Evidence map›Paper›PMID 39359479›Full record

ReviewFrontiers in genetics2024

Recent progress and applications of single-cell sequencing technology in breast cancer.

Yousef M Hawsawi, Basmah Khoja, Abdullah Omar Aljaylani, Raniah Jaha, Rasha Mohammed AlDerbi, Huda Alnuman, Mohammed I Khan

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
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  6. Article
  7. Review
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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

7 authors.

Yousef M HawsawiResearch Center, King Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia.
Basmah KhojaResearch Center, King Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia.
Abdullah Omar AljaylaniResearch Center, King Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia.
Raniah JahaResearch Center, King Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia.
Rasha Mohammed AlDerbiResearch Center, King Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia.
Huda AlnumanResearch Center, King Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia.
Mohammed I KhanResearch Center, King Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing (scRNA-seq) technology enables the precise analysis of individual cell transcripts with high sensitivity and throughput. When integrated with multiomics technologies, scRNA-seq significantly enhances the understanding of cellular diversity, particularly within the tumor microenvironment. Similarly, single-cell DNA sequencing has emerged as a powerful tool in cancer research, offering unparalleled insights into the genetic heterogeneity and evolution of tumors. In the context of breast cancer, this technology holds substantial promise for decoding the intricate genomic landscape that drives disease progression, treatment resistance, and metastasis. By unraveling the complexities of tumor biology at a granular level, single-cell DNA sequencing provides a pathway to advancing our comprehension of breast cancer and improving patient outcomes through personalized therapeutic interventions. As single-cell sequencing technology continues to evolve and integrate into clinical practice, its application is poised to revolutionize the diagnosis, prognosis, and treatment strategies for breast cancer. This review explores the potential of single-cell sequencing technology to deepen our understanding of breast cancer, highlighting key approaches, recent advancements, and the role of the tumor microenvironment in disease plasticity. Additionally, the review discusses the impact of single-cell sequencing in paving the way for the development of personalized therapies.

Indexed as

breast cancermicroenvironmentpersonalized therapysingle-cell sequencingtumor heterogeneity

Identifiers

PMID39359479
PMCPMC11445024

What Socratic 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 Socratic graph.