Evidence map›Paper›PMID 26469352›Full record

ArticleThe Prostate2015

Evaluating a 4-marker signature of aggressive prostate cancer using time-dependent AUC.

Travis A Gerke, Neil E Martin, Zhihu Ding, Elizabeth J Nuttall, Edward C Stack, Edward Giovannucci, Rosina T Lis, Meir J Stampfer, Phillip W Kantoff, Giovanni Parmigiani and 2 more

Abstract read
In one paragraph

Article in The Prostate, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

12 authors.

Travis A GerkeDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Neil E MartinDepartment of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, Massachusetts.
Zhihu DingBelfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Elizabeth J NuttallCenter for Molecular Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Edward C StackDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Edward GiovannucciDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Rosina T LisCenter for Molecular Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Meir J StampferDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Phillip W KantoffDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Giovanni ParmigianiDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Massimo LodaCenter for Molecular Oncologic Pathology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Lorelei A MucciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

Funding

Tumor and Circulating Markers as Links Between Obesity and Lethal Prostate CanceP50CA090381 · NCI · DANA-FARBER CANCER INSTITUTE · PI LODA, MASSIMO · 2002 to 2017
$36.2M
Training Program in Cancer EpidemiologyT32CA009001 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI A. Heather Eliassen, Meir Stampfer · 1985 to 2026
$17.3M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
Energy Balance-Related Hormones & Prostate Cancer Incidence & ProgressionR01CA133891 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI GIOVANNUCCI, EDWARD · 2008 to 2012
$3.3M
Growth Factors and Lethal Prostate Cancer SignatureR01CA141298 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI STAMPFER, MEIR · 2010 to 2013
$2.2M
Sex-Hormones and the TMPRSS2: ERG Fusion in Prostate Cancer ProgressionR01CA136578 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI MUCCI, LORELEI · 2009 to 2013
$1.7M
NCI NIH HHS P50 CA090381NCI NIH HHS P50CA090381NCI NIH HHS R01 CA133891NCI NIH HHS R01CA133891NCI NIH HHS R01 CA136578NCI NIH HHS R01CA136578NCI NIH HHS R01 CA141298NCI NIH HHS R01CA141298NCI NIH HHS T32 CA009001NCI NIH HHS UM1 CA167552NCI NIH HHS UM1CA16755201
6 · The paper itself

Abstract

backgroundWe previously identified a protein tumor signature of PTEN, SMAD4, SPP1, and CCND1 that, together with clinical features, was associated with lethal outcomes among prostate cancer patients. In the current study, we sought to validate the molecular model using time-dependent measures of AUC and predictive values for discriminating lethal from non-lethal prostate cancer.

methodsUsing data from the initial study, we fit survival models for men with prostate cancer who were participants in the Physicians' Health Study (PHS; n = 276). Based on these models, we generated prognostic risk scores in an independent population, the Health Professionals Follow-up Study (HPFS; n = 347) to evaluate external validity. In each cohort, men were followed prospectively from cancer diagnosis through 2011 for development of distant metastasis or cancer mortality. We measured protein tumor expression of PTEN, SMAD4, SPP1, and CCND1 on tissue microarrays.

resultsDuring a median of 11.9 and 14.3 years follow-up in the PHS and HPFS cohorts, 24 and 32 men (9%) developed lethal disease. When used as a prognostic factor in a new population, addition of the four markers to clinical variables did not improve discriminatory accuracy through 15 years of follow-up.

conclusionsAlthough the four markers have been identified as key biological mediators in metastatic progression, they do not provide independent, long-term prognostic information beyond clinical factors when measured at diagnosis. This finding may underscore the broad heterogeneity in aggressive prostate tumors and highlight the challenges that may result from overfitting in discovery-based research.

Indexed as

AgedAged, 80 and overArea Under CurveBiomarkers, TumorCyclin D1Disease ProgressionFollow-Up StudiesGene Expression ProfilingHumansMaleMiddle AgedNeoplasm InvasivenessOsteopontinPrognosisProstateProstatic NeoplasmsBiomarkers, TumorCCND1 protein, humanCyclin D1OsteopontinPTEN PhosphohydrolasePTEN protein, humanSmad4 ProteinSPP1 protein, humanbiomarker validationprognostic biomarkersprostate cancer

Identifiers

PMID26469352
PMCPMC4831584

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.