Evidence map›Paper›PMID 40420140›Full record

ArticleDiagnostic pathology2025

Immunohistochemical profile of non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) versus other thyroid follicular lesions.

Rehab Monir Samaka, Aiat Shaban Hemida, Hagar Alfouly, Mona A Kora

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Article in Diagnostic pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Rehab Monir SamakaPathology Department, Faculty of Medicine, Minufiya University, Menoufia, Shebin El-kom, 332511, Egypt.
Aiat Shaban HemidaPathology Department, Faculty of Medicine, Minufiya University, Menoufia, Shebin El-kom, 332511, Egypt.
Hagar AlfoulyPathology Department, Faculty of Medicine, Minufiya University, Menoufia, Shebin El-kom, 332511, Egypt.
Mona A KoraPathology Department, Faculty of Medicine, Minufiya University, Menoufia, Shebin El-kom, 332511, Egypt. mona.abdalhameed@med.menofia.edu.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA follicular thyroid tumour called Non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) poses crossing-over morphologic characteristics with more thyroid follicular lesions whether benign or cancerous nodules. This study focuses on analysing the expression of CD56, HBME-1, RRM2 and APLP2 IHC markers in NIFTP versus other thyroid follicular lesions and their diagnostic validity was also evaluated.

methodsone hundred and nine thyroidectomy specimens including 31 NIFTP, 34 non-neoplastic, 34 papillary thyroid carcinoma (PTC) and 10 invasive encapsulated follicular variant papillary thyroid carcinoma (IEFVPTC) cases, were acquired between 2019 and 2022 from the Menoufia University's Faculty of Medicine's Pathology Department. Tissue microarray construction (TMA) blocks were prepared and CD56, HBME-1, RRM2 and APLP2 immunostaining were performed.

resultsFor CD56, 64.5% of NIFTP, 97.1% of the non-neoplastic group and 0% of both PTC and IEFVPTC were positive. For HBME-1, 61.3% of NIFTP, 0% of non-neoplastic, 100% of PTC and 100% of IEFVPTC were positive. For RRM2, all cases of NIFTP and the non-neoplastic group were negative, 88.2% of PTC and 100.0% of IEFVPTC were positive. For APLP2, 90.3% of NIFTP, 100% of the non-neoplastic group, 100% of PTC and 100% of IEFVPTC were positive. In differentiating NIFTP from non-neoplastic cases, the most sensitive marker was CD56 at H-score < 225 (sensitivity 95%) and the most specific was HBME-1 (specificity 100%). In various combinations, the panel of combined HBME-1 with either CD56 or APLP-2 improves their specificity (96.67% and 100% respectively) and the diagnostic accuracy (86.79 and 83.87, respectively) and therefore, combined HBME-1 and CD56 seems to be the most significant than using a single marker. In differentiation between NIFTP and PTC/IEFVPTC, the most sensitive marker was RRM2 (100% sensitivity for both groups) with the highest diagnostic accuracy (93.85% and 100%, respectively) and the most specific was CD56 (specificity 100% for both groups).

conclusionsImmunohistochemical markers such as CD56, HBME-1, RRM2, and APLP2 may aid in the diagnosis of NIFTP and its distinction from other follicular lesions.

Indexed as

Adenocarcinoma, FollicularBiomarkers, TumorThyroid Cancer, PapillaryThyroid NeoplasmsAdultAgedAntigens, NeoplasmCD56 AntigenFemaleHumansImmunohistochemistryMaleMiddle AgedRibonucleoside Diphosphate ReductaseYoung AdultAntigens, NeoplasmBiomarkers, TumorCD56 AntigenHBME-1 antigenNCAM1 protein, humanRibonucleoside Diphosphate Reductaseribonucleotide reductase M2APLP2CD56 and HBME-1DiagnosisNIFTPRRM2Thyroid follicular lesions

Identifiers

PMID40420140
PMCPMC12105278

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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 Socratic graph.