Evidence map›Paper›PMID 39225726›Full record

ArticleVirchows Archiv : an international journal of pathology2024

EIF1AX mutation in thyroid nodules: a histopathologic analysis of 56 cases in the context of institutional practices.

Rita Abi-Raad, Bin Xu, Syed Gilani, Ronald A Ghossein, Manju L Prasad

Abstract read
In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Rita Abi-RaadDepartment of Pathology, Yale University School of Medicine, 310 Cedar Street, CB 510, New Haven, CT, 06520, USA. rita.abiraad@yale.edu.ORCID http://orcid.org/0000-0003-2040-1146
Bin XuDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Syed GilaniDepartment of Pathology, Yale University School of Medicine, 310 Cedar Street, CB 510, New Haven, CT, 06520, USA.
Ronald A GhosseinDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Manju L PrasadDepartment of Pathology, Yale University School of Medicine, 310 Cedar Street, CB 510, New Haven, CT, 06520, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
National Institutes of Health/National Cancer Institute P30CA008748NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

EIF1AX mutation has been identified as a driver mutation for papillary thyroid carcinoma (PTC) by The Cancer Genome Atlas (TCGA) study. Subsequent studies confirmed this mutation in PTC and Anaplastic Thyroid Carcinoma (ATC) but also reported EIF1AX mutation in Follicular nodular disease (FND) and benign thyroid nodules. In this study, we review thyroid nodules with EIF1AX mutation from two institutions: a tertiary care hospital (YNHH, n = 22) and a major cancer referral center (MSKCC, n = 34) and report the varying histomorphology in the context of additional genetic abnormalities and institutional practices. Pathology diagnoses were reviewed according to the WHO 5th edition and correlated with the type of EIF1AX mutation and additional concurrent molecular alterations, if any. Most cases were splice site type mutations. Cases consisted of 9 FND, 7 follicular (FA) or oncocytic adenomas (OA), 2 non-invasive follicular thyroid neoplasms with papillary-like nuclear features (NIFTP) and 38 follicular-cell derived thyroid carcinomas. Of 8 cases with isolated EIF1AX mutation, 7 were FND, FA or OA (88%) and one was an oncocytic carcinoma (12%). Of 12 cases with EIF1AX and one additional molecular alteration, 9 (75%) were FND, FA or OA, 2 (17%) were NIFTPs and one (8%) was a poorly differentiated thyroid carcinoma. All 36 cases with EIF1AX mutation and

Indexed as

Eukaryotic Initiation Factor-1MutationThyroid NeoplasmsThyroid NoduleAdenocarcinoma, FollicularAdultAgedFemaleHumansMaleMiddle AgedEukaryotic Initiation Factor-1eukaryotic peptide initiation factor-1AEIF1AXMolecular alterationsRisk of malignancy (ROM)ThyroidTumorigenesis

Identifiers

PMID39225726
PMCPMC11912518

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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.