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Role of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte-ratio (PLR) in unresectable hepatocellular carcinoma (uHCC): Subgroup analysis of patients treated with camrelizumab (cam) + rivoceranib (rivo) in the CARES-310 trial.

2024· article· en· W4400414398 on OpenAlexaff
Adam M. Burgoyne, Ahmed O. Kaseb, Wei Shi, Laura E. Crotty Alexander, Xianzhang Meng, Kristin Ryan, Chris Galloway, Will Neubach, Arndt Vogel, Stephen L. Chan

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicInflammatory Biomarkers in Disease Prognosis
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsMedicineHepatocellular carcinomaLymphocyteNeutrophil to lymphocyte ratioSubgroup analysisInternal medicinePlateletGastroenterologyOncologyImmunologyConfidence interval

Abstract

fetched live from OpenAlex

e16197 Background: CARES-310 (NCT03764293) evaluated the combination of the PD-1 inhibitor, cam, and the VEGFR-2 tyrosine kinase inhibitor, rivo, compared to sorafenib (sor) for the treatment of 543 patients (pts) with uHCC. Cam + rivo significantly improved mOS (22.1 months [mo] [95% CI 19.1-27.2] vs 15.2 mo [13.0-18.5] HR 0.62 [95% CI 0.49-0.80]; one-sided p < 0.0001) and mPFS (5.6 mo [95% CI 5.5-6.3] vs 3.7 mo [2.8-3.7]; HR 0.54 [95% CI 0.44-0.67]; one-sided p < 0.0001) compared to sor. The most common (≥20%) grade ≥3 treatment-related adverse events (TRAEs) for cam + rivo were hypertension (37.5%) and increased AST (16.5%) vs palmar-plantar erythrodysesthesia syndrome (15.2%) for sor. An elevated level of inflammation, including NLR and PLR, have been associated with poor survival outcomes in pts with HCC (Lin S, et al. Trans Cancer Res. 2021). Here, we present a subgroup analysis of the CARES-310 trial evaluating the impact of baseline (BL) NLR and PLR status on pt outcomes. Methods: The subgroup of pts treated with cam+rivo and BL NLR < 5 or ≥5 and PLR < 300 or ≥300 were evaluated for mOS, mPFS, overall response rate (ORR), disease control rate (DCR), and safety. Results: Of 272 pts treated with cam+rivo, 64.3% of pts had extrahepatic spread, median AFP was 84.1 ng/mL, 86.8% were Child-Pugh (CP) class A5, 13.2% were CP class A6, 73.5% were ALBI grade 1, 26.5% were ALBI grade 2. Additionally, 249 pts had NLR < 5, 10 pts had NLR ≥5, 252 pts had PLR < 300, and 7 pts had PLR ≥300. Pts with BL NLR < 5 and PLR < 300 demonstrated improved outcomes in mOS, mPFS, ORR, and DCR vs pts with BL NLR ≥5 and PLR ≥300 (Table). Rates of any grade TRAEs and grade ≥ 3 TRAEs were comparable between pts with BL NLR < 5 and ≥5 and PLR < 300 and ≥300 (Table). Conclusions: These results suggest that NLR and PLR may serve as a prognostic marker in patients with uHCC, but larger studies are needed to validate these findings. Clinical trial information: NCT03764293 . [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)0.003
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.006
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.034
GPT teacher head0.349
Teacher spread0.314 · 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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Citations2
Published2024
Admission routes1
Has abstractyes

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