Evidence map›Paper›PMID 34253130›Full record

ArticleExpert review of molecular diagnostics2021

Revisiting social MPE: an integration of molecular pathological epidemiology and social science in the new era of precision medicine.

Jin Dai, Akihiro Nishi, Nathan Tran, Yasumasa Yamamoto, George Dewey, Tomotaka Ugai, Shuji Ogino

Abstract read
In one paragraph

Article in Expert review of molecular diagnostics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

7 authors.

Jin DaiDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, California, United States.
Akihiro NishiDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, California, United States.
Nathan TranDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, California, United States.
Yasumasa YamamotoGraduate School of Advanced Integrated Studies in Human Survivability, Kyoto University, Sakyo-ku, Kyoto Japan.
George DeweyDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, California, United States.
Tomotaka UgaiProgram in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts, United States.
Shuji OginoProgram in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts, United States.

Funding

Spatial Immunopathological Epidemiology of Colorectal Adenoma-Carcinoma SpectrumR01CA248857 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Jonathan Andrew Nowak, Shuji Ogino · 2020 to 2026
$6.6M
Accelerating Transdisciplinary Epidemiology of Colorectal CancerR35CA197735 · NCI · DANA-FARBER CANCER INST · PI OGINO, SHUJI · 2015 to 2021
$6.0M
NCI NIH HHS R01 CA248857NCI NIH HHS R35 CA197735
6 · The paper itself

Abstract

introductionMolecular pathological epidemiology (MPE) is an integrative transdisciplinary area examining the relationships between various exposures and pathogenic signatures of diseases. In line with the accelerating advancements in MPE, social science and its health-related interdisciplinary areas have also developed rapidly. Accumulating evidence indicates the pathological role of social-demographic factors. We therefore initially proposed social MPE in 2015, which aims to elucidate etiological roles of social-demographic factors and address health inequalities globally. With the ubiquity of molecular diagnosis, there are ample opportunities for researchers to utilize and develop the social MPE framework. AREAS COVERED: Molecular subtypes of breast cancer have been investigated rigorously for understanding its etiologies rooted from social factors. Emerging evidence indicates pathogenic heterogeneity of neurological disorders such as Alzheimer's disease. Presenting specific patterns of social-demographic factors across different molecular subtypes should be promising for advancing the screening, prevention, and treatment strategies of those heterogeneous diseases. This article rigorously reviewed literatures investigating differences of race/ethnicity and socioeconomic status across molecular subtypes of breast cancer and Alzheimer's disease to date. EXPERT OPINION: With advancements of the multi-omics technologies, we foresee a blooming of social MPE studies, which can address health disparities, advance personalized molecular medicine, and enhance public health.

Indexed as

NeoplasmsPrecision MedicineHumansMolecular EpidemiologyPathology, MolecularSocial SciencesAlzheimer’s diseasebreast cancerhealth inequalityheterogeneitylaboratory medicinemolecular pathological epidemiologyprecision medicinepreventionsocial epidemiologysocial science

Identifiers

PMID34253130
PMCPMC8478868

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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.