Abstract
Single nucleotide polymorphisms (SNPs) in MHC class I and II genes to predict outcome in patients (pts) with metastatic colorectal cancer (mCRC): Data from FIRE-3, MAVERICC, and TRIBE trials.
Author
person
Pooja Mittal
Division of Medical Oncology, USC Norris Comprehensive Cancer Center, Keck School of Medicine, Los Angeles, CA
info_outline
Pooja Mittal, Francesca Battaglin, Yan Yang, Joshua Millstein, Sebastian Stintzing, Aparna Raj Parikh, Shivani Soni, Jae Ho Lo, Lesly Torres-Gonzalez, Sandra Algaze, Priya Jayachandran, Karam Ashouri, Alexandra Wong, Wu Zhang, Christoph Mancao, Chiara Cremolini, Volker Heinemann, Heinz-Josef Lenz
Full text
Authors
person
Pooja Mittal
Division of Medical Oncology, USC Norris Comprehensive Cancer Center, Keck School of Medicine, Los Angeles, CA
info_outline
Pooja Mittal, Francesca Battaglin, Yan Yang, Joshua Millstein, Sebastian Stintzing, Aparna Raj Parikh, Shivani Soni, Jae Ho Lo, Lesly Torres-Gonzalez, Sandra Algaze, Priya Jayachandran, Karam Ashouri, Alexandra Wong, Wu Zhang, Christoph Mancao, Chiara Cremolini, Volker Heinemann, Heinz-Josef Lenz
Organizations
Division of Medical Oncology, USC Norris Comprehensive Cancer Center, Keck School of Medicine, Los Angeles, CA, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, University of Southern California, Los Angeles, CA, Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, Los Angeles, CA, Charité - Universitätsmedizin Berlin, Berlin, Germany, Department of Medicine, Division of Hematology & Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, Bayer AG, Leverkusen, Germany, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa & Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy, Italy, University of Munich, Munich, Germany, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA
Abstract Disclosures
Research Funding
Other Foundation
National Cancer Institute, Gloria Borges WunderGlo, Dhont Family, San Pedro Peninsula Cancer Guild, Daniel Butler Research Fund, Victoria and Philip Wilson Research Fund, Fong research project, Ming Hsieh research fund
Background:
The immune system is alerted for virally infected cells in the body by the antigen presentation pathway, which is in turn mediated by the major histocompatibility complex (MHC) class I and II molecules. Cancer cells overcome immune evasion as a major hallmark by downregulation of antigen presentation pathway molecules. Therefore, the present study aimed to explore the effect of genetic variants in MHC class I and II pathways on first-line treatment outcome in mCRC pts.
Methods:
Genomic DNA from blood samples of 775 pts enrolled in three independent, randomized, first-line trials: TRIBE (FOLFIRI-bevacizumab [bev], N = 215), FIRE-3 (FOLFIRI-bev, N = 107; FOLFIRI-cetuximab [cet], N = 129) and MAVERICC (FOLFIRI-bev, N = 163; FOLFOX-bev, N = 161) was genotyped through OncoArray, a custom array manufactured by Illumina including approximately 530K SNP markers. The impact on outcome of 40 selected SNPs in 22 genes of MHC class I and II pathways (
ERAP1, ERAP2, TAP1, TAP2, TAPBP, B2M, HLA-A, HLA-B, HLA-C, HLA-E, HLA-F, HLA-G, CIITA, HLA-DMA, HLA-DMB, HLA-DOA, HLA-DOB, HLA-DPA1, HLA-DPB1, HLA-DQA1, HLA-DQB1
and
HLA-DRA
) was analyzed.
Results:
We identified several SNPs in multiple genes associated with targeted treatment benefit across different treatment arms in our study population (
P
< .05). Germline variants in
ERAP1
rs2287987 were associated with worse PFS in pts receiving FOLFIRI-bev in TRIBE (10.4 vs 8.8 months, HR 1.48, 95%CI 1.04-2.12,
P
= .035) and FIRE-3 trials (11.1 vs 9.9 months, HR 3.46, 95%CI 1.18-10.12,
P
= .049), while rs26653 SNP in the same gene was associated with better PFS in MAVERICC (10.1 vs 14.5 months, HR 0.54, 95%CI 0.35-0.84,
P
= .0062).
TAP1
rs1135216,
TAP2
rs1800454 and rs1044043,
HLA-B
rs2770,
HLA-G
rs1610696,
CIITA
rs4774,
HLA-DRA
rs7192 were associated with longer OS and/or PFS in cet-treated pts in FIRE-3; whereas
TAP2
rs241447,
TAPBP
rs3106191,
HLA-DMB
rs10751,
HLA-DOB
rs11244,
HLA-DPB1
rs3097671 showed worse PFS and/or OS. SNPs in
TAP2
(rs1800454),
HLA-C
(rs1049281),
HLA-G
(rs1063320),
CIITA
(rs1139564),
HLA-DMB
(rs1042337),
HLA-DOA
(rs375256, rs3129303),
HLA-DPA1
(rs1042190) and
HLA-DRA
(rs7192) were specifically associated with clinical outcomes in the FOLFOX-bev arm of MAVERICC but not in control cohorts of pts treated with FOLFIRI-bev. Treatment-SNP interaction analyses with targeted agents (bev vs cet) and chemotherapy backbone (FOLFIRI vs FOLFOX) confirmed a significant treatment interaction for
HLA-G, TAP2
,
CIITA
, and
HLA-DMB
SNPs (
P
< .05).
Conclusions:
Our results highlight an important role for MHC SNPs as prognostic and predictive biomarkers for first-line treatment in mCRC, with differential effects based on biologic agent and chemotherapy backbone. These biomarkers, when further validated, may contribute to personalized treatment strategies for mCRC patients.
13 organizations
3 drugs
22 targets
Organization
Bayer AGOrganization
University of MunichOrganization
University of Pisa & Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria PisanaOrganization
GermanyOrganization
ItalyOrganization
Massachusetts General HospitalOrganization
Department of Preventive MedicineOrganization
Department of Hematology & Oncology, College of Medicine, University of Oklahoma Health Sciences CenterTarget
HLA-DRATarget
CIITATarget
HLA-C*08:02Target
BevacizumabTarget
B2MTarget
HLA-DMATarget
HLA-DQB1Target
TAP1Target
HLA-A*0201Target
TAP2Target
HLA-DOBTarget
HLA-ETarget
HLA-DQA1Target
TAPBPTarget
HLA-BTarget
HLA-DPA1Target
HLA-DMBTarget
ERAP1Target
HLA-GTarget
HLA-FTarget
HLA-DPB1Target
HLA-DOA