Evidence map›Paper›PMID 21553350›Full record

ArticlePathology oncology research : POR2011

Stem cell associated genes working with one miRNA cluster have different clinic pathologic values in gastric cancer.

Qiong Wu, Zhiping Yang, Sijun Hu, Tao Su, Yanxin An, Zhiyong Zhang, Yongzhan Nie, Xin Wang, Yongquan Shi, Daiming Fan

Abstract read
PubMed Publisher
In one paragraph

Article in Pathology oncology research : POR, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

10 authors at 2 institutions in 1 country.

Qiong WuState Key Laboratory of Cancer Biology and Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 127 Changle Western Road, Xi'an, Shaanxi 710032, China.
Zhiping Yang
Sijun Hu
Tao Su
Yanxin An
Zhiyong Zhang
Yongzhan Nie
Xin Wang
Yongquan Shi
Daiming Fan
Xijing Hospital · CNAir Force Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer stem cells are nowadays considered to be the origin of cancer. Also, stem cell associated genes are emerging as predictors of cancer malignancy. We investigated the association of several stemness genes (c-Myc, PTEN, p57 and p21) with clinic pathological parameters and survival in stomach cancer by performing immunohistochemistry on paraffin sections of gastric cancer patients who underwent surgical staging with following-up statistics. We discovered that expression of c-Myc was significantly related to distant metastasis, the combined expression of PTEN and p21 correlated positively to overall survival, while p57 was less useful in overall survival prediction in gastric cancer. Additionally, there is a positive correlation between expressions of p57 and p21. In conclusion, our present study indicated that expression of stemness genes (c-Myc, PTEN, p57 and p21) performed different predictive potential in the evaluation of clinical malignancy levels in gastric cancer.

Indexed as

AdultAgedAged, 80 and overCyclin-Dependent Kinase Inhibitor p21Cyclin-Dependent Kinase Inhibitor p57FemaleFollow-Up StudiesHumansImmunohistochemistryMaleMicroRNAsMiddle AgedNeoplasm MetastasisNeoplastic Stem CellsPrognosisProto-Oncogene Proteins c-mycCDKN1A protein, humanCDKN1C protein, humanCyclin-Dependent Kinase Inhibitor p21Cyclin-Dependent Kinase Inhibitor p57MicroRNAsMYC protein, humanProto-Oncogene Proteins c-mycPTEN PhosphohydrolasePTEN protein, human

Identifiers

PMID21553350
OpenAlexW2007213658

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.