Different Prognostic Implications of Residual Disease After Neoadjuvant Treatment: Impact of Ki 67 and Site of Response

HER2-positive is an independent indicator for predicting pathological complete response to neoadjuvant therapy and Ki67-changed after neoadjuvant chemotherapy predicts favorable prognosis in Chinese women with locally advanced breast cancer

The growing body of evidence suggests that breast cancer (BC) who achieve pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) may experience a more favorable prognosis. The objective of this study is to investigate the correlation between clinicopathologic parameters of locally advanced breast cancer (LABC) patients and the outcomes of NAC, with the aim of identifying predictive indicators for pCR. Additionally, we seek to examine the conversion of IHC markers in pCR patients following NAC and its impact on the prognosis of BC patients. We conducted a study involving 126 patients with LABC. Clinicopathological parameters associated with pCR were subjected to univariate and multivariate analysis. Kaplan-Meier (KM) curves and the log-rank test were used to compare the statistical difference in prognosis in different groups of patients. Additionally, we used difference and consistency tests to examine the conversion of immunohistochemistry (IHC) markers following NAC. The status of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and molecular subtypes of BC were associated with pCR in the univariate analysis (all P < .05), which may be potential markers to predict pCR. HER2 was identified as an independent factor for predicting pCR in the multivariate analysis. The pCR rate of HER2-positive patients who received NAC combined targeted therapy was higher than that of patients who only received NAC (P = .003). The disease-free survival (DFS) rate of TNBC patients who achieved pCR was significantly higher than that of non-pCR TNBC patients (P = .026). The IHC marker conversion after NAC mainly existed in PR (P = .041). Ki67 expression decreased in the luminal B subtype and increased in the HER2 enriched subtype after NAC (all P < .001). Patients with Ki67 expression change after NAC had longer overall survival (OS) and DFS than unchanged patients (all P < .05). HER2-positive is an independent indicator for predicting pCR, and HE2-positive patients who received NAC combined targeted therapy were favorable to achieving pCR. IHC markers of BC patients exhibit varying degrees of alterations after NAC, and changes in Ki67 expression after NAC could serve as a marker to predict a better prognosis.

Evaluation of the relationship between Ki67 expression level and neoadjuvant treatment response and prognosis in breast cancer based on the Neo-Bioscore staging system

BACKGROUND

Neoadjuvant chemotherapy (NAC) is widely used in the treatment of primary breast cancer. Different staging systems have been developed to evaluate the residual tumor after NAC and classify patients into different prognostic groups. Ki67, a proliferation marker, has been shown to be useful in predicting treatment response and prognosis. We aimed to investigate the prognostic importance Neo-Bioscore stage and pretreatment and posttreatment Ki67 levels in breast cancer patients who received NAC and correlations between Neo-Bioscore stage and pretreatment and posttreatment Ki67 levels.

METHODS

A total of 176 invasive breast carcinoma patients who underwent NAC were included in the study. Ki67 levels were evaluated by immunohistochemical methods in Trucut biopsy and surgical excision specimens. Patients were classified into prognostic groups using the Neo-Bioscore staging system.

RESULTS

Patients with high pretreatment Ki67 score were more likely to be in the higher Neo-Bioscore risk group (p < 0.001). Patients with a high posttreatment Ki67 score were more likely to be in the higher Neo-Bioscore prognostic risk group (p < 0.001). Overall survival (OS) and disease-free survival (DFS) were shorter in patients with high posttreatment Ki67 scores and in patients in the higher Neo-Bioscore risk group. We also determined a cutoff 37% for pathological complete response.

CONCLUSION

Neo-Bioscore staging system is found to be important in predicting survival. The posttreatment Ki67 level is more important than pretreatment Ki67 level in predicting survival.

Proposing a novel molecular subtyping scheme for predicting distant recurrence-free survival in breast cancer post-neoadjuvant chemotherapy with close correlation to metabolism and senescence

Background

High relapse rates remain a clinical challenge in the management of breast cancer (BC), with distant recurrence being a major driver of patient deterioration. To optimize the surveillance regimen for distant recurrence after neoadjuvant chemotherapy (NAC), we conducted a comprehensive analysis using bioinformatics and machine learning approaches.

