Predictive factors for conversion to laparotomy in women undergoing laparoscopic hysterectomy. A re-evaluation of clinicopathological factors in the era of minimally invasive gynaecology.

Background: Abdominal hysterectomy has been largely replaced by minimally invasive surgery. Nevertheless, in some situations, a minimally invasive intervention must be converted to laparotomy. Factors associated with conversion to laparotomy are still a matter of debate. Objective: The aim of this study was to evaluate the clinicopathological factors associated with the conversion of laparoscopic hysterectomy to laparotomy. Materials and Methods: The risk factors for conversion of a preplanned laparoscopic procedure to laparotomy were retrospectively evaluated in 441 patients undergoing a hysterectomy for a benign indication between 2016 and 2020. Associations between the clinical factors were analysed using Pearson's chi-square and Fisher's exact test, and predictive values for conversion were assessed through multivariate logistic regression. Result: Conversion occurred in 32 (7.3%) of the cases. Significant differences were detected for uterus weight (576.9gr vs 174.6gr, p<0.001), myoma size (7.0 cm vs. 1.8 cm, p<0.001), and presence of triple diagnosis consisting of leiomyoma, adenomyosis uteri, and pathological adnexal findings (p<0.013). The conversion resulted in prolonged surgery time (181.6 min vs. 119.6 min, p<0.001) and hospital stay (4.0 vs. 3.1 days, p<0.001), as well as an increased rate of wound infection (15.6% vs. 3.4%, p<0.001). A 10g increase in uterus weight raised the risk of conversion by 7.0%, and a 1cm increase in myoma diameter by 7.3%, while adnexal pathologies and extensive adhesions increased the odds of conversion to laparotomy threefold (ORs of 3.2, 1.09-9.6 and 3.6, 1.3-10.0, respectively). Conclusion: Uterus weight, myoma size, the coexistence of pathological adnexal findings, and non-physiological adhesions are independent risk factors for conversion. What is new?: This study provides data regarding the risk and factors increasing this risk for conversion to laparotomy during laparoscopic hysterectomy.

Association of RAD51 with homologous recombination deficiency (HRD) and clinical outcomes in untreated triple-negative breast cancer (TNBC): analysis of the GeparSixto randomized clinical trial.

BACKGROUND: Current genetic and genomic tests measuring homologous recombination deficiency (HRD) show limited predictive value. This study compares the performance of an immunohistology-based RAD51 test with genetic/genomic tests to identify patients with HRD primary triple-negative breast cancer (TNBC) and evaluates its accuracy to select patients sensitive to platinum-based neoadjuvant chemotherapy (NACT). PATIENTS AND METHODS: This is a retrospective, blinded, biomarker analysis from the GeparSixto randomized clinical trial. TNBC patients received neoadjuvant paclitaxel plus Myocet®-nonpegylated liposomal doxorubicin (PM) or PM plus carboplatin (PMCb), both arms including bevacizumab. Formalin-fixed paraffin-embedded (FFPE) tumor samples were laid on tissue microarrays. RAD51, BRCA1 and γH2AX were quantified using an immunofluorescence assay. The predictive value of RAD51 was assessed by regression models. Concordance analyses were carried out between RAD51 score and tumor BRCA (tBRCA) status or genomic HRD score (Myriad myChoice®). Associations with pathological complete response (pCR) and survival were studied. Functional HRD was predefined as a RAD51 score ≤10% (RAD51-low). RESULTS: Functional HRD by RAD51-low was evidenced in 81/133 tumors (61%). RAD51 identified 93% tBRCA-mutated tumors and 45% non-tBRCA mutant cases as functional HRD. The concordance between RAD51 and genomic HRD was 87% [95% confidence interval (CI) 79% to 93%]. In patients with RAD51-high tumors, pCR was similar between treatment arms [PMCb 31% versus PM 39%, odds ratio (OR) 0.71, 0.23-2.24, P = 0.56]. Patients with RAD51-low tumors benefited from PMCb (pCR 66% versus 33%, OR 3.96, 1.56-10.05, P = 0.004; interaction test P = 0.02). This benefit maintained statistical significance in the multivariate analysis. Carboplatin addition showed similar disease-free survival in the RAD51-high [hazard ratio (HR) 0.40, log-rank P = 0.11] and RAD51-low (0.45, P = 0.11) groups. CONCLUSIONS: The RAD51 test identifies tumors with functional HRD and is highly concordant with tBRCA mutation and genomic HRD. RAD51 independently predicts clinical benefit from adding Cb to NACT in TNBC. Our results support further development to incorporate RAD51 testing in clinical decision-making.

