Evidence map›Paper›PMID 35468853›Full record

ArticleBiomarker research2022

Analytical validation and initial clinical testing of quantitative microscopic evaluation for PD-L1 and HLA I expression on circulating tumor cells from patients with non-small cell lung cancer.

Jennifer L Schehr, Nan Sethakorn, Zachery D Schultz, Camila I Hernandez, Rory M Bade, Diego Eyzaguirre, Anupama Singh, David J Niles, Leslie Henderson, Jay W Warrick and 5 more

Open access · goldAbstract read
In one paragraph

Article in Biomarker research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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

15 authors at 2 institutions in 1 country.

Jennifer L Schehr *Carbone Cancer Center, University of Wisconsin, Madison, WI, USA.
Nan Sethakorn *Department of Medicine, University of Wisconsin, Madison, WI, USA.
Zachery D SchultzCarbone Cancer Center, University of Wisconsin, Madison, WI, USA.
Camila I HernandezCarbone Cancer Center, University of Wisconsin, Madison, WI, USA.
Rory M BadeCarbone Cancer Center, University of Wisconsin, Madison, WI, USA.
Diego EyzaguirreCarbone Cancer Center, University of Wisconsin, Madison, WI, USA.
Anupama SinghCarbone Cancer Center, University of Wisconsin, Madison, WI, USA.
David J NilesDepartment of Biomedical Engineering, University of Wisconsin, Madison, WI, 53705, USA.
Leslie HendersonWisconsin State Lab of Hygiene, Madison, WI, USA.
Jay W WarrickDepartment of Biomedical Engineering, University of Wisconsin, Madison, WI, 53705, USA.
Scott M BerryDepartment of Biomedical Engineering, University of Wisconsin, Madison, WI, 53705, USA.
Kaitlin E SundlingWisconsin State Lab of Hygiene, Madison, WI, USA.
David J BeebeDepartment of Biomedical Engineering, University of Wisconsin, Madison, WI, 53705, USA.
Ticiana A LealCarbone Cancer Center, University of Wisconsin, Madison, WI, USA.
Joshua M LangCarbone Cancer Center, University of Wisconsin, Madison, WI, USA. jmlang@medicine.wisc.edu.
University of Wisconsin–Madison · USUniversity of Wisconsin Carbone Cancer Center · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Christian Capitini · 1985 to 2026
$142.6M
University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
RESEARCH TRAINING IN HEMATOLOGYT32HL007899 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Jane Ellen Churpek · 1998 to 2026
$8.2M
NCATS NIH HHS UL1 TR002373NCI NIH HHS P30 CA014520NHLBI NIH HHS T32 HL007899
6 · The paper itself

Abstract

introductionPD-L1 expression in non-small cell lung cancer (NSCLC) predicts response to immune checkpoint blockade, however is an imperfect biomarker given tumor heterogeneity, and the antigen presentation pathway requiring other components including HLA I expression. HLA I downregulation may contribute to resistance, warranting its evaluation in attempts to guide patient selection. In addition, earlier detection of acquired resistance could prompt earlier change in treatment and prolong patient survival. Analysis of circulating tumor cells (CTCs) captures heterogeneity across multiple sites of metastases, enables detection of changes in tumor burden that precede radiographic response, and can be obtained in serial fashion.

methodsTo quantify the expression of both PD-L1 and HLA I on CTCs, we developed exclusion-based sample preparation technology, achieving high-yield with gentle magnetic movement of antibody-labeled cells through virtual barriers of surface tension. To achieve clinical-grade quantification of rare cells, we employ high quality fluorescence microscopy image acquisition and automated image analysis together termed quantitative microscopy.

resultsIn preparation for clinical laboratory implementation, we demonstrate high precision and accuracy of these methodologies using a diverse set of control materials. Preliminary testing of CTCs isolated from patients with NSCLC demonstrate heterogeneity in PD-L1 and HLA I expression and promising clinical value in predicting PFS in response to PD-L1 targeted therapies.

conclusionsBy confirming high performance, we ensure compatibility for clinical laboratory implementation and future application to better predict and detect resistance to PD-L1 targeted therapy in patients with NSCLC.

Indexed as

Circulating tumor cellImmunotherapy biomarkerNon-small cell lung CancerPrecision medicine

Identifiers

PMID35468853
PMCPMC9040226
OpenAlexW4224434582

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.