1
|
Heitkamp A, Madesta F, Amberg S, Wahaj S, Schröder T, Bechstein M, Meyer L, Broocks G, Hanning U, Gauer T, Werner R, Fiehler J, Gellißen S, Kniep HC. Discordant and Converting Receptor Expressions in Brain Metastases from Breast Cancer: MRI-Based Non-Invasive Receptor Status Tracking. Cancers (Basel) 2023; 15:cancers15112880. [PMID: 37296843 DOI: 10.3390/cancers15112880] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 05/15/2023] [Accepted: 05/18/2023] [Indexed: 06/12/2023] Open
Abstract
Discordance and conversion of receptor expressions in metastatic lesions and primary tumors is often observed in patients with brain metastases from breast cancer. Therefore, personalized therapy requires continuous monitoring of receptor expressions and dynamic adaptation of applied targeted treatment options. Radiological in vivo techniques may allow receptor status tracking at high frequencies at low risk and cost. The present study aims to investigate the potential of receptor status prediction through machine-learning-based analysis of radiomic MR image features. The analysis is based on 412 brain metastases samples from 106 patients acquired between 09/2007 and 09/2021. Inclusion criteria were as follows: diagnosed cerebral metastases from breast cancer; histopathology reports on progesterone (PR), estrogen (ER), and human epidermal growth factor 2 (HER2) receptor status; and availability of MR imaging data. In total, 3367 quantitative features of T1 contrast-enhanced, T1 non-enhanced, and FLAIR images and corresponding patient age were evaluated utilizing random forest algorithms. Feature importance was assessed using Gini impurity measures. Predictive performance was tested using 10 permuted 5-fold cross-validation sets employing the 30 most important features of each training set. Receiver operating characteristic areas under the curves of the validation sets were 0.82 (95% confidence interval [0.78; 0.85]) for ER+, 0.73 [0.69; 0.77] for PR+, and 0.74 [0.70; 0.78] for HER2+. Observations indicate that MR image features employed in a machine learning classifier could provide high discriminatory accuracy in predicting the receptor status of brain metastases from breast cancer.
Collapse
Affiliation(s)
- Alexander Heitkamp
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Frederic Madesta
- Department of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Sophia Amberg
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Schohla Wahaj
- Department of Radiotherapy and Radiation Oncology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Tanja Schröder
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Matthias Bechstein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Tobias Gauer
- Department of Radiotherapy and Radiation Oncology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - René Werner
- Department of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
- Center for Biomedical Artificial Intelligence (bAIome), University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Susanne Gellißen
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Helge C Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| |
Collapse
|
2
|
Michel A, Dinger TF, Santos AN, Pierscianek D, Darkwah Oppong M, Ahmadipour Y, Dammann P, Wrede KH, Hense J, Pöttgen C, Iannaccone A, Kimmig R, Sure U, Jabbarli R. Time interval between the diagnosis of breast cancer and brain metastases impacts prognosis after metastasis surgery. J Neurooncol 2022; 159:53-63. [PMID: 35672530 PMCID: PMC9325855 DOI: 10.1007/s11060-022-04043-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 05/21/2022] [Indexed: 11/29/2022]
Abstract
Abstract
Purpose
Breast cancer (BC) is the most frequently diagnosed tumor entity in women. Occurring at different time intervals (TI) after BC diagnosis, brain metastases (BM) are associated with poor prognosis. We aimed to identify the risk factors related to and the clinical impact of timing on overall survival (OS) after BM surgery.
Methods
We included 93 female patients who underwent BC BM surgery in our institution (2008–2019). Various clinical, radiographic, and histopathologic markers were analyzed with respect to TI and OS.
Results
The median TI was 45.0 months (range: 9–334.0 months). Fifteen individuals (16.1%) showed late occurrence of BM (TI ≥ 10 years), which was independently related to invasive lobular BC [adjusted odds ratio (aOR) 9.49, 95% confidence interval (CI) 1.47–61.39, p = 0.018] and adjuvant breast radiation (aOR 0.12, 95% CI 0.02–0.67, p = 0.016). Shorter TI (< 5 years, aOR 4.28, 95% CI 1.46–12.53, p = 0.008) was independently associated with postoperative survival and independently associated with the Union for International Cancer Control stage (UICC) III–IV of BC (aOR 4.82, 95% CI 1.10–21.17, p = 0.037), midline brain shift in preoperative imaging (aOR10.35, 95% CI 1.09–98.33, p = 0.042) and identic estrogen receptor status in BM (aOR 4.56, 95% CI 1.35–15.40, p = 0.015).