Sphingosine-kinase-1 expression is associated with improved overall survival in high-grade serous ovarian cancer.

PURPOSE: Sphingosine-kinase-1 (SPHK1) is a key enzyme of sphingolipid metabolism which is involved in ovarian cancer pathogenesis, progression and mechanisms of drug resistance. It is overexpressed in a variety of cancer subtypes. We investigated SPHK1 expression as a prognostic factor in epithelial ovarian cancer patients. METHODS: Expression analysis of SPHK1 was performed on formalin-fixed paraffin-embedded tissue from 1005 ovarian cancer patients with different histological subtypes using immunohistochemistry. Staining intensity of positive tumor cells was assessed semi-quantitatively, and results were correlated with clinicopathological characteristics and survival. RESULTS: In our ovarian cancer collective, high levels of SPHK1 expression correlated significantly with complete surgical tumor resection (p = 0.002) and lower FIGO stage (p = 0.04). Progression-free and overall survival were further significantly longer in patients with high-grade serous ovarian cancer and overexpression of SPHK1 (p = 0.002 and p = 0.006, respectively). CONCLUSION: Our data identify high levels of SPHK1 expression as a potential favorable prognostic marker in ovarian cancer patients.

Reconstructing tumor history in breast cancer: signatures of mutational processes and response to neoadjuvant chemotherapy⋆.

BACKGROUND: Different endogenous and exogenous mutational processes act over the evolutionary history of a malignant tumor, driven by abnormal DNA editing, mutagens or age-related DNA alterations, among others, to generate the specific mutational landscape of each individual tumor. The signatures of these mutational processes can be identified in large genomic datasets. We investigated the hypothesis that genomic patterns of mutational signatures are associated with the clinical behavior of breast cancer, in particular chemotherapy response and survival, with a particular focus on therapy-resistant disease. PATIENTS AND METHODS: Whole exome sequencing was carried out in 405 pretherapeutic samples from the prospective neoadjuvant multicenter GeparSepto study. We analyzed 11 mutational signatures including biological processes such as APOBEC-mutagenesis, homologous recombination deficiency (HRD), mismatch repair deficiency and also age-related or tobacco-induced alterations. RESULTS: Different subgroups of breast carcinomas were defined mainly by differences in HRD-related and APOBEC-related mutational signatures and significant differences between hormone-receptor (HR)-negative and HR-positive tumors as well as correlations with age, Ki-67 and immunological parameters were observed. We could identify mutational processes that were linked to increased pathological complete response rates to neoadjuvant chemotherapy with high significance. In univariate analyses for HR-positive tumors signatures, S3 (HRD, P < 0.001) and S13 (APOBEC, P = 0.001) as well as exonic mutation rate (P = 0.002) were significantly correlated with increased pathological complete response rates. The signatures S3 (HRD, P = 0.006) and S4 (tobacco, P = 0.011) were prognostic for reduced disease-free survival of patients with chemotherapy-resistant tumors. CONCLUSION: The results of this investigation suggest that the clinical behavior of a tumor, in particular, response to neoadjuvant chemotherapy and disease-free survival of therapy-resistant tumors, could be predicted by the composition of mutational signatures as an indicator of the individual genomic history of a tumor. After additional validations, mutational signatures might be used to identify tumors with an increased response rate to neoadjuvant chemotherapy and to define therapy-resistant subgroups for future therapeutic interventions.