Materials and methods

Microarray data were retrieved from the GEO database, and differential expression analysis was performed with the R package 'Limma'. We used the Metascape tool for enrichment analyses, and 'WGCNA' was utilized to establish co-expression networks, selecting the soft threshold power with the 'pickSoftThreshold' algorithm. We integrated ten machine learning algorithms and 101 algorithm combinations to identify key genes associated with distant recurrence in BC. Unsupervised clustering was performed with the R package 'ConsensusCluster Plus'. To further screen the key gene signature of residual cancer burden (RCB), multiple knockdown studies were analyzed with the Genetic Perturbation Similarity Analysis (GPSA) database. Single-cell RNA sequencing (scRNA-seq) analysis was conducted through the Tumour Immune Single-cell Hub (TISCH) database, and the XSum algorithm was used to screen candidate small molecule drugs based on the Connectivity Map (CMAP) database. Molecular docking processes were conducted using Schrodinger software. GMT files containing gene sets associated with metabolism and senescence were obtained from GSEA MutSigDB database. The GSVA score for each gene set across diverse samples was computed using the ssGSEA function implemented in the GSVA package.

Results

Our analysis, which combined Limma, WGCNA, and machine learning approaches, identified 16 RCB-relevant gene signatures influencing distant recurrence-free survival (DRFS) in BC patients following NAC. We then screened GATA3 as the key gene signature of high RCB index using GPSA analysis. A novel molecular subtyping scheme was developed to divide patients into two clusters (C1 and C2) with different distant recurrence risks. This molecular subtyping scheme was found to be closely associated with tumor metabolism and cellular senescence. Patients in cluster C2 had a poorer DRFS than those in cluster C1 (HR: 4.04; 95% CI: 2.60-6.29; log-rank test p < 0.0001). High GATA3 expression, high levels of resting mast cell infiltration, and a high proportion of estrogen receptor (ER)-positive patients contributed to better DRFS in cluster C1. We established a nomogram based on the N stage, RCB class, and molecular subtyping. The ROC curve for 5-year DRFS showed excellent predictive value (AUC=0.91, 95% CI: 0.95-0.86), with a C-index of 0.85 (95% CI: 0.81-0.90). Entinostat was identified as a potential small molecule compound to reverse high RCB after NAC. We also provided a comprehensive review of the EDCs exposures that potentially impact the effectiveness of NAC among BC patients.

Conclusion

This study established a molecular classification scheme associated with tumor metabolism and cancer cell senescence to predict RCB and DRFS in BC patients after NAC. Furthermore, GATA3 was identified and validated as a key gene associated with BC recurrence.

Elevated Level of Nerve Growth Factor (NGF) in Serum-Derived Exosomes Predicts Poor Survival in Patients with Breast Cancer Undergoing Neoadjuvant Chemotherapy

Simple Summary

Exosomes and cytokines play crucial roles in the process of tumor progression. Recent studies have reported that cytokines can be packaged into exosomes, leading to drug resistance. The aim of this study is to evaluate the potential value of cytokines in both serum and exosomes as prognostic biomarkers of long-term outcomes in patients with breast cancer treated with neoadjuvant chemotherapy. We observed significant differences in expression patterns between serum cytokines and exosomal cytokines. Elevated levels of serum IP-10, serum MMP-1, and exosomal NGF were associated with poor overall survival. In multivariate analysis, exosomal NGF was an independent prognostic factor for overall survival. These findings suggest that exosomal NGF is useful for identifying patients with poor survival outcomes.

Abstract

Neoadjuvant chemotherapy (NAC) is a standard treatment strategy for patients with locally advanced breast cancer (LABC). However, there are no established predictors of chemosensitivity and survival in LABC patients who undergo NAC. Many studies have demonstrated that exosomes and cytokines are important players in intercellular communication between tumors and their environments, and are involved in chemotherapy resistance. Recently, it was reported that cytokines can be packaged into exosomes, but whether exosomal cytokines serve as biomarkers in breast cancer patients is still unclear. In this study, we examined the roles of cytokines in both serum and exosomes as prognostic biomarkers for long-term outcomes in patients with breast cancer who undergo NAC. We isolated exosomes from the blood of 129 patients with early breast cancer who were receiving neoadjuvant chemotherapy between 2008 and 2011 at Samsung Medical Center. The levels of cytokines and growth factors in serum and exosomes were measured with ProcartaPlex immune-related panels. We investigated correlations between clinic-pathologic variables and patient survival, and Cox proportional hazards regression analysis was performed for prognostic evaluation. We detected significant differences in expression patterns between serum cytokines and exosomal cytokines. In both serum and exosomes, many cytokines were positively correlated with age. In univariate analysis, patients with high serum IP-10, serum MMP-1, and exosomal NGF had shorter overall survival. Exosomal NGF showed significantly poorer overall survival in multivariate analysis. These findings suggest that exosomal NGF is useful for identifying patients with poor survival outcomes.

Neoadjuvant chemotherapy in hormone receptor-positive/HER2-negative early breast cancer: When, why and what?

