The TNM staging system and breast cancer

Do we need reshape rTNM staging system for ipsilateral breast tumor recurrence of breast cancer? A population-based, propensity score matched cohort study

BACKGROUND

The aim of the study was to explore the role of recurrent TNM (rTNM) staging in predicting prognosis for ipsilateral breast tumor recurrence (IBTR) and determine the optimal treatment strategy for IBTR.

METHOD

IBTR cases were identified from the Surveillance, Epidemiology, and End Results (SEER) database spanning the years 2000-2018. Cox proportional hazards analysis was performed to examine factors associated with overall survival (OS) and breast cancer-specific survival (BCSS). Propensity score matching (PSM) was employed to match IBTR with primary early breast cancer (EBC) based on clinicopathological characteristics. Investigations into the impact of different therapies were also included.

RESULTS

Of the 4375 IBTR cases included in the study, the 5-year OS was 87.1%, 71.6% and 58.7% in rTNM stages I, II and III, respectively. After PSM, while IBTR patients had worse survival to primary EBC patients, prognosis of IBTR for different rTNM stage always closely aligned with the corresponding stage of primary EBC. Repeat breast-conserving surgery (BCS) with radiation therapy was equivalent to mastectomy with respect to OS and BCSS. Chemotherapy was favorable for OS and BCSS in estrogen receptor (ER)-negative IBTR or IBTR occurring within a 60-month interval.

CONCLUSIONS

rTNM staging system has an outstanding prognostic value for survival outcome of patients with IBTR, and IBTR and primary EBC may have potentially analogous features in the context of TNM staging. BCS plus radiation therapy may be an alternative. IBTR cases who have experienced recurrence with short intervals and with ER-negative tumors might benefit from chemotherapy.

Systematic review and meta-analysis of prognostic characteristics for breast cancers in populations with digital vs film mammography indicate the transition may have increased both early detection and overdiagnosis

OBJECTIVES

Film mammography has been replaced by digital mammography in breast screening programs globally. This led to a small increase in the rate of detection, but whether the detection of clinically important cancers increased is uncertain. We aimed to assess the impact on tumor characteristics of screen-detected and interval breast cancers.

STUDY DESIGN AND SETTING

We searched seven databases from inception to October 08, 2023, for publications comparing film and digital mammography within the same population of asymptomatic women at population (average) risk of breast cancer. We recorded reported tumor characteristics and assessed risk of bias using the Risk Of Bias In Non-randomised Studies - of Interventions tool. We synthesized results using meta-analyses of random effects.

RESULTS

Eighteen studies were included in the analysis from 8 countries, including 11,592,225 screening examinations (8,117,781 film; 3,474,444 digital). There were no differences in tumor size, morphology, grade, node status, receptor status, or stage in the pooled differences for screen-detected and interval invasive cancer tumor characteristics. There were statistically significant increases in screen-detected ductal carcinoma in situ (DCIS) across all grades: 0.05 (0.00-0.11), 0.14 (0.05-0.22), and 0.19 (0.05-0.33) per 1000 screens for low, intermediate, and high-grade DCIS, respectively. There were similar (non-statistically significant) increases in screen-detected invasive cancer across all grades.

CONCLUSION

The increased detection of all grades of DCIS and invasive cancer may indicate both increased early detection of more aggressive disease and increased overdiagnosis.

Breast Cancer Stage and Size Detected with Film versus Digital Mammography in New South Wales, Australia: A Population-Based Study Using Routinely Collected Data

BACKGROUND

Digital mammography has replaced film mammography in breast-screening programs globally, including Australia. This led to an increase in the rate of detection, but whether there was increased detection of clinically important cancers is uncertain.

METHODS

In this population-wide retrospective cohort study in New South Wales, Australia spanning 2004 to 2016 and including 4,631,656 screens, there were 22,965 cancers in women screened with film (n = 11,040) or digital mammography (n = 11,925). We examined the change in tumor characteristics overall and how these rates changed over time, accounting for changes in background rates using an interrupted time-series. Comparisons were made with unscreened women (n = 26,326) during this time.

RESULTS

We found increased detection of in situ cancer (3.36 per 10,000 screens), localized invasive, and smaller-sized breast cancers attributable to the change in mammography technology, whereas screen-detected intermediate-sized and metastatic breast cancers decreased. Rates of early-stage and intermediate-sized interval cancers increased, and late-stage (-1.62 per 10,000 screens) and large interval cancers decreased. In unscreened women, there were small increases in the temporal trends of cancers across all stages.

CONCLUSIONS

At least some of the increased detection of smaller early-stage cancers may have translated into a reduction in larger and late-stage cancers, indicating beneficial detection of cancers that would have otherwise progressed. However, the increased detection of smaller early-stage and small cancers may also have increased over-diagnosis of lesions that would otherwise have not caused harm.

IMPACT

Robust evaluation of potential benefits and harms is needed after changes to screening programs. See related In the Spotlight, p. 638.

Identifying clinicopathological risk factors for regional lymph node metastasis in Chinese patients with T1 breast cancer: a population-based study

Objectives

To analyze clinicopathological risk factors and regular pattern of regional lymph node metastasis (LNM) in Chinese patients with T1 breast cancer and the effect on overall survival (OS) and disease-free survival (DFS).

Materials and methods

Between 1999 and 2020, breast cancer patients meeting inclusion criteria of unilateral, no distant metastatic site, and T1 invasive ductal carcinoma were reviewed. Clinical pathology characteristics were retrieved from medical records. Survival analysis was performed using Kaplan-Meier methods and an adjusted Cox proportional hazards model.

Results

We enrolled 11,407 eligible patients as a discovery cohort to explore risk factors for LNM and 3484 patients with stage T1N0 as a survival analysis cohort to identify the effect of those risk factors on OS and DFS. Compared with patients with N- status, patients with N+ status had a younger age, larger tumor size, higher Ki67 level, higher grade, higher HR+ and HER2+ percentages, and higher luminal B and HER2-positive subtype percentages. Logistic regression indicated that age was a protective factor and tumor size/higher grade/HR+ and HER2+ risk factors for LNM. Compared with limited LNM (N1) patients, extensive LNM (N2/3) patients had larger tumor sizes, higher Ki67 levels, higher grades, higher HR- and HER2+ percentages, and lower luminal A subtype percentages. Logistic regression indicated that HR+ was a protective factor and tumor size/higher grade/HER2+ risk factors for extensive LNM. Kaplan-Meier analysis indicated that grade was a predictor of both OS and DFS; HR was a predictor of OS but not DFS. Multivariate survival analysis using the Cox regression model demonstrated age and Ki67 level to be predictors of OS and grade and HER2 status of DFS in stage T1N0 patients.