Tumor mutational burden and immune infiltration as independent predictors of response to neoadjuvant immune checkpoint inhibition in early TNBC in GeparNuevo.

BACKGROUND: The predictive value of tumor mutational burden (TMB), alone or in combination with an immune gene expression profile (GEP), for response to neoadjuvant therapy in early triple negative breast cancer (TNBC) is currently not known, either for immune checkpoint blockade (ICB) or conventional chemotherapy. PATIENTS AND METHODS: We obtained both whole exome sequencing and RNA-Seq data from pretreatment samples of 149 TNBC of the recent neoadjuvant ICB trial, GeparNuevo. In a predefined analysis, we assessed the predictive value of TMB and a previously developed immune GEP for pathological complete remission (pCR). RESULTS: Median TMB was 1.52 mut/Mb (range 0.02-7.65) and was significantly higher in patients with pCR (median 1.87 versus 1.39; P = 0.005). In multivariate analysis, odds ratios for pCR per mut/Mb were 2.06 [95% confidence intervals (CI) 1.33-3.20, P = 0.001] among all patients, 1.77 (95% CI 1.00-3.13, P = 0.049) in the durvalumab treatment arm, and 2.82 (95% CI 1.21-6.54, P = 0.016) in the placebo treatment arm, respectively. We also found that both continuous TMB and immune GEP (or tumor infiltrating lymphocytes) independently predicted pCR. When we stratified patients in groups based on the upper tertile of TMB and median GEP, we observed a pCR rate of 82% (95% CI 60% to 95%) in the group with both high TMB and GEP in contrast to only 28% (95% CI 16% to 43%) in the group with both low TMB and GEP. CONCLUSIONS: TMB and immune GEP add independent value for pCR prediction. Our results recommend further analysis of TMB in combination with immune parameters to individually tailor therapies in breast cancer.

BRCA1-like profile is not significantly associated with survival benefit of non-myeloablative intensified chemotherapy in the GAIN randomized controlled trial.

PURPOSE: The BRCA1-like profile identifies tumors with a defect in homologous recombination due to inactivation of BRCA1. This profile has been shown to predict which stage III breast cancer patients benefit from myeloablative, DNA double-strand-break-inducing chemotherapy. We tested the predictive potential of the BRCA1-like profile for adjuvant non-myeloablative, intensified dose-dense chemotherapy in the GAIN trial. METHODS: Lymph node positive breast cancer patients were randomized to 3 × 3 dose-dense cycles of intensified epirubicin, paclitaxel, and cyclophosphamide (ETC) or 4 cycles concurrent epirubicin and cyclophosphamide followed by 10 cycles of weekly paclitaxel combined with 4 cycles capecitabine (EC-TX). Only triple negative breast cancer patients (TNBC) for whom tissue was available were included in these planned analyses. BRCA1-like or non-BRCA1-like copy number profiles were derived from low coverage sequencing data. RESULTS: 119 out of 163 TNBC patients (73%) had a BRCA1-like profile. After median follow-up of 83 months, disease free survival (DFS) was not significantly different between BRCA1-like and non-BRCA1-like patients [adjusted hazard ratio (adj.HR) 1.02; 95% confidence interval (CI) 0.55-1.86], neither was overall survival (OS; adj.HR 1.26; 95% CI 0.58-2.71). When split by BRCA1-like status, DFS and OS were not significantly different between treatments. However, EC-TX seemed to result in a trend to an improvement in DFS in patients with a BRCA1-like tumor, while the reverse accounted for ETC treatment in patients with a non-BRCA1-like tumor (p for interaction = 0.094). CONCLUSIONS: The BRCA1-like profile is not associated with survival benefit for a non-myeloablative, intensified regimen in this study population. Considering the limited cohort size, capecitabine might have additional benefit for TNBC patients.

Expression of secreted protein acidic and rich in cysteine (SPARC) in breast cancer and response to neoadjuvant chemotherapy.