Indication for neoadjuvant chemotherapy (NACT) in HR+/HER2-negative tumors is controversial. Pathological complete response (pCR) rates range from 0 to 18 % while breast-conserving surgery (BCS) is achievable in up to 60 % of tumors. No pathological feature definitely predicts pCR; lobular and molecular luminal A tumors are less likely to achieve pCR although experiencing better outcomes. Luminal B subtype, high proliferation, lack of progesterone receptor, high tumor-infiltrating lymphocytes are positively associated with increased pCR rates but worse outcomes and the prognostic role of pCR is inconsistent across studies. Molecular intrinsic subtyping and genomic signatures appear as more accurate predictors of benefit from NACT, but larger studies are needed. Anthracycline and taxane-based chemotherapy remains the standard NACT; however, CDK 4/6 inhibitors and immune checkpoint inhibitors are under evaluation. In conclusion, NACT may be proposed for luminal tumors requiring downsizing for BCS after multidisciplinary evaluation, provided that other contraindications to BCS are excluded.

The Impact of Preoperative Radiomics Signature on the Survival of Breast Cancer Patients With Residual Tumors After NAC

Background

Residual cancer cells remaining after chemotherapy may have more aggressive behavior that promotes recurrence or metastasis, and which patients would benefit from subsequent additional treatment is controversial. The purpose of our study was to evaluate the prognostic value of the preoperative radiomics features of computed tomography (CT) imaging in breast cancer (BC) patients with residual tumors after neoadjuvant chemotherapy (NAC).

Methods

Post-NAC CT images were reviewed from 114 patients who had received breast surgery and had residual breast tumors. The association of the 110 radiomics features derived from CT images with 5-year disease-free survival (DFS) was assessed by log-rank test in the training cohort, resulting in 13 prognostic radiomics features.

Results

We constructed a radiomics signature consisting of four selected features by using least absolute shrinkage and selection operator (LASSO) Cox regression analysis, which performed well in the discrimination with an area under the curve (AUC) of 0.78 (95% CI, 0.67–0.89) and 0.73 (95% CI, 0.59–0.87) in the training and validation cohorts, respectively. Radiomics nomogram, incorporating the radiomics signature with the conventional clinical variables, also performed well in the two cohorts (training cohort: AUC, 0.84; validation cohort: AUC, 0.82). Moreover, we found that the high-risk patients determined by our radiomics nomogram could benefit from postoperative adjuvant chemotherapy, while the low-risk and total patient groups could not.

Conclusions

Our novel radiomics nomogram is a promising and favorable prognostic biomarker for preoperatively predicting survival outcomes and may aid in clinical decision-making in BC patients with residual tumors after NAC.

Modern surgical treatment of breast cancer

Breast cancer is the most frequent cancer in women all over the world. The prognosis is generally good, with a five-year overall survival rate above 90% for all stages. It is still the second leading cause of cancer-related death among women. Surgical treatment of breast cancer has changed dramatically over the years. Initially, treatment involved major surgery with long hospitalization, but it is now mostly accomplished as an outpatient procedure with a quick recovery. Thanks to well-designed retrospective and randomly controlled prospective studies, guidelines are continually changing. We are presently in an era where safely de-escalating surgery is increasingly emphasized. Breast cancer is a heterogenous disease, where a "one-size-fits-all" treatment approach is not appropriate. There is often more than one surgical solution carrying equal oncological safety for an individual patient. In these situations, it is important to include the patient in the treatment decision-making process through well informed consent. For this to be optimal, the physician must be fully updated on the surgical options. A consequence of an improved prognosis is more breast cancer survivors, and therefore physical appearance and quality of life is more in focus. Modern breast cancer treatment is increasingly personalized from a surgical point of view but is dependent on a multidisciplinary approach. Detailed algorithms for surgery of the breast and the axilla are required for optimal treatment and quality control. This review illustrates how breast cancer treatment has changed over the years and how the current standard is based on high quality scientific research.

The dynamic change of neutrophil to lymphocyte ratio is predictive of pathological complete response after neoadjuvant chemotherapy in breast cancer patients

BACKGROUND

The pre-treatment neutrophil-lymphocyte ratio (NLR) has been reported to be a predictive factor for pathologic complete response (pCR) after neoadjuvant chemotherapy (NACT) in breast cancer patients. However, whether the dynamic change of post-treatment neutrophil to lymphocyte ratio (delta-NLR) can better predict the same outcome remains unclear.

MATERIALS AND METHODS

We retrospectively analyzed 242 consecutive patients affected by breast cancer and candidates of NACT. The complete blood cell counts before and after NACT were evaluated to calculate NLR. The relationships between delta-NLR and pCR, along with other clinical-pathological characteristics were analyzed. Univariate and multivariate analyses were performed using a logistic regression model.

