Diagnostic Utility of GATA3 and ISL1 in Differentiating Neuroblastoma From Other Pediatric Malignant Small Round Blue Cell Tumors.

GATA3 ISL1 neuroblastoma small round blue cell tumor

Journal

International journal of surgical pathology
ISSN: 1940-2465
Titre abrégé: Int J Surg Pathol
Pays: United States
ID NLM: 9314927

Informations de publication

Date de publication:
Apr 2024
Historique:
pubmed: 14 6 2023
medline: 14 6 2023
entrez: 14 6 2023
Statut: ppublish

Résumé

Accurate diagnosis of neuroblastoma may be challenging, especially with limited or inadequate specimen and at the metastatic sites due to overlapping imaging, histopathologic, and immunohistochemical (immunohistochemistry [IHC]; infidelity among various lineage-associated transcription factors eg FLI1, transducin-like enhancer 1, etc) features. GATA3 and ISL1 have recently been described as markers of neuroblastic differentiation. This study aims at determining the diagnostic utility of GATA3 and ISL1 in differentiating neuroblastoma from other pediatric malignant small round blue cell tumors. We evaluated GATA3 and ISL1 expression in 74 pediatric small round blue cell tumors that included 23 All 23 neuroblastomas (moderate to strong staining in >50% of the tumor cells), 5 T-lymphoblastic lymphomas (moderate to strong staining in 40%-90% of the tumor cells), and 2 desmoplastic small round cell tumors (weak to moderate staining in 20%-30% of the tumor cells) expressed GATA3, while other tumors were negative. ISL1 immunoreactivity was observed in 22 (96%) neuroblastomas (strong staining in in >50% of the tumor cells, n  =  17; moderate to strong staining in 26%-50% of the tumor cells, n  =  5), 3 embryonal rhabdomyosarcoma (moderate to strong staining in 30%-85% of the tumor cells), 1 synovial sarcoma (weak staining in 20% of the tumor cells), and 7 medulloblastoma (strong staining in 60%-90% of the tumor cells). Other tumors were negative. Overall, GATA3 showed 86% specificity, 100% sensitivity, and 90% accuracy for neuroblastoma, with a positive predictive value (PPV) and negative predictive value (NPV) of 77% and 100%, respectively. ISLI showed 72% specificity, 96% sensitivity, and 81% accuracy for neuroblastoma, with a PPV and NPV of 67% and 97%, respectively. After the exclusion of T-lymphoblastic lymphoma and desmoplastic small round cell tumors, GATA3 had 100% specificity, sensitivity, accuracy, and PPV and NPV for neuroblastoma. Similarly, in pediatric small round blue cell tumors, ISL1 had 100% specificity, sensitivity, accuracy, PPV, and NPV for neuroblastoma, after embryonal rhabdomyosarcoma, synovial sarcoma, and medulloblastoma were excluded. GATA3 and ISL1 may be valuable in the diagnostic work-up of neuroblastoma and may reliably be used to support the neuroblastic lineage of pediatric small round blue cell tumors. Furthermore, dual positivity helps in challenging scenarios, when there is equivocal imaging, overlapping IHC features, limited specimen, and the lack of facility for a molecular work up.

Identifiants

pubmed: 37312579
doi: 10.1177/10668969231177700
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

294-303

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Sambit K Mohanty (SK)

Department of Pathology and Laboratory Medicine, Advanced Medical Research Institute, Bhubaneswar, Odisha, India.
Department of Pathology and Laboratory Medicine, CORE Diagnostics, Gurgaon, Delhi, India.

Preeti Diwaker (P)

Department of Pathology, University College of Medical Sciences, Delhi, India.

Sourav K Mishra (SK)

Department of Medical Oncology, Advanced Medical Research Institute, Bhubaneswar, Odisha, India.

Shilpy Jha (S)

Department of Pathology and Laboratory Medicine, Advanced Medical Research Institute, Bhubaneswar, Odisha, India.

Anandi Lobo (A)

Department of Pathology and Laboratory Medicine, Advanced Medical Research Institute, Bhubaneswar, Odisha, India.

Saroj P Panda (SP)

Department of Pediatric Oncology, Institute of Medical Sciences and SUM Hospital, Bhubaneswar, Odisha, India.

Shivani Sharma (S)

Department of Pathology and Laboratory Medicine, CORE Diagnostics, Gurgaon, Delhi, India.

Mohit Kumar (M)

Department of Pathology and Laboratory Medicine, CORE Diagnostics, Gurgaon, Delhi, India.

Samriti Arora (S)

Department of Pathology and Laboratory Medicine, CORE Diagnostics, Gurgaon, Delhi, India.

Vipra Mallik (V)

Department of Pathology and Laboratory Medicine, CORE Diagnostics, Gurgaon, Delhi, India.

Deepika Jain (D)

Department of Pathology and Laboratory Medicine, CORE Diagnostics, Gurgaon, Delhi, India.

Ekta Jain (E)

Department of Pathology and Laboratory Medicine, CORE Diagnostics, Gurgaon, Delhi, India.

Indranil Chakrabarti (I)

Department of Pathology, AIIMS, Kalyani, West Bengal, India.

Juhi Varshney (J)

Department of Pathology and Laboratory Medicine, CORE Diagnostics, Gurgaon, Delhi, India.

Arshi Beg (A)

Department of Pathology and Laboratory Medicine, CORE Diagnostics, Gurgaon, Delhi, India.

Mallika Dixit (M)

Department of Pathology and Laboratory Medicine, CORE Diagnostics, Gurgaon, Delhi, India.

Manas R Baisakh (MR)

Department of Pathology, Prolife Diagnostics, Bhubaneswar, Odisha, India.

Subhasini Naik (S)

Department of Pathology, Prolife Diagnostics, Bhubaneswar, Odisha, India.

Subrat K Sahoo (SK)

Department of Pediatric Surgery, Institute of Medical Sciences and SUM Hospital, Bhubaneswar, Odisha, India.

Mahmut Akgul (M)

Department of Pathology, Albany Medical Center, Albany, NY, USA.

Bonnie L Balzer (BL)

Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.

Mahul B Amin (MB)

Department of Pathology and Laboratory, University of Southern California Keck School, Los Angeles, CA, USA.

Anil V Parwani (AV)

Department of Pathology and Laboratory, Wexner Medical Center, Pathology, Columbus, OH, USA.

Classifications MeSH