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Record W2057270791 · doi:10.4161/onci.23687

Victories and deceptions in tumor immunology

2013· article· en· W2057270791 on OpenAlexaboutno aff
Guido Kroemer, Laurence Zitvogel, Lorenzo Galluzzi

Bibliographic record

VenueOncoImmunology · 2013
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsnot available
Fundersnot available
KeywordsTumor immunologyMedicineImmunologyImmune systemImmunotherapy

Abstract

fetched live from OpenAlex

The last year closed with negative news for tumor immunology. Stimuvax®, an investigational therapeutic anticancer vaccine that Merck licensed from the US biotech firm Oncothyreon, failed to increase overall survival in a Phase III clinical trial designed to evaluate its efficacy in a cohort of non-small cell lung carcinoma (NSCLC) patients.1 Stimuvax®, also known as L-BLP25 or BLP25, is a liposomal vaccine conceived to generate an immune response against mucin 1 (MUC1), a cell-surface glycosylated phosphoprotein that is frequently overexpressed by epithelial tumors, including NSCLC as well as breast, colorectal and pancreatic carcinomas.2 The failure of this Phase III clinical trial may be attributed to multiple distinct causes. First, it may be an illusion to achieve therapeutic effects with anticancer vaccines in patients affected by advanced tumors without simultaneously employing checkpoint inhibitors (such as anti-CTLA4 or anti-PD1 antibodies)3,4 or without attempting to re-establish immunosurveillance by other manipulations.5,6 Indeed, the progression of neoplastic lesions until an advanced (metastatic) stage is believed to require the subversion of natural anticancer immune responses, either as malignant cells actively inhibit immune effectors or upon the generation of escape variants that are not recognized by the immune system or are resistant to its attack.7 Second, NSCLC may represent a class of tumors that is particularly resistant to all sorts of immunotherapy. Indeed, there are relatively few studies postulating that the intra- or peritumoral infiltration of NSCLC by effector memory T cells would influence patient prognosis.8 In this sense, NSCLC differs from many other tumor types in which the density, composition and architecture of the immune infiltrate does affect the course of disease at both the prognostic and predictive level.8-10 Unfortunately, individuals affected by NSCLC are usually treated with chemotherapeutic regimens based on cisplatin, a platinum derivative that is rather inefficient, as (1) it is often associated with the development of chemoresistance,11 and (2) it induces a non-immunogenic form of cell death.12 Thus, chemotherapeutic regimens against NSCLC cannot be expected to stimulate major anticancer immune responses. Third, Stimuvax® may have been designed in a suboptimal fashion. Indeed, given the propensity of malignant cells to undergo immunoediting and generate escape variants,7 it may be a mistake to conceive vaccines that target one single tumor-associated antigen (TAA) instead of attempting to generate a broader immune response. Along similar lines, the adjuvant employed for Stimuvax® (a monophosphoryl lipid A-based formulation) might have negatively influenced its clinical performance, as adjuvants dictate both the intensity and the type of immune responses to considerable extents.13,14 Fourth, the design of the clinical trial may have been overoptimistic, as NSCLC patients have not been filtered at enrollment based on biomarker-based exclusion criteria. For instance, it might have been worthwhile to monitor MUC1 expression levels on surgical/bioptic material (and to exclude patients bearing MUC1-negative tumors); to determine the general immune status of patients (and to exclude individuals exhibiting low peripheral T lymphocyte counts or high levels of circulating or intratumoral immunosuppressive cells); and/or to evaluate immune responses against MUC1 or other TAAs at baseline (and to exclude patients with poor TAA-specific responses).15 In a press release, the coordinating investigator of the study, Frances Shepherd (University of Toronto, Canada) stated that “notable treatment effects were observed in certain subgroups of patients.” Obviously, such subgroup analyses will not reverse the deception of this trial in its legal aspects (FDA approval is precluded at this stage). However, they may convert this defeat into a long-term victory, provided that additional prospective, carefully designed Phase III trials yield positive results. Hopefully, Merck’s competitor GlaxoSmithKline, which has also launched a clinical study to investigate the efficacy of a therapeutic vaccine against NSCLC, will be more fortunate and learn the lessons exemplified by the Stimuvax® case.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.791
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.008
GPT teacher head0.252
Teacher spread0.244 · 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.

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

Citations49
Published2013
Admission routes1
Has abstractyes

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