Evidence map›Paper›PMID 23605218›Full record

ReviewSurgery today2014

Biomarkers for predicting the response of esophageal squamous cell carcinoma to neoadjuvant chemoradiation therapy.

Hiroshi Okumura, Yasuto Uchikado, Tetsuro Setoyama, Masataka Matsumoto, Tetsuhiro Owaki, Sumiya Ishigami, Shoji Natsugoe

Abstract readReview
PubMed Publisher
In one paragraph

Review in Surgery today, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
8.4field-weighted citation impact, top 2% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. The Role ofMedicina (Kaunas, Lithuania) · 2020
    Trial
  3. Article
  4. Article
  5. Frontiers in cellular and infection microbiology · 2022
    Article
  6. Review
  7. Review
  8. 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
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Hedgehog/Gli1 signal pathway facilitates proliferation, invasion, and migration of cutaneous SCC through regulating VEGF.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  17. Article
  18. Article
  19. Article
  20. Antitumor effect of antiplatelet agents in gastric cancer cells: an in vivo and in vitro study.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2016
    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

7 authors at 1 institution in 1 country.

Hiroshi OkumuraDepartment of Digestive Surgery, Breast and Thyroid Surgery, Graduate School of Medical Sciences, Kagoshima University, Sakuragaoka 8-35-1, Kagoshima, 890-8520, Japan, hokumura@m.kufm.kagoshima-u.ac.jp.
Yasuto Uchikado
Tetsuro Setoyama
Masataka Matsumoto
Tetsuhiro Owaki
Sumiya Ishigami
Shoji Natsugoe
Kagoshima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review summarizes and evaluates the literature regarding the biomarkers for predicting the response and/or prognosis of esophageal squamous cell carcinoma (ESCC) patients treated with neoadjuvant chemoradiation therapy (CRT). There are seven categories of molecules known to correlate with the response and/or prognosis: tumor suppressors (p53, p21), cell cycle regulators (Cyclin D1, CDC25B, 14-3-3sigma), DNA repair molecules (p53R2, ERCC1), drug resistance proteins [metallothionein (MT)], angiogenic factors (VEGF), molecules involved in cell proliferation/invasion/metastasis (Ki-67, COX-2) and hedgehog signaling molecules (Gli-1). Of the above molecules, the tumor suppressor p53 is expected to be a representative biomarker for predicting the response and prognosis. The cell cycle markers CDC25B and 14-3-3sigma have potential as response biomarkers independent of the p53 status. The DNA repair markers, p53R2 or ERCC1, angiogenic molecule (VEGF), and hedgehog signaling pathway factor Gli-1 also have potential to predict the response and prognosis of ESCC. However, there are still many unanswered questions with regard to predicting the clinical effects of neoadjuvant CRT.

Indexed as

Chemoradiotherapy, AdjuvantNeoadjuvant TherapyBiomarkers, TumorCarcinoma, Squamous CellCell Cycle ProteinsCyclooxygenase 2DNA-Binding ProteinsEndonucleasesEsophageal NeoplasmsForecastingHumansKi-67 AntigenMeta-Analysis as TopicMetallothioneinPrognosisRibonucleotide ReductasesBiomarkers, TumorCell Cycle ProteinsCyclooxygenase 2DNA-Binding ProteinsEndonucleasesERCC1 protein, humanKi-67 AntigenMetallothioneinPTGS2 protein, humanRibonucleotide ReductasesRRM2B protein, humanTumor Suppressor Protein p53Vascular Endothelial Growth Factor A

Identifiers

PMID23605218
OpenAlexW1981301222

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.