Evidence map›Paper›PMID 26622818›Full record

ArticleOncology letters2015

Analysis of the correlation between P53 and Cox-2 expression and prognosis in esophageal cancer.

Jun Chen, Fang Wu, Hong-Lei Pei, Wen-Dong Gu, Zhong-Hua Ning, Ying-Jie Shao, Jin Huang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  4. Dynamic changes of DNA methylation induced by benzo(a)pyrene in cancer.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2023
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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

7 authors at 1 institution in 1 country.

Jun ChenDepartment of Radiation Oncology, The Third Affiliated Hospital, Soochow University, Changzhou, Jiangsu 213003, P.R. China.
Fang WuDepartment of Oncology, The Third Affiliated Hospital, Soochow University, Changzhou, Jiangsu 213003, P.R. China.
Hong-Lei PeiDepartment of Radiation Oncology, The Third Affiliated Hospital, Soochow University, Changzhou, Jiangsu 213003, P.R. China.
Wen-Dong GuDepartment of Radiation Oncology, The Third Affiliated Hospital, Soochow University, Changzhou, Jiangsu 213003, P.R. China.
Zhong-Hua NingDepartment of Radiation Oncology, The Third Affiliated Hospital, Soochow University, Changzhou, Jiangsu 213003, P.R. China.
Ying-Jie ShaoDepartment of Radiation Oncology, The Third Affiliated Hospital, Soochow University, Changzhou, Jiangsu 213003, P.R. China.
Jin HuangDepartment of Radiation Oncology, The Third Affiliated Hospital, Soochow University, Changzhou, Jiangsu 213003, P.R. China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to explore the importance of P53 and Cox-2 protein expression in esophageal cancer and assess their influence on prognosis. The expression of P53 and Cox-2 was assessed in esophageal cancer samples from 195 patients subjected to radical surgery at Changzhou First People's Hospital (Changzhou, China) between May 2010 and December 2011. Expression of P53 and Cox-2 proteins were detected in 60.5% (118/195) and 69.7% (136/195) of the samples, respectively, and were co-expressed in 43.1% (84/195) of the samples. A correlation was identified between P53 expression and overall survival (OS) (P=0.0351) as well as disease-free survival (DFS) (P=0.0307). In addition, the co-expression of P53 and Cox-2 also correlated with OS (P=0.0040) and DFS (P=0.0042). P53 expression (P=0.023), TNM staging (P<0.001) and P53/Cox-2 co-expression (P=0.009) were identified as independent factors affecting OS in patients with esophageal cancer via a Cox multivariate regression model analysis. A similar analysis also identified P53 expression (P=0.020), TNM staging (P<0.001) and P53/Cox-2 co-expression (P=0.008) as independent prognostic factors influencing DFS in these patients. Binary logistic regression analysis demonstrated a correlation between P53 expression (P=0.012), TNM staging (P<0.001), tumor differentiation level (P=0.023) and P53/Cox-2 co-expression (P=0.021), and local recurrence or distant esophageal cancer metastasis. The results of the present study indicate that P53 and Cox-2 proteins may act synergistically in the development of esophageal cancer, and the assessment of P53/Cox-2 co-expression status in esophageal cancer biopsies may become an important diagnostic criterion to evaluate the prognosis of patients with esophageal cancer.

Indexed as

Cox-2esophageal cancerP53prognosisrelevance

Identifiers

PMID26622818
PMCPMC4579898
OpenAlexW2160015925

What OpenQuestion holds

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LicenceCC BY
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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.