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

Meta-analysis of the Relationship between Type 2 Diabetes Mellitus and Renal Cancer Risk

OBJECTIVE

This study aimed to investigate the relationship between type 2 diabetes mellitus and the risk of renal cancer.

METHODS

A search was carried out on PubMed, Embase, Web of Science, China Biology Medicine disc (CBM), China National Knowledge Infrastructure (CNKI), Wanfang and other databases. The search period was from 2000 to 2022. The two authors independently conducted literature screening, extracted literature data, and then conducted a literature quality evaluation. The type of study is a cohort study. Meta-analysis was carried out on the included literature through Stata12.0 software, and the combined value was calculated with RR value and 95% confidence interval. Subgroup analysis was carried out to explore the impact of different factors on the overall results.

RESULTS

A total of 10 articles were included. Through cohort study, the meta-analysis on the risk of type 2 diabetes and renal cancer showed that the combined effect value Risk Ratio (RR) = 1.57 with 95% Confidence Intervals (CI) (1.36, 1.82) and P<0.05. The difference had a significant impact, indicating that the risk of renal cancer in type 2 diabetes patients was 1.55 times higher than that in non-type 2 diabetes patients. The subgroup analysis showed that the combined effect value RR and 95% CI for men was 1.49 (1.26, 1.75), and the combined effect value RR and 95% CI for women was 1.60 (1.35, 1.88), which was basically consistent.

CONCLUSION

Type 2 diabetes can significantly increase the risk of renal cell carcinoma, and the former is a risk factor for the latter. It is suggested that multi-center studies with larger sample sizes should be conducted in the future, and adjustments should be made according to the type of diabetes, the source of the study population, the pathological type of renal cell carcinoma, the use of hypoglycemic drugs, and other factors, to provide a reliable basis for the study of the relationship between diabetes and renal cell carcinoma. At present, the specific mechanism of diabetes increasing the risk of renal cell carcinoma and whether diabetes increases mortality due to renal cell carcinoma is still unclear and needs further research.

Influence factors of the survival in colorectal cancer patients with second primary malignancy after surgery: A SEER database analysis

The survival rate is significantly reduced in patients with colorectal cancer (CRC) who developing a second primary malignancy (SPM), and however, little has known about the factors that contribute to the mortality of SPMs among CRC survivors. This study aims to explore the influence factors in both the all-cause and cancer-specific mortality of patients with SPMs after CRC surgery. Data of adult CRC patients with SPMs were extracted from the Surveillance, Epidemiology, and End Results (SEER) database in this retrospective cohort study. The associations between potential influence factors and all-cause mortality and cancer-specific mortality were explored using univariate and multivariate Cox proportional hazards analyses. The evaluation indexes were hazard ratios (HRs), and 95% confidence intervals (CIs). We also drew pie charts to respectively reflect the distributions of SPMs sites and time interval in study population. A total of 1202 (56.14%) patients died for all-cause, and 464 (21.67%) died due to CRC. The results showed that after adjusting for covariates, age, sex, marital status, T stage of CRC, second primary cancer site, stage of SPMs, grade of SPMs, TNM stage of SPMs, and time interval were associated with all-cause mortality, while marital status, stage of CRC, T stage of CRC, chemotherapy, second primary cancer site, stage of SPMs, grade of SPMs, TNM stage of SPMs, and time interval were associated with cancer-specific mortality in patients with CRC. In addition, colon (23.5%) was the most common site of SPMs, followed by digestive system (19.0%), and the time interval between CRC and SPMs in most patients was over 5 years (28.4%). Our findings may assist clinicians to identify high-risk patients for SPMs after CRC surgery. Also, the postoperative long-term follow-up and close attention on the key systems where the SPMs may occur are of great necessary in patients with CRC.

Second-Line Treatment of Metastatic Renal Cell Carcinoma in the Era of Predictive Biomarkers

BACKGROUND

Over the past few years, significant advancements have been achieved in the front-line treatment of metastatic renal cell carcinomas (mRCCs). However, most patients will eventually encounter disease progression during this front-line treatment and require further therapeutic options. While treatment choices for mRCCs patients are determined by established risk classification models, knowledge of prognostic factors in subsequent line therapy is essential in patient care.

METHODS

In this retrospective, single-center study, patients diagnosed with mRCCs who experienced progression after first-line therapy were enrolled. Fifteen factors were analyzed for their prognostic impact on survival using the Kaplan-Meier method and the Cox proportional hazards model.

RESULTS

Poor International Metastatic RCCs Database Consortium (IMDC) and Memorial Sloan-Kettering Cancer Center (MSKCC) risk scores, NLR value > 3, clinical benefit < 3 months from a therapeutic line, and the presence of sarcomatoid differentiation were found to be poor independent prognostic factors for shortened overall survival.

CONCLUSIONS

This study provided new insights into the identification of potential prognostic parameters for late-line treatment in mRCCs. The results indicated that good IMDC and MSKCC prognostic scores are effective in second-line therapy. Moreover, patients with NLR < 3, no sarcomatoid differentiation, and clinical benefit > 3 months experienced significantly longer overall survival.

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

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.

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

Background

To propose a quantitative model for predicting the surgical complexity of patients with renal cell carcinoma (RCC) and venous tumor thrombus (VTT).

Method

The 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.

Results

As 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.

Conclusion

The 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.

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

Background

As 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.

Objective

Our study aimed to explore the mortality patterns of contemporary RCC survivors.

Methods

We 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.

Results

A 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).

Conclusions

Non-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.