BACKGROUND: Secreted protein acidic and rich in cysteine (SPARC) has been suggested as a new biomarker and therapeutic target in breast cancer, as well as other tumor types. PATIENTS AND METHODS: We evaluated the frequency of SPARC expression among different molecular breast cancer subtypes and its role for therapy response after neoadjuvant chemotherapy. In this study, pretherapeutic core biopsies of 667 patients from the neoadjuvant GeparTrio trial were evaluated for SPARC expression by immunohistochemistry using a standardized immunoreactive score (IRS). RESULTS: An increased SPARC expression (IRS ≥6) was observed in 26% of all tumors. In triple-negative tumors, SPARC expression was increased in 37% of tumors, compared with other molecular subtypes (23% HR+/HER2-, 29% HR+/HER2+ and 22% HR-/HER2+; P = 0.038). Increased SPARC expression was associated with an increased pathological complete response (pCR) rate of 27%, compared with 15% in tumors with low SPARC expression (P < 0.001). In the triple-negative subgroup, pCR rates were 47% in tumors with high SPARC expression, compared with 26% in tumors with low SPARC expression (P = 0.032). In multivariable analysis, SPARC was independently predictive in the overall population (P = 0.010) as well as the triple-negative subgroup (P = 0.036). CONCLUSIONS: SPARC is frequently expressed in breast cancer with triple-negative breast cancer revealing the highest expression rate. High SPARC expression of the primary tumor is associated with a higher chance of achieving a pathological complete remission after TAC or TAC-NX chemotherapy. As SPARC is an albumin-binding protein and might mediate intratumoral accumulation of albumin bound drugs, SPARC should be further evaluated as a predictive marker especially for response to albumin-bound drugs like nab-paclitaxel. CLINICAL TRIAL NUMBER: NCT00544765.

Molecular Markers as Prognostic Factors in DCIS and Small Invasive Breast Cancers.

Ductal carcinoma in situ (DCIS) accounts for up to half of screen-detected breast cancers and thus constitutes a major public health problem. Despite effective current treatment many patients with DCIS are either over- or undertreated because of the paucity of precise models to predict recurrence or progression. The combination of clinical and molecular factors as already applied for invasive disease may help to build such models also for DCIS. We compared 53 DCIS (36.6 %) and 92 (63.4 %) invasive breast cancer cases and found no significant differences in age, receptor status of ER, PR, and HER2, and the use of radiotherapy. Interestingly, the proportion of disseminated tumor cells (DTC) did also not significantly differ between DCIS and invasive cases (p = 0.57). A negative PR status was associated with the detection of DTCs (p = 0.026). We then compared relationships of clinical parameters and biomarkers with patients' prognosis in 43 DCIS and 40 small invasive tumors ≤ 5 mm (T1a). ER negativity was associated with shorter relapse free survival in the complete cohort (p = 0.004) and showed a trend in both subgroups (p = 0.053 for DCIS and p = 0.046 for T1a, respectively). In conclusion, we found markedly similar properties of both DCIS and small invasive breast cancers with respect to the distribution of several parameters as well as to the prognostic value of biomarkers. DCIS with a luminal phenotype seem to be characterized by a favourable prognosis.

The prognostic impact of age in patients with triple-negative breast cancer.

The purpose of this study was to assess the prognostic impact of age in patients with triple-negative breast cancer (TNBC). 1,732 patients with primary TNBC were analyzed. Five age cohorts (≤30, 31-40, 41-50, 51-60, and >60 years) at diagnosis were correlated with clinical/pathological parameters. Univariate and multivariate analyses were used to examine the effect of age on disease-free (DFS), distant disease-free (DDFS), and overall survival (OS). In patients with TNBC, increasing age at diagnosis was inversely correlated with tumor grade (P < 0.0001); likelihood of being non-Caucasian (P = 0.0001); likelihood of getting chemotherapy (P < 0.0001); and positively correlated with DFS (P = 0.0003); DDFS (P < 0.0001); and OS (P < 0.0001). The median DFS for patients 31-40 and older than 60 years was 4 years [95 % confidence interval (95 % CI) 2-5] and 8 years (95 % CI 5-14, respectively, P = 0.0003). The DDFS and OS were also statistically significantly shorter for younger patients. In multivariate analysis, tumor size, nodal stage, tumor grade, and age remained significant independent prognostic variables. Clinical characteristics of TNBC differ by age group, patients ≤40 years have poorer survival despite more aggressive systemic therapy.

