Evidence map›Paper›PMID 28412745›Full record

ArticleOncotarget2017

Neutrophil count is associated with myeloid derived suppressor cell level and presents prognostic value of for hepatocellular carcinoma patients.

Xing Li, Yan-Fang Xing, Ai-Hua Lei, Qiang Xiao, Zhi-Huan Lin, Ying-Fen Hong, Xiang-Yuan Wu, Jie Zhou

Abstract 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 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Myeloid cells in chronic liver inflammation.Cellular & molecular immunology · 2025
    Review
  5. Roles of Peripheral Nerves in Tumor Initiation and Progression.International journal of molecular sciences · 2025
    Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Preoperative splenic area as a prognostic biomarker of early-stage non-small cell lung cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023
    Article
  12. Review
  13. Immunotherapy for advanced or recurrent hepatocellular carcinoma.World journal of gastrointestinal oncology · 2023
    Review
  14. Article
  15. Review
  16. Review
  17. Neutrophils as potential therapeutic targets in hepatocellular carcinoma.Nature reviews. Gastroenterology & hepatology · 2022
    Review
  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

8 authors.

Xing LiProgram in Immunology, Affiliated Guangzhou Women and Children's Medical Center, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
Yan-Fang XingDepartment of Nephrology, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Ai-Hua LeiProgram in Immunology, Affiliated Guangzhou Women and Children's Medical Center, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
Qiang XiaoProgram in Immunology, Affiliated Guangzhou Women and Children's Medical Center, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
Zhi-Huan LinDepartment of Medical Oncology and Guangdong Key Laboratory of Liver Disease, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Ying-Fen HongDepartment of Medical Oncology and Guangdong Key Laboratory of Liver Disease, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Xiang-Yuan WuDepartment of Medical Oncology and Guangdong Key Laboratory of Liver Disease, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Jie ZhouProgram in Immunology, Affiliated Guangzhou Women and Children's Medical Center, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myeloid Derived Suppressor Cell (MDSC) has been raised to be a novel target for multiple cancers. However, target agents on MDSC have not display promising efficacy. One of the critical reasons shall be less optimal patient selection. In the present study, we aimed to identify clinical parameters relevant to MDSC level in hepatocellular carcinoma (HCC) patients for future MDSC targeted therapy. In the present study, a series of 55 HCC patients (testing group) and 20 healthy donors were analyzed investigating frequencies of MDSC in peripheral blood mononuclear cells (PBMC). As a result, we found that MDSC level was increased in HCC patients compared to healthy donors (10.33% vs 1.54%, p < 0.0001). The monocytes (r2 = 0.2875, p < 0.0001), neutrophils (r2 = 0.3630, p < 0.0001) and platelet counts (r2 = 0.0828, p = 0.0331) in circulation was positively associated with MDSC level. Then, the prognostic value of the above predictors was determined in a retrospective database of 255 HCC patients (validation group). The baseline characteristics of testing and validation group were similar. Multivariate analysis by Cox regression revealed that neutrophil count was an independent predictor for overall survival (OS) (p = 0.000, HR 1.065, 95% CI 1.028-1.103), with the rest parameters failed to reach a significant result. In summary, the present study firstly identified blood neutrophil counts was a predictor of MDSC level in PBMC for HCC patients. And, patients with higher neutrophil count level might be the optimal patient subgroup for MDSC targeted therapy.

Indexed as

AdultAgedCarcinoma, HepatocellularFemaleHumansLiver NeoplasmsMaleMiddle AgedNeutrophilsPrognosishepatocellular carcinomamyeloid derived suppressor cellneutrophil countspatient selectionprognosis

Identifiers

PMID28412745
PMCPMC5421855

What OpenQuestion holds

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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.