Evidence map›Paper›PMID 31236333›Full record

ReviewTranslational andrology and urology2019

Patient-derived xenograft models to optimize kidney cancer therapies.

Avi Patel, Sarah Cohen, Ravan Moret, Grace Maresh, Glenda C Gobe, Li Li

Abstract readReview
In one paragraph

Review in Translational andrology and urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Asian journal of pharmaceutical sciences · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
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  14. Article
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

6 authors.

Avi PatelUQ-Ochsner Clinical School, Institute for Translational Research, Ochsner Clinic Foundation, New Orleans, LA, USA.
Sarah CohenUQ-Ochsner Clinical School, Institute for Translational Research, Ochsner Clinic Foundation, New Orleans, LA, USA.
Ravan MoretUQ-Ochsner Clinical School, Institute for Translational Research, Ochsner Clinic Foundation, New Orleans, LA, USA.
Grace MareshUQ-Ochsner Clinical School, Institute for Translational Research, Ochsner Clinic Foundation, New Orleans, LA, USA.
Glenda C GobeUQ NHMRC CKD.QLD CRE, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia.
Li LiUQ-Ochsner Clinical School, Institute for Translational Research, Ochsner Clinic Foundation, New Orleans, LA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal cell carcinoma (RCC) is the most common solid neoplasm of the adult kidney and has a high potential for developing metastatic spread. Approximately 25-30% of RCC patients have metastatic disease at presentation, and 30-40% of patients develop metastases after the initial diagnosis. Advanced renal cancer is a deadly and difficult-to-treat cancer. The 5-year survival rate of patients with metastatic disease is less than 10%, partly because RCC metastases become resistant to current therapies. Pre-clinical models may help to identify the optimum therapeutic options for individual patients. Here we reviewed various mouse xenograft methods for RCC treatment screening especially patient-derived orthotopic xenograft models. Advantages and disadvantaged of some of the models are also discussed.

Indexed as

Orthotopicpatient-derived xenograft (PDX)renal cell carcinoma (RCC)

Identifiers

PMID31236333
PMCPMC6559930

What OpenQuestion holds

Textmetadata
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.