Chromophobe renal cell carcinoma: Novel molecular insights and clinicopathologic updates
Bibliographic record
Abstract
Chromophobe renal cell carcinoma (ChRCC) is the third most common renal cell carcinoma (RCC) subtype, which predominantly occurs in sporadic setting. ChRCCs are considered to originate from the intercalated cell of distal tubules with two main morphological variants, classic and eosinophilic. Most ChRCCs carry a favorable clinical outcome. Histology alone is limited in predicting the behavior of ChRCCs that do not have overtly aggressive morphologic findings such as necrosis and sarcomatoid features. Along with positive CD117 expression, classic ChRCCs generally express diffuse and uniform CK7, while eosinophilic variant demonstrates more heterogeneous CK7 expression (rare or patchy). Multiple losses of chromosomes 1, 2, 6, 10, 13, 17, and 21 are considered to be the genetic hallmarks of classic and eosinophilic ChRCCs, while chromosomal gains are known to be associated with sarcomatoid ChRCCs. TP53 and PTEN are the two most frequently mutated genes in ChRCCs. The major challenge in the differential diagnosis of ChRCCs includes considerations around the eosinophilic variant (of ChRCCs), where it may share overlapping features with oncocytoma or other recent emergent oncocytic tumors. Most eosinophilic ChRCCs share expression of the recently described biomarkers, LINC01187 and FOXI1, with classic ChRCCs, however, a subset of eosinophilic-like ChRCCs with lower biomarker expression have been demonstrated to harbor MTOR gene mutations. Overall, the morphologic features of ChRCCs and genetic profile with combinations of chromosomal losses and gains suggest this tumor entity to represent a distinct, yet heterogeneous group of renal neoplasms.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".