Evidence map›Paper›PMID 35163329›Full record

ReviewInternational journal of molecular sciences2022

An Overview on Single-Cell Technology for Hepatocellular Carcinoma Diagnosis.

Sheik Aliya, Hoomin Lee, Munirah Alhammadi, Reddicherla Umapathi, Yun Suk Huh

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Single-cell Technology in Stem Cell Research.Current stem cell research & therapy · 2025
    Review
  6. Review
  7. Review
  8. Article
  9. Single-cell Technologies Provide Novel Insights into Liver Physiology and Pathology.Journal of clinical and translational hepatology · 2024
    Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
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

5 authors.

Sheik AliyaDepartment of Biological Sciences and Bioengineering, NanoBio High-Tech Materials Research Center, Inha University, Inha-ro 100, Incheon 22212, Korea.ORCID 0000-0001-5127-312X
Hoomin LeeDepartment of Biological Sciences and Bioengineering, NanoBio High-Tech Materials Research Center, Inha University, Inha-ro 100, Incheon 22212, Korea.ORCID 0000-0002-9404-3188
Munirah AlhammadiDepartment of Biological Sciences and Bioengineering, NanoBio High-Tech Materials Research Center, Inha University, Inha-ro 100, Incheon 22212, Korea.ORCID 0000-0003-2788-4320
Reddicherla UmapathiDepartment of Biological Sciences and Bioengineering, NanoBio High-Tech Materials Research Center, Inha University, Inha-ro 100, Incheon 22212, Korea.ORCID 0000-0001-8071-5345
Yun Suk HuhDepartment of Biological Sciences and Bioengineering, NanoBio High-Tech Materials Research Center, Inha University, Inha-ro 100, Incheon 22212, Korea.ORCID 0000-0003-1612-4473

Funding

National Research Foundation of Korea 2020R1A4A3079710
6 · The paper itself

Abstract

Hepatocellular carcinoma is a primary liver cancer caused by the accumulation of genetic mutation patterns associated with epidemiological conditions. This lethal malignancy exhibits tumor heterogeneity, which is considered as one of the main reasons for drug resistance development and failure of clinical trials. Recently, single-cell technology (SCT), a new advanced sequencing technique that analyzes every single cell in a tumor tissue specimen, aids complete insight into the genetic heterogeneity of cancer. This helps in identifying and assessing rare cell populations by analyzing the difference in gene expression pattern between individual cells of single biopsy tissue which normally cannot be identified from pooled cell gene expression pattern (traditional sequencing technique). Thus, SCT improves the clinical diagnosis, treatment, and prognosis of hepatocellular carcinoma as the limitations of other techniques impede this cancer research progression. Application of SCT at the genomic, transcriptomic, and epigenomic levels to promote individualized hepatocellular carcinoma diagnosis and therapy. The current review has been divided into ten sections. Herein we deliberated on the SCT, hepatocellular carcinoma diagnosis, tumor microenvironment analysis, single-cell genomic sequencing, single-cell transcriptomics, single-cell omics sequencing for biomarker development, identification of hepatocellular carcinoma origination and evolution, limitations, challenges, conclusions, and future perspectives.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsGenomicsHumansSingle-Cell AnalysisTechnologyTumor Microenvironmenthepatocellular carcinomaliver cancerRNA sequencingsingle-cell technology

Identifiers

PMID35163329
PMCPMC8835749

What OpenQuestion holds

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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.