Conclusion

In T1 breast cancer patients, there were several differences between N- and N+ patients, limited LNM and extensive LNM patients. Besides, HR+ plays a dual role in regional LNM. In patients without LNM, age and Ki67 level are predictors of OS, and grade and HER2 are predictors of DFS.

The current staging and classification systems of breast cancer and their pitfalls: Is it possible to integrate the complexity of this neoplasm into a unified staging system?

Breast cancer is one of the leading causes of cancer death in women worldwide due to its variable aggressiveness and high propensity to develop distant metastases. The staging can be performed clinically or pathologically, generating the stage stratification by the TNM (T - tumor size; N- lymph node metastasis; M - distant organ metastasis) system. However, cancers with virtually identical TNM characteristics can present highly contrasting behaviors due to the divergence of molecular profiles. This review focuses on the histopathological nuances and molecular understanding of breast cancer through the profiling of gene and protein expression, culminating in improvements promoted by the integration of this information into the traditional staging system. As a culminating point, it will highlight predictive statistical tools for genomic risks and decision algorithms as a possible solution to integrate the various systems because they have the potential to reduce the indications for such tests, serving as a funnel in association with staging and previous classification.

Conditioned haptic perception for 3D localization of nodules in soft tissue palpation with a variable stiffness probe

This paper provides a solution for fast haptic information gain during soft tissue palpation using a Variable Lever Mechanism (VLM) probe. More specifically, we investigate the impact of stiffness variation of the probe to condition likelihood functions of the kinesthetic force and tactile sensors measurements during a palpation task for two sweeping directions. Using knowledge obtained from past probing trials or Finite Element (FE) simulations, we implemented this likelihood conditioning in an autonomous palpation control strategy. Based on a recursive Bayesian inferencing framework, this new control strategy adapts the sweeping direction and the stiffness of the probe to detect abnormal stiff inclusions in soft tissues. This original control strategy for compliant palpation probes shows a sub-millimeter accuracy for the 3D localization of the nodules in a soft tissue phantom as well as a 100% reliability detecting the existence of nodules in a soft phantom.

Expression and prognostic value of HER-2/neu in primary breast cancer with sentinel lymph node metastasis

The present study explores the correlation of human epidermal growth factor receptor-2 (HER-2) protein expression with sentinel lymph node (SLN) metastasis and prognosis of breast cancer. The breast cancer tissues and adjacent tissues were obtained from patients with primary breast cancer. Quantitative real-time polymerase chain reaction (qRT-PCR) was performed to detect the mRNA level of HER-2. Spearman correlation analysis was used to analyze the correlation of HER-2 expression with SLN metastasis. The disease-free survival (DFS) and overall survival (OS) of breast cancer patients were investigated. Univariate and multivariate analyses were performed to explore factors influencing SLN metastasis and prognosis of breast cancer. Compared with adjacent tissues, HER-2 expression was significantly up-regulated in breast cancer tissues. HER-2 expression was correlated with the pathological type, tumor node metastasis (TNM) staging, histological grade, blood vessel invasion, SLN metastasis, estrogen receptor (ER), and progesterone receptor (PR). The expression level of HER-2 was positively related to the SLN metastasis (r=0.548). Median DFS and OS were longer in patients with negative HER-2 expression than in patients with positive HER-2 expression. TNM staging, SLN metastasis, and expression levels of HER-2 and ER were independent factors for DFS of breast cancer patients, while TNM staging, blood vessel invasion, histological grade, SLN metastasis, and expression levels of HER-2 and PR were independent factors for OS of breast cancer patients. Our study suggests that high expression of HER-2 promoted SLN metastasis. HER-2 expression and SLN metastasis were the independent factors for the prognosis of breast cancer.

Overexpression of phosphoprotein phosphatase 2A predicts worse prognosis in patients with breast cancer: a 15-year follow-up

Breast cancer subtypes can be stratified by IHC expression of estrogen receptor, progesterone receptor, and human epidermal growth factor 2 (HER2). The signaling pathways mediated by these receptors are the dominant drivers of cell proliferation and survival in most human breast cancers. One of the most frequently overactivated pathways in breast cancer is the AKT signaling cascade. Protein phosphatase 2A (PP2A) acts as a switch to turn off signal transduction in the AKT pathway; however, it is frequently inactivated in many cancers by phosphorylation of Tyr-307 to form phosphoprotein phosphatase 2A (p-PP2A). This study aimed to investigate the clinical significance of p-PP2A and phospho-AKT (p-AKT) expression in 672 patients with breast cancer during a 15-year follow-up. The breast tissue microarray was evaluated for p-PP2A and p-AKT expression using IHC staining and scores. Analysis of IHC staining results revealed that p-PP2A expression was positively correlated with HER2, Ki-67, and p-AKT overexpression (P<.001, P=.003, and P=.001, respectively). At the time of diagnosis, breast cancer patients with higher p-PP2A expression had significantly shorter 15-year OS than patients with lower p-PP2A expression did (P=.017). Multivariate Cox regression analysis revealed that high p-PP2A expression was an independent prognostic factor for shorter OS (hazard ratio, 1.741; P=.012). Our data revealed that high p-PP2A expression is positively associated with HER2, Ki-67, and p-AKT expression. High p-PP2A expression correlates with poor clinical outcomes in breast cancer, especially in patients with TNBC.

Lymph node ratio as a prognostic factor in patients with pathological N2 non-small cell lung cancer

BACKGROUND

The aim of this study was to investigate whether the lymph node ratio (LNR) was associated with the prognosis of patients, who underwent surgery for pathological N2 non-small cell lung cancer (NSCLC).

