Pregled bibliografske jedinice broj: 1073627
The role of different lymph node staging systems in predicting prognosis and determining indications for postmastectomy radiotherapy in patients with T1-T2pN1 breast carcinoma
The role of different lymph node staging systems in predicting prognosis and determining indications for postmastectomy radiotherapy in patients with T1-T2pN1 breast carcinoma // Strahlentherapie und Onkologie, 196 (2020), 11; 1044-1054 doi:10.1007/s00066-020-01669-x (međunarodna recenzija, članak, znanstveni)
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Naslov
The role of different lymph node staging
systems in predicting prognosis and determining
indications for postmastectomy radiotherapy in
patients with T1-T2pN1 breast carcinoma
Autori
Kustić, Domagoj ; Klarica Gembić, Tihana ; Grebić, Damir ; Petretić Majnarić, Silvana ; Nekić, Jasna
Izvornik
Strahlentherapie und Onkologie (0179-7158) 196
(2020), 11;
1044-1054
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Survival analysis ; Mastectomy ; Lymph node excision ; Radiation treatment ; Lymoh node ratio
Sažetak
Purpose: Based on the risk of locoregional recurrence (LRR), postmastectomy radiotherapy (PMRT) is recommended in T1-T2pN1 breast carcinoma (BC). We aimed to elucidate our institution strategies underlying the selection of these patients for PMRT. In No-PMRT subset, we compared various lymph node (LN) staging systems’ abilities to predict 5-year overall and locoregional-free survival (OS/LRFS). Methods: We retrospectively enrolled 548 women with T1- T2pN1 BC undergoing a mastectomy and axillary LN dissection. Depending on PMRT delivery, the participants were divided into the PMRT and No- PMRT groups. Predictors of OS/LRFS were calculated for No-PMRT group only. Based on Cox regression modelling, the number of positive LNs (PLN), negative LNs (NLN), LN ratio (LNR), log odds of PLN (LODDS), and modified LNR (mLNR) were modelled, each respectively, with OS model covariates (age, grade III, lymphovascular invasion (LVI), tumour size, hormone receptor (HR) status), and LRFS model covariates (age, grade III, LVI). Models’ Cstatistic, Akaike Information Criterion and Likelihood-Ratio χ² were compared. Results : Median follow-up was 60.5 (18-82), 61 (28-82), and 60 (18-80) months, for the entire cohort, PMRT and No-PMRT group, respectively. PMRT and No-PMRT groups had comparable OS (p =0.235). LRFS was better (p =0.030) in PMRT group comprising 105 subjects (19.16%), who were younger, more likely to have higher-grade, HR-, HER2+ tumours, more PLNs, fewer NLNs, Ki- 67≥20%, LVI and extranodal extension (p≤ 0.001). In No- PMRT group, LNR- based OS/LRFS models exhibited superior prognostic performance. Conclusion: In early- stage BC patients undergoing mastectomies, LN dissections and no PMRT, we propose LNR-based multivariable models to predict OS/LRFS with superior accuracy.
Izvorni jezik
Engleski
Znanstvena područja
Kliničke medicinske znanosti
POVEZANOST RADA
Ustanove:
Medicinski fakultet, Rijeka,
Klinički bolnički centar Rijeka
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE