Clinical characteristics and overall survival nomogram of second primary malignancies after prostate cancer, a SEER population-based study

AbstractProstate cancer (PCa) is the most prevalent cancer among males and the survival period of PCa has been significantly extended. However, the probability of suffering from second primary malignancies (SPMs) has also increased. Therefore, we downloaded SPM samples from the SEER database and then retrospectively analyzed the general characteristics of 34,891 PCa patients diagnosed between 2000 and 2016. After excluding cases with unknown clinical information, 2203 patients were used to construct and validate the overall survival (OS) nomogram of SPM patients after PCa. We found that approximately 3.69% of PCa patients were subsequently diagnosed with SPMs. In addition, the three most prevalent sites of SPM were respiratory and intrathoracic organs, skin, and hematopoietic system. The top three histological types of SPMs were squamous cell carcinoma, adenoma and adenocarcinoma, nevi and melanoma. Through univariate and multivariate Cox regression analysis, we found that the site of SPM, age, TNM stage, SPM surgery history, and PCa stage were associated with the OS of SPM. By virtue of these factors, we constructed a nomogram to predict the OS of SPM. The C-index in the training set and validation set were 0.824 (95CI, 0.806–0.842) and 0.862 (95CI, 0.840–0.884), respectively. Furthermore, we plotted the receiver operating characteristic curve (ROC) and the area under curve (AUC) which showed that our model performed well in assessing the 3-year (0.861 and 0.887) and 5-year (0.837 and 0.842) OS of SPMs in the training and validation set. In summary, we investigated the general characteristics of SPMs and constructed a nomogram to predict the prognosis of SPM following PCa.

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Prognostic Association between Common Laboratory Tests and Overall Survival in Elderly Men with De Novo Metastatic Castration Sensitive Prostate Cancer: A Population-Based Study in Canada

Cancers ◽

10.3390/cancers13112844 ◽

2021 ◽

Vol 13 (11) ◽

pp. 2844

Author(s):

Christopher J. D. Wallis ◽

Bobby Shayegan ◽

Scott C. Morgan ◽

Robert J. Hamilton ◽

Ilias Cagiannos ◽

...

Keyword(s):

Prostate Cancer ◽

Overall Survival ◽

Clinical Decision Making ◽

Cox Regression ◽

De Novo ◽

Population Based ◽

Population Based Study ◽

Cox Regression Analysis ◽

Lymphocyte Ratio ◽

Laboratory Markers

De novo cases of metastatic prostate cancer (mCSPC) are associated with poorer prognosis. To assist in clinical decision-making, we aimed to determine the prognostic utility of commonly available laboratory-based markers with overall survival (OS). In a retrospective population-based study, a cohort of 3556 men aged ≥66 years diagnosed with de novo mCSPC between 2014 and 2019 was identified in Ontario (Canada) administrative database. OS was assessed by using the Kaplan–Meier method. Multivariate Cox regression analysis was performed to evaluate the association between laboratory markers and OS adjusting for patient and disease characteristics. Laboratory markers that were assessed include neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), albumin, hemoglobin, serum testosterone and PSA kinetics. Among the 3556 older men with de novo mCSPC, their median age was 77 years (IQR: 71–83). The median survival was 18 months (IQR: 10–31). In multivariate analysis, a statistically significant association with OS was observed with all the markers (NLR, PLR, albumin, hemoglobin, PSA decrease, reaching PSA nadir and a 50% PSA decline), except for testosterone levels. Our findings support the use of markers of systemic inflammation (NLR, PLR and albumin), hemoglobin and PSA metrics as prognostic indicators for OS in de novo mCSPC.

