ReviewDer Pathologe2016
[New prognostic and predictive markers for breast cancer].
Review in Der Pathologe, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer can be divided into four molecular subtypes with different prognoses using immunohistochemical markers in the routine clinicopathological work-up. The protein Ki-67 is of central importance in this context, in particular to distinguish between luminal A and luminal B carcinomas. Determination of the Ki-67 index of a carcinoma also allows a prediction of the likelihood of the response to chemotherapy. Additionally, the expression of certain cytokeratins in tumor cells is associated with a poor response to chemotherapy. The heterogeneity of molecular subtypes with regard to the histological appearance indicates an even greater diversity of breast cancer. We were able to show that a high proportion of luminal B carcinomas display neuroendocrine differentiation. Further studies with particular emphasis on histomorphological criteria should be performed to attain a more accurate classification of breast cancer and to pave the way towards targeted therapies for a better prognosis in the future.
Indexed as
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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.