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18
result(s) for
"Wilhelm, Tabea"
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Dabrafenib in patients with Val600Glu or Val600Lys BRAF-mutant melanoma metastatic to the brain (BREAK-MB): a multicentre, open-label, phase 2 trial
by
Guckert, Mary
,
Goodman, Vicki
,
Davies, Michael A
in
Adult
,
Brain Neoplasms - drug therapy
,
Brain Neoplasms - epidemiology
2012
Brain metastases are common in patients with metastatic melanoma and median overall survival from their diagnosis is typically 17–22 weeks. We assessed dabrafenib in patients with Val600Glu or Val600Lys BRAF-mutant melanoma metastatic to the brain.
We undertook a multicentre, open-label, phase 2 trial in 24 centres in six countries. We enrolled patients with histologically confirmed Val600Glu or Val600Lys BRAF-mutant melanoma and at least one asymptomatic brain metastasis (≥5 mm and ≤40 mm in diameter). Eligible patients were aged 18 years or older, had an Eastern Cooperative Oncology Group performance status of 0 or 1, and had adequate organ function. Patients were split into two cohorts: those in cohort A had not received previous local treatment for brain metastases and those in cohort B had progressive brain metastases after previous local treatments. Patients received 150 mg oral dabrafenib twice a day until disease progression, death, or unacceptable adverse events. The primary endpoint was the proportion of patients with Val600Glu BRAF-mutant melanoma who achieved an overall intracranial response, which was defined as a complete response or partial response assessed with a modified form of Response Evaluation Criteria in Solid Tumors (RECIST 1.1). We included patients who received at least one dose of dabrafenib in efficacy and safety analyses. This study is registered with ClinicalTrials.gov, number NCT01266967.
Between Feb 2, 2011, and Aug 5, 2011, we enrolled 172 patients: 89 (52%) in cohort A and 83 (48%) in cohort B. 139 (81%) had Val600Glu BRAF-mutant melanoma. 29 (39·2%, 95% CI 28·0–51·2) of 74 patients with Val600Glu BRAF-mutant melanoma in cohort A achieved an overall intracranial response, as did 20 (30·8%, 19·9–43·4) of 65 in cohort B. One (6·7%, 0·2–31·9) of 15 patients with Val600Lys BRAF-mutant melanoma achieved an overall intracranial response in cohort A, as did four (22·2%, 6·4–47·6) of 18 such patients in cohort B. Treatment-related adverse events of grade 3 or worse occurred in 38 (22%) patients. Eleven (6%) patients developed squamous-cell carcinoma (five [6%] patients in cohort A, of whom one also had keratoacanthoma; six [7%] in cohort B). Four grade 4 treatment-related adverse events occurred in cohort A: one blood amylase increase, one convulsion, one lipase increase, and one neutropenia. Two grade 4 events occurred in cohort B: one agranulocytosis and one intracranial haemorrhage. 51 (30%) patients had a serious adverse event. The three most frequent serious adverse events were pyrexia (ten [6%] patients), intracranial haemorrhage (ten [6%]; one treatment-related), and squamous-cell carcinoma (11 [6%]).
Dabrafenib has activity and an acceptable safety profile in patients with Val600Glu BRAF-mutant melanoma and brain metastases irrespective of whether they are untreated or have been previously treated but have progressed.
GlaxoSmithKline.
Journal Article
Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review
by
Krieghoff-Henning, Eva
,
French, Lars
,
Utikal, Jochen Sven
in
Accuracy
,
Business metrics
,
Cancer
2021
Recent years have been witnessing a substantial improvement in the accuracy of skin cancer classification using convolutional neural networks (CNNs). CNNs perform on par with or better than dermatologists with respect to the classification tasks of single images. However, in clinical practice, dermatologists also use other patient data beyond the visual aspects present in a digitized image, further increasing their diagnostic accuracy. Several pilot studies have recently investigated the effects of integrating different subtypes of patient data into CNN-based skin cancer classifiers.
