Identification of long-term survival-associated gene in breast cancer.
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ABSTRACT:
SUBMITTER: Ning S
PROVIDER: S-EPMC7655188 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The impact of some prognostic factors on breast cancer survival has been shown to vary with time since diagnosis. However, this phenomenon has not been evaluated in Asians. In the present study, 4886 patients were recruited from the Shanghai Breast Cancer Survival Study, a longitudinal study of patients diagnosed during 2002-2006, with a median follow-up time of 11.2 years. Cox model incorporating time-by-covariate interactions was used to describe the time-varying effects of prognostic factors related to overall survival and disease-free survival. Age ≥65 years showed a progressively negative effect on breast cancer prognosis over time, whereas tumour size >2 cm had a lasting and constant impact. Age significantly modified the effects of the tumour grade, nodal status and oestrogen receptor (ER) status on breast cancer survival. The detrimental effect of poorly differentiated tumours was time limited and more obvious in patients aged 45-54 years. Having ≥4 positive lymph nodes had a persistent and negative impact on prognosis, although it attenuated in later years; the phenomenon was more prominent in the 55-64-year age group. ER-positive status was protective in the first 3 years after diagnosis but was related to a higher risk of recurrence in later years; the time-point when ER-positive status turned into a risk factor was earlier in younger patients. These results suggest that older age, positive lymph node status, larger tumour size and ER-positive status are responsible for late death or recurrence in Asian breast cancer survivors. Extended endocrine therapy should be given earlier in younger ER-positive patients.
| S-EPMC5862777 | biostudies-literature
Project description:PURPOSE:Multi-gene signatures provide biological insight and risk stratification in breast cancer. Intrinsic molecular subtypes defined by mRNA expression of 50 genes (PAM50) are prognostic in hormone-receptor positive postmenopausal breast cancer. Yet, for 25-40% in the PAM50 intermediate risk group, long-term risk remains uncertain. Our study aimed to (i) test the long-term prognostic value of the PAM50 signature in pre- and post-menopausal breast cancer; (ii) investigate if the PAM50 model could be improved by addition of other mRNAs implicated in oncogenesis. METHODS:We used archived FFPE samples from 1723 breast cancer survivors; high quality reads were obtained on 1253 samples. Transcript expression was quantified using a custom codeset with probes for >?100 targets. Cox models assessed gene signatures for breast cancer relapse and survival. RESULTS:Over 15?+ years of follow-up, PAM50 subtypes were (P?<?0.01) associated with breast cancer outcomes after accounting for tumor stage, grade and age at diagnosis. Results did not differ by menopausal status at diagnosis. Women with Luminal B (versus Luminal A) subtype had a >?60% higher hazard. Addition of a 13-gene hypoxia signature improved prognostication with >?40% higher hazard in the highest vs lowest hypoxia tertiles. CONCLUSIONS:PAM50 intrinsic subtypes were independently prognostic for long-term breast cancer survival, irrespective of menopausal status. Addition of hypoxia signatures improved risk prediction. If replicated, incorporating the 13-gene hypoxia signature into the existing PAM50 risk assessment tool, may refine risk stratification and further clarify treatment for breast cancer.
