Literature DB >> 23162762

The antigen specific composition of melanoma tumor infiltrating lymphocytes?

Sine Reker Hadrup1.   

Abstract

Large numbers of tumor associated antigens has been characterized, but only a minor fraction of these are recognized by tumor infiltrating lymphocytes of melanoma, although these have shown the ability to recognize tumor and provide tumor regression upon adoptive transfer. Thus the peptide recognition of the majority of the CD8 tumor infiltrating lymphocytes remains to be identified.

Entities:  

Year:  2012        PMID: 23162762      PMCID: PMC3489750          DOI: 10.4161/onci.20303

Source DB:  PubMed          Journal:  Oncoimmunology        ISSN: 2162-4011            Impact factor:   8.110


Adoptive therapy with tumor infiltrating lymphocytes (TILs) from melanoma, pioneered by the group of Steven A. Rosenberg, and currently established in a small number of oncology-centers world-wide, has emerged as an important strategy to induce objective responses in metastatic melanoma patients. The TILs has shown both autologous and allogenic tumor cell recognition, but until recently very little was known about the antigen specific reactivity of these TIL preparations. Two publications by Sick Andersen et al. and Kvistborg et al. has recently demonstrated that TILs comprise T cells reactive against only a minor fraction of the previously described T cell epitopes of relevance for melanoma, and when peptide-specific responses were identified the frequency was often low (< 1% of total CD8+ T cells). To elucidate the recognition pattern of melanoma TILs both studies used a recently generated library of all published T cell epitopes of relevance for melanoma that includes 175 MHC-class I peptides restricted to HLA-A1, A2, A3, A11 and B7. Screening of peptide-specific T cell responses was conducted by MHC-multimers, generated by peptide exchange from conditional ligand-HLA complexes and combinatorially encoded with different fluorescence molecules to generate unique two-color codes allowing parallel detection of large numbers of different antigen specific T cells., Studies were conducted either for all mentioned alleles or for HLA-A2 only., Based on TILs from three different centers it was shown that T-cell populations recognizing described T cell epitopes are low-frequent and only a small fraction of the described melanoma-associated antigens are recognized. The most prominently recognized groups of antigens were differentiation antigens, with MART-1 and gp100 together accounting for more than half of the responses (Fig. 1). Strikingly few epitopes from the group of overexpressed antigens were recognized, and the majority of these were encoded in alternative open reading frames (ORFs). These observations induce a number of questions as to what else is recognized but yet not described, if these low-frequent tumor antigen specific populations are indeed sufficient for clinical responses, and if tolerance induction is prohibiting T cell responses in TILs against broadly expressed (cancer-overexpressed) antigens.

Figure 1. T-cell epitope specific reactivity in TILs. The illustration shows the distribution of the described T-cell epitopes of relevance for melanoma into four different antigen classes: Cancer-testis, Differentiation, Mutation, and Overexpressed antigens; and the distribution of the CD8+ T-cell responses found in TILs from 15 patients into the same four antigen-classes. An obvious caveat relates to the HLA-restriction of the different epitopes as this patient cohort where non-selected for HLA-expression.