RESULTS

Of the 242 patients, 65 (26.9%) achieved a pCR. Pre-treatment NLR and post-treatment NLR were not significantly associated with pCR if analyzed separately in multivariate analyses. However, when combining together, patients with delta-NLR < 0 profile achieved a significantly higher rate of pCR compared to those with delta-NLR ≥ 0 (OR 2.84, 95% CI 1.35-5.96, p = 0.006). Additionally, the predictive value of delta-NLR was independent from common prognostic factors such as Ki-67, and molecular subtypes.

CONCLUSIONS

Delta-NLR, rather than pre-treatment or post-treatment NLR is associated with pCR rate, suggesting that the dynamic change of NLR may be an important factor predicting the response to NACT in breast cancer patients.

Impact of the extent of pathologic complete response on outcomes after neoadjuvant chemotherapy

BACKGROUND AND OBJECTIVE

With advances in systemic therapies for breast cancer, responses to neoadjuvant chemotherapy (NAC) have increased. Pathologic complete response (pCR) after NAC is an independent prognostic factor. We examined the impact of breast and/or lymph node (LN) pCR on survival.

METHODS

From a prospectively maintained database, 202 women were identified with LN-positive breast cancer who underwent NAC then surgery. Clinicopathologic factors and survival were compared between four groups: breast/LNs pCR, node-only pCR, breast-only pCR, and residual disease (RD).

RESULTS

Forty-eight (23.8%) patients had breast/LNs pCR, 43 (21.3%) node-only pCR, 5 (2.5%) breast-only pCR, and 106 (52.5%) had RD. There was no difference in age, stage, or breast operation between groups. With a median follow-up of 48.2 months, patients with any pCR had improved disease-free survival (DFS) (HR, 0.3; 95% CI, 0.157-0.572) and OS (HR, 0.192; 95% CI, 0.057-0.652) compared with RD patients. There were no significant differences in DFS (log-rank P = .18) and OS (log-rank P = 0.12) between patients with node-only pCR, breast-only pCR, and breast/LNs pCR.

CONCLUSION

In node-positive breast cancer patients receiving NAC, any pCR was associated with improved survival vs RD. The anatomic site of pCR did not impact survival. This suggests that any favorable response to NAC has prognostic value.

Neoadjuvant Metformin Added to Systemic Therapy Decreases the Proliferative Capacity of Residual Breast Cancer

The proliferative capacity of residual breast cancer (BC) disease indicates the existence of partial treatment resistance and higher probability of tumor recurrence. We explored the therapeutic potential of adding neoadjuvant metformin as an innovative strategy to decrease the proliferative potential of residual BC cells in patients failing to achieve pathological complete response (pCR) after pre-operative therapy. We performed a prospective analysis involving the intention-to-treat population of the (Metformin and Trastuzumab in Neoadjuvancy) METTEN study, a randomized multicenter phase II trial of women with primary, non-metastatic (human epidermal growth factor receptor 2) HER2-positive BC evaluating the efficacy, tolerability, and safety of oral metformin (850 mg twice-daily) for 24 weeks combined with anthracycline/taxane-based chemotherapy and trastuzumab (arm A) or equivalent regimen without metformin (arm B), before surgery. We centrally evaluated the proliferation marker Ki67 on sequential core biopsies using visual assessment (VA) and an (Food and Drug Administration) FDA-cleared automated digital image analysis (ADIA) algorithm. ADIA-based pre-operative values of high Ki67 (≥20%), but not those from VA, significantly predicted the occurrence of pCR in both arms irrespective of the hormone receptor status (p = 0.024 and 0.120, respectively). Changes in Ki67 in residual tumors of non-pCR patients were significantly higher in the metformin-containing arm (p = 0.025), with half of all patients exhibiting high Ki67 at baseline moving into the low-Ki67 (<20%) category after neoadjuvant treatment. By contrast, no statistically significant changes in Ki67 occurred in residual tumors of the control treatment arm (p = 0.293). There is an urgent need for innovative therapeutic strategies aiming to provide the protective effects of decreasing Ki67 after neoadjuvant treatment even if pCR is not achieved. Metformin would be evaluated as a safe candidate to decrease the aggressiveness of residual disease after neoadjuvant (pre-operative) systemic therapy of BC patients.