Conclusions
Several factors seem to influence the period between BC and BM. Occurrence of BM within five years is independently associated with poorer prognosis after BM surgery. Patients with invasive lobular BC and without adjuvant breast radiation are more likely to develop BM after a long progression-free survival necessitating more prolonged cancer aftercare of these individuals.
Collapse
Affiliation(s)
- Anna Michel
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany.
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg Essen, Essen, Germany.
- German Cancer Consortium (DKTK) Partner Site, University Hospital Essen, 45147, Essen, Germany.
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45147, Essen, Germany.
| | - Thiemo Florin Dinger
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg Essen, Essen, Germany
- German Cancer Consortium (DKTK) Partner Site, University Hospital Essen, 45147, Essen, Germany
| | - Alejandro N Santos
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg Essen, Essen, Germany
- German Cancer Consortium (DKTK) Partner Site, University Hospital Essen, 45147, Essen, Germany
| | - Daniela Pierscianek
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg Essen, Essen, Germany
- German Cancer Consortium (DKTK) Partner Site, University Hospital Essen, 45147, Essen, Germany
| | - Marvin Darkwah Oppong
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg Essen, Essen, Germany
- German Cancer Consortium (DKTK) Partner Site, University Hospital Essen, 45147, Essen, Germany
| | - Yahya Ahmadipour
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg Essen, Essen, Germany
- German Cancer Consortium (DKTK) Partner Site, University Hospital Essen, 45147, Essen, Germany
| | - Philipp Dammann
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg Essen, Essen, Germany
- German Cancer Consortium (DKTK) Partner Site, University Hospital Essen, 45147, Essen, Germany
| | - Karsten H Wrede
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg Essen, Essen, Germany
- German Cancer Consortium (DKTK) Partner Site, University Hospital Essen, 45147, Essen, Germany
| | - Jörg Hense
- Department of Medical Oncology, University Hospital Essen, Essen, Germany
- German Cancer Consortium (DKTK) Partner Site, University Hospital Essen, 45147, Essen, Germany
| | - Christoph Pöttgen
- Department of Radiotherapy, University Hospital Essen, Essen, Germany
- German Cancer Consortium (DKTK) Partner Site, University Hospital Essen, 45147, Essen, Germany
| | - Antonella Iannaccone
- Department of Obstetrics and Gynecology, University Hospital Essen, Essen, Germany
- German Cancer Consortium (DKTK) Partner Site, University Hospital Essen, 45147, Essen, Germany
| | - Rainer Kimmig
- Department of Obstetrics and Gynecology, University Hospital Essen, Essen, Germany
- German Cancer Consortium (DKTK) Partner Site, University Hospital Essen, 45147, Essen, Germany
| | - Ulrich Sure
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg Essen, Essen, Germany
- German Cancer Consortium (DKTK) Partner Site, University Hospital Essen, 45147, Essen, Germany
| | - Ramazan Jabbarli
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
- Center for Translational Neuro- & Behavioral Sciences (C-TNBS), University Duisburg Essen, Essen, Germany
- German Cancer Consortium (DKTK) Partner Site, University Hospital Essen, 45147, Essen, Germany
| |
Collapse
|
3
|
Michel A, Darkwah Oppong M, Rauschenbach L, Dinger TF, Barthel L, Pierscianek D, Wrede KH, Hense J, Pöttgen C, Junker A, Schmidt T, Iannaccone A, Kimmig R, Sure U, Jabbarli R. Prediction of Short and Long Survival after Surgery for Breast Cancer Brain Metastases. Cancers (Basel) 2022; 14:cancers14061437. [PMID: 35326590 PMCID: PMC8946189 DOI: 10.3390/cancers14061437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 03/02/2022] [Indexed: 12/09/2022] Open
