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Abstract GS02-07: Loco-Regional Irradiation in Patients with Biopsy-proven Axillary Node Involvement at Presentation Who Become Pathologically Node-negative After Neoadjuvant Chemotherapy: Primary Outcomes of NRG Oncology/NSABP B-51/RTOG 1304

2024· article· en· W4396591029 on OpenAlexaff
Eleftherios P. Mamounas, Hanna Bandos, Julia White, Thomas B. Julian, Atif J. Khan, Simona F. Shaitelman, Mylin A. Torres, Frank A. Vicini, Patricia A. Ganz, Susan A. McCloskey, Nilendu Gupta, X. Allen Li, Peter C. Lucas, Nadeem Abu-Rustum, Saumil Gandhi, Rahul D. Tendulkar, Robert L. Coleman, Keiichi Fujiwara, Samantha A. Seaward, William Irvin, Kristin Higgins, Robert W. Mutter, Jean-François Boileau, Andrew A. Muskovitz, Reshma Jagsi, Anna Weiss, Curran Walter, Norman Wolmark

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldMedicine
TopicCancer Diagnosis and Treatment
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMedicineOncologyInternal medicineBiopsyChemotherapyNode (physics)Presentation (obstetrics)Radiology

Abstract

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Abstract Background: The benefit of adjuvant regional nodal irradiation including the chest wall after mastectomy (CWI+RNI) and with whole breast irradiation (WBI+RNI) after breast conserving surgery (BCS) is well established in pts with pathologically positive axillary nodes (pN+). Pts who present with axillary node involvement (cN+), receive neoadjuvant chemotherapy (NC), and are found to be pathologically node-negative at surgery (ypN0), have lower loco-regional recurrence (LRR) rates compared to those who remain pathologically node-positive (ypN+). This phase III, randomized trial aimed to evaluate whether CWI+RNI after mastectomy or addition of RNI to WBI after BCS significantly improves invasive breast cancer recurrence-free interval (IBC-RFI) in cN+ pts found to be ypN0 after NC. Methods: Eligible pts had clinical cT1-3, N1, M0 invasive breast cancer (biopsy-proven N+ by FNA/core needle bx), completed ≥8 wks of NC (and anti-HER2 therapy if HER2+), and were ypN0 after mastectomy or BCS and sentinel node biopsy (SLNB, ≥2 nodes), axillary lymph node dissection (ALND), or both. Pts were randomized to “No RNI” (i.e., observation after mastectomy or WBI after BCS) vs. “RNI” (i.e., CWI+RNI after mastectomy or WBI+RNI after BCS). Primary endpoint was IBC-RFI. Secondary endpoints reported here: LRR-free interval (LRRFI), distant recurrence-free interval (DRFI), disease-free survival (DFS), and overall survival (OS). Study was designed to have 80% power to detect 35% reduction in annual rate of IBC-RFI for an absolute risk reduction of 4.6% (5-yr cumulative rate). Per protocol, final analysis was to occur after 172 events or 10 yrs after study initiation.Here we report the time-driven analysis prespecified in the protocol. Results: From 9/13-12/20, 1,641 pts were enrolled; 1,556 pts were available for primary event analysis; median f/u time 59.5 mos (IQR 40.7-74.1). Pt/tumor characteristics were well balanced between groups. Median age 52 yrs (range 21-84); 31% non-white; 21% cT1, 60% cT2, 19% cT3; 23% triple-negative, 21% HR+/HER2-, 56% HER2+; 58% BCS; 55% SLNB, 45% ALND+/-SLNB; and 78% had breast pathologic complete response. At the time of the analysis, 109 IBC-RFI events (63% of the planned 172) were confirmed (“No RNI”: 59, “RNI”: 50). There was no statistically significant difference between groups for IBC-RFI (HR=0.88, 95%CI 0.60-1.29; p=0.51), 5-yr point estimates: 91.8% for “No RNI” and 92.7% for “RNI.” There were no statistically significant differences between the treatment groups for secondary endpoints. There were no study-related deaths and no unexpected toxicities.Grade 4 toxicity was rare (0.1% with “No RNI”, 0.5% with “RNI”); 6.5% of pts developed grade 3 toxicity in “No RNI” and 10% in “RNI” group. Most common grade 3 toxicity was radiation dermatitis (3.3% in “No RNI,” 5.7% in “RNI”). Conclusion: In pts who present with biopsy-proven axillary node involvement and convert their axillary nodes to ypN0 after NC, CWI+RNI after mastectomy, or WBI+RNI after BCS, did not significantly improve IBC-RFI, LRRFI, DRFI, DFS, or OS. These findings suggest that downstaging involved axillary nodes with NC can result in optimization of adjuvant radiotherapy without adversely affecting oncologic outcomes. Follow-up of pts for long-term outcomes continues. NCT01872975 *EPM and JW are co-first authors. Table 1 Citation Format: Eleftherios Mamounas, Hanna Bandos, Julia White, Thomas Julian, Atif Khan, Simona Shaitelman, Mylin Torres, Frank Vicini, Patricia Ganz, Susan McCloskey, Nilendu Gupta, X. Allen Li, Peter Lucas, Nadeem Abu-Rustum, Saumil Gandhi, Rahul Tendulkar, Robert Coleman, Keiichi Fujiwara, Samantha Seaward, William Irvin, Kristin Higgins, Robert Mutter, Jean-Francois Boileau, Andrew Muskovitz, Reshma Jagsi, Anna Weiss, Curran Walter Jr., Norman Wolmark. Loco-Regional Irradiation in Patients with Biopsy-proven Axillary Node Involvement at Presentation Who Become Pathologically Node-negative After Neoadjuvant Chemotherapy: Primary Outcomes of NRG Oncology/NSABP B-51/RTOG 1304 [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr GS02-07.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.049
GPT teacher head0.378
Teacher spread0.330 · 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 designNon-randomized 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".

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Citations63
Published2024
Admission routes1
Has abstractyes

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