Thymosin beta 15A (TMSB15A) is a predictor of chemotherapy response in triple-negative breast cancer.

BACKGROUND: Biomarkers predictive of pathological complete response (pCR) to neoadjuvant chemotherapy (NACT) of breast cancer are urgently needed. METHODS: Using a training/validation approach for detection of predictive biomarkers in HER2-negative breast cancer, pre-therapeutic core biopsies from four independent cohorts were investigated: Gene array data were analysed in fresh frozen samples of two cohorts (n=86 and n=55). Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was performed in formalin-fixed, paraffin-embedded (FFPE) samples from two neoadjuvant phase III trials (GeparTrio, n=212, and GeparQuattro, n=383). RESULTS: A strong predictive capacity of thymosin beta 15 (TMSB15A) gene expression was evident in both fresh frozen cohorts (P<0.0001; P<0.0042). In the GeparTrio FFPE training cohort, a significant linear correlation between TMSB15A expression and pCR was apparent in triple-negative breast cancer (TNBC) (n=61, P=0.040). A cutoff point was then defined that divided TNBC into a low and a high expression group (pCR rate 16.0% vs 47.2%). Both linear correlation of TMSB15A mRNA levels (P=0.017) and the pre-defined cutoff point were validated in 134 TNBC from GeparQuattro (pCR rate 36.8% vs 17.0%, P=0.020). No significant predictive capacity was observed in luminal carcinomas from GeparTrio and GeparQuattro. CONCLUSION: In TNBC, TMSB15A gene expression analysis might help to select patients with a high chance for pCR after NACT.

Predictive value of HER2 serum levels in patients treated with lapatinib or trastuzumab -- a translational project in the neoadjuvant GeparQuinto trial.

BACKGROUND: We were able to demonstrate a predictive value of serum HER2 (sHER2) in patients receiving trastuzumab in the neoadjuvant GeparQuattro trial. However, the role of sHER2 in patients receiving neoadjuvant therapy (NT) with lapatinib is still unclear. METHODS: The neoadjuvant GeparQuinto trial compared trastuzumab vs lapatinib in addition to chemotherapy in HER2-positive primary breast cancer patients. The sHER2 levels were measured by enzyme-linked immunosorbant assay in 210 patients, of whom 109 (52%) patients received trastuzumab and 101 (48%) lapatinib at three different time points. RESULTS: Twenty-two percent of patients had elevated baseline sHER2 levels (>15 ng ml⁻¹). A decrease of sHER2 levels (>20%) in the trastuzumab and lapatinib-treated group during NT was seen in 44% and 24% of the patients, an increase of sHER2 levels (>20%) was seen in 6% and 41% of patients, respectively. Higher pre-chemotherapy sHER2 levels were associated with higher pathological complete remission (pCR) rates in the entire study cohort (OR 1.8, 95% CI 1.02-3.2, P=0.043). A decline of sHER2 levels (>20%) during NT was a predictor for pCR in the lapatinib-treated patient group (OR: 11.7, 95% CI 1.3-110, P=0.031). CONCLUSION: Results of this study demonstrate that sHER2 levels change differently during NT depending on the anti-HER2 treatment strategy. Elevated baseline sHER2 levels (>15 ng ml⁻¹) and a decrease of sHER2 levels (>20%) early after therapy initiation are both relevant criteria to predict response to lapatinib-based treatment.

Prognostic impact of thymidine phosphorylase expression in breast cancer--comparison of microarray and immunohistochemical data.

