Evidence map›Paper›PMID 21987811›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2011

Cross-species hybridization of microarrays for studying tumor transcriptome of brain metastasis.

Eun Sung Park, Sun Jin Kim, Seung Wook Kim, Se-Lyun Yoon, Sun-Hee Leem, Sang-Bae Kim, Soo Mi Kim, Yun-Yong Park, Jae-Ho Cheong, Hyun Goo Woo and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 1 pooled it
4.1field-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

83 citing papers in PubMed, 1 synthesis or guideline pooled it, 130 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Somatostatin and Somatostatin Receptors in Tumour Biology.International journal of molecular sciences · 2023
    Review
  10. Review
  11. Article
  12. Review
  13. Brain metastasis in breast cancer: focus on genes and signaling pathways involved, blood-brain barrier and treatment strategies.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Review
  14. Article
  15. Article
  16. An HLA-G/SPAG9/STAT3 axis promotes brain metastases.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Review

23 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

13 authors at 4 institutions in 2 countries.

Eun Sung ParkDepartment of Systems Biology, University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA.
Sun Jin Kim
Seung Wook Kim
Se-Lyun Yoon
Sun-Hee Leem
Sang-Bae Kim
Soo Mi Kim
Yun-Yong Park
Jae-Ho Cheong
Hyun Goo Woo
Gordon B Mills
Isaiah J Fidler
Ju-Seog Lee
The University of Texas MD Anderson Cancer Center · USDong-A University · KRJeonbuk National University · KRAjou University · KR

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Targeting the PI3K Signaling Pathway in Endometrial CarcinomaP50CA098258 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BODURKA, DIANE · 2003 to 2020
$32.0M
Targeting Tumor Microenvironment-Induced Therapy Resistance in Prostate Cancer Bone MetastasisP50CA140388 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LOGOTHETIS, CHRISTOPHER J., THOMPSON, TIMOTHY CHARLES · 2009 to 2022
$23.4M
Tyrosine Kinase-Dependant and - Independent Pathways of EGFR in Breast Cancer ProP01CA099031 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HUNG, MIEN-CHIE · 2003 to 2014
$11.6M
Intramural NIH HHSNCI NIH HHS 1U54CA143834-01NCI NIH HHS 5P50CA140388-02(PP-CDP2)NCI NIH HHS CA016672NCI NIH HHS CA99031NCI NIH HHS P01 CA099031NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA098258NCI NIH HHS P50 CA140388NCI NIH HHS PC073184
6 · The paper itself

Abstract

Although the importance of the cellular microenvironment (soil) during invasion and metastasis of cancer cells (seed) has been well-recognized, technical challenges have limited the ability to assess the influence of the microenvironment on cancer cells at the molecular level. Here, we show that an experimental strategy, competitive cross-species hybridization of microarray experiments, can characterize the influence of different microenvironments on cancer cells by independently extracting gene expression data of cancer and host cells when human cancer cells were xenografted into different organ sites of immunocompromised mice. Surprisingly, the analysis of gene expression data showed that the brain microenvironment induces complete reprogramming of metastasized cancer cells, resulting in a gain of neuronal cell characteristics and mimicking neurogenesis during development. We also show that epigenetic changes coincide with transcriptional reprogramming in cancer cells. These observations provide proof of principle for competitive cross-species hybridization of microarray experiments to characterize the effect of the microenvironment on tumor cell behavior.

Indexed as

AnimalsAstrocytesBase SequenceBrain NeoplasmsCell Line, TumorCoculture TechniquesDNA MethylationDNA, NeoplasmDNA PrimersEpigenesis, GeneticHumansMaleMiceMice, Inbred BALB CMice, NudeNeoplasm TransplantationDNA, NeoplasmDNA Primers

Identifiers

PMID21987811
PMCPMC3198333
OpenAlexW2137672944

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.