Evidence map›Paper›PMID 33983580›Full record

ArticleAdvances in experimental medicine and biology2021

Single Cell Genomics for Tumor Heterogeneity.

Hae-Ock Lee, Woong-Yang Park

Abstract read
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In one paragraph

Article in Advances in experimental medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hae-Ock LeeDepartment of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. haeocklee@catholic.ac.kr.
Woong-Yang ParkSamsung Medical Center, Samsung Genome Institute, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single cell genomics became a universal and powerful tool to study cellular diversity at genomic levels in normal and disease conditions. Cancer is a disease of genomic instability which instigates clonal evolution and intra-tumoral heterogeneity. Cancer progression also accompanies gross alterations in the microenvironment, and the stromal or immune cell types comprising the tumor microenvironment can be explored by single cell genomics. So far, breast cancer has been analyzed by single cell genomic tools for the clonal evolution, inter- and intra-tumoral heterogeneity in molecular signatures, and tumor microenvironment. We will briefly go over those studies and discuss the potential application of single cell genomics for the diagnostics and management of cancer.

Indexed as

Breast NeoplasmsGenomicsClonal EvolutionGenetic HeterogeneityGenomic InstabilityHumansTumor MicroenvironmentBreast cancerSingle cell genomicsTreatment resistanceTumor evolutionTumor heterogeneity

Identifiers

PMID33983580

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.