Combining Radiotherapy with Immunocheckpoint Inhibitors or CAR-T in Renal Cell Carcinoma
Bibliographic record
Abstract
Radiotherapy is considered a second life in Renal Cell Carcinoma (RCC) patients, mainly due to the introduction of immune checkpoint inhibitors, such as anti-Programmed-death (PD)-1, alone or in combination with anti-Cytotoxic T-Lymphocyte Antigen (CTLA)-4. Several trials are investigating the efficacy/safety of immune checkpoint inhibitors in sequential or combined strategies with radiotherapy. Chimeric Antigen Receptor (CAR)-T cells therapy as a promising approach in cancer patients has opened the way to novel possibilities of integrating therapies. The identification of biomarkers of tumor response to these combinations represents a challenge in RCC, together with the research for the best partner for immunotherapy in metastatic patients. In this review we illustrated preclinical/clinical data on the integration of radiotherapy with immunocheckpoint inhibitors or CART cells in RCC.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".