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Liquid chromatography coupled to multiple reaction monitoring (LC-MRM) for quantification of PD-L1 and PD1-signaling proteins in non-small cell lung carcinoma (NSCLC).

2020· article· en· W3031163605 on OpenAlexafffund
Vincent Lacasse, René P. Zahedi, Vincent R. Richard, Hangjun Wang, Georgia Mitsa, Olivier Poetz, Margaret Redpath, Andreas I. Papadakis, Mounib Elchebly, Victor Cohen, Jason Agulnik, Gerald Batist, Christopher Borchers, Alan Spatz

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Treatments and Mutations
Canadian institutionsJewish General HospitalMcGill University
FundersGenome Canada
KeywordsImmunohistochemistrySelected reaction monitoringPD-L1MedicineCancer researchFixation (population genetics)ImmunotherapyMolecular biologyPathologyChemistryMass spectrometryTandem mass spectrometryImmune systemBiologyImmunologyChromatographyPopulation

Abstract

fetched live from OpenAlex

e21040 Background: Improving the predictive biomarkers arena of checkpoint inhibitors (CPIs) beyond PD-L1 immunohistochemistry (IHC) is one of the most important unmet need in NSCLC. Up to 50% of patients that show positive PD-L1 expression by IHC do not respond to anti-PD-L1 treatments, and patients with low/undetectable PD-L1 have significantly improved survival with CPI. Moreover, PD-L1 IHC is heterogeneous, can be affected by tissue fixation time and post-translational modifications like glycosylation. Also, multiple studies indicated that PD-L1 expression alone does not reliably reflect the immune status of the tumor, thus requiring the measurement of other members of the PD1 signalling pathway. Methods: To address these issues, we developed a multiplexed targeted mass spectrometry-based (MS) assay for the quantitation of protein members of the PD-1/PD-L1 axis in formalin fixed paraffin-embedded (FFPE) tissue.The effect of fixation time on protein recovery was determined using differentially fixed H1915 cells. Liquid chromatography (LC) coupled to MRM was used to develop a targeted assay for PD-L1, PD-1, PD-L2, NT5E, LCK and ZAP70. Results: After 30 minutes fixation 33.6 µg of protein were extracted per mg of FFPE H1915 cells, while protein recovery after 7 days was 55.8 µg/mg, with greater variability (18% and 28% CV, p-value = ns). The optimized LC-MRM method allows the quantitation of PD-L1 and PD-1 down to 23 amol on-column. We evaluated the utility of our MRM assays using the H1915 FFPE cells (PD-L1 3+ by IHC) and determined an endogenous concentration of PD-L1 and NT5E as being 33.2±0.1 amol/µg of total protein and 4.8±0.5 fmol/µg respectively. Noteworthy, a known glycosylation site of PD-L1 was quantified at 10.9±0.3 amol/µg of total protein (30% of total). As increases sensitivity was required, anti-peptide antibodies were generated against the 15 best peptides. We then evaluated this LC-MRM method using MDA-MB-436 cells with lower levels of PD-L1 protein assessed by IHC. Determination of endogenous PD-L1 concentration (3.0 amol/µg of total protein) was achieved using anti-peptide immuno-enrichment followed by MRM. Conclusions: We developed a fixation time independent extraction technique for FFPE and optimized a highly sensitive LC-MRM method that allows the absolute quantification of our targets. This proteomic workflow allows absolute quantification of the PD-1/PD-L1 axis from FFPE tissue using immuno-enrichment and a multiplexed LC-MRM method.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
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 head0.097
GPT teacher head0.436
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 designBench or experimental
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 routes2
Has abstractyes

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