ArticleJournal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract2015
Molecular Marker Expression Is Highly Heterogeneous in Esophageal Adenocarcinoma and Does Not Predict a Response to Neoadjuvant Therapy.
Article in Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Development and validation of a molecular tool to predict pathologic complete response in esophageal adenocarcinoma.Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus · 2022Article
- Review
- A single-nucleotide-polymorphism in the 5'-flanking region ofTherapeutic advances in medical oncology · 2022Article
- Clinical predictors of pathologically response after neoadjuvant chemoradiotherapy for esophageal squamous cell carcinoma: long term outcomes of a phase II study.Journal of thoracic disease · 2018Article
- Specific gene expression profiles are associated with a pathologic complete response to neoadjuvant therapy in esophageal adenocarcinoma.American journal of surgery · 2017Article
- Novel metastatic models of esophageal adenocarcinoma derived from FLO-1 cells highlight the importance of E-cadherin in cancer metastasis.Oncotarget · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
A reliable method to identify pathologic complete responders (pCR) or non-responders (NR) to neoadjuvant chemoradiation therapy (NAT) would dramatically improve therapy for esophageal cancer. The purpose of this study is to investigate if a distinct profile of prognostic molecular markers can predict pCR after neoadjuvant therapy. Expression of p53, Her-2/neu, Cox-2, Beta-catenin, E-cadherin, MMP-1, NFkB, and TGF-B was measured by immunohistochemistry in pre-treatment biopsy tissue and graded by an experienced pathologist. A pCR was defined as no evidence of malignancy on final pathology. Molecular profiles comparing responders to non-responders were analyzed using classification and regression tree analysis to investigate response to NAT and overall survival. Nineteen patients were pCRs and 34 were NRs. pCRs were more likely to be alive at follow-up than NRs (p < 0.01). Thirty-seven distinct profiles were identified. Expression of molecular markers was highly heterogeneous between patients and did not correlate with a response to NAT, survival (p = 0.47) or clinical stage (p = 0.39) when evaluated either as individual markers or in combination with other expression patterns. NAT dramatically impacts survival through a mechanism independent of known molecular markers of esophageal cancer, which are expressed in a highly heterogeneous fashion and do not predict response to NAT or survival.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.