Evidence map›Paper›PMID 37123045›Full record

ArticleOncoimmunology2023

Early response evaluation of PD-1 blockade in NSCLC patients through FDG-PET-CT and T cell profiling of tumor-draining lymph nodes.

Frank J Borm, Jasper Smit, Joyce Bakker, Maurits Wondergem, Egbert F Smit, Adrianus J de Langen, Tanja D de Gruijl

Abstract read
In one paragraph

Article in Oncoimmunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Circulating Tumor DNA and [Diagnostics (Basel, Switzerland) · 2025
    Article
  5. Repeated dynamic [European journal of nuclear medicine and molecular imaging · 2024
    Observational
  6. Article
  7. Review
  8. 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

7 authors.

Frank J BormDepartment of Pulmonary Diseases, Leiden University Medical Centre, Leiden, The Netherlands.
Jasper SmitDepartment of Thoracic Oncology, NKI-AvL, Amsterdam, The Netherlands.
Joyce BakkerAmsterdam UMC Location Vrije Universiteit, Medical Oncology, Amsterdam, Netherlands.
Maurits WondergemDepartment of Nuclear Medicine, NKI-AvL, Amsterdam, The Netherlands.
Egbert F SmitDepartment of Pulmonary Diseases, Leiden University Medical Centre, Leiden, The Netherlands.
Adrianus J de LangenDepartment of Thoracic Oncology, NKI-AvL, Amsterdam, The Netherlands.
Tanja D de GruijlAmsterdam UMC Location Vrije Universiteit, Medical Oncology, Amsterdam, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Better biomarkers for programmed death - (ligand) 1 (PD-(L)1) checkpoint blockade in non-small cell lung cancer (NSCLC) are needed. We explored the predictive value of early response evaluation using Fluor-18-deoxyglucose positron emission tomography and pre- and on-treatment flowcytometric T-cell profiling in peripheral blood and tumor-draining lymph nodes (TDLN). The on-treatment evaluation was performed 7-14 days after the start of PD-1 blockade in NSCLC patients. These data were related to (pathological) tumor response, progression-free survival, and overall survival (OS). We found that increases in total lesion glycolysis (TLG) had a strong reverse correlation with OS (

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsCD8-Positive T-LymphocytesFluorodeoxyglucose F18HumansLymph NodesPositron-Emission TomographyPositron Emission Tomography Computed TomographyProgrammed Cell Death 1 ReceptorFluorodeoxyglucose F18Programmed Cell Death 1 ReceptorbiomarkerimmunotherapyNSCLCPD-1 inhibitorPET–CTT-cell profilingTDLN

Identifiers

PMID37123045
PMCPMC10142313

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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.