METHODS

A total of 182 patients were diagnosed with pathological N2 disease and underwent complete resection surgeries with systematic lymphadenectomies. We counted the number of positives and removed lymph nodes to calculate a ratio between them (LNR). We also investigated the association between skip mediastinal lymph node metastasis and survival.

RESULTS

Univariate analysis of survival in patients with N2 NSCLC showed that the T factor, clinical N factor, and LNR were significant prognostic factors. Multivariate analyses showed that the clinical N stage and LNR were significant independent prognostic factors for patients with pathological N2 NSCLC. Patients with a clinical lymph node status of 0 (cN0) and LNR ≤0.22 showed a significantly higher survival rate than patients with a cN1-2 and LNR ≥0.22 and 5-year survival rates were 47.1 and 10.3%, respectively (p < 0.0001).

CONCLUSIONS

LNR is an important prognostic factor for poor outcome following surgery in patients with N2 disease. The combination of the LNR and cN status provides a valuable prognostic tool.

The tumor-to-breast volume ratio (TBR) predicts cancer-specific survival in breast cancer patients who underwent modified radical mastectomy

Breast cancer is the most common cancer in women globally, and tumor size measured as the largest diameter of the tumor focus is currently used in tumor-lymph node-metastasis (TNM) staging for prognosis and treatment decisions. The present study utilized the tumor-to-breast volume ratio (TBR) to evaluate the relative tumor size and determined the prognostic impact of TBR on survival in patients with breast cancer. Two thousand twenty-five consecutive breast cancer patients who underwent modified radical mastectomy between January 2002 and December 2008 at Sun Yat-Sen University Cancer Center were enrolled in this retrospective study. Kaplan-Meier analysis was used to assess the prognostic effect of TBR on cancer-specific survival (CSS), and univariate log-rank test and multivariate Cox proportional hazards regression model were performed to identify independent prognostic factors. The optimal cutoff value of TBR was determined to be 1.70 %, and 1473 and 552 patients were categorized to low-TBR and high-TBR groups, respectively. In the whole patient cohort, CSS was significantly shorter in the high-TBR group (110.2 vs 128.5 months, P < 0.001). Univariate and multivariate analyses revealed that TBR was an independent prognostic factor of CSS in breast cancer patients (hazard ratio (HR) 1.489, 95 % CI 1.130-1.961, P = 0.005). High TBR was independently associated with poor prognosis in breast cancer patients. This variable may serve as a valuable parameter to predict the outcomes of breast cancer.

Positive correlation between expression level of mitochondrial serine hydroxymethyltransferase and breast cancer grade

Metabolic reprogramming plays an essential role in supporting the survival and proliferation of cancer cells. Serine hydroxymethyltransferase (SHMT) directs serine to the metabolism of one-carbon unit and the synthesis of thymidilate as a key factor in this metabolic shift. Although the mitochondrial isoform of SHMT (SHMT2) has been proven to be a crucial factor in the serine/glycine metabolism in several cancer cell types, the expression pattern of SHMT2 and the correlation of expression level of SHMT2 and other clinicopathological parameters in clinical breast cancer remain to be explored. In this research, 76 breast cancer patients who underwent modified radical mastectomy were enrolled for immunohistochemical analysis of the expression level of SHMT2 in their cancerous breast tissues for comparison with that in matching, distant noncancerous tissues. The results showed that SHMT2 was not expressed in the distant noncancerous cells. In contrast, SHMT2 protein could be stained in all breast cancer samples at varying degrees. Higher level of SHMT2 was expressed in grade III breast cancer cells than that those in grade I–II (P<0.05). In conclusion, SHMT2 was highly expressed in breast cancer cells, and the expression level of SHMT2 was positively correlated with breast cancer grade, suggesting that SHMT2 could be a target for anticancer therapies.

Neogenin expression is inversely associated with breast cancer grade in ex vivo

BACKGROUND

Neogenin is closely related to the human tumor suppressor gene deleted in colorectal cancer and plays a role in mammary morphogenesis. This study aimed to assess neogenin expression in breast cancer for any clinically significant association.

METHODS

A total of 54 breast cancer patients who underwent modified radical mastectomy were enrolled for immunohistochemical and quantitative real-time PCR analysis of neogenin expression in their cancerous breast tissues in comparison to matching distant non-cancerous tissues.

RESULTS

The data showed that the neogenin protein was either strongly or moderately expressed in the cytoplasm of the distant non-cancerous cells. In contrast, neogenin protein was either weakly or not expressed in the cytoplasm of 51/54 (94.4%) breast cancer cells, among which 13 breast cancer cases did not express neogenin protein at all (13/54, 24.1%). Similarly, levels of neogenin mRNA were significantly lower in breast cancer tissues than that of the matched distant non-cancerous tissues (51/54, 94.4%). Neogenin expression was inversely associated with breast cancer grade; that is, grade III breast cancer expressed much less neogenin than grade I-II (P<0.05).

CONCLUSIONS

This study indicates that neogenin expression in breast cancer tissues is inversely associated with tumor grade.

Multicentric and multifocal versus unifocal breast cancer: differences in the expression of E-cadherin suggest differences in tumor biology

Background

The aim of this study was to evaluate the expression of the cell adhesion-related glycoproteins MUC-1, β-catenin and E-cadherin in multicentric/multifocal breast cancer in comparison to unifocal disease in order to identify potential differences in the biology of these tumor types.

Methods

A retrospective analysis was performed on the expression of MUC1, β-catenin and E-cadherin by immunohistochemistry on tumor tissues of a series of 112 breast cancer patients (total collective) treated in Munich between 2000 and 2002. By matched-pair analysis, 46 patients were entered into two comparable groups of 23 patients after categorizing them as having multicentric/multifocal or unifocal breast cancer. Matching criteria were tumor size, histology grade and lymph node status; based on these criteria, patients were distributed equally between the two groups (p = 1.000 each). Data were analyzed with the Kruskal-Wallis and the Mann–Whitney tests.

