Evidence map›Paper›PMID 31771653›Full record

ReviewCancer communications (London, England)2019

The immune landscape of esophageal cancer.

Tu-Xiong Huang, Li Fu

Open access · goldAbstract readReview
In one paragraph

Review in Cancer communications (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 162 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
162citing papers in PubMed, 4 pooled it
10.7field-weighted citation impact, top 1% 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

162 citing papers in PubMed, 4 syntheses or guidelines pooled it, 261 citations in OpenAlex.

  1. Pooled it
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  9. Clinical significance of CD161Journal for immunotherapy of cancer · 2026
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  12. Review
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  16. INHBA: A Protein-coding Gene Closely Related to Tumour Diseases.Current topics in medicinal chemistry · 2026
    Review
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  18. Review
  19. Article
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102 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Tu-Xiong HuangGuangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology and Shenzhen International Cancer Center, Shenzhen University Health Science Center, Shenzhen, 518060, Guangdong, P. R. China.
Li FuGuangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pathology and Shenzhen International Cancer Center, Shenzhen University Health Science Center, Shenzhen, 518060, Guangdong, P. R. China. gracelfu@szu.edu.cn.ORCID 0000-0003-2643-6278
Shenzhen University Health Science Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal cancer (EC) seriously threatens human health, and a promising new avenue for EC treatment involves cancer immunotherapy. To improve the efficacy of EC immunotherapy and to develop novel strategies for EC prognosis prediction or clinical treatment, understanding the immune landscapes in EC is required. EC cells harbor abundant tumor antigens, including tumor-associated antigens and neoantigens, which have the ability to initiate dendritic cell-mediated tumor-killing cytotoxic T lymphocytes in the early stage of cancer development. As EC cells battle the immune system, they obtain an ability to suppress antitumor immunity through immune checkpoints, secreted factors, and negative regulatory immune cells. Cancer-associated fibroblasts also contribute to the immune evasion of EC cells. Some factors of the immune landscape in EC tumor microenvironment are associated with cancer development, patient survival, or treatment response. Based on the immune landscape, peptide vaccines, adoptive T cell therapy, and immune checkpoint blockade can be used for EC immunotherapy. Combined strategies are required for better clinical outcome in EC. This review provides directions to design novel and effective strategies for prognosis prediction and immunotherapy in EC.

Indexed as

Esophageal NeoplasmsHumansImmunotherapyPrognosisEsophageal cancerImmune landscapeImmunotherapyPrognosis

Identifiers

PMID31771653
PMCPMC6878621
OpenAlexW2991624576

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.