Lars Hanker

T-cell metagene predicts a favorable prognosis in estrogen receptor-negative and HER2-positive breast cancers

IntroductionLymphocyte infiltration (LI) is often seen in breast cancer but its importance remains controversial. A positive correlation of human epidermal growth factor receptor 2 (HER2) amplification and LI has been described, which was associated with a more favorable outcome. However, specific lymphocytes might also promote tumor progression by shifting the cytokine milieu in the tumor.MethodsAffymetrix HG-U133A microarray data of 1,781 primary breast cancer samples from 12 datasets were included. The correlation of immune system-related metagenes with different immune cells, clinical parameters, and survival was analyzed.ResultsA large cluster of nearly 600 genes with functions in immune cells was consistently obtained in all datasets. Seven robust metagenes from this cluster can act as surrogate markers for the amount of different immune cell types in the breast cancer sample. An IgG metagene as a marker for B cells had no significant prognostic value. In contrast, a strong positive prognostic value for the T-cell surrogate marker (lymphocyte-specific kinase (LCK) metagene) was observed among all estrogen receptor (ER)-negative tumors and those ER-positive tumors with a HER2 overexpression. Moreover ER-negative tumors with high expression of both IgG and LCK metagenes seem to respond better to neoadjuvant chemotherapy.ConclusionsPrecise definitions of the specific subtypes of immune cells in the tumor can be accomplished from microarray data. These surrogate markers define subgroups of tumors with different prognosis. Importantly, all known prognostic gene signatures uniformly assign poor prognosis to all ER-negative tumors. In contrast, the LCK metagene actually separates the ER-negative group into better or worse prognosis.

A clinically relevant gene signature in triple negative and basal-like breast cancer.

IntroductionCurrent prognostic gene expression profiles for breast cancer mainly reflect proliferation status and are most useful in ER-positive cancers. Triple negative breast cancers (TNBC) are clinically heterogeneous and prognostic markers and biology-based therapies are needed to better treat this disease.MethodsWe assembled Affymetrix gene expression data for 579 TNBC and performed unsupervised analysis to define metagenes that distinguish molecular subsets within TNBC. We used n = 394 cases for discovery and n = 185 cases for validation. Sixteen metagenes emerged that identified basal-like, apocrine and claudin-low molecular subtypes, or reflected various non-neoplastic cell populations, including immune cells, blood, adipocytes, stroma, angiogenesis and inflammation within the cancer. The expressions of these metagenes were correlated with survival and multivariate analysis was performed, including routine clinical and pathological variables.ResultsSeventy-three percent of TNBC displayed basal-like molecular subtype that correlated with high histological grade and younger age. Survival of basal-like TNBC was not different from non basal-like TNBC. High expression of immune cell metagenes was associated with good and high expression of inflammation and angiogenesis-related metagenes were associated with poor prognosis. A ratio of high B-cell and low IL-8 metagenes identified 32% of TNBC with good prognosis (hazard ratio (HR) 0.37, 95% CI 0.22 to 0.61; P < 0.001) and was the only significant predictor in multivariate analysis including routine clinicopathological variables.ConclusionsWe describe a ratio of high B-cell presence and low IL-8 activity as a powerful new prognostic marker for TNBC. Inhibition of the IL-8 pathway also represents an attractive novel therapeutic target for this disease.

Prospective validation study of a predictive score for operability of recurrent ovarian cancer: The multicenter intergroup study DESKTOP II. A project of the AGO kommission OVAR, AGO study group, NOGGO, AGO-Austria, and MITO

Purpose: The DESKTOP I trial proposed a score for the prediction of complete cytoreduction in recurrent ovarian cancer. Resectability was assumed if 3 factors were present: (1) complete resection at first surgery, (2) good performance status, and (3) absence of ascites. The DESKTOP II trial was planned to verify this hypothesis prospectively in a multicenter setting. Methods: Participating centers prospectively enrolled all consecutive patients with platinum-sensitive first or second relapse. The score was applied to all patients, but centers were free to decide on therapy. All further therapies were documented, and the outcome of patients was analyzed. A 75% complete resection rate in 110 prospectively classified patients had to be achieved to confirm a positive predictive value of 2 or higher of 3 with 95% probability. Results: A total of 516 patients were screened within 19 months; of these, 261 patients (51%) were classified as score positive, and 129 patients with a positive score and first relapse were operated on. The rate of complete resection was 76%, thus confirming the validity of this score regarding positive prediction of complete resectability in 2 or more of 3 patients. Complication rates were moderate including second operations in 11% and perioperative mortality in 0.8%. Conclusions: This score is the first prospectively validated instrument to positively predict surgical outcome in recurrent ovarian cancer. It can aid in the selection of patients who might benefit from secondary cytoreductive surgery and will be enrolled in the recently started randomized prospective DESKTOP III trial investigating the role of surgery in recurrent platinum-sensitive ovarian cancer.

