Prognostic effect analysis of molecular subtype on young breast cancer patients

Local surgery improves survival in elderly patients with stage IV breast cancer: a population-based retrospective cohort study

Background

Little is known about the role of local therapy in elderly patients with stage IV breast cancer. This study aimed to evaluate the effect of local therapy including surgery and radiotherapy in this kind of population by using the Surveillance, Epidemiology, and End Results (SEER) database.

Methods

Eligible patients diagnosed between 2010 and 2015 were selected from the SEER database. Baseline characteristics, way of local therapy and survival information were collected for survival and analysis of prognostic factors. Cause-specific survival (CSS) curves were calculated using the Kaplan-Meier (KM) method and compared by the log-rank test. Cox regression and multivariate competing risk analyses were used to analyze prognosis factors.

Results

A total of 1,900 patients were enrolled with the median age of 71 (range, 65 to 95) years. The 5-year CSS of patients with surgery was significantly better than that of those who did not (36.5% vs. 22.4%, P<0.001). Moreover, surgery was an independent protective factor for CSS in both multivariate Cox regression analysis [hazard ratio (HR), 0.588; 95% confidence interval (CI), 0.485-0.643; P<0.001] and multivariate competing risk analysis [subdistribution HR (SHR), 0.620; 95% CI, 0.535-0.718; P<0.001]. Stratified analysis showed that most subgroup patients could benefit from surgery. The 5-year CSS of patients with radiotherapy was comparable to those without radiotherapy (28.9% vs. 26.5%, P=0.060), and radiotherapy was not an independent prognostic factor for CSS (SHR, 1.005; 95% CI, 0.846-1.202; P=0.954). However, subgroup analysis found that patients with moderate grade in histopathology, luminal A, or triple-negative breast cancer (TNBC) subtype could benefit from radiotherapy (all P<0.05).

Conclusions

Elderly patients with stage IV breast cancer can benefit from surgical treatment. This study helps to select the appropriate group for local surgery or radiotherapy according to the personal situation of the elderly to obtain the maximum benefit.

T1-2N1M0 triple-negative breast cancer patients from the SEER database showed potential benefit from post-mastectomy radiotherapy

The effects of post-mastectomy radiotherapy (PMRT) on different subtypes of T1-2N1M0 breast cancer remain controversial. Patients with T1-2N1M0 breast cancer treated by mastectomy or mastectomy and PMRT were identified from the 2010–2013 dataset from the Surveillance, Epidemiology and End Results (SEER) registry. A total of 7,466 patients with the 7th American Joint Committee on Cancer stage (Tumor-Node-Metastasis stages 1–2, 1 and 0, respectively) including 2,760 cases (36.97%) treated by mastectomy and PMRT and 4,706 cases (63.03%) treated by mastectomy alone were analyzed in this study. The follow-up time for patients in the dataset used from the SEER registry was 0–59 months. The breast cancer-specific survival (BCSS) of the patients was derived from the SEER dataset and stratified by treatment approach. A propensity score matching (PSM) analysis (experimental group: Control group ratio, 1:1) was conducted. Using univariate and multivariate analyses Cox proportional hazards analyses, PMRT was identified as an independent prognostic factor for triple-negative breast cancer (TNBC). Before PSM analysis, the BCSS favored PMRT in the hormone receptor (HR)⁺/human epidermal growth factor receptor 2 (HER2)⁺ (P=0.025) and HR⁻/HER2⁻ groups (P=0.010) but not in the HR⁺/HER2⁻ (P=0.346) and HR⁻/HER2⁺ (P=0.288) groups. Following PSM analysis, BCSS favored PMRT alone in the TNBC (HR⁻/HER2⁻) group (P=0.025). Patients with T1-2N1M0 TNBC may benefit from radiotherapy post-mastectomy.

Correlation of radiotherapy with prognosis of elderly patients with hormone receptor-positive breast cancer according to immunohistochemical subtyping

Objective

The present study examined the effect of radiotherapy on recurrence and survival in elderly patients with hormone receptor-positive early breast cancer.

Methods

A retrospective analysis of 327 patients aged ≥65 years, with stage I−II, hormone receptor-positive breast cancer who underwent breast-conserving surgery and received endocrine therapy (ET) or radiotherapy plus endocrine therapy (ET+RT) was performed. Both groups were divided into luminal A type and luminal B type subgroups. Evaluation criteria were 5-year disease-free survival (DFS), local relapse rate (LRR), overall survival (OS), and distant metastasis rate (DMR).

