Evidence map›Paper›PMID 24280411›Full record

ArticleOncotarget2013

In situ mutation detection and visualization of intratumor heterogeneity for cancer research and diagnostics.

Ida Grundberg, Sara Kiflemariam, Marco Mignardi, Juliana Imgenberg-Kreuz, Karolina Edlund, Patrick Micke, Magnus Sundström, Tobias Sjöblom, Johan Botling, Mats Nilsson

Open access · hybridAbstract read
In one paragraph

Article in Oncotarget, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

29 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Review
  3. Improving Spatial Transcriptomics with Dual-Color Coding and Cell Painting.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  4. Review
  5. Predicting Molecular Subtype and Survival of Rhabdomyosarcoma Patients Using Deep Learning of H&E Images: A Report from the Children's Oncology Group.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
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  16. Article
  17. Review
  18. Article
  19. Simultaneous Single-CellJournal of virology · 2017
    Article
  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

10 authors at 3 institutions in 2 countries.

Ida GrundbergDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Rudbeck Laboratory.
Sara Kiflemariam
Marco Mignardi
Juliana Imgenberg-Kreuz
Karolina Edlund
Patrick Micke
Magnus Sundström
Tobias Sjöblom
Johan Botling
Mats Nilsson
Science for Life Laboratory · SEOlink Bioscience (Sweden) · SETU Dortmund University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current assays for somatic mutation analysis are based on extracts from tissue sections that often contain morphologically heterogeneous neoplastic regions with variable contents of normal stromal and inflammatory cells, obscuring the results of the assays. We have developed an RNA-based in situ mutation assay that targets oncogenic mutations in a multiplex fashion that resolves the heterogeneity of the tissue sample. Activating oncogenic mutations are targets for a new generation of cancer drugs. For anti-EGFR therapy prediction, we demonstrate reliable in situ detection of KRAS mutations in codon 12 and 13 in colon and lung cancers in three different types of routinely processed tissue materials. High-throughput screening of KRAS mutation status was successfully performed on a tissue microarray. Moreover, we show how the patterns of expressed mutated and wild-type alleles can be studied in situ in tumors with complex combinations of mutated EGFR, KRAS and TP53. This in situ method holds great promise as a tool to investigate the role of somatic mutations during tumor progression and for prediction of response to targeted therapy.

Indexed as

CodonColonic NeoplasmsDNA Mutational AnalysisGenes, erbB-1Genes, p53High-Throughput Nucleotide SequencingHumansLung NeoplasmsNeoplasmsPoint MutationProto-Oncogene ProteinsProto-Oncogene Proteins p21(ras)ras ProteinsCodonKRAS protein, humanProto-Oncogene ProteinsProto-Oncogene Proteins p21(ras)ras Proteins

Identifiers

PMID24280411
PMCPMC3926836
OpenAlexW1491562269

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.