2026
$28.7M
Trans Network ProjectU54CA210180 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WHITE, FOREST M · 2016 to 2020
$10.2M
Effect of Aging on Preadipocyte DifferentiationR37AG013925 · NIA · MAYO CLINIC ROCHESTER · PI KIRKLAND, JAMES L. · 2016 to 2025
$6.6M
Translational Geroscience NetworkR33AG061456 · NIA · MAYO CLINIC ROCHESTER · PI JAMES L. KIRKLAND, STEPHEN B. KRITCHEVSKY · 2019 to 2026
$6.2M
Pre-Clinical Novel Radiosensitizer Evaluation Program for Brain TumorsU01CA227954 · NCI · MAYO CLINIC ROCHESTER · PI SARKARIA, JANN N. · 2018 to 2022
$3.0M
Enhancing MAPK-targeted Therapy in PDX Models of BRAF-Mutant Pediatric Brain TumorsR01CA258381 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI BURMA, SANDEEP · 2021 to 2025
$2.8M
Radiation-induced senescence in the brain microenvironment: Implications for glioblastoma recurrence and therapyR01CA246807 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI BURMA, SANDEEP · 2021 to 2025
$1.8M
Research Training Program in Neuro-OncologyT32CA217836 · NCI · MAYO CLINIC ROCHESTER · PI O'NEILL, BRIAN PATRICK, VILE, RICHARD G. · 2018 to 2022
$1.4M
Impact of radiation-induced senescence on the glioblastoma microenvironmentR21NS109770 · NINDS · MAYO CLINIC ROCHESTER · PI BURNS, TERRY · 2019 to 2020
$439k
NCI NIH HHS R01 CA246807NCI NIH HHS R01 CA258381NCI NIH HHS T32 CA217836NCI NIH HHS U01 CA227954NCI NIH HHS U54 CA210180NIA NIH HHS P01 AG062413NIA NIH HHS R33 AG061456NIA NIH HHS R37 AG013925NINDS NIH HHS R21 NS109770
6 · The paper itself

Abstract

Glioblastoma (GBM) is a rapidly fatal malignancy typically treated with radiation and temozolomide (TMZ), an alkylating chemotherapeutic. These cytotoxic therapies cause oxidative stress and DNA damage, yielding a senescent-like state of replicative arrest in surviving tumor cells. Unfortunately, recurrence is inevitable and may be driven by surviving tumor cells eventually escaping senescence. A growing number of so-called "senolytic" drugs have been recently identified that are defined by their ability to selectively eliminate senescent cells. A growing inventory of senolytic drugs is under consideration for several diseases associated with aging, inflammation, DNA damage, as well as cancer. Ablation of senescent tumor cells after radiation and chemotherapy could help mitigate recurrence by decreasing the burden of residual tumor cells at risk of recurrence. This strategy has not been previously explored for GBM. We evaluated a panel of 10 previously described senolytic drugs to determine whether any could exhibit selective activity against human GBM persisting after exposure to radiation or TMZ. Three of the 10 drugs have known activity against BCL-XL and preferentially induced apoptosis in radiated or TMZ-treated glioma. This senolytic activity was observed in 12 of 12 human GBM cell lines. Efficacy could not be replicated with BCL-2 inhibition or senolytic agents acting against other putative senolytic targets. Knockdown of BCL-XL decreased survival of radiated GBM cells, whereas knockdown of BCL-2 or BCL-W yielded no senolytic effect. IMPLICATIONS: These findings imply that molecularly heterogeneous GBM lines share selective senescence-induced BCL-XL dependency increase the significance and translational relevance of the senolytic therapy for latent glioma.

Indexed as

GlioblastomaApoptosisCell Line, TumorCellular SenescenceHumansProto-Oncogene Proteins c-bcl-2SenotherapeuticsTemozolomideProto-Oncogene Proteins c-bcl-2SenotherapeuticsTemozolomide

Identifiers

PMID35191501
PMCPMC9196639
OpenAlexW4226134114

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.