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Journal of Hematopathology

, Volume 12, Issue 3, pp 109–119 | Cite as

Inconsistency associated with SOX11 immunohistochemistry in mantle cell lymphoma: a meta-analysis

  • Woojoo Lee
  • Eun Shin
  • Bo Hyung Kim
  • Hyunchul KimEmail author
Original Article
  • 53 Downloads

Abstract

SOX11 immunohistochemistry (IHC) in mantle cell lymphoma (MCL) is known to show varied results. Our aim was to evaluate the factor responsible for this variation among different studies. A meta-analysis was performed with the original data including the proportion and number of SOX11-positive MCL cases, host and clonality of SOX11 antibodies, clone or catalog number of antibodies, MCL subtypes, number of cases with indolent traits, number of aggressive variants, and cut-off for SOX11 IHC interpretation. A total of 21 published studies were analyzed. The combined proportion of SOX11-positive MCL cases was 0.80 (95% CI = [0.72, 0.87]), and substantial heterogeneity was observed (I2 = 83%). To explore sources of heterogeneity, subgroup analysis and meta-regression were done. Subgroup analysis with moderators of antibody clone or catalog number, antibody clonality, and monoclonal antibody clones showed substantial residual heterogeneity. Meta-regression with moderators of the proportion of cut-off value showed statistically significant result, although that with the aggressive cases did not. However, meta-regression with the cut-off value as a moderator showed substantial heterogeneity. The current meta-analysis of SOX11 immunohistochemistry in MCL showed the cut-off value to be important sources of overall heterogeneity.

Keywords

SOX11 Immunohistochemistry Mantle cell lymphoma Meta-analysis 

Notes

Author’s contributions

W. L.: data analysis and manuscript editing

E. S.: article selection, data extraction, and manuscript editing

B. K.: article selection and data extraction

H. K.: design and manuscript editing

Funding Information

Woojoo Lee was supported by a Grant from the Next-Generation BioGreen 21 program (Project No. PJ01337701), Rural Development Administration, Republic of Korea.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of StatisticsInha UniversityIncheonRepublic of Korea
  2. 2.Department of PathologyHallym University Dongtan Sacred Heart HospitalHwaseong-siRepublic of Korea
  3. 3.Department of Clinical Pharmacology and TherapeuticsKyung Hee University College of Medicine and HospitalSeoulRepublic of Korea
  4. 4.Department of Biomedical Science and Technology, Graduate SchoolKyung Hee UniversitySeoulRepublic of Korea

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