ReviewDer Pathologe2022
[Predictive immunocytochemistry in non-small cell lung carcinoma].
Review in Der Pathologe, 2022. 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, 0 citations in OpenAlex.
- Cost-effectiveness analysis of molecular reflex testing-based targeted therapy in non-small cell lung cancer from a German healthcare payer perspective using a decision tree model.Cost effectiveness and resource allocation : C/E · 2026Article
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 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Predictive immunochemistry is a time-, tumor sample- and cost-efficient method for testing the increasing number of predictive biomarkers in advanced non-small cell lung cancer (NSCLC). Immunohistochemistry (IHC) on formalin-fixed, paraffin-embedded (FFPE) tumor tissue has an established role in detecting PD-L1 expression and in ALK, ROS1, and more recently NTRK testing. Cytology specimens as a source for predictive biomarker testing in NSCLC is very important as up to 40% of all NSCLC are diagnosed by cytology alone.Despite the established role of cytology in lung cancer diagnosis, no commercial IHC assays have been validated for cytology specimens.FFPE cell blocks (CB) are the most straightforward cytology preparation for predictive immunocytochemistry (ICC) as the results are valid using protocols standardized for FFPE histology. But CB are not always available.With non-CB cytology specimens being less standardized than FFPE histology and with considerable preanalytical variability, rigorous cytology-specific ICC protocol optimization, validation, and quality control are required. With this prerequisite, predictive ICC, most commonly performed on Papanicolaou-stained cytology specimens, is robust and reliable on non-CB preparations. This valuable material should not be underutilized for predictive biomarker testing, as this would put patients at risk of unnecessary repeat sampling. This review highlights preanalytical, analytical, and postanalytical aspects that may influence ICC results and summarizes the published data on predictive ICC for PD-L1, ALK, and ROS1 in NSCLC.
Indexed as
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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.