Biological markers as predictive factors of response to neoadjuvant taxanes and anthracycline chemotherapy in breast carcinoma

Locally Advanced Breast Cancer: Response Evaluation to Neoadjuvant Chemotherapy by Clinico-Histopathological Parameters and Molecular Imaging

In India, breast cancer (BC) is not only the commonest cancer but also the commonest cause of cancer mortality among females. Advanced BC constitutes >70% of BC cases at initial presentation in India, among which locally advanced breast cancer (LABC) requires a multi-disciplinary approach with a combination of systemic and locoregional therapies. This descriptive hospital-based study was conducted over 1½ years after seeking approval from the institutional ethics committee. Fifty-five patients satisfying all the criteria of the study were enrolled. The data, thus, collected was pooled into Excel spreadsheet and analyzed using appropriate statistical tools. Most of the patients were postmenopausal, multiparous with breast lump being the commonest symptom. Mean baseline characteristics were age - 48 years, SUV max - 9.2, and Ki-67 - 17.8%. cT4 and cN2 were the commonest pre-NACT tumor and lymph node stage. Invasive ductal carcinoma was the commonest tumor type with the most common tumor grade being grade 3. Hormone receptor positivity and HER2 overexpression were seen in 33 and 17 patients respectively. Post-NACT 32 patients underwent breast-conserving surgery. Pathological complete response (pCR), i.e., ypT0N0, was seen in 13 patients (23.6%). There was slight alteration in hormone receptor status, HER2 expression and Ki-67 in the post-NACT resected tumor. pCR, which is a surrogate marker for improved clinical outcome (DFS and OS) in LABC patients, occurred more commonly in patients with pre-NACT grade 3 tumors, high Ki-67, hormone receptor-negative, and HER2 overexpressing BC (overall, in triple negative BC) but was statistically significant only with Ki-67. Post-NACT, SUV max with a cut off ≤1.5, and ΔSUV max of >80% correlated closely with pCR.

Expression, assessment and significance of Ki67 expression in breast cancer: an update

Ki67 expression is one of the most important and cost-effective surrogate markers to assess for tumour cell proliferation in breast cancer (BC). The Ki67 labelling index has prognostic and predictive value in patients with early-stage BC, particularly in the hormone receptor-positive, HER2 (human epidermal growth factor receptor 2)-negative (luminal) tumours. However, many challenges exist in using Ki67 in routine clinical practice and it is still not universally used in the clinical setting. Addressing these challenges can potentially improve the clinical utility of Ki67 in BC. In this article, we review the function, immunohistochemical (IHC) expression, methods for scoring and interpretation of results as well as address several challenges of Ki67 assessment in BC. The prodigious attention associated with use of Ki67 IHC as a prognostic marker in BC resulted in high expectation and overestimation of its performance. However, the realisation of some pitfalls and disadvantages, which are expected with any similar markers, resulted in an increasing criticism of its clinical use. It is time to consider a pragmatic approach and weigh the benefits against the weaknesses and identify factors to achieve the best clinical utility. Here we highlight the strengths of its performance and provide some insights to overcome the existing challenges.

Current status of antenatal care of pregnant women-8 provinces in China, 2018

BACKGROUND

Antenatal care (ANC) played a crucial role in ensuring maternal and child safety and reducing the risk of complications, disability, and death in mothers and their infants. The objective of this study was to evaluate the current status of ANC emphasizing the number, timing, and content of examinations on a national scale.

METHODS

The data was collected from maternal and newborn's health monitoring system at 8 provinces in China. After ethical approval, all pregnant women registered in the system at their first prenatal care visit, we included 49,084 pregnant women who had delivered between January 1, 2018 and December 31, 2018. Descriptive statistics of all study variables were calculated proportions and chi-square for categorical variables.

