Literature DB >> 34160685

T-cell responses and combined immunotherapy against human carbonic anhydrase 9-expressing mouse renal cell carcinoma.

Mamoru Harada1, Yuichi Iida2, Hitoshi Kotani2, Takafumi Minami3, Yoshihiro Komohara4, Masatoshi Eto5, Kazuhiro Yoshikawa6, Hirotsugu Uemura3.   

Abstract

Renal cell carcinoma (RCC) is known to respond to immune checkpoint blockade (ICB) therapy, whereas there has been limited analysis of T-cell responses to RCC. In this study, we utilized human carbonic anhydrase 9 (hCA9) as a model neoantigen of mouse RENCA RCC. hCA9-expressing RENCA RCC (RENCA/hCA9) cells were rejected in young mice but grew in aged mice. CD8+ T cells were the primary effector cells involved in rejection in young mice, whereas CD4+ T cells participated at the early stage. Screening of a panel of hCA9-derived peptides revealed that mouse CD8+ T cells responded to hCA9288-296 peptide. Mouse CD4+ T cells responded to lysates of RENCA/hCA9, but not RENCA cells, and showed reactivity to hCA9 276-290, which shares three amino acids with hCA9 288-296 peptide. Immunohistochemistry analysis revealed that few T cells infiltrated RENCA/hCA9 tissues in aged mice. ICB therapy of anti-PD-1/anti-CTLA-4 antibodies promoted T-cell infiltration into tumor tissues, whereas no definite antitumor effect was observed. However, additional combination with cyclophosphamide or axitinib, a vascular endothelial growth factor receptor inhibitor, induced complete regression in half of the RENCA/hCA9-bearing aged mice with increased expression of PD-L1 in tumor tissues. These results indicate that hCA9 can be a useful model neoantigen to investigate antitumor T-cell responses in mice with RCC, and that RENCA/hCA9 in aged mice can serve as a non-inflamed 'cold' tumor model facilitating the development of effective combined immunotherapies for RCC.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Carbonic anhydrase 9; Combined immunotherapy; Immune checkpoint blockade; Neoantigen; Renal cell carcinoma

Mesh:

Substances:

Year:  2021        PMID: 34160685     DOI: 10.1007/s00262-021-02992-7

Source DB:  PubMed          Journal:  Cancer Immunol Immunother        ISSN: 0340-7004            Impact factor:   6.968


  41 in total

Review 1.  The blockade of immune checkpoints in cancer immunotherapy.

Authors:  Drew M Pardoll
Journal:  Nat Rev Cancer       Date:  2012-03-22       Impact factor: 60.716

2.  [Immediate and late results of treating compression forms of lumbar osteochondrosis by the technic of puncture fenestration and decompression of the intervertebral disks].

Authors:  V V Shchedrenok; A N Sovakov; K I Sebelev
Journal:  Zh Nevropatol Psikhiatr Im S S Korsakova       Date:  1986

3.  Insertion-and-deletion-derived tumour-specific neoantigens and the immunogenic phenotype: a pan-cancer analysis.

Authors:  Samra Turajlic; Kevin Litchfield; Hang Xu; Rachel Rosenthal; Nicholas McGranahan; James L Reading; Yien Ning S Wong; Andrew Rowan; Nnennaya Kanu; Maise Al Bakir; Tim Chambers; Roberto Salgado; Peter Savas; Sherene Loi; Nicolai J Birkbak; Laurent Sansregret; Martin Gore; James Larkin; Sergio A Quezada; Charles Swanton
Journal:  Lancet Oncol       Date:  2017-07-07       Impact factor: 41.316

4.  Genomic correlates of response to CTLA-4 blockade in metastatic melanoma.

Authors:  Eliezer M Van Allen; Diana Miao; Bastian Schilling; Sachet A Shukla; Christian Blank; Lisa Zimmer; Antje Sucker; Uwe Hillen; Marnix H Geukes Foppen; Simone M Goldinger; Jochen Utikal; Jessica C Hassel; Benjamin Weide; Katharina C Kaehler; Carmen Loquai; Peter Mohr; Ralf Gutzmer; Reinhard Dummer; Stacey Gabriel; Catherine J Wu; Dirk Schadendorf; Levi A Garraway
Journal:  Science       Date:  2015-09-10       Impact factor: 47.728

Review 5.  Immune checkpoint targeting in cancer therapy: toward combination strategies with curative potential.

Authors:  Padmanee Sharma; James P Allison
Journal:  Cell       Date:  2015-04-09       Impact factor: 41.582

Review 6.  Immune Checkpoint Blockade in Cancer Therapy.

Authors:  Michael A Postow; Margaret K Callahan; Jedd D Wolchok
Journal:  J Clin Oncol       Date:  2015-01-20       Impact factor: 44.544

7.  Cancer immunology. Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer.

Authors:  Naiyer A Rizvi; Matthew D Hellmann; Alexandra Snyder; Pia Kvistborg; Vladimir Makarov; Jonathan J Havel; William Lee; Jianda Yuan; Phillip Wong; Teresa S Ho; Martin L Miller; Natasha Rekhtman; Andre L Moreira; Fawzia Ibrahim; Cameron Bruggeman; Billel Gasmi; Roberta Zappasodi; Yuka Maeda; Chris Sander; Edward B Garon; Taha Merghoub; Jedd D Wolchok; Ton N Schumacher; Timothy A Chan
Journal:  Science       Date:  2015-03-12       Impact factor: 47.728

Review 8.  CTLA-4 and PD-1/PD-L1 blockade: new immunotherapeutic modalities with durable clinical benefit in melanoma patients.

Authors:  Patrick A Ott; F Stephen Hodi; Caroline Robert
Journal:  Clin Cancer Res       Date:  2013-10-01       Impact factor: 12.531

Review 9.  Mechanism-driven biomarkers to guide immune checkpoint blockade in cancer therapy.

Authors:  Suzanne L Topalian; Janis M Taube; Robert A Anders; Drew M Pardoll
Journal:  Nat Rev Cancer       Date:  2016-04-15       Impact factor: 60.716

10.  Checkpoint blockade cancer immunotherapy targets tumour-specific mutant antigens.

Authors:  Matthew M Gubin; Xiuli Zhang; Heiko Schuster; Etienne Caron; Jeffrey P Ward; Takuro Noguchi; Yulia Ivanova; Jasreet Hundal; Cora D Arthur; Willem-Jan Krebber; Gwenn E Mulder; Mireille Toebes; Matthew D Vesely; Samuel S K Lam; Alan J Korman; James P Allison; Gordon J Freeman; Arlene H Sharpe; Erika L Pearce; Ton N Schumacher; Ruedi Aebersold; Hans-Georg Rammensee; Cornelis J M Melief; Elaine R Mardis; William E Gillanders; Maxim N Artyomov; Robert D Schreiber
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.