Predictive and Prognostic Roles of Pathological Indicators for Patients with Breast Cancer on Neoadjuvant Chemotherapy

Currently, neoadjuvant chemotherapy is a standard therapeutic strategy for breast cancer, as it can provide timely and individualized chemo-sensitivity information and is beneficial for custom-designing subsequent treatment strategies. To accurately select candidates for neoadjuvant chemotherapy, the association between various immunohistochemical biomarkers of primary disease and tumor response to neoadjuvant chemotherapy has been investigated, and results have shown that certain pathological indicators evaluated after neoadjuvant chemotherapy are associated with long-term prognosis. The Food and Drug Administration (FDA) has recommended that complete pathological response can be used as a surrogate endpoint for neoadjuvant chemotherapy, which is related to better prognosis. Considering that residual tumor persists in the majority of patients after neoadjuvant chemotherapy, the value of various pathological indicators of residual disease in predicting the long-term outcomes is being extensively investigated. This review summarizes and compares various predictive and prognostic indicators for patients who have received neoadjuvant chemotherapy, and analyzes their efficacy in different breast cancer subtypes.

Immune correlates of the differing pathological and therapeutic effects of neoadjuvant chemotherapy in breast cancer

PURPOSE

To evaluate immune responses paralleling the pathological and therapeutic effects of neoadjuvant chemotherapy (NAC) in the tumor microenvironment of breast cancer.

PATIENTS AND METHODS

38 patients with stages II and III breast cancer received NAC followed by surgery in 2012-2018. Peripheral natural killer (pNK) cell activity, tumor-infiltrating lymphocytes (TILs), and levels of tumor microenvironmental factors were assessed before and after NAC.

RESULTS

In univariate analysis, grade 2 (G2) and better therapeutic effects were significantly associated with high post-NAC levels of NK cells and interleukin-6, and tended to be associated with higher CD4, CD8 and CTLA-4 transcripts. Disappearance of axillary lymph node metastasis (Ax+) was significantly associated with 1) increased NK and pNK levels, 2) decreased vascular endothelial growth factor (VEGF) transcripts after NAC, 3) the presence of ≥5% TILs, and tended to be associated with higher CTLA-4 levels before NAC. Multivariate analysis showed that G2 and better therapeutic effects were significantly associated with higher NK levels after NAC (OR = 1.07, 95% CI 1.00-1.14; p = 0.0255), and that disappearance of Ax+ was significantly associated with the presence of ≥5% pre-NAC TILs (OR = 19.87, 95% CI 2.24-175.80; p = 0.0072).

CONCLUSIONS

Increased NK cells after NAC, together with increased CD4⁺ and CD8⁺ T-cells, and decreased CTLA-4+ T cells and VEGF correlate with beneficial therapeutic effects. Systemic activation of pNK cell activity and the presence of pre-NAC TILs may improve the elimination of Ax + together with decreased immunosuppression by VEGF in tumors.

Absence of estrogen receptor is associated with worse oncologic outcome in patients who were received neoadjuvant chemotherapy for breast cancer

BACKGROUND/OBJECTIVE

Neoadjuvant chemotherapy (NAC) is a standard treatment for locally advanced breast cancer, especially for HER2-positive or triple negative breast cancer which shows good response to chemotherapy. However, because a result of biomarkers is, occasionally, changed after NAC, the treatment strategy should be differently applied for patients with locally advanced breast cancer. We compared the results of biomarkers before and after NAC to evaluate the association with disease prognosis and oncologic results.

METHODS

Fifty-seven patients with locally advanced breast cancer underwent NAC and the immunohistochemical (IHC) staining results were compared between before and after NAC. And the association between oncologic outcomes and biomarkers was analyzed.

RESULTS

Negative status of estrogen receptor (ER) was associated with locoregional recurrence and distant metastasis both before and after NAC (p = 0.021, 0.019; p = 0.018, 0.036). And the negative status of progesterone receptor (PR) and triple negative status before neoadjuvant chemotherapy were also associated with death and distant metastasis, respectively. However, the changes of biomarkers after NAC in breast cancer were not directly associated with any oncologic outcomes.

CONCLUSION

The absence of ER in breast cancer before and after NAC would be a significant prognostic factor for local recurrence and distant metastasis. Therefore, the absence of ER should be considered as important factor in determining the treatment strategy.

