Correlation between baseline 18F-FDG PET/CT features and pathological complete response after neoadjuvant chemotherapy in early triple negative breast cancer

Aim of the studyTo evaluate correlation between metabolic and textural parameters on baseline ¹⁸F-FDG PET/CT and pathological response after neoadjuvant chemotherapy in non-metastatic triple negative breast cancer (TNBC).MethodsAll consecutive non-metastatic TNBC women treated by neoadjuvant chemotherapy followed by breast surgery who underwent ¹⁸F-FDG PET/CT examination at diagnosis between 2012 and 2018 were retrospectively included. Metabolic parameters (SUVmax, SUVmean, SUVpeak, MTV, TLG) of the primary tumour and lymph nodes, and textural features (entropy, homogeneity, SRE, LRE, LGZE, HGZE) of the primary tumour were collected. Pathological response was defined according to Sataloff classification.ResultsSeventy-four patients were enrolled. In univariate analysis, metabolic and textural features of the primary breast lesion or metabolic parameters of regional lymph nodes were not predictive of pathological complete response after neoadjuvant chemotherapy.ConclusionMetabolic and textural features of baseline PET/CT do not seem to predict pathological response after neoadjuvant chemotherapy in non-metastatic triple negative breast cancer.     

A 10-miRNA risk score-based prediction model for pathological complete response to neoadjuvant chemotherapy in hormone receptor-positive breast cancer

Patients with hormone receptor(HR)-positive tumors breast cancer usually experience a relatively low pathological complete response(p CR) to neoadjuvant chemotherapy(NAC). Here, we derived a 10-micro RNA risk score(10-mi RNA RS)-based model with better performance in the prediction of p CR and validated its relation with the disease-free survival(DFS) in 755 HRpositive breast cancer patients(273, 265, and 217 in the training, internal, and external validation sets, respectively). This model,pres...     

Functional proteomics can define prognosis and predict pathologic complete response in patients with breast cancer

Purpose

To determine whether functional proteomics improves breast cancer classification and prognostication and can predict pathological complete response (pCR) in patients receiving neoadjuvant taxane and anthracycline-taxane-based systemic therapy (NST).

Methods

Reverse phase protein array (RPPA) using 146 antibodies to proteins relevant to breast cancer was applied to three independent tumor sets. Supervised clustering to identify subgroups and prognosis in surgical excision specimens from a training set (n = 712) was validated on a test set (n = 168) in two cohorts of patients with primary breast cancer. A score was constructed using ordinal logistic regression to quantify the probability of recurrence in the training set and tested in the test set. The score was then evaluated on 132 FNA biopsies of patients treated with NST to determine ability to predict pCR.

Results

Six breast cancer subgroups were identified by a 10-protein biomarker panel in the 712 tumor training set. They were associated with different recurrence-free survival (RFS) (log-rank p = 8.8 E-10). The structure and ability of the six subgroups to predict RFS was confirmed in the test set (log-rank p = 0.0013). A prognosis score constructed using the 10 proteins in the training set was associated with RFS in both training and test sets (p = 3.2E-13, for test set). There was a significant association between the prognostic score and likelihood of pCR to NST in the FNA set (p = 0.0021).

Conclusion

We developed a 10-protein biomarker panel that classifies breast cancer into prognostic groups that may have potential utility in the management of patients who receive anthracycline-taxane-based NST.     

Gene expression and pathologic response to neoadjuvant chemotherapy in breast cancer