Results

There were significant differences in 5-year DFS [hazard ratio (HR)=1.59, 95% confidence interval (95% CI), 1.15−2.19; P=0.005] and LRR (HR=3.33, 95% CI, 1.51−7.34; P=0.003), whereas there were no significant differences in OS and DMR between ET group and ET+RT group. In luminal A type, there was no significant difference in 5-year DFS, LRR, OS and DMR between ET group and ET+RT group. In luminal B type, there were statistically significant differences in 5-year DFS (HR=2.19, 95% CI, 1.37−3.49; P=0.001), LRR (HR=5.45, 95% CI, 1.65−17.98; P=0.005), and OS (HR=1.75, 95% CI, 1.01−3.05; P=0.048) between ET group and ET+RT group. In the ET group, there were significant differences between luminal A type and luminal B type in 5-year DFS (HR=1.84, 95% CI, 1.23−2.75; P=0.003) and OS (HR=1.76, 95% CI, 1.07−2.91; P=0.026).

Conclusions

After breast-conserving surgery, radiotherapy can reduce the LRR and improve the DFS and OS of luminal B type elderly patients, whereas luminal A type elderly patients do not benefit from radiotherapy. Without radiotherapy, luminal A type patients have better DFS and OS than luminal B type patients.

Use of clinical nomograms for predicting survival outcomes in young women with breast cancer

Early-onset breast cancer (BC) has been recognized to be more aggressive compared with its later counterparts. Survival models of BC in young patients have rarely been reported in previous studies. The current study aimed to establish and validate prediction models with clinicopathological variables for visceral metastasis-free survival (VFS), disease-free-survival (DFS) and overall survival (OS) time in young patients with BC. Clinicopathological data were obtained for 351 patients with primary breast tumors who were ≤40 years old. Univariate and multivariate analyses were performed and nomograms were established to screen and illustrate the prognostic factors. Risk scores were calculated based on coefficients from the Cox regression analysis. Internal validation of the prediction models was conducted by predicting the prognosis of cases randomly sampled from the cohort used in the current study. Multivariate analysis demonstrated that N stage (P=0.004), molecular subtype (P=0.007) and age (P=0.005) were significant independent prognostic factors for VFS. Similarly, N stage (P=0.002) and molecular subtype (P=0.001) were significantly associated with DFS. In addition, N stage (P=0.006), molecular subtype (P=0.006) and the presence of an initially inoperable tumor (P=0.005) were significant independent prognostic factors for OS. According to the Cox regression analysis, nomograms were generated to illustrate the effect of independent prognostic factors on VFS, DFS and OS. Risk scores were calculated and internal validation demonstrated the reliability of the prediction models. In conclusion, N stage and molecular subtype were identified as predictors for VFS, DFS and OS in early-onset BC. Furthermore, an age of <35 years at diagnosis was revealed to be unfavorable for VFS and the presence of an initially inoperable tumor was identified to reduce OS time.

Specific breast cancer prognosis-subtype distinctions based on DNA methylation patterns

Tumour heterogeneity is an obstacle to effective breast cancer diagnosis and therapy. DNA methylation is an important regulator of gene expression, thus characterizing tumour heterogeneity by epigenetic features can be clinically informative. In this study, we explored specific prognosis-subtypes based on DNA methylation status using 669 breast cancers from the TCGA database. Nine subgroups were distinguished by consensus clustering using 3869 CpGs that significantly influenced survival. The specific DNA methylation patterns were reflected by different races, ages, tumour stages, receptor status, histological types, metastasis status and prognosis. Compared with the PAM50 subtypes, which use gene expression clustering, DNA methylation subtypes were more elaborate and classified the Basal-like subtype into two different prognosis-subgroups. Additionally, 1252 CpGs (corresponding to 888 genes) were identified as specific hyper/hypomethylation sites for each specific subgroup. Finally, a prognosis model based on Bayesian network classification was constructed and used to classify the test set into DNA methylation subgroups, which corresponded to the classification results of the train set. These specific classifications by DNA methylation can explain the heterogeneity of previous molecular subgroups in breast cancer and will help in the development of personalized treatments for the new specific subtypes.

A retrospective prognostic evaluation analysis using the 8th edition of American Joint Committee on Cancer (AJCC) cancer staging system for luminal A breast cancer

OBJECTIVE

We retrospectively analyzed the clinical prognostic value of the 8th edition of the American Joint Committee on Cancer (AJCC) staging system for luminal A breast cancer.

METHODS

Using both the anatomic and prognostic staging in the 8th edition of AJCC cancer staging system, we restaged patients with luminal A breast cancer treated at the Breast Disease Center, Peking University First Hospital from 2008 to 2014. Follow-up data including 5-year disease free survival (DFS), overall survival (OS) and other clinic-pathological data were collected to analyze the differences between the two staging subgroups.

