Evidence map›Paper›PMID 26358176›Full record

ReviewCancer gene therapy2015

A 2015 update on predictive molecular pathology and its role in targeted cancer therapy: a review focussing on clinical relevance.

M Dietel, K Jöhrens, M V Laffert, M Hummel, H Bläker, B M Pfitzner, A Lehmann, C Denkert, S Darb-Esfahani, D Lenze and 5 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cancer gene therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
9.1field-weighted citation impact, top 1% 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

62 citing papers in PubMed, 1 synthesis or guideline pooled it, 142 citations in OpenAlex.

  1. Pooled it
  2. Personalized Decision Making on Genomic Testing in Early Breast Cancer: Expanding the MINDACT Trial with Decision-Analytic Modeling.Medical decision making : an international journal of the Society for Medical Decision Making · 2021
    Trial
  3. Article
  4. Review
  5. Review
  6. Article
  7. Frontiers in oncology · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. The paediatric cancer clinical research landscape in Spain: a 13-year multicentre experience of the new agents group of the Spanish Society of Paediatric Haematology and Oncology (SEHOP).Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Wnt/β-Catenin Signaling in Oral Carcinogenesis.International journal of molecular sciences · 2020
    Review
  20. Article

2 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

15 authors at 1 institution in 1 country.

M DietelInstitute of Pathology, Charité, University Medicine Berlin, Berlin, Germany.
K JöhrensInstitute of Pathology, Charité, University Medicine Berlin, Berlin, Germany.
M V LaffertInstitute of Pathology, Charité, University Medicine Berlin, Berlin, Germany.
M HummelInstitute of Pathology, Charité, University Medicine Berlin, Berlin, Germany.
H BläkerInstitute of Pathology, Charité, University Medicine Berlin, Berlin, Germany.
B M PfitznerInstitute of Pathology, Charité, University Medicine Berlin, Berlin, Germany.
A LehmannInstitute of Pathology, Charité, University Medicine Berlin, Berlin, Germany.
C DenkertInstitute of Pathology, Charité, University Medicine Berlin, Berlin, Germany.
S Darb-EsfahaniInstitute of Pathology, Charité, University Medicine Berlin, Berlin, Germany.
D LenzeInstitute of Pathology, Charité, University Medicine Berlin, Berlin, Germany.
F L HeppnerInstitute of Neuropathology, Charité, University Medicine Berlin, Berlin, Germany.
A KochInstitute of Neuropathology, Charité, University Medicine Berlin, Berlin, Germany.
C SersInstitute of Pathology, Charité, University Medicine Berlin, Berlin, Germany.
F KlauschenInstitute of Pathology, Charité, University Medicine Berlin, Berlin, Germany.
I AnagnostopoulosInstitute of Pathology, Charité, University Medicine Berlin, Berlin, Germany.
Charité - Universitätsmedizin Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In April 2013 our group published a review on predictive molecular pathology in this journal. Although only 2 years have passed many new facts and stimulating developments have happened in diagnostic molecular pathology rendering it worthwhile to present an up-date on this topic. A major technical improvement is certainly given by the introduction of next-generation sequencing (NGS; amplicon, whole exome, whole genome) and its application to formalin-fixed paraffin-embedded (FFPE) tissue in routine diagnostics. Based on this 'revolution' the analyses of numerous genetic alterations in parallel has become a routine approach opening the chance to characterize patients' malignant tumors much more deeply without increasing turn-around time and costs. In the near future this will open new strategies to apply 'off-label' targeted therapies, e.g. for rare tumors, otherwise resistant tumors etc. The clinically relevant genetic aberrations described in this review include mutation analyses of RAS (KRAS and NRAS), BRAF and PI3K in colorectal cancer, KIT or PDGFR alpha as well as BRAF, NRAS and KIT in malignant melanoma. Moreover, we present several recent advances in the molecular characterization of malignant lymphoma. Beside the well-known mutations in NSCLC (EGFR, ALK) a number of chromosomal aberrations (KRAS, ROS1, MET) have become relevant. Only very recently has the clinical need for analysis of BRCA1/2 come up and proven as a true challenge for routine diagnostics because of the genes' special structure and hot-spot-free mutational distribution. The genetic alterations are discussed in connection with their increasingly important role in companion diagnostics to apply targeted drugs as efficient as possible. As another aspect of the increasing number of druggable mutations, we discuss the challenges personalized therapies pose for the design of clinical studies to prove optimal efficacy particularly with respect to combination therapies of multiple targeted drugs and conventional chemotherapy. Such combinations would lead to an extremely high complexity that would hardly be manageable by applying conventional study designs for approval, e.g. by the FDA or EMA. Up-coming challenges such as the application of methylation assays and proteomic analyses on FFPE tissue will also be discussed briefly to open the door towards the ultimate goal of reading a patients' tissue as 'deeply' as possible. Although it is yet to be shown, which levels of biological information are most informative for predictive pathology, an integrated molecular characterization of tumors will likely offer the most comprehensive view for individualized therapy approaches. To optimize cancer treatment we need to understand tumor biology in much more detail on morphological, genetic, proteomic as well as epigenetic grounds. Finally, the complex challenges on the level of drug design, molecular diagnostics, and clinical trials make necessary a close collaboration among academic institutions, regulatory authorities and pharmaceutical companies.

Indexed as

Molecular Targeted TherapyAntineoplastic AgentsChromosome AberrationsDNA, NeoplasmDrug DesignGenes, NeoplasmHigh-Throughput Nucleotide SequencingHumansMolecular Diagnostic TechniquesMutationNeoplasm ProteinsNeoplasmsPrecision MedicineProteomicsSequence Analysis, DNATherapies, InvestigationalAntineoplastic AgentsDNA, NeoplasmNeoplasm Proteins

Identifiers

PMID26358176
OpenAlexW2203618271

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.