Evidence map›Paper›PMID 32331230›Full record

ArticleCancers2020

Establishment and Characterization of Humanized Mouse NPC-PDX Model for Testing Immunotherapy.

Wai Nam Liu, Shin Yie Fong, Wilson Wei Sheng Tan, Sue Yee Tan, Min Liu, Jia Ying Cheng, Sherlly Lim, Lisda Suteja, Edwin Kunxiang Huang, Jerry Kok Yen Chan and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

32 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Humanized immune system animal models and their recent applications.Animal models and experimental medicine · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Single-cell RNA sequencing reveals anti-tumor potency of CD56Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Article
  7. Article
  8. Fetal liver CD34Stem cell research & therapy · 2024
    Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Humanized mouse models for immuno-oncology research.Nature reviews. Clinical oncology · 2023
    Review
  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

14 authors at 4 institutions in 1 country.

Wai Nam LiuInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore 138673, Singapore.ORCID 0000-0002-4323-4566
Shin Yie FongInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore 138673, Singapore.
Wilson Wei Sheng TanInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore 138673, Singapore.ORCID 0000-0003-3027-1162
Sue Yee TanInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore 138673, Singapore.
Min LiuInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore 138673, Singapore.
Jia Ying ChengInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore 138673, Singapore.
Sherlly LimInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore 138673, Singapore.
Lisda SutejaDivision of Medical Oncology, National Cancer Centre, Singapore 169610, Singapore.
Edwin Kunxiang HuangDepartment of Reproductive Medicine, KK Women's and Children's Hospital, Singapore 229899, Singapore.
Jerry Kok Yen ChanDepartment of Reproductive Medicine, KK Women's and Children's Hospital, Singapore 229899, Singapore.
Narayanan Gopalakrishna IyerDivision of Medical Oncology, National Cancer Centre, Singapore 169610, Singapore.ORCID 0000-0002-8812-6219
Joe Poh Sheng YeongInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore 138673, Singapore.
Darren Wan-Teck LimInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore 138673, Singapore.ORCID 0000-0002-4655-0206
Qingfeng ChenInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore 138673, Singapore.
Agency for Science, Technology and Research · SGNational Cancer Centre Singapore · SGKK Women's and Children's Hospital · SGNational University of Singapore · SG

Funding

A*STAR IAF-PP H18/01/a0/022National Medical Research Council Singapore NMRC/TCR/015-NCC/2016National Medical Research Council Singapore, CS-IRG CIRG19may-0051National Research Foundation Singapore Fellowship NRF-NRFF2017-03NRF-ISF joint grant NRF2019-NRF-ISF003-3127Senior Clinician Scientist Award, CSA NMRC/CSASI16nov006VICTORY Programme NMRC/OFLCG/003/2018
6 · The paper itself

Abstract

Immune checkpoint blockade (ICB) monotherapy shows early promise for the treatment of nasopharyngeal carcinoma (NPC) in patients. Nevertheless, limited representative NPC models hamper preclinical studies to evaluate the efficacy of novel ICB and combination regimens. In the present study, we engrafted NPC biopsies in non-obese diabetic-severe combined immunodeficiency interleukin-2 receptor gamma chain-null (NSG) mice and established humanized mouse NPC-patient-derived xenograft (NPC-PDX) model successfully. Epstein-Barr virus was detected in the NPC in both NSG and humanized mice as revealed by Epstein-Barr virus-encoded small RNA (EBER) in situ hybridization (ISH) and immunohistochemical (IHC) staining. In the NPC-bearing humanized mice, the percentage of tumor-infiltrating CD8

Indexed as

humanized mouse modelimmune checkpoint blockadenasopharyngeal carcinomapatient-derived xenografts

Identifiers

PMID32331230
PMCPMC7225949
OpenAlexW3017961509

What OpenQuestion holds

Textmetadata
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.