Evidence map›Paper›PMID 15361835›Full record

ArticleOncogene2004

Identification of cell surface and secreted proteins essential for tumor cell survival using a genetic suppressor element screen.

Marina S Gelman, X Katherine Ye, Robert Stull, David Suhy, Liang Jin, Dean Ng, Bruce Than, May Ji, Alison Pan, Paul Perez and 14 more

Abstract read
PubMed Publisher
In one paragraph

Article in Oncogene, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

24 authors at 1 institution in 1 country.

Marina S GelmanPPD Discovery, Inc., 1505 O'Brien Drive, Menlo Park, CA 94025, USA.
X Katherine Ye
Robert Stull
David Suhy
Liang Jin
Dean Ng
Bruce Than
May Ji
Alison Pan
Paul Perez
Yan Sun
Patricia Yeung
Luz Maria Garcia
Rachel Harte
Yan Lu
Elizabeth Lamar
Roya Tavassoli
Scot Kennedy
Stephen Osborn
Daniel J Chin
Kay Meshaw
Tatyana A Holzmayer
Sergey A Axenovich
Arie Abo
Pharmaceutical Product Development (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Survival factors play critical roles in regulating cell growth in normal and cancer cells. We designed a genetic screen to identify survival factors which protect tumor cells from apoptosis. A retroviral expression library of random cDNA fragments was constructed from cancer cells and used to transduce the colon carcinoma cell line HCT116. Recipient cells were functionally selected for induction of caspase 3-mediated apoptosis. Analyses of over 10,000 putative genetic suppression elements (GSEs) sequences revealed cognate gene candidates that are implicated in apoptosis. We further analysed 26 genes encoding cell surface and secreted proteins that can potentially serve as targets for therapeutic antibodies. Tetracycline-inducible GSEs from several gene candidates induced apoptosis in stable HCT 116 cell lines. Similar phenotypes were caused by RNAi derived from the same genes. Our data suggest requirement for the cell surface targets IGF2R, L1CAM and SLC31A1 in tumor cell growth in vitro, and suggests that IGF2R is required for xenograft tumor growth in a mouse model.

Indexed as

ApoptosisAnimalsCaspase 3CaspasesCell DivisionCell Line, TumorCell SurvivalColonic NeoplasmsHumansMiceNeoplasm TransplantationReceptor, IGF Type 2RNA, Small InterferingTransduction, GeneticTransplantation, HeterologousCASP3 protein, humanCasp3 protein, mouseCaspase 3CaspasesReceptor, IGF Type 2RNA, Small Interfering

Identifiers

PMID15361835
OpenAlexW1967536682

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.