A potential role for peripheral natural killer cell activity induced by preoperative chemotherapy in breast cancer patients

Tumor-infiltrating lymphocytes are an important prognostic factor after neoadjuvant chemotherapy (NAC) in patients with breast cancer. Natural killer (NK) cells play critical roles in antitumor immune surveillance. Here, we assessed the relationship between peripheral natural killer (pNK) cell activity, tumor microenvironmental factors (TMEFs), and the therapeutic efficacy of preoperative chemotherapy in patients with breast cancer. In a cohort of 39 patients diagnosed with stage II-IV breast cancer who received NAC, we measured pNK cell activity by chromium release assay and assessed TMEF levels by next-generation sequencing. Following NAC, pNK cell activity was increased in 24/39 patients but decreased in 15/39 patients. Increased pNK cell activity following preoperative chemotherapy was associated significantly with the disappearance of axillary lymph node metastasis (Ax+; p = 0.0235). Increased pNK cell activity remained significantly associated with the disappearance of Ax+ in multivariate logistic regression analysis (OR 5.41, 95% CI 1.19-24.52, p = 0.0283). A Grade 2 or higher effect of NAC was associated with high pre-NAC cytotoxic T lymphocyte-associated protein 4 (CTLA-4) levels (p = 0.0281) and elevated post-NAC NK (p = 0.0005) cells and transforming growth factor-beta (TGF-β; p = 0.0350) levels. The disappearance of Ax+ was associated with high pre-NAC CTLA-4 levels (p = 0.0278) and elevated CD4 levels after NAC (p = 0.0250). The systemic activation of pNK cells after NAC may improve metastatic tumor elimination in patients with breast cancer owing to a release from local immunosuppression, and immune activation in the tumor microenvironment.

Post-neoadjuvant treatment and the management of residual disease in breast cancer: state of the art and perspectives

Achieving a pathologic complete response after neoadjuvant treatment is associated with improved prognosis in breast cancer. The CREATE-X trial demonstrated a significant survival improvement with capecitabine in patients with residual invasive disease after neoadjuvant chemotherapy, and the KATHERINE trial showed a significant benefit of trastuzumab-emtansine (TDM1) in human epidermal growth factor receptor 2 (HER2)-positive patients who did not achieve a pathologic complete response after neoadjuvant treatment, creating interesting alternatives of post-neoadjuvant treatments for high-risk patients. New agents are arising as therapeutic options for metastatic breast cancer such as the cyclin-dependent kinase inhibitors and the immune-checkpoint inhibitors, but none has been incorporated into the post-neoadjuvant setting so far. Evolving techniques such as next-generation sequencing and gene expression profiles have improved our knowledge regarding the biology of residual disease, and also on the mechanisms involved in treatment resistance. The present manuscript reviews the current available strategies, the ongoing trials, the potential biomarker-guided approaches and the perspectives for the post-neoadjuvant treatment and the management of residual disease after neoadjuvant treatment in breast cancer.

Neoadjuvant Management of Early Breast Cancer: A Clinical and Investigational Position Statement

BACKGROUND

Neoadjuvant treatment is increasingly one of the preferred therapeutic options for early breast cancer and may have some unique outcomes, such as identifying predictive and prognostic factors of response or increasing the knowledge of individual tumor biology.

DESIGN

A panel of experts from different specialties reviewed published clinical studies on the neoadjuvant management of breast cancer. Recommendations were made that emphasized the clinical multidisciplinary management and the investigational leverage in early breast cancer.

RESULTS

Neoadjuvant therapy has equivalent efficacy to adjuvant therapy, and it has some additional benefits that include increasing breast conservation, assessing tumor response, establishing prognosis based on the pathological response, and providing a "second opportunity" for nonresponding patients. Achieving pathological complete remission because of neoadjuvant therapy has been correlated with long-term clinical benefit, particularly in HER2-positive and triple-negative breast cancer. In addition, the neoadjuvant setting is a powerful model for the development of new drugs and the identification of prognostic markers. Finally, neoadjuvant therapy has proven to be cost-effective by reducing nondrug costs, avoiding radical surgery, and reducing hospital stays when compared with other treatment approaches.

CONCLUSION

Neoadjuvant therapy has clinical benefits in early breast cancer and provides in vivo information of individual breast cancer biology while allowing the investigation of new treatment approaches. Access to neoadjuvant therapy should be an option available to all patients with breast cancer through multidisciplinary tumor management.

IMPLICATIONS FOR PRACTICE

Neoadjuvant treatment should be strongly considered as a therapeutic option for localized breast cancer and is a powerful tool for understanding breast cancer biology and investigating new treatment approaches.

Changes in the Ki-67 labeling index between primary breast cancer and metachronous metastatic axillary lymph node: A retrospective observational study

BACKGROUND

The Ki-67 labeling index (LI) is a well-known prognostic factor for primary breast cancer, but its clinical significance for metachronous axillary lymph node (ALN) recurrence has not been well documented.

METHODS

Ki-67 expression in primary tumors (PTs) and ALN metastases (ALNMs) was evaluated in 21 patients and quantified to investigate the relationship between Ki-67 LIs in PTs and metachronous ALNMs.

