Primary lung cancer in women after previous breast cancer

Diagnostic challenge and survival analysis of pulmonary oligometastases and primary lung cancer in breast cancer patients

BACKGROUND

The aim of this study was to compare breast cancer patients with pulmonary oligometastases (POM) and primary lung cancer (PLC) and to assess whether there were differences in clinical features, CT features, and survival outcomes between the two groups.

METHODS

From January 2010 to December 2021, the clinical records of 437 with malignant pulmonary nodules who had breast cancer patients were reviewed. POM was identified in 45 patients and PLC in 43 patients after the initial detection of pulmonary nodules. The clinicopathological characteristics, CT appearance of pulmonary nodules, and survival of the two groups were compared.

RESULTS

Stage II to IV breast tumors (p < 0.001), high pathological grade of breast cancer (p = 0.001), low proportion of luminal-type breast cancer (p = 0.003), and the higher serum CYFRA 21-1 level (p = 0.046) were the clinical characteristics of pulmonary nodules suggestive of POM rather than PLC. The CT features of lung nodules indicative of PLC rather than POM were the subsolid component (p < 0.001), lobulation (p = 0.010), air bronchogram (p < 0.001) and pleural indentation (p = 0.004). Ten-year survival rate for PLC was 93.2%, which was higher compared with 57.8% in those with POM (p = 0.001).

CONCLUSIONS

Elevated serum CYFRA 21-1 levels and late-stage breast cancer may be beneficial for the diagnosis of POM. CT imaging appearances of the subsolid component, lobulation, air bronchogram, and pleural indentation increase the likelihood of PLC. Breast cancer patients with PLC presented better survival with attentive monitoring than those with POM.

Incidental detection of ground glass nodules and primary lung cancer in patients with breast cancer: prevalence and long-term follow-up on chest computed tomography

Background

Patients with breast cancer have a higher risk of developing lung cancer than the general population. The study aimed to evaluate the prevalence of ground glass nodule (GGN) and risk factors for GGN growth in patients with breast cancer and to evaluate the prevalence and pathologic features of lung cancer.

Methods

We retrospectively reviewed the clinical data and chest computed tomography (CT) of 1,384 patients diagnosed with breast cancer who underwent chest CT between January 2008 and December 2022. We evaluated the prevalence of GGNs and their size changes on follow-up chest CT with volume doubling time (VDT) and identified independent risk factors associated with the growth of GGN using multivariable logistic regression analyses. Furthermore, the prevalence and pathologic features of lung cancer were also evaluated.

Results

We detected persistent GGNs in 69 of 1,384 (5.0%) patients. The initial diameter of GGNs was 6.3±3.6 mm on average, with primarily (85.5%) pure GGNs. Among them, 27 (39.1%) exhibited interval growth with a median VDT of 1,006.0 days (interquartile range, 622.0-1,528.0 days) during the median 959.0 days (interquartile range, 612.0-1,645.0 days) follow-up period. Older age (P=0.026), part-solid nodules (P=0.006), and total number of GGNs (≥2) (P=0.007) were significant factors for GGN growth. Lung cancer was confirmed in 13 of 1,384 patients (0.9%), all with adenocarcinoma, including one case of minimally invasive adenocarcinoma. The cancers demonstrated a high rate of epidermal growth factor receptor (EGFR) mutation (69.2%).

Conclusions

Persistent GGNs in breast cancer patients with high-risk factors should be adequately monitored for early detection and treatment of lung cancer.

Association of radiotherapy for stage I-III breast cancer survivors and second primary malignant cancers: a population-based study

PURPOSE

With life span extending, breast cancer survivors may face the possibility of developing second primary cancers (SPCs). The objective of this research is to investigate the risk factors, risk attribute to radiotherapy and the survivalship for SPCs.

METHODS

A total of 445 523 breast cancer patients were enrolled from Surveillance, Epidemiology, and End Results database in 2000-2018. The risk factors for SPCs development were confirmed by competing risk model, and then were integrated to the nomogram establishment. The cumulative incidence of SPCs including SBC (second breast cancer), SGC (second gynecological cancer), and SLC (second lung cancer) were estimated. The radiotherapy-associated risk for SPCs were evaluated by Poisson regression in radiotherapy and no-radiotherapy. Propensity score matching was used to reduce possible bias for survival comparison.

RESULTS

There were 57.63% patients in radiotherapy. The risk factors for developing SPCs were age, year, race, tumor size, stage, radiotherapy, grade, surgery, and histology. The cumulative incidence of SPCs was 7.75% in no-radiotherapy and 10.33% in radiotherapy. SLC, SBC, and SGC also appeared the similar results. The increased risk of developing SPCs were associated with radiotherapy in majority subgroups. The dynamic radiotherapy-associated risk for SPCs by age slightly increased risk was observed. Regardless radiotherapy or no-radiotherapy, the 10-year overall survival for SBC (radiotherapy: 59.41%; no-radiotherapy: 55.53%) and SGC (radiotherapy: 48.61%; no-radiotherapy: 35.53%) were worse than that among matched patients with only primary cancers.