Results

In the matched groups, we found a significantly down-regulated expression of E-cadherin in multicentric/multifocal breast cancer compared to unifocal disease (p = 0.024). The total collective showed even higher significance with a value of p < 0.0001. In contrast, no significant differences were observed in the expression of β-catenin between multicentric/multifocal and unifocal tumors (p = 0.636 and p = 0.914, respectively). When comparing the expression of MUC1, E-cadherin and β-catenin within the unifocal group, we found a significant positive correlation between E-cadherin and β-catenin (p = 0.003). In the multicentric/multifocal group we observed, in contrast to the unifocal group, a significant decrease of MUC1 expression with increased grading (p = 0.027).

Conclusion

This study demonstrates that multicentric/multifocal and unifocal breast cancers with identical TNM-staging clearly differ in the expression level of E-cadherin. We suggest that the down-regulation of E-cadherin in multicentric/multifocal breast cancer is causally connected with the worse prognosis of this tumor type.

Decision-making tools to assist prognosis and treatment choices in early breast cancer: a review

Breast cancer remains the most common type of cancer affecting women worldwide with an estimated lifetime risk of 1:8. With developments in adjuvant treatment and the identification of breast cancer subtypes, rising expectation of 'personalized' and 'targeted' therapy, decisions on systemic therapy have become increasingly more difficult. In a bid to assist clinicians in correctly selecting patients in whom systemic adjuvant therapy would be of most benefit, a number of decision-making tools have been developed. In this article, the authors will review some of these tools, explore how they were developed and assess the impact they have had on daily clinical practice.

Targeted expression of miR-34a using the T-VISA system suppresses breast cancer cell growth and invasion

Recurrence and metastasis result in a poor prognosis for breast cancer patients. Recent studies have demonstrated that microRNAs (miRNAs) play vital roles in the development and metastasis of breast cancer. In this study, we investigated the therapeutic potential of miR-34a in breast cancer. We found that miR-34a is downregulated in breast cancer cell lines and tissues, compared with normal cell lines and the adjacent nontumor tissues, respectively. To explore the therapeutic potential of miR-34a, we designed a targeted miR-34a expression plasmid (T-VISA-miR-34a) using the T-VISA system, and evaluated its antitumor effects, efficacy, mechanism of action, and systemic toxicity. T-VISA-miR-34a induced robust, persistent expression of miR-34a, and dramatically suppressed breast cancer cell growth, migration, and invasion in vitro by downregulating the protein expression levels of the miR-34a target genes E2F3, CD44, and SIRT1. In an orthotopic mouse model of breast cancer, intravenous injection of T-VISA-miR-34a:liposomal complex nanoparticles significantly inhibited tumor growth, prolonged survival, and did not induce systemic toxicity. In conclusion, T-VISA-miR-34a lead to robust, specific overexpression of miR-34a in breast cancer cells and induced potent antitumor effects in vitro and in vivo. T-VISA-miR-34a may provide a potentially useful, specific, and safe-targeted therapeutic approach for breast cancer.

Value of the metastatic lymph node ratio for predicting the prognosis of non-small-cell lung cancer patients

BACKGROUND

The aim of this study was to investigate the relation between the metastatic lymph node ratio (LNR) and the prognosis of non-small-cell lung cancer (NSCLC).

METHODS

A total of 301 patients with N1 or N2 NSCLC who underwent complete pulmonary resection were analyzed retrospectively. The correlations between the LNR and clinical and pathologic data were analyzed using χ(2) test analysis. The prognostic value of the LNR was calculated by univariate Kaplan-Meier survival analysis and multivariate Cox proportional hazard model analysis. The risk groups were classified by a combination of the LNR and pN stage.

RESULTS

The LNR was correlated with age, smoking status, pathologic type, subcarinal lymph node, clinical staging, N stage (P < 0.05), and the number of positive lymph nodes and positive lymph node stations (P < 0.0001). In the univariate analysis, the LNR played an important role in predicting overall survival (OS) (P < 0.0001) and disease-free survival (P < 0.0001) by Kaplan-Meier survival analysis. In the multivariate analysis, high LNR (>18%) was an independent poor prognostic factor for OS [hazard ratio (HR) 2.5034, 95% confidence interval (CI) 1.6096-3.8933, P < 0.0001] and DFS (HR 1.9023, 95% CI 1.2465-2.9031, P = 0.0031). Stratification into high-, medium-, and low-risk groups-based on high-risk factors (LNR > 18%, N2) intermediate-risk factors (LNR > 18%, N1 or LNR < 18%, N2), and low-risk factors (LNR < 18%, N1)-could efficiently predicted outcomes (P < 0.0001) of patients with lymph node-positive NSCLC.

CONCLUSIONS

The combination of the LNR and pN status provides a valuable help with prognosis. However, these results must be evaluated further in a large prospective randomized clinical trial.

Resistin expression in breast cancer tissue as a marker of prognosis and hormone therapy stratification

OBJECTIVE

Adipocytokines are adipocyte-derived hormones and well documented to be involved in carcinogenesis. The expression of resistin, a newly discovered adipocytokine, in breast cancer tissues was determined and correlated with patient clinicopathological variables.

METHODS

Resistin expression in breast cancer tissues and the normal adjacent breast tissues was analyzed by immunohistochemistry and was correlated with clinicopathological variables as well as recurrence rates by the chi-square test. The prognostic value of resistin for disease-free and overall survival was determined by Kaplan-Meier estimates, and the significance of differences between curves was evaluated by the log-rank test.

RESULTS

High resistin expression was predominantly observed in breast cancer tissues but not the adjacent normal breast tissues. High resistin expression in breast cancer tissues was correlated significantly with tumor stage, tumor size, lymph node metastasis and estrogen receptor status. Hormone therapy, but not radiotherapy or chemotherapy, decreased the recurrence rate in patients with high resistin expression. While high resistin expression was associated with poor disease-free and overall survival, Cox regression analysis also revealed that resistin was an independent predictor of disease-free and overall survival.

CONCLUSIONS

High resistin expression in breast cancer tissue is associated with a more malignant clinicopathological status as well as poor patient survival. Resistin may therefore hold promise as an independent prognosis predictor for breast cancer, as a marker for hormone therapy stratification and as a potential therapeutic target.

