MétaCan
Menu
← Back to cohort

Nivolumab (Nivo) and ipilimumab (Ipi) in combination with radiotherapy (RT) in high-risk patients (pts) with locally advanced squamous cell carcinoma of the head and neck (LA SCCHN).

2020· article· en· W3029103020 on OpenAlexfundno aff
Jennifer M. Johnson, Voichita Bar Ad, Emily Lorber, Dawn Poller, Gregor Manukian, Adam Luginbuhl, Joseph Curry, David M. Cognetti, Scott W. Keith, Rita Axelrod, Ulrich Rodeck, Larry A. Harshyne, Athanassios Argiris

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsnot available
FundersBristol-Myers Squibb Canada
KeywordsMedicineNivolumabMucositisInternal medicineIpilimumabOncologyRadiation therapyOdynophagiaChemotherapyGastroenterologyCancerImmunotherapyEsophagus

Abstract

fetched live from OpenAlex

6577 Background: Immune checkpoint inhibitors (ICI) are the standard of care in recurrent/metastatic SCCHN but their role in the curative therapy setting with RT is under study. We evaluated the novel approach of combining Nivo, a PD-1 inhibitor, and Ipi, a CTLA-4 inhibitor, in lieu of chemotherapy, with concurrent RT in pts with high-risk LA SCCHN. Methods: We enrolled newly diagnosed, chemotherapy eligible pts with AJCC 7th edition stage IVA-IVB SCCHN of the oral cavity, oropharynx (OP), hypopharynx, and larynx. HPV+ OP were T4, N2c or N3 OP. Nivo (3 mg/kg every 2 weeks IV x 17 doses) and Ipi (1 mg/kg every 6 weeks x 6 doses) were administered starting 2 weeks prior to the start of RT. RT was prescribed to a dose of 70 Gy delivered in 2 Gy/fraction/day using VMAT. The primary objective was safety of combination ICI with RT. Secondary objectives included 1-year progression-free survival (PFS), overall survival, and correlative studies. Results: 24 pts were enrolled; median age of 60 (range 48-77); 20 were male; 16 oropharynx (14 HPV+), 2 hypopharynx, and 6 larynx; AJCC 7th edition stage IVA (23), IVB (1). Grade 3 acute in-field adverse events (AEs) occurred in 17/24 (71%) of patients during concurrent ICI-RT (9 mucositis, 6 dysphagia, 5 dermatitis, 4 odynophagia, 1 dysphonia); there were no grade 4/5 AEs during ICI-RT. During ICI maintenance 5 pts developed in-field ulcerations at the primary site detected at an average of 3 months post RT; 1 of them died of bleeding due to erosion into the carotid artery with no evidence of active cancer; 4 additional pts developed in-field necrosis. 7 pts discontinued ICI treatment at > 3 months post-RT: 1 due to immune AE, 5 due to in-field ulcerations, 1 due to persistent mucositis without ulceration. 4 pts (17%) had grade 3 immune AEs: 1 elevation of lipase, 1 colitis, and 2 rash. There were no grade 4/5 immune AEs. The median follow-up is 16 months (range, 6.3-30.6). 21 of 24 pts (87.5%) are alive with no evidence of disease progression. 2 pts recurred at distant sites: 1 had a solitary lung lesion at 11 months and was treated with RT; 1 in mediastinal lymph nodes at 9 months and was treated with chemo-RT. Locoregional control remains at 100%. Conclusions: RT plus dual ICI combination was feasible and resulted in no locoregional relapses so far in 24 high-risk LA SCCHN pts. Longer follow-up is needed to fully assess PFS and locoregional control as well as post-treatment in-field ulceration/necrosis that may be attributed to the potent radiosensitizing effect of dual PD-1 and CTLA-4 blockade. Clinical trial information: NCT03162731 .

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.324
Teacher spread0.304 · 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 designNon-randomized trial
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

Citations6
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical Oncology→Same topicCancer Immunotherapy and Biomarkers→French-language works237,207→