Evidence map›Paper›PMID 33572595›Full record

ReviewInternational journal of molecular sciences2021

Current Achievements and Applications of Transcriptomics in Personalized Cancer Medicine.

Stanislaw Supplitt, Pawel Karpinski, Maria Sasiadek, Izabela Laczmanska

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 1 pooled it
–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

85 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Observational
  8. Article
  9. In Silico Analysis of Squamous Cell Carcinoma.Advances in experimental medicine and biology · 2026
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Review
  17. mRNA Isoforms and Variants in Health and Disease.International journal of molecular sciences · 2025
    Review
  18. Artificial Intelligence-Driven Multi-Omics Approaches in Glioblastoma.International journal of molecular sciences · 2025
    Review
  19. Article
  20. Article

25 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

4 authors.

Stanislaw SupplittDepartment of Genetics, Wroclaw Medical University, Marcinkowskiego 1, 50-368 Wroclaw, Poland.ORCID 0000-0002-5619-6087
Pawel KarpinskiDepartment of Genetics, Wroclaw Medical University, Marcinkowskiego 1, 50-368 Wroclaw, Poland.ORCID 0000-0003-3885-694X
Maria SasiadekDepartment of Genetics, Wroclaw Medical University, Marcinkowskiego 1, 50-368 Wroclaw, Poland.
Izabela LaczmanskaDepartment of Genetics, Wroclaw Medical University, Marcinkowskiego 1, 50-368 Wroclaw, Poland.

Funding

Uniwersytet Medyczny im. Piastów Slaskich we Wroclawiu SUB.A.290.19.020
6 · The paper itself

Abstract

Over the last decades, transcriptome profiling emerged as one of the most powerful approaches in oncology, providing prognostic and predictive utility for cancer management. The development of novel technologies, such as revolutionary next-generation sequencing, enables the identification of cancer biomarkers, gene signatures, and their aberrant expression affecting oncogenesis, as well as the discovery of molecular targets for anticancer therapies. Transcriptomics contribute to a change in the holistic understanding of cancer, from histopathological and organic to molecular classifications, opening a more personalized perspective for tumor diagnostics and therapy. The further advancement on transcriptome profiling may allow standardization and cost reduction of its analysis, which will be the next step for transcriptomics to become a canon of contemporary cancer medicine.

Indexed as

Precision MedicineTranscriptomeBiomarkers, TumorGene Expression ProfilingHumansMedical OncologyNeoplasmsPrognosisBiomarkers, Tumorcanceroncogenesispersonalized medicineRNAtranscriptomics

Identifiers

PMID33572595
PMCPMC7866970

What OpenQuestion holds

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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.