Temporal trends of subsequent breast cancer among women with ovarian cancer: a population-based study

PARPis response and outcome of ovarian cancer patients with BRCA1/2 germline mutation and a history of breast cancer

OBJECTIVE

The aim of this study was to determine the poly (ADP-ribose) polymerase inhibitors (PARPis) response and outcome of ovarian cancer (OC) patients with BRCA1/2 germline mutation and a history of breast cancer (BC).

METHODS

Thirty-nine OC patients with BRCA1/2 germline mutation and a history of BC were included. The clinicopathological characteristics, PARPis response and prognosis were analyzed.

RESULTS

The median interval from BC to OC diagnosis was 115.3 months (range=6.4-310.1). A total of 38 patients (38/39, 97.4%) received platinum-based chemotherapy after surgical removal. The majority of these patients were reported to be platinum sensitive (92.1%, 35/38). 21 patients (53.8%) received PARPis treatment with 16 patients (76.2%) for maintenance treatment and 5 patients (5/21, 23.8%) for salvage treatment. The median duration for PARPis maintenance and salvage treatment was 14.9 months (range=2.0-56.9) and 8.2 months (range=5.2-20.7), respectively. In the entire cohort, 5-year progression-free survival (PFS) and overall survival (OS) rate was 33.1% and 78.9%, respectively. Patients with BRCA1 mutation had a non-significantly worse 5-year PFS (28.6% vs. 45.8%, p=0.346) and 5-year OS (76.9% vs. 83.3%, p=0.426) than those with BRCA2 mutation. In patients with stage III-IV (n=31), first line PARPis maintenance treatment associated with a non-significantly better PFS (median PFS: NR vs. 22.4 months; 5-year PFS: 64.3% vs. 21.9%, p=0.096).

CONCLUSION

The current study shows that these patients may have a good response to platinum-based chemotherapy and a favorable survival. And these patients can benefit from PARPis treatment and will likely be suitable candidates for PARPis.

Primary fallopian tube cancer followed by primary breast cancer in RAD51C mutation carrier treated with niraparib as first line maintenance therapy: a case report

Given the rarity of RAD51C mutations, the risk and treatment of metachronous breast cancer after the diagnosis of ovarian cancer in RAD51C mutation carriers is not clear, especially for those who have received PARPi treatment. We report the case of a 65-year-old woman diagnosed with stage IIIC high-grade serous primary fallopian tube cancer. The patient had no family history of breast or ovarian cancer. The patient received three cycles of neoadjuvant chemotherapy with paclitaxel and carboplatin and achieved a complete response. After interval debulking surgery, the patient received three cycles of adjuvant chemotherapy. Collection and extraction of saliva DNA for next-generation sequencing identified a RAD51C mutation c.838-2 A > G. The patient received niraparib as front-line maintenance treatment. After 36 months of niraparib treatment, the patient had grade II invasive ductal carcinoma of the left breast that was positive for estrogen receptor (90%) and Ki-67 (30%) and negative for progesterone receptor and human epidermal growth factor receptor 2. Computed tomography revealed the absence of distant metastases. Modified radical mastectomy and axillary lymph node dissection were then performed. The final pathological report of the breast showed a 1.8 cm Bloom-Richardson grade II invasive ductal carcinoma in the left breast with axillary lymph node metastasis (1/21). Finally, the breast cancer was stage IIA, pT1cN1M0. The metachronous breast cancer in this case may be the first report of second primary cancer in fallopian tube cancer patient harboring a RAD51C mutation during niraparib treatment. Further studies are required to determine optimal treatment.

A Multilabel Text Classifier of Cancer Literature at the Publication Level: Methods Study of Medical Text Classification

BACKGROUND

Given the threat posed by cancer to human health, there is a rapid growth in the volume of data in the cancer field and interdisciplinary and collaborative research is becoming increasingly important for fine-grained classification. The low-resolution classifier of reported studies at the journal level fails to satisfy advanced searching demands, and a single label does not adequately characterize the literature originated from interdisciplinary research results. There is thus a need to establish a multilabel classifier with higher resolution to support literature retrieval for cancer research and reduce the burden of screening papers for clinical relevance.

OBJECTIVE

The primary objective of this research was to address the low-resolution issue of cancer literature classification due to the ambiguity of the existing journal-level classifier in order to support gaining high-relevance evidence for clinical consideration and all-sided results for literature retrieval.

METHODS

We trained a multilabel classifier with scalability for classifying the literature on cancer research directly at the publication level to assign proper content-derived labels based on the "Bidirectional Encoder Representation from Transformers (BERT) + X" model and obtain the best option for X. First, a corpus of 70,599 cancer publications retrieved from the Dimensions database was divided into a training and a testing set in a ratio of 7:3. Second, using the classification terminology of International Cancer Research Partnership cancer types, we compared the performance of classifiers developed using BERT and 5 classical deep learning models, such as the text recurrent neural network (TextRNN) and FastText, followed by metrics analysis.

RESULTS

After comparing various combined deep learning models, we obtained a classifier based on the optimal combination "BERT + TextRNN," with a precision of 93.09%, a recall of 87.75%, and an F1-score of 90.34%. Moreover, we quantified the distinctive characteristics in the text structure and multilabel distribution in order to generalize the model to other fields with similar characteristics.

CONCLUSIONS

The "BERT + TextRNN" model was trained for high-resolution classification of cancer literature at the publication level to support accurate retrieval and academic statistics. The model automatically assigns 1 or more labels to each cancer paper, as required. Quantitative comparison verified that the "BERT + TextRNN" model is the best fit for multilabel classification of cancer literature compared to other models. More data from diverse fields will be collected to testify the scalability and extensibility of the proposed model in the future.

