Evidence map›Paper›PMID 40751830›Full record

ArticleClinical and experimental medicine2025

Treatment of refractory non-small cell lung cancer with combined infusion of modified CIK cells and PD1 antibody: safety and efficacy.

Feiyu Yun, Mark M Yun, Xin Li, Sheng Yun

Abstract read
In one paragraph

Article in Clinical and experimental medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Feiyu YunStem Cell Centre, Affiliated Hospital of Inner Mongolia Medical University, No. 1 Tongdao Beijie, Inner Mongolia, Hohhot, 010050, China.
Mark M YunStem Cell Centre, Affiliated Hospital of Inner Mongolia Medical University, No. 1 Tongdao Beijie, Inner Mongolia, Hohhot, 010050, China.
Xin LiFengyuan Biosciences Company, Guangzhou, 510700, China.
Sheng YunStem Cell Centre, Affiliated Hospital of Inner Mongolia Medical University, No. 1 Tongdao Beijie, Inner Mongolia, Hohhot, 010050, China. yunshengdr@yeah.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate the safety and efficacy of modified CIK cells combined with PD-1 antibody in the treatment of refractory non-small cell lung cancer (NSCLC). Fifteen patients with refractory NSCLC who were treated in our hospital were recruited for this clinical study from January 2015 to December 2020. All patients had disease progression after completing routine treatment. Two of 12 patients achieved a partial remission, 6 had stable disease, and 4 had progressive disease. No serious side effects occurred. The percentage of T helper and NKT-like cells in patients increased significantly after immunotherapy (P < 0.05). In addition, the anti-tumor cytokines (IL-2 and INF-γ) increased significantly (P < 0.05). Although the anti-inflammatory cytokine, IL-10, did not change markedly after immunotherapy (P > 0.05), the Karnofsky Performance Scale was improved. Umbilical cord blood mononuclear cells can be induced into NKT-like cells. Induced NKT-like cells had powerful cytotoxicity against tumor cell lines in vitro when combined with PD1 antibody. Immunotherapy also had a significant therapeutic effect on refractory NSCLC with no serious side effects in vivo.

Indexed as

Carcinoma, Non-Small-Cell LungCytokine-Induced Killer CellsImmunotherapy, AdoptiveLung NeoplasmsProgrammed Cell Death 1 ReceptorAdultAgedCell Line, TumorFemaleHumansMaleMiddle AgedTreatment OutcomePDCD1 protein, humanProgrammed Cell Death 1 ReceptorNKT-like cellsPD1 antibodyRefractory NSCLCUmbilical cord blood mononuclear cells

Identifiers

PMID40751830
PMCPMC12317871

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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.