Evidence map›Paper›PMID 35159051›Full record

ReviewCancers2022

Shifting the Focus of Signaling Abnormalities in Colon Cancer.

Markus A Brown, Thomas Ried

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2022. 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
1.2field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  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

2 authors at 1 institution in 1 country.

Markus A BrownGenetics Branch, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA.
Thomas RiedGenetics Branch, Center for Cancer Research, NCI, NIH, Bethesda, MD 20892, USA.ORCID 0000-0002-0767-6009
Center for Cancer Research · US

Funding

Intratumor heterogeneity and tumor evolutionZIABC010834 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI RIED, THOMAS · 2009 to 2023
$12.2M
Identification and functional characterization of colorectal cancer genesZIABC010833 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI RIED, THOMAS · 2009 to 2022
$12.1M
Prediction of Therapy Response in Colorectal CancerZIABC010837 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI RIED, THOMAS · 2009 to 2022
$8.9M
Prediction of Therapy Response in Colorectal CancerZIABC012061 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI RIED, THOMAS · 2021 to 2022
$1.5M
6 · The paper itself

Abstract

Colon cancer tumorigenesis occurs incrementally. The process involves the acquisition of mutations which typically follow an established pattern: activation of WNT signaling, activation of RAS signaling, and inhibition of TGF-β signaling. This arrangement recapitulates, to some degree, the stem cell niche of the intestinal epithelium, which maintains WNT and EGF activity while suppressing TGF-β. The resemblance between the intestinal stem cell environment and colon cancer suggests that the concerted activity of these pathways generates and maintains a potent growth-inducing stimulus. However, each pathway has a myriad of downstream targets, making it difficult to identify which aspects of these pathways are drivers. To address this, we utilize the cell cycle, the ultimate regulator of cell proliferation, as a foundation for cross-pathway integration. We attempt to generate an overview of colon cancer signaling patterns by integrating the major colon cancer signaling pathways in the context of cell replication, specifically, the entrance from G

Indexed as

K-RASMYCRAS signalingSMAD4TGF-β signalingWNT signalingβ-catenin

Identifiers

PMID35159051
PMCPMC8834070
OpenAlexW4210320247

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.