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Record W2887042787 · doi:10.1158/1538-7445.am2018-1642

Abstract 1642: Alectinib in treatment-naïve anaplastic lymphoma kinase-positive (<i>ALK</i>+) metastatic non-small-cell lung cancer (mNSCLC): Systematic literature review (SLR) and network meta-analysis (NMA)

2018· article· en· W2887042787 on OpenAlexaff
Anna Steenrod, Michelle Orme, Katherine S. MacGilchrist, Rachel Rosenthal, Juliane Schaefer, Vlatka Smoljanović, Emmanuel Mitry, Parneet Cheema

Bibliographic record

VenueCancer Research · 2018
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Treatments and Mutations
Canadian institutionsWilliam Osler Health System
Fundersnot available
KeywordsAlectinibMedicineCrizotinibCeritinibInternal medicineOncologyAnaplastic lymphoma kinaseLung cancerPemetrexedChemotherapy

Abstract

fetched live from OpenAlex

Abstract Background: The standard of care for treatment-naïve ALK+ mNSCLC patients (pts) is an ALK tyrosine kinase inhibitor (TKI). Pts treated with crizotinib generally experience disease progression within 1 year, often within the central nervous system (CNS). As such, there is a high unmet need for CNS-active ALK TKIs. Phase III data from 2 ALK TKIs, alectinib and ceritinib, showed improved efficacy vs crizotinib and chemotherapy, respectively; however, no studies have directly compared these TKIs. We report a NMA to compare the efficacy/safety of these therapies. Methods: A SLR was conducted to identify ALK+ mNSCLC randomized controlled trials (RCTs) in treatment-naïve pts. Efficacy/safety endpoints were extracted and the feasibility of using the data in a NMA was assessed. Data were analyzed using a fixed effect analysis in WinBUGs following NICE guidelines. Results: 1194 citations were identified, of which 4 RCTs were in treatment-naïve pts (ALEX [NCT02075840], ASCEND-4 [NCT01828099], PROFILE 1014 [NCT01154140] and PROFILE 1029 [NCT01639001]). All were open-label, phase III RCTs and pts were similar in terms of age, ECOG PS, disease stage, sex and smoking status. More pts had baseline CNS metastasis (mets) in ALEX (40%) vs the other trials (26-32%). PROFILE 1029 was conducted in East Asian pts and only included in a sensitivity analysis. Chemotherapy arms differed in that pemetrexed maintenance was included in ASCEND-4 but not in the PROFILE studies. Key efficacy/safety results are shown in the Table. Data from the sensitivity analyses were similar. Conclusion: Alectinib significantly improved progression-free survival compared with other treatments in the ITT population including in pts with baseline CNS mets. Alectinib showed significantly fewer grade 3-4 AEs than ceritinib. The difference in chemotherapy arms of the 2 trials may have impacted the NMA efficacy results. Table. NMA results in treatment-naïve ALK+ mNSCLC patientsComparisonEfficacy/Safety Endpoints PFS by IRC* HR (95% CrI)Subgroup CNS Mets at Baseline* PFS by IRC HR (95% CrI)OS* HR (95% CrI)Grade 3 or 4 AEs§OR (95% CrI)Alectinib vs chemotherapy0.23 (0.15-0.34)0.21 (0.10-0.44)0.63 (0.34-1.15)0.81 (0.44-1.52)Alectinib vs crizotinib0.50 (0.36-0.70)0.37 (0.22-0.63)0.76 (0.49-1.20)0.65 (0.41-1.04)Alectinib vs ceritinib0.41 (0.25-0.67)0.31 (0.13-0.71)0.85 (0.42-1.73)0.36 (0.17-0.79)Crizotinib vs chemotherapy0.45 (0.35-0.58)0.57 (0.35-0.93)0.82 (0.54-1.24)1.24 (0.81-1.91)Ceritinib vs chemotherapy0.55 (0.42-0.72)0.70 (0.44-1.11)0.73 (0.50-1.06)2.25 (1.42-3.61)Ceritinib vs crizotinib1.22 (0.84-1.79)1.22 (0.62-2.43)0.90 (0.52-1.57)1.82 (0.96-3.44)Statistically significant differences indicated in bold based on 95% CrI; *Hazard ratio <1 indicates lower hazard (higher likelihood of PFS or OS) compared with control; §Odds ratio <1 indicates lower odds of an event compared with control. AEs, adverse events; CNS, central nervous system; CrI, credible interval; HR, hazard ratio; IRC, independent review committee; Mets, metastases; OR, odds ratio; OS, overall survival; PFS, progression-free survival Citation Format: Anna Steenrod, Michelle Orme, Katherine S. MacGilchrist, Rachel Rosenthal, Juliane Schaefer, Vlatka Smoljanovic, Emmanuel Mitry, Parneet K. Cheema. Alectinib in treatment-naïve anaplastic lymphoma kinase-positive (ALK+) metastatic non-small-cell lung cancer (mNSCLC): Systematic literature review (SLR) and network meta-analysis (NMA) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1642.

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)0.013
metaresearch head score (Gemma)0.031
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.031
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0120.024
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.079
GPT teacher head0.435
Teacher spread0.356 · 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
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

Citations0
Published2018
Admission routes1
Has abstractyes

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