Evidence map›Paper›PMID 25980316›Full record

ArticleScientific reports2015

Circulating mRNA Profiling in Esophageal Squamous Cell Carcinoma Identifies FAM84B As A Biomarker In Predicting Pathological Response to Neoadjuvant Chemoradiation.

Feng-Ming Hsu, Jason Chia-Hsien Cheng, Yih-Leong Chang, Jang-Ming Lee, Albert C Koong, Eric Y Chuang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. 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
2.7field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Roles of oncogenes in esophageal squamous cell carcinoma and their therapeutic potentials.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Patients with Non-response to Neoadjuvant Chemoradiation for Esophageal Cancer Have No Survival Advantage over Patients Undergoing Primary Esophagectomy.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2020
    Article
  10. Article
  11. Article
  12. FAM84B promotes prostate tumorigenesis through a network alteration.Therapeutic advances in medical oncology · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
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

6 authors at 3 institutions in 2 countries.

Feng-Ming Hsu1] Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan [2] Cancer Research Center, National Taiwan University, Taipei, Taiwan [3] Department of Oncology, National Taiwan University Hospital.
Jason Chia-Hsien Cheng1] Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan [2] Graduate Institute of Oncology, National Taiwan University, Taipei, Taiwan [3] Cancer Research Center, National Taiwan University, Taipei, Taiwan [4] Department of Oncology, National Taiwan University Hospital.
Yih-Leong ChangDepartment of Pathology,National Taiwan University Hospital.
Jang-Ming LeeDepartment of Surgery, National Taiwan University Hospital.
Albert C KoongDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California, United States.
Eric Y Chuang1] Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan [2] Bioinformatics and Biostatistics Core, Center of Genomic Medicine, National Taiwan University, Taipei, Taiwan.
National Taiwan University · TWNational Taiwan University Hospital · TWStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal cancer patients with pathological complete response (pCR) to neoadjuvant chemoradiation (CRT) have favorable outcomes. Currently, there was no reliable biomarker predicting the response to CRT. Perioperative circulating mRNA may be associated with prognosis, but its application for predicting treatment response is unclear. We prospectively assessed the value of circulating messenger RNA (mRNA) profiling in predicting pCR for esophageal squamous cell carcinoma (ESCC). Patients with ESCC completing CRT followed by surgery were enrolled for analysis. Venous peripheral blood was obtained before and after CRT, and total RNA was extracted for hybridization-based whole genome expression analysis and quantitative RT-PCR. We found circulating expression profiling was significantly altered after CRT. Altered FAM84B expression was significantly predictive of pCR. The decrease of serum FAM84B protein level after CRT was also associated with pCR. Immunohistochemistry and western blot confirmed that FAM84B protein was overexpressed in the majority of patients and ESCC cell lines. Furthermore, knockdown of FAM84B delayed tumor growth in ectopic xenografts. We demonstrated the decreased of circulating FAM84B mRNA and protein after neoadjuvant CRT may predict pCR, and FAM84B protein is overexpressed in ESCC. The potential of FAM84B as a novel predictive biomarker, and its biological functions deserve further investigation.

Indexed as

Biomarkers, TumorAdultAgedAnimalsCarcinoma, Squamous CellCell Line, TumorChemoradiotherapyCluster AnalysisDisease Models, AnimalEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleBiomarkers, TumorLRATD2 protein, humanMembrane ProteinsNeoplasm ProteinsRNA, Messenger

Identifiers

PMID25980316
PMCPMC4434848
OpenAlexW2260854250

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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.