Figure 1. T-cell epitope specific reactivity in TILs. The illustration shows the distribution of the described T-cell epitopes of relevance for melanoma into four different antigen classes: Cancer-testis, Differentiation, Mutation, and Overexpressed antigens; and the distribution of the CD8+ T-cell responses found in TILs from 15 patients into the same four antigen-classes. An obvious caveat relates to the HLA-restriction of the different epitopes as this patient cohort where non-selected for HLA-expression. The first obvious gap in our knowledge relates to the HLA-restriction of the described epitopes. In the database generated for all described tumor associated T cell epitopes 57% of all epitopes (326 of 576) are restricted to HLA-A2. Although this allele is frequently expressed in many different populations, even for an HLA-A2 positive individual the responses determined by the additional 5 HLA class I loci may be of equal importance for the tumor recognition as the HLA-A2 restricted recognition. Thus, if we would extrapolate the results based on the HLA-A2 restricted recognition (average percent antigen-specific TIL: 3.5%, ranging from 0–39%) and assume similar recognition by all 6 loci this may add up to on average 21% of the TILs recognizing described antigens (but non-identified epitopes). This frequency of antigen specific T cells is well matching the autologous tumor cell recognition observed in our cohort of TILs with available autologous tumor cell-lines. Here, we found that on average 9% of the CD8 TILs recognize INFγ treated autologous tumor cells as measured by combined secretion of INFγ and TNFα (Donia M., manuscript submitted). Another likely explanation for the detection of relatively few antigen specific T cells using this library of published T-cell epitopes of relevance for melanoma is the underrepresentation of mutated antigens. It was recently shown that mutated antigens can be a target for the immunoediting process and these “de-novo” antigens may drive the immunological recognition of tumors., Only one response was detected against this group of antigens, but it is likely that the majority of these responses are patient specific. Recent technological advantages in high-throughput sequencing and detection of T-cell responses will allow the identification of patient specific mutations and the recognition of these by patients TILs. The “de-novo” antigens represent an ideal source of targets for T-cell therapy, since they are exclusively expressed in the malignant cells, and no tolerance mechanisms has shaped the T-cell repertoire to abolish recognition of these. Tolerance mechanisms may indeed be part of the explanation for the few T-cell responses found against the group of overexpressed antigens, and even three out of four responses found against this group of antigens were directed against epitopes expressed by an alternative ORF. We are currently elucidating how prominent this observation is in relation to the overall appearance of T-cell epitopes in alternative ORFs. If we were able to identify the antigen specific T cells conveying most of the anti-tumor reactivity it would be ideal to selectively infuse these specific T cells instead of the whole T-cell culture. Antigen specific T cells can be selected by streptamers in a GMP controlled fashion, but at this stage it is still unclear what fraction of the tumor-cell recognition resides in the described antigen-specific fraction. Thus currently, selection based on autologous tumor may seem most relevant, but due to the delay in tumor cell-line establishment this is possible only for patients where TILs have been frozen to await for certain clinical parameters to develop/normalize. Furthermore, the impact of these low-frequent antigen specific T cell populations may serve as an indicator to the level of responses needed to convey clinical efficacy, also for other immunotherapeutic strategies. To this end, the surprising low frequencies, both in TILs and blood after transfer holds promise to other means of inducing anti-tumor immune reactivity.
  9 in total

1.  Dissection of T-cell antigen specificity in human melanoma.

Authors:  Rikke Sick Andersen; Charlotte Albæk Thrue; Niels Junker; Rikke Lyngaa; Marco Donia; Eva Ellebæk; Inge Marie Svane; Ton N Schumacher; Per Thor Straten; Sine Reker Hadrup
Journal:  Cancer Res       Date:  2012-02-06       Impact factor: 12.701

2.  Design and use of conditional MHC class I ligands.

Authors:  Mireille Toebes; Miriam Coccoris; Adriaan Bins; Boris Rodenko; Raquel Gomez; Nella J Nieuwkoop; Willeke van de Kasteele; Guus F Rimmelzwaan; John B A G Haanen; Huib Ovaa; Ton N M Schumacher
Journal:  Nat Med       Date:  2006-02-05       Impact factor: 53.440

3.  Parallel detection of antigen-specific T-cell responses by multidimensional encoding of MHC multimers.

Authors:  Sine Reker Hadrup; Arnold H Bakker; Chengyi J Shu; Rikke S Andersen; Jerre van Veluw; Pleun Hombrink; Emilie Castermans; Per Thor Straten; Christian Blank; John B Haanen; Mirjam H Heemskerk; Ton N Schumacher
Journal:  Nat Methods       Date:  2009-06-21       Impact factor: 28.547

4.  Adoptive cell transfer therapy following non-myeloablative but lymphodepleting chemotherapy for the treatment of patients with refractory metastatic melanoma.