NO Signaling Confers Cytoprotectivity through the Survivin Network in Ovarian Carcinomas

Despite considerable success in the treatment of epithelial ovarian cancer (EOC), therapy resistance counteracts improvement of long-term survival. The dual role of survivin as an apoptosis inhibitor and mitotic regulator has been associated with disease outcome. However, the molecular mechanisms involved in the deregulated expression in EOC of survivin need further investigation. Here, we show that high amounts of the nitric oxide (NO) donors, S-nitroso-N-acetyl-penicillamine (SNAP) and sodium nitroprusside (SNP) or strong overexpression of the inducible nitric oxide synthase (iNOS) suppressed survivin levels via the p38MAPK pathway and triggered apoptosis in ovarian cancer cell lines (OCC). Importantly, low NO concentrations conferred resistance against carboplatin/paclitaxel-induced apoptosis. Cytoprotection was mediated by survivin because we observed its up-regulation subsequent to low SNAP/SNP doses or ectopic expression of low amounts of iNOS. Also, RNAi-mediated depletion of survivin blocked the antiapoptotic effects of NO signaling. Induction of survivin involves activation of the phosphatidylinositol-3-kinase (PI3K)/Akt pathway, which was antagonized by the PI3K-inhibitor, LY294002. Interestingly, application of the iNOS-inhibitor 1400W together with RNAi-mediated survivin down-regulation cooperatively enhanced drug-induced apoptosis in OCCs. The iNOS/survivin interdependencies seem to be also of clinical relevance because immunohistochemistry revealed that low iNOS levels correlate with survivin expression (P < 0.01) in carboplatin/paclitaxel-treated EOC patients with minimal postoperative residual tumor (n = 54). Also, iNOS and survivin expression were associated with increased risk for disease progression. Our study uncovers a novel molecular mechanism of how NO signaling may contribute to therapy resistance in EOC by modulating survivin expression. Pharmacogenetic iNOS/survivin-targeting strategies may hence be pursued to complement current treatment modalities in EOC.

A phase II trial (AGO 2.11) in platinum-resistant ovarian cancer: a randomized multicenter trial with sunitinib (SU11248) to evaluate dosage, schedule, tolerability, toxicity and effectiveness of a multitargeted receptor tyrosine kinase inhibitor monotherapy

BACKGROUND Recurrent platinum-resistant ovarian cancer usually has a poor outcome with conventional chemotherapeutic therapy and new treatment modalities are warranted. This phase II study was conducted to evaluate sunitinib, an oral antiangiogenic multitargeted tyrosin kinase inhibitor, in this setting. MATERIAL AND METHODS The primary end point of this randomized phase II trial was the objective response rate according to RECIST criteria and/or Gynecologic Cancer InterGroup CA125 response criteria to sunitinib in patients with recurrent platinum-resistant ovarian cancer who were pretreated with up to three chemotherapies. A selection design was employed to compare two schedules of sunitinib (arm 1: 50 mg sunitinib daily orally for 28 days followed by 14 days off drug; and arm 2: 37.5 mg sunitinib administered daily continuously). RESULTS Of 73 patients enrolled, 36 patients were randomly allocated to the noncontinuous treatment arm (arm 1) and 37 patients were randomly allocated to the continuous treatment arm (arm 2). The mean age was 58.8 and 58.5 years, respectively. We observed six responders (complete response+partial response) in arm 1 (16.7%) and 2 responders in arm 2 (5.4%). The median progression-free survival (arm 1: 4.8 [2.9-8.1] months; arm 2: 2.9 [2.9-5.1] months) and the median overall survival (arm 1: 13.6 [7.0-23.2] months; arm 2: 13.7 [8.4-25.6] months) revealed no significant difference. Adverse events included fatigue as well as cardiovascular, gastrointestinal and abdominal symptoms, hematologic and hepatic laboratory abnormalities. Pattern and frequency of adverse events revealed no substantial differences between both treatment groups. CONCLUSIONS Sunitinib treatment is feasible and moderately active in relapsed platinum-resistant ovarian cancer. The noncontinuous treatment schedule should be chosen for further studies in ovarian cancer.BACKGROUND Recurrent platinum-resistant ovarian cancer usually has a poor outcome with conventional chemotherapeutic therapy and new treatment modalities are warranted. This phase II study was conducted to evaluate sunitinib, an oral antiangiogenic multitargeted tyrosin kinase inhibitor, in this setting. MATERIAL AND METHODS The primary end point of this randomized phase II trial was the objective response rate according to RECIST criteria and/or Gynecologic Cancer InterGroup CA125 response criteria to sunitinib in patients with recurrent platinum-resistant ovarian cancer who were pretreated with up to three chemotherapies. A selection design was employed to compare two schedules of sunitinib (arm 1: 50 mg sunitinib daily orally for 28 days followed by 14 days off drug; and arm 2: 37.5 mg sunitinib administered daily continuously). RESULTS Of 73 patients enrolled, 36 patients were randomly allocated to the noncontinuous treatment arm (arm 1) and 37 patients were randomly allocated to the continuous treatment arm (arm 2). The mean age was 58.8 and 58.5 years, respectively. We observed six responders (complete response + partial response) in arm 1 (16.7%) and 2 responders in arm 2 (5.4%). The median progression-free survival (arm 1: 4.8 [2.9-8.1] months; arm 2: 2.9 [2.9-5.1] months) and the median overall survival (arm 1: 13.6 [7.0-23.2] months; arm 2: 13.7 [8.4-25.6] months) revealed no significant difference. Adverse events included fatigue as well as cardiovascular, gastrointestinal and abdominal symptoms, hematologic and hepatic laboratory abnormalities. Pattern and frequency of adverse events revealed no substantial differences between both treatment groups. CONCLUSIONS Sunitinib treatment is feasible and moderately active in relapsed platinum-resistant ovarian cancer. The noncontinuous treatment schedule should be chosen for further studies in ovarian cancer.

