Evidence map›Paper›PMID 23676193›Full record

ReviewAnnals of the New York Academy of Sciences2013

Functional genomics lead to new therapies in follicular lymphoma.

Elisa Oricchio, Hans-Guido Wendel

Open access · greenAbstract readReview
In one paragraph

Review in Annals of the New York Academy of Sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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.

Elisa OricchioCancer Biology & Genetics Program, Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA. oriccche@mskcc.org
Hans-Guido Wendel
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
The contribution of protein translation to tumorigenesisR01CA142798 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI WENDEL, HANS-GUIDO · 2010 to 2014
$1.9M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA142798NCI NIH HHS R01-CA142798-01
6 · The paper itself

Abstract

Recent technological advances allow analysis of genomic changes in cancer in unprecedented detail. The next challenge is to prioritize the multitude of genetic aberrations found and identify therapeutic opportunities. We recently completed a study that illustrates the use of unbiased genetic screens and murine cancer models to find therapeutic targets among complex genomic data. We genetically dissected the common deletion of chromosome 6q and identified the ephrin receptor A7 (EPHA7) as a tumor suppressor in lymphoma. Notably, EPHA7 encodes a soluble splice variant that acts as an extrinsic tumor suppressor. Accordingly, we developed an antibody-based strategy to specifically deliver EPHA7 back to tumors that have lost this gene. Recent sequencing studies have implicated EPHA7 in lung cancer and other tumors, suggesting a broader therapeutic potential for antibody-mediated delivery of this tumor suppressor for cancer therapy. Together, our comprehensive approach provides new insights into cancer biology and may directly lead to the development of new cancer therapies.

Indexed as

Chromosome DeletionDrug Delivery SystemsAnimalsAntibodies, MonoclonalAntineoplastic AgentsChromosomes, Human, Pair 6GenomicsHumansLymph NodesLymphoma, FollicularMutationNeoplasm ProteinsNeoplasmsProtein IsoformsReceptor, EphA7Antibodies, MonoclonalAntineoplastic AgentsNeoplasm ProteinsProtein IsoformsReceptor, EphA7genomic datamouse modeltherapies

Identifiers

PMID23676193
PMCPMC3987118
OpenAlexW1516321386

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.