ReviewMedical sciences (Basel, Switzerland)2026
Optimizing Precision Oncology: Structural Frameworks for Local MTB Integration and Outcome Assessment.
Review in Medical sciences (Basel, Switzerland), 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
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
objectivesMolecular tumor profiling has recently transformed oncologic care delivery, establishing precision medicine as an essential approach for defining cancer biology and revealing intratumoral heterogeneity. The growing accessibility of advanced nucleic acid sequencing technologies has created a demand for specialized expertise in interpreting comprehensive genomic profiling results. Academic institutions currently employ a strategy of conducting initial broad-spectrum genomic testing, followed by matching patients to investigational therapies targeting their specific genomic alterations. Consequently, molecular tumor boards (MTBs) have emerged predominantly within major cancer centers and academic medical institutions, providing the specialized knowledge necessary to translate precision oncology into routine clinical care. However, despite the substantial benefits of collaborative case review within tumor boards, clinicians frequently encounter multiple barriers to effective MTB implementation.
methodsthis report examines these challenges performing an exploratory quantitative synthesis approach and explores implementation strategies and best practices derived from collective institutional experiences, with the goal of establishing a functional MTB at the local level and thereby expanding oncology patient access to cutting-edge therapeutic options.
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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 Socratic graph.