Evidence map›Paper›PMID 31485674›Full record

ArticleOncology reports2019

In vivo effects of mutant RHOA on tumor formation in an orthotopic inoculation model.

Takashi Nishizawa, Kiyotaka Nakano, Etsuko Fujii, Daisuke Komura, Yoshie Kuroiwa, Chisako Ishimaru, Makoto Monnai, Hiroyuki Aburatani, Shumpei Ishikawa, Masami Suzuki

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

10 authors at 3 institutions in 1 country.

Takashi NishizawaDepartment of Research, Forerunner Pharma Research Co., Ltd., Komaba Open Laboratory, The University of Tokyo, Tokyo 153‑8904, Japan.
Kiyotaka NakanoDepartment of Research, Forerunner Pharma Research Co., Ltd., Komaba Open Laboratory, The University of Tokyo, Tokyo 153‑8904, Japan.
Etsuko FujiiDepartment of Research, Forerunner Pharma Research Co., Ltd., Komaba Open Laboratory, The University of Tokyo, Tokyo 153‑8904, Japan.
Daisuke KomuraDepartment of Genomic Pathology, Medical Research Institute, Tokyo Medical and Dental University, Tokyo 113‑8510, Japan.
Yoshie KuroiwaChugai Research Institute for Medical Science Co., Ltd., Kamakura, Kanagawa 247‑8530, Japan.
Chisako IshimaruChugai Research Institute for Medical Science Co., Ltd., Kamakura, Kanagawa 247‑8530, Japan.
Makoto MonnaiChugai Research Institute for Medical Science Co., Ltd., Kamakura, Kanagawa 247‑8530, Japan.
Hiroyuki AburataniGenome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153‑8904, Japan.
Shumpei IshikawaDepartment of Genomic Pathology, Medical Research Institute, Tokyo Medical and Dental University, Tokyo 113‑8510, Japan.
Masami SuzukiDepartment of Research, Forerunner Pharma Research Co., Ltd., Komaba Open Laboratory, The University of Tokyo, Tokyo 153‑8904, Japan.
The University of Tokyo · JPKAN Research Institute · JPTokyo Medical and Dental University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ras homolog family member A (RHOA) mutations are driver genes in diffuse‑type gastric cancers (DGCs), and we previously revealed that RHOA mutations contribute to cancer cell survival and cell migration through their dominant negative effect on Rho‑associated kinase (ROCK) signaling in vitro. However, how RHOA mutations contribute to DGC development in vivo is poorly understood. In the present study, the contribution of RHOA mutations to tumor morphology was investigated using an orthotopic xenograft model using the gastric cancer cell line MKN74, in which wild‑type (WT) or mutated (Y42C and Y42S) RHOA had been introduced. When we conducted RNA sequencing to distinguish between the genes expressed in human tumor tissues from those in mouse stroma, the expression profiles of the tumors were clearly divided into a Y42C/Y42S group and a mock/WT group. Through gene set enrichment analysis, it was revealed that inflammation‑ and hypoxia‑related pathways were enriched in the mock/WT tumors; however, cell metabolism‑ and cell cycle‑related pathways such as Myc, E2F, oxidative phosphorylation and G2M checkpoint were enriched in the Y42C/Y42S tumors. In addition, the gene set related to ROCK signaling inhibition was enriched in the RHOA‑mutated group, which indicated that a series of events are related to ROCK inhibition induced by RHOA mutations. Histopathological analysis revealed that small tumor nests were more frequent in RHOA mutants than in the mock or WT group. In addition, increased blood vessel formation and infiltration of macrophages within the tumor mass were observed in the RHOA mutants. Furthermore, unlike mock/WT, the RHOA‑mutated tumor cells had little antitumor host reaction in the invasive front, which is similar to the pattern of mucosal invasion in clinical RHOA‑mutated DGC. These transcriptome and pathological analyses revealed that mutated RHOA functionally contributes to the acquisition of DGC features, which will accelerate our understanding of the contribution of RHOA mutations in DGC biology and the development of further therapeutic strategies.

Indexed as

MutationAnimalsCell Line, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMaleMiceNeoplasm TransplantationrhoA GTP-Binding ProteinSignal TransductionStomach NeoplasmsrhoA GTP-Binding ProteinRHOA protein, human

Identifiers

PMID31485674
PMCPMC6775816
OpenAlexW2972103046

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.