RESULTS

Of the 49,084 women included in this study, the mean number of ANC visits was 6.95 ± 3.45. By percentage, 78.79% women received ANC examinations at least five times, 39.93% of the women received ANC examinations at least eight times and 16.66% of the women received ANC examinations at least 11 times. The proportion of first ANC examination in first trimester was 61.87%. The percentage of normative ANC examinations and the percentage of qualified ANC examinations were 30.98 and 8.03% respectively. Only 49.40% of the total women received all six kinds of examination items in first ANC examination: 91.47% received a blood test, 91.62% received a urine test, 81.56% received a liver function examination, 80.52% received a renal function examination, 79.07% received a blood glucose test, and 86.66% received a HIV/HBV/syphilis tests. 50.85% women received the first ANC examination in maternal and child health care (MCH) institutions, 14.07% in a general hospital, 18.83% in a township hospital, 13.15% in a community health services center, and 3.08% in an unspecified place. The proportion of women who received each of the ANC examination items in community health services center was the highest, but that in the MCH institutions was the lowest.

CONCLUSIONS

There is a big difference between the results of this study and the data in official reports, this study found the current status of antenatal care is not optimal in China, findings from this study suggest that the systematization, continuity and quality of ANC examinations need to be improved.

Nomogram-derived prediction of pathologic complete response (pCR) in breast cancer patients treated with neoadjuvant chemotherapy (NCT)

BACKGROUND

Previous research results on the predictive factors of neoadjuvant chemotherapy (NCT) efficacy in breast cancer are inconsistent, suggesting that the ability of a single factor to predict efficacy is insufficient. Combining multiple potential efficacy-related factors to build a model may improve the accuracy of prediction. This study intends to explore the clinical and biological factors in breast cancer patients receiving NCT and to establish a nomogram that can predict the pathologic complete response (pCR) rate of NCT.

METHODS

We selected 165 breast cancer patients receiving NCT from July 2017 to May 2019. Using pretreatment biopsy materials, immunohistochemical studies to assess estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER-2), and Ki-67 expression. The correlation between biological markers and pCR was analyzed. These predictors were used to develop a binary logistic regression model with cross-validation and to show the established predictive model with a nomogram.

RESULTS

The nomogram for pCR based on lymphovascular invasion, anemia (hemoglobin≤120 g/L), ER, Ki67 expression levels and NCT regimen had good discrimination performance (area under the curve [AUC], 0.758; 95% confidence interval [CI], 0.675-0.841) and calibration coordination. According to the Hosmer-Lemeshow test, the calibration chart showed satisfactory agreement between the predicted and observed probabilities. The final prediction accuracy of cross-validation was 76%.

CONCLUSIONS

We developed a nomogram based on multiple clinical and biological covariations that can provide an early prediction of NCT response and can help to quickly assess the individual benefits of NCT.

Prediction model of the response to neoadjuvant chemotherapy in breast cancers by a Naive Bayes algorithm

BACKGROUND AND OBJECTIVE

Chemotherapy is useful to many breast cancer patients, however, it is not therapeutic for some patients. Pathologic complete response (pCR) is an indicator to good response in Neoadjuvant chemotherapy (NAC). In this study, we aimed to develop a way to predict pCR before NAC.

METHODS

We retrospectively collected 287 stage II-III breast cancer cases either to a training set (N = 197) or to a test set (N = 90). Fourteen candidate genes were selected from four public microarray data sets. A prediction model was built, by using these fourteen candidate genes and three reference genes expression which were tested by TaqMan probe-based quantitative polymerase chain reaction, after selecting a better algorithm.

RESULTS

The Naive Bayes algorithm had a relatively higher predictive value, compared with random forest, support vector machine (SVM), and k-nearest neighbor (knn) algorithms (P < 0.05). This 17-gene prediction model showed a high positive correlation with pCR (odds ratio, 8.914, 95% confidence interval, 4.430-17.934, P < 0.001). By using this model, the enrolled patients were classified into sensitive (SE) and insensitive (INS) groups. The pCR rates between the SE and INS groups were highly different (42.3% vs.7.6%, P < 0.001). The sensitivity and specificity of this prediction model were 84.5% and 62.0%.

CONCLUSIONS

Instead of whole transcriptome-based technologies, panel gene expression with tens of essential genes implemented in a machine learning model has predictive potential for chemosensitivity in breast cancers.

