Evidence map›Paper›PMID 20364399›Full record

ArticleClinical & experimental metastasis2010

A sensitive polymerase chain reaction-based method for detection and quantification of metastasis in human xenograft mouse models.

Anastasia Malek, Carlo V Catapano, Frank Czubayko, Achim Aigner

Abstract read
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In one paragraph

Article in Clinical & experimental metastasis, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 29 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

4 authors at 2 institutions in 2 countries.

Anastasia MalekLaboratory of Experimental Oncology, Oncology Institute of Southern Switzerland, Bellinzona, Switzerland. anastasia.malek@irb.unisi.ch
Carlo V Catapano
Frank Czubayko
Achim Aigner
Institute of Oncology Research · CHPhilipps University of Marburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor cell dissemination to distant organs accounts for the majority of cancer related deaths. Analysis of the stepwise process of metastasis formation and progression might provide novel therapeutic strategies for the treatment of disseminated cancer. However, studies with both biological and therapeutic endpoints would require highly sensitive and specific methods for precise quantification of the metastatic tumor burden in vivo. We have developed a quantitative real-time PCR-based assay for the detection and quantification of human tumor cells disseminated in mouse organs. The method relies on the parallel amplification of unique, species-specific, conserved and non-transcribed sequences in the mouse and human genomes. We tested the method in xenograft models to assess the metastatic potential of various cancer cell lines, the impact of injection modality and cell type on organ distribution, and the early stages of metastasis implantation and progression. With this method, we observed clear quantitative differences among colon cancer cell lines in terms of metastasis formation in the lung, consistent with the different in vitro growth properties. The mode of cell implantation and cell intrinsic properties strongly affected the metastatic pattern of prostate and breast cancer cell lines in mouse organs. The qPCR assay accurately determined the malignant cell burden even at early stages of metastasis progression in the lung. We describe a very sensitive assay for the highly reproducible detection and accurate quantification of human metastatic cells in mouse tissues and demonstrate its broad applicability to various experimental settings.

Indexed as

Disease Models, AnimalAnimalsCell MovementCell ProliferationColonic NeoplasmsDisease ProgressionDNA, NeoplasmFemaleHumansLung NeoplasmsMaleMelanomaMiceNeoplasm TransplantationReverse Transcriptase Polymerase Chain ReactionSensitivity and SpecificityDNA, Neoplasm

Identifiers

PMID20364399
OpenAlexW2026347756

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.