Evidence map›Paper›PMID 21436589›Full record

ArticleThe Journal of clinical investigation2011

Upregulated stromal EGFR and vascular remodeling in mouse xenograft models of angiogenesis inhibitor-resistant human lung adenocarcinoma.

Tina Cascone, Matthew H Herynk, Li Xu, Zhiqiang Du, Humam Kadara, Monique B Nilsson, Carol J Oborn, Yun-Yong Park, Baruch Erez, Jörg J Jacoby and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 1 pooled it
8.0field-weighted citation impact, top 2% 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

85 citing papers in PubMed, 1 synthesis or guideline pooled it, 161 citations in OpenAlex.

  1. Pooled it
  2. Gefitinib Plus BevacizumabIn vivo (Athens, Greece)
    Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Exploring treatment options in cancer: Tumor treatment strategies.Signal transduction and targeted therapy · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. Molecular Mechanisms and Future Implications of VEGF/VEGFR in Cancer Therapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Towards Immunotherapy-Induced Normalization of the Tumor Microenvironment.Frontiers in cell and developmental biology · 2022
    Review

25 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 4 institutions in 2 countries.

Tina CasconeDepartment of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
Matthew H Herynk
Li Xu
Zhiqiang Du
Humam Kadara
Monique B Nilsson
Carol J Oborn
Yun-Yong Park
Baruch Erez
Jörg J Jacoby
Ju-Seog Lee
Heather Y Lin
Fortunato Ciardiello
Roy S Herbst
Robert R Langley
John V Heymach
The University of Texas MD Anderson Cancer Center · USCenter for Systems Biology · USThoracic Surgery Foundation · USUniversity of Campania "Luigi Vanvitelli" · IT

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GIBBONS, DON LYNN · 1996 to 2024
$57.4M
NCI NIH HHS P30 CA016672NCI NIH HHS P30CA016672NCI NIH HHS P50 CA070907
6 · The paper itself

Abstract

Angiogenesis is critical for tumor growth and metastasis, and several inhibitors of angiogenesis are currently in clinical use for the treatment of cancer. However, not all patients benefit from antiangiogenic therapy, and those tumors that initially respond to treatment ultimately become resistant. The mechanisms underlying this, and the relative contributions of tumor cells and stroma to resistance, are not completely understood. Here, using species-specific profiling of mouse xenograft models of human lung adenocarcinoma, we have shown that gene expression changes associated with acquired resistance to the VEGF inhibitor bevacizumab occurred predominantly in stromal and not tumor cells. In particular, components of the EGFR and FGFR pathways were upregulated in stroma, but not in tumor cells. Increased activated EGFR was detected on pericytes of xenografts that acquired resistance and on endothelium of tumors with relative primary resistance. Acquired resistance was associated with a pattern of pericyte-covered, normalized revascularization, whereas tortuous, uncovered vessels were observed in relative primary resistance. Importantly, dual targeting of the VEGF and EGFR pathways reduced pericyte coverage and increased progression-free survival. These findings demonstrated that alterations in tumor stromal pathways, including the EGFR and FGFR pathways, are associated with, and may contribute to, resistance to VEGF inhibitors and that targeting these pathways may improve therapeutic efficacy. Understanding stromal signaling may be critical for developing biomarkers for angiogenesis inhibitors and improving combination regimens.

Indexed as

AdenocarcinomaAngiogenesis InhibitorsAnimalsAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedApoptosisBevacizumabCell Line, TumorDrug Resistance, NeoplasmErbB ReceptorsGene Expression ProfilingHumansLung NeoplasmsMaleMiceMice, NudeAngiogenesis InhibitorsAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedBevacizumabErbB ReceptorsRNA, MessengerRNA, NeoplasmVascular Endothelial Growth Factor AVascular Endothelial Growth Factor Receptor-2VEGFA protein, human

Identifiers

PMID21436589
PMCPMC3070607
OpenAlexW2071185061

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.