| S-EPMC6985186 | biostudies-literature
Project description:Luminal breast cancer constitutes a group of highly heterogeneous diseases with a sustained high risk of late recurrence. We aimed to develop comprehensive and practical nomograms to better estimate the long-term survival of luminal breast cancer.Patients with luminal breast cancer diagnosed between 1990 and 2006 were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database and randomly divided into the training (n = 87,867) and validation (n = 88,215) cohorts. The cumulative incidence function (CIF) and a competing-risks model were used to estimate the probability of breast cancer-specific survival (BCSS) and death from other causes. We integrated significant prognostic factors to build nomograms and subjected the nomograms to bootstrap internal validation and to external validation.We screened 176,082 luminal breast cancer cases. The 5- and 10-year probabilities of overall death were 0.089 and 0.202, respectively. The 5- and 10-year probabilities of breast cancer-specific mortality (BCSM) were 0.053 and 0.112, respectively. Nine independent prognostic factors for both OS and BCSS were integrated to construct the nomograms. The calibration curves for the probabilities of 5- and 10-year OS and BCSS showed excellent agreement between the nomogram prediction and actual observation. The C-indexes of the nomograms were high in both internal validation (0.732 for OS and 0.800 for BCSS) and external validation (0.731 for OS and 0.794 for BCSS).We established nomograms that accurately predict OS and BCSS for patients with luminal breast cancer. The nomograms can identify patients with higher risk of late overall mortality and BCSM, helping physicians in facilitating individualized treatment.
| S-EPMC4991470 | biostudies-literature
Project description:BACKGROUND:There is substantial variation in breast cancer survival rates, even among patients with similar clinical and genomic profiles. New biomarkers are needed to improve risk stratification and inform treatment options. Our aim was to identify novel miRNAs associated with breast cancer survival and quantify their prognostic value after adjusting for established clinical factors and genomic markers. METHODS:Using the Women's Healthy Eating and Living (WHEL) breast cancer cohort with >15 years of follow-up and archived tumor specimens, we assayed PAM50 mRNAs and 25 miRNAs using the Nanostring nCounter platform. RESULTS:We obtained high-quality reads on 1,253 samples (75% of available specimens) and used an existing research-use algorithm to ascertain PAM50 subtypes and risk scores (ROR-PT). We identified miRNAs significantly associated with breast cancer outcomes and then tested these in independent TCGA samples. miRNAs that were also prognostic in TCGA samples were further evaluated in multiple regression Cox models. We also used penalized regression for unbiased discovery. CONCLUSIONS:Two miRNAs, 210 and 29c, were associated with breast cancer outcomes in the WHEL and TCGA studies and further improved risk stratification within PAM50 risk groups: 10-year survival was 62% in the node-negative high miR-210-high ROR-PT group versus 75% in the low miR-210- high ROR-PT group. Similar results were obtained for miR-29c. We identified three additional miRNAs, 187-3p, 143-3p, and 205-5p, via penalized regression. IMPACT:Our findings suggest that miRNAs might be prognostic for long-term breast cancer survival and might improve risk stratification. Further research to incorporate miRNAs into existing clinicogenomic signatures is needed.
| S-EPMC6726562 | biostudies-literature
Project description:Prior to availability of anti-HER2 therapies, HER2-positive metastatic breast cancer (MBC) was associated with a poor prognosis. Prospective randomized trials have demonstrated survival benefit from anti-HER2 treatments. Anecdotal observations have suggested that a small but meaningful fraction of patients with HER2-positive MBC may be "exceptional responders" with long survival. We hypothesized that demographic and/or clinicopathologic characteristics can be identified to distinguish short-term from long-term survivors. A retrospective, single-institution review of 168 patients with HER2-positive MBC who received treatment with anti-HER2 therapy in the metastatic setting was performed. Cox proportional hazards analysis was used to assess factors associated with long-term survival. Median overall survival from the time of breast cancer recurrence was 3.9 years (95 % CI 3.4-5.2). From the time of diagnosis of MBC, 56 (33 %) survived for 5 or more years and 12 (7 %) survived more than 10 years. Of the 66 patients diagnosed with central nervous system metastases, 9 (14 %) survived more than 5 years following that diagnosis. Younger age at diagnosis, lower stage, hormone receptor positive status, and only having one organ involved at diagnosis were associated with longer survival. Four patients discontinued anti-HER2 therapy and are without evidence of progression of disease after a median 7.4 years (0.2-12.0) since stopping therapy. In a cohort of patients with HER2-positive MBC treated primarily with trastuzumab and lapatinib, 7 % of patients were "exceptional responders." Combining these clinical factors with molecular determinants of prolonged survival may provide insights for individualizing treatment selection.
