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Brain metastases in patients treated with targeted therapy for metastatic renal cell carcinoma (mRCC).

2011· article· en· W2560304542 on OpenAlexaff
Homood Alharbi, Toni K. Choueiri, Christian Kollmannsberger, Scott North, Mary J. MacKenzie, Jennifer J. Knox, Brian I. Rini, D.Y.C. Heng

Bibliographic record

VenueJournal of Clinical Oncology · 2011
Typearticle
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineBrain metastasisRadiosurgerySunitinibTemsirolimusSorafenibBevacizumabRenal cell carcinomaTargeted therapyInternal medicineRadiation therapyOncologyNeurosurgeryMetastasisCancerChemotherapyRadiologyDiscovery and development of mTOR inhibitors

Abstract

fetched live from OpenAlex

326 Background: Patients with brain metastases from advanced RCC treated in the targeted therapy era are not well characterized. Methods: Data from patients with mRCC treated with targeted therapy were collected through the International mRCC Database Consortium from 6 centers. Results: One hundred six out of 705 (15%) patients with mRCC had brain metastases. Forty-seven patients had brain metastases at the start of first-line anti-VEGF therapy and the rest developed metastases during follow-up. Of the patients with brain metastases, 6%, 68%, and 26% were in the favorable, intermediate and poor prognosis groups, respectively, per the Heng et al JCO 2009 criteria. Ninety percent had cerebral metastases, 17% had cerebellar metastases, 40% had a Karnofsky performance status (KPS) <80%, and 81% had symptoms of brain metastases. The median largest size and number of brain metastases was 1.8 cm (range 0.2–6.6) and 1 (range 1–20), respectively. Patients were treated with first-line sunitinib (n=77), sorafenib (n=23), bevacizumab (n=5), and temsirolimus (n=1). Local disease treatment included whole brain radiotherapy (81%), stereotactic radiosurgery (25%), and neurosurgery (25%). The brain metastases of 59 patients were evaluable and based on the local treatment and/or targeted therapy achieved 7 (12%) complete responses, 23 (39%) partial responses, 14 (24%) patients with stable disease, and 15 (25%) patients with progressive disease in the brain metastases. Patients with more than 4 brain metastases vs. those with no more than 4 have an overall survival time from diagnosis of brain metastasis of 3.9 vs. 15.4 months (p=0.0051). Previous nephrectomy, sarcomatoid, and non-clear cell histology are not associated with development of brain metastases. On multivariable analysis, KPS<80% (p=0.0139), diagnosis to treatment with targeted therapy <1 year (p=0.0012), and higher number of brain metastases (p=0.0311) were associated with worse survival from diagnosis of brain metastases. Conclusions: In patients with brain metastases from RCC, KPS at start of therapy, diagnosis to treatment time and number of brain metastases may be prognostic factors for overall survival. [Table: see text]

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.140
GPT teacher head0.409
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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