Evidence map›Paper›PMID 25956270›Full record

ArticleCancer causes & control : CCC2015

Proceedings of the second international molecular pathological epidemiology (MPE) meeting.

Shuji Ogino, Peter T Campbell, Reiko Nishihara, Amanda I Phipps, Andrew H Beck, Mark E Sherman, Andrew T Chan, Melissa A Troester, Adam J Bass, Kathryn C Fitzgerald and 16 more

Abstract readConference Proceedings
In one paragraph

Article in Cancer causes & control : CCC, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Can We Interpret Analyses of Etiologic Heterogeneity When Molecular Markers Are Used to Classify Tumors?Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Energy sensing pathways: Bridging type 2 diabetes and colorectal cancer?Journal of diabetes and its complications · 2017
    Review
  10. Article
  11. Transdisciplinary approaches enhance the production of translational knowledge.Translational research : the journal of laboratory and clinical medicine · 2017
    Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. MicroRNA MIR21 (miR-21) and PTGS2 Expression in Colorectal Cancer and Patient Survival.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016
    Article
  19. Review
  20. 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

26 authors.

Shuji OginoDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, 450 Brookline Ave., Room M422, Boston, MA, 02215, USA, shuji_ogino@dfci.harvard.edu.
Peter T Campbell
Reiko Nishihara
Amanda I Phipps
Andrew H Beck
Mark E Sherman
Andrew T Chan
Melissa A Troester
Adam J Bass
Kathryn C Fitzgerald
Rafael A Irizarry
Karl T Kelsey
Hongmei Nan
Ulrike Peters
Elizabeth M Poole
Zhi Rong Qian
Rulla M Tamimi
Eric J Tchetgen Tchetgen
Shelley S Tworoger
Xuehong Zhang
Edward L Giovannucci
Piet A van den Brandt
Bernard A Rosner
Molin Wang
Nilanjan Chatterjee
Colin B Begg

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
VectorP30CA006516 · NCI · DANA-FARBER CANCER INSTITUTE · PI Irene M. Ghobrial · 1985 to 2026
$330.6M
Inflammation and Colorectal NeoplasiaR01CA137178 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHAN, ANDREW T · 2009 to 2019
$6.5M
Unraveling the Complexities of Risk and Mechanism in CancerR35CA220523 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI QUACKENBUSH, JOHN · 2018 to 2024
$6.0M
Accelerating Transdisciplinary Epidemiology of Colorectal CancerR35CA197735 · NCI · DANA-FARBER CANCER INST · PI OGINO, SHUJI · 2015 to 2021
$6.0M
Using Networks to Assign Gene Function in Lung DiseaseR01HL111759 · NHLBI · DANA-FARBER CANCER INST · PI QUACKENBUSH, JOHN, SILVERMAN, EDWIN K · 2012 to 2015
$3.4M
Epigenetic Events and Colorectal Cancer EpidemiologyR01CA151993 · NCI · DANA-FARBER CANCER INST · PI OGINO, SHUJI · 2010 to 2014
$2.6M
Mentored Patient-Oriented Research in Digestive DiseasesK24DK098311 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI CHAN, ANDREW T · 2013 to 2017
$930k
Lifestyle, genetics and colonoscopy for colorectal cancer preventionK07CA190673 · NCI · DANA-FARBER CANCER INST · PI NISHIHARA, REIKO · 2014 to 2018
$609k
Lifestyle Factors and Survival Outcomes for Colorectal Cancer Molecular SubtypesK07CA172298 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PHIPPS, AMANDA IRENE · 2013 to 2016
$406k
NCI NIH HHS K07 CA172298NCI NIH HHS K07 CA190673NCI NIH HHS P30 CA006516NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA137178NCI NIH HHS R01 CA151993NCI NIH HHS R35 CA197735NCI NIH HHS R35 CA220523NHLBI NIH HHS R01 HL111759NIDDK NIH HHS K24 DK098311
6 · The paper itself

Abstract

Disease classification system increasingly incorporates information on pathogenic mechanisms to predict clinical outcomes and response to therapy and intervention. Technological advancements to interrogate omics (genomics, epigenomics, transcriptomics, proteomics, metabolomics, metagenomics, interactomics, etc.) provide widely open opportunities in population-based research. Molecular pathological epidemiology (MPE) represents integrative science of molecular pathology and epidemiology. This unified paradigm requires multidisciplinary collaboration between pathology, epidemiology, biostatistics, bioinformatics, and computational biology. Integration of these fields enables better understanding of etiologic heterogeneity, disease continuum, causal inference, and the impact of environment, diet, lifestyle, host factors (including genetics and immunity), and their interactions on disease evolution. Hence, the Second International MPE Meeting was held in Boston in December 2014, with aims to: (1) develop conceptual and practical frameworks; (2) cultivate and expand opportunities; (3) address challenges; and (4) initiate the effort of specifying guidelines for MPE. The meeting mainly consisted of presentations of method developments and recent data in various malignant neoplasms and tumors (breast, prostate, ovarian and colorectal cancers, renal cell carcinoma, lymphoma, and leukemia), followed by open discussion sessions on challenges and future plans. In particular, we recognized need for efforts to further develop statistical methodologies. This meeting provided an unprecedented opportunity for interdisciplinary collaboration, consistent with the purposes of the Big Data to Knowledge, Genetic Associations and Mechanisms in Oncology, and Precision Medicine Initiative of the US National Institute of Health. The MPE meeting series can help advance transdisciplinary population science and optimize training and education systems for twenty-first century medicine and public health.

Indexed as

GenomicsNeoplasmsAnimalsHumans

Identifiers

PMID25956270
PMCPMC4466011

What Socratic 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 Socratic graph.