Evidence map›Paper›PMID 32986888›Full record

ReviewCancer science2021

Current status and future outlook for patient-derived cancer models from a rare cancer research perspective.

Tadashi Kondo

Open access · goldAbstract readReview
In one paragraph

Review in Cancer science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.9field-weighted citation impact, top 11% of its field
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

21 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Ethical considerations for nurses working in rare cancer care: Focus on sarcoma.Canadian oncology nursing journal = Revue canadienne de nursing oncologique · 2024
    Article
  13. Review
  14. Article
  15. Immunotherapies in rare cancers.Molecular cancer · 2023
    Review
  16. Review
  17. Article
  18. The CAM Model forCells · 2021
    Article
  19. Article
  20. 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

1 author at 1 institution in 1 country.

Tadashi KondoDivision of Rare Cancer Research, National Cancer Center Research Institute, Chuo-ku, Japan.ORCID https://orcid.org/0000-0001-6405-7792
National Cancer Research Institute · GB

Funding

Japan Agency for Medical Research and Development 20ck0106537h0001Research and Development
6 · The paper itself

Abstract

Rare cancers are a group of approximately 200 malignancies with extremely low incidences and with a wide variety of genotypes and phenotypes. Collectively, they are more common than any single malignancy. However, given the small numbers of individuals diagnosed with rare cancers, it is difficult to design clinical trials with sufficient patient numbers. Therefore, few effective anticancer drugs have been developed, and evidence-based medicine is not always feasible for rare cancers. Consequently, their clinical outcomes are generally poorer. Cancer research requires adequate models that faithfully recapitulate molecular features and reproduce treatment responses of the original tumors. Such models allow us to focus on more efficacious drugs in the clinical studies. For rare cancers, patient-derived cancer models are particularly important because the enrollment of sufficient patients is rarely attainable within a reasonable period of time. However, extremely few models are available for rare cancers. For example, cell lines and xenografts are available for only a limited number of histological subtypes of sarcomas; therefore, most sarcoma research is performed without such models, and a lack of adequate cancer models causes a lag in therapeutic development. The establishment of novel rare cancer models will dramatically facilitate rare cancer research and treatment development in the near future. This review focuses on the status of patient-derived rare cancer models and discusses their pivotal problems and possibilities, using sarcomas as a representative rare cancer type. Multi-institutional collaboration will help address the scarcity of patient-derived rare cancer models.

Indexed as

AnimalsAntineoplastic AgentsCell Line, TumorHumansMiceNeoplasmsRare DiseasesXenograft Model Antitumor AssaysAntineoplastic Agentsgenomicspatient-derived cancer modelprecision medicinepredictive biomarkerrare cancer

Identifiers

PMID32986888
PMCPMC7935796
OpenAlexW3091026081

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.