Abstract
Background: Brain metastases requiring surgical treatment determine the prognosis of patients with breast cancer. We aimed to develop the scores for the prediction of short (<6 months) and long (≥3 years) survival after BCBM surgery. Methods: Female patients with BCBM surgery between 2008 and 2019 were included. The new scores were constructed upon independent predictors for short and long postoperative survival. Results: In the final cohort (n = 95), 18 (18.9%) and 22 (23.2%) patients experienced short and long postoperative survival, respectively. Breast-preserving surgery, presence of multiple brain metastases and age ≥ 65 years at breast cancer diagnosis were identified as independent predictors of short postoperative survival. In turn, positive HER2 receptor status in brain metastases, time interval ≥ 3 years between breast cancer and brain metastases diagnosis and KPS ≥ 90% independently predicted long survival. The appropriate short and long survival scores showed higher diagnostic accuracy for the prediction of short (AUC = 0.773) and long (AUC = 0.775) survival than the breast Graded Prognostic Assessment score (AUC = 0.498/0.615). A cumulative survival score (total score) showed significant association with overall survival (p = 0.001). Conclusion: We identified predictors independently impacting the prognosis after BCBM surgery. After external validation, the presented scores might become useful tools for the selection of proper candidates for BCBM surgery.
Collapse
Affiliation(s)
- Anna Michel
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, 45147 Essen, Germany; (M.D.O.); (L.R.); (T.F.D.); (L.B.); (D.P.); (K.H.W.); (U.S.); (R.J.)
- Correspondence: ; Tel.: +49-201-723-1230; Fax: +49-201-723-1220
| | - Marvin Darkwah Oppong
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, 45147 Essen, Germany; (M.D.O.); (L.R.); (T.F.D.); (L.B.); (D.P.); (K.H.W.); (U.S.); (R.J.)
| | - Laurèl Rauschenbach
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, 45147 Essen, Germany; (M.D.O.); (L.R.); (T.F.D.); (L.B.); (D.P.); (K.H.W.); (U.S.); (R.J.)
| | - Thiemo Florin Dinger
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, 45147 Essen, Germany; (M.D.O.); (L.R.); (T.F.D.); (L.B.); (D.P.); (K.H.W.); (U.S.); (R.J.)
| | - Lennart Barthel
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, 45147 Essen, Germany; (M.D.O.); (L.R.); (T.F.D.); (L.B.); (D.P.); (K.H.W.); (U.S.); (R.J.)
| | - Daniela Pierscianek
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, 45147 Essen, Germany; (M.D.O.); (L.R.); (T.F.D.); (L.B.); (D.P.); (K.H.W.); (U.S.); (R.J.)
| | - Karsten H. Wrede
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, 45147 Essen, Germany; (M.D.O.); (L.R.); (T.F.D.); (L.B.); (D.P.); (K.H.W.); (U.S.); (R.J.)
| | - Jörg Hense
- Department of Medical Oncology, University Hospital Essen, 45147 Essen, Germany;
| | - Christoph Pöttgen
- Department of Radiotherapy, University Hospital Essen, 45147 Essen, Germany;
| | - Andreas Junker
- Department of Neuropathology, University Hospital Essen, 45147 Essen, Germany;
| | - Teresa Schmidt
- Department of Neurooncology, University Hospital Essen, 45147 Essen, Germany;
| | - Antonella Iannaccone
- Department of Obstetrics and Gynecology, University Hospital Essen, 45147 Essen, Germany; (A.I.); (R.K.)
| | - Rainer Kimmig
- Department of Obstetrics and Gynecology, University Hospital Essen, 45147 Essen, Germany; (A.I.); (R.K.)
| | - Ulrich Sure
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, 45147 Essen, Germany; (M.D.O.); (L.R.); (T.F.D.); (L.B.); (D.P.); (K.H.W.); (U.S.); (R.J.)
| | - Ramazan Jabbarli
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, 45147 Essen, Germany; (M.D.O.); (L.R.); (T.F.D.); (L.B.); (D.P.); (K.H.W.); (U.S.); (R.J.)
| |
Collapse
|