Evidence map›Paper›PMID 35330848›Full record

ArticleMed (New York, N.Y.)2021

Forecasting cancer: from precision to predictive medicine.

Elana J Fertig, Elizabeth M Jaffee, Paul Macklin, Vered Stearns, Chenguang Wang

Open access · bronzeAbstract read
In one paragraph

Article in Med (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
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  4. Personalizing computational models to construct medical digital twins.Journal of the Royal Society, Interface · 2025
    Article
  5. Article
  6. Personalizing computational models to construct medical digital twins.bioRxiv : the preprint server for biology · 2024
    Article
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  10. 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

5 authors at 3 institutions in 1 country.

Elana J FertigDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Elizabeth M JaffeeDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Paul MacklinDepartment of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.
Vered StearnsDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Chenguang WangDepartment of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Bloomberg (United States) · USJohns Hopkins University · USIndiana University Bloomington · US

Funding

Tumor Antigens for Individual Signatures and TherapyP50CA062924 · NCI · JOHNS HOPKINS UNIVERSITY · PI JAFFEE, ELIZABETH M. · 1993 to 2022
$54.6M
Transforming Human Pancreatic Cancer Into An Immunologic DiseaseP01CA247886 · NCI · JOHNS HOPKINS UNIVERSITY · PI ANDERS, ROBERT A. · 2021 to 2025
$12.7M
Targeting the Immunosuppressive Tumor Microenvironment of Pancreatic Cancer with a Neoadjuvant Platform Clinical TrialR01CA197296 · NCI · JOHNS HOPKINS UNIVERSITY · PI William Reece Burns, Eric Christenson · 2015 to 2026
$5.7M
Integrating bioinformatics into multiscale models for hepatocellular carcinomaU01CA212007 · NCI · JOHNS HOPKINS UNIVERSITY · PI EWALD, ANDREW JOSEF, FERTIG, ELANA · 2018 to 2022
$3.2M
Multiscale systems biology modeling to exploit tumor-stromal metabolic crosstalk in colorectal cancerU01CA232137 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FINLEY, STACEY DELERIA, MACKLIN, PAUL T · 2018 to 2022
$2.8M
Single-cell and imaging data integration software to spatially resolve the tumor microenvironmentU01CA253403 · NCI · JOHNS HOPKINS UNIVERSITY · PI FERTIG, ELANA · 2020 to 2022
$1.2M
NCI NIH HHS P01 CA247886NCI NIH HHS P50 CA062924NCI NIH HHS R01 CA197296NCI NIH HHS U01 CA212007NCI NIH HHS U01 CA232137NCI NIH HHS U01 CA253403
6 · The paper itself

Abstract

Tumor evolution drives tumor progression, therapeutic resistance, and metastasis. Therefore, new predictive medicine strategies that adapt with a tumor are needed to improve patient outcomes. The techniques used in weather prediction are mathematically proven to enable prediction of evolving systems, and thus provide a framework for a new predictive medicine paradigm for cancer.

Indexed as

NeoplasmsPrecision MedicineForecastingHumans

Identifiers

PMID35330848
PMCPMC8942083
OpenAlexW3199639156

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.