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Second Primary Malignancies in Patients with Pancreatic Neuroendocrine Neoplasms: A Population-Based Study on Occurrence, Risk Factors, and Prognosis

Journal of Oncology ◽

10.1155/2021/1565089 ◽

2021 ◽

Vol 2021 ◽

pp. 1-11

Author(s):

Tulan Hu ◽

Wei Wang ◽

Chiyi He

Keyword(s):

Risk Factors ◽

Cox Regression ◽

Latency Period ◽

Population Based ◽

Neuroendocrine Neoplasms ◽

Second Primary ◽

Cox Regression Analysis ◽

Pancreatic Neuroendocrine Neoplasms ◽

Using Data ◽

Second Primary Malignancies

Background. This study aimed to evaluate the risk factors of developing second primary malignancies (SPMs) among patients with pancreatic neuroendocrine neoplasms (pNENs) and the prognosis of pNENs patients with SPMs (pSPMs) using data from the Surveillance, Epidemiology, and End Results (SEER) database. Methods. Data from patients diagnosed with pNENs between 1988 and 2016 were extracted. A case-control study was conducted to investigate the risk factors of developing SPMs among patients with pNENs. Meanwhile, cox regression analysis was also conducted to obtain the independent prognostic factors in pSPMs. Results. Of 7,630 patients with pNENs, 326 developed SPMs. Patients with pNENs who had not undergone surgery and had been diagnosed in recent periods had a higher risk of developing SPMs. The following independent prognostic predictors for pSPMs were identified: age, latency period, SEER stage, radiotherapy, and surgery. Conclusions. These findings may improve the surveillance of risk factors for developing SPMs in patients with pNENs and the prognostic risk factors in pSPMs.

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The risk and prognosis of secondary primary malignancy in lung cancer: a population-based study

Future Oncology ◽

10.2217/fon-2021-0045 ◽

2021 ◽

Author(s):

Jia Hong ◽

Rongrong Wei ◽

Chuang Nie ◽

Anastasiia Leonteva ◽

Xu Han ◽

...

Keyword(s):

Lung Cancer ◽

Overall Survival ◽

Cox Regression ◽

Population Based ◽

Second Primary ◽

Second Primary Malignancy ◽

Risk Models ◽

Primary Malignancy ◽

Population Based Study ◽

Competing Risk Models

Aim: To assess and predict risk and prognosis of lung cancer (LC) patients with second primary malignancy (SPM). Methods: LC patients diagnosed from 1992 to 2016 were obtained through the Surveillance, Epidemiology, and End Results database. Standardized incidence ratios were calculated to evaluate SPM risk. Cox regression and competing risk models were applied to assess the factors associated with overall survival, SPM development and LC-specific survival. Nomograms were built to predict SPM probability and overall survival. Results & conclusion: LC patients remain at higher risk of SPM even though the incidence declines. Patients with SPM have a better prognosis than patients without SPM. The consistency indexes for nomograms of SPM probability and overall survival are 0.605 (95% CI: 0.598–0.611) and 0.644 (95% CI: 0.638–0.650), respectively.

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Identification and Validation of a Prognostic 5-Protein Signature for Biochemical Recurrence Following Radical Prostatectomy for Prostate Cancer

Frontiers in Surgery ◽

10.3389/fsurg.2021.665115 ◽

2021 ◽

Vol 8 ◽

Author(s):

Daojun Lv ◽

Zanfeng Cao ◽

Wenjie Li ◽

Haige Zheng ◽

Xiangkun Wu ◽

...

Keyword(s):

