Evidence map›Paper›PMID 25993170›Full record

ReviewAmerican Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting2015

Clinical tumor sequencing: opportunities and challenges for precision cancer medicine.

Senthilkumar Damodaran, Michael F Berger, Sameek Roychowdhury

Open access · greenAbstract readReview
In one paragraph

Review in American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

40 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Multi-Gene Next-Generation Sequencing Panel for Analysis ofInternational journal of molecular sciences · 2023
    Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Clinical cancer genomic profiling.Nature reviews. Genetics · 2021
    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

3 authors at 1 institution in 1 country.

Senthilkumar DamodaranFrom the Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, OH; Memorial Sloan Kettering Cancer Center, New York, NY; Department of Pharmacology, The Ohio State University, Columbus, OH.
Michael F BergerFrom the Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, OH; Memorial Sloan Kettering Cancer Center, New York, NY; Department of Pharmacology, The Ohio State University, Columbus, OH.
Sameek RoychowdhuryFrom the Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, OH; Memorial Sloan Kettering Cancer Center, New York, NY; Department of Pharmacology, The Ohio State University, Columbus, OH.
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Advances in tumor genome sequencing have enabled discovery of actionable alterations leading to novel therapies. Currently, there are approved targeted therapies across various tumors that can be matched to genomic alterations, such as point mutations, gene amplification, and translocations. Tools to detect these genomic alterations have emerged as a result of decreasing costs and improved throughput enabled by next-generation sequencing (NGS) technologies. NGS has been successfully utilized for developing biomarkers to assess susceptibility, diagnosis, prognosis, and treatment of cancers. However, clinical application presents some potential challenges in terms of tumor specimen acquisition, analysis, privacy, interpretation, and drug development in rare cancer subsets. Although whole-genome sequencing offers the most complete strategy for tumor analysis, its present utility in clinical care is limited. Consequently, targeted gene capture panels are more commonly employed by academic institutions and commercial vendors for clinical grade cancer genomic testing to assess molecular eligibility for matching therapies, whereas whole-exome and transcriptome (RNASeq) sequencing are being utilized for discovery research. This review discusses the strategies, clinical challenges, and opportunities associated with the application of cancer genomic testing for precision cancer medicine.

Indexed as

GenomicsHumansMolecular Targeted TherapyNeoplasmsPrecision MedicineSequence Analysis, DNA

Identifiers

PMID25993170
PMCPMC5557651
OpenAlexW1460474614

What OpenQuestion holds

Textmetadata
LicenceTDM
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.