Evidence map›Paper›PMID 19459854›Full record

ArticleCancer science2009

Quantification of mouse pulmonary cancer models by microcomputed tomography imaging.

Hiroshi Fushiki, Tomoko Kanoh-Azuma, Masahiro Katoh, Ken Kawabata, Jian Jiang, Nozomi Tsuchiya, Akio Satow, Yoshitaka Tamai, Yoshihiro Hayakawa

Open access · bronzeAbstract read
In one paragraph

Article in Cancer science, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
5.2field-weighted citation impact, top 5% 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

38 citing papers in PubMed, 64 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

9 authors at 1 institution in 2 countries.

Hiroshi FushikiDepartment of Pharmacology, Tsukuba Research Institute, Banyu Pharmaceutical, Ibaraki, Japan.
Tomoko Kanoh-Azuma
Masahiro Katoh
Ken Kawabata
Jian Jiang
Nozomi Tsuchiya
Akio Satow
Yoshitaka Tamai
Yoshihiro Hayakawa
Food Research Institute · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advances in preclinical cancer models, including orthotopic implantation models or genetically engineered mouse models of cancer, enable pursuing the molecular mechanism of cancer disease that might mimic genetic and biological processes in humans. Lung cancer is the major cause of cancer deaths; therefore, the treatment and prevention of lung cancer are expected to be improved by a better understanding of the complex mechanism of disease. In this study, we have examined the quantification of two distinct mouse lung cancer models by utilizing imaging modalities for monitoring tumor progression and drug efficacy evaluation. The utility of microcomputed tomography (micro-CT) for real-time/non-invasive monitoring of lung cancer progression has been confirmed by combining bioluminescent imaging and histopathological analyses. Further, we have developed a more clinically relevant lung cancer model by utilizing K-ras(LSL-G12D)/p53(LSL-R270H) mutant mice. Using micro-CT imaging, we monitored the development and progression of solitary lung tumor in K-ras(LSL-G12D)/p53(LSL-R270H) mutant mouse, and further demonstrated tumor growth inhibition by anticancer drug treatment. These results clearly indicate that imaging-guided evaluation of more clinically relevant tumor models would improve the process of new drug discovery and increase the probability of success in subsequent clinical studies.

Indexed as

AdenoviridaeAnimalsAntineoplastic AgentsCarcinoma, Lewis LungCell Line, TumorCisplatinDeoxycytidineDisease Models, AnimalDisease ProgressionDrug Therapy, CombinationGemcitabineGenes, rasLentivirusLuciferasesLuminescent MeasurementsLung NeoplasmsAntineoplastic AgentsCisplatinDeoxycytidineGemcitabineLuciferasesTumor Suppressor Protein p53

Identifiers

PMID19459854
PMCPMC11158256
OpenAlexW2006406032

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.