Evidence map›Paper›PMID 28741564›Full record

ReviewTrends in cancer2015

Surviving at a Distance: Organ-Specific Metastasis.

Anna C Obenauf, Joan Massagué

Abstract readReview
In one paragraph

Review in Trends in cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 334 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
334citing papers in PubMed, 1 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

334 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. An MRI Atlas of Regional Brain Vulnerability to Metastatic Disease.medRxiv : the preprint server for health sciences · 2026
    Article
  8. Article
  9. Mechanisms of Pericyte-Mediated Cancer Metastasis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article

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

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

2 authors.

Anna C ObenaufCancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Joan MassaguéCancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA. Electronic address: j-massague@ski.mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
The Role of Focal Oncogene Amplifications in Lung CancerP01CA129243 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Piro Lito · 2007 to 2026
$31.2M
The Proneural Perivascular Niche and Therapeutic ResponseU54CA163167 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI HOLLAND, ERIC C. · 2011 to 2015
$4.6M
NCI NIH HHS P01 CA129243NCI NIH HHS P30 CA008748NCI NIH HHS U54 CA163167
6 · The paper itself

Abstract

The clinical manifestation of metastasis in a vital organ is the final stage of cancer progression and the main culprit of cancer-related mortality. Once established, metastasis is devastating, but only a small proportion of the cancer cells that leave a tumor succeed at infiltrating, surviving, and ultimately overtaking a distant organ. The bottlenecks that challenge cancer cells in newly invaded microenvironments are organ-specific and consequently demand distinct mechanisms for metastatic colonization. We review the metastatic traits that allow cancer cells to colonize distinct organ sites.

Indexed as

Cancermetastasismetastatic colonizationorgan-specific metastasis

Identifiers

PMID28741564
PMCPMC4673677

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.