Evidence map›Paper›PMID 22009736›Full record

ArticleCancer2012

Adhesion molecule protein signature in ovarian cancer effusions is prognostic of patient outcome.

Geoffrey Kim, Ben Davidson, Ryan Henning, Junbai Wang, Minshu Yu, Christina Annunziata, Thea Hetland, Elise C Kohn

Open access · greenAbstract read
In one paragraph

Article in Cancer, 2012. 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
1.7field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Pre-analytical issues in effusion cytology.Pleura and peritoneum · 2016
    Review
  10. Expression of paxillin in laryngeal squamous cell carcinoma and its prognostic value.International journal of clinical and experimental pathology · 2015
    Article
  11. Article
  12. Article
  13. Article
  14. Mechanisms of ovarian cancer metastasis: biochemical pathways.International journal of molecular sciences · 2012
    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

8 authors at 3 institutions in 2 countries.

Geoffrey KimMolecular Signaling Section, Medical Oncology Branch, National Cancer Institute, Bethesda, Maryland, USA.
Ben Davidson
Ryan Henning
Junbai Wang
Minshu Yu
Christina Annunziata
Thea Hetland
Elise C Kohn
National Cancer Institute · USOslo University Hospital · NOUniversity of Oslo · NO

Funding

Signal Transduction Therapy--ClinicalZIASC009375 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI KOHN, ELISE C. · 2009 to 2013
$2.1M
Signal Transduction Therapy--Basic ScienceZIASC009163 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI KOHN, ELISE C. · 2009 to 2013
$1.4M
Signaling Pathways as Molecular Targets in Angiogenesis and MicroenvironmentZIASC009374 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI KOHN, ELISE C. · 2009 to 2013
$1.2M
Intramural NIH HHS ZIA SC009374
6 · The paper itself

Abstract

backgroundOvarian cancer cells in malignant effusions lack attachment to solid-phase matrix substrata and receive survival stimuli through cell-cell and cell-soluble matrix molecule interactions. We hypothesized that adhesion-related survival and proliferation pathway signals can inform clinical outcomes and guide targeted therapeutics.

methodsLysed cell pellets from a blinded set of benign (n = 20) and malignant (n = 51) peritoneal and pleural ovarian cancer patient effusions were applied to reverse-phase protein arrays and examined using validated antibodies to adhesion-associated protein endpoints. Results were subjected to hierarchical clustering for signature development. Association between specimen type, protein expression, and clinicopathologic associations were analyzed using the Mann-Whitney U test. Survival outcomes were estimated using the Kaplan-Meier method with log-rank comparison.

resultsA cell adhesion protein signature obtained from unsupervised clustering distinguished malignant from benign effusions (P = 6.18E-06). Protein subset analyses from malignant cases defined 3 cell adhesion protein clusters driven by E-cadherin, epithelial cell adhesion molecule, and N-cadherin, respectively. The components of the E- and N-cadherin clusters correlated with clinical outcome by Kaplan-Meier statistics. Univariate analysis indicated that FAK and phosphorylated AKT were associated with higher overall and progression-free survival (PFS) (P = .03), and Akt, phosphorylated paxillin, and E- and N-cadherin were associated with improved PFS (P ≤ .05). If 4 or 5 of the index adhesion proteins were high, PFS was improved by multivariate analysis (P ≤ .01).

conclusionsThis hypothesis-testing examination of tumor cell adhesion molecules and pathways yielded potential predictive biomarkers with which to triage patients to selected molecular therapeutics and may serve as a platform for biomarker-based stratification for clinical application.

Indexed as

AdultAgedAged, 80 and overAscitic FluidCell Adhesion MoleculesDisease-Free SurvivalFemaleHumansMiddle AgedOvarian NeoplasmsPleural EffusionPrognosisCell Adhesion Molecules

Identifiers

PMID22009736
PMCPMC7785151
OpenAlexW1988005161

What OpenQuestion holds

Textmetadata
LicenceTDM
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.