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P2-12-27: Simply Adding Together the Diameters of Tumor Foci in Patients with Multicentric or Multifocal Disease Does Not Add Any Additional Prognostic Information: An Analysis from NCIC CTG MA.12 Randomized Placebo-Controlled Trial of Tamoxifen after Adjuvant Chemotherapy in Pre-Menopausal Women with Early Breast Cancer.

2011· article· en· W2066539641 on OpenAlexaff
JF Hilton, Bin Dong, Nathaniel Bouganim, J-AW Chapman, Angel Arnaout, F P O’Malley, Torsten O. Nielsen, Karen A. Gelmon, Rinat Yerushalmi, Mark N. Levine, V. Bramwell, Timothy J. Whelan, Kathleen I. Pritchard, Lois E. Shepherd, Mark Clemons

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsMcMaster UniversityJuravinski Cancer CentreVancouver Hospital and Health Sciences CentreQueen's UniversityUniversity of TorontoPrincess Margaret Cancer CentreMount Sinai HospitalUniversity of CalgaryUniversity of OttawaUniversity of British ColumbiaOttawa HospitalBC Cancer Agency
Fundersnot available
KeywordsMedicineBreast cancerCancerOncologyInternal medicineTamoxifenStage (stratigraphy)

Abstract

fetched live from OpenAlex

Abstract Background: A common clinical conundrum in breast cancer management is whether pathologic T stage in women with multicentric or multifocal disease should be taken as the diameter of the largest focus or as the sum of all foci in the breast. Most staging systems, such as the American Joint Committee on Cancer (AJCC), simply use the largest tumor focus for staging. We examine here the impact of alternate methods of estimating tumour size including measures of total tumor size, volume and surface area. Materials & Methods: NCIC CTG MA.12 is a randomized placebo-controlled trial of tamoxifen after adjuvant chemotherapy for pre-menopausal women with early breast cancer. Median follow up is 9.7 years. Pathologically reported patient tumor dimensions for up to 3 foci were utilized to examine the effects of tumor size on Breast-Cancer-Free-Interval (BCFI), defined as the time from randomization until recurrence (defined as first local, regional, distant, or contralateral invasive tumor or DCIS). Tumor size was estimated as 1) pathologic T stage as per AJCC criteria; 2) largest dimension of largest tumor focus (cm); 3) sum of largest dimension(s) of tumor foci (cm); 4) sum of surface area(s) of tumor foci (cm2), and 5) sum of volume of tumor foci (cm3). Step-wise forward unstratified Cox regression was used to assess the different effects of tumor size. Results: This study accrued 672 patients, 43% with T1 tumors, 51% with T2 tumors, and 6% with T3/T4 tumors; 25% were node negative and 56% had 1–3 positive lymph nodes. 75% were locally determined to have hormone receptor positive tumors. A higher number of involved lymph nodes was associated with significantly shorter BCFI (p<0.0001). None of pathologic T stage (p=0.14), largest dimension of largest tumor size (p=0.14), sum of largest dimensions of tumor foci (p=0.24), sum of surface area (p=0.38), and sum of volume of foci (p=0.51) were significantly associated with BCFI. Likewise, lymphovascular invasion (p=0.08), grade (p=0.14), nor administration of anthracycline therapy (p=0.08) were associated with BCFI. Discussion: In the MA.12 population of pre-menopausal women randomized to either tamoxifen or placebo, the sole factor significantly associated with BCFI was nodal status. No measure of tumor size in unifocal or multicentric/multifocal tumors impacted BCFI. The findings of this mature data set suggest that simply adding together the diameters of tumors in patients with multicentric or multifocal disease did not add any additional prognostic information. Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P2-12-27.

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)0.006
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.012
GPT teacher head0.275
Teacher spread0.263 · 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 designRandomized trial
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
Published2011
Admission routes1
Has abstractyes

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