Evidence map›Paper›PMID 33363385›Full record

ArticleOncoTargets and therapy2020

Mutational Characterization and Potential Prognostic Biomarkers of Chinese Patients with Esophageal Squamous Cell Carcinoma.

Nan Zhang, Junping Shi, Xiaoliang Shi, Wenting Chen, Junfeng Liu

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

30 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Ethnic genomic diversity in esophageal squamous cell carcinoma.World journal of gastrointestinal oncology · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Mutational Landscape of Recurrent/Metastatic Head and Neck Squamous Cell Carcinoma and Association with Immune Checkpoint Inhibitor Outcomes.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  9. Review
  10. Article
  11. Review
  12. Article
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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

5 authors at 2 institutions in 1 country.

Nan ZhangDepartment of Thoracic Surgery, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Junping ShiDepartment of Medicine, OrigiMed Co. Ltd, Shanghai, People's Republic of China.ORCID 0000-0001-9783-8296
Xiaoliang ShiDepartment of Medicine, OrigiMed Co. Ltd, Shanghai, People's Republic of China.
Wenting ChenDepartment of Medicine, OrigiMed Co. Ltd, Shanghai, People's Republic of China.
Junfeng LiuDepartment of Thoracic Surgery, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Unimed Medical Institute · CNHebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEsophageal squamous cell carcinoma (ESCC) is the most common type of esophageal cancer in China and the 5-year mortality rate is up to 70%. Studies on the ESCC genetic landscape are needed to further explore clinical therapeutic strategies. In this study, we evaluated the genetic landscape of ESCC to aid the search for clinical therapeutic strategies. PATIENTS AND

methodsA total of 225 ESCC patients were enrolled in this study. Deep sequencing of 450 cancer genes was performed on formalin-fixed paraffin-embedded tumor biopsies and matched blood samples from patients. Tumor mutational burden (TMB) was calculated using an algorithm developed in-house.

resultsOur results showed that the most commonly mutated genes in ESCC were

conclusionOur study revealed the ESCC mutational landscape in 225 Chinese patients and uncovered the potential prognosis biomarker for Chinese patients with ESCC.

Indexed as

biomarkerdeep sequencingesophageal cancergenomic variationtumor mutational burden

Identifiers

PMID33363385
PMCPMC7751839
OpenAlexW3110691976

What OpenQuestion holds

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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.