Evidence map›Paper›PMID 25755755›Full record

ArticleInternational journal of clinical and experimental pathology2015

Serum lemur tyrosine kinase-3: a novel biomarker for screening primary non-small cell lung cancer and predicting cancer progression.

Kexin Zhang, Lujun Chen, Haifeng Deng, Yongyi Zou, Juan Liu, Hongbing Shi, Bin Xu, Mingyang Lu, Chong Li, Jingting Jiang and 1 more

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. The Inhibitory Properties of a Novel, Selective LMTK3 Kinase Inhibitor.International journal of molecular sciences · 2023
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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.

Kexin ZhangDepartment of Respiratory, Third Affiliated Hospital of Soochow University Changzhou 213003, China.
Lujun ChenDepartment of Tumor Biological Treatment, Third Affiliated Hospital of Soochow University Changzhou 213003, China.
Haifeng DengDepartment of Tumor Biological Treatment, Third Affiliated Hospital of Soochow University Changzhou 213003, China.
Yongyi ZouDepartment of Respiratory, Third Affiliated Hospital of Soochow University Changzhou 213003, China.
Juan LiuDepartment of Tumor Biological Treatment, Third Affiliated Hospital of Soochow University Changzhou 213003, China.
Hongbing ShiDepartment of Tumor Biological Treatment, Third Affiliated Hospital of Soochow University Changzhou 213003, China.
Bin XuDepartment of Tumor Biological Treatment, Third Affiliated Hospital of Soochow University Changzhou 213003, China.
Mingyang LuDepartment of Tumor Biological Treatment, Third Affiliated Hospital of Soochow University Changzhou 213003, China.
Chong LiDepartment of Respiratory, Third Affiliated Hospital of Soochow University Changzhou 213003, China.
Jingting JiangDepartment of Tumor Biological Treatment, Third Affiliated Hospital of Soochow University Changzhou 213003, China.
Zhigang WangDepartment of Respiratory, Third Affiliated Hospital of Soochow University Changzhou 213003, China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to determine the expression level of serum soluble lemur tyrosine kinase-3 (sLMTK3) in human non-small cell lung cancer (NSCLC), and to examine whether the s sLMTK3 level could be used as a biomarker to screen primary NSCLC and to predict lung cancer progression.

methodsSerum levels of sLMTK3 in 67 patients with primary NSCLC, 28 patients with lung benign lesion, and 53 healthy volunteers were measured by sandwich ELISA. LMTK3 protein expression in NSCLC tissues and normal lung tissues was also detected by using immunohistochemical staining. Receiver operating characteristic (ROC) curve was selected to evaluate the sensitivity and the specificity of serum sLMTK3 level.

resultsThe mean concentration of sLMTK3 in NSCLC group was significantly higher than in the lung benign lesion group (P < 0.001) and the healthy control group (P < 0.001). Higher sLMTK3 level was correlated with age (P = 0.013), tumor-node-metastasis (TNM) stage (P < 0.001), and lymph node metastasis (P < 0.001) of NSCLC. In contrast to the normal lung tissues, increased LMTK3 expression was found in the NSCLC tissues, and was mainly located on the cytoplasm and the nuclei of cancer cells. For separating NSCLC from control group, the corresponding areas under the ROC curve (AUC) were 0.947 for sLMTK3 and 0.804 for CEA. With cutoffs of 10.05 ng/ml for sLMTK3 and 5.0 ng/ml for CEA respectively, the sensitivity and the specificity of sLMTK3 and CEA were, 80.60% and 97.53%, 35.82% and 96.30%, respectively, indicating better diagnostic value of sLMTK3.

conclusionsThe sLMTK3 level was significantly increased in human NSCLC, and could be used as a potential and valuable biomarker for screening primary NSCLC and for predicting the progression of patients with this malignancy.

Indexed as

AdultAgedArea Under CurveBiomarkers, TumorCarcinoma, Non-Small-Cell LungDisease ProgressionEnzyme-Linked Immunosorbent AssayFemaleHumansImmunohistochemistryLung NeoplasmsMaleMembrane ProteinsMiddle AgedPrognosisProtein Serine-Threonine KinasesBiomarkers, TumorLMTK3 protein, humanMembrane ProteinsProtein Serine-Threonine Kinasesestrogen receptorLemur tyrosine kinase-3non-small cell lung cancertumor biomarker

Identifiers

PMID25755755
PMCPMC4348877
OpenAlexW62550469

What OpenQuestion holds

Textmetadata
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.