Evidence map›Paper›PMID 34978697›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

In Vivo Tumorigenicity Assays Using Subcutaneous and Orthotopic Xenografts in Immunodeficient Mice.

Kedar Yogi, Rahul Thorat, Neelam Shirsat

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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
2.1field-weighted citation impact, top 17% 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, 4 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

3 authors at 2 institutions in 1 country.

Kedar YogiCellcys Labs Pvt Ltd, Mumbai, India. kedar2407@gmail.com.
Rahul ThoratLaboratory Animal Facility, Advanced Center for Treatment Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, India.
Neelam ShirsatShirsat Laboratory, Advanced Center for Treatment Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai, India.
Homi Bhabha National Institute · INTata Memorial Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluation of tumorigenic potential of medulloblastoma cell lines in vivo has been the obvious and major next step following cell line driven research for last many years. Effect of changes in expression of gene/s or efficacy of anticancer drugs on tumor initiation and/or growth can be easily assessed by injecting genetically modified cell lines in vivo or by treating in vivo xenografts of established cell lines with newer inhibitors or anticancer drugs. These studies are easy to perform and to reproduce in comparison to patient derived xenografts owing to ease in propagating, maintaining, and modifying genetic makeup of cell lines. Here we describe standardized protocols of obtaining either subcutaneous or orthotopic xenografts of medulloblastoma cell lines in immunodeficient mice. Once established, tumor growth of xenografts can be assessed during the course of experiment by either employing a simple method using Vernier caliper or technically demanding but sensitive method like in vivo bioluminescence imaging. In addition, xenograft tumors of euthanized animals can be preserved as formalin-fixed tissue specimens for further histopathological, immunohistochemical, or molecular analysis.

Indexed as

Cerebellar NeoplasmsMedulloblastomaAnimalsCell Line, TumorHeterograftsHumansMiceTransplantation, HeterologousXenograft Model Antitumor AssaysMedulloblastomaOrthotopicStereotaxisSubcutaneousTumorigenicityXenografts

Identifiers

PMID34978697
OpenAlexW4206585706

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.