Somatic alterations of TP53, ERBB2, PIK3CA and CCND1 are associated with chemosensitivity for breast cancers

The correlation of genetic alterations with response to neoadjuvant chemotherapy (NAC) has not been fully revealed. In this study, we enrolled 247 breast cancer patients receiving anthracycline‐taxane‐based NAC treatment. A next generation sequencing (NGS) panel containing 36 hotspot breast cancer‐related genes was used in this study. Two different standards for the extent of pathologic complete response (pCR), ypT0/isypN0 and ypT0/is, were used as indicators for NAC treatment. TP53 mutation (n = 149, 60.3%), PIK3CA mutation (n = 109, 44.1%) and MYC amplification (n = 95, 38.5%) were frequently detected in enrolled cases. TP53 mutation (P = 0.019 for ypT0/isypN0 and P = 0.003 for ypT0/is) and ERBB2 amplification (P < 0.001 for both ypT0/isypN0 and ypT0/is) were related to higher pCR rates. PIK3CA mutation (P = 0.040 for ypT0/isypN0) and CCND2 amplification (P = 0.042 for ypT0/is) showed reduced sensitivity to NAC. Patients with MAPK pathway alteration had low pCR rates (P = 0.043 for ypT0/is). Patients with TP53 mutation (−) PIK3CA mutation (−) ERBB2 amplification (+) CCND1 amplification (−), TP53 mutation (+) PIK3CA mutation (−) ERBB2 amplification (+) CCND1 amplification (−) or TP53 mutation (+) PIK3CA mutation (+) ERBB2 amplification (+) CCND1 amplification (−)had significantly higher pCR rates (P < 0.05 for ypT0/isypN0 and ypT0/is) than wild type genotype tumors. Some cancer genetic alterations as well as pathway alterations were associated with chemosensitivity to NAC treatment. Our study may shed light on the molecular characteristics of breast cancer for prediction of NAC expectations when breast cancer is first diagnosed by biopsy.

Clinical significance and prognostic value of receptor conversion in hormone receptor positive breast cancers after neoadjuvant chemotherapy

Background

Neoadjuvant chemotherapy (NAC) is widely used in advanced breast cancer patients. However, there is little known about conversion frequency of estrogen receptor (ER) and/or progesterone receptor (PR) status for hormone receptor positive-breast cancer patients after NAC and their correlation with prognosis.

Methods

In this study, 231 breast cancer patients with residual disease after NAC were enrolled and divided into receptor stable group (having no conversion in both ER and PR status pre- and post-NAC) and any receptor conversion group (having any conversion in either ER or PR status). Univariate and multivariate survival analyses were used to compare survival differences between the two groups.

Results

Fifty-five patients (23.8%) had ER and/or PR conversion after NAC. Younger patients (≤ 50 years) were more likely to have receptor conversion (P = 0.014). For 213 patients (92.2%) who received adjuvant endocrinotherapy after surgery, the 5-year disease free survival (DFS) estimates for patients in the any receptor conversion group (55.2%) was worse than patients in the receptor stable group (73.7%, Log-rank test, P = 0.015). While the 5-year overall survival estimates for patients with or without receptor conversion were not statistically different (86.0 vs. 82.4%, Log-rank test, P = 0.587). In multivariate Cox proportional hazard analyses, patients with any receptor conversion had worse DFS (hazard ratio, 1.995; 95% confidence interval, 1.130–3.521, P = 0.031).

Conclusions

It is necessary to recommend patients to test biomarkers in residual disease and pay more attention to patients who have any receptor conversion. These patients may need more individual therapy after surgery.

Ki-67 labeling index is a predictive marker for a pathological complete response to neoadjuvant chemotherapy in breast cancer: A meta-analysis

BACKGROUND

A pathological complete response (pCR) after neoadjuvant chemotherapy (NCT) is a strong indicator of the benefit of therapy and presents an early surrogate for a favorable long-term outcome. It remains unclear whether Ki-67, a marker for tumor proliferation, can function as a predictor of the response to NCT in breast cancer. The objective of this meta-analysis was to compare the pCR rate and clinical outcomes in breast cancer patients with different Ki-67 labeling indexes (Ki-67 LI) who received NCT.

METHODS

Clinical studies were retrieved from the electronic databases of PubMed, Embase, Clinical Trials, Wanfang, and the Chinese National Knowledge Infrastructure, from their inception to July 31, 2017. Meta-analysis was performed on pool eligible studies to determine whether Ki-67 LI was associated with the pCR rate and clinical outcomes of breast cancer patients who were treated with NCT. Pooled analyses were performed using fixed effects models. Two reviewers screened all titles and abstracts and independently assessed all articles.