Contrary findings exist according to the prognostic and predictive impact of thymidine phosphorylase (TP) expression in breast cancer. Goal of our study was to investigate TP expression on the mRNA level by microarray analysis in a large cohort of 1781 breast cancers and to analyse its prognostic impact. Furthermore we compared mRNA expression and immunohistochemical data to explain discrepancies between different studies. The prognostic value of TP mRNA expression was analysed among n=622 untreated patients. Strong expression in the subgroup of n=213 ER-negative cancer correlates with improved survival (P=0.012). In contrast, no difference in survival was detected in the ER-positive group. We also failed to observe a prognostic value of TP mRNA among n=435 endocrine-treated patients as well as n=111 CMF-treated patients. In an unsupervised analysis, TP clustered together with genes expressed in immune cells. Moreover, among normal tissues the highest TP mRNA expression was found in tissues of the immune system. The profile of TP expression in breast cancers correlates to a metagene of interferon induction whereas the expression of TP among normal tissues correlates to a metagene for macrophages. When comparing microarray data with immunohistochemistry from the same n=51 samples, there was no correlation with stained carcinoma cells. In contrast, the correlation with stromal staining was highly significant (P<0.001). Thus TP mRNA from microarray mainly reflects expression in stromal and immune cells. This could account for discrepant results from mRNA and IHC studies. In conclusion, the tumour infiltrating immune cells seem to be a major source of TP expression and predict a favourable prognosis in ER-negative breast cancer. Our data point to a role of TP in host immune response.

Clinical relevance of the putative stem cell marker p63 in breast cancer.

P63 is a member of the p53 family. This protein is crucial for the maintenance of a stem cell population in the human epithelium and necessary for the normal development of all epithelial tissues including mammary glands. In normal breast tissue, the p63 seems to be a specific myoepithelial cell marker. P63 expression has been described in highly aggressive ER negative basal-like breast tumors. The value of p63 expression in ER positive disease is less clear. The expression levels of p63 mRNA by Affymetrix microarray analysis in a combined cohort of 2,158 ER positive breast cancers and its prognostic and predictive impact were analyzed. Tumor samples containing large amounts of benign breast tissue, which will interfere with p63 measurement, were excluded prior to the analysis. Survival analysis revealed a better prognosis of ER positive breast cancer expressing p63 (n = 410; P < 0.036). No correlation of p63 with standard parameters was observed. In a subgroup analysis, endocrine-treated patients with high p63 expression showed a better prognosis than low p63 expression (P = 0.06; n = 186). In untreated patients, this effect was less clear (n = 148; P = 0.5). P63 is a positive prognostic factor in endocrine-treated ER positive breast cancer and might influence responsiveness to endocrine treatment. Thus, p63 could be helpful as a predictive factor for endocrine therapy.

Acid ceramidase 1 expression correlates with a better prognosis in ER-positive breast cancer.

OBJECTIVES: Ceramide and sphingosine mediate response to cancer therapy, inhibit cell growth and induce apoptosis in vitro. Only a few clinical data about the impact of ceramide and sphingosine iny vivo are available. We investigated the relevance of ceramide- and sphingosine-generating enzymes in breast cancer (acid ceramidase 1 (ASAH1), ceramide synthases 4 (LASS4) and 6 (LASS6)) by means of gene expression analysis. METHODS: We analyzed differences in ASAH1, LASS4 and LASS6 on mRNA level between breast cancer subgroups using microarray data from 1581 tumor samples. RESULTS: High ASAH1, LASS4 and LASS6 expression correlates with pathohistological grading (p < 0.001) and estrogen receptor (ER) status (p < 0.001). High ASAH1 expression was associated with a larger tumor size >2 cm (p = 0.003), while high LASS6 expression was correlated with ErbB2 negativity (p < 0.001). In survival analysis, we detected a significant better prognosis of patients with higher ASAH1 expression (p = 0.002) in the ER-positive subgroup. In contrast, expression of LASS4 or LASS6 did not show any prognostic impact. In the multivariate analysis, only ASAH1 expression (p = 0.002), tumor size (p < 0.0001) and ErbB2 positivity (p = 0.041) remained significant. CONCLUSION: ASAH1 is an estrogen-dependent member of the sphingolipid metabolism, which might provide further prognostic information in ER-positive breast cancers.

