Redefining Renal Cell Carcinoma: A Molecular Perspective on Classification and Clinical Implications
Bibliographic record
Abstract
Renal cell carcinoma (RCC) is the most common primary tumour of the kidney. RCC is a clinically and pathologically heterogenous entity, which has traditionally been classified under two broad categories: clear-cell and non-clear cell. With improved molecular diagnostic methodologies and genetic testing, the classification of RCC has shifted from a morphological basis to a molecular/genetic focus, and has been systematically updated to reflect these advancements. The new 2022 World Health Organization (WHO) classification of RCC is the most recent of these updates, and contains significant changes, as compared to the previous 2016 classification. The most substantial of these changes is the establishment of a new category of molecularly-defined RCC, including TFE3-rearranged RCC, TFEB-altered RCC, ELOC-mutated RCC, fumarate hydratase-deficient RCC, succinate dehydrogenase-deficient RCC, ALK-rearranged RCC, and SMARCB1-deficient renal medullary carcinoma. In this narrative review, the authors briefly summarise the histopathological characteristics, clinical course, current treatment standards, and future treatment directions of each of these molecularly-defined RCC subtypes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 0.001 |
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".