Pathologic complete response after neoadjuvant systemic treatment appears to be a valid surrogate for better overall survival in breast cancer patients. Currently, together with standard clinicopathologic assessment, novel molecular biomarkers are being exhaustively tested in order to look into the heterogeneity of breast cancer. The aim of our study was to examine an association between 23-gene real-time-PCR expression assay including ABCB1, ABCC1, BAX, BBC3, BCL2, CASP3, CYP2D6, ERCC1, FOXC1, GAPDH, IGF1R, IRF1, MAP2, MAPK 8, MAPK9, MKI67, MMP9, NCOA3, PARP1, PIK3CA, TGFB3, TOP2A, and YWHAZ receptor status of breast cancer core biopsies sampled before neoadjuvant chemotherapy (anthracycline and taxanes) and pathologic response. Core-needle biopsies were collected from 42 female patients with inoperable locally advanced breast cancer or resectable tumors suitable for downstaging, before any treatment. Expressions of 23 genes were determined by means of TagMan low density arrays. Analysis of variance was used to select genes with discriminatory potential between receptor subtypes. We introduced a correction for false discovery rates (presented as q values) due to multiple hypothesis testing. Statistical analysis showed that seven genes out of a 23-gene real-time-PCR expression assay differed significantly in relation to pathologic response regardless of breast cancer subtypes. Among these genes, we identified: BAX (p = 0.0146), CYP2D6 (p = 0.0063), ERCC1 (p = 0.0231), FOXC1 (p = 0.0048), IRF1 (p = 0.0022), MAP2 (p = 0.0011), and MKI67 (p = 0.0332). The assessment of core biopsy gene profiles and receptor-based subtypes, before neoadjuvant therapy seems to predict response or resistance and to define new signaling pathways to provide more powerful classifiers in breast cancer, hence the need for further research.     

Detection of pathological response of axillary lymph node metastasis after neoadjuvant chemotherapy in breast cancer using multiphoton microscopy

Neoadjuvant treatment is often considered in breast cancer patients with axillary lymph node involvement, but most of patients do not have a pathologic complete response to therapy. The detection of residual nodal disease has a significant impact on adjuvant therapy recommendations which may improve survival. Here, we investigate whether multiphoton microscopy (MPM) could identify the pathological changes of axillary lymphatic metastasis after neoadjuvant chemotherapy in breast cancer. And furthermore, we find that there are obvious differences in seven collagen morphological features between normal node and residual axillary disease by combining with a semi-automatic image processing method, and also find that there are significant differences in four collagen features between the effective and no-response treatment groups. These research results indicate that MPM may help estimate axillary treatment response in the neoadjuvant setting and thereby tailor more appropriate and personalized adjuvant treatments for breast cancer patients.     

Patterns of post-operative irradiation in breast cancer patients submitted to neoadjuvant chemotherapy

Background/AimPost-operative radiation therapy (PORT) is associated with improvement in loco-regional control and survival rates in early breast cancer. However, the evidence of benefit in patients after treatment with neoadjuvant chemotherapy (NAC) is poor. We aimed to assess the impact of the type of surgery in the PORT plan and the role of the PORT fields in clinical outcomes in breast cancer patients who had undergone NAC followed by surgery.Materials and methodsWe performed a retrospective analysis of all non-metastatic breast cancer patients treated between 2008 and 2014 at our institution who had received NAC and PORT.ResultsA total of 528 women were included of whom 396 were submitted to mastectomy or nipple-sparing/skin-sparing mastectomy. Most (92.8%) of the patients had locally advanced disease (clinical stage IIB to IIIC). All patients underwent irradiation for breast or chest wall. Most patients received PORT to the supraclavicular and axillary (levels II and III) nodes (87.1% and 86.4% for breast-conserving surgery and 95.1% and 93.8% for mastectomy and nipple-sparing/skin-sparing mastectomy, respectively). Irradiation of level I axillary and internal mammary nodes was uncommon. The disease-free survival and overall survival rates at 3 years were 72% and 85%, respectively. There were no statistically significant differences in clinical outcomes according to the use of nodal irradiation.ConclusionsAfter NAC, most patients received irradiation of the breast/chest wall and axillary and supraclavicular nodes. In this setting, PORT to breast/chest wall with or without regional nodal irradiation was safe and effective, with acceptable disease-free and overall survival rates reported in this high-risk population.     

