ReviewADMET & DMPK2026
Engineering affibody-based biosensing platforms for cancer biomarker detection.
Review in ADMET & DMPK, 2026. 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
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and purpose: Cancer is one of the most life-threatening diseases and has the highest mortality rate worldwide. Delayed cancer diagnosis remains a major challenge in cancer treatment. Currently, conventional diagnostic methods still have several limitations, resulting in many cancer cases being detected only at advanced stages. Experimental approach: This review was conducted as a literature study of research on the development of affibody-based biosensors for cancer biomarker detection. The review discusses the characteristics of affibodies as bioreceptors, affibody synthesis methods, and their applications in electrochemical and optical biosensors. Key results: Various studies have shown that affibody-based biosensors exhibit high sensitivity and specificity for detecting cancer biomarkers such as human epidermal growth factor receptor 2, tumour necrosis factor-alpha, epidermal growth factor receptor, carcinoembryonic antigen and alpha-fetoprotein. The integration of affibodies into biosensor platforms enables low detection limits, wide linear ranges and good analytical performance in biological samples. Conclusion: Affibody-based biosensors show great potential as platforms for cancer diagnosis. The use of affibodies as bioreceptors offers several advantages over antibodies and aptamers, particularly ease of synthesis, high stability and strong binding affinity.
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.