CONCLUSIONS

Breast cancer survivors remained a high radiotherapy-associated risk for developing SPCs. The prognosis in radiotherapy was better than in no-radiotherapy for some specific SPCs. Largely attention should be paid to these patients.

An Unexpected Diagnosis of Second Primary Malignancy in a Breast Cancer Survivor: A Case Report

BACKGROUND

Breast cancer survival rates are increasing more than ever with the development of better diagnostic and therapeutic techniques. Survivors of breast cancer have an increased risk of developing second primary malignancies, which may be mistaken for breast cancer recurrence and lead to delayed diagnosis and poor prognosis.

CASE REPORT

We report a case of a 62-year-old female who presented with shortness of breath and bone pain. She had a history of left triple-positive invasive ductal carcinoma (T1N0M0) treated with bilateral skin-sparing mastectomy, adjuvant Taxotere, and trastuzumab-based therapy and then continued on trastuzumab and letrozole. She underwent imaging to explore the source of her symptoms at which new pulmonary nodules were discovered. During workup, she was found to have elevated tumor markers. They were initially suspected to be breast cancer recurrence metastases based on elevated tumor markers; however, further investigations confirmed that the nodules were a second primary lung adenocarcinoma with a different molecular profile. The patient had disease progression despite chemotherapy and eventually succumbed to her disease.

CONCLUSION

This case highlights the importance of considering second primary malignancies in breast cancer survivors and utilizing advanced diagnostic modalities to efficiently diagnose such cases.

Personalized Risk Prediction for Cancer Survivors: A Bayesian Semi-parametric Recurrent Event Model with Competing Outcomes

Multiple primary cancers are increasingly more frequent due to improved survival of cancer patients. Characteristics of the first primary cancer largely impact the risk of developing subsequent primary cancers. Hence, model-based risk characterization of cancer survivors that captures patient-specific variables is needed for healthcare policy making. We propose a Bayesian semi-parametric framework, where the occurrence processes of the competing cancer types follow independent non-homogeneous Poisson processes and adjust for covariates including the type and age at diagnosis of the first primary. Applying this framework to a historically collected cohort with families presenting a highly enriched history of multiple primary tumors and diverse cancer types, we have derived a suite of age-to-onset penetrance curves for cancer survivors. This includes penetrance estimates for second primary lung cancer, potentially impactful to ongoing cancer screening decisions. Using Receiver Operating Characteristic (ROC) curves, we have validated the good predictive performance of our models in predicting second primary lung cancer, sarcoma, breast cancer, and all other cancers combined, with areas under the curves (AUCs) at 0.89, 0.91, 0.76 and 0.68, respectively. In conclusion, our framework provides covariate-adjusted quantitative risk assessment for cancer survivors, hence moving a step closer to personalized health management for this unique population.

The impact of previous extrapulmonary malignancies on survival of surgically treated primary lung cancer: a comprehensive systematic review and meta-analysis

Whether a history of previous extrapulmonary malignancies had an impact on the survival of surgically treated primary lung cancer patients remains unknown. To better answer this question, we, therefore, conducted the first meta-analysis to compare the survival of lung cancer patients after surgical resection with previous extrapulmonary malignancies and those without. We systematically searched PubMed, Embase, and the Cochrane Library to identify relevant studies up to April 1, 2022. Data for analysis were obtained directly from the text results or calculated from the Kaplan-Meier survival curve, which mainly included 5-year overall survival (OS) and recurrence-free survival (RFS). Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were analyzed by the fixed-effect model test or standard random-effect model test depending on the heterogeneity of the included studies. The Q-test and I²-test were used to assess heterogeneity. Sensitivity analysis was performed to examine the stability of the pooled results. We finally included 7 retrospective studies consisting of 19,723 surgically treated primary lung cancer patients with (7.7%) or without (92.3%) previous extrapulmonary malignancies. The final results showed that lung patients with previous extrapulmonary malignancies had an inferior OS (HR 1.18, 95% CI [1.07, 1.31], P = 0.001) than those without, but no significant difference in RFS (HR 1.15, 95% CI [0.89-1.47], P = 0.29) was observed between the two groups. Moreover, when only focusing on stage-I primary lung cancer patients with or without previous extrapulmonary malignancies, the results still held true (OS: HR 1.39, 95% CI [1.04, 1.85], P = 0.02; RFS: HR 1.10, 95% CI [0.82-1.49], P = 0.51, respectively). No significant heterogeneities or publication bias were observed among these studies. Our meta-analysis showed that surgically treated primary lung cancer patients with a previous extrapulmonary cancer history had a worse overall survival than those without. However, a history of previous extrapulmonary cancer was not associated with postsurgical lung cancer recurrence, and more large-scale prospective studies should be encouraged to update our conclusions.