Evidence map›Paper›PMID 32555523›Full record

ArticleScientific reports2020

Analysis of Immune Checkpoint Drug Targets and Tumor Proteotypes in Non-Small Cell Lung Cancer.

Daniel C Liebler, Timothy R Holzer, Alexander Haragan, Ryan D Morrison, Leslie O'Neill Reising, Bradley L Ackermann, Jeff A Fill, Andrew E Schade, Aaron M Gruver

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.3field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Quantitative Assays for TROP2 Measurement in Breast Cancer and Comparison to H-Score.Applied immunohistochemistry & molecular morphology : AIMM · 2026
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  3. Review
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  5. Quantitative Protein Expression of Antibody-Drug Conjugate Targets in EGFR Mutated and Wild-type Non-Small Cell Lung Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Daniel C LieblerProtypia, Inc, Nashville, TN, USA. daniel.liebler@protypia.com.
Timothy R HolzerLilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA.
Alexander HaraganInstitute of Translational Medicine, University of Liverpool, Liverpool, UK.
Ryan D MorrisonProtypia, Inc, Nashville, TN, USA.
Leslie O'Neill ReisingLilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA.
Bradley L AckermannLilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA.
Jeff A FillLilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA.
Andrew E SchadeLilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA.
Aaron M GruverLilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA. gruver_aaron_m@lilly.com.
Eli Lilly (United States) · USUniversity of Liverpool · GB

Funding

Medical Research Council MR/N025989/1Medical Research Council MR/R016909/1
6 · The paper itself

Abstract

New therapeutics targeting immune checkpoint proteins have significantly advanced treatment of non-small cell lung cancer (NSCLC), but protein level quantitation of drug targets presents a critical problem. We used multiplexed, targeted mass spectrometry (MS) to quantify immunotherapy target proteins PD-1, PD-L1, PD-L2, IDO1, LAG3, TIM3, ICOSLG, VISTA, GITR, and CD40 in formalin-fixed, paraffin-embedded (FFPE) NSCLC specimens. Immunohistochemistry (IHC) and MS measurements for PD-L1 were weakly correlated, but IHC did not distinguish protein abundance differences detected by MS. PD-L2 abundance exceeded PD-L1 in over half the specimens and the drug target proteins all displayed different abundance patterns. mRNA correlated with protein abundance only for PD-1, PD-L1, and IDO1 and tumor mutation burden did not predict abundance of any protein targets. Global proteome analyses identified distinct proteotypes associated with high PD-L1-expressing and high IDO1-expressing NSCLC. MS quantification of multiple drug targets and tissue proteotypes can improve clinical evaluation of immunotherapies for NSCLC.

Indexed as

Drug Delivery SystemsCarcinoma, Non-Small-Cell LungHumansImmune Checkpoint InhibitorsLung NeoplasmsMass SpectrometryNeoplasm ProteinsImmune Checkpoint InhibitorsNeoplasm Proteins

Identifiers

PMID32555523
PMCPMC7300007
OpenAlexW3036197269

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.