ArticleiScience2023
Semi-supervised analysis of myeloid and T cell behavior in
Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 7 citations in OpenAlex.
- Rethinking ovarian cancer III: the past decade and future directions.Nature reviews. Cancer · 2026Review
- 3D pentaculture model unveils malignant cell-driven macrophage polarization in high-grade serous ovarian cancer.Nature communications · 2026Article
- Shaping the future one slice at a time: How 3D organotypic tumour slice models are driving drug discovery in ovarian cancer.Translational oncology · 2026Review
- Ex Vivo Traceability Platform for Phospholipoproteomic Formulations: Functional Evidence Without Clinical Exposure.Biomedicines · 2025Article
- Human 3D Ovarian Cancer Models Reveal Malignant Cell-Intrinsic and -Extrinsic Factors That Influence CAR T-cell Activity.Cancer research · 2024Article
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
Abstract
Studies of the high-grade serous ovarian cancer (HGSOC) tumor microenvironment, the most lethal gynecological cancer, aim to enhance the efficiency of established therapies. Cell motility is an important process of anti-tumor response. Using
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.