Risk of second malignancy in patients with ovarian clear cell carcinoma

Second primary malignancies in women with breast cancer

BACKGROUND

Increased screening and treatment advancements have resulted in improved survival rates in women with breast cancer (BC). However, recent data suggests these women have elevated risk of developing a second primary malignancy (SPM) compared to the general population. Limited data exists on factors associated with BC patients developing a SPM.

METHOD

A retrospective review of a prospective single institution database (1990-2016) identified 782 patients with a history of BC. One hundred and ninety-four BC patients developed a SPM. Clinicopathologic and treatment characteristics were analyzed.

RESULTS

Of the 194 patients (24.8%) who developed a SPM, 56 (28.9%) BC patients were <50 years old (range: 24-87 years). Two-thirds (64.9%) had at least one first or second degree relative with a malignancy (no relatives-35.1%; ≥1 relative-62.9%). Most patients had invasive ductal carcinoma (n = 117, 60.3%) or ductal carcinoma in situ (n = 39, 20.1%). Twenty-two patients (11.3%) had pathogenic genetic mutations. Mean time to developing a SPM was 8.9 years (range: 4 months-50 years). Eighty (47.6%) patients received chemotherapy with 91 (54.5%) completing radiation. The most common SPMs were breast (22%), melanoma (17.8%), gynecologic (14.1%), colorectal (12.6%), hematologic (8.9%), and sarcoma (6.5%). Most breast tumors were estrogen receptor (ER) (n = 99, 78.0%) or progesterone receptor (PR) positive (n = 87, 73.1%) but not HER2-neu positive (n = 13, 14.0%).

CONCLUSION

Most BC patients who developed a SPM had ER/PR positive tumors and a family history of malignancy, with most <50 years old. Although chemotherapy and radiation increase cancer risk, there were an equal number of patients with SPMs who did or did not receive either treatment. Most SPMs were breast, soft tissue, gynecologic, hematologic, or colorectal. BC patients should be followed closely given an elevated propensity for developing SPMs.

Incidence, risk and prognosis of second primary malignancy of patients with gastric adenocarcinoma

Due to the long-term low survival rates of gastric adenocarcinoma (GAC) patients, the occurrence and prognosis of second primary malignancies (SPMs) are often underreported and overlooked as a significant concern.To date, only a few studies have addressed this issue in the context of GAC. These studies, however, are limited by their small patient cohorts and lack of substantial, meaningful findings. Our study aims to fill this gap by investigating the incidence, risk factors, and prognostic significance of SPMs among GAC survivors. Utilizing the Surveillance, Epidemiology, and End Results (SEER) database, we analysed data from patients diagnosed with GAC between 2000 and 2020. The study employs the standardized incidence ratio (SIR) to assess the relative risk of SPMs, competing risk regression to identify risk factors for SPM development after GAC, and Kaplan-Meier and COX regression analyses for survival outcomes. Out of 44,041 GAC patients analyzed, 2,032 (4.3%) developed SPMs, with a median latency period of 36 months. The incidence of SPMs was significantly higher in GAC patients (SIR 1.36, 95% CI 1.32-1.4, EAR 53.57) compared to the general population. Key factors including older age, sex, tumor grade, summary stage, and history of surgical and radiation therapy were related to the higher risk of developing SPMs following GAC. Interestingly, GAC patients without SPMs exhibited poorer overall survival compared to those with SPMs. Age, summary stage, and surgical history were identified as independent prognostic factors for GAC patients with SPMs. This comprehensive analysis underscores the necessity of vigilant monitoring and tailored follow-up for SPMs in GAC survivors, highlighting the study's contribution to enhancing GAC survivors care strategies.

Screening of Differentially Expressed Iron Death-Related Genes and the Construction of Prognosis Model in Patients with Renal Clear Cell Carcinoma

Objective

In this study, we used the TCGA database and ICGC database to establish a prognostic model of iron death associated with renal cell carcinoma, which can provide predictive value for the identification of iron death-related genes and clinical treatment of renal clear cell carcinoma.

Methods

The gene expression profiles and clinical data of renal clear cell carcinoma and normal tissues were obtained in the TCGA database and ICGC database, and the differential genes related to iron death were screened out. The differential genes were screened out by single and multifactor Cox risk regression model. R software, "edge" package (version 4.0), was used to identify the DELs of 551 transcriptional gene samples and 522 clinical samples. The risk prediction model with genes was established to analyze the correlation between the genes in the established model and clinical characteristics, Through the final screening of iron death related genes, it can be used to predict the prognosis of renal clear cell carcinoma and provide advice for clinical targeted therapy.

Results

Seven iron death differential genes (CLS2, FANCD2, PHKG2, ACSL3, ATP5MC3, CISD1, PEBP1) associated with renal clear cell carcinoma were finally screened and were refer to previous relevant studies. These genes are closely related to iron death and have great value for the prognosis of renal clear cell carcinoma.

Conclusion

Seven iron death genes can accurately predict the survival of patients with renal clear cell carcinoma.

Tobacco Smoking and Survival Following a Diagnosis with Ovarian Cancer

BACKGROUND

Little is known about the influence of smoking on ovarian cancer survival. We investigated this relationship in a hospital-based study.

METHODS

Analyses included 519 women with ovarian cancer. We used multivariable adjusted Cox proportional hazards regression models to estimate HRs and 95% confidence intervals (CI).

