Evidence map›Paper›PMID 26629419›Full record

ReviewTranslational lung cancer research2015

Lung cancer biomarkers, targeted therapies and clinical assays.

Jai N Patel, Jennifer L Ersek, Edward S Kim

Open access · greenAbstract readReview
In one paragraph

Review in Translational lung cancer research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. The emergence of nanoporous materials in lung cancer therapy.Science and technology of advanced materials · 2022
    Review
  8. Article
  9. Article
  10. Article
  11. Costs of Biopsy and Complications in Patients with Lung Cancer.ClinicoEconomics and outcomes research : CEOR · 2021
    Article
  12. Progress in extracellular vesicle biology and their application in cancer medicine.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2020
    Review
  13. Article
  14. Serum miR-342-3p is a novel diagnostic and prognostic biomarker for non-small cell lung cancer.International journal of clinical and experimental pathology · 2018
    Article
  15. Article
  16. FluorescenceOncology letters · 2016
    Article
  17. Article
  18. 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

3 authors at 1 institution in 1 country.

Jai N PatelLevine Cancer Institute, Carolinas HealthCare System, Charlotte, NC, USA.
Jennifer L ErsekLevine Cancer Institute, Carolinas HealthCare System, Charlotte, NC, USA.
Edward S KimLevine Cancer Institute, Carolinas HealthCare System, Charlotte, NC, USA.
Levine Cancer Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Until recently, the majority of genomic cancer research has been in discovery and validation; however, as our knowledge of tumor molecular profiling improves, the idea of genomic application in the clinic becomes increasingly tangible, paralleled with the drug development of newer targeted therapies. A number of profiling methodologies exist to identify biomarkers found within the patient (germ-line DNA) and tumor (somatic DNA). Subsequently, commercially available clinical assays to test for both germ-line and somatic alterations that are prognostic and/or predictive of disease outcome, toxicity or treatment response have significantly increased. This review aims to summarize clinically relevant cancer biomarkers that serve as targets for therapy and their potential relationship to lung cancer. In order to realize the full potential of genomic cancer medicine, it is imperative that clinicians understand these intricate molecular pathways, the therapeutic implication of mutations within these pathways, and the availability of clinical assays to identify such biomarkers.

Indexed as

Assaybiomarkerlung cancermutationpharmacogenetic

Identifiers

PMID26629419
PMCPMC4630522
OpenAlexW1906201191

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.