Evidence map›Paper›PMID 35117606›Full record

ArticleTranslational cancer research2020

High programmed death-ligand 1 expression is a poor prognostic indicator for esophageal squamous cell carcinoma and is correlated with two-field lymph node metastasis.

Mingqiang Liang, Fengqiang Yu, Weidong Wu, Hao Chen, Bin Zheng, Wei Zheng, Yong Zhu, Chun Chen

Open access · diamondAbstract read
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Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 57% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Mingqiang Liang *Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China.
Fengqiang Yu *Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China.
Weidong WuDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China.
Hao ChenDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China.
Bin ZhengDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China.
Wei ZhengDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China.
Yong ZhuDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China.
Chun ChenDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, China.
Union Hospital · CNFujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study detected programmed death-ligand 1 (PD-L1) expression in esophageal squamous cell carcinoma (ESCC) samples and investigated the association between the clinicopathological features of ESCC and PD-L1 expression. Furthermore, this study evaluated whether lymph node metastasis (LNM) status affected the prognosis of ESCC patients with diverse PD-L1 expression.

methodsA total of 108 ESCC paraffin-embedded specimens were collected and further used to detect the expression of PD-L1 by immunohistochemistry. The correlation between PD-L1 expression and clinicopathological characteristics and its prognostic significance were evaluated. Finally, the clinical outcomes were investigated in the subgroup of patients with simultaneous high PD-L1 expression and LNM.

resultsPD-L1 expression was observed in 85.2% of ESCC cases, 43.5% of which showed high expression. Only N stage (P=0.038) was associated with high PD-L1 expression. Univariate and multivariate Cox regression analyses showed that T stage (P=0.012), N stage (P=0.029), and PD-L1 expression (P=0.044) were independent prognostic factors in ESCC patients. Moreover, further analysis of the N stage subgroup showed that skip LNM (P=0.286) or laryngeal nerve LNM (P=0.387) showed no prognostic significance, while two-field LNM was highly correlated with a worser 5-year overall survival (P=0.037).

conclusionsHigh PD-L1 expression was significantly correlated with N stage and can be used as an independent prognostic biomarker in ESCC. Its expression level can also be used to guide appropriate lymph node dissection in ESCC.

Indexed as

Esophageal squamous cell carcinoma (ESCC)lymph node metastasis (LNM)prognosisprogrammed death-ligand 1 (PD-L1)

Identifiers

PMID35117606
PMCPMC8798649
OpenAlexW3015452424

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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.