Characteristics of second primary breast cancer after ovarian cancer: a Korea central cancer registry retrospective study

Background

Second primary cancer has become an important issue among cancer survivors. This study sought to determine the differences in clinicopathologic outcomes between second primary breast cancer (SPBC) after ovarian cancer and primary breast cancer (PBC) in the Republic of Korea.

Methods and materials

We searched the Korea Central Cancer Registry and identified 251,244 breast cancer cases that were diagnosed between 1999 and 2017. The incident rate and standardized incidence ratio (SIR) were calculated. Demographic and clinical characteristics and overall survival (OS) rates were estimated according to age, histological type, and cancer stage.

Results

Among the 228,329 patients included, 228,148 were patients with PBC, and 181 patients had SPBC diagnosed after ovarian cancer (OC). The mean ages at diagnosis were 56.09 ± 10.81 years for SPBC and 50.65 ± 11.40 years for PBC. Patients with SPBC were significantly less likely than patients with PBC to receive adjuvant radiotherapy (14.92% vs. 21.92%, p = 0.02) or adjuvant chemotherapy (44.75% vs. 55.69%, p < 0.01). Based on the age-standardized rate (ASR), the incidence of SPBC after OC was 293.58 per 100,000 ovarian cancer patients and the incidence of PBC was 39.13 per 100,000 women. The SIR for SPBC was 1.27 (1.09-1.46, 95% Confidence interval) in the patients overall. The 5-year OS rates were 72.88% and 89.37% for SPBC and PBC (p < 0.01). The OS rate in SPBC decreased significantly with advanced stage and older age.

Conclusion

The incidence of breast cancer is about 1.27 times higher in ovarian cancer patients than in healthy people. The survival outcomes were worse for SPBC than for PBC and were related to older age and advanced stage. Active screening for breast cancer is necessary in ovarian cancer patients.

Population incidence and characteristics of secondary breast cancer after uterine cancer: a competing risk analysis

PURPOSE

To examine incidence and characteristics of women who developed secondary breast cancer after uterine cancer.

METHODS

This is a population-based retrospective cohort study utilizing the National Cancer Institute's Surveillance, Epidemiology, and End Result Program from 1973 to 2013. Women with uterine cancer who did not have synchronous or a history of breast cancer were followed after their uterine cancer diagnosis (N = 236,561). A time-dependent competing risk analysis was performed to examine cumulative incidences and clinico-pathological characteristics of those who subsequently developed breast cancer.

RESULTS

There were 7110 (3.0%) women who developed secondary breast cancers after uterine cancer with 5-, 10-, and 20-year cumulative incidence rates of 1.5, 2.8, and 4.7%, respectively. The increase in the rate of secondary breast cancer was particularly high in the first 3 years after a uterine cancer diagnosis (annual percent change [APC] 4.9), followed by 3-7 years (APC 1.6) after diagnosis (P < 0.001). The median time to develop secondary breast cancer was 6.4 years. Older women had significantly shorter time intervals between uterine and breast cancer diagnoses (3.7 years for aged > 71, 5.9 for aged 64-71, 7.6 for aged 56-63, and 9.4 for aged < 56, P < 0.001). In a multivariable analysis, older age, White race, married status, endometrioid, serous, and mixed histology types, and early-stage tumors remained as independent factors of developing secondary breast cancer (all, P < 0.05).

CONCLUSION

Tumor factors with endometrioid and serous histology types and early-stage disease were the factors associated with secondary breast cancer after uterine cancer diagnosis. Older women had shorter time to develop secondary breast cancer.

Breast cancer surveillance following ovarian cancer in BRCA mutation carriers

OBJECTIVES

BRCA 1 or 2 mutation carriers have increased risk of developing breast cancer (BC) and serous epithelial ovarian cancer (EOC). The incidence of BC over time after EOC is unknown. Optimal BC surveillance for BRCA mutation carriers following EOC has not been defined.

METHODS

A multi-institutional retrospective chart review was performed. Patients with BRCA -associated EOC diagnosed between 1996 and 2016 were followed for an average of 80 months. Women with previous bilateral mastectomy were excluded; women with prior BC and an intact breast were included. Descriptive statistics, Chi Square, and univariate survival analysis were performed.

RESULTS

184 patients with BRCA -associated EOC were identified. Eighteen (10%) were diagnosed with BC a median of 48 months following EOC. Two (1%) with prior BC developed contralateral BC and 16 (9%) developed primary BC. The majority of BC (55%) was diagnosed 3 years following EOC. The 3-, 5- and 10-year incidence of BC was 5.6%, 9.5% and 33.3%. Annual mammography was performed in 43% and MRI in 34%. Twenty-eight (15%) women underwent risk-reducing mastectomy (RRM). There was no statistically significant difference in BC screening between women with, and without, a prior BC. BC was most commonly detected on mammogram. Three (17%) women had occult BC at the time of RRM. Nine (50%) had DCIS, and 8 (44%) had stage I/II BC. Median 5- and 10-year survival was 68% and 43% and was comparable between groups.

CONCLUSIONS

Ten percent of women developed BC after EOC. The incidence of BC following EOC in BRCA carriers increases over time, and surveillance is recommended given their enhanced survival of EOC. Timely genetic testing for women with EOC is imperative to better triage BC screening resources and treatment.