Evidence map›Paper›PMID 37910594›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2024

Tumor Volume Growth Rates and Doubling Times during Active Surveillance of IDH-mutant Low-Grade Glioma.

Ankush Bhatia, Raquel Moreno, Anne S Reiner, Subhiksha Nandakumar, Henry S Walch, Teena M Thomas, Philip J Nicklin, Ye Choi, Anna Skakodub, Rachna Malani and 7 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Ankush Bhatia *Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-5292-2822
Raquel Moreno *Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-7729-7418
Anne S ReinerDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-1258-6112
Subhiksha NandakumarDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-0258-3484
Henry S WalchDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-1188-350X
Teena M ThomasDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-8352-6582
Philip J NicklinDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0009-0005-0869-3598
Ye ChoiDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0009-0002-6412-3125
Anna SkakodubDepartment of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-6753-7772
Rachna MalaniDepartment of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-2038-8738
Vivek PrabhakaranDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.ORCID 0000-0002-1974-3125
Pallavi TiwariDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.ORCID 0000-0001-9477-4856
Maria DiazDepartment of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-9103-0202
Katherine S PanageasDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-6591-604X
Ingo K MellinghoffDepartment of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-4347-8149
Tejus A Bale *Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-3641-9287
Robert J Young *Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-7003-3017

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Molecular Mechanisms of Drug Resistance in Primary Brain TumorsR35NS105109 · NINDS · SLOAN-KETTERING INST CAN RESEARCH · PI MELLINGHOFF, INGO K · 2018 to 2025
$4.7M
Radiomic spatial maps for identifying viable tumor extent on multi-parametric MRI for GlioblastomaR01CA277728 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Manmeet Ahluwalia, Pallavi Tiwari · 2024 to 2026
$3.0M
Quantitative imaging phenotypic classifier for distinguishing radiation effects from tumor recurrence in Glioblastoma .R01CA264017 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Manmeet Ahluwalia, Pallavi Tiwari · 2022 to 2026
$2.9M
RadxTools for assessing tumor treatment response on imagingU01CA248226 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI TIWARI, PALLAVI, VISWANATH, SATISH EASWAR · 2020 to 2022
$1.4M
Artificial Intelligence-based decision support for chemotherapy-response assessment in Brain TumorsI01BX005842 · VA · WM S. MIDDLETON MEMORIAL VETERANS HOSP · PI TIWARI, PALLAVI · 2023 to 2025
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BLRD VA I01 BX005842NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA264017NCI NIH HHS R01 CA277728NCI NIH HHS U01 CA248226NIH HHS P30 CA008748NINDS NIH HHS R35 NS105109
6 · The paper itself

Abstract

purposeIsocitrate dehydrogenase-mutant (IDH-mt) gliomas are incurable primary brain tumors characterized by a slow-growing phase over several years followed by a rapid-growing malignant phase. We hypothesized that tumor volume growth rate (TVGR) on MRI may act as an earlier measure of clinical benefit during the active surveillance period. EXPERIMENTAL

designWe integrated three-dimensional volumetric measurements with clinical, radiologic, and molecular data in a retrospective cohort of IDH-mt gliomas that were observed after surgical resection in order to understand tumor growth kinetics and the impact of molecular genetics.

resultsUsing log-linear mixed modeling, the entire cohort (n = 128) had a continuous %TVGR per 6 months of 10.46% [95% confidence interval (CI), 9.11%-11.83%] and a doubling time of 3.5 years (95% CI, 3.10-3.98). High molecular grade IDH-mt gliomas, defined by the presence of homozygous deletion of CDKN2A/B, had %TVGR per 6 months of 19.17% (95% CI, 15.57%-22.89%) which was significantly different from low molecular grade IDH-mt gliomas with a growth rate per 6 months of 9.54% (95% CI, 7.32%-11.80%; P < 0.0001). Using joint modeling to comodel the longitudinal course of TVGR and overall survival, we found each one natural logarithm tumor volume increase resulted in more than a 3-fold increase in risk of death (HR = 3.83; 95% CI, 2.32-6.30; P < 0.0001).

conclusionsTVGR may be used as an earlier measure of clinical benefit and correlates well with the WHO 2021 molecular classification of gliomas and survival. Incorporation of TVGR as a surrogate endpoint into future prospective studies of IDH-mt gliomas may accelerate drug development.

Indexed as

Brain NeoplasmsGliomaHomozygoteHumansIsocitrate DehydrogenaseMutationProspective StudiesRetrospective StudiesSequence DeletionTumor BurdenWatchful WaitingIsocitrate Dehydrogenase

Identifiers

PMID37910594
PMCPMC10841595

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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.