Evidence map›Paper›PMID 20491778›Full record

ArticleCancer science2010

Predictive advantage of a cell type classification for pulmonary adenocarcinoma coupled with data for p53, K-ras and EGFR alterations.

Akira Okada, Takuo Shimmyo, Takehisa Hashimoto, Yasuhito Kobayashi, Yohei Miyagi, Yuichi Ishikawa, Ken Nakagawa, Junichi Hayashi, Eiju Tsuchiya

Open access · bronzeAbstract read
In one paragraph

Article in Cancer science, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

9 authors at 5 institutions in 1 country.

Akira OkadaLaboratory of Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan.
Takuo Shimmyo
Takehisa Hashimoto
Yasuhito Kobayashi
Yohei Miyagi
Yuichi Ishikawa
Ken Nakagawa
Junichi Hayashi
Eiju Tsuchiya
Kanagawa Prefectural Hospital Organization · JPNiigata University · JPSaitama Cancer Center · JPSt. Marianna University School of Medicine · JPThe Cancer Institute Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We analyzed relationships between histological subtypes of pulmonary adenocarcinomas and three gene alterations (p53, K-ras, and epidermal growth factor receptor gene), or thyroid transcription factor-1 (TTF-1) expression, and also studied prognoses by the subtypes, with or without combined multiple gene mutation status. Our purpose was to clearly determine pathogenesis, along with the best predictive value for biology and therapy-related traits. A total of 223 consecutively resected pulmonary adenocarcinomas were sub-classified using either the World Health Organization (WHO) or our five-cell type (FCT) classification system (hobnail, columnar/cuboidal, mixed, polygonal/oval, and goblet cell types). DNAs extracted from frozen samples of the adenocarcinomas were examined for gene alterations, and TTF-1 expressions were determined using immunohistochemistry. Next, relationships among the various data and clinicopathological factors were analyzed. The most striking result was: while almost 70% of adenocarcinomas were sub-classified as a mixed subtype by WHO, the FCT classified many of them as other cell subtypes. The FCT closely reflected differences in etiological factors, cellular lineages, and frequencies of gene mutations; and whether the data from combined gene mutations were used or not, differences among the cell types in postoperative survivals appeared. In contrast, subtypes of WHO did not show any association with the gene alteration or prognosis, and the FCT more suitably indicated sensitivity to gefitinib therapy than did WHO. The FCT combined with multiple gene mutation status appears to be useful in indicating pathogenesis and predicting the biological nature of pulmonary adenocarcinomas, and it could facilitate development of new therapies for each subtype.

Indexed as

Genes, p53Genes, rasAdenocarcinomaAgedErbB ReceptorsFemaleHumansLung NeoplasmsMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsTumor Suppressor Protein p53World Health OrganizationErbB ReceptorsTumor Suppressor Protein p53

Identifiers

PMID20491778
PMCPMC11159221
OpenAlexW2137106977

What OpenQuestion holds

Textmetadata
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.