Evidence map›Paper›PMID 27624872›Full record

ArticleScientific reports2016

Visible-absorption spectroscopy as a biomarker to predict treatment response and prognosis of surgically resected esophageal cancer.

Pei-Wen Yang, I-Jen Hsu, Chun-Wei Chang, Yu-Chia Wang, Ching-Yueh Hsieh, Kuan-Hui Shih, Li-Fan Wong, Nai-Yu Shih, Min-Shu Hsieh, Max Ti-Kuang Hou and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Spectroscopy for Esophageal Diseases.Gastroenterology & hepatology · 2018
    Article
  4. 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

11 authors at 4 institutions in 1 country.

Pei-Wen YangDepartment of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
I-Jen HsuDepartment of Physics and Center for Biomedical Technology, Chung Yuan Christian University, Taoyuan, Taiwan.
Chun-Wei ChangDepartment of Physics and Center for Biomedical Technology, Chung Yuan Christian University, Taoyuan, Taiwan.
Yu-Chia WangDepartment of Physics and Center for Biomedical Technology, Chung Yuan Christian University, Taoyuan, Taiwan.
Ching-Yueh HsiehDepartment of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
Kuan-Hui ShihDepartment of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
Li-Fan WongDepartment of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
Nai-Yu ShihDepartment of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
Min-Shu HsiehGraduate Institute of Pathology, National Taiwan University College of Medicine, Taipei, Taiwan.
Max Ti-Kuang HouDepartment of Mechanical Engineering, National United University, Miaoli, Taiwan.
Jang-Ming LeeDepartment of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
National Taiwan University Hospital · TWChung Yuan Christian University · TWNational Taiwan University · TWNational United University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of optical absorption spectra in prognostic prediction has hardly been investigated. We developed and evaluated a novel two dimensional absorption spectrum measurement system (TDAS) for use in early diagnosis, evaluating response to chemoradiation, and making prognostic prediction. The absorption spectra of 120 sets of normal and tumor tissues from esophageal cancer patients were analyzed with TDAS ex-vivo. We demonstrated the cancerous tissue, the tissue from patients with a poor concurrent chemoradiotherapy (CCRT) response, and the tissue from patients with an early disease progression each had a readily identifiable common spectral signature. Principal component analysis (PCA) classified tissue spectra into distinct groups, demonstrating the feasibility of using absorption spectra in differentiating normal and tumor tissues, and in predicting CCRT response, poor survival and tumor recurrence (efficiencies of 75%, 100% and 85.7% respectively). Multivariate analysis revealed that patients identified as having poor-response, poor-survival and recurrence spectral signatures were correlated with increased risk of poor response to CCRT (P = 0.012), increased risk of death (P = 0.111) and increased risk of recurrence (P = 0.030) respectively. Our findings suggest that optical absorption microscopy has great potential to be a useful tool for pre-operative diagnosis and prognostic prediction of esophageal cancer.

Indexed as

AdenocarcinomaBiomarkers, TumorChemoradiotherapyDisease-Free SurvivalEsophageal NeoplasmsEsophagusFemaleHumansKaplan-Meier EstimateMaleMiddle AgedMultivariate AnalysisNeoplasm Recurrence, LocalPrincipal Component AnalysisPrognosisSpectrum AnalysisBiomarkers, Tumor

Identifiers

PMID27624872
PMCPMC5022060
OpenAlexW2519441605

What OpenQuestion holds

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LicenceCC BY
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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.