Evidence map›Paper›PMID 27073576›Full record

ArticleOncology letters2016

Analysis of PI3K pathway components in human cancers.

Jamila Daragmeh, Waseim Barriah, Bashar Saad, Hilal Zaid

Abstract read
In one paragraph

Article in Oncology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  15. Cancer immune resistance: can theories converge?Emerging topics in life sciences · 2017
    Article
  16. Medicinal Plants and Natural Active Compounds for Cancer Chemoprevention/Chemotherapy.Evidence-based complementary and alternative medicine : eCAM · 2017
    Article
  17. 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.

Jamila DaragmehFaculty of Arts and Sciences, The Arab American University - Jenin, Jenin 11184, Palestine.
Waseim BarriahQasemi Research Center, Al-Qasemi Academic College of Education, Baqa El-Gharbia 30100, Israel.
Bashar SaadFaculty of Arts and Sciences, The Arab American University - Jenin, Jenin 11184, Palestine; Qasemi Research Center, Al-Qasemi Academic College of Education, Baqa El-Gharbia 30100, Israel.
Hilal ZaidFaculty of Arts and Sciences, The Arab American University - Jenin, Jenin 11184, Palestine; Qasemi Research Center, Al-Qasemi Academic College of Education, Baqa El-Gharbia 30100, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in genomics, proteomics, cell biology and biochemistry of tumors have revealed new pathways that are aberrantly activated in numerous cancer types. However, the enormous amount of data available in this field may mislead scientists in focused research. As cancer cell growth and progression is often dependent upon the phosphoinositide 3-kinase (PI3K)/AKT pathway, there has been extensive research into the proteins implicated in the PI3K pathway. Using data available in the Human Protein Atlas database, the current study investigated the expression of 25 key proteins that are known to be involved with PI3K pathway activation in a distinct group of 20 cancer types. These proteins are AKTIP, ARP1, BAD, GSK3A, GSK3B, MERTK-1, PIK3CA, PRR5, PSTPIP2, PTEN, FOX1, RHEB, RPS6KB1, TSC1, TP53, BCL2, CCND1, WFIKKN2, CREBBP, caspase-9, PTK2, EGFR, FAS, CDKN1A and XIAP. The analysis revealed pronounced expression of specific proteins in distinct cancer tissues, which may have the potential to serve as targets for treatments and provide insights into the molecular basis of cancer.

Indexed as

AKTcancerEGFRHuman Protein AtlasPI3KPTENTSC1tumorigenesis

Identifiers

PMID27073576
PMCPMC4812578

What OpenQuestion holds

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Registered trials

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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.