Gene expression of topoisomerase II alpha (TOP2A) by microarray analysis is highly prognostic in estrogen receptor (ER) positive breast cancer.

INTRODUCTION: Overexpression of Topoisomerase II alpha (TOP2A) has been implicated with gene amplification of the 17q21 amplicon and consecutively with ErbB2 overexpression and amplification. However, gene amplification does not necessarily correlate with RNA and protein expression. There is growing evidence that TOP2A protein expression is a strong prognostic and TOP2A gene amplification might be a predictive marker (particularly for the use of anthracyclines). METHODS: Large scale analysis was performed using Affymetrix microarray data from n = 1,681 breast cancer patients to evaluate TOP2A expression. RESULTS: TOP2A expression showed a strong correlation with tumor size (chi(2)-test, P < 0.001), grading (P < 0.001), ErbB2 (P < 0.001) and Ki67 expression (P < 0.001) as well as nodal status (P = 0.042). Survival analysis revealed a significant prognostic value in ER positive (n = 994; log rank P < 0.001), but not in ER negative breast cancer patients (n = 369, P = 0.35). The prognostic impact of TOP2A expression was independent of Ki67 expression in ER positive tumors (P = 0.002 and P = 0.007 for high and low Ki67, respectively). Moreover a worse prognosis of high TOP2A expressing tumors was found in the subgroup of ErbB2 negative tumors (P < 0.001) and a trend among ErbB2 positive tumors (P = 0.11). The prognostic value of TOP2A was independent of whether the patients were untreated or had received adjuvant therapy. In multivariate Cox regression analysis including standard parameters TOP2A emerged to be the top prognostic marker (HR 2.40, 95% CI 1.68-3.43, P < 0.001). CONCLUSION: TOP2A expression is an independent prognostic factor in ER positive breast cancer and could be helpful for risk assessment in ER positive breast cancer patients.

Differentially expressed genes of reprogrammed human pluripotent stem cells in breast cancer.

Reprogramming of human somatic cells into pluripotent cell types gives insight in the pathophysiology of diseases. We analysed genes recently shown to be differentially expressed in induced pluripotent stem cells (iPS) in 95 breast cancer samples. This analysis reveals two breast cancer subgroups with stem cell-like features, differing in ER-status and proliferation as well as in their clinical course of disease.

"Stem cell like" breast cancers-a model for the identification of new prognostic/predictive markers in endocrine responsive breast cancer exemplified by Plexin B1.

The identification of new biological markers for breast cancer has adopted a new dimension by the use of novel techniques such as global gene expression profiling. While important results have been achieved by these methods not all hopes for a more precise assessment of patients' prognosis have yet been accomplished and validation of prognostic or predictive gene signatures is still often difficult. Several recent approaches suggest that comparisons of differential gene expression could be more instructive if prior classifications of tumors based on molecular or biological characteristics were applied. We previously reported a subtype of breast cancer by using a cluster of coordinately expressed genes many of which has been associated with the mammary epithelial stem cells. While a stringent inverse link of ER status and proliferation of the tumor was observed among those "stem cell like" (SCL) tumors, this link was "uncoupled" in about half of the Non-"stem cell like" (Non-SCL) tumors. This subgroup of SCL tumors can be used as a reference system to analyze changes in the ER pathway by comparing the expression of genes dependent on the ER status. By using this strategy we identified Plexin B1, a cell-surface receptor for the semaphorin Sema4D, whose expression is reduced in the group of "uncoupled" tumors. Loss of Plexin B1 is associated with a poor prognosis in both univariate (all patients: p=0.0062; ER positive: p=0.0107) and multivariate analyses (all patients: p=0.032; ER positive: p=0.022). In conclusion those strategies of gene expression analysis in a context of biological meaningful classifications could be helpful to reveal new prognostic/predictive markers.