The inference of breast cancer metastasis through gene regulatory networks

Understanding the mechanisms of gene regulation during breast cancer is one of the most difficult problems among oncologists because this regulation is likely comprised of complex genetic interactions. Given this complexity, a computational study using the Bayesian network technique has been employed to construct a gene regulatory network from microarray data. Although the Bayesian network has been notified as a prominent method to infer gene regulatory processes, learning the Bayesian network structure is NP hard and computationally intricate. Therefore, we propose a novel inference method based on low-order conditional independence that extends to the case of the Bayesian network to deal with a large number of genes and an insufficient sample size. This method has been evaluated and compared with full-order conditional independence and different prognostic indices on a publicly available breast cancer data set. Our results suggest that the low-order conditional independence method will be able to handle a large number of genes in a small sample size with the least mean square error. In addition, this proposed method performs significantly better than other methods, including the full-order conditional independence and the St. Gallen consensus criteria. The proposed method achieved an area under the ROC curve of 0.79203, whereas the full-order conditional independence and the St. Gallen consensus criteria obtained 0.76438 and 0.73810, respectively. Furthermore, our empirical evaluation using the low-order conditional independence method has demonstrated a promising relationship between six gene regulators and two regulated genes and will be further investigated as potential breast cancer metastasis prognostic markers.

Multiple Patterns of FHIT Gene Homozygous Deletion in Egyptian Breast Cancer Patients

Fragile histidine triad (FHIT) gene encodes a putative tumour suppressor protein. Loss of Fhit protein in cancer is attributed to different genetic alterations that affect the FHIT gene structure. In this study, we investigated the pattern of homozygous deletion that target the FHIT gene exons 3 to 9 genomic structure in Egyptian breast cancer patients. We have found that 65% (40 out of 62) of the cases exhibited homozygous deletion in at least one FHIT exon. The incidence of homozygous deletion was not associated with patients' clinicopathological parameters including patients' age, tumour grade, tumour type, and lymph node involvement. Using correlation analysis, we have observed a strong correlation between homozygous deletions of exon 3 and exon 4 (P < 0.0001). Deletions in exon 5 were positively correlated with deletions in exon 7 (P < 0.0001), Exon 8 (P < 0.027), and exon 9 (P = 0.04). Additionally, a strong correlation was observed between exons 8 and exon 9 (P < 0.0001).We conclude that FHIT gene exons are homozygously deleted at high frequency in Egyptian women population diagnosed with breast cancer. Three different patterns of homozygous deletion were observed in this population indicating different mechanisms of targeting FHIT gene genomic structure.

High visfatin expression in breast cancer tissue is associated with poor survival

BACKGROUND

Adipocytokines, adipocyte-secreted hormones, play a critical role in breast cancer development. The expression of visfatin, a newly discovered adipocytokine, in breast cancer tissues was determined and correlated with patient clinicopathologic variables.

METHODS

Visfatin expression in breast cancer tissues was analyzed by immunohistochemistry. Visfatin expression was correlated with clinicopathologic variables as well as recurrence rates, using the χ(2) test. The prognostic value of visfatin for disease-free and overall survival was evaluated by Kaplan-Meier estimates, and the significance of differences between curves was evaluated by the log-rank test.

RESULTS

High visfatin expression in breast cancer tissues was significantly correlated with tumor size, estrogen receptor (ER) negativity, and progesterone receptor (PR) negativity. Hormone therapy, but not radiotherapy or chemotherapy, decreased the recurrence rate in patients with high visfatin expression. Whereas high visfatin expression alone was associated with poor disease-free and overall survival, worse disease-free and overall survival was observed when high visfatin expression was combined with ER- and PR-negative status. Cox regression analysis also revealed that visfatin is an independent predictor of disease-free and overall survival.

CONCLUSION

High visfatin expression in breast cancer tissue is associated with more malignant cancer behavior as well as poor patient survival.

IMPACT

Visfatin is an independent prognosis predictor for breast cancer.

FHIT gene and flanking region on chromosome 3p are subjected to extensive allelic loss in Egyptian breast cancer patients

The fragile histidine triad gene (FHIT) is a candidate tumor suppressor gene at chromosome 3p14.2. Deletions in FHIT gene were reported in different types of cancer including breast cancer. In this study, we investigated the loss of heterozygosity (LOH) incidence that target FHIT genomic structure and chromosome 3p in cancerous and pre-neoplastic lesions of Egyptian breast patients. Genomic DNA was isolated from tumor tissues and their normal counterparts of 55 Egyptian patients diagnosed with breast cancer and 11 patients diagnosed with preneoplastic breast lesions. LOH was detected in 51% of breast cancer cases in at least one microsatellite marker of the four investigated markers. While, none of the markers showed LOH among the pre-neoplastic breast lesions. We also observed a significant association between LOH and invasive ductal carcinoma (IDC) histopathological type while no association observed between LOH and patients' age, tumor grade, or lymph node involvement. We also investigated FHIT gene expression profiles in breast cancer using Oncomine database. We found that FHIT is significantly reduced in all investigated studies. We conclude that, FHIT is underexpressed in breast cancer tissues compared to their normal counterparts due to the extensive allelic loss that is observed in its gene structure.

Racial/ethnic differences in job loss for women with breast cancer

Introduction

We examined race/ethnic differences in treatment-related job loss and the financial impact of treatment-related job loss, in a population-based sample of women diagnosed with breast cancer.

Methods

Three thousand two hundred fifty two women with non-metastatic breast cancer diagnosed (August 2005–February 2007) within the Los Angeles County and Detroit Metropolitan Surveillance Epidemiology and End Results registries, were identified and asked to complete a survey (mean time from diagnosis = 8.9 months). Latina and African American women were over-sampled (n = 2268, eligible response rate 72.1%).

Results

One thousand one hundred eleven women (69.6%) of working age (<65 years) were working for pay at time of diagnosis. Of these women, 10.4% (24.1% Latina, 10.1% African American, 6.9% White, p < 0.001) reported that they lost or quit their job since diagnosis due to breast cancer or its treatment (defined as job loss). Latina women were more likely to experience job loss compared to White women (OR = 2.0, p = 0.013)), independent of sociodemographic factors. There were no significant differences in job loss between African American and White women, independent of sociodemographic factors. Additional adjustments for clinical and treatment factors revealed a significant interaction between race/ethnicity and chemotherapy (p = 0.007). Among women who received chemotherapy, Latina women were more likely to lose their job compared to White women (OR = 3.2, p < 0.001), however, there were no significant differences between Latina and White women among those who did not receive chemotherapy. Women who lost their job were more likely to experience financial strain (e.g. difficulty paying bills 27% vs. 11%, p < 0.001).

