Evidence map›Paper›PMID 32403160›Full record

ArticleCancer science2020

High expression of CXCL14 is a biomarker of lung adenocarcinoma with micropapillary pattern.

Yuki Sata, Takahiro Nakajima, Masaki Fukuyo, Keisuke Matsusaka, Atsushi Hata, Junichi Morimoto, Bahityar Rahmutulla, Yuki Ito, Hidemi Suzuki, Ichiro Yoshino and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

18 citing papers in PubMed, 23 citations in OpenAlex.

  1. Analysis ofInternational journal of molecular sciences · 2026
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  13. Exosomal CXCL14 Contributes to M2 Macrophage Polarization through NF-Oxidative medicine and cellular longevity · 2022
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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 1 institution in 1 country.

Yuki SataDepartment of General Thoracic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Takahiro NakajimaDepartment of General Thoracic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Masaki FukuyoDepartment of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Keisuke MatsusakaDepartment of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Atsushi HataDepartment of General Thoracic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Junichi MorimotoDepartment of General Thoracic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Bahityar RahmutullaDepartment of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Yuki ItoDepartment of General Thoracic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Hidemi SuzukiDepartment of General Thoracic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Ichiro YoshinoDepartment of General Thoracic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.
Atsushi KanedaDepartment of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.ORCID https://orcid.org/0000-0002-6980-5515
Chiba University · JP

Funding

Chiba UniversityJapan Agency for Medical Research and Development 19ck0106263h0003Japan Society for the Promotion of Science 17K16605
6 · The paper itself

Abstract

Lung adenocarcinoma with micropapillary pattern (MPP) has an aggressive malignant behavior. Limited resection should be avoided because of its high recurrence rate. If adenocarcinoma with MPP is diagnosed preoperatively, the selection of proper treatment is possible. To explore a preoperative biomarker for diagnosing MPP, we undertook RNA sequencing analysis of 25 clinical samples as the training set, including 6 MPP, 16 other adenocarcinoma subtypes, and 3 normal lung tissues. Unsupervised hierarchical clustering analysis suggested a presence of subgroup with MPP showing different gene expression phenotype. We extracted differentially expressed genes with high expression levels in MPP samples, and chose VSIG1, CXCL14, and BAMBI as candidate biomarkers for MPP. Reverse transcription-quantitative PCR analysis confirmed a significantly higher expression of VSIG1 (P = .03) and CXCL14 (P = .02) in MPP than others. In a validation set of 4 MPP and 4 non-MPP samples, CXCL14 expression was validated to be significantly higher in MPP than in non-MPP (P = .04). Comparing a total of 10 MPP and 20 non-MPP samples, the area under the curve of CXCL14 to distinguish MPP from others was 0.89. The threshold value was 0.0116, corresponding to sensitivity 80% and specificity 90%. In immunostaining of CXCL14, the staining score was significantly higher in MPP cases than others, where not only the MPP component but also other components showed heterogeneous staining in adenocarcinoma tissues with MPP. Moreover, a higher staining score of CXCL14 was significantly associated with poorer prognosis in all patients (P = .01) or within cases in stage I-III (P = .01). In summary, we identified CXCL14 as a possible diagnostic biomarker of MPP.

Indexed as

Biomarkers, TumorGene ExpressionAdenocarcinoma of LungChemokines, CXCComputational BiologyFemaleGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansImmunohistochemistryKaplan-Meier EstimateLymphatic MetastasisMaleNeoplasm GradingNeoplasm StagingBiomarkers, TumorChemokines, CXCCXCL14 protein, humanbiomarkerCXCL14lung adenocarcinomamicropapillary patternRNA-seq

Identifiers

PMID32403160
PMCPMC7385370
OpenAlexW3024740357

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.