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Record W2048856583 · doi:10.4161/onci.29243

Tumor-associated autoantibodies correlate with poor outcome in prostate cancer patients treated with androgen deprivation and external beam radiation therapy

2014· article· en· W2048856583 on OpenAlexafffund
Lisa D. Johnson, Nancy J. Nesslinger, Paul Blood, Navraj Chima, L. Richier, Charles Ludgate, Howard Pai, Jan Lim, Brad H. Nelson, María T. Vlachaki, Julian J. Lum

Bibliographic record

VenueOncoImmunology · 2014
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversity of British ColumbiaBC Cancer AgencyUniversity of Victoria
FundersBC Cancer AgencyCanadian Institutes of Health Research
KeywordsMedicineProstate cancerAutoantibodyAndrogen deprivation therapyCancerOncologyRadiation therapyProstate-specific antigenInternal medicineAndrogenImmune systemAndrogen suppressionImmunologyAntibodyHormone

Abstract

fetched live from OpenAlex

Standard cancer treatments trigger immune responses that may influence tumor control. The nature of these responses varies depending on the tumor and the treatment modality. We previously reported that radiation and androgen-deprivation therapy (ADT) induce tumor-associated autoantibody responses in prostate cancer patients. This follow-up analysis was conducted to assess the relationship between autoantibody responses and clinical outcome. Patients with non-metastatic prostate cancer received external beam radiation therapy (EBRT) plus neoadjuvant and concurrent androgen deprivation. Treatment-induced autoantibodies were detected in almost a third of patients receiving combinatorial ADT and EBRT. Unexpectedly, patients that developed autoantibody responses to tumor antigens had a significantly lower 5-year biochemical failure-free survival (BFFS) than patients that did not develop an autoantibody response. Thus, tumor-reactive autoantibodies may be associated with increased risk of biochemical failure and immunomodulation to prevent autoantibody development may improve BFFS for select, high-risk prostate cancer patients receiving both ADT and EBRT.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.445

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)0.0000.000

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 head0.013
GPT teacher head0.283
Teacher spread0.270 · 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

Citations5
Published2014
Admission routes2
Has abstractyes

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