Evidence map›Paper›PMID 39199633›Full record

ReviewCancers2024

Advances in Personalized Oncology.

Hiba Mechahougui, James Gutmans, Gina Colarusso, Roumaïssa Gouasmi, Alex Friedlaender

Abstract readReview
In one paragraph

Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Computationally reconstructing the evolution of cancer progression risk.bioRxiv : the preprint server for biology · 2024
    Article
  11. Article
  12. 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.

Hiba MechahouguiOncology Department, Geneva University Hospital (HUG), 1205 Geneva, Switzerland.ORCID 0009-0005-9784-0333
James GutmansOncology Department, Geneva University Hospital (HUG), 1205 Geneva, Switzerland.
Gina ColarussoOncology Department, Geneva University Hospital (HUG), 1205 Geneva, Switzerland.ORCID 0009-0009-5288-7911
Roumaïssa GouasmiCancer Research Center of Lyon, CNRS UMR5286, Inserm U1052, University of Lyon, 69100 Lyon, France.
Alex FriedlaenderClinique Générale Beaulieu, 1206 Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in next-generation sequencing (NGS) have catalyzed a paradigm shift in cancer treatment, steering the focus from conventional, organ-specific protocols to precision medicine. Emerging targeted therapies offer a cutting-edge approach to cancer treatment, while companion diagnostics play an essential role in aligning therapeutic choices with specific molecular changes identified through NGS. Despite these advances, interpreting the clinical implications of a rapidly expanding catalog of genetic mutations remains a challenge. The selection of therapies in the presence of multiple mutations requires careful clinical judgment, supported by quality-centric genomic testing that emphasizes actionable mutations. Molecular tumor boards can play an increasing role in assimilating genomic data into clinical trials, thereby refining personalized treatment approaches and improving patient outcomes.

Indexed as

driver mutationsoncogenic alterationsoncogenic driverspersonalized medicineprecision medicineprecision oncology

Identifiers

PMID39199633
PMCPMC11352922

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.