Evidence map›Paper›PMID 37638022›Full record

ArticleFrontiers in immunology2023

Dynamic evaluation of blood immune cells predictive of response to immune checkpoint inhibitors in NSCLC by multicolor spectrum flow cytometry.

Weijie Ma, Sixi Wei, Siqi Long, Eddie C Tian, Bridget McLaughlin, Maria Jaimes, Dennis J Montoya, Varun R Viswanath, Jeremy Chien, Qianjun Zhang and 3 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Neuromuscular complications associated with cancer immunotherapy.Journal of the National Cancer Center · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Peripheral NK cells identified as the predictor of response in extensive-stage small cell lung cancer patients treated with first-line immunotherapy plus chemotherapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Article
  10. Review
  11. Review
  12. 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

13 authors.

Weijie MaDivision of Hematology/Oncology, Department of Internal Medicine, University of California Davis Comprehensive Cancer Center, University of California Davis School of Medicine, Sacramento, CA, United States.
Sixi WeiDivision of Hematology/Oncology, Department of Internal Medicine, University of California Davis Comprehensive Cancer Center, University of California Davis School of Medicine, Sacramento, CA, United States.
Siqi LongDivision of Hematology/Oncology, Department of Internal Medicine, University of California Davis Comprehensive Cancer Center, University of California Davis School of Medicine, Sacramento, CA, United States.
Eddie C TianDivision of Hematology/Oncology, Department of Internal Medicine, University of California Davis Comprehensive Cancer Center, University of California Davis School of Medicine, Sacramento, CA, United States.
Bridget McLaughlinUniversity of California Davis, Flow cytometry Shared Resource, Davis, CA, United States.
Maria JaimesCytek Biosciences, Fremont, CA, United States.
Dennis J MontoyaDepartment of Biochemistry and Molecular Medicine, University of California Davis, Sacramento, CA, United States.
Varun R ViswanathDivision of Hematology/Oncology, Department of Internal Medicine, University of California Davis Comprehensive Cancer Center, University of California Davis School of Medicine, Sacramento, CA, United States.
Jeremy ChienDepartment of Biochemistry and Molecular Medicine, University of California Davis, Sacramento, CA, United States.
Qianjun ZhangBeckman Coulter Life Sciences, San Jose, CA, United States.
Jonathan E Van DykeUniversity of California Davis, Flow cytometry Shared Resource, Davis, CA, United States.
Shuai ChenDivision of Biostatistics, Department of Public Health Sciences, University of California, Davis, Davis, CA, United States.
Tianhong LiDivision of Hematology/Oncology, Department of Internal Medicine, University of California Davis Comprehensive Cancer Center, University of California Davis School of Medicine, Sacramento, CA, United States.

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI KC KENT LLOYD · 2002 to 2026
$84.9M
Targeting Integrins in Lung CancerI01BX003895 · VA · VA NORTHERN CALIFORNIA HEALTH CARE SYS · PI LI, TIANHONG · 2021 to 2024
–
BLRD VA I01 BX003895NCI NIH HHS P30 CA093373
6 · The paper itself

Abstract

Introduction: Immune checkpoint inhibitors (ICIs) only benefit a subset of cancer patients, underlining the need for predictive biomarkers for patient selection. Given the limitations of tumor tissue availability, flow cytometry of peripheral blood mononuclear cells (PBMCs) is considered a noninvasive method for immune monitoring. This study explores the use of spectrum flow cytometry, which allows a more comprehensive analysis of a greater number of markers using fewer immune cells, to identify potential blood immune biomarkers and monitor ICI treatment in non-small-cell lung cancer (NSCLC) patients. Methods: PBMCs were collected from 14 non-small-cell lung cancer (NSCLC) patients before and after ICI treatment and 4 healthy human donors. Using spectrum flow cytometry, 24 immune cell markers were simultaneously monitored using only 1 million PBMCs. The results were also compared with those from clinical flow cytometry and bulk RNA sequencing analysis. Results: Our findings showed that the measurement of CD4+ and CD8+ T cells by spectrum flow cytometry matched well with those by clinical flow cytometry (Pearson R ranging from 0.75 to 0.95) and bulk RNA sequencing analysis (R=0.80, P=1.3 x 10-4). A lower frequency of CD4+ central memory cells before treatment was associated with a longer median progression-free survival (PFS) [Not reached (NR) vs. 5 months; hazard ratio (HR)=8.1, 95% confidence interval (CI) 1.5-42, P=0.01]. A higher frequency of CD4-CD8- double-negative (DN) T cells was associated with a longer PFS (NR vs. 4.45 months; HR=11.1, 95% CI 2.2-55.0, P=0.003). ICIs significantly changed the frequency of cytotoxic CD8+PD1+ T cells, DN T cells, CD16+CD56dim and CD16+CD56- natural killer (NK) cells, and CD14+HLDRhigh and CD11c+HLADR + monocytes. Of these immune cell subtypes, an increase in the frequency of CD16+CD56dim NK cells and CD14+HLADRhigh monocytes after treatment compared to before treatment were associated with a longer PFS (NR vs. 5 months, HR=5.4, 95% CI 1.1-25.7, P=0.03; 7.8 vs. 3.8 months, HR=5.7, 95% CI 169 1.0-31.7, P=0.04), respectively. Conclusion: Our preliminary findings suggest that the use of multicolor spectrum flow cytometry helps identify potential blood immune biomarkers for ICI treatment, which warrants further validation.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsFlow CytometryHumansImmune Checkpoint InhibitorsLeukocytes, MononuclearImmune Checkpoint Inhibitorsbloodimmune biomarkerimmune checkpoint inhibitorsmultiplexnon-small cell lung cancerperipheral blood mononuclear cellspredictivespectrum flow cytometry

Identifiers

PMID37638022
PMCPMC10449448

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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.