Evidence map›Paper›PMID 22265421›Full record

ArticleCell2012

Computational modeling of pancreatic cancer reveals kinetics of metastasis suggesting optimum treatment strategies.

Hiroshi Haeno, Mithat Gonen, Meghan B Davis, Joseph M Herman, Christine A Iacobuzio-Donahue, Franziska Michor

Abstract read
In one paragraph

Article in Cell, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 214 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
214citing papers in PubMed, 2 pooled it
–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

214 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Ductal pancreatic adenocarcinoma.Deutsches Arzteblatt international · 2014
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  12. Mechanistic learning to predict and understand minimal residual disease.bioRxiv : the preprint server for biology · 2026
    Article
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  15. Review
  16. Article
  17. Modeling combination chemo-immunotherapy for heterogeneous tumors.Quantitative biology (Beijing, China) · 2025
    Article
  18. Review
  19. Review
  20. Article

154 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Hiroshi HaenoDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, and Harvard School of Public Health, Boston, MA 02115, USA.
Mithat Gonen
Meghan B Davis
Joseph M Herman
Christine A Iacobuzio-Donahue
Franziska Michor

Funding

Tumor Antigens for Individual Signatures and TherapyP50CA062924 · NCI · JOHNS HOPKINS UNIVERSITY · PI KERN, SCOTT E · 1993 to 2022
$54.6M
The Cell-Of-Origin of Human CancersU54CA143798 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI MICHOR, FRANZISKA · 2009 to 2014
$11.2M
TGF-beta Signaling in Pancreatic Cancer ProgressionR01CA140599 · NCI · JOHNS HOPKINS UNIVERSITY · PI IACOBUZIO-DONAHUE, CHRISTINE A · 2009 to 2013
$1.7M
TARGETS OF METASTATIC PANCREATIC CANCERK08CA106610 · NCI · JOHNS HOPKINS UNIVERSITY · PI IACOBUZIO-DONAHUE, CHRISTINE A · 2004 to 2008
$701k
NCI NIH HHS CA106610NCI NIH HHS CA62924NCI NIH HHS K08 CA106610NCI NIH HHS P50 CA062924NCI NIH HHS R01 CA140599NCI NIH HHS U54 CA143798NCI NIH HHS U54CA143798
6 · The paper itself

Abstract

Pancreatic cancer is a leading cause of cancer-related death, largely due to metastatic dissemination. We investigated pancreatic cancer progression by utilizing a mathematical framework of metastasis formation together with comprehensive data of 228 patients, 101 of whom had autopsies. We found that pancreatic cancer growth is initially exponential. After estimating the rates of pancreatic cancer growth and dissemination, we determined that patients likely harbor metastases at diagnosis and predicted the number and size distribution of metastases as well as patient survival. These findings were validated in an independent database. Finally, we analyzed the effects of different treatment modalities, finding that therapies that efficiently reduce the growth rate of cells earlier in the course of treatment appear to be superior to upfront tumor resection. These predictions can be validated in the clinic. Our interdisciplinary approach provides insights into the dynamics of pancreatic cancer metastasis and identifies optimum therapeutic interventions.

Indexed as

Models, BiologicalAgedAutopsyComputer SimulationDisease ProgressionHumansKineticsMiddle AgedNeoplasm MetastasisPancreatic NeoplasmsSurvival AnalysisSurvival RateTreatment Outcome

Identifiers

PMID22265421
PMCPMC3289413

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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.