Evidence map›Paper›PMID 38451413›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2024

Variation of peripheral blood-based biomarkers for response of anti-PD-1 immunotherapy in non-small-cell lung cancer.

Xiaoming Wang, Dayu Chen, Yuyan Ma, Dongping Mo, Feng Yan

Open access · hybridAbstract read
In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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 1 institution in 1 country.

Xiaoming WangDepartment of Clinical Laboratory, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Baizi Ting No.42, Nanjing, 210009, Jiangsu, China.
Dayu ChenDepartment of Clinical Laboratory, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Baizi Ting No.42, Nanjing, 210009, Jiangsu, China.
Yuyan MaDepartment of Clinical Laboratory, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Baizi Ting No.42, Nanjing, 210009, Jiangsu, China.
Dongping MoDepartment of Clinical Laboratory, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Baizi Ting No.42, Nanjing, 210009, Jiangsu, China.
Feng YanDepartment of Clinical Laboratory, Nanjing Medical University Affiliated Cancer Hospital & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Baizi Ting No.42, Nanjing, 210009, Jiangsu, China. yanfeng@jszlyy.com.cn.ORCID http://orcid.org/0000-0003-3030-5211
Jiangsu Cancer Hospital · CN

Funding

National Natural Science Foundation of China 81871718
6 · The paper itself

Abstract

purposeImmune checkpoint inhibitors (ICIs) for non-small-cell lung cancer (NSCLC) are on the rise, but unfortunately, only a small percentage of patients benefit from them in the long term. Thus, it is crucial to identify biomarkers that can forecast the efficacy of immunotherapy.

methodsWe retrospectively studied 224 patients with NSCLC who underwent anti-PD-1 therapy. The role of biomarkers and clinical characteristics were assessed in a prognostic model.

resultsOnly 14.3% of patients had both programmed death ligand 1 (PD-L1) and tumor mutational burden (TMB) outcomes, highlighting the need to investigate more available biomarkers. Our analysis found a correlation between histological PD-L1 TPS and hematological PD-1 expression. Analysis of hematological biomarkers revealed that elevated expression of CD4/CD8 and LYM% are positively associated with effective immunotherapy, while PD-1

conclusionOur research has yielded encouraging results in identifying a correlation between immunotherapy's response and clinical characteristics, peripheral immune cell subsets, and biochemical and immunological biomarkers. The screened hematological detection panel could be used to forecast an NSCLC patient's response to anti-PD-1 immunotherapy with an accuracy rate of 76.3%, which could help customize suitable therapeutic decision-making.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungImmune Checkpoint InhibitorsImmunotherapyLung NeoplasmsAdultAgedAged, 80 and overB7-H1 AntigenCarcinoma, Squamous CellFemaleHumansMaleMiddle AgedPrognosisProgrammed Cell Death 1 ReceptorB7-H1 AntigenBiomarkers, TumorCD274 protein, humanImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorHematological biomarkersImmunotherapyMachine learningNon-small-cell lung cancer

Identifiers

PMID38451413
PMCPMC11249409
OpenAlexW4392545490

What OpenQuestion holds

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LicenceCC BY
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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.