Homogeneous datasets of triple negative breast cancers enable the identification of novel prognostic and predictive signatures

Background Current prognostic gene signatures for breast cancer mainly reflect proliferation status and have limited value in triple-negative (TNBC) cancers. The identification of prognostic signatures from TNBC cohorts was limited in the past due to small sample sizes. Methodology/Principal Findings We assembled all currently publically available TNBC gene expression datasets generated on Affymetrix gene chips. Inter-laboratory variation was minimized by filtering methods for both samples and genes. Supervised analysis was performed to identify prognostic signatures from 394 cases which were subsequently tested on an independent validation cohort (n = 261 cases). Conclusions/Significance Using two distinct false discovery rate thresholds, 25% and <3.5%, a larger (n = 264 probesets) and a smaller (n = 26 probesets) prognostic gene sets were identified and used as prognostic predictors. Most of these genes were positively associated with poor prognosis and correlated to metagenes for inflammation and angiogenesis. No correlation to other previously published prognostic signatures (recurrence score, genomic grade index, 70-gene signature, wound response signature, 7-gene immune response module, stroma derived prognostic predictor, and a medullary like signature) was observed. In multivariate analyses in the validation cohort the two signatures showed hazard ratios of 4.03 (95% confidence interval [CI] 1.71–9.48; P = 0.001) and 4.08 (95% CI 1.79–9.28; P = 0.001), respectively. The 10-year event-free survival was 70% for the good risk and 20% for the high risk group. The 26-gene signatures had modest predictive value (AUC = 0.588) to predict response to neoadjuvant chemotherapy, however, the combination of a B-cell metagene with the prognostic signatures increased its response predictive value. We identified a 264-gene prognostic signature for TNBC which is unrelated to previously known prognostic signatures.

Data driven derivation of cutoffs from a pool of 3,030 Affymetrix arrays to stratify distinct clinical types of breast cancer

Pooling of microarray datasets seems to be a reasonable approach to increase sample size when a heterogeneous disease like breast cancer is concerned. Different methods for the adaption of datasets have been used in the literature. We have analyzed influences of these strategies using a pool of 3,030 Affymetrix U133A microarrays from breast cancer samples. We present data on the resulting concordance with biochemical assays of well known parameters and highlight critical pitfalls. We further propose a method for the inference of cutoff values directly from the data without prior knowledge of the true result. The cutoffs derived by this method displayed high specificity and sensitivity. Markers with a bimodal distribution like ER, PgR, and HER2 discriminate different biological subtypes of disease with distinct clinical courses. In contrast, markers displaying a continuous distribution like proliferation markers as Ki67 rather describe the composition of the mixture of cells in the tumor.

