Evidence map›Paper›PMID 26771842›Full record

ArticleOncotarget2016

CD68 and interleukin 13, prospective immune markers for esophageal squamous cell carcinoma prognosis prediction.

Jian Li, Bao-Zhu Zhang, Yan-Ru Qin, Jiong Bi, Hai-Bo Liu, Yan Li, Mu-Yan Cai, Stephanie Ma, Kwok Wah Chan, Dan Xie and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Prognostic Role of CD68British journal of biomedical science · 2023
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  15. Decreased expression ofCancer management and research · 2018
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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

11 authors at 8 institutions in 2 countries.

Jian LiState Key Laboratory of Oncology in Southern China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Bao-Zhu ZhangState Key Laboratory of Oncology in Southern China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Yan-Ru QinDepartment of Clinical Oncology, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, China.
Jiong BiDepartment of Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Hai-Bo LiuState Key Laboratory of Oncology in Southern China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Yan LiState Key Laboratory of Oncology in Southern China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Mu-Yan CaiState Key Laboratory of Oncology in Southern China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Stephanie MaDepartment of Anatomy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Kwok Wah ChanDepartment of Pathology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Dan XieState Key Laboratory of Oncology in Southern China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Xin-Yuan GuanState Key Laboratory of Oncology in Southern China, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Sun Yat-sen University Cancer Center · CNChinese University of Hong Kong · CNFirst Affiliated Hospital of Zhengzhou University · CNGuangzhou Medical University · CNSun Yat-sen Memorial Hospital · CNSun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOncology immunity was reported to play a key role in cancer development and progression, so we investigated the prediction role of several immune markers in esophageal squamous cell carcinoma (ESCC) patients after operation in this study. PATIENTS AND

methods66 primary ESCC tumor tissues and four sets of tissue microarrays including 705 primary ESCC tumor tissues from four centers were collected and analyzed. Expressions of several immune markers in ESCC tumor tissue were detected with immunohistochemistry staining. Their distribution densities were analyzed with InForm™ 2.0.1 software. All statistic analyses were performed with SPSS16.0 and Stata version 10.0.

resultsSurvival analyses assessed by Kaplan-Meier plots and log-rank tests demonstrated that densities of CD68 and interleukin 13 (IL-13) in tumor stroma were positively correlated with the overall survival of ESCC patients after operation (p < 0.01 for CD68, p < 0.001 for IL-13). Further, a model based on tumor stroma densities of CD68 and IL-13 was constructed and it could significantly classify patients with poor or good prognosis. This model could further identify high-risk group and low-risk group at the same Tumor lymph Nodes Metastases (TNM) stage. Lastly, a more accuracy model based on TNM stage, densities of CD68 and IL-13 was constructed to predict the prognosis of ESCC patient after operation.

conclusionCombining the TNM staging system and densities of CD68 and IL-13 could substantially improve the prognosis prediction accuracy of ESCC patient after operation, which might be an excellent tool for selecting patients for individualized therapy in future.

Indexed as

AdultAgedAntigens, CDAntigens, Differentiation, MyelomonocyticArea Under CurveBiomarkers, TumorCarcinoma, Squamous CellCD68 MoleculeEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaFemaleHumansInterleukin-13Kaplan-Meier EstimateMaleMiddle AgedAntigens, CDAntigens, Differentiation, MyelomonocyticBiomarkers, TumorCD68 antigen, humanCD68 MoleculeIL13 protein, humanInterleukin-13CD68ESCCIL-13macrophageprognosis

Identifiers

PMID26771842
PMCPMC4941258
OpenAlexW2296115899

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.