Evidence map›Paper›PMID 27918554›Full record

ArticleLaboratory investigation; a journal of technical methods and pathology2017

ASIC1a mediates the drug resistance of human hepatocellular carcinoma via the Ca

Yihao Zhang, Ting Zhang, Chao Wu, Quan Xia, Dujuan Xu

Open access · bronzeAbstract read
In one paragraph

Article in Laboratory investigation; a journal of technical methods and pathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

28 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. [Liver cancer treatment with mitochondrial homeostasis].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2024
    Article
  5. Dysregulated Signalling Pathways Driving Anticancer Drug Resistance.International journal of molecular sciences · 2023
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Ion Channel Involvement in Tumor Drug Resistance.Journal of personalized medicine · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. LLGL2 Increases CaFrontiers in oncology · 2021
    Article
  17. Article
  18. Review
  19. Review
  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

5 authors at 3 institutions in 1 country.

Yihao ZhangSchool of Pharmacy, Anhui Medical University, Hefei, China.
Ting ZhangSchool of Pharmacy, Anhui Medical University, Hefei, China.
Chao WuSchool of Pharmacy, Anhui Medical University, Hefei, China.
Quan XiaThe First Affiliated Hospital of Anhui Medical University, Hefei, China.
Dujuan XuSchool of Pharmacy, Anhui Medical University, Hefei, China.
Anhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CNState Administration of Traditional Chinese Medicine of the People's Republic of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemotherapy is the main treatment method of patients with advanced liver cancer. However, drug resistance is a serious problem in the treatment of hepatocellular carcinoma (HCC). Acid sensing ion channel 1a (ASIC1a) is a H

Indexed as

Drug Resistance, NeoplasmAcid Sensing Ion ChannelsBlotting, WesternCalciumCarcinoma, HepatocellularCell Line, TumorHep G2 CellsHumansImmunohistochemistryLiver NeoplasmsPhosphatidylinositol 3-KinaseProto-Oncogene Proteins c-aktRNA InterferenceSignal TransductionAcid Sensing Ion ChannelsASIC1 protein, humanCalciumPhosphatidylinositol 3-KinaseProto-Oncogene Proteins c-akt

Identifiers

PMID27918554
PMCPMC5220138
OpenAlexW2560385398

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.