MétaCan
Menu
Back to cohort
Record W2561692137 · doi:10.1093/neuonc/now265

Long-term control and partial remission after initial pseudoprogression of glioblastoma by anti–PD-1 treatment with nivolumab

2016· article· en· W2561692137 on OpenAlexfundno aff
Patrick Roth, Antonios Valavanis, Michael Weller

Bibliographic record

VenueNeuro-Oncology · 2016
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsnot available
FundersUniversity of TorontoNational Institute for Health and Care Research
KeywordsNivolumabGlioblastomaMedicineOncologyTerm (time)Internal medicineCancerImmunotherapyCancer research

Abstract

fetched live from OpenAlex

Immunotherapy has long been considered a promising treatment approach without, however, making significant overall progress over several decades. Only with the introduction of immune checkpoint inhibitors and advanced vaccines have these drugs gained widespread use in oncology. The role of immune checkpoint inhibitors such as antibodies blocking programmed cell death (PD)-1 signaling against primary brain tumors remains to be determined, since data from randomized trials are lacking so far.1,2 Still, it has already been recognized that various immunotherapeutic strategies may result in imaging changes which represent a challenge in differentiating true tumor progression from immune-related pseudoprogression. We report on a 60-year-old patient in whom glioblastoma was diagnosed in 2014. Molecular profiling revealed no isocitrate dehydrogenase mutation and an unmethylated O6-methylguanine DNA methyltransferase promoter status. The patient underwent standard treatment consisting of radiotherapy with concomitant temozolomide chemotherapy followed by 6 cycles of maintenance temozolomide. MRI after completion of 6 cycles of temozolomide demonstrated increased contrast enhancement indicating tumor progression, which was further corroborated by perfusion imaging. A decision was made to initiate treatment with the PD-1 inhibitor nivolumab within a clinical trial. Clinically, the patient presented in overall good performance status but had episodes with pronounced aphasia that required transient treatment with steroids. MRI after 3 months of PD-1 inhibitor therapy demonstrated increased edema and contrast enhancement (Fig. 1). Because of the clinically stable situation, a decision was made to continue nivolumab therapy. Subsequent MR imaging revealed a continuous shrinking of the tumor, and the patient has now been on nivolumab treatment for almost 2 years (Fig. 1). Treatment with nivolumab was tolerated without relevant toxicity and the patient has been clinically stable without needing further steroid medication. T1-weighted contrast-enhanced MRI showing stable disease during (9/2014) and tumor progression after 6 cycles of maintenance temozolomide (11/2014). Tumor progression was confirmed by MR perfusion (bottom). The MRI scan 3 months after initiation of nivolumab treatment (3/2015) demonstrates increased contrast enhancement and pronounced edema. Subsequent MRI scans during ongoing nivolumab treatment indicate partial remission and durable tumor control. The clinical and imaging course of this patient highlights the potential therapeutic activity, but also the challenges associated with the use of PD-1 inhibitors in glioblastoma patients. First, it must be assumed that the therapeutic effects following PD-1 inhibition may only occur after several months of treatment, most likely because of the delayed reinvigoration of the immune system. Furthermore, antitumor immune responses may be associated with increased edema and contrast enhancement due to immune cell infiltration and inflammation. The corresponding MR findings need to be interpreted with caution, since the differentiation of immune-related pseudoprogression and true progression can be challenging. This has been addressed by the recently developed immunotherapy Response Assessment for Neuro-Oncology (iRANO) criteria.3 Hence, premature cessation of PD-1 inhibitor therapy should be avoided in order to allow these drugs to fully exert their therapeutic potential. In summary, this is one of the first reports supporting the idea that PD-1 inhibition can exert strong therapeutic activity against glioblastoma. Furthermore, the clinical course over almost 2 years as well as the MRI findings suggest that PD-1 inhibition may result in long-lasting tumor control following initial pseudoprogression. This work was supported by a grant from the Canton of Zurich (HSM-2). Conflict of interest statement. Patrick Roth has received honoraria from MSD, Roche, Novartis, and Molecular Partners for advisory board participation or lectures. Antonios Valavanis reports no disclosures. Michael Weller has received research grants from Acceleron, Actelion, Bayer, Isarna, MSD, Merck & Co, Novocure, PIQUR, and Roche and honoraria for lectures or advisory board participation or consulting from Celldex, Immunocellular Therapeutics, Isarna, Magforce, MSD, Merck & Co, Northwest Biotherapeutics, Novocure, Pfizer, Roche, and Teva.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.010
GPT teacher head0.290
Teacher spread0.280 · 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 designBench or experimental
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

Citations48
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueNeuro-OncologySame topicGlioma Diagnosis and TreatmentFrench-language works237,207