Diffuse optical spectroscopy evaluation of treatment response in women with locally advanced breast cancer receiving neoadjuvant chemotherapy

The aim of this study was to investigate the potential of diffuse optical spectroscopy for monitoring of patients with locally advanced breast cancer (LABC) undergoing neoadjuvant chemotherapy. Fifteen women receiving treatment for LABC had the affected breast scanned before; 1 week, 4 weeks, and 8 weeks after treatment initiation; and before surgery. Optical properties related to tissue microstructure and biochemical composition were obtained. Clinical and pathologic tumor response was evaluated using whole-mount pathology after mastectomy. Patients who responded to treatment demonstrated an initial increase followed by a drop in optical parameters measured in the whole breast, whereas nonresponding patients demonstrated only a drop in the same parameters 1 week after treatment initiation. Responding patients demonstrated a significant increase of 17% ± 7%, 8% ± 8%, 10% ± 7%, 11% ± 11%, and 16% ± 15% in deoxygenated hemoglobin, oxygenated hemoglobin, total hemoglobin concentrations, water percentage, and tissue optical index, 1 week after treatment initiation, respectively. In contrast, nonresponding patients had a decrease of 14% ± 9%, 18% ± 7%, 17% ± 7%, 29% ± 7%, and 32% ± 9% in their corresponding optical parameters. Deoxygenated hemoglobin concentration (with 100% sensitivity, 83% specificity) and water percentage (with 75% sensitivity, 100% specificity) were found to be the best predictors of treatment response at 1 week after starting treatment. The results of this study suggest that optical parameters can be potentially used to predict and monitor patients' responses to neoadjuvant chemotherapy and can form a basis for the customization of treatments in which inefficacious treatments can be switched to more efficacious therapies.     

Role of p-glycoprotein expression in predicting response to neoadjuvant chemotherapy in breast cancer-a prospective clinical study

Background

Lung cancer still remains one of the most commonly occurring solid tumors and even in stage Ia, surgery fails in 30% of patients who develop distant metastases. It is hypothesized that these must have developed from occult circulating tumor cells present at the time of surgery, or before. The aim of the present study was to detect such cells in the peripheral blood and to monitor these cells following surgery.

Methods

30 patients treated for lung cancer with surgery were monitored for circulating epithelial cells (CEC) by taking peripheral blood samples before, 2 weeks and 5 months after surgery and/or radiotherapy (RT) chemotherapy (CT) or combined RT/CT using magnetic bead enrichment and laser scanning cytometry (MAINTRAC^®) for quantification of these cells.

Results

In 86% of the patients CEC were detected before surgery and in 100% at 2 weeks and 5 months after surgery. In the control group, which consisted of 100 normal donors without cancer, 97 % were negative for CEC. A significantly higher number of CEC was found preoperatively in patients with squamous cell carcinoma than in those with adenocarcinoma. In correlation to the extent of parenchymal manipulation 2 weeks after surgery, an increase in numbers of CEC was observed with limited resections (18/21) whereas pneumonectomy led to a decrease (5/8) of CEC, 2 weeks after surgery. The third analysis done 5 months after surgery identified 3 groups of patients. In the group of 5 patients who received neo- or adjuvant chemo/radiotherapy there was evidence that monitoring of CEC can evaluate the effects of therapy. Another group of 7 patients who underwent surgery only showed a decrease of CEC and no signs of relapse. A third group of 11 patients who had surgery only, showed an increase of CEC (4 with an initial decrease after surgery and 7 with continuous increase). In the group with a continuous increase during the following 24 months, 2 early relapses in patients with stage Ia adenocarcinoma were observed. The increase of CEC preceded clinical detection by six months.

Conclusion

We consider, therefore, that patients with adenocarcinoma and a continuous increase of CEC after complete resection for lung cancer are at an increased risk of early relapse.     

