Evidence map›Paper›PMID 30370422›Full record

ArticleJournal of adenocarcinoma2016

EGFR-Signaling and Autophagy: How they Fit in the Cancer Landscape.

Amar B Singh

Open access · diamondAbstract read
In one paragraph

Article in Journal of adenocarcinoma, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
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

1 author at 1 institution in 1 country.

Amar B SinghDepartment of Biochemistry and Molecular Biology, Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center and VA Nebraska-Western Iowa Health Care System, Omaha, NE, USA.
University of Nebraska Medical Center · US

Funding

Role of Claudin-2 in Inflammatory Diseases and Colon CancerR01DK088902 · NIDDK · VANDERBILT UNIVERSITY · PI SINGH, AMAR B · 2011 to 2015
$1.7M
NIDDK NIH HHS R01 DK088902
6 · The paper itself

Abstract

Key significance of an overachieving Epidermal Growth Factor Receptor (EGFR)-signaling in cancer aggressiveness and poor prognosis is well recognized. In accordance, EGFR is either amplified or mutated in majority of the cancers of epithelial origin, and therefore has been recognized as a principal target for anticancer therapy. However, despite initial clinical efficacy of the anti-EGFR therapy in cancer treatment, long-term attempt to mute the cancer boosting effects of EGFR-dependent signaling meets resistance in cancer cells. Notably, effects of EGFR activation are pleotropic. Also, under conditions of anti-EGFR therapy in cancer cells, feedback activation of the pro-survival signaling by activation of other growth factor receptors can occur. However, a critical role of autophagy in the resistance against anti-EGFR therapy is fast emerging. Interestingly, EGFR regulates autophagy in a context-dependent manner. Furthermore, EGFR deregulated tumors demonstrate differential dependence upon autophagy for their survival and growth. Also, inhibiting EGFR-signaling promotes autophagy. These intriguing considerations are complicated further by findings that EGFR regulates autophagy in kinase-dependent or independent manner. Thus, for effective clinical cancer treatment using anti-EGFR regimen, it is critical that we understand molecular details of the nexus between the EGFR-signaling and autophagy.

Indexed as

AutophagyCarcinogenesisEGFRMetabolic stressTreatment resistance

Identifiers

PMID30370422
PMCPMC6202024
OpenAlexW2528275596

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.