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Abstract CT191: A window-of-opportunity study with atezolizumab and the oncolytic virus pelareorep in early breast cancer (AWARE-1)

2021· article· en· W3179498946 on OpenAlexaff
Luís Manso, Fernando Salvador, Patricia Villagrasa, Núria Chic, Begoña Bermejo, Juan Miguel Cejalvo, Yann Izarzugaza, Blanca Cantos, Salvador Blanch, Mireia Margelí Vila, José Luis Alonso-Romero, Alejandro Martínez, Rafael J. Villanueva, Juan Antonio Guerra, Raquel Andrés, Pilar Zamora, Esteban Nogales, Manel Juan, Blanca González‐Farré, Grey Wilkinson, Thomas C. Heineman, Gerard J. Nuovo, Houra Loghmani, Matt Coffey, Azucena González, Laia Paré, Tomás Pascual, Xavier González, Aleix Prat, Joaquín Gavilá

Bibliographic record

VenueCancer Research · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsOncolytics Biotech (Canada)
Fundersnot available
KeywordsAtezolizumabMedicineOncologyCohortInternal medicineBreast cancerLetrozoleTrastuzumabClinical endpointCancerOncolytic virusImmunotherapyPembrolizumabClinical trialTamoxifen

Abstract

fetched live from OpenAlex

Abstract Background: A previous phase 2 study in metastatic breast cancer demonstrated a statistically significant improvement in overall survival (OS) in patients treated with pelareorep (pela), an intravenously delivered immuno-oncolytic reovirus, given in combination with paclitaxel (PTX) versus PTX alone [1]. We hypothesized that the OS benefit from pela + PTX may be attributed to an adaptive T cell response triggered by pela. To examine if pela can mediate the priming of an anti-tumor immune response, and the impact of checkpoint blockade therapy on this response, we and SOLTI research group are conducting the AWARE-1 study (NCT04102618) in patients with early breast cancer. The initial translational research results from this study are presented here. Methods: AWARE-1 is a window-of-opportunity study to evaluate the safety and effect of pela ± atezolizumab on the tumor microenvironment (TME) in 38 women with early breast cancer. Patients are treated with pela on days 1, 2, 8, and 9, and atezolizumab is administered on day 3. Tumor biopsies are collected at diagnosis, day 3, and day ~21. Five patient cohorts are being examined: Cohort 1: HR+/HER2-neg (10 patients) receiving pelareorep + letrozole (without atezolizumab); Cohort 2: HR+/HER2-neg (10 patients) receiving pelareorep + letrozole + atezolizumab; Cohort 3: TNBC (6 patients) receiving pelareorep + atezolizumab; Cohort 4: HR+/HER2+ (6 patients) receiving pelareorep + trastuzumab + atezolizumab; Cohort 5: HR-neg/HER+ (6 patients) receiving pelareorep + trastuzumab + atezolizumab. The primary endpoint is CelTIL score [2], a metric for quantifying changes in tumor cellularity and the number of tumor infiltrating lymphocytes (TILs), where an increase in CelTIL score has been associated with a favorable response to treatment. Tumor tissue is being examined for pela replication, changes to the TME by immunohistochemistry (IHC), PD-L1 expression by the Ventana SP142 assay used as the atezolizumab companion diagnostic, and T cell clonality by T cell receptor sequencing (TCR-seq). Peripheral blood is also being examined by TCR-seq. Results: Changes in the TME by IHC demonstrate that treatment with pela in the presence of atezolizumab increases the CD8/Treg ratio, a predictor of greater therapeutic efficacy, similar to preclinical breast cancer mouse models [3, 4]. Detailed TCR-seq, Ventana PD-L1 assay results, and IHC analysis will be presented, focusing on differences between patients receiving pela in the absence or presence of atezolizumab (Cohorts 1 and 2, respectively), and between CelTIL scores of responders and non-responders. Overall, these data demonstrate that pela can promote an inflamed tumor phenotype that allows for synergy with checkpoint blockade therapy in breast cancer. References: [1] Bernstein, V., et al. Breast Cancer Res Treat, 2018. 167(2): p. 485-493. [2] Nuciforo, P., et al. Ann Oncol, 2018. 29(1): p. 170-177. [3] Mostafa, A.A., et al. Cancers (Basel), 2018. 10(6). [4] Lee, J., et al. Cancer Research, 2020. 80(16 Supplement): p. 2206-2206. Citation Format: Luis Manso, Fernando Salvador, Patricia Villagrasa, Nuria Chic, Begoña Bermejo, Juan M. Cejalvo, Yann Izarzugaza, Blanca Cantos, Salvador Blanch, Mireia Margeli, Jose L. Alonso, Alejandro Martínez, Rafael Villanueva, Juan A. Guerra, Raquel Andrés, Pilar Zamora, Esteban Nogales, Manel Juan, Blanca Gonzalez-Farre, Grey A. Wilkinson, Thomas C. Heineman, Gerard Nuovo, Houra Loghmani, Matt Coffey, Azucena Gonzalez, Débora Martínez, Laia Paré, Tomás Pascual, Xavier Gonzalez, Aleix Prat, Joaquín Gavilá. A window-of-opportunity study with atezolizumab and the oncolytic virus pelareorep in early breast cancer (AWARE-1) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr CT191.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.052
GPT teacher head0.391
Teacher spread0.339 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations7
Published2021
Admission routes1
Has abstractyes

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