| S-EPMC4895232 | biostudies-literature
Project description:Previous research identified differences in breast cancer-specific mortality across 4 intrinsic tumor subtypes: luminal A, luminal B, basal-like, and human epidermal growth factor receptor 2 positive/estrogen receptor negative (HER2(+)/ER(-)).We used immunohistochemical markers to subtype 1,149 invasive breast cancer patients (518 African American, 631 white) in the Carolina Breast Cancer Study, a population-based study of women diagnosed with breast cancer. Vital status was determined through 2006 using the National Death Index, with median follow-up of 9 years.Cancer subtypes luminal A, luminal B, basal-like, and HER2(+)/ER(-) were distributed as 64%, 11%, 11%, and 5% for whites, and 48%, 8%, 22%, and 7% for African Americans, respectively. Breast cancer mortality was higher for participants with HER2(+)/ER(-) and basal-like breast cancer compared with luminal A and B. African Americans had higher breast cancer-specific mortality than whites, but the effect of race was statistically significant only among women with luminal A breast cancer. However, when compared with the luminal A subtype within racial categories, mortality for participants with basal-like breast cancer was higher among whites (HR = 2.0, 95% CI: 1.2-3.4) than African Americans (HR = 1.5, 95% CI: 1.0-2.4), with the strongest effect seen in postmenopausal white women (HR = 3.9, 95% CI: 1.5-10.0).Our results confirm the association of basal-like breast cancer with poor prognosis and suggest that basal-like breast cancer is not an inherently more aggressive disease in African American women compared with whites. Additional analyses are needed in populations with known treatment profiles to understand the role of tumor subtypes and race in breast cancer mortality, and in particular our finding that among women with luminal A breast cancer, African Americans have higher mortality than whites.
| S-EPMC3029098 | biostudies-literature
Project description:Compared with surgery alone, postoperative adjuvant radiotherapy (RT) improves relapse-free survival of patients with early-stage breast cancer. We evaluated the long-term overall and disease-free survival rates of neoadjuvant (presurgical) versus adjuvant RT in early-stage breast cancer patients.We used the Surveillance, Epidemiology, and End Results (SEER) database provided by the National Institutes of Health to derive an analytic dataset of 250,195 female patients with early-stage breast cancer who received RT before (n?=?2554; 1.02%) or after (n?=?247,641; 98.98%) surgery. Disease-free survival, defined as time to diagnosis of a second primary tumor at any location, was calculated from automated patient identification matching of all SEER records.Partial and complete mastectomies were performed in 94.4% and 5.6% of patients, respectively. In the largest cohort of estrogen receptor-positive women who underwent partial mastectomy, the HR of developing a second primary tumor after neoadjuvant compared with adjuvant RT was 0.64 (95% CI 0.55-0.75; P?<?0.0001). Overall survival was independent of radiation sequence (HR 1; P?=?0.95). Neoadjuvant RT also resulted in a lower HR for second primary cancer among estrogen receptor-positive patients who underwent mastectomy compared with those who received adjuvant RT (HR 0.48, 95% CI 0.26-0.87; P?=?0.0162).Neoadjuvant RT may significantly improve disease-free survival without reducing overall survival, especially for estrogen receptor-positive patients with early-stage breast cancer. This finding warrants further exploration of potential long-term benefits of neoadjuvant radiotherapy for early-stage breast cancer in a controlled, prospective clinical trial setting, with correlative studies done to identify potential mechanisms of superiority.
