The prognostic significance of Ki67 before and after neoadjuvant chemotherapy in breast cancer

2008 ◽  
Vol 116 (1) ◽  
pp. 53-68 ◽  
Author(s):  
Robin L. Jones ◽  
Janine Salter ◽  
Roger A’Hern ◽  
Ash Nerurkar ◽  
Marina Parton ◽  
...  
ESMO Open ◽  
2018 ◽  
Vol 3 (6) ◽  
pp. e000305 ◽  
Author(s):  
Wataru Goto ◽  
Shinichiro Kashiwagi ◽  
Yuka Asano ◽  
Koji Takada ◽  
Katsuyuki Takahashi ◽  
...  

BackgroundTumour-infiltrating lymphocytes (TILs) can be used to monitor the immune tumour microenvironment (iTME) and predict treatment response and outcome in breast cancer. We evaluated the prognostic significance of the levels of CD8+ TILs and forkhead box protein (FOXP3)-positive TILs before and after neoadjuvant chemotherapy (NAC).Patients and methodsWe examined 136 patients with breast cancer treated with NAC. The number of CD8+ TILs and FOXP3+ TILs in biopsy specimens and residual tumours was evaluated by immunohistochemistry.ResultsPatients with a high rate of change in the CD8/FOXP3 ratio (CFR) had significantly better recurrence-free survival (RFS) (p<0.001, log-rank). In multivariate analysis, the rates of change in the CD8+ TIL levels and the CFR were independent predictors for RFS (HR=2.304, p=0.036 and HR=4.663, p<0.001). In patients with triple-negative and hormone receptor-positive breast cancer, the rate of change in the CFR was an independent predictor for RFS (HR=13.021, p=0.002 and HR=4.377, p=0.003).ConclusionImprovement in the iTME following NAC is correlated with good outcome. The rate of change in the CFR may be a useful biomarker to predict prognosis of patients treated with NAC.


2009 ◽  
Vol 27 (8) ◽  
pp. 1160-1167 ◽  
Author(s):  
Joel S. Parker ◽  
Michael Mullins ◽  
Maggie C.U. Cheang ◽  
Samuel Leung ◽  
David Voduc ◽  
...  

Purpose To improve on current standards for breast cancer prognosis and prediction of chemotherapy benefit by developing a risk model that incorporates the gene expression–based “intrinsic” subtypes luminal A, luminal B, HER2-enriched, and basal-like. Methods A 50-gene subtype predictor was developed using microarray and quantitative reverse transcriptase polymerase chain reaction data from 189 prototype samples. Test sets from 761 patients (no systemic therapy) were evaluated for prognosis, and 133 patients were evaluated for prediction of pathologic complete response (pCR) to a taxane and anthracycline regimen. Results The intrinsic subtypes as discrete entities showed prognostic significance (P = 2.26E-12) and remained significant in multivariable analyses that incorporated standard parameters (estrogen receptor status, histologic grade, tumor size, and node status). A prognostic model for node-negative breast cancer was built using intrinsic subtype and clinical information. The C-index estimate for the combined model (subtype and tumor size) was a significant improvement on either the clinicopathologic model or subtype model alone. The intrinsic subtype model predicted neoadjuvant chemotherapy efficacy with a negative predictive value for pCR of 97%. Conclusion Diagnosis by intrinsic subtype adds significant prognostic and predictive information to standard parameters for patients with breast cancer. The prognostic properties of the continuous risk score will be of value for the management of node-negative breast cancers. The subtypes and risk score can also be used to assess the likelihood of efficacy from neoadjuvant chemotherapy.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Heba F. Taha ◽  
Ola M. Elfarargy ◽  
Reham A. Salem ◽  
Doaa Mandour ◽  
Amira A. Salem ◽  
...  

