Evidence map›Paper›PMID 36119066›Full record

ArticleFrontiers in immunology2022

Definition of a new blood cell count score for early survival prediction for non-small cell lung cancer patients treated with atezolizumab: Integrated analysis of four multicenter clinical trials.

Jian-Guo Zhou, Ada Hang-Heng Wong, Haitao Wang, Su-Han Jin, Fangya Tan, Yu-Zhong Chen, Si-Si He, Gang Shen, Benjamin Frey, Rainer Fietkau and 7 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

17 authors at 7 institutions in 3 countries.

Jian-Guo ZhouDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Ada Hang-Heng WongAW Medical Co. Ltd., Macau, Macao SAR, China.
Haitao WangThoracic Epigenetics Section, Thoracic Surgery Branch, Center for Cancer Research National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States.
Su-Han JinSpecial Key Laboratory of Oral Diseases Research, Stomatological Hospital Affiliated to Zunyi Medical University, Zunyi, China.
Fangya TanDepartment of Analytics, Harrisburg University of Science and Technology, Harrisburg, PA, United States.
Yu-Zhong ChenThe Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Nanjing, China.
Si-Si HeDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Gang ShenDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Benjamin FreyDepartment of Radiation Oncology, Translational Radiobiology, Universitätsklinikum Erlangen, Erlangen, Germany.
Rainer FietkauDepartment of Radiation Oncology, Universitätsklinikum Erlangen, Erlangen, Germany.
Markus HechtDepartment of Radiation Oncology, Universitätsklinikum Erlangen, Erlangen, Germany.
Shamus R CarrThoracic Epigenetics Section, Thoracic Surgery Branch, Center for Cancer Research National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States.
Ruihong WangThoracic Epigenetics Section, Thoracic Surgery Branch, Center for Cancer Research National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States.
Bo ShenThe Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research, Nanjing, China.
David S SchrumpThoracic Epigenetics Section, Thoracic Surgery Branch, Center for Cancer Research National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States.
Hu MaDepartment of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Udo S GaiplDepartment of Radiation Oncology, Translational Radiobiology, Universitätsklinikum Erlangen, Erlangen, Germany.
Zunyi Medical University · CNComprehensive Cancer Center Erlangen · DENational Institutes of Health · USJiangsu Cancer Hospital · CNCenter for Cancer Research · USHarrisburg University of Science and Technology · USUniversitätsklinikum Erlangen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Blood cell count test (BCT) is a robust method that provides direct quantification of various types of immune cells to reveal the immune landscape to predict atezolizumab treatment outcomes for clinicians to decide the next phase of treatment. Objective: This study aims to define a new BCTscore model to predict atezolizumab treatment benefits in non-small lung cell cancer (NSCLC) patients. Design Setting and Participants: This study analyzed four international, multicenter clinical trials (OAK, BIRCH, POPLAR, and FIR trials) to conduct Main Outcomes and Measures: Overall survival (OS) was used as the primary end point, whereas progression-free survival (PFS) according to Response Evaluation Criteria in Solid Tumors (RECIST), clinical benefit (CB), and objective response rate (ORR) were used as secondary end points. Results: The BCT biomarkers of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) at time point T3 and neutrophil-to-monocyte ratio (NMR) at time point T2 with absolute cutoff values of NLR_T3 = 5, PLR_T3 = 180, and NMR_T2 = 6 were identified as strong predictive biomarkers for atezolizumab (Ate)-treated NSCLC patients in comparison with docetaxel (Dtx)-treated patients regarding OS (BCTscore low risk: HR Conclusion and Relevance: The BCTscore model is a valid predictive and prognostic biomarker for early survival prediction in atezolizumab-treated NSCLC patients.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedBlood Cell CountDocetaxelHumansAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedatezolizumabDocetaxelatezolizumabbiomarkerblood cell countclinical trialNSCLC

Identifiers

PMID36119066
PMCPMC9478919
OpenAlexW4294225819

What OpenQuestion holds

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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.