Standardized Incidence Rate, Risk and Survival Outcomes of Second Primary Malignancy Among Renal Cell Carcinoma Survivors: A Nested Case-Control Study

Wang, Zhixian; Yin, Yisheng; Wang, Jing; Zhu, Yunpeng; Li, Xing; Zeng, Xiaoyong

doi:10.3389/fonc.2021.716741

Cited by 7 publications

(9 citation statements)

References 41 publications

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“…TNM stage is an important predictor of cancer outcomes. Consistent with prior studies in other cancers [ 33 – 35 ], we found that late-stage (III + IV) SPM was associated with poor survival in BC patients with SPM. One reason for this result may be a delayed diagnosis of SPM in that patients diagnosed with late-stage SPM may not receive early detection and comprehensive treatment in a timely manner [ 36 ].…”

Section: Discussionsupporting

confidence: 92%

Predictive models for overall survival in breast cancer patients with a second primary malignancy: a real-world study in Shanghai, China

Yuan

Chen

et al. 2022

BMC Women's Health

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Background The incidents of second primary malignancy (SPM) is increasing among breast cancer (BC) patients with long-term progression, adversely affecting survival. The purpose of this study was to screen independent overall survival (OS) risk factors and establish nomograms to predict the survival probabilities of BC patients with SPM. Method A total of 163 BC patients with SPM were recruited during 2002–2015 from a total of 50 hospitals in Shanghai, China. Two nomograms to predict survival from primary BC and SPM diagnosis were constructed based on independent factors screened from multivariable analysis. The calibration and discrimination of nomograms were calculated in the training and validation cohorts. Results The overall survival rates of BC patients with SPM were 88.34%, 64.42% and 54.66% at 5, 10 and 15 years, respectively. Factors of late TNM stage of SPM (HR = 4.68, 95% CI 2.14–10.25), surgery for SPM (HR = 0.60, 95% CI 0.36–1.00), SPM in the colon and rectum (HR = 0.49, 95% CI 0.25–0.98) and thyroid (HR = 0.08, 95% CI 0.01–0.61) independently affected the OS of BC patients with SPM (p < 0.05). In addition, a longer latency (≥ 5 years) was associated with better OS from BC diagnosis (p < 0.001). Older age (≥ 56) was associated with poor OS from SPM diagnosis (p = 0.019). Two nomograms established based on the above factors had better calibration and discrimination. Conclusion The TNM stage of SPM, surgery for SPM, SPM sites, latency and age at BC diagnosis are independent factors for survival and the two nomograms may provide more personalized management for BC patients with SPM.

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Section: Discussionsupporting

confidence: 92%

Predictive models for overall survival in breast cancer patients with a second primary malignancy: a real-world study in Shanghai, China

Yuan

Chen

et al. 2022

BMC Women's Health

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“…Several studies have described the causes of death in patients with RCC. However, these studies were not compared with the risk in the general population, either based on small sample studies, or limited to secondary primary tumors, and the classification of the cause of death is not detailed enough ( 10 – 12 ). To address these limitations, we assessed contemporary, population-based data on the causes of death during RCC survivorship.…”

Section: Introductionmentioning

confidence: 99%

Cause of Death During Renal Cell Carcinoma Survivorship: A Contemporary, Population-Based Analysis

Chen²,

Wu³

et al. 2022

Front. Oncol.