Serum levels of tumor necrosis factor alpha correlate with response to neoadjuvant chemotherapy in locally advanced breast cancer

It has been shown that serum levels of tumor necrosis factor alpha (TNF-alpha) are increased in breast cancer patients. There are few data available on the reduction of serum levels of this cytokine following chemotherapy. The aim of this study was to determine the effect of neoadjuvant chemotherapy on serum concentrations of TNF-alpha and the relation to response rates in locally advanced breast cancer. Twenty consecutive patients with non-inflammatory stage III-B breast cancer achieving a partial or complete clinical response to three courses of neoadjuvant chemotherapy followed by modified radical mastectomy were prospectively included in the study and evaluated. Sera were collected before the start and after the termination of chemotherapy. Serum concentrations of TNF-alpha were measured by an ELISA method. The pathological response rates were also evaluated and recorded. The control group consisted of 12 healthy age-matched women. The mean pre-treatment TNF-alpha value of breast cancer patients was 15.9 +/- 0.9 pg/mL while it was 5.8 +/- 1.7 pg/mL in the control group; the difference was statistically significant (p < 0.0001). The serum levels of TNF-alpha were markedly decreased in patients with partial and complete responses compared to pre-treatment values (p < 0.0001). There was also a difference in TNF-alpha levels in patients with partial vs complete responses (p < 0.0001). The relative change between pre- and post-treatment values correlated significantly with the type of response (p = 0.004). These results suggest that the serum concentration of TNF-alpha can be an indicator of response and could be used in clinical decision-making for patients with locally advanced breast cancer.     

Analysis of functional germline polymorphisms for prediction of response to anthracycline-based neoadjuvant chemotherapy in breast cancer

To elucidate the role of predictive factors on individual's drug response, based on genetic variation, we examined the association between eight germline polymorphisms in genes involved in protection against oxidative stress, apoptosis, oncogenic transformation, proliferation, immune response and DNA repair (TP53, NQO1, IL6, TLR4 and XRCC1) and the pathological response to anthracycline-based neoadjuvant chemotherapy in 70 patients with breast cancer. The DNA was genotyped for eight polymorphisms in five genes (TP53, NQO1, IL6, TLR4 and XRCC1) by 5'-exonuclease (TaqMan?) technology. Fisher's exact test was used to evaluate the association between genotype, clinicopathological parameters and pathological response. A good pathological response, defined as a pathological complete response or residual isolated invasive tumor cells, was found significantly more frequently for estrogen (ER) and progesterone receptor (PR) negative breast carcinomas compared to ER and PR positive and ER or PR positive carcinomas, respectively (43.5 vs. 37.5 and 10.3?%, p?=?0.006), and was significantly associated with high tumor grade (G3) (p?=?0.002). A non-significant trend towards a good pathological response was shown in patients carrying the Arg/Arg or Arg/Pro TP53 codon 72 gene variant compared to those harboring the Pro/Pro variant (17.6 or 37.9?% vs. 0; p?=?0.071). No association was found between NQO1 Pro187Ser, IL6 -174G>C, TLR4 Asp299Gly and Thr399Ile, and XRCC1 Arg194Trp, Arg399Gln and Arg280His and pathological response. The present study shows hormone receptor status and tumor grade as predictors for pathological response to neoadjuvant anthracycline-based chemotherapy. Among various functional germline polymorphisms, a potential predictive value was only found for the TP53 Arg72Pro gene variant.     

Prognostic implication of HSPA (HSP70) in breast cancer patients treated with neoadjuvant anthracycline-based chemotherapy

