Evidence map›Paper›PMID 26391246›Full record

ReviewDer Pathologe2015

[Non-small cell lung cancer. New biomarkers for diagnostics and therapy].

G Kayser

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Der Pathologe, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05778045 (Investigating Patients' Medical Study Experiences in Non-Small Cell Lung Cancer Clinical Trials to Identify Influencing Trends), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 29% 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.

NCT05778045 unknown statusnot on this mapstarted 2024, after this paper: background citation

Investigating Patients' Medical Study Experiences in Non-Small Cell Lung Cancer Clinical Trials to Identify Influencing Trends

TypeobservationalSponsorPower Life Sciences Inc.Ran2024 to 2026Enrolled500ConditionsNon-Small Cell Lung Cancer
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. [A Case of Combined Small Cell Lung Cancer and Literature Review].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025
    Review
  2. Review
  3. Article
  4. 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

1 author at 1 institution in 1 country.

G KayserInstitut für Klinische Pathologie, Department für Pathologie, Universitätsklinikum Freiburg, Breisacher Strasse 115a, 79106, Freiburg, Deutschland. gian.kayser@uniklinik-freiburg.de.
University Medical Center Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although advances in targeted therapies have recently been achieved, lung cancer remains a major health burden worldwide. It is therefore pivotal to investigate the biology of lung cancers in order to design new therapeutic strategies. To address this a multi-antibody assay has been developed for the classification of non-small cell lung cancer (NSCLC). Using this assay the pathologist is able to reliably subtype NSCLC into adenocarcinoma, squamous cell carcinoma, large cell neuroendocrine carcinoma (LCNEC) and NSCLC not otherwise specified (NOS) large cell carcinoma, as required by the new World Health Organization (WHO) classification of 2015, on a single glass slide. In our cohort this classification algorithm showed significant differences in overall survival of the therapeutically important subgroups, which reflects the accuracy of the assay. To investigate the biology of NSCLC subtypes further, several proteins involved in carbohydrate metabolism were analyzed. In a hierarchical cluster analysis it could be shown that adenocarcinoma and squamous cell carcinoma harbor different metabolic shifts and, furthermore, that two distinct groups of squamous cell carcinoma seem to exist, a hypoxia and a transporter type. These results could be verified by analysis of mRNA data obtained from the TCGA database. As a close association between tumor metabolism and anti-tumor immune response has been reported, the lymphocytic infiltrates were characterized with respect to T-cells and their location within the tumor. Besides a negative correlation of lymphocyte density and expression of lactate dehydrogenase, it could be shown that depending on the location and type a high lymphocyte density indicates a significantly better overall survival of NSCLC patients. Investigating the expression of PD-L1 in NSCLC cells, a significant correlation with lymphocyte density was detected. In conclusion, the multi-antibody assay is a new and economically attractive tool for a reliable subclassification of NSCLC. This subtyping results in a better biological stratification of NSCLC and is the basis not only for palliative treatment options but also for further investigations on NSCLC biology. It was discovered that metabolic changes during malignant transformation are different in adenocarcinoma and squamous cell carcinoma. The latter group can be further divided into a hypoxia and a transporter type. Anti-tumor immune responses are influenced by the metabolic shift in NSCLC and lymphocyte density with respect to the location within the tumor is of prognostic significance in NSCLC. Therefore, the results contribute to a better biological understanding of NSCLC and may lead to new treatment options by targeting metabolic enzymes or triggering anti-tumor responses.

Indexed as

Antibodies, NeoplasmBiomarkers, TumorCarcinoma, Non-Small-Cell LungCell Transformation, NeoplasticDisease ProgressionHumansImmunohistochemistryLungLung NeoplasmsLymphocyte CountLymphocytesNeoplasm StagingPrognosisAntibodies, NeoplasmBiomarkers, TumorImmunohistochemistryLymphocytesMetabolismMulti-antibody assayTumor immunology

Identifiers

PMID26391246
OpenAlexW2178591885

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.