Literature DB >> 15156099

Immunoglobulin repertoire of B lymphocytes infiltrating breast medullary carcinoma.

B Kotlan1, P Simsa, J Foldi, W H Fridman, M Glassy, M McKnight, J L Teillaud.   

Abstract

Tumor specific peptides recognized by T lymphocytes infiltrating solid tumors, as well as the corresponding T cell receptor (TcR) repertoire usage, have been extensively investigated. By contrast, tumor infiltrating B cells and their immunoglobulin (Ig) repertoire have been studied only in a limited number of tumors. The objective of the present study was to determine, whether DNA sequence analysis of the expressed immunoglobulin variable regions of B cells that infiltrate breast cancer, could be used to reveal a potential specific tumor binding capacity of the antibodies. To answer this question, about 200 expressed Ig heavy (VH) and light chain variable gene (VL) regions were cloned, sequenced and comparatively analysed from a typical medullary beast carcinoma (MBC), where the massive B and plasma cell infiltration correlates with favourable prognosis despite of its high grade. The tumor infiltrating B cell Ig heavy and light chain sequences could be classified into clusters, families and subgroups, based on the identity level to germline, showing a pattern of oligoclonality. Some overrepresented clusters could be determined. In the course of a detailed analysis and search in Blastn database, a number of VH and VL sequences showed more than 99% homology to DNA sequences of Ig VH region, with proved tumor antigen binding capacity. Our data suggest, that potential tumor binder Ig VH and VL sequences might be selected using a detailed immunoglobulin variable region analysis. This new approach might have a benefit for further antibody engineering, as difficulties in search for tumor binders by phage library selection might be reduced and the time for selection shortened.

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Year:  2003        PMID: 15156099

Source DB:  PubMed          Journal:  Hum Antibodies        ISSN: 1093-2607


  6 in total

1.  Tumor-infiltrating B cell immunoglobulin variable region gene usage in invasive ductal breast carcinoma.

Authors:  Peter Simsa; Jean-Luc Teillaud; David I Stott; József Tóth; Beatrix Kotlan
Journal:  Pathol Oncol Res       Date:  2005-07-01       Impact factor: 3.201

Review 2.  Tertiary Lymphoid Structures: An Anti-tumor School for Adaptive Immune Cells and an Antibody Factory to Fight Cancer?

Authors:  Jean-Luc Teillaud; Marie-Caroline Dieu-Nosjean
Journal:  Front Immunol       Date:  2017-07-21       Impact factor: 7.561

3.  Tumor-associated immune factors are associated with recurrence and metastasis in non-small cell lung cancer.

Authors:  X Yan; S-C Jiao; G-Q Zhang; Y Guan; J-L Wang
Journal:  Cancer Gene Ther       Date:  2017-01-13       Impact factor: 5.987

4.  Challenging tumour immunological techniques that help to track cancer stem cells in malignant melanomas and other solid tumours.

Authors:  Beatrix Kotlan; Vanda Plotar; Klara Eles; Szabolcs Horvath; Timea Balatoni; Orsolya Csuka; Mihaly Újhelyi; Ákos Sávolt; Andras Szollar; Istvan Vamosi-Nagy; Laszlo Toth; Emil Farkas; Jozsef Toth; Miklos Kasler; Gabriella Liszkay
Journal:  Contemp Oncol (Pozn)       Date:  2018-03-05

5.  Sentinel lymph node B cells can predict disease-free survival in breast cancer patients.

Authors:  Kim R M Blenman; Ting-Fang He; Paul H Frankel; Nora H Ruel; Erich J Schwartz; David N Krag; Lee K Tan; John H Yim; Joanne E Mortimer; Yuan Yuan; Peter P Lee
Journal:  NPJ Breast Cancer       Date:  2018-08-23

6.  Using logistic regression to improve the prognostic value of microarray gene expression data sets: application to early-stage squamous cell carcinoma of the lung and triple negative breast carcinoma.

Authors:  David W Mount; Charles W Putnam; Sara M Centouri; Ann M Manziello; Ritu Pandey; Linda L Garland; Jesse D Martinez
Journal:  BMC Med Genomics       Date:  2014-06-10       Impact factor: 3.063

  6 in total

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