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BackgroundAs the survival rates of patients with renal cell carcinoma (RCC) continue to increase, noncancer causes of death cannot be ignored. The cause-specific mortality in patients with RCC is not well understood.ObjectiveOur study aimed to explore the mortality patterns of contemporary RCC survivors.MethodsWe performed a retrospective cohort study involving patients with RCC from the Surveillance, Epidemiology, and End Results (SEER) database. We used standardized mortality ratios (SMRs) to compare the death rates in patients with RCC with those in the general population.ResultsA total of 106,118 patients with RCC, including 39,630 who died (27%), were included in our study. Overall, compared with the general US population, noncancer SMRs were increased 1.25-fold (95% confidence intervals [CI], 1.22 to 1.27; observed, 11,235), 1.19-fold (95% CI, 1.14 to 1.24; observed, 2,014), and 2.24-fold (95% CI, 2.11 to 2.38; observed, 1,110) for stage I/II, III, and IV RCC, respectively. The proportion of noncancer causes of death increased with the extension of survival time. A total of 4,273 men with stage I/II disease (23.13%) died of RCC; however, patients who died from other causes were 3.2 times more likely to die from RCC (n = 14,203 [76.87%]). Heart disease was the most common noncancer cause of death (n = 3,718 [20.12%]; SMR, 1.23; 95% CI, 1.19–1.27). In patients with stage III disease, 3,912 (25.98%) died from RCC, and 2,014 (13.37%) died from noncancer causes. Most patients (94.99%) with stage IV RCC died within 5 years of initial diagnosis. Although RCC was the leading cause of death (n = 12,310 [84.65%]), patients with stage IV RCC also had a higher risk of noncancer death than the general population (2.24; 95% CI, 2.11–2.38).ConclusionsNon-RCC death causes account for more than 3/4 of RCC survivors among patients with stage I/II disease. Patients with stage IV are most likely to die of RCC; however, there is an increased risk of dying from septicemia, and suicide cannot be ignored. These data provide the latest and most comprehensive assessment of the causes of death in patients with RCC.

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“…Some studies have shown genetic factors, unhealthy lifestyle (tobacco smoking, alcohol consumption, physical inactivity), obesity, hypertension, diabetes, chronic kidney disease, environmental factors, and chemical exposure (trichloroethylene, aristolochic acid, etc.) are associated with RCC ( 3 ). Advances in screening programs and techniques allow more patients to be detected and treated in the early stage, and locally advanced or metastatic cases are no longer considered noncurable.…”

Section: Introductionmentioning

confidence: 99%

“…Advances in screening programs and techniques allow more patients to be detected and treated in the early stage, and locally advanced or metastatic cases are no longer considered noncurable. As a result, the overall 5-year survival rate for RCC has increased from 46.8% in 1977 to 76% in 2020 in the USA ( 3 , 4 ).…”

Section: Introductionmentioning

confidence: 99%

T.H.R.O.B.V.S. Score – A Comprehensive Model to Predict the Surgical Complexity of Renal Cell Carcinoma With Tumor Thrombus

et al. 2022

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BackgroundTo propose a quantitative model for predicting the surgical complexity of patients with renal cell carcinoma (RCC) and venous tumor thrombus (VTT).MethodThe clinical data of 226 cases of RCC with VTT in Peking University Third Hospital from January 2014 to August 2020 were retrospectively analyzed. Seven indicators were selected to establish the T.H.R.O.B.V.S. system, including alkaline phosphatase, tumor thrombus height, maximum tumor diameter, obesity, bland thrombus, vascular wall invasion, and side. Each indicator was assigned with 0, (1), and 2 points, and the total scores of 0~2, 3~5, and ≥6 were set as the low-, middle-, and high-risk groups, respectively. The surgical complexity was compared and validated among groups.ResultsAs the risk increased, the proportion of open surgery significantly increased (P<0.001). The operation time (P<0.001), intraoperative blood loss (P<0.001), blood or plasma transfusion (P<0.001), and hospitalization (P<0.001) increased significantly. The postoperative complications (P<0.001), including notable complications (≥Clavein-Dindo II, P<0.001), were significantly different, and similar trends were shown in the validation group.ConclusionThe T.H.R.O.B.V.S. scoring system is a quantifiable and satisfactory model to predict the surgical complexity and perioperative management of RCC with VTT.

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Standardized Incidence Rate, Risk and Survival Outcomes of Second Primary Malignancy Among Renal Cell Carcinoma Survivors: A Nested Case-Control Study

Cited by 7 publications

References 41 publications

Predictive models for overall survival in breast cancer patients with a second primary malignancy: a real-world study in Shanghai, China

Predictive models for overall survival in breast cancer patients with a second primary malignancy: a real-world study in Shanghai, China

Cause of Death During Renal Cell Carcinoma Survivorship: A Contemporary, Population-Based Analysis

T.H.R.O.B.V.S. Score – A Comprehensive Model to Predict the Surgical Complexity of Renal Cell Carcinoma With Tumor Thrombus

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