Neoadjuvant chemotherapy is used in patients with locally advanced breast cancer to reduce tumor size before surgery. Unfortunately, resistance to chemotherapy may arise from a variety of mechanisms. Heat shock proteins (HSPs), which are highly expressed in mammary tumor cells, have been implicated in anticancer drug resistance. In spite of the widely described value of HSPs as molecular markers in cancer, their implications in breast tumors treated with anthracycline-based neoadjuvant chemotherapy has been poorly explored. In this study, we have evaluated, by immunohistochemistry, the expression of HSP27 (HSPB1) and HSP70 (HSPA) in serial biopsies from locally advanced breast cancer patients (n = 60) treated with doxorubicin (DOX)- or epirubicin (EPI)-based monochemotherapy. Serial biopsies were taken at days 1, 3, 7, and 21, and compared with prechemotherapy and surgical biopsies. After surgery, the patients received additional chemotherapy with cyclophosphamide, methotrexate, and 5-fluorouracil. High nuclear HSPB1 and HSPA expressions were found in invasive cells after DOX/EPI administration (P < 0.001), but the drug did not affect the cytoplasmic expression of the HSPs. Infiltrating lymphocytes showed high nuclear HSPA (P < 0.01) levels at postchemotherapy. No correlations were found between HSPs expression and the clinical and pathological response to neoadjuvant therapy. However, in postchemotherapy biopsies, high nuclear (>31 % of the cells) and cytoplasmic HSPA expressions (>11 % of the tumor cells) were associated with better DFS (P = 0.0348 and P = 0.0118, respectively). We conclude that HSPA expression may be a useful prognostic marker in breast cancer patients treated with neoadjuvant DOX/EPI chemotherapy indicating the need to change the administered drugs after surgery for overcoming drug resistance.     

Sentinel lymph node biopsy after neoadjuvant chemotherapy in breast cancer

The indication of neoadjuvant chemotherapy has been recently extended; it is now applied not only in locally advanced breast cancer but in primarily resecable tumours as well, in order to promote breast conservation. Based on recent clinical results, the reconsideration of traditional lymph node dissection in axillary staging is timely in patients receiving neoadjuvant chemotherapy. Precise axillary staging needs surgical removal of lymph nodes. Based on prospective randomised trials, sentinel lymph node biopsy appears to be appropriate for axillary staging even in tumours requiring neoadjuvant treatment. The extended indication of sentinel lymph node biopsy raises several questions and problems. In the present paper the authors review the results and possible limitations of sentinel lymph node biopsy in relation to neoadjuvant chemotherapy.     

Pre-treatment systemic immune-inflammation index is a useful prognostic indicator in patients with breast cancer undergoing neoadjuvant chemotherapy

The systemic immune-inflammation index (SII = N × P/L) based on neutrophil (N), platelet (P) and lymphocyte (L) counts is used to predict the survival of patients with malignant tumours and can fully reflect the balance between host inflammatory and immune status. This study is conducted to explore the potential prognostic significance of SII in patients with breast cancer undergoing neoadjuvant chemotherapy (NACT). A total of 262 patients with breast cancer received NACT were enrolled in this study. According to the receiver operating characteristic curve, the optimal cut-off value of SII was divided into two groups: low SII group (<602 × 10⁹/L) and high SII group (≥602 × 10⁹/L). The associations between breast cancer and clinicopathological variables by SII were determined by chi-squared test or Fisher's exact test. The Kaplan-Meier plots and log-rank test were used to determine clinical outcomes of disease-free survival (DFS) and overall survival (OS). The prognostic value of SII was analysed by univariate and multivariate Cox proportional hazards regression models. The toxicity of NACT was accessed by National Cancer Institute Common Toxicity Criteria (NCICTC). According to univariate and multivariate Cox regression survival analyses, the results showed that the value of SII had prognostic significance for DFS and OS. The patients with low SII value had longer DFS and OS than those with high SII value (31.11 vs 40.76 months, HR: 1.075, 95% CI: 0.718-1.610, P = .006; 44.47 vs 53.68 months, HR: 1.051, 95% CI: 0.707-1.564, P = .005, respectively). The incidence of DFS and OS in breast cancer patients with low SII value was higher than that in those patients with high SII value in 3-, 5- and 10-year rates. The common toxicities after NACT were haematological and gastrointestinal reaction, and there were no differences by SII for the assessment of side effects of neoadjuvant chemotherapy. Meanwhile, the results also proved that breast cancer patients with low SII value and high Miller and Payne grade (MPG) survived longer than those breast cancer with high SII value and low MPG grade. In patients without lymph vessel invasion, these breast cancer patients with low SII value had better prognosis and lower recurrence rates than those with high SII value. Pre-treatment SII with the advantage of reproducible, convenient and non-invasive was a useful prognostic indicator for breast cancer patients undergoing neoadjuvant chemotherapy and is a promising biomarker for breast cancer on treatment strategy decisions.     

