Evidence map›Paper›PMID 26861585›Full record

ArticleGynecologic oncology2016

L1CAM is an independent predictor of poor survival in endometrial cancer - An analysis of The Cancer Genome Atlas (TCGA).

Thanh H Dellinger, David D Smith, Ching Ouyang, Charles D Warden, John C Williams, Ernest S Han

Open access · greenAbstract read
In one paragraph

Article in Gynecologic oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 4 pooled it
13.1field-weighted citation impact, top 1% 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

47 citing papers in PubMed, 4 syntheses or guidelines pooled it, 78 citations in OpenAlex.

  1. Pooled it
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  9. Prognostic Role of L1CAM in Endometrial Cancer.Diagnostics (Basel, Switzerland) · 2025
    Review
  10. Multifactorial construction of low-grade and high-grade endometrial cancer recurrence prediction models.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
    Article
  11. Prognostic Value of β-Catenin and L1CAM Expressions in Type I Endometrial Carcinoma.Asian Pacific journal of cancer prevention : APJCP · 2023
    Article
  12. Article
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  16. Role of alternative splicing events in endometrial cancer prognosis.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2021
    Article
  17. Review
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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

6 authors at 4 institutions in 2 countries.

Thanh H DellingerDepartment of Surgery, Division of Gynecologic Oncology, City of Hope National Medical Center, Duarte, CA, United States. Electronic address: tdellinger@coh.org.
David D SmithBiostatistics Unit, QIMR Berghofer Medical Research Institute, Royal Brisbane Hospital, Herston, Australia.
Ching OuyangDepartment of Information Sciences, Beckman Research Institute of City of Hope, Duarte, CA, United States; Department of Molecular Medicine, Beckman Research Institute of City of Hope, Duarte, CA, United States.
Charles D WardenIntegrative Genomics and Bioinformatics Cores, City of Hope Comprehensive Cancer Center, Duarte, CA, United States.
John C WilliamsDepartment of Molecular Medicine, Beckman Research Institute of City of Hope, Duarte, CA, United States.
Ernest S HanDepartment of Surgery, Division of Gynecologic Oncology, City of Hope National Medical Center, Duarte, CA, United States.
Beckman Research InstituteCity Of Hope National Medical Center · USCity of Hope · USQIMR Berghofer Medical Research Institute · AU

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI XIWEI WU · 1985 to 2026
$86.3M
NCI NIH HHS P30 CA033572
6 · The paper itself

Abstract

backgroundL1-cell adhesion molecule (L1CAM) was previously reported to carry a poor prognosis in Stage I, low-risk endometrial cancer (EC). We evaluated the role of L1CAM among all stages and histologies in ECs in The Cancer Genome Atlas (TCGA).

methodsClinical information and RNA-Seq expression data were derived from TCGA uterine cancer cohort. Associations between L1CAM expression and clinical factors were tested with linear and logistic regression. Differences in survival between "high" and "low" expression groups (defined by median expression) of L1CAM were compared using Cox regression analysis, with p-values calculated via log-rank test. Kaplan-Meier curves were tested with the log-rank test.

resultsPatient characteristics of 545 primary tumors with RNA-Seq gene expression data were analyzed. Median age was 64years (range 31-90). Stage I, II, III, and IV comprised 62%, 10%, 23%, and 5%, respectively. 75% were endometrioid; 21% serous. Grade 1, 2, and 3 comprised 18%, 22%, and 60%, respectively. Median follow-up was 23.0months. High L1CAM expression was associated with advanced stage (OR 3.2), high grade (OR=6.8), serous histology (OR=16.3), positive cytology (OR=3.5), positive pelvic (OR=21.8) and para-aortic lymph nodes (OR=10.3) (all p≤0.001). High L1CAM was associated with a median overall survival (OS) of 107months, versus not reached for low L1-expressing ECs (HR=3.46, CI 1.97-6.07, p<0.001). On multivariate analysis, L1CAM expression remained an independent prognostic variable in predicting OS in EC.

conclusionsL1CAM expression is an independent predictor of poor survival in endometrial cancer, and is associated with advanced stage, high-risk endometrial cancer.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCD56 AntigenEndometrial NeoplasmsFemaleHumansMiddle AgedNeoplasm StagingRisk FactorsBiomarkers, TumorCD56 AntigenNCAM1 protein, humanEndometrial cancerL1CAMTCGA

Identifiers

PMID26861585
PMCPMC5868342
OpenAlexW2262284635

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.