MétaCan
Menu
Back to cohort

Clinical and molecular characteristics of early progressors (EPs) and long-term progression-free survivors (LTPs) from the phase 3 ADRIATIC trial of consolidation durvalumab (D) vs placebo (P) after concurrent chemoradiotherapy (cCRT) in limited-stage small-cell lung cancer (LS-SCLC).

2025· article· en· W4410820333 on OpenAlexaff
David A. Barbie, Mingchao Xie, Maria A.S. Broggi, Ying Cheng, David R. Spigel, Byoung Chul Cho, Jian Fang, Yuanbin Chen, Yoshitaka Zenke, Ki Hyeong Lee, Qiming Wang, Alejandro Navarro, E.L. Buchmeier, Mustafa Özgüroğlu, Christine L. Hann, Jocelyn Chen, W. Victoria Lai, Yashaswi Shrestha, Suresh Senan

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Research Studies
Canadian institutionsAstraZeneca (Canada)
Fundersnot available
KeywordsDurvalumabMedicinePlaceboChemoradiotherapyInternal medicineOncologyPhases of clinical researchClinical trialCancerPathologyPembrolizumabImmunotherapyAlternative medicine

Abstract

fetched live from OpenAlex

8014 Background: At the first planned interim analysis of ADRIATIC, consolidation D significantly improved the dual primary endpoints of overall and progression-free survival (PFS) vs P in patients (pts) with LS-SCLC and no progression after cCRT. We assess clinical characteristics, patterns of progression, and associated molecular biomarkers in EPs (pts with PFS <6 mos) and LTPs (PFS or censored after >12 mos) in the D and P arms. Methods: Pts with stage I–III LS-SCLC, WHO performance status (PS) 0/1, and no progression after cCRT were randomized to D (n=264), D + tremelimumab (n=200; arm still blinded), or P (n=266) for up to 24 months. Pre-cCRT tumor samples were collected at screening and immune-related biomarkers (CD8, MHC I, PD-L1, T-cell inflamed signature [TIS], CD8A , and STING pathway) were assessed by immunohistochemistry or RNA sequencing for their role in response to immunotherapy (IO). Results: At data cutoff (15 Jan 2024), 83 (31.4%) and 113 (42.8%) pts in the D arm and 97 (36.5%) and 100 (37.6%) in the P arm were EPs and LTPs, respectively. For EPs and LTPs, respectively: 67.5% and 61.1% in the D arm and 74.2% and 72.0% in the P arm were male; 44.6% and 54.9% in the D arm and 51.5% and 48.0% in the P arm had WHO PS 0; and 90.4% and 89.4% in the D arm and 91.8% and 89.0% in the P arm were current/former smokers. Among EPs, 47.0% vs 45.4% had extrathoracic (ET) only progression, 43.4% vs 43.3% had intrathoracic (IT) only progression, and 6.0% vs 1.0% died without progression in the D vs P arms, respectively. Among LTPs, 16.8% and 25.0% of pts in the D and P arms had progression events, which were mostly IT (D: 14.2%; P: 16.0%). Similar rates of PD-L1+ tumors were observed in EPs and LTPs in both arms (Table). Trends for higher TIS and STING pathway expression were seen in LTPs vs EPs in the D arm but not the P arm. CD8 density, and CD8A and MHC I expressions were lower in EPs vs LTPs in both arms, regardless of D vs P (Table). Conclusions: Exploratory analyses suggest similar rates of IT and ET progression with D and P in EPs, but mostly IT progression in LTPs. Compared with EPs, LTPs were generally characterized by a pre-cCRT tumor microenvironment more conducive to fostering an IO response, with higher antigen presentation and cytotoxic marker expression potentially enhancing D’s mechanism of action. Clinical trial information: NCT03703297 . D, EPs P, EPs D, LTPs P, LTPs PD-L1 TC or IC ≥1%, n (%) 25 (52.1) 32 (55.2) 40 (56.3) 42 (61.8) MHC I n, median TC score* (%) 42, 65.0 46, 75.0 66, 77.5 56, 80.0 CD8 density n, median cells/mm 2 39, 46.7 43, 50.7 57, 94.2 53, 78.7 RNASeq BEP, n 17 27 29 24 CD8A expression † 1.1 1.1 1.3 1.7 TIS value † 2.3 3.1 3.2 3.4 STING signature value † 0.28 1.4 0.90 1.4 *% MHC I-positive TCs in the total tumor area. † Median. BEP, biomarker-evaluable population; TC, tumor cell; IC, immune cell.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

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

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 head0.070
GPT teacher head0.502
Teacher spread0.433 · 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 teacher head, 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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical OncologySame topicLung Cancer Research StudiesFrench-language works237,207