Proteomic approach reveals FKBP4 and S100A9 as potential prediction markers of therapeutic response to neoadjuvant chemotherapy in patients with breast cancer

Although doxorubicin (Doxo) and docetaxel (Docet) in combination are widely used in treatment regimens for a broad spectrum of breast cancer patients, a major obstacle has emerged in that some patients are intrinsically resistant to these chemotherapeutics. Our study aimed to discover potential prediction markers of drug resistance in needle-biopsied tissues of breast cancer patients prior to neoadjuvant chemotherapy. Tissues collected before chemotherapy were analyzed by mass spectrometry. A total of 2,331 proteins were identified and comparatively quantified between drug sensitive (DS) and drug resistant (DR) patient groups by spectral count. Of them, 298 proteins were differentially expressed by more than 1.5-fold. Some of the differentially expressed proteins (DEPs) were further confirmed by Western blotting. Bioinformatic analysis revealed that the DEPs were largely associated with drug metabolism, acute phase response signaling, and fatty acid elongation in mitochondria. Clinical validation of two selected proteins by immunohistochemistry found that FKBP4 and S100A9 might be putative prediction markers in discriminating the DR group from the DS group of breast cancer patients. The results demonstrate that a quantitative proteomics/bioinformatics approach is useful for discovering prediction markers of drug resistance, and possibly for the development of a new therapeutic strategy.     

Pretreatment neutrophil to lymphocyte ratio is associated with response to therapy and prognosis of advanced non-small cell lung cancer patients treated with first-line platinum-based chemotherapy

Background

Neutrophil to lymphocyte ratio (NLR) has been shown to be a prognosis indicator in different types of cancer. We aimed to investigate the association between NLR and therapy response, progression free survival (PFS) and overall survival (OS) in advanced non-small cell lung cancer (NSCLC) patients treated with first-line platinum-based chemotherapy.

Methods

Patients who were hospitalized between January 2007 and December 2010 were enrolled and eliminated according to the inclusion and exclusion criteria. The NLR was defined as the absolute neutrophil count divided by the absolute lymphocyte count. Logistic regression analysis was applied for response rate and Cox regression analysis was adopted for PFS and OS. A P value of ≤0.05 was considered to be statistically significant.

Results

A total of 182 patients were enrolled in the current study. The median PFS was 164.5 days and median OS was 439.5 days. The statistical analysis data indicated that low pretreatment NLR (≤ 2.63) (OR = 2.043, P = 0.043), decreased posttreatment NLR (OR = 2.368, P = 0.013), well and moderate differentiation (OR = 2.773, P = 0.021) and normal CEA level (≤ 9.6 ng/ml) (OR = 2.090, P = 0.046) were associated with response to first-line platinum-based chemotherapy. A high pretreatment NLR (HR = 1.807, P = 0.018 for PFS, HR = 1.761, P = 0.020 for OS) and distant metastasis (HR = 2.118, P = 0.008 for PFS, HR = 2.753, P = 0.000 for OS) were independent prognostic factors for PFS and OS.

Conclusion

Elevated pretreatment NLR might be a potential biomarker of worse response to first-line platinum-based chemotherapy and shorter PFS and OS for advanced NSCLC patients. To confirm these findings, larger, prospective and randomized studies are needed.     

Evaluation of the efficiency of neoadjuvant chemotherapy in patients with breast cancer from the results of magnetic resonance imaging

The immediate efficiency of neoadjuvant chemotherapy was analyzed in 16 patients with Stages IIb-IIIb breast cancer, by applying magnetic resonance imaging. The latter allows the time course of tumor changes and the efficiency of neoadjuvant chemotherapy to be estimated with high accuracy.