RESULTS

A total of 36 studies involving 6793 patients were included in the meta-analysis. Pooled analysis results revealed that patients with high Ki-67 LI exhibited significantly higher pCR rates (odds ratio [OR] = 3.94, 95% confidence interval [CI]: 3.33-4.67, P <.001) but poorer relapse-free survival (OR = 1.99, 95% CI: 1.39-2.85, P <.001) than those with low Ki-67 LI, but there was no significant difference in objective tumor response rate.

CONCLUSION

The meta-analysis reported here demonstrates that pretherapeutic Ki-67 LI is associated with pCR in breast cancer patients undergoing NCT. More phase III randomized clinical trials will be required to confirm our findings.

The predictive value of Ki-67 before neoadjuvant chemotherapy for breast cancer: a systematic review and meta-analysis

AIM

To review the predictive values of Ki-67 before neoadjuvant chemotherapy (NAC) for breast cancer patients.

METHODS

PubMed and EMBASE were searched. Random-effect model meta-analysis was conducted using Revman software.

RESULTS

High Ki-67 was associated with more pathological complete responses (pCRs) events (odds ratio: 3.10; 95% CI: 2.52-3.81; 53 studies, 10,848 patients) regardless of HR⁺, HER2⁺ and triple-negative breast cancer types, the definitions of pCR and cut-off points for Ki-67. Ki-67 could predict pCR in those who received anthracyclines plus taxanes, and anthracyclines only, and those from Asia and Europe.

CONCLUSION

High Ki-67 before NAC was a predictor for pCR in neoadjuvant setting for breast cancer patients.

Neoadjuvant chemotherapy for different molecular breast cancer subtypes: a retrospective study in Russian population

The aim of this retrospective study was to evaluate the objective clinical response (cOR), pathological complete response (pCR), and progression-free survival (PFS) in 231 Russian patients with four subtypes of breast cancer treated with neoadjuvant chemotherapy. About 130 (56.3 %) patients received anthracycline-based, 56 (24.2 %) capecitabine-containing (CAX), 28 (12.1 %) taxotere and 17 (7.4 %) non-anthracycline-containing chemotherapy regimens at the Tomsk Cancer Research Institute between 2000 and 2010. Tumors were subtyped according to the hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) immunohistochemical data. The majority of tumors (48.9 %) were ER+/PR+ and HER2-negative (HR+/HER2-), 10.4 % were ER+ PR+ and HER2-positive (HR+/HER2+), 9.1 % were ER-/PR- and HER2-overexpressed (HER2-enriched) and 31.6 % were ER-/PR- and HER2-negative (triple negative). Both cOR and pCR were significantly higher in the triple-negative tumors compared to the other subtypes (P = 0.021 and P = 0.033, respectively). Among the four chemotherapy regimens, only CAX regimen had a predictive value for cOR (HR 2.30, 95 % CI 1.16-4.58, P = 0.009). Multivariate regression analysis showed that the triple-negative subtype (HR 2.54, 95 % CI 1.06-1.42, P = 0.011) and CAX regimen (HR 3.01, 95 % CI 1.01-1.46, P = 0.002) were significantly associated with cOR. No association between patient's PFS and a tumor subtype was observed. However, there was a trend for a prolonged PFS among patients with cOR (P = 0.056). Our data indicate a potentially better prognosis for triple-negative breast cancer patients if treated with the CAX neoadjuvant regimen.

Biological markers and response to neoadjuvant taxane-based chemotherapy in patients with locally advanced breast cancer

