BioParity.UFO / UAP research

4 sources for “Spatial cancer research”

Results

PaperS7686

Spatially Segregated Macrophage Populations Predict Distinct Outcomes in Colon Cancer

Magdalena Matusiak, John W. Hickey, David G.P. van IJzendoorn, Guolan Lu, Lukasz Kidziński, Shirley Zhu, Deana R.C. Colburg, Bogdan Luca, Darci J. Phillips, Sky W. Brubaker, Gregory W. Charville, Jeanne Shen, Kyle M. Loh, Derick K. Okwan-Duodu, Garry P. Nolan, Aaron M. Newman, Robert B. West, Matt van de Rijn. ebi.ac.uk. March 27, 2024.

This observational human-tissue study associates distinct macrophage populations with different colon-cancer outcomes: IL4I1 with favorable survival in two reported cohorts and SPP1 with unfavorable survival in one. Nested cells and tissue regions are not independent patients; no adjusted or prospectively validated clinical predictor is established. A reused breast-cancer treatment-response measure is T-cell receptor expansion, a surrogate. Nolan is a Resources coauthor. Public cancer-research grants name other recipients and establish no classified approach or UAP programme. Figures and supplements remain unreviewed.

Complete specialist supplied XML text; native graphics unreviewed
PaperS7624

Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front

Christian M Schürch, Salil S Bhate, Graham L Barlow, Darci J Phillips, Luca Noti, Inti Zlobec, Pauline Chu, Sarah Black, Janos Demeter, David R McIlwain, Shigemi Kinoshita, Nikolay Samusik, Yury Goltsev, Garry P Nolan. ebi.ac.uk. September 3, 2020.

The authors analyze spatial immune patterns in selected colorectal-cancer tissue. Thirty-five patients supply140 dependent tissue cores; repeated cells, regions and holdouts do not create new cohorts. Survival findings and correlation-based “communication” are exploratory. A linked correction adds Shigemi Kinoshita to the author list. No clinical efficacy or UAP finding is established.

Complete supplied main, figures and correction; bounded supplementary review
PaperS7625

Multimodal Analysis of Composition and Spatial Architecture in Human Squamous Cell Carcinoma

Andrew L Ji, Adam J Rubin, Kim Thrane, Sizun Jiang, David L Reynolds, Robin M Meyers, Margaret G Guo, Benson M George, Annelie Mollbrink, Joseph Bergenstråhle, Ludvig Larsson, Yunhao Bai, Bokai Zhu, Aparna Bhaduri, Jordan M Meyers, Xavier Rovira-Clavé, S Tyler Hollmig, Sumaira Z Aasi, Garry P Nolan, Joakim Lundeberg, Paul A Khavari. ebi.ac.uk. July 23, 2020.

The authors combine sequencing and imaging to describe selected squamous-cancer tissue, including a tumour-specific keratinocyte population. Cells, spots and fields depend on small patient subsets. Predicted interactions and proximity do not establish causal immune suppression. A linked correction repairs duplicated and mislabeled figure material; its unchanged-conclusions statement is attributed to the authors.

Complete supplied main, correction, S5 cells and S3 signature cells; remaining gaps
PaperS7695

Quantitative characterization of tissue states using multiomics and ecological spatial analysis

Daisy Yi Ding, Zeyu Tang, Bokai Zhu, Hongyu Ren, Alex K. Shalek, Robert Tibshirani, Garry P. Nolan. pmc.ncbi.nlm.nih.gov. April 1, 2025.

This computational study reanalyses existing tissue datasets to describe spatial cell diversity and infer molecular relationships. Its liver comparison has one tissue per condition, subdivided into ten regions; these are not ten patients. Colorectal-cancer survival models use internal validation. Nolan is explicitly acknowledged for NIH support and two FDA Medical Countermeasures Initiative contracts. Those public acknowledgements establish reported research support, without verifying contract scope or a classified UAP approach.

Complete specialist supplied XML text; native apparatus unreviewed

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