Evidence map›Paper›PMID 16192819›Full record

Trial reportAnnals of surgery2005

A prospective trial on initiation factor 4E (eIF4E) overexpression and cancer recurrence in node-positive breast cancer.

Derek R McClusky, Quyen Chu, Herbert Yu, Arrigo Debenedetti, Lester W Johnson, Carol Meschonat, Richard Turnage, John C McDonald, Fleurette Abreo, Benjamin D L Li

Open access · greenAbstract readClinical TrialComparative Study
In one paragraph

Trial report in Annals of surgery, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 50 citations in OpenAlex.

  1. The mCancers · 2023
    Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Targeting translation initiation in breast cancer.Translation (Austin, Tex.) · 2014
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Anti-cancer therapies that utilize cell penetrating peptides.Recent patents on anti-cancer drug discovery · 2010
    Review
  15. Article
  16. Article
  17. Role of mTOR in anticancer drug resistance: perspectives for improved drug treatment.Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy · 2008
    Review
  18. Article
  19. Review
  20. Article
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

10 authors at 3 institutions in 1 country.

Derek R McCluskyDepartment of Surgery, Louisiana State University Health Sciences Center in Shreveport, Shreveport, Louisiana 71130, USA.
Quyen Chu
Herbert Yu
Arrigo Debenedetti
Lester W Johnson
Carol Meschonat
Richard Turnage
John C McDonald
Fleurette Abreo
Benjamin D L Li
Louisiana State University Health Sciences Center Shreveport · USConway School of Landscape Design · USYale New Haven Health System · US

Funding

EIF4E OVEREXPRESSION AND BREAST CANCER RECURRENCER55CA079082 · NCI · LOUISIANA STATE UNIV HSC SHREVEPORT · PI LI, BENJAMIN D · 1998 to 1998
–
NCI NIH HHS CA 79082
6 · The paper itself

Abstract

objectiveA previous study of patients with stage I to III breast cancer showed that those patients whose tumors were in the highest tertile of eIF4E overexpression experienced a higher risk for recurrence. This study was designed to determine whether high eIF4E overexpression predicts cancer recurrence independent of nodal status by specifically targeting patients with node-positive disease.

methodsThe prospective trial was designed to accrue 168 patients with node-positive breast cancer to detect a 2.5-fold increase in risk for recurrence. eIF4E level was quantified by Western blots as x-fold elevated compared with breast tissues from noncancer patients. End points measured were disease recurrence and cancer-related death. Statistical analyses performed include survival analysis by the Kaplan-Meier method, log-rank test, and Cox proportional hazard model.

resultsOne hundred seventy-four patients with node-positive breast cancer were accrued. All patients fulfilled study inclusion and exclusion criteria, treatment protocol, and surveillance requirements, with a compliance rate >95%. The mean eIF4E elevation was 11.0 +/- 7.0-fold (range, 1.4-34.3-fold). Based on previously published data, tertile distribution was as follow: 1) lowest tertile (<7.5-fold) = 67 patients, 2) intermediate tertile (7.5-14-fold) = 54 patients, and 3) highest tertile (>14-fold) = 53 patients. At a median follow up of 32 months, patients with the highest tertile had a statistically significant higher cancer recurrence rate (log-rank test, P = 0.002) and cancer-related death rate (P = 0.036) than the lowest group. Relative risk calculations demonstrated that high eIF4E patients had a 2.4-fold increase in relative risk increase for cancer recurrence (95% confidence interval, 1.2-4.1; P = 0.01).

conclusionsIn this prospective study designed to specifically address risk for recurrence in patients with node-positive breast cancer, the patients whose tumors were in the highest tertile of eIF4E overexpression had a 2.4-fold increase in relative risk for cancer recurrence. Therefore, eIF4E overexpression appears to be an independent predictor of a worse outcome in patients with breast cancer independent of nodal status.

Indexed as

Lymph NodesNeoplasm Recurrence, LocalBiomarkers, TumorBlotting, WesternBreast NeoplasmsElectrophoresis, Polyacrylamide GelEukaryotic Initiation Factor-4EFemaleFollow-Up StudiesHumansIncidenceLymphatic MetastasisMastectomy, Extended RadicalMiddle AgedNeoplasm StagingProspective StudiesBiomarkers, TumorEukaryotic Initiation Factor-4E

Identifiers

PMID16192819
PMCPMC1402342
OpenAlexW2049087214

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.