157 A transcriptomics-based response predictor identifies potential responders among patients with negative standard markers for response to immune checkpoint blockers
Main Authors: | Eytan Ruppin, Raanan Berger, Gal Dinstag, Tuvik Beker, Efrat Elis, Doreen S Ben-Zvi, Kenneth Aldape, Ranit Aharonov |
---|---|
Format: | Article |
Language: | English |
Published: |
BMJ Publishing Group
2023-11-01
|
Series: | Journal for ImmunoTherapy of Cancer |
Similar Items
-
Fibrolamellar carcinoma transcriptomic-based treatment prediction: complete response after nivolumab and ipilimumab
by: Razelle Kurzrock, et al.
Published: (2022-12-01) -
Predictive value of ENLIGHT-DP in patients with metastatic lung adenocarcinoma treated with immune checkpoint inhibitors and platinum chemotherapy directly from histopathology slides using inferred transcriptomics
by: Eli Pikarsky, et al.
Published: (2025-01-01) -
Toward Systems Biomarkers of Response to Immune Checkpoint Blockers
by: Óscar Lapuente-Santana, et al.
Published: (2020-06-01) -
Sexual selection and the evolution of obligatory sex
by: Beker Tuvik, et al.
Published: (2007-12-01) -
Biomarkers for immune checkpoint blockers
by: Kirsty Wienand, et al.
Published: (2018-06-01)