Evidence map›Paper›PMID 28262832›Full record

ArticleScientific reports2017

Data-Driven Discovery of Extravasation Pathway in Circulating Tumor Cells.

S Yadavalli, S Jayaram, S S Manda, A K Madugundu, D S Nayakanti, T Z Tan, R Bhat, A Rangarajan, A Chatterjee, H Gowda and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  12. Pre-clinical Models of Metastasis in Pancreatic Cancer.Frontiers in cell and developmental biology · 2021
    Review
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  14. EMT signaling: potential contribution of CRISPR/Cas gene editing.Cellular and molecular life sciences : CMLS · 2020
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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

12 authors.

S YadavalliInstitute of Bioinformatics, International Technology Park, Whitefield, Bangalore, 560 066, India.
S JayaramInstitute of Bioinformatics, International Technology Park, Whitefield, Bangalore, 560 066, India.
S S MandaInstitute of Bioinformatics, International Technology Park, Whitefield, Bangalore, 560 066, India.
A K MadugunduInstitute of Bioinformatics, International Technology Park, Whitefield, Bangalore, 560 066, India.
D S NayakantiInstitute of Bioinformatics, International Technology Park, Whitefield, Bangalore, 560 066, India.
T Z TanCancer Science Institute of Singapore, National University of Singapore, Centre for Translational Medicine NUS Yong Loo Lin School of Medicine, Singapore 117599, Singapore.
R BhatDepartment of Molecular Reproduction, Development and Genetics, Indian Institute of Science, Bangalore, 560012, India.
A RangarajanDepartment of Molecular Reproduction, Development and Genetics, Indian Institute of Science, Bangalore, 560012, India.
A ChatterjeeInstitute of Bioinformatics, International Technology Park, Whitefield, Bangalore, 560 066, India.
H GowdaInstitute of Bioinformatics, International Technology Park, Whitefield, Bangalore, 560 066, India.
J P ThieryCancer Science Institute of Singapore, National University of Singapore, Centre for Translational Medicine NUS Yong Loo Lin School of Medicine, Singapore 117599, Singapore.
P KumarInstitute of Bioinformatics, International Technology Park, Whitefield, Bangalore, 560 066, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumor cells (CTCs) play a crucial role in cancer dissemination and provide a promising source of blood-based markers. Understanding the spectrum of transcriptional profiles of CTCs and their corresponding regulatory mechanisms will allow for a more robust analysis of CTC phenotypes. The current challenge in CTC research is the acquisition of useful clinical information from the multitude of high-throughput studies. To gain a deeper understanding of CTC heterogeneity and identify genes, pathways and processes that are consistently affected across tumors, we mined the literature for gene expression profiles in CTCs. Through in silico analysis and the integration of CTC-specific genes, we found highly significant biological mechanisms and regulatory processes acting in CTCs across various cancers, with a particular enrichment of the leukocyte extravasation pathway. This pathway appears to play a pivotal role in the migration of CTCs to distant metastatic sites. We find that CTCs from multiple cancers express both epithelial and mesenchymal markers in varying amounts, which is suggestive of dynamic and hybrid states along the epithelial-mesenchymal transition (EMT) spectrum. Targeting the specific molecular nodes to monitor disease and therapeutic control of CTCs in real time will likely improve the clinical management of cancer progression and metastases.

Indexed as

Gene Expression Regulation, NeoplasticSignal TransductionBiomarkers, TumorCell Line, TumorComputational BiologyDatabases, GeneticData MiningEpithelial-Mesenchymal TransitionGene Expression ProfilingHumansLeukocytesMolecular Sequence AnnotationNeoplasmsNeoplastic Cells, CirculatingTranscriptomeBiomarkers, Tumor

Identifiers

PMID28262832
PMCPMC5337960

What OpenQuestion holds

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Registered trials

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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.