Conclusion

Job loss is a serious consequence of treatment for women with breast cancer. Clinicians and staff need to be aware of aspects of treatment course that place women at higher risk for job loss, especially ethnic minorities receiving chemotherapy.

Multicentric and multifocal versus unifocal breast cancer: is the tumor-node-metastasis classification justified?

For classification of breast cancer (BC), tumor-node-metastasis (TNM) staging has been considered state of the art for more than 50 years. The T category is well defined, and in multicentric and multifocal tumors, tumor size is assessed by the largest tumor focus. The aim of this study was to compare multicentric/multifocal tumor spread in breast cancer with unifocal disease and to evaluate the diagnostic relevance of multifocality. A retrospective analysis was performed on survival related events in a series of 5,691 breast cancer patients between 1963 and 2007. By matched-pair analysis, patients were entered into two comparable groups of 288 patients after categorizing them as having multifocal/multicentric or unifocal breast cancers. Matching criteria were tumor size, grading, and hormone receptor status, which were equally distributed between both groups (P = 1.000 each). Disease free survival and the occurrence of relapse or of metastatic disease were evaluated. Cox's regression analysis was used for multivariate analysis. In the unifocal group, the mean breast cancer-specific survival time was 221.6 months as opposed to 203.3 months in the multicentric/multifocal group (P < 0.001, log-rank test). The occurrence of local relapse and distant metastasis was significantly increased in the multifocal group in comparison to the unifocal equivalent group (P < 0.001 and P < 0.003, respectively). Cox regression analysis for multivariate analyses demonstrated focality and centricity to be highly significant predictors for reduced overall survival (P = 0.016), local relapse (P = 0.001) and distant metastasis (P = 0.038). Tumor size, histopathological grading, hormone receptor status, and staging of lymph nodes are well-established prognostic parameters. Additionally, the number of foci should be considered as an independent prognostic parameter, which is currently not reflected in the TNM classification. We conclude that multicentric/multifocal BC is an independent BC risk factor and should be included in the risk assessment by re-evaluating the current TNM classification of the UICC.

Nuclear expression of KLF6 tumor suppressor factor is highly associated with overexpression of ERBB2 oncoprotein in ductal breast carcinomas

Background

Krüppel-like factor 6 (KLF6) is an evolutionarily conserved and ubiquitously expressed protein that belongs to the mammalian Sp1/KLF family of transcriptional regulators. Though KLF6 is a transcription factor and harbors a nuclear localization signal it is not systematically located in the nucleus but it was detected in the cytoplasm of several tissues and cell lines. Hence, it is still not fully settled whether the tumor suppressor function of KLF6 is directly associated with its ability to regulate target genes.

Methodology/Principal Findings

In this study we analyzed KLF6 expression and sub-cellular distribution by immunohistochemistry in several normal and tumor tissues in a microarray format representing fifteen human organs. Results indicate that while both nuclear and cytoplasmic distribution of KLF6 is detected in normal breast tissues, breast carcinomas express KLF6 mainly detected in the cytoplasm. Expression of KLF6 was further analyzed in breast cancer tissues overexpressing ERBB2 oncoprotein, which is associated with poor disease prognosis and patient's survival. The analysis of 48 ductal carcinomas revealed a significant population expressing KLF6 predominantly in the nuclear compartment (X²p = 0.005; Fisher p = 0.003). Moreover, this expression pattern correlates directly with early stage and small ductal breast tumors and linked to metastatic events in lymph nodes.

Conclusions/Significance

Data are consistent with a preferential localization of KLF6 in the nuclear compartment of early stage and small HER2-ERBB2 overexpressing ductal breast tumor cells, also presenting lymph node metastatic events. Thus, KLF6 tumor suppressor could represent a new molecular marker candidate for tumor prognosis and/or a potential target for therapy strategies.

Evolution of breast cancer management in Ireland: a decade of change

BACKGROUND

Over the last decade there has been a paradigm shift in the management of breast cancer, subsequent to revised surgical oncology guidelines and consensus statements which were derived in light of landmark breast cancer clinical trials conducted throughout the latter part of the 20th century. However the sheer impact of this paradigm shift upon all modalities of treatment, and the current trends in management of the disease, are largely unknown. We aimed to assess the changing practices of breast cancer management over the last decade within a specialist tertiary referral Breast Cancer Centre.

METHODS

Comparative analysis of all aspects of the management of breast cancer patients, who presented to a tertiary referral Breast Cancer Centre in 1995/1996 and 2005/2006, was undertaken and measured against The European Society for Surgical Oncology guidelines for the surgical management of mammographically detected lesions [1998].

RESULTS

613 patients' case profiles were analysed. Over the last decade we observed a dramatic increase in incidence of breast cancer [>100%], a move to less invasive diagnostic and surgical therapeutic techniques, as well as increased use of adjuvant therapies. We also witnessed the introduction of immediate breast reconstruction as part of routine practice

CONCLUSION

We demonstrate that radical changes have occurred in the management of breast cancer in the last decade, in keeping with international guidelines. It remains incumbent upon us to continue to adapt our practice patterns in light of emerging knowledge and best evidence.

