ReviewDer Pathologe2021
[Relevant mutations in predictive breast cancer pathology].
Review in Der Pathologe, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed, 3 citations in OpenAlex.
- Molecular pathology in breast disease: diagnostic, prognostic, and therapeutic tools.Virchows Archiv : an international journal of pathology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Whereas predictive immunohistochemistry has represented a core element of breast cancer classification for decades, predictive molecular pathology, with the exception of in situ hybridization for assessment of HER2 amplification, has only recently gained importance because novel drugs have been approved for treatment of metastatic disease. For the use of PARP inhibitors, proof of BRCA1 or BRCA2 mutation is mandatory. When mutation of the catalytic subunit α of the phosphatidylinositol‑4.5‑bisphosphate 3‑kinase gene (PIK3CA) is present, which can be encountered in up to 40% of luminal breast cancers, the option for treatment with the specific inhibitor alpelisib arises. The HER2 -encoded growth factor receptor contributes to neoplastic transformation not only by amplification and overexpression but also by activating the mutation of the kinase domain, which is responsive to tyrosine kinase inhibitors of the tucatinib/neratinib type. Up to 30% of metastatic and endocrine treated luminal breast cancers acquire an activating mutation of the estrogen receptor gene ESR1, resulting in an autocrine and ligand-independent growth stimulation resistant to aromatase inhibitors. Larotrectinib-sensitive mutation of tropomyosinreceptor kinase is present in up to 50% of secretory breast cancers, whereas the other histologic subtypes display an incidence of below 1%. In conclusion, predictive molecular pathology has gained importance in metastatic breast cancer.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.