Evidence map›Paper›PMID 30496526›Full record

ArticleNeuro-oncology2019

Financially effective test algorithm to identify an aggressive, EGFR-amplified variant of IDH-wildtype, lower-grade diffuse glioma.

Tejus A Bale, Justin T Jordan, Otto Rapalino, Nisha Ramamurthy, Nicholas Jessop, John C DeWitt, Valentina Nardi, Maria Martinez-Lage Alvarez, Matthew Frosch, Tracy T Batchelor and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Neuro-oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Biomedicines · 2022
    Article
  10. Review
  11. Prognostic and Predictive Biomarkers in Gliomas.International journal of molecular sciences · 2021
    Review
  12. Article
  13. MRI Features May Predict Molecular Features of Glioblastoma inAJNR. American journal of neuroradiology · 2021
    Article
  14. Review
  15. Review
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  18. Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Tejus A BaleDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
Justin T JordanDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
Otto RapalinoDepartment of Radiology, Division of Neuroradiology, Boston, Massachusetts.
Nisha RamamurthyDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
Nicholas JessopDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
John C DeWittDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
Valentina NardiDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
Maria Martinez-Lage AlvarezDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
Matthew FroschDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
Tracy T BatchelorDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
David N LouisDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
A John IafrateDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
Daniel P CahillDepartment of Neurosurgery, Boston, Massachusetts.
Jochen K LennerzDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts.
Massachusetts General Hospital · USMemorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Reader Accuracy in Pathology Interpretation and Diagnosis: Perception and Cognition (RAPID-PC)R01CA225585 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ELMORE, JOANN G, WEAVER, DONALD LEE · 2018 to 2022
$3.2M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA225585
6 · The paper itself

Abstract

backgroundUpdate 3 of the Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy (cIMPACT-NOW) recognizes amplification of epidermal growth factor receptor (EGFR) as one important aberration in diffuse gliomas (World Health Organization [WHO] grade II/III). While these recommendations endorse testing, a cost-effective, clinically relevant testing paradigm is currently lacking. Here, we use real-world clinical data to propose a financially effective diagnostic test algorithm in the context of new guidelines.

methodsTo determine the prevalence, distribution, neuroradiographic features (Visually Accessible REMBRANDT Images [VASARI]), and prognostic relevance of EGFR amplification in lower-grade gliomas, we assembled a consecutive series of diffuse gliomas. For validation we included publicly available data from The Cancer Genome Atlas. For a cost-utility analysis we compared combined EGFR and isocitrate dehydrogenase (IDH) testing, EGFR testing based on IDH results, and no EGFR testing.

resultsIn n = 71 WHO grade II/III gliomas, we identified EGFR amplification in 28.2%. With one exception, all EGFR amplifications occurred in IDH-wildtype gliomas. Comparison of overall survival showed that EGFR amplification denotes a significantly more aggressive subset of tumors (P < 0.0001, log-rank). The radiologic phenotype in the EGFR-amplified tumors includes diffusion restriction (15%, P = 0.02), >5% tumor contrast enhancement (75%, P = 0.016), and mild (not avid) enhancement (P = 0.016). The proposed testing algorithm reserves EGFR fluorescence in situ hybridization (FISH) testing for IDH-wildtype cases. Implementation would result in ~37.9% cost reduction at our institution, or about $1.3-4 million nationally.

conclusionEGFR-amplified diffuse gliomas are "glioblastoma-like" in their behavior and may represent undersampled glioblastomas, or subsets of IDH-wildtype diffuse gliomas with inherently aggressive biology. EGFR FISH after IDH testing is a financially effective and clinically relevant test algorithm for routine clinical practice.

Indexed as

AlgorithmsMutationAdolescentAdultAgedAged, 80 and overBiomarkers, TumorBrain NeoplasmsChildChild, PreschoolErbB ReceptorsFemaleFollow-Up StudiesGliomaHumansIsocitrate DehydrogenaseBiomarkers, TumorEGFR protein, humanErbB ReceptorsIsocitrate Dehydrogenaseglioblastoma-like gliomaVASARIWHO grade II/III

Identifiers

PMID30496526
PMCPMC6502496
OpenAlexW2902712209

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.