Abstract Background Introducing neoadjuvant chemotherapy (NCT) in a breast cancer patient may be associated with changes in estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth hormone receptor 2 (HER2) status. Method In our prospective cohort study, we evaluated the impact of change in estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth hormone receptor 2 (HER2) on the prognosis of breast cancer patients treated with neoadjuvant chemotherapy (NCT). We investigated 110 patients with locally advanced breast cancer for ER, PR and HER2 status of their lesions before and after NCT. Result For hormone receptor status (HR) (which include ER, PR) of the residual tumor of the patients after receiving NCT, 12 (10.9%) of them changed from HR (+) to HR (−) and 15 (13.6%) changed from HR (−) to HR (+). For HER2 status after NCT, 8 (7.3%) patients changed from HER2 (+) to HER2 (−) and 9 (8.2%) patients changed from HER2 (−) to HER2 (+). Triple negative (TN) tumor phenotype changes occurred in 17 (15.5%) patients. Patients for whom the HR status changed from positive to negative had poor prognosis for both disease-free survival (DFS) and overall survival (OS) in univariate survival analysis. Conclusion Changes in ER, PR, HER2 status and tumor phenotype in breast cancer patients after NCT had a negative prognostic impact and were associated with a poor prognosis.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e12605-e12605
Author(s):  
Alexander Philipovskiy ◽  
Sumit Gaur ◽  
Karen Chambers ◽  
Roberto Gamez ◽  
Renato Aguilera ◽  
...  

e12605 Background: Triple-negative breast cancer (TNBC) is a heterogeneous subtype of breast cancer (BC) characterized by the absence of targetable receptors. Traditionally, neoadjuvant chemotherapy (NACT) has been used to downstage the tumors and increase the chance for breast-conserving surgery. The pathological complete response (pCR) has been traditionally considering the best predictive marker for the disease recurrence. Patients with residual disease (RD) have a poor prognosis with a high risk of recurrence, and therefore additional chemotherapy was recommended. Therefore it is an important task for clinical researchers to identify markers to predict the individual tumor response to chemotherapy and avoid in patients potentially resistant tumors. Instead, a surgical approach can be used or combined approach with chemotherapy and immunotherapy. It is not clear yet which approach is optimal for those patients with chemotherapy-resistant tumors since there is no clinical data available and no clinical tool that helps predict the individual tumor response. In this study, we examined breast ultrasound(US) images of patients before and after the completion of NACT and correlated with response to chemotherapy. To better understand the biology of resistance to chemotherapy, we also analyzed the gene expression profile of 15 patients with RD after NACT. Methods: In this study, we retrospective analyzed breast US data from 37 Hispanic patients diagnosed with TNBC and treated with NACT. Patients underwent breast US before and after NACT with documentation of clinical complete response (cCR) or clinical residual disease (cRD). Post-operatively, the pathologic response was defined as the absence of tumor cells (pCR) or presence of residual invasive tumor (RD). A multivariable logistic regression model assessed the influence of patient- and tumor-associated covariates as predictors for pCR. Also, we analyzed formalin-fixed paraffin-embedded tumor samples from 15 patients with RD after NACT. Results: Seventeen patients (45.9%) achieved pCR, and twenty (54.1%) had RD after NACT. The most common US findings connected with RD was the deposition of calcium before NACT six (30%) patients. Gene expression analysis of RD samples identified 446 upregulated and 275 downregulated genes. Among commonly upregulated genes related to cancer, we identified GLI1, IGF1, SERPINE1, ATF3, KLK 5; 7, and TUBB2b, and genes belonging to pathways encoding extracellular matrix–related proteins, DNA-damage response proteins, and pathways related to resistance to chemotherapeutic agents such as Taxol. Conclusions: Our data suggested that gene expression profiling in combination with imaging study can be used to identify patients with TNBC potentially resistant to chemotherapy.


2019 ◽  
Vol 26 (11) ◽  
pp. 3502-3509 ◽  
Author(s):  
Stephanie M. Wong ◽  
Nora Almana ◽  
Jungeun Choi ◽  
Jiani Hu ◽  
Haley Gagnon ◽  
...  

2004 ◽  
Vol 22 (2) ◽  
pp. 248-256 ◽  
Author(s):  
Lajos Pusztai ◽  
Savitri Krishnamurti ◽  
Jorge Perez Cardona ◽  
Nour Sneige ◽  
Francisco J. Esteva ◽  
...  

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