This systematic review focuses on the current research investigating the impact of merging information from image features and patient data on the performance of CNN-based skin cancer image classification. This study aims to explore the potential in this field of research by evaluating the types of patient data used, the ways in which the nonimage data are encoded and merged with the image features, and the impact of the integration on the classifier performance.
Google Scholar, PubMed, MEDLINE, and ScienceDirect were screened for peer-reviewed studies published in English that dealt with the integration of patient data within a CNN-based skin cancer classification. The search terms skin cancer classification, convolutional neural network(s), deep learning, lesions, melanoma, metadata, clinical information, and patient data were combined.
A total of 11 publications fulfilled the inclusion criteria. All of them reported an overall improvement in different skin lesion classification tasks with patient data integration. The most commonly used patient data were age, sex, and lesion location. The patient data were mostly one-hot encoded. There were differences in the complexity that the encoded patient data were processed with regarding deep learning methods before and after fusing them with the image features for a combined classifier.
This study indicates the potential benefits of integrating patient data into CNN-based diagnostic algorithms. However, how exactly the individual patient data enhance classification performance, especially in the case of multiclass classification problems, is still unclear. Moreover, a substantial fraction of patient data used by dermatologists remains to be analyzed in the context of CNN-based skin cancer classification. Further exploratory analyses in this promising field may optimize patient data integration into CNN-based skin cancer diagnostics for patients' benefits.
Journal Article
Effects of Label Noise on Deep Learning-Based Skin Cancer Classification
by
Krieghoff-Henning, Eva
,
French, Lars
,
Meier, Friedegund
in
Accuracy
,
artificial intelligence
,
Biopsy
2020
Recent studies have shown that deep learning is capable of classifying dermatoscopic images at least as well as dermatologists. However, many studies in skin cancer classification utilize non-biopsy-verified training images. This imperfect ground truth introduces a systematic error, but the effects on classifier performance are currently unknown. Here, we systematically examine the effects of label noise by training and evaluating convolutional neural networks (CNN) with 804 images of melanoma and nevi labeled either by dermatologists or by biopsy. The CNNs are evaluated on a test set of 384 images by means of 4-fold cross validation comparing the outputs with either the corresponding dermatological or the biopsy-verified diagnosis. With identical ground truths of training and test labels, high accuracies with 75.03% (95% CI: 74.39-75.66%) for dermatological and 73.80% (95% CI: 73.10-74.51%) for biopsy-verified labels can be achieved. However, if the CNN is trained and tested with different ground truths, accuracy drops significantly to 64.53% (95% CI: 63.12-65.94%,
< 0.01) on a non-biopsy-verified and to 64.24% (95% CI: 62.66-65.83%,
< 0.01) on a biopsy-verified test set. In conclusion, deep learning methods for skin cancer classification are highly sensitive to label noise and future work should use biopsy-verified training images to mitigate this problem.
Journal Article
Adjuvant immunotherapy with nivolumab versus observation in completely resected Merkel cell carcinoma (ADMEC-O): disease-free survival results from a randomised, open-label, phase 2 trial
by
Kellner, Ivonne
,
Meier, Friedegund
,
Berking, Carola
in
Adjuvants
,
Adjuvants, Immunologic - therapeutic use
,
Aged
2023
Merkel cell carcinoma (MCC) is an immunogenic but aggressive skin cancer. Even after complete resection and radiation, relapse rates are high. PD-1 and PD-L1 checkpoint inhibitors showed clinical benefit in advanced MCC. We aimed to assess efficacy and safety of adjuvant immune checkpoint inhibition in completely resected MCC (ie, a setting without an established systemic standard-of-care treatment).
