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Record W3142535259 · doi:10.1111/bju.15426

The role of nephrectomy in metastatic renal cell carcinoma in the immuno‐oncology era

2021· article· en· W3142535259 on OpenAlexaff
Christoph Würnschimmel, Luigi Nocera, Mike Wenzel, Claudia Collà Ruvolo, Zhe Tian, Pierre I. Karakiewicz

Bibliographic record

VenueBritish Journal of Urology · 2021
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineSunitinibNephrectomyRenal cell carcinomaNivolumabKidney cancerInternal medicineOncologyIpilimumabCohortNephrologyUrologySurgeryCancerImmunotherapyKidney

Abstract

fetched live from OpenAlex

Three first-line, randomised phase III trials (Checkmate 214 [1], Checkmate 9ER [2], and Keynote 426 [3]) relied on predefined statistical criteria to validate the survival advantage of immuno-oncology (IO)-based systemic treatment in metastatic RCC (mRCC) relative to sunitinib. Within each of these three trials, stratification according to prior nephrectomy was addressed in post hoc progression-free survival (PFS) and overall survival (OS) analyses. We focussed on these three post hoc analyses in addition to illustrating the effect of prior nephrectomy in the pivotal sunitinib vs interferon trial (Motzer et al. [4]) for comparison purpose [1-4]. The rates of prior nephrectomy varied across trials. In Keynote 426, the prior nephrectomy rate was 83% (treatment-arm, pembrolizumab/axitinib) vs 84% (control-arm, sunitinib) [3]. In Checkmate 9ER, prior nephrectomy rate was 69% (treatment-arm, nivolumab/cabozantinib) vs 41.5% (control-arm, sunitinib) [2]. In Checkmate 214, prior nephrectomy rate was 82% (treatment-arm, nivolumab/ipilimumab) vs 80% (control-arm, sunitinib) [1]. The proportions of favourable-, intermediate- and poor-risk patients also varied across trials. In the prior nephrectomy cohort of Keynote 426, the proportions of intermediate- or poor-risk patients ranged from 63.5% (treatment-arm) to 64% (control-arm) [3]. In the cohort of Keynote 426 without prior nephrectomy, the proportions of intermediate- or poor-risk patients were even higher (90% in the treatment arm and 96% in the control-arm) [3]. In Checkmate 214 and Checkmate 9ER, no detailed information on risk proportions according to nephrectomy status was available [1, 2]. In Checkmate 9ER, across cohorts with and without prior nephrectomy, proportions of intermediate- or poor-risk patients were 77% (treatment) vs 78% (control) [2]. In Checkmate 214, across cohorts with and without prior nephrectomy, proportions of intermediate- or poor-risk patients were 77% and 77%, respectively [1]. Regarding PFS, prior nephrectomy status was associated with longer PFS in Checkmate 9ER [2] (ratio of hazards ratios [rHR] 0.73) and Checkmate 214 [1] (HR 0.90), but not in Keynote 426 [3] (HR 1.03). For comparison, in the pivotal sunitinib vs interferon trial, prior nephrectomy status was also associated with longer PFS (HR 0.71) [4]. Regarding OS, prior nephrectomy status was associated with longer OS only in Checkmate 9ER [2], but not in Checkmate 214 [1] or in Keynote 426 [3] (Fig. 1). The above observations suggest more favourable PFS in prior nephrectomy patients in two of the three IO trials. Lack of PFS benefit in Keynote 426 [3] may be related to high proportion of intermediate- or poor-risk patients in the prior nephrectomy arm in addition to the smallest proportion of patients without prior nephrectomy of all three trials. Indirectly, the highest proportion of prior nephrectomy patients in Keynote 426 [3] endorses the use of nephrectomy in the setting examined within this trial. Nonetheless, further post hoc analyses, especially, those from the CLEAR trial (ClinicalTrials.gov Identifier: NCT02811861) should ideally complement our observations [5]. Finally, our observations should be interpreted in the light of their non-randomised design. Therefore, the beneficial effect of prior nephrectomy on PFS should be interpreted as a mere association and not causation. Furthermore, it should also be emphasised that prior nephrectomy status indicates the use of nephrectomy at non-metastatic stage in most patients. Consequently, it cannot be interpreted as synonymous with cytoreductive nephrectomy. Nevertheless, even after taking into account these considerations, it appears likely that the role of nephrectomy in the management of mRCC will persist also in the era of IO treatment. However, ideal patient selection and timing of nephrectomy in patients with mRCC treated with IO regimens is currently unclear. In this regard, future guideline recommendations on the role of nephrectomy in the IO era will eventually be shaped by the results of several ongoing prospective randomised trials (NCT03055013, NCT02210117, NCT03288532, NCT03138512, NCT03142334, NCT03024996). Open access funding enabled and organized by Projekt DEAL. The authors declare no disclosure of interest.

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.251
Teacher spread0.239 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations10
Published2021
Admission routes1
Has abstractyes

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