Evidence map›Paper›PMID 26787912›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Quantitative proteomics and phosphoproteomics on serial tumor biopsies from a sorafenib-treated HCC patient.

Eva Dazert, Marco Colombi, Tujana Boldanova, Suzette Moes, David Adametz, Luca Quagliata, Volker Roth, Luigi Terracciano, Markus H Heim, Paul Jenoe and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

39 citing papers in PubMed, 75 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Tumour evolution in hepatocellular carcinoma.Nature reviews. Gastroenterology & hepatology · 2020
    Review
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

11 authors at 2 institutions in 1 country.

Eva DazertBiozentrum, University of Basel, 4056 Basel, Switzerland;
Marco ColombiBiozentrum, University of Basel, 4056 Basel, Switzerland;
Tujana BoldanovaDepartment of Biomedicine, University Hospital Basel, 4031 Basel, Switzerland;
Suzette MoesBiozentrum, University of Basel, 4056 Basel, Switzerland;
David AdametzDepartment of Mathematics and Computer Science, University of Basel, 4051 Basel, Switzerland;
Luca QuagliataMolecular Pathology, University Hospital Basel, 4003 Basel, Switzerland.
Volker RothDepartment of Mathematics and Computer Science, University of Basel, 4051 Basel, Switzerland;
Luigi TerraccianoMolecular Pathology, University Hospital Basel, 4003 Basel, Switzerland.
Markus H HeimDepartment of Biomedicine, University Hospital Basel, 4031 Basel, Switzerland;
Paul JenoeBiozentrum, University of Basel, 4056 Basel, Switzerland;
Michael N HallBiozentrum, University of Basel, 4056 Basel, Switzerland; m.hall@unibas.ch.
University of Basel · CHUniversity Hospital of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compensatory signaling pathways in tumors confer resistance to targeted therapy, but the pathways and their mechanisms of activation remain largely unknown. We describe a procedure for quantitative proteomics and phosphoproteomics on snap-frozen biopsies of hepatocellular carcinoma (HCC) and matched nontumor liver tissue. We applied this procedure to monitor signaling pathways in serial biopsies taken from an HCC patient before and during treatment with the multikinase inhibitor sorafenib. At diagnosis, the patient had an advanced HCC. At the time of the second biopsy, abdominal imaging revealed progressive disease despite sorafenib treatment. Sorafenib was confirmed to inhibit MAPK signaling in the tumor, as measured by reduced ribosomal protein S6 kinase phosphorylation. Hierarchical clustering and enrichment analysis revealed pathways broadly implicated in tumor progression and resistance, such as epithelial-to-mesenchymal transition and cell adhesion pathways. Thus, we describe a protocol for quantitative analysis of oncogenic pathways in HCC biopsies and obtained first insights into the effect of sorafenib in vivo. This protocol will allow elucidation of mechanisms of resistance and enable precision medicine.

Indexed as

ProteomicsAntineoplastic AgentsBiopsyCarcinoma, HepatocellularHumansLiver NeoplasmsNiacinamidePhenylurea CompoundsPhosphoproteinsPhosphorylationSorafenibAntineoplastic AgentsNiacinamidePhenylurea CompoundsPhosphoproteinsSorafenibEMTevasive resistanceliverMAPKsignal transduction

Identifiers

PMID26787912
PMCPMC4747770
OpenAlexW2256462368

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.