Evidence map›Paper›PMID 28624781›Full record

ArticleOncotarget2017

Predictive value of peripheral regulatory T cells in non-small cell lung cancer patients undergoing radiotherapy.

Chao Liu, Shikai Wu, Xiangying Meng, Guangxian Liu, Dongmei Chen, Yang Cong, Ge Shen, Bing Sun, Wei Wang, Qian Wang and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.1field-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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. The Role of Regulatory T Cells in Cancer Treatment Resistance.International journal of molecular sciences · 2023
    Review
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  10. Review
  11. Circulating T regulatory cell subsets in patients with untreated lung cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
    Article
  12. Article
  13. Article
  14. Review
  15. The Binary Classification of Protein Kinases.Journal of inflammation research · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

12 authors at 1 institution in 1 country.

Chao LiuDepartment of Radiation Oncology, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Shikai WuDepartment of Radiation Oncology, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Xiangying MengDepartment of Radiation Oncology, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Guangxian LiuCancer Therapy Center, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Dongmei ChenDepartment of Radiation Oncology, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Yang CongDepartment of Radiation Oncology, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Ge ShenDepartment of Radiation Oncology, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Bing SunDepartment of Radiation Oncology, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Wei WangCancer Therapy Center, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Qian WangDepartment of Radiation Oncology, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Hongjun GaoDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Xiaoqing LiuDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Academy of Military Medical Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies increasingly focus on the impact of radiotherapy on immunity; however, the role of peripheral cellular immunity prior to radiotherapy in cancer patients remains largely unknown. In this study, we investigated the predictive roles of lymphocyte subsets on tumor progression in non-small cell lung cancer (NSCLC) patients undergoing radiotherapy, and their expression in NSCLC patients at first relapse.

methodsWe enrolled 70 NSCLC patients and 14 age- and sex-matched healthy donors and tested the lymphocyte subsets in their peripheral blood by flow cytometry. Among them, 40 newly diagnosed patients received radiotherapy and were enrolled to investigate the predictive value of lymphocyte subsets on tumor progression after radiotherapy by uni- and multivariate analyses; 30 patients at first relapse were included to evaluate the differences of lymphocyte subsets between them and first diagnosed patients and healthy volunteers.

resultsIncreased proportions of regulatory T cells, CD8+ T cells, and CD8+CD28- T cells and decreased CD4+ T cells and CD4/CD8 ratios were observed in NSCLC patients at first relapse compared to newly diagnosed patients. In the 40 first diagnosed patients undergoing radiotherapy, uni- and multivariate analyses showed that increased level of regulatory T cells correlated with poor progression-free survival (hazard ratio = 2.55 and 3.76, P = 0.022 and 0.010, respectively).

conclusionsPeripheral regulatory T cells were increased and independently predict tumor progression in NSCLC patients undergoing radiotherapy, suggesting the promising combination of radiotherapy and immunotherapy.

Indexed as

AdultAgedAged, 80 and overBiomarkersCarcinoma, Non-Small-Cell LungCombined Modality TherapyFemaleFlow CytometryHumansImmunotherapyKaplan-Meier EstimateLung NeoplasmsLymphocyte CountLymphocytes, Tumor-InfiltratingMaleMiddle AgedBiomarkersimmunotherapylymphocyte subsetsnon-small cell lung cancerstereotactic body radiation therapyT cells

Identifiers

PMID28624781
PMCPMC5522158
OpenAlexW2588523222

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.