In this multicentre phase 2 trial, patients (any stage, Eastern Cooperative Oncology Group performance status 0–1) at 20 academic medical centres in Germany and the Netherlands with completely resected MCC lesions were randomly assigned 2:1 to receive nivolumab 480 mg every 4 weeks for 1 year, or observation, stratified by stage (American Joint Committee on Cancer stages 1–2 vs stages 3–4), age (<65 vs ≥65 years), and sex. Landmark disease-free survival (DFS) at 12 and 24 months was the primary endpoint, assessed in the intention-to-treat populations. Overall survival and safety were secondary endpoints. This planned interim analysis was triggered when the last-patient-in was followed up for more than 1 year. This study is registered with ClinicalTrials.gov (NCT02196961) and with the EU Clinical Trials Register (2013-000043-78).
Between Oct 1, 2014, and Aug 31, 2020, 179 patients were enrolled (116 [65%] stage 3–4, 122 [68%] ≥65 years, 111 [62%] male). Stratification factors (stage, age, sex) were balanced across the nivolumab (n=118) and internal control group (observation, n=61); adjuvant radiotherapy was more common in the control group. At a median follow-up of 24·3 months (IQR 19·2–33·4), median DFS was not reached (between-groups hazard ratio 0·58, 95% CI 0·30–1·12); DFS rates in the nivolumab group were 85% at 12 months and 84% at 24 months, and in the observation group were 77% at 12 months and 73% at 24 months. Overall survival results were not yet mature. Grade 3–4 adverse events occurred in 48 [42%] of 115 patients who received at least one dose of nivolumab and seven [11%] of 61 patients in the observation group. No treatment-related deaths were reported.
Adjuvant therapy with nivolumab resulted in an absolute risk reduction of 9% (1-year DFS) and 10% (2-year DFS). The present interim analysis of ADMEC-O might suggest clinical use of nivolumab in this area of unmet medical need. However, overall survival events rates, with ten events in the active treatment group and six events in the half-the-size observation group, are not mature enough to draw conclusions. The explorative data of our trial support the continuation of ongoing, randomised trials in this area. ADMEC-O suggests that adjuvant immunotherapy is clinically feasible in this area of unmet medical need.
Bristol Myers Squibb.
Journal Article
Rapid remission through multimodal therapy in a severe form of PASH Syndrome: A case report
PASH syndrome is a rare autoinflammatory dermatosis characterized by the triad of pyoderma gangrenosum (PG), acne conglobata, and hidradenitis suppurativa (HS), driven by innate immune dysregulation and IL-1–mediated neutrophilic inflammation. We report a 38-year-old woman presenting with severe HS (Hurley stage III), chronic nodulocystic facial acne, and PG-like ulcers, consistent with PASH syndrome. Her condition was marked by debilitating pain (VAS 8/10), malodorous discharge, and extensive ulceration, necessitating examination under general anesthesia. Previous therapies, including antibiotics and adalimumab, had failed. Surgical intervention involved fistula excision, wound debridement, and drainage. Histopathology confirmed neutrophilic inflammation without systemic disease. A combination of IV ertapenem, high-dose corticosteroids, and oral cyclosporine A led to rapid clinical improvement: pain resolution, mobility recovery, and complete healing of lesions within eight weeks. This case highlights the importance of early recognition of PASH through its cutaneous triad. Given the absence of standardized treatment guidelines, a multimodal, individualized approach, incorporating surgery, antimicrobial therapy, and immunosuppression is crucial. Our findings support the effectiveness of cyclosporine A and corticosteroids in achieving remission and underscore the need for multidisciplinary care in managing this complex dermatosis.
Journal Article
The Price of Tumor Control: An Analysis of Rare Side Effects of Anti-CTLA-4 Therapy in Metastatic Melanoma from the Ipilimumab Network
by
Berking, Carola
,
Bockmeyer, Clemens L.
,
Voskens, Caroline J.
in
Adult
,
Aged
,
Aged, 80 and over
2013
Ipilimumab, a cytotoxic T-lymphocyte antigen-4 (CTLA-4) blocking antibody, has been approved for the treatment of metastatic melanoma and induces adverse events (AE) in up to 64% of patients. Treatment algorithms for the management of common ipilimumab-induced AEs have lead to a reduction of morbidity, e.g. due to bowel perforations. However, the spectrum of less common AEs is expanding as ipilimumab is increasingly applied. Stringent recognition and management of AEs will reduce drug-induced morbidity and costs, and thus, positively impact the cost-benefit ratio of the drug. To facilitate timely identification and adequate management data on rare AEs were analyzed at 19 skin cancer centers.