Dose escalation and pharmacokinetic study of AEZS-108 (AN-152), an LHRH agonist linked to doxorubicin, in women with LHRH receptor-positive tumors

OBJECTIVES Receptors for luteinizing hormone-releasing hormone (LHRH) can be utilized for targeted chemotherapy of cytotoxic LHRH analogs. The compound AEZS-108 (previously AN-152) consists of [D-Lys⁶]LHRH linked to doxorubicin. The objectives of this first study in humans with AESZ-108 were to determine the maximum tolerated dose and to characterize the dose-limiting toxicity, pharmacokinetics, preliminary efficacy, and hormonal effects. METHODS The study included 17 women with histologically confirmed epithelial cancer of the ovary, endometrium, or breast that was metastatic or unresectable and for which standard curative or palliative measures could not be used or were no longer effective or tolerated. In each patient, immunohistochemistry of primary tumor or metastatic lesion confirmed that the tumors expressed LHRH receptors. RESULTS One patient each received intravenous doses of 10, 20, 40, or 80 mg/m² of AEZS-108, six received 160 mg/m² and seven 267 mg/m² at 3 week intervals. Dose-limiting leukopenia and neutropenia were observed at the highest dose. A total of 6 patients, 3 patients each in both upper dose groups, showed responses to AEZS-108. The half-life of AESZ-108 was estimated to be about 2h. CONCLUSIONS The maximum tolerated dose of AESZ-108 in the absence of supportive medication is 267 mg/m² and this dose is recommended as starting dose for therapeutic Phase II studies.

Loss of Plexin B1 is highly prognostic in low proliferating ER positive breast cancers - Results of a large scale microarray analysis

Plexins, cell-surface receptors for semaphorins, are involved in cell adhesion and migration. In the previous work, we demonstrated that the loss of Plexin B1 expression is associated with poor outcome in breast cancer patients. The goal of the present study was a validation of Plexin B1 expression in a large scale microarray dataset from n=1086 breast cancer patients. Plexin B1 correlates with ER status (p<0.001) and is of prognostic significance only in ER positive (p=0.024) but not in ER negative samples (p=0.85). Among ER positive tumours, the loss of Plexin B1 expression is associated with a positive ErbB2 status (p=0.05) and a high Ki67 expression (p=0.016) in univariate analysis. Multivariate Cox regression including all standard parameters among ER positive tumours revealed that Plexin B1 (HR 1.59, 95% confidence interval (CI) 1.03-2.47, p=0.036) remains a significant prognostic marker besides tumour size (HR 2.27, 95% CI 1.33-3.89, p=0.0028) and Ki67 (HR 1.78, 95% CI 1.12-2.84, p=0.0149). Interestingly, the prognostic value of Plexin B1 was pronounced in low proliferating ER positive tumours otherwise characterised by a low risk of recurrence. In conclusion, this study confirms our previous observations suggesting Plexin B1 as a new prognostic marker in ER positive breast cancers.

Melanoma antigen family A identified by the bimodality index defines a subset of triple negative breast cancers as candidates for immune response augmentation

BACKGROUND Molecular markers displaying bimodal expression distribution can reveal distinct disease subsets and may serve as prognostic or predictive markers or represent therapeutic targets. Oestrogen (ER) and human epidermal growth factor receptor 2 (HER2) receptors are strongly bimodally expressed genes in breast cancer. MATERIAL AND METHODS We applied a novel method to identify bimodally expressed genes in 394 triple negative breast cancers (TNBC). We identified 133 bimodally expressed probe sets (128 unique genes), 69 of these correlated to previously reported metagenes that define molecular subtypes within TNBC including basal-like, molecular-apocrine, claudin-low and immune cell rich subgroups but 64 probe sets showed no correlation with these features. RESULTS The single most prominent functional group among these uncorrelated genes was the X chromosome derived Cancer/Testis Antigens (CT-X) including melanoma antigen family A (MAGE-A) and Cancer/Testis Antigens (CTAG). High expression of CT-X genes correlated with worse survival in multivariate analysis (HR 2.02, 95% CI 1.27-3.20; P=0.003). The only other significant variable was lymph node status. The poor prognosis of patients with high MAGE-A expression was ameliorated by the concomitant high expression of immune cell metagenes (HR 1.87, 95% CI 0.96-3.64; P=0.060), whereas the same immune metagene had lesser prognostic value in TNBC with low MAGE-A expression. CONCLUSIONS MAGE-A antigen defines a very aggressive subgroup of TNBC; particularly in the absence of immune infiltration in the tumour microenvironment. These observations suggest a therapeutic hypothesis; TNBC with MAGE-A expression may benefit the most from further augmentation of the immune response. Novel immune stimulatory drugs such as (anti-cytotoxic T-lymphocyte antigen-4 CTLA-4) directed therapies provide a realistic opportunity to directly test this hypothesis in the clinic.