RESULTS

The median Ki-67 LIs in the PTs and ALNMs were 25.2% (range: 2.3-80.2%) and 70% (range: 10.4-97.4%), respectively. A majority of patients had higher Ki-67 LIs in ALNMs than in PTs (76.2%, 16/21). Disease-specific survival was significantly better in patients with a lower-than-median ALNM Ki-67 LI (P = 0.019, log-rank test). Receiver operating characteristic curves showed a PT Ki-67 LI of 62.8% as the optimal cutoff value and an ALNM Ki-67 LI of 65.1%. Accordingly, we divided the patients into four groups: PT Ki-67 LI lower than 62.8%/ALNM Ki-67 LI lower than 65.1%, PT Ki-67 LI lower/ALNM Ki-67 LI higher, PT Ki-67 LI higher/ALNM Ki-67 LI higher, and PT Ki-67 LI higher/ALNM Ki-67 LI lower. Disease-specific survival was significantly better in patients with Ki-67 LI lower/ALNM Ki-67 LI lower than in the other groups.

CONCLUSION

This is the first study to show that the Ki-67 LI in metachronous ALNM is a prognostic factor for patients with metachronous ALN recurrence of breast cancer.

High levels of serum CA15-3 and residual invasive tumor size are associated with poor prognosis for breast cancer patients with non-pathological complete response after neoadjuvant chemotherapy

BACKGROUND AND OBJECTIVES

To identify surrogate markers for prognosis of breast cancer patients with non-pathological complete response (non-pCR) to neoadjuvant chemotherapy (NAC), our investigation focused on the serum levels of carcinoembryonic antigen (CEA) and carbohydrate antigen (CA15-3) as well as clinicopathological factors both before and after NAC.

METHODS

A total of 185 breast cancer patients treated with NAC were recruited. Serum carcinoembryonic antigen and CA15-3 were measured at baseline and at completion of NAC.

RESULTS

Among the non-pCR cancers (n = 142), the disease-free survival (DFS) of patients with CA15-3-low at baseline (3-year DFS: 0.908, n = 73) was significantly better than of those with CA15-3-high (3-year DFS: 0.681, n = 69, P = .0134). Multivariable analysis demonstrated that baseline CA15-3 levels (hazard ratio: 3.31, 95% confidence interval: 1.28-10.23; P = .0122) and residual invasive size (hazard ratio: 4.47, 1.26-28.39; P = .0171) were significant independent factors for DFS. The combination of these factors proved to be an accurate predictor for DFS regardless of breast cancer subtypes.

CONCLUSIONS

The combination of residual invasive size and serum CA15-3 levels at baseline seems to be a significant and independent surrogate marker of poor outcome for patients with non-pCR. These findings suggest that these markers may be useful for identifying patients with inferior prognosis and candidates for additional adjuvant treatments.

Prognostic Significance of Modified Residual Disease in Breast and Nodes (mRDBN) Algorithm After Neoadjuvant Chemotherapy for Breast Cancer

OBJECTIVES

We hypothesized that prognostic accuracy of the residual disease in breast and lymph nodes (RDBN) method, which is calculated using residual tumor size, nodal involvement, and tumor grade, may be improved by incorporating residual tumor cellularity.

METHODS

Cases included 614 patients who underwent neoadjuvant therapy for breast cancer. Tumor size was adjusted for residual cellularity of invasive carcinoma and used to calculate modified RDBN (mRDBN) and compared with unmodified gross tumor size (gRDBN).

RESULTS

RDBN could be calculated in 428 cases. Relative risks of recurrence and death were significantly higher for RDBN-3 and RDBN-4 compared with RDBN-1. Kaplan-Meier analysis showed significant differences in disease-free survival and overall survival for estrogen receptor (ER)-negative/human epidermal growth factor receptor 2 (HER2)-negative and ER-positive/HER2-negative subgroups (P < .0001).

CONCLUSIONS

Both mRDBN and gRDBN provide prognostic information, particularly in HER2-negative carcinoma; however, mRDBN showed better stratification of RDBN-3 and RDBN-4 patients.

Ki67 Changes Identify Worse Outcomes in Residual Breast Cancer Tumors After Neoadjuvant Chemotherapy

BACKGROUND

Several breast cancer (BC) trials have adopted pathological complete response (pCR) as a surrogate marker of long-term treatment efficacy. In patients with luminal subtype, pCR seems less important for outcome prediction. BC is a heterogeneous disease, which is evident in residual tumors after neoadjuvant-chemotherapy (NAC). This study evaluates changes in Ki67 in relation to disease-free survival (DFS) and overall survival (OS) in patients without pCR.