Patient files (n = 752) were screened for rare ipilimumab-associated AEs. A total of 120 AEs, some of which were life-threatening or even fatal, were reported and summarized by organ system describing the most instructive cases in detail. Previously unreported AEs like drug rash with eosinophilia and systemic symptoms (DRESS), granulomatous inflammation of the central nervous system, and aseptic meningitis, were documented. Obstacles included patientś delay in reporting symptoms and the differentiation of steroid-induced from ipilimumab-induced AEs under steroid treatment. Importantly, response rate was high in this patient population with tumor regression in 30.9% and a tumor control rate of 61.8% in stage IV melanoma patients despite the fact that some patients received only two of four recommended ipilimumab infusions. This suggests that ipilimumab-induced antitumor responses can have an early onset and that severe autoimmune reactions may reflect overtreatment.
The wide spectrum of ipilimumab-induced AEs demands doctor and patient awareness to reduce morbidity and treatment costs and true ipilimumab success is dictated by both objective tumor responses and controlling severe side effects.
Journal Article
Treatment of unresectable stage IV metastatic melanoma with aviscumine after anti-neoplastic treatment failure: a phase II, multi-centre study
by
Schenck, Florian
,
Gutzmer, Ralf
,
Kähler, Katharina C
in
Cancer
,
Chemotherapy
,
Clinical trials
2014
Background
Aviscumine, a recombinant plant protein, is an immune modulator that induces ribotoxic stress at the 28S ribosomal RNA subunit. In this way cytokine release and T-cell responses are enhanced. This phase II trial was conducted to test the efficacy and safety of aviscumine in patients with systemically pre-treated metastatic melanoma stage IV.
Methods
A total of 32 patients with progressive stage IV melanoma after failure of standard therapy were enrolled onto a single-arm, multi-centre, open-label, phase II trial. All patients had an ECOG performance status of 0 or 1. Patients received 350 ng aviscumine twice weekly by subcutaneous injection until progression. The primary end points were progression-free survival (PFS) and overall survival (OS). Safety was assessed as adverse events (AEs). Tumor response was assessed every eight weeks and survival of patients was followed up to one year after the end of therapy. Thirty one patients (intent-to-treat population (ITT)) were assessed for efficacy; safety was assessed in the whole population.
Results
One patient achieved a partial response (PR) and 10 patients showed stable disease/no change (SD). The median progression-free survival (mPFS) was 63 days (95% CI 57–85) and median overall survival (mOS) was 335 days (95% CI 210–604). In total 210 treatment-emergent adverse events were recorded. Grade 1 or 2 AEs occurred in 72% of patients and were mostly application-site effects such as pruritus Grade 3–4 treatment-emergent drug-related adverse events occurred in 9% of patients.
Conclusion
These results suggest that aviscumine may have a clinical impact in patients with previously treated metastatic melanoma and provide rationale for further clinical evaluation of this agent. In the light of effective new immune checkpoint blockers it might be a candidate for combinations with these agents.
Trial registration
ClinicalTrials.gov:
NCT00658437
Journal Article
Clinical relevance of molecular characteristics in Burkitt lymphoma differs according to age
2022
While survival has improved for Burkitt lymphoma patients, potential differences in outcome between pediatric and adult patients remain unclear. In both age groups, survival remains poor at relapse. Therefore, we conducted a comparative study in a large pediatric cohort, including 191 cases and 97 samples from adults. While
TP53
and
CCND3
mutation frequencies are not age related, samples from pediatric patients showed a higher frequency of mutations in
ID3
,
DDX3X, ARID1A
and
SMARCA4
, while several genes such as
BCL2
and
YY1AP1
are almost exclusively mutated in adult patients. An unbiased analysis reveals a transition of the mutational profile between 25 and 40 years of age. Survival analysis in the pediatric cohort confirms that
TP53
mutations are significantly associated with higher incidence of relapse (25 ± 4% versus 6 ± 2%, p-value 0.0002). This identifies a promising molecular marker for relapse incidence in pediatric BL which will be used in future clinical trials.
