Evidence map›Paper›PMID 22798218›Full record

ReviewClinical & experimental metastasis2012

Overlapping biomarkers, pathways, processes and syndromes in lymphatic development, growth and neoplasia.

Marlys H Witte, Michael T Dellinger, Cristobal M Papendieck, Francesco Boccardo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical & experimental metastasis, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Cancer metastasis through the lymphatic versus blood vessels.Clinical & experimental metastasis · 2024
    Review
  3. Review
  4. Essential role of Apelin signaling during lymphatic development in zebrafish.Arteriosclerosis, thrombosis, and vascular biology · 2014
    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

4 authors.

Marlys H WitteDepartment of Surgery, University of Arizona College of Medicine, 1501 N. Campbell Avenue, Tucson, AZ 85724-5200, USA. lymph@u.arizona.edu
Michael T Dellinger
Cristobal M Papendieck
Francesco Boccardo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent discoveries in molecular lymphology, developmental biology, and tumor biology in the context of long-standing concepts and observations on development, growth, and neoplasia implicate overlapping pathways, processes, and clinical manifestations in developmental disorders and cancer metastasis. Highlighted in this review are some of what is known (and speculated) about the genes, proteins, and signaling pathways and processes involved in lymphatic/blood vascular development in comparison to those involved in cancer progression and spread. Clues and conundra from clinical disorders that mix these processes and mute them, including embryonic rests, multicentric nests of displaced cells, uncontrolled/invasive "benign" proliferation and lymphogenous/hematogenous "spread", represent a fine line between normal development and growth, dysplasia, benign and malignant neoplasia, and "metastasis". Improved understanding of these normal and pathologic processes and their underlying pathomechanisms, e.g., stem cell origin and bidirectional epithelial-mesenchymal transition, could lead to more successful approaches in classification, treatment, and even prevention of cancer and a whole host of other diseases.

Indexed as

LymphangiogenesisLymphatic MetastasisBiomarkers, TumorDisease ProgressionEpithelial-Mesenchymal TransitionHumansLymphatic SystemLymphatic VesselsNeoplasmsSignal TransductionBiomarkers, Tumor

Identifiers

What OpenQuestion holds

Textmetadata
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.