| S-EPMC5493088 | biostudies-literature
Project description:INTRODUCTION:Long-term survival is still rarely achieved with current systemic treatment in patients with breast cancer liver metastases (BCLM). Extended survival after hepatectomy was examined in a select group of BCLM patients. PATIENTS AND METHODS:Hepatectomy for BCLM was performed in 139 consecutive patients between 1985 and 2012. Patients who survived < 5 years were compared to those who survived ≥ 5 years from first diagnosis of hepatic metastases. Predictive factors for survival were analyzed. Statistically cured, defined as those patients who their hazard rate returned to that of the general population, was analyzed. RESULTS:Of the 139, 43 patients survived ≥ 5 years. Significant differences between patient groups (< 5 vs. ≥ 5 years) were mean time interval between primary tumor and hepatic metastases diagnosis (50 vs. 43 months), mean number of resected tumors (3 vs. 2), positive estrogen receptors (54% vs. 79%), microscopic lymphatic invasion (65% vs. 34%), vascular invasion (63% vs. 37%), hormonal therapy after resection (34% vs. 74%), number of recurrence (40% vs. 65%) and repeat hepatectomy (1% vs. 42%), respectively. The probability of statistical cure was 14% (95% CI 1.4-26.7%) in these patients. CONCLUSIONS:Hepatectomy combined with systemic treatment can provide a chance of long-term survival and even cure in selected patients with BCLM. Microscopic vascular/lymphatic invasion appears to be a novel predictor for long-term survival after hepatectomy for BCLM and should be part of the review when discussing multidisciplinary treatment strategies.
| S-EPMC5993851 | biostudies-literature
Project description:BackgroundRecent years, the global prevalence of breast cancer (BC) was still high and the underlying molecular mechanisms remained largely unknown. The investigation of prognosis-related biomarkers had become an urgent demand.ResultsIn this study, gene expression profiles and clinical information of breast cancer patients were downloaded from the TCGA database. The differentially expressed genes (DEGs) were estimated by Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. A risk score formula involving five novel prognostic associated biomarkers (EDN2, CLEC3B, SV2C, WT1, and MUC2) were then constructed by LASSO. The prognostic value of the risk model was further confirmed in the TCGA entire cohort and an independent external validation cohort. To explore the biological functions of the selected genes, in vitro assays were performed, indicating that these novel biomarkers could markedly influence breast cancer progression.ConclusionsWe established a predictive five-gene signature, which could be helpful for a personalized management in breast cancer patients.
| S-EPMC8428534 | biostudies-literature
Project description:BACKGROUND:It remains unclear whether breast cancer subtypes are associated with clinical outcome in patients without any treatment including systemic and radiation therapy as an independent entity. Understanding the survival profiles among subtypes by treatment status could impact optimal selection of treatments. METHODS:Patients were diagnosed with invasive breast cancer from the community hospitals across four geographical regions of the United States. Expression of hormone receptor (HR) and HER2 in tumor specimens from 1169 patients was centrally determined by immunohistochemistry and fluorescence in situ; breast cancer was classified into HR+/HER2-, HR+/HER2+, triple-negative, and HER2+ subtypes. Overall survival (OS) at a median follow-up of about 15 years among subtypes in untreated patients and those with systemic treatments and radiotherapy was analyzed by Kaplan-Meier method and multivariable analysis adjusting for age, tumor size and grade, number of positive nodes, stage and breast cancer subtypes. RESULTS:Without treatment, breast cancer subtypes were not associated with OS (P = 0.983) and remained insignificant for prognosis by multivariable analysis after adjusting for confounders. This contrasted with a significant survival difference across the subtypes in patients with conventional therapies (P < 0.0001). Compared with HR+/HER2- subtype, triple-negative subtype (HR 1.5, 95% CI 1.11-2.04; P = 0.009) and HER2+ subtype (HR 2.18, 95% CI 1.48-3.28; P = 0.0001) were significantly associated with worse survival by multivariable analyses. CONCLUSION:Breast cancer subtypes are not associated with survival in untreated patient population and, in contrast, significantly associated with prognosis in patients with conventional therapy. The data provide evidence of treatment-associated differential outcomes among breast cancer subtypes.
| S-EPMC6533413 | biostudies-other