Abstract 3297
Background
Most therapeutic vaccine clinical trials (CTs) have failed to prove efficacy, even if immunogenicity was confirmed earlier. It was already shown that immune responses generated against multiple antigens are indicative of clinical responses. We aimed to find association between the heterogeneity of immune response and clinical efficacy and, based on this develop a tool that can predict the clinical outcome of cancer vaccines.
Methods
In an extensive literature search we collected the immune- and objective response rates (IRR, ORR) of 94 CTs in which 2,338 patients were treated with 64 different vaccines. Vaccine sequences were used to predict personal epitopes (PEPIs) that bind to at least 3 HLA alleles of the same subject, for all patients of a representative model population. Then we determined the percentage of subjects with at least 1 vaccine specific PEPIs (PEPI Score) and at least 2 vaccine specific PEPIs derived from different antigens (MultiAg PEPI-Score) and compared to the published IRR and ORR.
Results
PEPI Score was able to predict the immunogenicity of therapeutic vaccines; significant correlation was found with IRR (p = 0.002). As expected, no correlation was found between ORR and IRR (p = 0.294), neither between PEPI Score and ORR (p = 0.302), suggesting, that immune response against a single epitope is not enough for efficient tumor response. However, we found that MultiAg PEPI-Score significantly correlates with ORR (p < 0.0001) consistent with earlier findings that the targeting of multiple antigens is required for tumor shrinkage.
Conclusions
Our results demonstrate that both IRR and ORR can be predicted by PEPIs. For clinical efficacy it is crucial to target and generate immune response against multiple antigens. Based on our analysis our computational model is useful and accurate for the prediction of the clinical outcome of cancer vaccines and can even be suitable for rescuing CTs with insufficient or missing responder selection.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
O. Lorincz: Shareholder / Stockholder / Stock options: Treos Bio Ltd; Full / Part-time employment: Treos Bio Zrt. J. Toth: Shareholder / Stockholder / Stock options: Treos Bio Ltd; Full / Part-time employment: Treos Bio Zrt. M. Megyesi: Shareholder / Stockholder / Stock options: Treos Bio Ltd; Full / Part-time employment: Treos Bio Zrt. K. Pántya: Shareholder / Stockholder / Stock options: Treos Bio Ltd; Full / Part-time employment: Treos Bio Zrt. E. Somogyi: Shareholder / Stockholder / Stock options: Treos Bio Ltd; Full / Part-time employment: Treos Bio Zrt. Z. Csiszovszki: Shareholder / Stockholder / Stock options: Treos Bio Ltd; Full / Part-time employment: Treos Bio Zrt. P. Pales: Full / Part-time employment: Treos Bio Zrt. L. Molnar: Shareholder / Stockholder / Stock options: Treos Bio Ltd; Full / Part-time employment: Treos Bio Zrt. E.R. Tőke: Shareholder / Stockholder / Stock options, Officer / Board of Directors: Treos Bio Ltd; Full / Part-time employment: Treos Bio Zrt. All other authors have declared no conflicts of interest.
Resources from the same session
4290 - Characterization of the mechanism of action and efficacy of MEN1611 (PA799), a novel PI3K inhibitor, in breast cancer preclinical models.
Presenter: Alessio Fiascarelli
Session: Poster Display session 3
Resources:
Abstract
2167 - Neat-1: culprit lnRNA tying PIG-C, MSLN, CD80 in TNBC
Presenter: Nada Hussein
Session: Poster Display session 3
Resources:
Abstract
1829 - A novel RAF/MEK inhibitor CH5126766 in phase 1 clinical trial has an effectiveness in the combination with eribulin for the treatment of triple negative breast cancer
Presenter: Hisako Ono
Session: Poster Display session 3
Resources:
Abstract
4357 - Identification of a stemness-related gene panel associated with BET inhibition in triple negative breast cancer
Presenter: Eva Galan-Moya
Session: Poster Display session 3
Resources:
Abstract
5163 - Preclinical Evaluation targeting both IGF1R and IR in Triple Negative Breast Cancer
Presenter: Alex Eustace
Session: Poster Display session 3
Resources:
Abstract
832 - Monospecific antibody targeting of CDH11 inhibits epithelial-to-mesenchymal transition and represses cancer stem cell-like phenotype by up-regulating miR-335 in metastatic breast cancer, in vitro and in vivo.
Presenter: Jia-Hong Chen
Session: Poster Display session 3
Resources:
Abstract
3781 - Pharmacological screening with Chk1 inhibitors identify synergistic agents to overcome resistance to platinums in basal breast and ovarian cancer
Presenter: Ana Lucia Sanabria
Session: Poster Display session 3
Resources:
Abstract
3275 - Comparison of 11 circulating miRNAs and CA125 kinetics in ovarian cancer during first line treatment: data from the randomized CHIVA trial (a GINECO-GCIG study)
Presenter: Patrick Robelin
Session: Poster Display session 3
Resources:
Abstract
3391 - Inhibiting Ehmt2 and Ezh2 histone methyltransferases alters the immune microenvironment in a Trp53-/- murine ovarian cancer model
Presenter: Pavlina Spiliopoulou
Session: Poster Display session 3
Resources:
Abstract
3839 - Fenofibrate impairs pro-tumorigenic potential of cancer stem cell-like cells within drug-resistant prostate cancer cell populations.
Presenter: Tomasz Wróbel
Session: Poster Display session 3
Resources:
Abstract