Evidence map›Paper›PMID 29911108›Full record

ReviewAnnals of translational medicine2018

Emerging application of genomics-guided therapeutics in personalized lung cancer treatment.

Aubhishek Zaman, Trever G Bivona

Open access · hybridAbstract readReview
In one paragraph

Review in Annals of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.0field-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

21 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Hippo Pathway in Regulating Drug Resistance of Glioblastoma.International journal of molecular sciences · 2021
    Review
  10. Targeting AXL in NSCLC.Lung Cancer (Auckland, N.Z.) · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

Aubhishek ZamanDepartment of Medicine, University of California, San Francisco, CA, USA.
Trever G BivonaDepartment of Medicine, University of California, San Francisco, CA, USA.
UCSF Helen Diller Family Comprehensive Cancer Center · US

Funding

UCSF Project 1U54CA224081 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Trever G Bivona · 2017 to 2026
$12.9M
Characterization of YAP as a rational companion target in lung cancerR01CA204302 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Trever G Bivona · 2017 to 2026
$3.7M
Rational Combined Inhibition of NF-kB and EGFR to Optimize Lung Cancer TreatmentR01CA169338 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BIVONA, TREVER G · 2013 to 2023
$3.4M
Optimizing biologically-based rational polytherapy in ALK+ lung cancerR01CA211052 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BIVONA, TREVER G · 2017 to 2021
$1.8M
NCI NIH HHS R01 CA169338NCI NIH HHS R01 CA204302NCI NIH HHS R01 CA211052NCI NIH HHS U54 CA224081
6 · The paper itself

Abstract

In lung cancer, genomics-driven comprehensive molecular profiling has identified novel chemically and immunologically addressable vulnerabilities, resulting in an increasing application of precision medicine by targeted inactivation of tumor oncogenes and immunogenic activation of host anti-tumor surveillance as modes of treatment. However, initially profound response of these targeted therapies is followed by relapse due to therapy-resistant residual disease states. Although distinct mechanisms and frameworks for therapy resistance have been proposed, accounting for and upfront prediction of resistance trajectories has been challenging. In this review, we discuss in both non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC), the current standing, and challenges associated with genomics-guided strategies for personalized therapy against both oncogenic alterations as well as post-therapy resistance mechanisms. In NSCLC, we catalog the targeted therapy approaches against most notable oncogenic alterations such as epidermal growth factor receptor (EGFR), serine/threonine-protein kinase b-raf (BRAF), Kirsten rat sarcoma viral proto-oncogene (KRAS), anaplastic lymphoma kinase (ALK), ROS1 proto-oncogene receptor tyrosine kinase (ROS1). For SCLC, currently highly recalcitrant to targeted therapy, we enumerate a range of exciting and maturing precision medicine approaches. Furthermore, we discuss a number of immunotherapy approaches, in combination or alone, that are being actively pursued clinically in lung cancer. This review not only highlights common mechanistic themes underpinning different classes of resistance and discusses tumor heterogeneity as a source of residual disease, but also discusses potential ways to overcome these barriers. We emphasize how an extensive understanding of these themes can predict and improve therapeutic strategies, such as through poly-therapy approaches, to forestall tumor evolution upfront.

Indexed as

drug resistancegenomicsLung cancerprecision medicine

Identifiers

PMID29911108
PMCPMC5985272
OpenAlexW2799579165

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.