Evidence map›Paper›PMID 27411924›Full record

ArticlePathology oncology research : POR2017

Biologic Evaluation of Diabetes and Local Recurrence in Non-Small Cell Lung Cancer.

Xuebin Yang, Yongjun Liu, Haresh Mani, Jeffrey Olson, Gary Clawson, Carla Caruso, Richard Bruggeman, John M Varlotto, Dani S Zander, Negar Rassaei

Abstract read
PubMed Publisher
In one paragraph

Article in Pathology oncology research : POR, 2017. 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
0.7field-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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Journal of Cancer · 2021
    Article
  10. Diabetes and Lung Disease: A Neglected Relationship.The review of diabetic studies : RDS · 2019
    Review
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

10 authors at 2 institutions in 1 country.

Xuebin YangDepartment of Pathology and Laboratory Medicine, Penn State Hershey Medical center, 500 University Drive, Hershey, PA, 17033-0850, USA.
Yongjun LiuDepartment of Pathology and Laboratory Medicine, Penn State Hershey Medical center, 500 University Drive, Hershey, PA, 17033-0850, USA.
Haresh ManiDepartment of Pathology and Laboratory Medicine, Penn State Hershey Medical center, 500 University Drive, Hershey, PA, 17033-0850, USA.
Jeffrey OlsonPenn State College of Medicine, Hershey, PA, USA.
Gary ClawsonDepartment of Pathology and Laboratory Medicine, Penn State Hershey Medical center, 500 University Drive, Hershey, PA, 17033-0850, USA.
Carla CarusoDepartment of Pathology and Laboratory Medicine, Penn State Hershey Medical center, 500 University Drive, Hershey, PA, 17033-0850, USA.
Richard BruggemanDepartment of Pathology and Laboratory Medicine, Penn State Hershey Medical center, 500 University Drive, Hershey, PA, 17033-0850, USA.
John M VarlottoDepartment of Radiation Oncology, University of Massachusetts Medical School, Worcester, MA, USA.
Dani S ZanderDepartment of Pathology and Laboratory Medicine, Penn State Hershey Medical center, 500 University Drive, Hershey, PA, 17033-0850, USA.
Negar RassaeiDepartment of Pathology and Laboratory Medicine, Penn State Hershey Medical center, 500 University Drive, Hershey, PA, 17033-0850, USA. nrassaei@hmc.psu.edu.
Penn State Milton S. Hershey Medical Center · USUniversity of Massachusetts Chan Medical School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A recent multicenter study led by our institution demonstrated that local recurrence of non-small cell lung cancer (NSCLC) was significantly more frequent in patients with diabetes, raising the possibility of different tumor biology in diabetics. Epithelial-to-mesenchymal transition (EMT) plays a key role in local tumor recurrence and metastasis. In the present study, we investigated differences of tumor microenvironment between patients with and without diabetes by examining expression of EMT markers. Seventy-nine NSCLC patients were selected from the cohort of our early multicenter study. These patients were classified into 4 groups: 39 with adenocarcinoma with (n = 19) and without (n = 20) diabetes, and 40 with squamous cell carcinoma with (n = 20) and without (n = 20) diabetes. Immunohistochemical expression of eight EMT markers was analyzed, including transforming growth factor-beta (TGF-β), epidermal growth factor receptor (EGFR), insulin-like growth factor 1 receptor (IGF-1R), vimentin, E-cadherin, N-cadherin, HtrA1, and beta-catenin. Five markers (E-cadherin, HtrA1, TGF-β, IGF-1R and vimentin) demonstrated significantly higher expression in diabetics than in non-diabetics in both histology types. N-cadherin had higher expression in diabetics, though the difference did not reach statistical significance. EGFR showed a higher expression in diabetics in squamous cell carcinoma only. Beta-catenin was the only marker with no difference in expression between diabetics versus non-diabetics. Our findings suggest that diabetes is associated with enhanced EMT in NSCLC, which may contribute to growth and invasiveness of NSCLC.

Indexed as

AdenocarcinomaAgedbeta CateninBiomarkers, TumorCadherinsCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellDiabetes MellitusEpithelial-Mesenchymal TransitionErbB ReceptorsFemaleGene Expression Regulation, NeoplasticHumansLung NeoplasmsMaleNeoplasm Recurrence, Localbeta CateninBiomarkers, TumorCadherinsErbB ReceptorsTransforming Growth Factor betaVimentinDiabetesEpithelial-to-mesenchymal transitionNon-small cell lung cancer

Identifiers

PMID27411924
OpenAlexW2472799221

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.