The impact of sociodemographic, treatment, and work support on missed work after breast cancer diagnosis

Work loss is a potential adverse consequence of cancer. There is limited research on patterns and correlates of paid work after diagnosis of breast cancer, especially among ethnic minorities. Women with non-metastatic breast cancer diagnosed from June 2005 to May 2006 who reported to the Los Angeles County SEER registry were identified and asked to complete the survey after initial treatment (median time from diagnosis = 8.9 months). Latina and African American women were over-sampled. Analyses were restricted to women working at the time of diagnosis, <65 years of age, and who had complete covariate information (N = 589). The outcome of the study was missed paid work (<or=1 month, >1 month, stopped all together). Approximately 44, 24, and 32% of women missed <or=1 month, >1 month, or stopped working, respectively. African Americans and Latinas were more likely to stop working when compared with Whites [OR for stop working vs. missed <or=1 month: 3.0, 3.4, (P < 0.001), respectively]. Women receiving mastectomy and those receiving chemotherapy were also more likely to stop working, independent of sociodemographic and treatment factors [ORs for stopped working vs. missed <or=1 month: 4.2, P < 0.001; 7.9, P < 0.001, respectively]. Not having a flexible work schedule available through work was detrimental to working [ORs for stopped working 18.9, P < 0.001 after adjusting for sociodemographic and treatment factors]. Many women stop working altogether after a diagnosis of breast cancer, particularly if they are racial/ethnic minorities, receive chemotherapy, or those who are employed in an unsupportive work settings. Health care providers need to be aware of these adverse consequences of breast cancer diagnosis and initial treatment.

A comparison of clinicopathological features and molecular markers in british and nigerian women with breast cancer

Background

Some studies have suggested that breast cancer in black women is more aggressive than in white women. This study’s aim was to look for evidence of differences in tumour biology between the two cohorts.

Methods

This study compared the stage, grade and pathological expression of five immunohistochemical markers (oestrogen receptor [ER], progesterone receptor [PR], ERBB2, P53 and cyclin D1 [CCND1]) in tumour biopsies from age-matched cohorts of patients from Nigeria and England. Sixty-eight suitable samples from Nigerian (n = 34) and British (n = 34) breast cancer patients were retrieved from histology tissue banks.

Results

There were significant differences between the two cohorts in the expression of ER and CCND1; and stark differences in the clinical stage at presentation. But no significant differences were observed for tumour grade.

Conclusion

There was a significantly, low ER expression in the Nigerian cases which also predicts a poor response to hormonal therapy as well as a poorer prognosis. Differences in clinical stage at presentation will most likely influence prognosis between Nigerian and British women with breast cancer.

T4 breast cancer under closer inspection: A case for revision of the TNM classification

The presence of skin involvement in breast cancer results in the classification of the tumor into the highest tumor category, and accordingly into the highest non-metastatic disease stage (current TNM classification: T4/stage III). This traditional view is no longer justifiable, as tumors that show non-inflammatory skin involvement (T4b) make up a considerably heterogeneous group with a high percentage of small-sized tumors. Classifying all lesions demonstrating this feature together results in the combination of tumors with widely differing prognostic and therapeutic implications into a single group. This violates the basic principle of the TNM concept in that only tumors exhibiting similar extension and prognosis should be grouped into one category/stage. Furthermore, the currently valid definitions of non-inflammatory skin involvement are misconceived for the substantial group of small tumors which often have ambiguous morphologic findings: the clinical classification depends on the subjective perception of the individual observer, and the pathologic staging considers histologic criteria that are not justifiable from a functional-morphological point of view. For these reasons, we strongly feel that there is a need to revise the current T4 category. We recommend that breast carcinomas currently classified as T4a-c should be eliminated from the T4 category and classified simply according to their tumor size (T1-3). The prognostically very unfavorable inflammatory carcinoma (T4d) should be maintained as the only clinicopathologic entity in the T4 category. This proposal, which will also lead to a revision of the stage III group, adheres more closely to the goals and principles of the TNM classification than do the current classification guidelines. Through the revision of the T4 category, the definitions and guidelines of inflammatory breast carcinoma should be adapted to the internationally accepted nomenclature.

Is obesity an independent prognosis factor in woman breast cancer?

BACKGROUND

Breast cancer and obesity represent important public health issues in most western countries. A number of studies found a negative prognosis effect of obesity or excess of weight in woman breast cancer. However, to date, this issue remains controversial. The objectives of this study were to confirm the prognosis role of obesity on a large cohort of patients and to investigate a potential independent effect.

MATERIALS AND METHODS

We constituted a cohort of 14,709 patients who were recruited and treated at the Curie Institute (Paris) from 1981 to 1999. These patients were followed prospectively for a first unilateral invasive breast cancer without distant metastasis. Obesity was defined by a Body Mass Index (BMI) above 30 kg/m(2) according to the World Health Organization recommendations.

RESULTS

Obese patients (8%) presented more extended tumors at diagnosis time suggesting a delayed breast cancer diagnosis. However, obesity appeared as a negative prognosis factor for several events in respectively univariate and multivariate survival analysis: metastasis recurrence (HR = 1.32[1.19-1.48]; HR = 1.12[1.00-1.26]), disease free interval (1.20[1.08-1.32]; 1.10[0.99-1.22]), overall survival (1.43[1.28-1.60]; 1.12[0.99-1.25]) and second primary cancer outcome (1.57[1.19-2.07]; 1.43[1.09-1.89]). Even if obese patients presented more advanced tumors at diagnosis time, multivariate analysis showed that there was a relevant independent effect. Other BMI codings, distinguishing overweight patients or using BMI as a continuous variable, showed a consistent correlation between BMI's value and prognosis effect. Interaction analysis revealed a more important obesity effect in the presence of tumor estrogen receptors and among limited extent tumors.

CONCLUSIONS

This survey confirms the prognosis role of obesity on one of the largest cohort by investigating several prognosis events. While independent obesity effect linked to hormonal disorders appeared consistent as obesity's mechanism, we stress that obesity prognosis effect was also related to breast cancer presentation at diagnosis time.

The influence of race, ethnicity, and individual socioeconomic factors on breast cancer stage at diagnosis

OBJECTIVES

Previous research has generally found that racial/ethnic differences in breast cancer stage at diagnosis attenuate when measures of socioeconomic status are included in the analysis, although most previous research measured socioeconomic status at the contextual level. This study investigated the relation between race/ethnicity, individual socioeconomic status, and breast cancer stage at diagnosis.

METHODS

Women with stage 0 to III breast cancer were identified from population-based data from the Surveillance, Epidemiology, and End Results tumor registries in the Detroit and Los Angeles metropolitan areas. These data were combined with data from a mailed survey in a sample of White, Black, and Hispanic women (n=1700). Logistic regression identified factors associated with early-stage diagnosis.

