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Record W2810339633 · doi:10.1158/1538-7445.am2018-4670

Abstract 4670: Evidence of neoantigen-reactive T cell response in a case of relapsing, mismatch-repair gene proficient, colorectal cancer

2018· article· en· W2810339633 on OpenAlexaff
Mélissa Mathieu, Alexandre Paradis, Sandy Pelletier, Steven Hébert, Kevin Boutin, Éric Audemard, Sylvie Mader, Claudia L. Kleinman, Simon Turcotte

Bibliographic record

VenueCancer Research · 2018
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsInstitute for Research in Immunology and CancerMcGill University
Fundersnot available
KeywordsCancer researchT cellMetastasisCD8CancerT-cell receptorclone (Java method)Colorectal cancerBiologyAntigenImmunologyMedicineGeneImmune systemGenetics

Abstract

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Abstract Whether the endogenous T cell reactivity to antigens derived from cancer mutations, called neoantigens (neoAgs), can be exploited for immunotherapy in patients with mismatch-repair (MMR) gene proficient metastatic colorectal cancer (CRC) is largely unknown. Here, we investigated the frequency of neoAg-reactive T cells longitudinally in a patient with relapsing CRC. Using whole exome and RNA sequencing, we identified 96 single nucleotide variant (SNV), 8 frameshift and 29 insertion/deletion mutations in a liver metastasis. Co-culture assays between in vitro expanded tumor infiltrating T lymphocytes (TILs) and autologous CD40-activated B cells loaded with peptides derived from SNVs led to the identification of two CD8+ T cell clones specific for PAMA733E, and respectively 1, 4 and 2 CD4+ T cell clones specific for PABPC1G563S, PDE4DIPR685S and TRPM4A480V. T cell clonality was confirmed by TCR Sanger sequencing. We assessed the in vivo frequency of these neoAg-reactive T cell clones by TCRβ chain deep sequencing (Adaptive Biotechnologies). The dominant T cell clone, reactive to PAMA733E, represented 5.2% of TILs in the primary tumor resected in 2010, 2.2% of TILs in the colonic recurrence resected in 2011, and 3.2% of TILs in the liver metastasis resected in 2012. The neoAg-reactive T cells were also detected in the peritumoral liver, but not into the distant normal liver. Along the disease course, most reactive T cell clones were not detected in the tumor draining lymph nodes or in the peripheral blood, at an average detection capacity of 1/3680 and 1/185,495 T cells respectively. When compared to the RNAseq data from 60 other CRC liver metastases, the relatively high level of transcripts related to immune cells, antigen processing and presentation, IFN-γ responsive genes, T-cell inhibitory and stimulatory receptors, cytokines, and chemokines observed in our patient metastasis suggested that there was an ongoing spontaneous immune response intratumoraly, co-existing with many immune-suppressive molecules. Our results support that neoAg-reactive T cells can be found in non-highly mutated, MMR proficient CRC tumors, at a much higher frequency than in the peripheral blood or the draining lymph nodes. As an adjuvant strategy to prevent recurrence, it may be possible in some patients to boost the immune response against a relevant neoAg expressed in the primary tumor. At the metastatic stage, a broader array of neoAgs may be targetable. Citation Format: Mélissa Mathieu, Alexandre Paradis, Sandy Pelletier, Steven Hébert, Kevin Boutin, Éric Audemard, Sylvie Mader, Claudia Kleinman, Simon Turcotte. Evidence of neoantigen-reactive T cell response in a case of relapsing, mismatch-repair gene proficient, colorectal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4670.

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)0.000
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.099
GPT teacher head0.444
Teacher spread0.345 · 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 designCase report
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".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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