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Record W2113151539 · doi:10.1158/1078-0432.ccr-07-1037

Molecular Alterations in Prostate Carcinomas that Associate with <i>In vivo</i> Exposure to Chemotherapy: Identification of a Cytoprotective Mechanism Involving Growth Differentiation Factor 15

2007· article· en· W2113151539 on OpenAlexaff
Chung-Ying Huang, Tomasz M. Beer, Celestia S. Higano, Lawrence D. True, Robert L. Vessella, Paul H. Lange, Mark Garzotto, Peter S. Nelson

Bibliographic record

VenueClinical Cancer Research · 2007
Typearticle
Languageen
FieldMedicine
TopicGDF15 and Related Biomarkers
Canadian institutionsImmunovaccine (Canada)
FundersNational Cancer InstituteU.S. Department of Veterans Affairs
KeywordsDocetaxelProstate cancerChemotherapyMitoxantroneMedicineCancer researchProstateProstatectomyCancerOncologyBiologyPathologyInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: To identify molecular alterations associating with in vivo exposure of prostate carcinoma to chemotherapy and assess functional roles modulating tumor response and resistance. EXPERIMENTAL DESIGN: Patients with high-risk localized prostate cancer (tumor-node-metastasis >or= T(2b) or prostate-specific antigen >or= 15 ng/mL or Gleason glade >or= 4+3) were enrolled into a phase II clinical trial of neoadjuvant chemotherapy with docetaxel and mitoxantrone followed by prostatectomy. Pretreatment prostate tissue was acquired by needle biopsy and posttreatment tissue was acquired by prostatectomy. Prostate epithelium was captured by microdissection, and transcript levels were quantitated by cDNA microarray hybridization. Gene expression changes associated with chemotherapy were determined by a random variance t test. Several were verified by quantitative reverse transcription PCR. In vitro analyses determining the influence of growth differentiation factor 15 (GDF15) on chemotherapy resistance were done. RESULTS: Gene expression changes after chemotherapy were measured in 31 patients who completed four cycles of neoadjuvant chemotherapy. After excluding genes shown previously to be influenced by the radical prostatectomy procedure, we identified 51 genes with significant transcript level alterations following chemotherapy. This group included several cytokines, including GDF15, chemokine (C-X-C motif) ligand 10, and interleukin receptor 1beta. Overexpression of GDF15 or exposure of prostate cancer cell lines to exogenous recombinant GDF15 conferred resistance to docetaxel and mitoxantrone. CONCLUSIONS: Consistent molecular alterations were identified in prostate cancer cells exposed to docetaxel and mitoxantrone chemotherapy. These alterations include transcripts encoding cytokines known to be regulated through the nuclear factor-kappaB pathway. Chemotherapy-induced cytokines and growth factors, such as GDF15, contribute to tumor cell therapy resistance and may serve as targets to improve responses.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 head0.071
GPT teacher head0.409
Teacher spread0.339 · 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 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

Citations66
Published2007
Admission routes1
Has abstractyes

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