Prostate Cancer ◽

Survival Analysis ◽

Biochemical Recurrence ◽

Cox Regression ◽

Characteristic Curve ◽

The Cancer Genome Atlas ◽

Medical Decision ◽

Regression Analyses ◽

Cox Regression Analysis ◽

Protein Signature

Background: Biochemical recurrence (BCR) is an indicator of prostate cancer (PCa)-specific recurrence and mortality. However, there is a lack of an effective prediction model that can be used to predict prognosis and to determine the optimal method of treatment for patients with BCR. Hence, the aim of this study was to construct a protein-based nomogram that could predict BCR in PCa.Methods: Protein expression data of PCa patients was obtained from The Cancer Proteome Atlas (TCPA) database. Clinical data on the patients was downloaded from The Cancer Genome Atlas (TCGA) database. Lasso and Cox regression analyses were conducted to select the most significant prognostic proteins and formulate a protein signature that could predict BCR. Subsequently, Kaplan–Meier survival analysis and Cox regression analyses were conducted to evaluate the performance of the prognostic protein-based signature. Additionally, a nomogram was constructed using multivariate Cox regression analysis.Results: We constructed a 5-protein-based prognostic prediction signature that could be used to identify high-risk and low-risk groups of PCa patients. The survival analysis demonstrated that patients with a higher BCR showed significantly worse survival than those with a lower BCR (p < 0.0001). The time-dependent receiver operating characteristic curve showed that the signature had an excellent prognostic efficiency for 1, 3, and 5-year BCR (area under curve in training set: 0.691, 0.797, 0.808 and 0.74, 0.739, 0.82 in the test set). Univariate and multivariate analyses indicated that this 5-protein signature could be used as independent prognosis marker for PCa patients. Moreover, the concordance index (C-index) confirmed the predictive value of this 5-protein signature in 3, 5, and 10-year BCR overall survival (C-index: 0.764, 95% confidence interval: 0.701–0.827). Finally, we constructed a nomogram to predict BCR of PCa.Conclusions: Our study identified a 5-protein-based signature and constructed a nomogram that could reliably predict BCR. The findings might be of paramount importance for the prediction of PCa prognosis and medical decision-making.Subjects: Bioinformatics, oncology, urology.

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Prognostic Nomogram Incorporating Immunohistochemical Results for the Overall Survival of Patients with Bladder Cancer.

10.21203/rs.3.rs-24644/v1 ◽

2020 ◽

Author(s):

Tianwei Wang ◽

Yunyan Wang

Keyword(s):

Risk Factors ◽

Overall Survival ◽

Bladder Cancer ◽

Risk Model ◽

Cox Regression ◽

Validation Cohort ◽

Multivariable Analysis ◽

Clinical Information ◽

Internal Validation ◽

Cox Regression Analysis

Abstract Objectives: In this study, we want to combine GATA3, VEGF, EGFR and Ki67 with clinical information to develop and validate a prognostic nomogram for bladder cancer.Methods: A total of 188 patients with clinical information and immunohistochemistry were enrolled in this study, from 1996 to 2018. Univariable and multivariable cox regression analysis was applied to identify risk factors for nomogram of overall survival (OS). The calibration of the nomogram was performed and the Area Under Curve (AUC) was calculated to assess the performance of the nomogram. Internal validation was performed with the validation cohort., the calibration curve and the AUC were calculated simultaneously.Results: Univariable and multivariable analysis showed that age (HR: 2.229; 95% CI: 1.162-4.274; P=0.016), histology (HR: 0.320; 95% CI: 0.136-0.751; P=0.009), GATA3 (HR: 0.348; 95% CI: 0.171-0.709; P=0.004), VEGF (HR: 2.295; 95% CI: 1.225-4.301; P=0.010) and grade (HR: 4.938; 95% CI: 1.339-18.207; P=0.016) remained as independent risk factors for OS. The age, histology, grade, GATA3 and VEGF were included to build the nomogram. The accuracy of the risk model was further verified with the C-index. The C-index were 0.65 (95% CI, 0.58-0.72) and 0.58 (95% CI, 0.46-0.70) in the training and validation cohort respectively. Conclusions: A combination of clinical variables with immunohistochemical results based nomogram would predict the overall survival of patients with bladder cancer.

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Five lncRNAs Associated With Prostate Cancer Prognosis Identified by Coexpression Network Analysis

Technology in Cancer Research & Treatment ◽

10.1177/1533033820963578 ◽

2020 ◽

Vol 19 ◽

pp. 153303382096357

Author(s):

Xiaoyong Gong ◽

Bobin Ning

Keyword(s):