RESULTS

Risk of all-cause mortality was increased for current smokers (HR = 1.70; 95% CI: 1.09-2.63) versus never smokers, especially for those with ≥15 cigarettes per day (HR = 1.92; 95% CI: 1.15-3.20). Results were largely similar after additional adjustment for debulking status (current vs. never smokers, HR = 2.96; 95% CI: 1.07-8.21) or neoadjuvant chemotherapy (comparable HR = 2.87; 95% CI: 1.02-8.06). Compared with never smokers, smoking duration ≥20 years (HR = 1.38; 95% CI: 0.94-2.03) and ≥20 pack-years (HR = 1.35; 95% CI: 0.92-1.99) were suggestively associated with worse outcomes. Current smoking was also positively associated with the risk of mortality among patients with ovarian cancer recurrence (current vs. never/past smokers, HR = 2.79; 95% CI: 1.44-5.41), despite the null association between smoking and recurrence (HR = 1.46; 95% CI: 0.86-2.48). Furthermore, no association was observed for smoking initiation before age 18 (HR = 1.22; 95% CI: 0.80-1.85), or either environmental smoke exposure at home (HR = 1.16; 95% CI: 0.76-1.78) or at work (HR = 1.10; 95% CI: 0.75-1.60).

CONCLUSIONS

Our results suggest active tobacco smoking is associated with worse ovarian cancer outcomes, particularly after a recurrence.

IMPACT

Our findings support structured smoking cessation programs for patients with ovarian cancer, especially in recurrent settings. Further research to confirm these findings and examine the interplay between smoking and the tumor immune microenvironment may help provide insight into ovarian cancer etiology.

Risk and prognosis of second primary cancers among ovarian cancer patients, based on SEER database

The purposes of the present study were to elucidate the risk and prognostic effect of second primary cancers (SPCs) development, as well as the factors influencing the prognosis of OC patients with SPCs. A statistically significant increase in SPCs risk was observed among OC patients during 2004-2015. The independent factors were used to construct the SPCs-prediction nomogram and the OS-prediction nomogram. Both nomogram were subjected to internal validation and performed well. OC patients with SPCs have a better prognosis than patients without SPCs. Propensity score matching (PSM) was applied to reduce confounding.

Frequent PIK3CA mutations in eutopic endometrium of patients with ovarian clear cell carcinoma

Recent studies have reported cancer-associated mutations in normal endometrium. Mutations in eutopic endometrium may lead to endometriosis and endometriosis-associated ovarian cancer. We investigated PIK3CA mutations (PIK3CAm) for three hotspots (E542K, E545K, H1047R) in eutopic endometrium in patients with ovarian cancer and endometriosis from formalin-fixed paraffin-embedded specimens by laser-capture microdissection and droplet digital PCR. The presence of PIK3CAm in eutopic endometrial glands with mutant allele frequency ≥ 15% were as follows: ovarian clear cell carcinoma (OCCC) with PIK3CAm in tumors, 20/300 hotspots in 11/14 cases; OCCC without PIK3CAm, 42/78 hotspots in 11/12 cases; high-grade serous ovarian carcinoma, 8/45 hotspots in 3/5 cases; and endometriotic cysts, 5/63 hotspots in 5/6 cases. These rates were more frequent than in noncancer nonendometriosis controls (7/309 hotspots in 5/17 cases). In OCCC without PIK3CAm, 7/12 (58%) cases showed multiple hotspot mutations in the same eutopic endometrial glands. In 3/54 (5.6%) cases, PIK3CAm was found in eutopic endometrial stroma. Multisampling of the OCCC tumors with PIK3CAm showed intratumor heterogeneity in three of eight cases. In two cases, PIK3CAm was detected in the stromal component of the tumor. Homogenous PIK3CAm in the epithelial component of the tumor matched the mutation in eutopic endometrial glands in only one case. Eutopic endometrial glands in ovarian cancer and endometriosis show high frequency of PIK3CAm that is not consistent with tumors, and multiple hotspot mutations are often found in the same glands. While the mutations identified in eutopic endometrium may not be driver mutations in the patient's cancer, these are still driver mutations but this specific clone has not undergone the requisite steps for the development of cancer.

Uterine angiomyolipoma: a clinical analysis of 8 cases and literature review

PURPOSE

Uterine angiomyolipoma (AML) is a rare condition involving benign tumors composed of varying proportions of blood vessels, fat, and epithelioid or spindled smooth muscle cells. We analyzed the clinicopathological features, diagnosis and treatment methods, and prognosis of uterine AML.

METHODS

We retrospectively analyzed the clinical-pathological data of eight patients with pathologically diagnosed uterine AML at a single center from January 2008 to July 2020.

RESULTS

The mean age of the patients was 50 years (range, 41-62). One patient was asymptomatic; the main clinical manifestations of the others included vaginal bleeding (3), menorrhagia (2), abdominal pain (1), and dysmenorrhea with adenomyosis (1). In one case, fat components observed via abdominal computed tomography led to a diagnosis of uterine leiomyolipoma; the rest were diagnosed as uterine leiomyoma (4), uterine fibroid degeneration (2), and pelvic mass (1). The lesions were in the body of the uterus (6), the fundus of the uterus (1), and the broad ligament (1). Seven patients had a focal soft tumor texture, and one had a tough texture; the lesions were yellow (3), yellow-white (3), and pinkish white (2). Surgeries included transabdominal myomectomy (2), transabdominal hysterectomy (2), transabdominal hysterectomy/bilateral salpingo-oophorectomy (2), and laparoscopic total hysterectomy/bilateral salpingectomy (2). The median follow-up time was 72 months. No relapses were reported.

CONCLUSION

Uterine AML has a low incidence rate and is most likely to occur in perimenopausal women. The clinical manifestations are similar to those of uterine leiomyomas, but AML should be suspected if the internal echo of the uterine tumor is uneven and contains adipose tissue.