The erbB2+ cluster of the intrinsic gene set predicts tumor response of breast cancer patients receiving neoadjuvant chemotherapy with docetaxel, doxorubicin and cyclophosphamide within the GEPARTRIO trial.

Gene expression profiling using Affymetrix HG-U133 Arrays (22,500 genes) was performed on fresh frozen pretherapeutic core biopsies from 50 patients undergoing neoadjuvant chemotherapy (NAC) with docetaxel, adriamycin, cyclophosphamide (TAC) within the GEPARTRIO trial. The Sorlie classification based on the "intrinsic gene set" revealed four different subgroups in our cohort (normal-like: 14%, basal-like: 20%, erbB2+: 22% and luminal: 44%), which is in line with the original description. High genomic grade but not histopathological grading was statistically different within the four subgroups (P<0.001). About 45.5% of tumors classified according to erbB2+ cluster showed a pathological complete response compared to 0% in the normal-like, 10.0% in the basal-like and 9.1% in the luminal subgroup (P=0.024). There was a trend to less tumor relapses in the erbB2+ subgroup (0%) compared to the normal-like (28.6%), basal-like (30.0%) and luminal (13.6%) cluster (P=0.215). Our data suggest that the molecular tumor subtypes based on the "intrinsic gene set" can be used to predict tumor response according to NAC.

Gene expression profiling of breast cancer patients treated with docetaxel, doxorubicin, and cyclophosphamide within the GEPARTRIO trial: HER-2, but not topoisomerase II alpha and microtubule-associated protein tau, is highly predictive of tumor response.

Gene expression analysis in breast cancer patients undergoing neoadjuvant chemotherapy is an interesting tool for identification of gene signatures and new markers to predict tumor response. However, the detection of predictive markers strongly depends on the drugs used in the specific therapeutic setting. There is growing evidence that topoisomerase II-alpha (TOPO IIalpha) is a marker for anthracycline-, and microtubule-associated protein tau (MAPT) for taxane sensitivity. HER-2 has been described as a marker of both anthracycline and taxane sensitivity. We performed gene expression profiling of 50 patients within the GEPARTRIO study, an anthracycline and taxane neoadjuvant chemotherapy trial. Here we investigate the predictive value of TOPO IIalpha, MAPT and HER-2 mRNA expression for pathological complete response (pCR) in this setting. Interestingly, HER-2 gene expression was strongly predictive of pCR (P=0.017) as well as overall response (P=0.037) and clinical complete response (cCR, P=0.050). In contrast, for both TOPO IIalpha and MAPT no correlation with pCR was observed in our sample group.

[Identification of preeclampsia by cDNA-gene expression profiling in human placentas and serum -- a pilot study]. / Identifikation von Präeklampsiepatientinnen mittels cDNA-Genexpressionsprofilen an humanen Plazentaproben und Serum -- eine Pilotstudie.

OBJECTIVE: Preeclampsia is associated with significant maternal and fetal morbidity and mortality. The etiology remains unclear. For the accurate diagnosis and the prevention of preeclampsia it seems to be important to find a diagnostic tool that identifies risk patients before symptoms occur. With a new approach, the cDNA-Array analysis, human placentas and blood from preeclamptic and healthy pregnant women were examined for differentially expressed genes to find typical genes expression profiles. MATERIAL AND METHODS: In this pilot study, cDNA array analysis with a 19 200 gene array of placenta and blood samples from three preeclamptic patients have been performed to classify this samples based on expression patterns. RESULTS: Comparing normal placenta and blood from healthy delivered women (n = 4), a subset of 200 genes repeatedly found to be differentially expressed in preeclampsia. The placenta and blood samples from preeclampsia were accurately grouped by their individual gene expression patterns. CONCLUSIONS: These results suggest that the use of cDNA array is a tool to identify gene expression patterns in preeclampsia. With this set of differentially expressed genes in conjunction with sample clustering algorithms the identification of preeclampsia in placenta or blood samples is possible.