P. K. Sorger

This paper introduces 3D CyCIF, a method for high-plex 3D profiling of cell states and immune niches in human tumors, revealing detailed spatial interactions and cytokine niches previously unattainable in thin sections.

The paper shows nuclear rupture is common in cancer, especially glioblastoma, and links it to lamin proteins and immune signaling.

This paper introduces CyLinter, a quality control tool that removes imaging artefacts from high-plex spatial profiling data, improving single-cell analysis of archival tumor specimens.

This study identifies ASCT2 as the primary serine transporter in cancer cells and shows its role in purine biosynthesis and therapeutic targeting.

This study identifies AP-1 transcription factors as key regulators of TRM development across tissues using scRNA-seq and ATAC-seq, revealing a novel mechanism for TRM reactivation.

This study creates a multimodal tumor atlas to analyze how metastatic HR+ breast cancers adapt to CDK4/6 inhibitors, revealing mechanisms like mTORC1 activation and immune microenvironment changes.

This study compares CyCIF and IHC for immune profiling in ICI-induced dAEs, finding CyCIF provides more detailed single-cell characterization of immune infiltrates.

This study uses a CRISPRi/a screening platform to identify nutrient transporters critical for cancer cell proliferation in diverse microenvironments and reveals their functional roles.

The paper develops a multi-modal imaging platform combining H&E and high-plex immunofluorescence for colorectal cancer diagnosis, showing improved predictive models for progression-free survival.

The paper maps lymphocyte interactions in lung adenocarcinoma using spatial analysis and machine learning, revealing dynamic lymphocyte networks that support anti-tumor immune responses.

Visinity analyzes spatial cell interactions in multiplexed tissue images to identify biological processes and immune-tumor interactions.

The paper uses spatial single-cell analysis to show that CD73 and CD39 expression in glioblastoma correlates with poor clinical outcomes and immunosuppressive signaling.

This study integrates multi-omics data to identify DUB functions and therapeutic targets, revealing key enzymes like USP14, UCHL5, and USP7 with potential in cancer therapy.

The paper uses spatial techniques to study immune evasion and immunoediting in primary melanoma, finding localized immunosuppressive environments and coexistence of invasion and regression.

The paper imputes survival data from oncology trials and shows that using Weibull distributions improves trial precision and reveals time-dependent therapeutic effects in immune checkpoint inhibitor trials.

This study uses multiplexed 3D imaging and machine learning to analyze colorectal cancer morphology and immune interactions, revealing molecular gradients and cell state transitions.

Pick-Seq enables deep spatial transcriptomic profiling of fixed human tissue, revealing transcriptional differences in tumor invasion, proliferation, and immuno-editing.

The paper performs proteomic profiling of 61 breast cancer cell lines, identifies molecular subtypes, and makes datasets publicly available for drug response prediction and therapeutic marker discovery.

This study identifies biomarker-guided treatment strategies for ovarian cancer using patient-derived tumor xenografts, finding that nearly 90% of PDXs responded to at least one targeted therapy.

This paper introduces a channel embedding method for interpreting highly multiplexed biomedical images, demonstrating its effectiveness on synthetic data and breast cancer cell images.

This paper identifies an ancestral recombination event in the RBD of SARS-CoV and SARS-CoV-2 that increased hACE2 binding affinity, suggesting SARS-like viruses may have pandemic potential.

The paper introduces SYLARAS, a tool for immune response profiling, and shows CD45R/B220+ CD8+ T cells are depleted in circulation and accumulate in glioblastoma tumors in mice, with similar cells found in human GBM.

The paper shows that sporadic ERK pulses in BRAFV600E melanoma cells drive non-genetic resistance to RAF/MEK inhibitors.

The paper profiles synovial sarcoma tumors to show that the SS18-SSX fusion drives oncogenic programs, which are repressed by immune cells and can be targeted with HDAC and CDK4/6 inhibitors.

This study analyzes the R-CHOP combination therapy for lymphomas, finding low cross-resistance and drug additivity rather than synergy contribute to its effectiveness.

The paper shows that combining mTOR and PIKK inhibitors kills triple-negative breast cancer cells by exploiting replication and checkpoint vulnerabilities.

The paper uses time-resolved phosphoproteomics to analyze SHP2's role in EGFR signaling, identifying distinct phosphotyrosine response patterns upon SHP099 treatment.