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Treatment with lenvatinib plus pembrolizumab in recurrent or advanced endometrial cancer: A systematic review and meta-analysis.

2023· review· en· W4379336228 on OpenAlexaff
Francisco Cézar Aquino de Moraes, Maysa Vilbert, Sarah Vitória Bristot Carnevalli, Gustavo de Oliveira Almeida, Danielle Cristinne Azevedo Feio, Carlos Stecca, Alexandre André Balieiro Anastácio da Costa

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typereview
Languageen
FieldMedicine
TopicEndometrial and Cervical Cancer Treatments
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicinePembrolizumabLenvatinibInternal medicineEndometrial cancerOncologyMeta-analysisCancerImmunotherapyThyroid cancer

Abstract

fetched live from OpenAlex

e17630 Background: Endometrial cancer (EC) is the second most prevalent gynecological cancer. After failure to first-line platinum-based chemotherapy, treatment options are sparse, but recent studies have investigated new approaches with promising results. We conducted a systematic review and meta-analysis to evaluate the efficacy and safety of Lenvatinib plus Pembrolizumab in patients with advanced or recurrent EC. Methods: PubMed, Web of Science, Cochrane, Scopus, and LILACS databases, Central Register of Clinical Trials, and congresses publication websites were searched for studies using Lenvatinib plus Pembrolizumab in advanced or recurrent EC with progression after platinum-based chemotherapy. Outcomes of interest were best overall response rate (BORR) and disease control rate (DCR), on intention-to-treat (ITT) and per-protocol analyses, and according to mismatch repair status. Progression free-survival (PFS) and overall survival (OS) were also assessed. Heterogeneity was examined with the Cochran Q test and I2 statistics. We use a DerSimonian and Laird random-effects model. Results: Four studies, with 637 patients, were included: two clinical trials and two retrospective observational cohorts. Endometrioid EC was the predominant histology (53%), and most patients had mismatch repair-proficient tumors (pMMR, 86.5%). In a pooled analysis, with a medium follow-up of 12.2 months, BORR was 31% (95%CI 26, 37), and DCR was 74% (95%CI 65, 83) on ITT. CR, PR, and SD were documented in 37 (5.8%),168 (26.3%) and 284 (44.5%) patients, respectively. BORR was 48% in microsatellite unstable tumors compared to 31% in stable microsatellite disease (p = 0.07), while DCR was similar in both groups (p = 0.33). Median progression-free survival was 7.2 months (95%CI 3.2, 7.4), and median overall survival was 18.3 months (95%CI 8.6, 18.3) in patients receiving Lenvatinib and Pembrolizumab. The most common treatment-related adverse events (AE) included diarrhea 277/514 (53.8%), nausea 244/514 (47.4%), hypothyroidism 288/562 (39.1%), hypertension 338/632 (36.9%), fatigue 213/632 (31.0%), and vomiting 178/514 (34.6%). Grades 3 or 4 AE was reported in 436/514 (79.6%) patients. Overall, dose reductions, treatment interruptions, and discontinuation due to toxicities were required in 61%, 63%, and 27% of patients, respectively. Conclusions: This systematic review and meta-analysis reinforce the antitumor activity of the combination of Pembrolizumab and Lenvatinib in patients with advanced or recurrent EC, regardless of MMR status. Despite high rates of serious adverse events related to treatment, most were manageable.

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)0.011
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.019
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0180.037
Bibliometrics0.0080.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.508
GPT teacher head0.581
Teacher spread0.073 · 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 designMeta-analysis
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

Citations1
Published2023
Admission routes1
Has abstractyes

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