ReviewGenes2021
Next-Generation Digital Histopathology of the Tumor Microenvironment.
Review in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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
25 citing papers in PubMed, 42 citations in OpenAlex.
- Review
- Estimating tumour immune infiltration: methodological convergence across histology and spatial technologies.Briefings in bioinformatics · 2026Review
- Visual recognition limitations in multimodal large language models: A comparative analysis of histological image interpretation.PLOS digital health · 2026Article
- Advances in the Therapeutic Landscape of Hepatocellular Carcinoma: Current Strategies and Future Perspectives.Cancers · 2026Review
- Morphological analysis of tumor microenvironment in HER2-positive breast cancer: predicting response to neoadjuvant chemotherapy on histopathological images.Breast cancer research : BCR · 2025Article
- Spatial mapping of innate lymphoid cells in human lymphoid tissues and lymphoma at single-cell resolution.Nature communications · 2025Article
- Practical microenvironment classification in diffuse large B cell lymphoma using digital pathology.Cell reports. Medicine · 2025Article
- Generational stability of environmentally induced epigenetic transgenerational inheritance of adult-onset disease over ten mammalian generations.Environmental epigenetics · 2025Article
- Mechanical Properties of Inflamed Appendix Tissues.Biomedicines · 2024Article
- Advancements in technology for characterizing the tumor immune microenvironment.International journal of biological sciences · 2024Review
- Quantitative multiplexed imaging technologies for single-cell analysis to assess predictive markers for immunotherapy in thoracic immuno-oncology: promises and challenges.British journal of cancer · 2023Review
- Spatially Resolved Transcriptomics Technology Facilitates Cancer Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Review
- Genomic and Phenotypic Biomarkers for Precision Medicine Guidance in Advanced Prostate Cancer.Current treatment options in oncology · 2023Review
- Vascular phenotyping of the invasive front in breast cancer using a 3D angiogenesis atlas.Microvascular research · 2023Article
- Unleashing the potential of AI for pathology: challenges and recommendations.The Journal of pathology · 2023Review
- Review
- Sequential Chromogenic IHC: Spatial Analysis of Lymph Nodes Identifies Contact Interactions between Plasmacytoid Dendritic Cells and Plasmablasts.Cancer research communications · 2023Article
- Multiple generation distinct toxicant exposures induce epigenetic transgenerational inheritance of enhanced pathology and obesity.Environmental epigenetics · 2023Article
- Multimodal AI for prediction of distant metastasis in carcinoma patients.Frontiers in bioinformatics · 2023Article
- Expression profile and prognostic values of LSM family in skin cutaneous melanoma.BMC medical genomics · 2022Article
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 at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Progress in cancer research is substantially dependent on innovative technologies that permit a concerted analysis of the tumor microenvironment and the cellular phenotypes resulting from somatic mutations and post-translational modifications. In view of a large number of genes, multiplied by differential splicing as well as post-translational protein modifications, the ability to identify and quantify the actual phenotypes of individual cell populations in situ, i.e., in their tissue environment, has become a prerequisite for understanding tumorigenesis and cancer progression. The need for quantitative analyses has led to a renaissance of optical instruments and imaging techniques. With the emergence of precision medicine, automated analysis of a constantly increasing number of cellular markers and their measurement in spatial context have become increasingly necessary to understand the molecular mechanisms that lead to different pathways of disease progression in individual patients. In this review, we summarize the joint effort that academia and industry have undertaken to establish methods and protocols for molecular profiling and immunophenotyping of cancer tissues for next-generation digital histopathology-which is characterized by the use of whole-slide imaging (brightfield, widefield fluorescence, confocal, multispectral, and/or multiplexing technologies) combined with state-of-the-art image cytometry and advanced methods for machine and deep learning.
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.