Evidence map›Paper›PMID 25153136›Full record

ArticlePloS one2014

A molecular prognostic model predicts esophageal squamous cell carcinoma prognosis.

Hui-Hui Cao, Chun-Peng Zheng, Shao-Hong Wang, Jian-Yi Wu, Jin-Hui Shen, Xiu-E Xu, Jun-Hui Fu, Zhi-Yong Wu, En-Min Li, Li-Yan Xu

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  7. Article
  8. Novel anti-invasive properties of a Fascin1 inhibitor on colorectal cancer cells.Journal of molecular medicine (Berlin, Germany) · 2020
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  12. ANXA2 promotes esophageal cancer progression by activating MYC-HIF1A-VEGF axis.Journal of experimental & clinical cancer research : CR · 2018
    Article
  13. Article
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  15. Postoperative radiation therapy of pT2-3N0M0 esophageal carcinoma-a review.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Review
  16. Article
  17. Mithramycin Depletes Specificity Protein 1 and Activates p53 to Mediate Senescence and Apoptosis of Malignant Pleural Mesothelioma Cells.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016
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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

10 authors.

Hui-Hui CaoThe Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou, Guangdong, China; Institute of Oncologic Pathology, Shantou University Medical College, Shantou, Guangdong, China.
Chun-Peng ZhengDepartments of Oncology Surgery, Shantou Central Hospital, Affiliated Shantou Hospital of Sun Yat-sen University, Shantou, Guangdong, China.
Shao-Hong WangDepartments of Pathology, Shantou Central Hospital, Affiliated Shantou Hospital of Sun Yat-sen University, Shantou, Guangdong, China.
Jian-Yi WuThe Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou, Guangdong, China; Department of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou, Guangdong, China.
Jin-Hui ShenDepartments of Oncology Surgery, Shantou Central Hospital, Affiliated Shantou Hospital of Sun Yat-sen University, Shantou, Guangdong, China.
Xiu-E XuThe Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou, Guangdong, China; Institute of Oncologic Pathology, Shantou University Medical College, Shantou, Guangdong, China.
Jun-Hui FuDepartments of Oncology Surgery, Shantou Central Hospital, Affiliated Shantou Hospital of Sun Yat-sen University, Shantou, Guangdong, China.
Zhi-Yong WuDepartments of Oncology Surgery, Shantou Central Hospital, Affiliated Shantou Hospital of Sun Yat-sen University, Shantou, Guangdong, China.
En-Min LiThe Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou, Guangdong, China; Department of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou, Guangdong, China.
Li-Yan XuThe Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area, Shantou University Medical College, Shantou, Guangdong, China; Institute of Oncologic Pathology, Shantou University Medical College, Shantou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEsophageal squamous cell carcinoma (ESCC) has the highest mortality rates in China. The 5-year survival rate of ESCC remains dismal despite improvements in treatments such as surgical resection and adjuvant chemoradiation, and current clinical staging approaches are limited in their ability to effectively stratify patients for treatment options. The aim of the present study, therefore, was to develop an immunohistochemistry-based prognostic model to improve clinical risk assessment for patients with ESCC.

methodsWe developed a molecular prognostic model based on the combined expression of axis of epidermal growth factor receptor (EGFR), phosphorylated Specificity protein 1 (p-Sp1), and Fascin proteins. The presence of this prognostic model and associated clinical outcomes were analyzed for 130 formalin-fixed, paraffin-embedded esophageal curative resection specimens (generation dataset) and validated using an independent cohort of 185 specimens (validation dataset).

resultsThe expression of these three genes at the protein level was used to build a molecular prognostic model that was highly predictive of ESCC survival in both generation and validation datasets (P = 0.001). Regression analysis showed that this molecular prognostic model was strongly and independently predictive of overall survival (hazard ratio = 2.358 [95% CI, 1.391-3.996], P = 0.001 in generation dataset; hazard ratio = 1.990 [95% CI, 1.256-3.154], P = 0.003 in validation dataset). Furthermore, the predictive ability of these 3 biomarkers in combination was more robust than that of each individual biomarker.

conclusionsThis technically simple immunohistochemistry-based molecular model accurately predicts ESCC patient survival and thus could serve as a complement to current clinical risk stratification approaches.

Indexed as

Biomarkers, TumorCarcinoma, Squamous CellCarrier ProteinsChinaErbB ReceptorsEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaFemaleHumansImmunohistochemistryMaleMicrofilament ProteinsMiddle AgedNeoplasm StagingPrognosisSp1 Transcription FactorBiomarkers, TumorCarrier ProteinsEGFR protein, humanErbB ReceptorsfascinMicrofilament ProteinsSP1 protein, humanSp1 Transcription Factor

Identifiers

PMID25153136
PMCPMC4143329

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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.