RESULTS

This study included 421 patients with luminal A breast cancer (median follow-up, 61 months). The 5-year DFS and OS rates were 98.3% and 99.3%, respectively. Significant differences in 5-year DFS but not OS were observed between different anatomic disease stages. Significant differences were observed in both 5-year DFS and OS between different prognostic stages. Application of the prognostic staging system resulted in assignment of 175 of 421 patients (41.6%) to a different group compared to their original anatomic stages. In total, 102 of 103 patients with anatomic stage IIA changed to prognostic stage IB, and 24 of 52 patients with anatomic stage IIB changed to prognostic stage IB, while 1 changed to prognostic stage IIIB. Twenty-two of 33 patients with anatomic stage IIIA were down-staged to IIA when staged by prognostic staging system, and the other 11 patients were down-staged to IIB. Two patients with anatomic stage IIIB were down-staged to IIIA. Among seven patients with anatomic stage IIIC cancer, two were down-staged to IIIA and four were down-staged to stage IIIB.

CONCLUSIONS

The 8th edition of AJCC prognostic staging system is an important supplement to the breast cancer staging system. More clinical trials are needed to prove its ability to guide selection of proper systemic therapy and predict prognosis of breast cancer.

True Local Recurrences after Breast Conserving Surgery have Poor Prognosis in Patients with Early Breast Cancer

Background:

This study was aimed at investigating clinical and histopathologic features of ipsilateral breast tumor recurrences (IBTR) and their effects on survival after breast conservation therapy.

Methods:

1,400 patients who were treated between 1998 and 2007 and had breast-conserving surgery (BCS) for early breast cancer (cT1-2/N0-1/M0) were evaluated. Demographic and pathologic parameters, radiologic data, treatment, and follow-up related features of the patients were recorded.

Results:

53 patients (3.8%) had IBTR after BCS within a median follow-up of 70 months. The mean age was 45.7 years (range, 27-87 years), and 22 patients (41.5%) were younger than 40 years. 33 patients (62.3%) had true recurrence (TR) and 20 were classified as new primary (NP). The median time to recurrence was shorter in TR group than in NP group (37.0 (6-216) and 47.5 (11-192) months respectively; p = 0.338). Progesterone receptor positivity was significantly higher in the NP group (p = 0.005). The overall 5-year survival rate in the NP group (95.0%) was significantly higher than that of the TR group (74.7%, p < 0.033). Multivariate analysis showed that younger age (<40 years), large tumor size (>20 mm), high grade tumor and triple-negative molecular phenotype along with developing TR negatively affected overall survival (hazard ratios were 4.2 (CI 0.98-22.76), 4.6 (CI 1.07-13.03), 4.0 (CI 0.68-46.10), 6.5 (CI 0.03-0.68), and 6.5 (CI 0.02- 0.80) respectively, p < 0.05).

Conclusions:

Most of the local recurrences after BCS in our study were true recurrences, which resulted in a poorer outcome as compared to new primary tumors. Moreover, younger age (<40), large tumor size (>2 cm), high grade, triple negative phenotype, and having true recurrence were identified as independent prognostic factors with a negative impact on overall survival in this dataset of patients with recurrent breast cancer. In conjunction with a more intensive follow-up program, the role of adjuvant therapy strategies should be explored further in young patients with large and high-risk tumors to reduce the risk of TR.

Body mass index and treatment outcomes following neoadjuvant therapy in women aged 45 y or younger: Evidence from a historic cohort

PURPOSE

Large and consistent evidence supports the role of body mass index (BMI) as a prognostic and predictive indicator in breast cancer. However, there is paucity of data specifically referred to women diagnosed at a young age across the different disease settings. We investigated the impact of BMI on treatment outcomes in 86 breast cancer patients aged 45 y or less treated with neoadjuvant chemotherapy (CT) followed by surgery.

METHODS

Pathologic complete response (pCR) was defined as the eradication of cancer from both breast and lymph nodes. Overall survival (OS) and disease-free survival (DFS) were calculated using the Kaplan-Meier product-limit method. Curves were compared by long rank test for significance. Potential predictors of survival were tested in Cox models.

RESULTS

We observed a pCR in 19 patients (22%). Lower values of BMI were more commonly associated with pCR (p = 0.05). Results from univariate, but not multivariate, models were somewhat supportive of higher pCR rates in leaner women (p = 0.06). None of the variables impacted DFS. OS was longer in leaner patients (medians and 95%CI: 74.6 months, 66.2-82.9 and 58.5 months, 49.6-67.4, p = 0.009). Longer OS was also related to lower T-stage, adjuvant radiotherapy (RT), and non triple negative (TN) subtype (p = 0.046, p = 0.024, and p = 0.015, respectively). Cox models confirmed the protective role of lower BMI (Hazard Ratios: 0.30, 95%CI: 0.12-0.71, p = 0.007), non TN subtype and adjuvant RT (p = 0.008 and p = 0.024).

CONCLUSIONS

In young breast cancer patients treated with neoadjuvant CT followed by surgery, lower values of BMI are associated with longer OS. Our data also showed longer OS in association with a non TN molecular subtype and adjuvant RT. The modifiable nature of BMI and aggressive biologic behavior of the disease diagnosed at a young age encourage further studies to corroborate our findings.