RESULTS

Black and Hispanic women were less likely to be diagnosed with early-stage breast cancer than were White women (P< .001). After control for study site, age, and individual socioeconomic factors, the odds of early detection were still significantly less for Hispanic women (odds ratio [OR]=0.45) and Black women (OR = 0.72) than for White women. After control for the method of disease detection, the White/Black disparity attenuated to insignificance; the decreased likelihood of early detection among Hispanic women remained significant (OR=0.59).

CONCLUSION

The way in which racial/ethnic minority status and socioeconomic characteristics produce disparities in women's experiences with breast cancer deserves further research and policy attention.

Expanding the protein catalogue in the proteome reference map of human breast cancer cells

In this report we present a catalogue of 162 proteins (including isoforms and variants) identified in a prototype of proteomic map of breast cancer cells. This work represents the prosecution of previous studies describing the protein complement of breast cancer cells of the line 8701-BC, which has been well characterized for several parameters, providing to be a useful model for the study of breast cancer-associated candidate biomarkers. In particular, 110 spots were identified ex novo by PMF, or validated following previous gel matching identification method; 30 were identified by N-terminal microsequencing and the remaining by gel matching with maps available from our former work. As a consequence of the expanded number of proteins, we have updated our previous classification extending the number of protein groups from 4 to 13. In order to facilitate comparative proteome studies of different kinds of breast cancers, in this report we provide the whole complement of proteins so far identified and grouped into the new classification. A consistent number of them were not described before in other proteomic maps of breast cancer cells or tissues, and therefore they represent a valuable contribution for breast cancer protein databases and for future application in basic and clinical researches.

Retracted Article: Prognostic Factors in Breast Cancer: The Value of the Nottingham Prognostic Index for Patients Treated in a Single Institution

PURPOSE

The Nottingham Prognostic Index (NPI) is used to predict survival in patients with breast cancer. This index is based on tumor size, lymph node stage, and histological grade and allows the stratification of patients into three different prognostic groups. Our aim was to verify the effect of some prognostic variables on survival and to establish the independent influence of each of these variables by a survival regression analysis. We applied the NPI to the same group of patients to assess its predictive power and reproducibility.

METHODS

We evaluated 311 women with breast cancer treated between January 1993 and December 1998.

RESULTS

In a multivariate analysis (Cox proportional hazard model), only size, lymph node involvement, and histological grade were independent prognostic factors. The survival curves obtained after applying the NPI were similar to those for the factors with independent prognostic significance derived from our multivariate analysis.

CONCLUSION

The NPI allows us to accurately predict prognosis, and we advocate its standardized use.

PED Mediates AKT-Dependent Chemoresistance in Human Breast Cancer Cells

Killing of tumor cells by cytotoxic therapies, such as chemotherapy or gamma-irradiation, is predominantly mediated by the activation of apoptotic pathways. Refractoriness to anticancer therapy is often due to a failure in the apoptotic pathway. The mechanisms that control the balance between survival and cell death in cancer cells are still largely unknown. Tumor cells have been shown to evade death signals through an increase in the expression of antiapoptotic molecules or loss of proapoptotic factors. We aimed to study the involvement of PED, a molecule with a broad antiapoptotic action, in human breast cancer cell resistance to chemotherapeutic drugs-induced cell death. We show that human breast cancer cells express high levels of PED and that AKT activity regulates PED protein levels. Interestingly, exogenous expression of a dominant-negative AKT cDNA or of PED antisense in human breast cancer cells induced a significant down-regulation of PED and sensitized cells to chemotherapy-induced cell death. Thus, AKT-dependent increase of PED expression levels represents a key molecular mechanism for chemoresistance in breast cancer.

Sentinel node biopsy is not sensible in breast cancer patients with large primary tumours

AIMS

We aimed to evaluate the outcome of sentinel node biopsy (SNB) in breast cancer patients with large primary tumours.

METHODS

Nine hundred and eighty-four patients with invasive breast cancer and SNB were studied. The histological tumour size was larger than 3 cm in 70 patients. The advantages of SNB like avoiding axillary clearance (AC) or more accurate staging by detecting micrometastases or parasternal sentinel node metastases were evaluated in relation to the tumour size.

RESULTS

Axillary metastases were detected in 351/914 patients with a tumour size of 3 cm or smaller and in 50/70 patients with larger tumours (p<<0.0001). Micrometastases or isolated tumour cells only, were observed in 134/351 node positive patients with tumours not larger than 3 cm and in 10/50 cases with larger tumours (p=0.022). Parasternal sentinel node metastases were detected in 17/914 patients with a tumour size of 3 cm or smaller and 2/70 patients with larger tumours (p=ns). AC was omitted because of tumour negative sentinel node findings 168 of the 232 patients with stage T1 a-b tumours and 281 of those 489 with T1c tumours. Twenty of the 70 patients with tumours larger than 3 cm avoided AC.

CONCLUSIONS

SNB is not sensible in breast cancer patients with tumours larger than 3 cm, because of the small proportion avoiding AC after SNB.

Accuracy of axillary staging using sentinel node biopsy or diagnostic axillary lymph node dissection - a case-control study

We aimed to compare the accuracy of axillary staging in breast cancer between sentinel node biopsy (SNB) and axillary lymph node dissection (ALND). The prevalence of axillary metastases was studied in 166 breast cancer patients with SNB and pair-matched control patients with ALND. The matching factors included age of the patient and grade, histological type and histological size of the tumour. There were 37% of patients with axillary metastases in the SNB group and 31% in the ALND group. Altogether, 57 pairs were discordant in relation to axillary metastases. In 34 discordant pairs the SNB patient and in 23 the ALND patient had axillary metastases, p=ns. Among the 36 discordant pairs with invasive ductal carcinoma (IDC), axillary metastases were detected as often in the SNB and the ALND patients. In the 21 discordant pairs with other histological types, the SNB patient had axillary metastases in 16 pairs and the ALND patient in 5 pairs, p<0.03. SNB seems to be as accurate a method for axillary staging as ALND. However, SNB generated no upstaging effect in IDC, only in other histological tumour types.