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Record W3083376441 · doi:10.1158/1538-7445.am2020-1008

Abstract 1008: Characterizing the post-translational regulation of programmed death-ligand 1 (PD-L1) in triple-negative breast cancer: Role of EphA3/Fes/Fer

2020· article· en· W3083376441 on OpenAlexaff
Min Ling, Wenqi Wang, Xiaolong Yang

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldMedicine
TopicFerroptosis and cancer prognosis
Canadian institutionsQueen's University
Fundersnot available
KeywordsReceptor tyrosine kinaseCancer researchTriple-negative breast cancerImmune checkpointImmunotherapyKinaseCancer immunotherapyPD-L1CancerImmune systemTyrosine kinaseBiologyDownregulation and upregulationCancer cellBreast cancerCell biologySignal transductionImmunologyBiochemistryGene

Abstract

fetched live from OpenAlex

Abstract Background: The programmed death ligand-1 (PD-L1) is a cell surface protein expressed on a variety of antigen-presenting cells for the purpose of controlling the immune response. As such, the role of PD-L1 expression on the surface of cancer cells has been proven to contribute to cancer immune evasion and tumor progression. Triple negative breast cancer has the most abundant tumor infiltrating lymphocytes (TILs) and PD-L1 is found highly upregulated in TNBC, allowing blockade immune checkpoint therapy a potentially effective treatment. However, the overall response rate is less than 20-30%. Over the past years, the literature that implicated the regulation of PD-L1 was primarily on transcription levels. The objective of our present study is to further characterize the post-translational modification of PD-L1 in efforts to better target it in TNBC immunotherapy. Methods and Results: By proteomic screen utilizing tandem affinity purification of interacting proteins using SFB (S, Flag, and Streptavidin binding peptide)-tagged PD-L1, we identified a number of novel interactions between PD-L1 and 67 candidates. A number of exclusive kinases have also shown high-confidence binding with PD-L1 in the proteomic screen. The primary hits were shortlisted and validated by means of co-immunoprecipitation (co-IP). The co-IP has confirmed a number of hits identified in the proteomic screen, including receptor tyrosine kinases (ephrin receptors, EphA3), and non-receptor tyrosine kinases (Fes and Fer) which have been explored in tumor progression and immune cell development. To test whether our candidate kinases can directly phosphorylate PD-L1 in vitro, His tagged-PD-L1 was mixed with active EphA3/Fes/Fer kinases. Phosphorylated PD-L1-His was detected by WB using PNBM treatment and anti-thiophosphate antibody. Kinase assays showed that EphA3/Fes/Fer can directly phosphorylate PD-L1. We also found that Fes/Fer were able to up-regulate PD-L1 protein expression in a dose-dependent manner. Conclusions: PD-L1 exhibits interactions with tyrosine kinases, which suggests PD-L1 phosphorylation as a novel post-translational modification. Our findings provide a rationale for the development of combination kinase inhibitors and immunotherapy in TNBC. Citation Format: Min Ling, Wenqi Wang, Xiaolong Yang. Characterizing the post-translational regulation of programmed death-ligand 1 (PD-L1) in triple-negative breast cancer: Role of EphA3/Fes/Fer [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1008.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.075
GPT teacher head0.376
Teacher spread0.301 · 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 designObservational
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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Citations0
Published2020
Admission routes1
Has abstractyes

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