Evidence map›Paper›PMID 31884965›Full record

ArticleWorld journal of surgical oncology2019

Rabbit VX2 lung tumor models can form early nodal metastases.

Alexander Gregor, Kosuke Fujino, Nicholas Bernards, Tomonari Kinoshita, Yamato Motooka, Terunaga Inage, Tsukasa Ishiwata, Zhenchian Chen, Hideki Ujiie, Chang Young Lee and 1 more

Abstract read
In one paragraph

Article in World journal of surgical oncology, 2019. 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
–field-weighted citation impact
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.

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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

11 authors.

Alexander GregorDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, 200 Elizabeth St, 9N-957, Toronto, ON, M5G2C4, Canada.ORCID http://orcid.org/0000-0001-7365-6084
Kosuke FujinoDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, 200 Elizabeth St, 9N-957, Toronto, ON, M5G2C4, Canada.
Nicholas BernardsDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, 200 Elizabeth St, 9N-957, Toronto, ON, M5G2C4, Canada.
Tomonari KinoshitaDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, 200 Elizabeth St, 9N-957, Toronto, ON, M5G2C4, Canada.
Yamato MotookaDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, 200 Elizabeth St, 9N-957, Toronto, ON, M5G2C4, Canada.
Terunaga InageDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, 200 Elizabeth St, 9N-957, Toronto, ON, M5G2C4, Canada.
Tsukasa IshiwataDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, 200 Elizabeth St, 9N-957, Toronto, ON, M5G2C4, Canada.
Zhenchian ChenDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, 200 Elizabeth St, 9N-957, Toronto, ON, M5G2C4, Canada.
Hideki UjiieDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, 200 Elizabeth St, 9N-957, Toronto, ON, M5G2C4, Canada.
Chang Young LeeDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, 200 Elizabeth St, 9N-957, Toronto, ON, M5G2C4, Canada.
Kazuhiro YasufukuDivision of Thoracic Surgery, Toronto General Hospital, University Health Network, 200 Elizabeth St, 9N-957, Toronto, ON, M5G2C4, Canada. kazuhiro.yasufuku@uhn.ca.

Funding

Canadian Cancer Society Research Institute 704123Canadian Cancer Society Research Institute 706354
6 · The paper itself

Abstract

backgroundThe rabbit squamous cell cancer line, VX2, has been used to generate various tumor models in rabbits. It is notable for its ability to generate nodal metastases. However, the timing and extent of nodal metastases vary by primary inoculation site and methodology. The development of metastases specifically in lung cancer models has not been well-described. We sought to characterize the generation of nodal metastases in rabbit transbronchial VX2 lung tumor models.

methodsRabbit VX2 lung tumor models were created in the right lung via transbronchial injection and serially imaged by computed tomography. Rabbits (n = 15) were sacrificed from between 5 and 24 days post-inoculation for collection of the ipsilateral and contralateral paratracheal lymph nodes. These underwent histopathological evaluation for metastases using hematoxylin and eosin as well as cytokeratin AE1/AE3 immunohistochemical staining.

resultsNodal metastases were detectable as early as 1 week after inoculation but were more prevalent with longer inoculation; all rabbits at > 2 weeks post-inoculation had nodal metastases. Contralateral metastases were in general seen later than ipsilateral metastases. Lymph node volume did not predict the likelihood of nodal metastases (p = 0.4 and p = 0.07 for ipsilateral and contralateral nodal metastases, respectively), but primary tumor volume was significantly associated with the likelihood of nodal metastases (p = 0.001 and p = 0.005 for ipsilateral and contralateral nodal metastases, respectively). Ipsilateral metastases were detectable at a tumor diameter of 1 cm; contralateral metastases were more variable but in general required a tumor diameter of 2 cm.

conclusionsRabbit transbronchial VX2 lung tumor models generate nodal metastases relatively early after inoculation. These results suggest such models may be valuable tools in the investigation of novel therapeutic modalities relevant for the treatment of both early-stage and locally advanced lung cancer.

Indexed as

Disease Models, AnimalAnimalsCarcinoma, Squamous CellCell Line, TumorFemaleLung NeoplasmsLymphatic MetastasisLymph NodesRabbitsTomography, X-Ray ComputedAnimalDisease modelsLung cancerNodal metastasisRabbits

Identifiers

PMID31884965
PMCPMC6936139

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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.