Evidence map›Paper›PMID 34774004›Full record

SynthesisBMC cancer2021

The relationship between blood-based tumor mutation burden level and efficacy of PD-1/PD-L1 inhibitors in advanced non-small cell lung cancer: a systematic review and meta-analysis.

He Ba, Lei Liu, Qiang Peng, Jie Chen, Yao-Dong Zhu

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. COPD-Lung Cancer Comorbidity: Mechanistic Insights and Precision Oncology Implications.International journal of chronic obstructive pulmonary disease · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
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

5 authors at 2 institutions in 1 country.

He BaDepartment of Integrated Traditional and Western Medicine in Oncology, First Affiliated Hospital of Medical University of Anhui, Anhui, China.
Lei LiuDepartment of Hepatobiliary Surgery, First Affiliated Hospital of Medical University of Anhui, Anhui, China.
Qiang PengDepartment of Gastrointestinal Surgery, First Affiliated Hospital of Medical University of Anhui, Anhui, China.
Jie ChenDepartment of Integrated Traditional and Western Medicine in Oncology, First Affiliated Hospital of Medical University of Anhui, Anhui, China.
Yao-Dong ZhuDepartment of Integrated Traditional and Western Medicine in Oncology, First Affiliated Hospital of Medical University of Anhui, Anhui, China. zhuyaodong2013@163.com.
Anhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe predictive role of blood-based tumor mutation burden (bTMB) for selecting advanced nonsmall cell lung cancer (NSCLC) patients who might benefit from immune checkpoint inhibitors (ICIs) is still under debate. Therefore, the purpose of this meta-analysis was to evaluate the efficacy of programmed cell death 1 (PD-1) /programmed cell death ligand 1 (PD-L1) inhibitors versus that of standard-of-care therapy in patients with NSCLC who were bTMB high and bTMB low.

methodsPubMed, Embase, Cochrane, the Web of Science, and ClinicalTrials.gov were searched systematically from inception to February 2021 for studies of PD-1/PD-L1 inhibitors (durvalumab OR atezolizumab OR avelumab OR pembrolizumab OR Nivolumab) that provided hazard ratios (HRs) for overall survival (OS) or progression-free survival (PFS), or odds ratios (ORs) for objective response rate (ORR) in both bTMB high and bTMB low groups.

resultsA total of 2338 patients with advanced or metastatic NSCLC from six randomized controlled trials, which all used chemotherapy (CT) as a control, were included in this study. Compared with CT, PD-1/PD-L1 inhibitor therapy improved OS (HR 0.62, 95% CI 0.52-0.75, P < 0.01), PFS (HR 0.57, 95% CI 0.48-0.67, P < 0.01), and ORR (OR 2.69, 95% CI 1.84-3.93, P < 0.01) in bTMB-high NSCLC patients but not in bTMB-low patients (OS HR 0.86, 95% CI 0.69-1.07, P = 0.17; PFS HR 1.00, 95% CI 0.78-1.27, P = 0.98; ORR OR 0.63, 95% CI 0.49-0.80, P = 0.03). Subgroup analyses showed that these results were consistent across all subgroups (line of therapy, therapy regimen, type of NGS panel, PD-L1 expression, and cutoff value). Meta-regression analysis showed that the proportion of patients with squamous cell histology had no statistical effect on clinical outcomes. Sensitivity analyses illustrated that all results were stable.

conclusionsThe efficacy of PD-1/PD-L1 inhibitor therapy in advanced NSCLC patients may be dependent on bTMB level. Patients with high bTMB tend to obtain significantly better OS, PFS, and ORR from PD-1/PD-L1 inhibitor therapy than from CT. However, because of multiple limitations, including those related to reproducibility, the results are exploratory and should be interpreted with caution.

Indexed as

Mutation RateAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic AgentsCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellHumansImmune Checkpoint InhibitorsLung NeoplasmsNivolumabOdds RatioProgression-Free SurvivalRandomized Controlled Trials as TopicRegression AnalysisTreatment OutcomeAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic AgentsatezolizumabdurvalumabImmune Checkpoint InhibitorsNivolumabpembrolizumabBloodLung cancerMeta-analysisNSCLCPD-1PD-L1SurvivalTumor mutation burden

Identifiers

PMID34774004
PMCPMC8590772
OpenAlexW3213775867

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.