Evidence map›Paper›PMID 22977516›Full record

ArticleExperimental and therapeutic medicine2011

Use of protein array technology to investigate receptor tyrosine kinases activated in hepatocellular carcinoma.

Shi Liu, Jian Gong, Asahiro Morishita, Takako Nomura, Hisaaki Miyoshi, Joji Tani, Kiyohito Kato, Hirohito Yoneyama, Akihiro Deguchi, Hirohito Mori and 11 more

Open access · hybridAbstract read
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Article in Experimental and therapeutic medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

21 authors at 1 institution in 1 country.

Shi LiuDepartments of Gastroenterology and Neurology.
Jian Gong
Asahiro Morishita
Takako Nomura
Hisaaki Miyoshi
Joji Tani
Kiyohito Kato
Hirohito Yoneyama
Akihiro Deguchi
Hirohito Mori
Shima Mimura
Kei Nomura
Takashi Himoto
Kazushi Deguchi
Keiichi Okano
Kunihiko Izuishi
Yasuyuki Suzuki
Yoshio Kushida
Reiji Haba
Hisakazu Iwama
Tsutomu Masaki
Kagawa University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Receptor tyrosine kinases (RTKs) play a role in various processes, including cell growth, differentiation, apoptosis and carcinogenesis. RTKs are activated in various types of cancers, including breast, stomach, colon, pancreas and liver cancer and hepatocellular carcinoma (HCC). In the present study, protein array technology was used to analyze the expression status of various RTKs activated in HCC. The expression of activated RTKs was examined in the HCC cell lines, Alex, HuH7, Li-7, Hep3B, HLE and HLF; in the human normal hepatocyte cell line, hNHeps; and in human HCC and adjacent non-cancerous tissues. Of the 42 different phospho-RTKs, 15 (ErbB2, ErbB3, ErbB4, FGFR2α, FGFR3, insulin R, Mer, PDGFRβ, c-Ret, ROR2, Tie, TrkA, VEGFR3, EphA1 and EphA4) were activated in some of the cancer cell lines studied. Among these, only ErbB2 was activated in all the HCC cell lines examined. Also, in vitro experiments were performed in subcutaneous HCC-bearing athymic nude mice to determine the therapeutic effects of inhibiting ErbB2 activation using the ErbB2-targeting drug trastuzumab. The results revealed that trastuzumab markedly suppressed the growth of HCC. These data suggest that ErbB2 is activated in HCC and that trastuzumab may play a role in the treatment of this disease. In addition, the use of protein array technology is proposed as a tool for detecting the expression of activated RTKs and identifying an effective RTK-based therapy.

Identifiers

PMID22977516
PMCPMC3440766
OpenAlexW2168290520

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.