Association of metastatic pattern in breast cancer with tumor and patient-specific factors: a nationwide autopsy study using artificial intelligence.

BACKGROUND: Metastatic spread is characterized by considerable heterogeneity in most cancers. With increasing treatment options for patients with metastatic disease, there is a need for insight into metastatic patterns of spread in breast cancer patients using large-scale studies. METHODS: Records of 2622 metastatic breast cancer patients who underwent autopsy (1974-2010) were retrieved from the nationwide Dutch pathology databank (PALGA). Natural language processing (NLP) and manual information extraction (IE) were applied to identify the tumors, patient characteristics, and locations of metastases. RESULTS: The accuracy (0.90) and recall (0.94) of the NLP model outperformed manual IE (on 132 randomly selected patients). Adenocarcinoma no special type more frequently metastasizes to the lung (55.7%) and liver (51.8%), whereas, invasive lobular carcinoma mostly spread to the bone (54.4%) and liver (43.8%), respectively. Patients with tumor grade III had a higher chance of developing bone metastases (61.6%). In a subgroup of patients, we found that ER+/HER2+ patients were more likely to metastasize to the liver and bone, compared to ER-/HER2+ patients. CONCLUSION: This is the first large-scale study that demonstrates that artificial intelligence methods are efficient for IE from Dutch databanks. Different histological subtypes show different frequencies and combinations of metastatic sites which may reflect the underlying biology of metastatic breast cancer.

The value of case reports in rare oncological scenarios: mixed method analysis of colorectal metastases from breast cancer.

With improved survival of cancer patients, we increasingly encounter infrequent metastatic locations. While for the common metastatic locations both prognostic information as well as evidence-based guidelines are available, for rare locations we have to rely on anecdotal case reports, the value of which is currently unknown. Therefore, we performed a systemic literature review and compare the results with a large national real-life cohort focussed on breast cancer patients with colorectal metastases. We performed a systematic literature search for breast cancer patients with colorectal metastases. Autopsy studies were excluded. Data on stage, histological factors, treatment and outcome were extracted. All identified cases were analysed as individual patients. The real-life cohort was extracted from the nationwide Dutch pathology databank. Linkage with the Netherlands Cancer Registry provided clinical characteristics, treatment and outcome data. Survival analyses and univariate regression were performed to identify relevant features for future treatment decisions. We identified 308 patients from 207 studies in the literature, and 454 patients in the real-life cohort. Colorectal metastases were the first metastatic event in 42.5% and 47.0% respectively. Cohorts were comparable for age, gender, location and hormone status, but differed in tumour type, stage and treatment. The time to colorectal metastases was similar in both cohorts (median of 68 months), and was dependent on presence of other metastases, nodal status, and primary breast surgery. The median overall survival after development of colorectal metastases was 20.6 months (95%CI 18.0-23.1 months). Despite a potential publication bias and lack of complete data for patients in the case report series, we have shown that an extensive systematic review can provide data that are comparable to real-life data, which can be used for decision-making and informing patients. Colorectal metastases are a late event in breast cancer patients, that is not associated with a detrimental survival.

The impact of standardized structured reporting of pathology reports for breast cancer care.

PURPOSE: With the increasing complexity of modern oncological patient management and the growing amount of information needed from the pathologist, traditional narrative pathology reports (NR) do not suffice. Standardized synoptic reporting (SR) increases both completeness and readability. In the Netherlands SR for breast cancer was introduced in 2009. We explore the impact of synoptic reporting on breast cancer care. METHODS: Using data from the Netherlands Cancer Registry and Dutch Nationwide Pathology Databank, a retrospective population-based cohort study was performed. Data of breast cancer resections from 2007 to 2014 were collected to compare NR and SR for all outcome measures. Kaplan-Meier analyses and log-rank testing were used to estimate overall survival. RESULTS: Over time there was an increase from 12% to 78.9% in the use of SR. SR resulted in higher completeness of pathology reports, particularly for hormone and HER2/neu receptor status. Although there was no difference in the administration of antihormonal therapy, anti-HER2 treatment was more frequently administered to eligible patients in the SR group. An effect on overall survival could not yet be confirmed on multivariate analysis. CONCLUSIONS: We demonstrate that SR has led to more complete pathology reports, which meets the needs for precision of information in breast cancer care. This is expected to improve communication and discussions between specialists regarding parameters important for adjuvant breast cancer treatment decisions. SR thereby improves breast cancer care and leads to improved allocation of treatment based on pathologic parameters and more personalized treatment regimens.