Evidence map›Paper›PMID 25135367›Full record

ReviewNature reviews. Clinical oncology2014

Precision therapy for lymphoma--current state and future directions.

Andrew M Intlekofer, Anas Younes

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
9.7field-weighted citation impact, top 1% 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

43 citing papers in PubMed, 89 citations in OpenAlex.

  1. Review
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  9. Review
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  11. LBD: a manually curated database of experimentally validated lymphoma biomarkers.Database : the journal of biological databases and curation · 2022
    Article
  12. Article
  13. Review
  14. Review
  15. Preserving Single Cells in Space and Time for Analytical Assays.Trends in analytical chemistry : TRAC · 2020
    Article
  16. Article
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  19. Article
  20. A selective c-Met and Trks inhibitor Indo5 suppresses hepatocellular carcinoma growth.Journal of experimental & clinical cancer research : CR · 2019
    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.

Andrew M IntlekoferLymphoma Service, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, Box 330, New York, NY 10065, USA.
Anas YounesLymphoma Service, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, Box 330, New York, NY 10065, USA.
Memorial Sloan Kettering Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern advances in genomics and cancer biology have produced an unprecedented body of knowledge regarding the molecular pathogenesis of lymphoma. The diverse histological subtypes of lymphoma are molecularly heterogeneous, and most likely arise from distinct oncogenic mechanisms. In parallel to these advances in lymphoma biology, several new classes of molecularly targeted agents have been developed with varying degrees of efficacy across the different types of lymphoma. In general, the development of new drugs for treating lymphoma has been mostly empiric, with a limited knowledge of the molecular target, its involvement in the disease, and the effect of the drug on the target. Thus, the variability observed in clinical responses likely results from underlying molecular heterogeneity. In the era of personalized medicine, the challenge for the treatment of patients with lymphoma will involve correctly matching a molecularly targeted therapy to the unique genetic and molecular composition of each individual lymphoma. In this Review, we discuss current and emerging biomarkers that can guide treatment decisions for patients with lymphoma, and explore the potential challenges and strategies for making biomarker-driven personalized medicine a reality in the cure and management of this disease.

Indexed as

Biomarkers, TumorGenetic HeterogeneityGenomicsHumansLymphomaMolecular Targeted TherapyMutationPrecision MedicineBiomarkers, Tumor

Identifiers

PMID25135367
OpenAlexW1500781157

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.