Evidence map›Paper›PMID 35549970›Full record

ReviewJournal of hematology & oncology2022

Single-cell sequencing: a promising approach for uncovering the mechanisms of tumor metastasis.

Yingying Han, Dan Wang, Lushan Peng, Tao Huang, Xiaoyun He, Junpu Wang, Chunlin Ou

Open access · goldAbstract readReview
In one paragraph

Review in Journal of hematology & oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
8.4field-weighted citation impact, top 1% 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

65 citing papers in PubMed, 89 citations in OpenAlex.

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5 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

7 authors at 1 institution in 2 countries.

Yingying HanDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Dan WangDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Lushan PengDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Tao HuangDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Xiaoyun HeDepartments of Ultrasound Imaging, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Junpu Wang *Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. wang-jp2013@csu.edu.cn.
Chunlin Ou *Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. ouchunlin@csu.edu.cn.ORCID 0000-0003-2313-4186
Central South University · CN

Funding

China Postdoctoral Science Foundation 2020M672520Hunan Provincial Natural Science Foundation of China 2021JJ31100Hunan Provincial Natural Science Foundation of China 2021JJ41013National Natural Science Foundation of China 81602167National Natural Science Foundation of China 81903032Science and Technology Program Foundation of Changsha City kq2004085Youth Fund of Xiangya Hospital 2018Q011
6 · The paper itself

Abstract

Single-cell sequencing (SCS) is an emerging high-throughput technology that can be used to study the genomics, transcriptomics, and epigenetics at a single cell level. SCS is widely used in the diagnosis and treatment of various diseases, including cancer. Over the years, SCS has gradually become an effective clinical tool for the exploration of tumor metastasis mechanisms and the development of treatment strategies. Currently, SCS can be used not only to analyze metastasis-related malignant biological characteristics, such as tumor heterogeneity, drug resistance, and microenvironment, but also to construct metastasis-related cell maps for predicting and monitoring the dynamics of metastasis. SCS is also used to identify therapeutic targets related to metastasis as it provides insights into the distribution of tumor cell subsets and gene expression differences between primary and metastatic tumors. Additionally, SCS techniques in combination with artificial intelligence (AI) are used in liquid biopsy to identify circulating tumor cells (CTCs), thereby providing a novel strategy for treating tumor metastasis. In this review, we summarize the potential applications of SCS in the field of tumor metastasis and discuss the prospects and limitations of SCS to provide a theoretical basis for finding therapeutic targets and mechanisms of metastasis.

Indexed as

Neoplastic Cells, CirculatingSingle-Cell AnalysisArtificial IntelligenceGenomicsHumansLiquid BiopsyNeoplasm MetastasisTumor MicroenvironmentArtificial intelligenceSingle-cell sequencingTargeted therapyTumor heterogeneityTumor markerTumor metastasisTumor microenvironment

Identifiers

PMID35549970
PMCPMC9096771
OpenAlexW4280526210

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.