Evidence map›Paper›PMID 25031731›Full record

ArticleInternational journal of clinical and experimental pathology2014

Loss of expression of MHC class I-related chain A (MICA) is a frequent event and predicts poor survival in patients with hepatocellular carcinoma.

Jie Zhang, Zhuding Xu, Xingchun Zhou, Haibin Zhang, Ning Yang, Yousheng Wu, Yibing Chen, Guangshun Yang, Tingting Ren

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2014. 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
1.5field-weighted citation impact, top 18% 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, 47 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. State-of-the-Art Liver Cancer Organoids: Modeling Cancer Stem Cell Heterogeneity for Personalized Treatment.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2025
    Review
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  16. Article
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  18. Article
  19. Natural killer NKG2A and NKG2D in patients with colorectal cancer.Journal of gastrointestinal oncology · 2019
    Article
  20. 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

9 authors at 3 institutions in 1 country.

Jie ZhangDepartment of Oncology, The First Affiliated Hospital of Chengdu Medical College Chengdu, Sichuan 610500, China.
Zhuding Xu5th Department of Liver Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University Shanghai, 200438, China.
Xingchun ZhouState Key Laboratory of Cancer Biology, Experimental Teaching Center of Basic Medicine, Fourth Military Medical University Xi'an 710032, China.
Haibin Zhang5th Department of Liver Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University Shanghai, 200438, China.
Ning Yang5th Department of Liver Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University Shanghai, 200438, China.
Yousheng WuState Key Laboratory of Cancer Biology, Experimental Teaching Center of Basic Medicine, Fourth Military Medical University Xi'an 710032, China.
Yibing ChenState Key Laboratory of Cancer Biology, Experimental Teaching Center of Basic Medicine, Fourth Military Medical University Xi'an 710032, China.
Guangshun Yang5th Department of Liver Surgery, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University Shanghai, 200438, China.
Tingting RenState Key Laboratory of Cancer Biology, Experimental Teaching Center of Basic Medicine, Fourth Military Medical University Xi'an 710032, China.
Air Force Medical University · CNSecond Military Medical University · CNFirst Affiliated Hospital of Chengdu Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural killer (NK) cells are important effector cells for the first line of defense against tumor. Distant MHC class I homolog MICA has been identified as human ligand for NK cell activating receptor NKG2D. Engagement of MICA triggers NK cells and augments antigen-specific CTL anti-tumor immunity. However, the expression level of MICA and its clinical significance in hepatocellular carcinoma remains to be elucidated. In the present study, a hospital-based study cohort of 143 HCC patients was involved. MICA expression levels were determined by immunohistochemical staining. The association of MICA expression with tumor clinicopathologic features, disease-free survival, and overall survival of HCC patients were analyzed. Significantly decreased expression of MICA was detected in tumor specimens. MICA expression was significantly associated with AFP level (P < 0.001) and tumor node metastasis stage (P = 0.003). Patients with reduced level of MICA had a statistically significantly shorter disease-free survival and overall survival duration than patients with preserved expression of MICA. However, in multivariate analysis, MICA expression level was found not to be an independent prognostic factor for both disease-free survival and overall survival of HCC patients. Our findings suggest that decreased MICA expression may play an important role in HCC tumor evasion of host immunity, which warrants further investigation in future studies.

Indexed as

AdultAgedBiomarkers, TumorCarcinoma, HepatocellularDisease-Free SurvivalFemaleHistocompatibility Antigens Class IHumansImmunohistochemistryKaplan-Meier EstimateLiver NeoplasmsMaleMiddle AgedPrognosisProportional Hazards ModelsTumor EscapeBiomarkers, TumorHistocompatibility Antigens Class IMHC class I-related chain Ahepatocellular carcinomaimmunohistochemistryMHC class I-related chain

Identifiers

PMID25031731
PMCPMC4097291
OpenAlexW2278150525

What OpenQuestion holds

Textmetadata
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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.