Evidence map›Paper›PMID 26430160›Full record

ArticleGenome research2015

The first five years of single-cell cancer genomics and beyond.

Nicholas E Navin

Abstract read
In one paragraph

Article in Genome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 217 papers.

0numbers the graph read from it
0cells of the map it votes in
217citing 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

217 citing papers in PubMed.

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  18. Single-cell transcriptome analysis of the mouse lungs during the injury and recovery periods after lipopolysaccharide administration.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2024
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157 more citing papers are in PubMed but not listed here.

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

1 author.

Nicholas E NavinDepartment of Genetics, University of Texas, MD Anderson Cancer Center, Houston, Texas 77030, USA; Department of Bioinformatics and Computational Biology, University of Texas, MD Anderson Cancer Center, Houston, Texas 77030, USA; Graduate Program in Genes and Development, Graduate School of Biomedical Sciences, University of Texas Health Science Center at Houston, Houston, Texas 77030, USA.

Funding

Single-Cell Sequencing of Breast Tumors to Investigate Genome EvolutionR01CA169244 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI NAVIN, NICHOLAS · 2012 to 2016
$1.6M
NCI NIH HHS 1R01CA169244-01NCI NIH HHS R01 CA169244
6 · The paper itself

Abstract

Single-cell sequencing (SCS) is a powerful new tool for investigating evolution and diversity in cancer and understanding the role of rare cells in tumor progression. These methods have begun to unravel key questions in cancer biology that have been difficult to address with bulk tumor measurements. Over the past five years, there has been extraordinary progress in technological developments and research applications, but these efforts represent only the tip of the iceberg. In the coming years, SCS will greatly improve our understanding of invasion, metastasis, and therapy resistance during cancer progression. These tools will also have direct translational applications in the clinic, in areas such as early detection, noninvasive monitoring, and guiding targeted therapy. In this perspective, I discuss the progress that has been made and the myriad of unexplored applications that still lie ahead in cancer research and medicine.

Indexed as

Cytological TechniquesGenomicsAnimalsGenetic ResearchHumansNeoplasms

Identifiers

PMID26430160
PMCPMC4579335

What OpenQuestion holds

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LicenceCC BY-NC
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.