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Abstract P1-06-04: The predictive value of tumor-stroma ratio for radiological and pathological response to neoadjuvant chemotherapy in breast cancer (BC): A Dutch breast cancer trialists’ group (BOOG) side-study. Cancer Res 2013. [DOI: 10.1158/0008-5472.sabcs13-p1-06-04] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background
Intra-tumoral stroma interacts with tumor cells and has a profound effect on tumor behavior. The tumor-stroma ratio (TSR) is of prognostic value in BC and other types of solid tumors. However, the predictive value of this parameter for achieving pathological complete response (pCR) after neoadjuvant chemotherapy is unknown.
Methods
We evaluated the relation between TSR and neoadjuvant treatment response in a retrospective cohort of 69 patients (pts) treated with various regimens of neoadjuvant chemotherapy at our institution who were diagnosed with BC between 1991 and 2007 and of whom radiological response was recorded. The percentage of intra-tumoral stroma was visually estimated on diagnostic sections from primary tumor tissue by two observers. The cut-off point between stroma-rich and stroma-poor tumors was set to 50% (as determined in previous investigations). These results were validated in a cohort from the NEOZOTAC trial: a national, multicenter, randomized study comparing the efficacy of TAC (docetaxel, adriamycin and cyclophosphamide i.v. day 1) chemotherapy with or without zoledronic acid 4 mg i.v., q 3 weeks, 6 times in 250 pts with stage II/III, measurable, HER2-negative BC. Radiological response (complete or partial) was evaluated following RECIST 1.1 criteria. pCR was centrally revised and defined as absence of residual tumor cells in the original tumor bed.
Results
In the retrospective cohort (n = 69) 62.3% of the specimens were classified as stroma-rich. In univariate analysis TSR was significantly associated with radiological response (76.0% stroma-poor vs. 48.8% stroma-rich, P = 0.03). This finding persisted after multivariate analysis for T-status, N-status and ER-status (Odds Ratio [OR] 0.17, 95% C.I.: 0.04-0.78). In the validation set, in which 47.9% of the specimens were stroma-rich (211 cases evaluated), TSR did not predict for radiological response (79.5% stroma-poor vs. 79.2%, P = 0.96). However, when validation data were split on basis of ER-status, TSR was a significant and independent predictor for radiological response in ER-negative pts. (89.5% vs. 50%, P = 0.048, 95% C.I.: 0.01 - 0.98). In the validation set, TSR predicted for pCR with greater pCR rates in stroma-poor tumors (P = 0.03, 22.7% vs 10.3%). Final response results of the pilot and the enlarged sample size of all 250 pts of the validation set will be presented.
Conclusions
TSR might be a marker for radiological and pathological response to neoadjuvant chemotherapy, especially for the ER- tumor subgroup. Considering the simplicity and low cost of TSR assessment, it should be further evaluated and will be prospectively studied in the next neoadjuvant chemotherapy trial of the BOOG.
Contact information:
Dr. J.R. Kroep, M.D., Ph.D., Department of Medical Oncology, email:j.r.kroep@lumc.nl or T.J.A. Dekker, MSc. Department of Surgery and Medical Oncology, email: t.j.a.dekker@lumc.nl or LUMC datacenter, Department of Surgery, phone +31(0)71-5263500, fax +31(0)71-5266744, email: datacenter@lumc.nl, Leiden University Medical Center (LUMC), Leiden, The Netherlands.
Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P1-06-04.
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PD02-07: Models Predicting Non-Sentinel Node Involvement in Breast Cancer Also Predict for Regional Recurrence If the Axilla Is Not Treated. Cancer Res 2011. [DOI: 10.1158/0008-5472.sabcs11-pd02-07] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background
Series on breast cancer patients with sentinel node (SN) isolated tumor cells or micrometastases show low recurrence rates in the presence of SN isolated tumor cells, and varying recurrence rates in the presence of SN micrometastases. Non-SN prediction models are frequently used as a decision aid to identify patients that may not need axillary treatment, but this still needs to be validated in respect to regional recurrence.
Patients and Methods
We followed a cohort of 486 patients in the MIRROR-study of whom none received axillary treatment with favorable primary tumor characteristics and pN0(i+)(sn) or pN1(mi)(sn) for a median of 5 years. The patients were categorized into low or high-risk subgroups based on several published non-SN prediction models (cut-off levels between models varied from 3 to 10%), i.e. the Tenon Scoring system, MSKCC nomogram, Stanford nomogram and a Dutch model (Bolster et al.). The primary endpoint was 5-year regional recurrence-free survival.
Results
The overall 5-year regional recurrence rate was 3.0% (+/− 0.1%). Using the Tenon scoring system, we identified 438 patients with a low risk score of 3.5 or lower with a 5-year regional recurrence rate of 2.3% (+/− 0.8%), compared to a recurrence rate of 10.1% (+/− 0.4%) in 48 patients with a score above 3.5. For the MSKCC nomogram a low risk score of 0.10 or lower identified 300 patients with a 5-year recurrence rate of 2.8% (+/− 1.1%), and a score above 0.10 identified 166 patients with a recurrence rate of 3.4% (+/− 1.5%) (20 patients not assessable). By the Stanford nomogram a low risk cutoff level of 10% identified 21 patients without recurrence, whereas 465 patients had a 3.2% (+/−0.9%) recurrence rate. Using a Dutch model, a low risk cutoff score of 20 discriminated between 384 patients with a 5-year recurrence rate of 2.2% (+/− 0.8%) and 102 patients with a recurrence rate of 6.3% (+/− 2.9%). Further analyses with different cut-off values and subgroups will be presented at the conference.
Conclusion
Using several published non-SN prediction models for predicting regional recurrence, the Tenon scoring system outperformed the other models in that it identified the largest subgroup of patients with a low recurrence rate. We would recommend axillary treatment in patients classified as high risk according to the Tenon score.
Funding: Netherlands Organization for Health Research and Development (ZonMw 945-06-509).
Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr PD02-07.
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