Survival outcomes in Burkitt lymphoma differ between adult and paediatric patients. Here, the authors show differences in mutational frequencies between age groups, and a transition between mutational profiles which occurs between 25 and 40 years.
Journal Article
FlySilico: Flux balance modeling of Drosophila larval growth and resource allocation
by
Schönborn, Jürgen Wilhelm
,
Mettler-Altmann, Tabea
,
Beller, Mathias
in
101/58
,
631/114/2390
,
631/136/334/1582/715
2019
Organisms depend on a highly connected and regulated network of biochemical reactions fueling life sustaining and growth promoting functions. While details of this metabolic network are well established, knowledge of the superordinate regulatory design principles is limited. Here, we investigated by iterative wet lab and modeling experiments the resource allocation process during the larval development of
Drosophila melanogaster
. We chose this system, as survival of the animals depends on the successful allocation of their available resources to the conflicting processes of growth and storage metabolite deposition. First, we generated “FlySilico”, a curated metabolic network of
Drosophila
, and performed time-resolved growth and metabolite measurements with larvae raised on a holidic diet. Subsequently, we performed flux balance analysis simulations and tested the predictive power of our model by simulating the impact of diet alterations on growth and metabolism. Our predictions correctly identified the essential amino acids as growth limiting factor, and metabolic flux differences in agreement with our experimental data. Thus, we present a framework to study important questions of resource allocation in a multicellular organism including process priorization and optimality principles.
Journal Article
Angiosarcomas of Primary Gynecologic Origin – A Case Series and Review of the Literature
2020
Background/Aim: Angiosarcoma of primary gynecologic origin is an extremely rare and highly malignant tumor of endothelial origin with a 5-year survival rate of less than 35%. To date, only 61 cases have been described in the literature. The aim of this study was to present more cases and discuss potential therapy options. Case Report: The following case series presents three cases of gynecologic angiosarcomas that were under therapy at the Charité – University medicine of Berlin from June 2014 to February 2018. Results: Two of the cases deal with primary angiosarcomas of the uterus whereas the third case was diagnosed after the suspicion of a recurrence of a poorly differentiated squamous cell carcinoma of the cervix uteri. In case one a 75-year old patient with initial postmenopausal bleeding and a tumor mass of the uterus is described. After surgery a hemangiosarcoma of the uterus was confirmed. After two months the patient presented with a presacral peritoneal sarcomatosis. Chemotherapy of weekly paclitaxel was administered. Case two deals with a patient presenting with abdominal pain. A uterine sarcoma with infiltration of the parametry and angiosarcomatosis peritonei was diagnosed during an emergency laparotomy because of spontaneous peritoneal bleeding. Moreover, osseous metastasis was found. The patient underwent weekly paclitaxel. Due to tumor progression, chemotherapy was changed to doxorubicin and olaratumab and radiotherapy was induced. The patient died 33 months after initial diagnosis. Case three describes a 34-year old patient with suspected local recurrence of cervical cancer with infiltration of the bladder. During TURB an angiosarcoma was found. Following laparoscopy revealed peritoneal metastasis. The patient underwent weekly paclitaxel followed by a paclitaxel and pazopanib maintainance therapy which showed a regression. Due to progression afterwards, chemotherapy was changed to gemcitabine and docetaxel and gemcitabine monotherapy. The patient died 33 months after initial diagnosis. Conclusion: Even though there is no evidence on standard treatment of this extremely rare and aggressive tumor entity of the female genital tract the patients showed the longest stability of disease during chemotherapy with weekly paclitaxel.
Journal Article