Introduction. Biological markers as Her2/neu, p53, and hormonal receptors (HmRs) may be reliable parameters for prognostic assessment of patients of locally advanced breast cancer (LABC). This work aims at assessing the potential value of these biological markers for the prediction of disease outcome after neoadjuvant taxane-based chemotherapy and its implication on the surgical role. Patients and Methods. From March 2006 to September 2011, 95 patients with LABC were treated by neoadjuvant taxane-based chemotherapy given at intervals of 3 weeks. Expression of Her2/neu and p53 was examined in the initial tissue biopsy by using ELISA technique. Status of HmRs was determined using a commercial enzyme immunoassay. Three weeks after the third cycle, patients underwent surgical resection followed by 3 more cycles of taxane-based chemotherapy and radiotherapy as an adjuvant therapy. Relations of Her2/neu overexpression to p53, HmRs, and conventional prognostic factors were analyzed. Results. Median followup was 61 months. The 5-year DFS and OAS rates were significantly higher in patients with positive HmRs than in those with negative HmRs, patients with Her2- than those with Her2+ breast cancer, and patients with intact p53 breast cancer than those with inactive p53. HER-2 overexpression was statistically significant associated with loss of HmR positive immunostaining (P < 0.0001), grade III breast cancer (P < 0.0001), advanced nodal status (P = 0.0039), and younger (<50 years) age (P = 0.0108). Conclusion. Her2/neu overexpression was associated with poor DFS and OAS rates, as it was significantly associated with negative HmR and high grade.

Value of TP53 status for predicting response to neoadjuvant chemotherapy in breast cancer: a meta-analysis

Background

Numerous studies have yielded inconclusive results regarding the relationship between tumor suppressor protein TP53 overexpression and/or TP53 gene mutations and the response to neoadjuvant chemotherapy in patients with breast cancer. The purpose of the current study was therefore to evaluate the relationship between TP53 status and response to chemotherapy in breast cancer.

Methods and Findings

A total of 26 previously published eligible studies including 3,476 cases were identified and included in this meta-analysis. TP53 status (over expression of TP53 protein and/or TP53 gene mutations) was associated with good response in breast cancer patients who received neoadjuvant chemotherapy (total objective response: risk ratio [RR]  = 1.20, 95% confidence interval [CI]  = 1.09–1.33, p<0.001; pathological objective response: RR = 1.37, 95% CI = 1.20–1.57, p<0.01; total complete response: RR = 1.33, 95% CI = 1.15–1.53, p<0.001; pathological complete response: RR = 1.45, 95% CI = 1.25–1.68, p<0.001). In further stratified analyses, this association also existed among the studies using anthracycline-based neoadjuvant chemotherapy, and the association between response and the presence of gene alterations was stronger than that between response and immunohistochemistry positivity.

Conclusion

The results of the present meta-analysis suggest that TP53 status is a predictive factor for response in breast cancer patients undergoing neoadjuvant chemotherapy. Further larger and well-designed prospective studies are required to evaluate the predictive role of TP53 status in clinical practice.

Common and discriminative clinicopathological features between breast cancers with pathological complete response or progressive disease in response to neoadjuvant chemotherapy

PURPOSE

To clarify clinicopathological similarities and differences between breast carcinomas that achieve pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) and those showing progressive disease (PD) during NAC, we compared pre-NAC clinicopathological characteristics between these tumors.

METHODS

Subjects comprised 32 patients (6%) achieved pCR and 33 patients (7%) showed PD of 494 patients (498 breasts) with stage II or III breast carcinoma who underwent anthracycline-based or taxane chemotherapy or both, followed by surgery, between 2000 and 2006. We compared patient characteristics before NAC, and histomorphology, immunohistochemistry, and molecular subtypes of tumors using pre-NAC biopsy samples. Immunohistochemistry included estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor-2 (HER2), epidermal growth factor receptor (EGFR), cytokeratin 5/6 (CK5/6). Molecular subtypes were defined by ER, PgR, HER2, EGFR, and CK5/6. We compared these factors between pCR and PD using univariate chi (2) testing and multivariate logistic regression analyses.

RESULTS

No significant differences between groups were seen regarding NAC regimens. Solid-tubular carcinoma (53% of pCR, 61% of PD), histological grade 3 (78% of pCR, 79% of PD), ER-status (91% of pCR, 82% of PD), and basal-like subtype (44% of pCR, 58% of PD) were often observed in both groups. In multivariate analyses, lower clinical N stage at diagnosis (P = 0.004) and HER2/ER-PgR- subtype (P = 0.020) were significantly associated with pCR.

CONCLUSIONS

Breast carcinomas achieving pCR or showing PD with NAC have common peculiar characteristics such as solid-tubular carcinoma, high grade, hormone receptor negativity, and basal-like subtype. Conversely, discriminative factors include clinical N stage at diagnosis and HER2/ER-PgR- subtype.