Evidence map›Paper›PMID 34807338›Full record

ReviewClinical & experimental metastasis2022

Bringing precision oncology to cellular resolution with single-cell genomics.

Yuntao Xia, Charles Gawad

Open access · greenAbstract readReview
In one paragraph

Review in Clinical & experimental metastasis, 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
0.1field-weighted citation impact, top 54% 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, 1 citations in OpenAlex.

  1. Introduction: Novel Frontiers in Cancer Metastasis.Clinical & experimental metastasis · 2022
    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

2 authors at 2 institutions in 1 country.

Yuntao XiaDepartment of Pediatrics, Division of Hematology/Oncology, Stanford University, Stanford, USA.
Charles GawadDepartment of Pediatrics, Division of Hematology/Oncology, Stanford University, Stanford, USA. cgawad@stanford.edu.ORCID 0000-0002-4728-8203
Stanford Medicine · USStanford University · US

Funding

Creating a Catalog of Cancer Clonotype Drug Sensitivities with Single-CellGenome SequencingDP2CA239145 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI GAWAD, CHARLES · 2018 to 2018
$2.3M
NCI NIH HHS DP2 CA239145
6 · The paper itself

Abstract

Single-cell sequencing technologies have undergone rapid development and adoption by the scientific community in the past 5 years, fueling discoveries about the etiology, pathogenesis, and treatment responsiveness of individual tumor cells within cancer ecosystems. Most of the advancements in our understanding of cancer with these new technologies have focused on basic tumor biology. However, the knowledge produced by these and other studies are beginning to provide biomarkers and drug targets for clinically-relevant subpopulations within a tumor, creating opportunities for the development of biologically-informed, clone-specific combination treatment strategies. Here we provide an overview of the development of the field of single-cell cancer sequencing and provide a roadmap for shepherding these technologies from research tools to diagnostic instruments that provide high-resolution, treatment-directing details of tumors to clinical oncologists.

Indexed as

NeoplasmsEcosystemGenomicsHigh-Throughput Nucleotide SequencingHumansPrecision MedicinePrecision oncologySingle cell genomics

Identifiers

PMID34807338
PMCPMC8969191
OpenAlexW3216835993

What OpenQuestion holds

Textmetadata
LicenceTDM
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.