Evidence map›Paper›PMID 24929677›Full record

ArticleBreast cancer research and treatment2014

Recurrent read-through fusion transcripts in breast cancer.

Katherine E Varley, Jason Gertz, Brian S Roberts, Nicholas S Davis, Kevin M Bowling, Marie K Kirby, Amy S Nesmith, Patsy G Oliver, William E Grizzle, Andres Forero and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 2% 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

120 citing papers in PubMed, 1 synthesis or guideline pooled it, 178 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Characteristics of fusion genes in breast cancer.Cancer cell international · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Dual roles of NScience China. Life sciences · 2025
    Article
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  16. Review
  17. Article
  18. Article
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  20. Article

60 more citing papers are in PubMed but not listed here.

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

13 authors at 2 institutions in 2 countries.

Katherine E VarleyHudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, AL, 35806, USA.
Jason Gertz
Brian S Roberts
Nicholas S Davis
Kevin M Bowling
Marie K Kirby
Amy S Nesmith
Patsy G Oliver
William E Grizzle
Andres Forero
Donald J Buchsbaum
Albert F LoBuglio
Richard M Myers
HudsonAlpha Institute for Biotechnology · USUniversity of Alabama at Birmingham · US

Funding

XRAY CRYSTALLOGRAPHYP30CA013148 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Robert S Welner · 1985 to 2026
$165.9M
UAB Rexinoids for Breast Cancer PreventionP50CA089019 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GRIZZLE, WILLIAM E. · 2000 to 2011
$26.0M
NCI NIH HHS P30 CA013148NCI NIH HHS P50 CA089019NCI NIH HHS P50CA089019
6 · The paper itself

Abstract

Read-through fusion transcripts that result from the splicing of two adjacent genes in the same coding orientation are a recently discovered type of chimeric RNA. We sought to determine if read-through fusion transcripts exist in breast cancer. We performed paired-end RNA-seq of 168 breast samples, including 28 breast cancer cell lines, 42 triple negative breast cancer primary tumors, 42 estrogen receptor positive (ER+) breast cancer primary tumors, and 56 non-malignant breast tissue samples. We analyzed the sequencing data to identify breast cancer associated read-through fusion transcripts. We discovered two recurrent read-through fusion transcripts that were identified in breast cancer cell lines, confirmed across breast cancer primary tumors, and were not detected in normal tissues (SCNN1A-TNFRSF1A and CTSD-IFITM10). Both fusion transcripts use canonical splice sites to join the last splice donor of the 5' gene to the first splice acceptor of the 3' gene, creating an in-frame fusion transcript. Western blots indicated that the fusion transcripts are translated into fusion proteins in breast cancer cells. Custom small interfering RNAs targeting the CTSD-IFITM10 fusion junction reduced expression of the fusion transcript and reduced breast cancer cell proliferation. Read-through fusion transcripts between adjacent genes with different biochemical functions represent a new type of recurrent molecular defect in breast cancer that warrant further investigation as potential biomarkers and therapeutic targets. Both breast cancer associated fusion transcripts identified in this study involve membrane proteins (SCNN1A-TNFRSF1A and CTSD-IFITM10), which raises the possibility that they could be breast cancer-specific cell surface markers.

Indexed as

Transcription, GeneticAlternative SplicingBase SequenceBreast NeoplasmsCell Line, TumorCell ProliferationFemaleGene ExpressionGene Expression ProfilingGenetic LociHumansMolecular Sequence DataOncogene Proteins, FusionOncogene Proteins, Fusion

Identifiers

PMID24929677
PMCPMC4085473
OpenAlexW2106425267

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.