Evidence map›Paper›PMID 29218272›Full record

ReviewTranslational lung cancer research2017

Blood-based biomarkers in lung cancer: prognosis and treatment decisions.

Meng Xu-Welliver, David P Carbone

Open access · hybridAbstract readReview
In one paragraph

Review in Translational lung cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

28 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Prognostic significance of a complement factor H autoantibody in early stage NSCLC.Cancer biomarkers : section A of Disease markers · 2022
    Article
  8. Monocyte Count as a Prognostic Biomarker in Patients with Idiopathic Pulmonary Fibrosis.American journal of respiratory and critical care medicine · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Blood-based Biomarkers for Early Diagnosis of Lung Cancer: A Review Article.JNMA; journal of the Nepal Medical Association · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

2 authors at 1 institution in 1 country.

Meng Xu-WelliverDepartment of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, USA.
David P CarboneDivision of Medical Oncology, Department of Medicine, The Ohio State University Wexner Medical Center, Columbus, USA.
The Ohio State University Wexner Medical Center · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
NCI NIH HHS P30 CA016058
6 · The paper itself

Abstract

Despite recent advances, non-small cell lung cancer (NSCLC) remains a devastating disease with overall poor prognosis. Major contributing factors include obstacles to diagnosing the disease early in its course during the asymptomatic stage as well as diversity and complexity of its biology underlying tumorigenesis and tumor progression. Advances in molecularly targeted therapies which drives the development of personalized cancer care require precise and comprehensive understanding of tumor biology, not only at the time of diagnosis but also during treatment course and surveillance. As lung tumor tissue can be difficult to obtain without invasive and potentially risky procedures, it is difficult to monitor treatment response with serial tissue biopsies. Development of non-invasive but reliable blood based tumor markers has become an important research area. In this review, we focus on the following circulating biomarkers that have been identified in recent years: circulating tumor cells (CTCs); circulating cell-free nucleic acids, such as circulating tumor DNA (ctDNA) and microRNA (miR); and other biomarkers such as genomic and proteomic features. These biomarkers not only have prognostic values, but also can help guild treatment decisions by monitoring tumor burden, detecting minimal residual disease and/or recurrent disease, as well as monitoring evolution of genetic alterations throughout the treatment course.

Indexed as

circulating tumor cells (CTCs)Circulating tumor DNA (ctDNA)liquid biopsymicroRNA (miR)prognostic biomarker

Identifiers

PMID29218272
PMCPMC5709136
OpenAlexW2764224569

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.