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Record W1185608525

Molecular RB1 gene detection of minimal residual disease in metastatic retinoblastoma

2006· article· en· W1185608525 on OpenAlexaff
Helen S. L. Chan, Diane Rushlow, John Doyle, James A. Williams, Esteban Abella, Élise Héon, Brenda L. Gallie

Bibliographic record

VenueCancer Research · 2006
Typearticle
Languageen
FieldMedicine
TopicOcular Oncology and Treatments
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsRetinoblastomaBone marrowPathologyNeuroblastomaEnucleationAlleleCancer researchMinimal residual diseaseMedicinePrimary tumorBiologyCancerGeneMetastasisInternal medicineGeneticsCell culture
DOInot available

Abstract

fetched live from OpenAlex

Proc Amer Assoc Cancer Res, Volume 47, 2006 4349 Purpose: Cure of metastatic retinoblastoma (RB) depends on chemotherapy with or without radiation to first reduce the systemic and central nervous system tumor load, followed by marrow-ablative chemotherapy and marrow rescue with stem cell transplant. We propose that the search for RB1 mutant alleles may be useful for assessing the completeness of the remission at the molecular level. This also allows monitoring for the absence of contaminating tumor cells in the stem cells harvested prior to transplant. Method: We developed a highly sensitive allele-specific PCR assay, to detect RB1 mutant alleles in the tumor cells, which are not present in the normal cells, in two children with metastatic but non-germline RB. Child A, age 2.6 years, had tumor infiltrating the orbit and extending intracranially with tumor cells in the cerebrospinal fluid (CSF), 1.6 years after enucleation of one eye for unilateral RB. Child B, age 2.5 years, had tumor infiltrating soft tissues and bone at the base of the skull with bone marrow involvement, 0.5 years after enucleation of one eye for unilateral RB. Results: RB1 mutations of both recurrent tumors were first identified by sequence analysis. The tumor of Child A was homozygous for R251X, and the tumor of Child B was homozygous for R358X. The allele-specific PCR assay was then used to detect the tumor RB1 mutant alleles. Both children had no tumor RB1 mutant alleles detectable in the normal cells in their peripheral blood. In Child A, the assay resolution was adequate to detect the R251X mutation at as low as 1:12,800 dilution, but serial CSF samples during and after chemotherapy showed no detectable R251X mutant. In Child B, the R358X mutation could be detectable at the 1:500 dilution level in the initial bone marrow sample, but serial bone marrow samples during and after chemotherapy showed no detectable R358X mutant. The peripheral blood stem cells harvested from both children also did not show their specific RB1 mutant alleles. Absence of RB1 mutant signals in post-chemotherapy CSF or bone marrow samples and the harvested stem cells supported the suitability of both children proceeding to consolidation with autologous stem cell transplant aimed at curing their metastatic RB. Conclusion: Molecular assaying for the tumor-specific RB1 mutations is complementary to conventional cytological and immunohistochemical evaluations of RB involvement of the CSF and bone marrow. This novel diagnostic tool is very sensitive for assessing minimal residual disease, detecting extraocular RB tumor cells in numbers much lower than possible by conventional methods. Molecular management holds particular promise for evaluating the efficacy of systemic treatment strategies for metastatic RB.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.042
GPT teacher head0.402
Teacher spread0.360 · 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 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

Citations0
Published2006
Admission routes1
Has abstractyes

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