Authors:  Mark E Dudley; John R Wunderlich; James C Yang; Richard M Sherry; Suzanne L Topalian; Nicholas P Restifo; Richard E Royal; Udai Kammula; Don E White; Sharon A Mavroukakis; Linda J Rogers; Gerald J Gracia; Stephanie A Jones; David P Mangiameli; Michelle M Pelletier; Juan Gea-Banacloche; Michael R Robinson; David M Berman; Armando C Filie; Andrea Abati; Steven A Rosenberg
Journal:  J Clin Oncol       Date:  2005-04-01       Impact factor: 44.544

5.  Reversible HLA multimers (Streptamers) for the isolation of human cytotoxic T lymphocytes functionally active against tumor- and virus-derived antigens.

Authors:  Julia Neudorfer; Burkhard Schmidt; Katharina M Huster; Florian Anderl; Matthias Schiemann; Gerd Holzapfel; Thomas Schmidt; Lothar Germeroth; Hermann Wagner; Christian Peschel; Dirk H Busch; Helga Bernhard
Journal:  J Immunol Methods       Date:  2007-01-31       Impact factor: 2.303

Review 6.  Cancer immunoediting: integrating immunity's roles in cancer suppression and promotion.

Authors:  Robert D Schreiber; Lloyd J Old; Mark J Smyth
Journal:  Science       Date:  2011-03-25       Impact factor: 47.728

7.  The IMGT/HLA database.

Authors:  James Robinson; Kavita Mistry; Hamish McWilliam; Rodrigo Lopez; Peter Parham; Steven G E Marsh
Journal:  Nucleic Acids Res       Date:  2010-11-11       Impact factor: 16.971

8.  TIL therapy broadens the tumor-reactive CD8(+) T cell compartment in melanoma patients.

Authors:  Pia Kvistborg; Chengyi Jenny Shu; Bianca Heemskerk; Manuel Fankhauser; Charlotte Albæk Thrue; Mireille Toebes; Nienke van Rooij; Carsten Linnemann; Marit M van Buuren; Jos H M Urbanus; Joost B Beltman; Per Thor Straten; Yong F Li; Paul F Robbins; Michal J Besser; Jacob Schachter; Gemma G Kenter; Mark E Dudley; Steven A Rosenberg; John B A G Haanen; Sine Reker Hadrup; Ton N M Schumacher
Journal:  Oncoimmunology       Date:  2012-07-01       Impact factor: 8.110

9.  Cancer exome analysis reveals a T-cell-dependent mechanism of cancer immunoediting.

Authors:  Hirokazu Matsushita; Matthew D Vesely; Daniel C Koboldt; Charles G Rickert; Ravindra Uppaluri; Vincent J Magrini; Cora D Arthur; J Michael White; Yee-Shiuan Chen; Lauren K Shea; Jasreet Hundal; Michael C Wendl; Ryan Demeter; Todd Wylie; James P Allison; Mark J Smyth; Lloyd J Old; Elaine R Mardis; Robert D Schreiber
Journal:  Nature       Date:  2012-02-08       Impact factor: 49.962

  9 in total
  3 in total

Review 1.  Cellular Immune Responses and Immune Escape Mechanisms in Breast Cancer: Determinants of Immunotherapy.

Authors:  Christoph Domschke; Andreas Schneeweiss; Stefan Stefanovic; Markus Wallwiener; Joerg Heil; Joachim Rom; Christof Sohn; Philipp Beckhove; Florian Schuetz
Journal:  Breast Care (Basel)       Date:  2016-04-27       Impact factor: 2.860

2.  The antimelanoma activity of the histone deacetylase inhibitor panobinostat (LBH589) is mediated by direct tumor cytotoxicity and increased tumor immunogenicity.

Authors:  David M Woods; Karrune Woan; Fengdong Cheng; Hongwei Wang; Patricio Perez-Villarroel; Calvin Lee; Maritza Lienlaf; Peter Atadja; Edward Seto; Jeffrey Weber; Eduardo M Sotomayor; Alejandro Villagra
Journal:  Melanoma Res       Date:  2013-10       Impact factor: 3.599

Review 3.  Receptor signaling, transcriptional, and metabolic regulation of T cell exhaustion.

Authors:  Mumtaz Y Balkhi
Journal:  Oncoimmunology       Date:  2020-04-14       Impact factor: 8.110

  3 in total

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