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Abstract P6-09-15: Mechanism of drug resistance in relation to sites of metastases: Meta-analyses of randomized controlled trials in advanced breast cancer

2017· article· en· W2594198507 on OpenAlexaff
Saroj Niraula, Alberto Ocaña

Bibliographic record

VenueCancer Research · 2017
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsUniversity of ManitobaCancerCare Manitoba
Fundersnot available
KeywordsMedicineOncologyInternal medicineBreast cancerRandomized controlled trialMetastatic breast cancerHazard ratioTargeted therapyEndocrine systemCancerMeta-analysisClinical trialConfidence intervalHormone

Abstract

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Abstract Background: Breast cancer is heterogeneous at different levels: biologic subtypes, intratumoral areas, and sites of metastases. In clinical studies, metastatic sites are usually classified as visceral or non-visceral, but this has little influence in treatment decisions particularly in the absence of clinical urgency. Indeed, it is unclear if response to new treatments differs among sites of metastatic lesions. Methods: Randomized controlled trials (RCTs) investigating 3 different anticancer strategies in metastatic breast cancer were identified: (1) Comparison of two endocrine strategies (2) Endocrine therapy and targeted therapy compared with endocrine therapy alone (3) New HER-2 targeted therapy compared with existing HER-2 targeted therapy RCTs reporting hazard ratios (HR) for Progression Free Survival (PFS) and Overall Survival (OS) for sub-groups based on sites of metastases were weighted using generic inverse variance approach, and pooled in meta-analyses using Revman 5.3. Subgroup difference was tested with Chi2 and heterogeneity with I2 statistics. Results: A total of 11 RCTs (6,701 pts) qualified. There was a significant difference in PFS between women with visceral Vs non-visceral metastases when two endocrine strategies were compared, with benefits limited to women with visceral metastases [Pooled HR 0.85; 95% CI, 0.77-0.95 Vs 1.02(0.88-1.18) for non-visceral; p(difference) 0.05]. However, combination of an endocrine therapy and a targeted therapy was associated with better PFS compared to endocrine therapy alone for both groups [HR 0.51(0.43-0.60) for visceral Vs 0.45(0.36-0.56) for non-visceral; p(difference) 0. 36]. Newer HER-2 targeted therapies were associated with significantly better PFS only in visceral but not in non-visceral metastases [HR 0.59 (0.52-0.66) Vs 0.71(0.44-1.13), p(difference) 0.45]. OS benefit with new HER-2 therapies was observed only for women with visceral metastases [HR 0.64 (0.56, 0.73) Vs 0.82 (0.57, 1.19), p(difference):0.20]. Summary of included studiesStudy/AuthorComparisonsN(Visceral)N(Non-Visceral)HR for PFS(Visceral))HR for PFS(Non-Visceral)Bergh et al.Endocrine Vs Endocrine2582560.81[0.63,1.04]1.10[0.86,1.41]Chia et al."3952980.88[0.74,1.05]1.01[0.81,1.26]Johnson et al."2811930.93[0.73,1.18]1.37[0.83,2.26]Mehta et al."3481950.79[0.63,0.99]0.84[0.62,1.14]BOLERO2Targeted + Endocrine Vs Endocrine4063180.45[0.35,0.58]0.42[0.28,0.63]PALOMA1"80850.55[0.32,0.95]0.29[0.09,0.93]PALOMA2"3243420.63[0.47,0.84]0.50[0.36,0.69]PALOMA3"3112100.47[0.34,0.65]0.55[0.45,0.67]CLEOPATRANew Vs Existing Anti-HER26301780.64[0.53,0.77]0.83[0.58,1.19]EMELIA"6693220.55[0.45,0.67]0.96[0.71,1.30]TH3RESA"4521500.56[0.44,0.71]0.41[0.26,0.65] Conclusion: Targeted + endocrine therapy combination results in concordant, superior PFS suggesting similar mechanisms of targetable endocrine resistance between metastatic sites. Discordant responses with endocrine strategy alone support use of targeted therapy, rather than change in endocrine agent at disease progression. New HER2 therapies display continued challenge of drug penetration to areas of limited vascularization (eg. soft tissue, bone) with no PFS or OS benefit in that group despite impressive benefits in overall population. Citation Format: Niraula S, Ocana A. Mechanism of drug resistance in relation to sites of metastases: Meta-analyses of randomized controlled trials in advanced breast cancer [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P6-09-15.

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)0.036
metaresearch head score (Gemma)0.072
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.036
Threshold uncertainty score0.191

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0360.072
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0170.068
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.213
GPT teacher head0.506
Teacher spread0.293 · 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 designMeta-analysis
Domainnot available
GenreReview

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".

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Citations0
Published2017
Admission routes1
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