Evidence map›Paper›PMID 30655732›Full record

ReviewOncology letters2019

Patient-derived xenograft mouse models: A high fidelity tool for individualized medicine.

Cong Xu, Xuelu Li, Pixu Liu, Man Li, Fuwen Luo

Open access · diamondAbstract readReview
In one paragraph

Review in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 5% 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

62 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.

  1. Glioblastoma research on zebrafish xenograft models: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Pooled it
  2. Article
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  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Murine Models of Obesity-Related Cancer Risk.Cancer prevention research (Philadelphia, Pa.) · 2025
    Review
  10. Article
  11. Review
  12. Review
  13. Antibody-Nanoparticle Conjugates in Therapy: Combining the Best of Two Worlds.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  14. Article
  15. Article
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2 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

5 authors at 2 institutions in 1 country.

Cong XuDepartment of Acute Abdomen Surgery, The Second Hospital of Dalian Medical University, Dalian, Liaoning 116023, P.R. China.
Xuelu LiDepartment of Breast Surgery and Oncology, The Second Hospital of Dalian Medical University, Dalian, Liaoning 116023, P.R. China.
Pixu LiuInstitute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning 116044, P.R. China.
Man LiDepartment of Breast Surgery and Oncology, The Second Hospital of Dalian Medical University, Dalian, Liaoning 116023, P.R. China.
Fuwen LuoDepartment of Acute Abdomen Surgery, The Second Hospital of Dalian Medical University, Dalian, Liaoning 116023, P.R. China.
Second Affiliated Hospital of Dalian Medical University · CNDalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient-derived xenograft (PDX) mouse models involve the direct transfer of fresh human tumor samples into immunodeficient mice following surgical resection or other medical operations. Gene expression in tumors may be maintained by serial passages of tumors from mouse to mouse. These models aid research into tumor biology and pharmacology without manual manipulation of cell cultures

Indexed as

cell line-derived xenograftsgenetically engineered mouse modelsindividualized cancer therapypatient-derived xenograft mouse models

Identifiers

PMID30655732
PMCPMC6313209
OpenAlexW2896602650

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.