Evidence map›Paper›PMID 35474615›Full record

ArticleClinical and translational medicine2022

Forward single-cell sequencing into clinical application: Understanding of cancer microenvironment at single-cell solution.

Xuanqi Liu, Charles A Powell, Xiangdong Wang

Open access · goldAbstract readEditorial
In one paragraph

Article in Clinical and translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 14 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

3 authors at 2 institutions in 2 countries.

Xuanqi LiuDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University Shanghai Medical College, Shanghai Institute of Clinical Bioinformatics; Shanghai Engineering Research for AI Technology for Cardiopulmonary Diseases, Shanghai, China.ORCID 0000-0003-4275-9712
Charles A PowellDivision of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.ORCID 0000-0002-8406-7928
Xiangdong WangDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University Shanghai Medical College, Shanghai Institute of Clinical Bioinformatics; Shanghai Engineering Research for AI Technology for Cardiopulmonary Diseases, Shanghai, China.
Shanghai Medical College of Fudan University · CNIcahn School of Medicine at Mount Sinai · US

Funding

Endothelial cell-derived MMP14 in lung alveolar regeneration and fibrosisR01HL130826 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI POWELL, CHARLES A. · 2016 to 2020
$2.4M
NHLBI NIH HHS R01 HL130826
6 · The paper itself

Abstract

Single-cell RNA sequencing (scRNA-seq) is considered an important approach to understand the molecular mechanisms of cancer microenvironmental functions and has the potential for clinical and translational discovery and development. The recent concerns on the impact of scRNA-seq for clinical practice are whether scRNA can be applied as a routine measurement of clinical biochemistry to assist in clinical decision-making for diagnosis and therapy. Pushing single-cell sequencing into clinical application is one of the important missions for clinical and translational medicine (CTM), although there still are a large number of challenges to be overcome. The present Editorial as one of serials aims at overviewing the history of scRNA-seq publications in CTM, sharing the understanding and consideration of the cancer microenvironment at the single-cell solution and emphasising the objective of translating scRNA-seq into clinical application. The dynamic characteristics and patterns of single-cell identity, regulatory networks, and intercellular communication play decisive roles in the properties of the microenvironment, malignancy and migrative capacity of cancer cells, and defensive capacity of immune cells. The microenvironmental single-cell transcriptomic profiles and cell clusters defined by scRNA-seq have great value for exploring the molecular mechanisms of diseases and predicting cell sensitivities to therapy and patient prognosis.

Indexed as

NeoplasmsRNA, Small CytoplasmicHumansSequence Analysis, RNASingle-Cell AnalysisTranscriptomeTumor MicroenvironmentRNA, Small Cytoplasmic

Identifiers

PMID35474615
PMCPMC9042796
OpenAlexW4225259252

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.