SUBJECTS, MATERIALS, AND METHODS

Four hundred thirty-five patients with stage IIA-IIIC BC without pCR after standard NAC with anthracycline and paclitaxel were analyzed. We analyzed the decrease or lack of decrease in the percentage of Ki67-positive cells between core biopsy samples and surgical specimens and correlated this value with outcome.

RESULTS

Twenty-five percent of patients presented with luminal A-like tumors, 45% had luminal B-like tumors, 14% had triple-negative BC, 5% had HER2-positive BC, and 11% had triple-positive BC. Patients were predominantly diagnosed with stage III disease (52%) and high-grade tumors (46%). Median Ki67 level was 20% before NAC, which decreased to a median of 10% after NAC. Fifty-seven percent of patients had a decrease in Ki67 percentage. Ki67 decrease significantly correlated with better DFS and OS compared with no decrease, particularly in the luminal B subgroup. Multivariate analysis showed that nonreduction of Ki67 significantly increased the hazard ratio of recurrence and death by 3.39 (95% confidence interval [CI] 1.8-6.37) and 7.03 (95% CI 2.6-18.7), respectively.

CONCLUSION

Patients without a decrease in Ki67 in residual tumors after NAC have poor prognosis. This warrants the introduction of new therapeutic strategies in this setting.

IMPLICATIONS FOR PRACTICE

This study evaluates the change in Ki67 percentage before and after neoadjuvant chemotherapy (NAC) and its relationship with survival outcomes in patients with breast cancer who did not achieve complete pathological response (pCR). These patients, a heterogeneous group with diverse prognoses that cannot be treated using a single algorithm, pose a challenge to clinicians. This study identified a subgroup of these patients with a poor prognosis, those with luminal B-like tumors without a Ki67 decrease after NAC, thus justifying the introduction of new therapeutic strategies for patients who already present a favorable prognosis (luminal B-like with Ki67 decrease).

Risk scoring system for predicting axillary response after neoadjuvant chemotherapy in initially node-positive women with breast cancer

BACKGROUND

One of the current therapeutic challenges for women with breast cancer receiving neoadjuvant chemotherapy (NAC) is distinguishing women with complete axillary nodal response from those with axillary residual disease to promote a personalized therapeutic strategy including sparing axillary surgery. This study set out to develop a risk scoring system (RSS) for predicting probability of nodal pathological complete response (pCR) in women presenting with cN1 breast cancer who received NAC.

METHODS

Data of 116 women with cN1 breast cancer who received NAC between January 2009 and December 2013 were abstracted from our prospectively maintained database. A risk model based on factors impacting nodal axillary was developed.

RESULTS

The overall nodal conversion rate was 36.2% (42/116). Axillary nodal response was associated with three variables: menopausal status [Odds ratio (OR) = 0.23; 95% confidence interval (CI) 0.09-0.60], the radiological % of breast tumour shrinkage ≥50% (OR = 3.71; 95% CI 1.51-9.10), and negative hormone receptors (ER-, PR-) (OR = 2.41; 95% CI 0.99-5.87). These variables were included in the RSS and assigned scores ranging from 0 to 2. The discrimination of the RSS was 0.78 [95% confidence interval (CI) 0.69-0.86]. A total score of 3 points corresponded to the optimal threshold of the RSS. The diagnostic accuracy was 74.1%.

CONCLUSIONS

This study shows that the probability of axillary nodal pCR after NAC can be accurately predicted so that women at high probability may be spared of axillary surgery.

Modulation by hydroxytyrosol of oxidative stress and antitumor activities of paclitaxel in breast cancer

PURPOSE

The main objective of this study was to test the therapeutic potential of hydroxytyrosol and its combination with paclitaxel in breast cancer on oxidative stress status.

METHODS

Impact on proliferation rates of different chemotherapy administration patterns was assayed in MCF-7 and MDA-MB-231 breast cancer cell lines. Breast tumor-bearing rats were randomly assigned to Control, Hydroxytyrosol, Paclitaxel and Paclitaxel plus hydroxytyrosol groups, for 6 weeks. Tumor volume, cell proliferation and several systemic oxidative stress parameters were measured. Anti-proliferative activity in vitro experiments was correlated with in vivo experiments.

RESULTS

Combination group did significantly reduce tumor volume when compared with paclitaxel alone. Additionally, the combination improved the antioxidant status without compromising the antitumor activity of standard chemotherapy.

CONCLUSION

These findings reveal for the first time that hydroxytyrosol is an active partner in combined therapies with paclitaxel against breast cancer. Combination with hydroxytyrosol would also ensure a less oxidative impact of chemotherapeutic drugs that could potentially improve patient wellness.