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Phase II trial of cytoreductive stereotactic hypofractionated radiotherapy with combination ipilimumab/nivolumab for metastatic kidney cancer (CYTOSHRINK).

2023· article· en· W4324136592 on OpenAlexaffabout
Aly‐Khan A. Lalani, Anand Swaminath, Gregory R. Pond, Scott C. Morgan, Arun Azad, William Chu, Anil Kapoor, Michael Bonert, Jonathan L. Bramson, Michael G. Surette, Dominick Bossé, Shankar Siva, Georg A. Bjarnason, Darin Gopaul, Naveen S. Basappa, Sebastién J. Hotte

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsUniversity of AlbertaPopulation Health Research InstituteMcMaster University Medical CentreSt. Joseph’s Healthcare HamiltonOttawa HospitalHealth Sciences CentreOntario Clinical Oncology GroupGrand River HospitalMcMaster UniversitySunnybrook Health Science CentreJuravinski Cancer Centre
Fundersnot available
KeywordsMedicineIpilimumabNivolumabRenal cell carcinomaSunitinibKidney cancerInternal medicineOncologyNephrectomyImmunotherapyUrologyCancerKidney

Abstract

fetched live from OpenAlex

TPS750 Background: Randomized data from the interferon era demonstrated survival benefits of cytoreductive nephrectomy (CN) in patients with metastatic renal cell carcinoma (mRCC). Results from SURTIME and CARMENA, conducted in the VEGF-targeted therapy era, have challenged the routine use of upfront CN in most IMDC intermediate and poor risk patients. Furthermore, the treatment landscape in mRCC now includes multiple first-line doublet combination immunotherapy approvals. The Checkmate-214 trial showed that intermediate/poor risk patients have improved overall survival and durable objective responses with ipilimumab and nivolumab (I/N) compared to sunitinib. However, patients with a primary kidney lesion in situ appeared to have less benefit than patients with prior nephrectomy. Stereotactic body radiation therapy (SBRT) provides a convenient method for cytoreduction of the primary kidney lesion and may induce an enhanced systemic anti-tumor immune response. We hypothesize that SBRT to the primary kidney mass will enhance the efficacy of I/N compared to standard of care I/N alone in this unique subset of de novo mRCC patients. We also hypothesize that the combination of SBRT and I/N will lead to upregulation of key components of immune modulation as well as unique perturbation of the host gut microbiome compared to I/N alone. Methods: This phase II trial randomizes untreated mRCC patients in a 2:1 fashion to I/N plus SBRT (30-40 Gy in 5 fractions) to the primary kidney mass between cycles 1 and 2 (experimental arm, E), versus standard of care I/N alone (standard arm, S). Eligible patients have biopsy-proven mRCC (any histology) and IMDC intermediate/poor risk disease. Patients with a primary kidney lesion ≥ 20cm, previous abdominal radiation precluding SBRT, or who have a contraindication to I/N are excluded. The primary objective is to compare the efficacy of I/N plus SBRT versus I/N alone, as determined by the hazard ratio for progression free survival (PFS). Secondary objectives include evaluation of safety, overall survival, objective response rate, and health-related quality of life. Exploratory analyses include: (1) immune and genomic profiling of liquid biopsies; (2) transcriptional profiling of baseline tumor biopsies; and (3) interrogation of the gut microbiome and bacterial functionality. Blood and fecal samples will be prospectively collected at baseline, prior to cycle 2 of each arm, and at time of disease progression or the 12-month mark, whichever comes first. Up to 78 patients will be enrolled under the assumption of an improved 12-month PFS from 50% (S) to 75% (E), using a two-sided α=0.1, power=80%, and accounting for loss-to-follow-up and stratification using IMDC criteria 1-2 vs 3-6. Trial is enrolling in Canada and Australia. Clinical trial information: NCT04090710 .

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.176
GPT teacher head0.499
Teacher spread0.324 · 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 designNon-randomized trial
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".

Quick stats

Citations4
Published2023
Admission routes2
Has abstractyes

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