Prostate Cancer ◽

Network Analysis ◽

Cox Regression ◽

Characteristic Curve ◽

Interaction Network ◽

The Cancer Genome Atlas ◽

Cancer Prognosis ◽

Normal Prostate ◽

Cox Regression Analysis ◽

Incidence And Mortality

Prostate cancer (PCa) is a highly malignant tumor, with increasing incidence and mortality rates worldwide. The aim of this study was to identify the prognostic lncRNAs and construct an lncRNA signature for PCa diagnosis by the interaction network between lncRNAs and protein-coding genes (PCGs). The differentially expressed lncRNAs (DElncRNAs) and PCGs (DEPCGs) between PCa and normal prostate tissues were screened from The Cancer Genome Atlas (TCGA) database. The DEPCGs were functionally annotated in terms of the enriched pathways. Weighted gene co-expression network analysis (WGCNA) of 104 PCa samples identified 15 co-expression modules, of which the Turquoise module was negatively correlated with cancer and included 5 key lncRNAs and 47 PCGs. KEGG pathway analyses of the core 47 PCGs showed significant enrichment in classic PCa-related pathways, and overlapped with the enriched pathways of the DEPCGs. LINC00857, LINC00900, LINC00908, LINC00900, SNHG3 and FENDRR were significantly associated with the survival of PCa and have not been reported previously. Finally, Multivariable Cox regression analysis was used to establish a prognostic risk formula, and the patients were accordingly stratified into the low- and high-risk groups. The latter had significantly worse OS compared to the low-risk group (P < 0.01), and the area under the receiver operating characteristic curve (ROC) of 14-year OS was 0.829. The accuracy of our prediction model was determined by calculating the corresponding concordance index (C-index) and risk curves. In conclusion, we established a 5-lncRNA prognostic signature that provides insights into the biological and clinical relevance of lncRNAs in PCa.

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Incidence of Second Primary Malignancies in Patients with Castration-Resistant Prostate Cancer: An Observational Retrospective Cohort Study in the United States

Prostate Cancer ◽

10.1155/2019/4387415 ◽

2019 ◽

Vol 2019 ◽

pp. 1-7 ◽

Cited By ~ 2

Author(s):

Catherine W. Saltus ◽

Zdravko P. Vassilev ◽

Jihong Zong ◽

Brian Calingaert ◽

Elizabeth B. Andrews ◽

...

Keyword(s):

Prostate Cancer ◽

United States ◽

Cohort Study ◽

Incidence Rate ◽

Retrospective Cohort ◽

Population Based ◽

Second Primary ◽

Castration Resistant Prostate Cancer ◽

Castration Resistant ◽

Second Primary Malignancies

Background. New therapies for castration-resistant prostate cancer (CRPC) may be associated with increased risk of second primary malignancies (SPM). We therefore estimated the population-based incidence of SPM among patients with CRPC in the Surveillance, Epidemiology, and End Results (SEER)-Medicare database. We also estimated the proportion of men with CRPC with bone metastases and overall survival. Methods. We conducted a retrospective cohort study of United States (US) men aged ≥ 65 years with CRPC. Cohort entry was from January 1, 2000, to December 31, 2011, with follow-up through December 31, 2013. Castration resistance was defined by treatment with second-line systemic therapy (after surgical or medical castration). SPM were diagnoses of primary cancers (other than prostate) in SEER or Medicare data. Results. Altogether 2,234 patients met eligibility criteria. Most (1,887; 84.5%) had evidence of bone metastases in Medicare claims. SPM occurred in 172 patients (incidence rate 5.9 per 100 person-years; 95% confidence interval [CI], 5.0-6.8; standardized incidence ratio = 3.1, 95% CI, 2.8-3.6, based on SEER incidence rate of all malignancies except prostate cancer among men aged ≥ 65 years). The most common SPM were lung/bronchus (n = 29, 16.9%), urinary bladder (n = 22, 12.8%), and colon/rectum (n = 21, 12.2%). Median survival was 1.2 years (95% CI, 1.1-1.3); 5-year survival was 9% (95% CI, 7-11%). Conclusions. This study provides the first estimate of SPM risk in older men with CRPC in the US. The incidence rate is approximately threefold higher than the population-based cancer incidence among men without prostate cancer.

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Overall survival and second primary malignancies in men with metastatic prostate cancer

PLoS ONE ◽

10.1371/journal.pone.0227552 ◽

2020 ◽

Vol 15 (2) ◽

pp. e0227552 ◽

Cited By ~ 2

Author(s):

Juha Mehtälä ◽

Jihong Zong ◽

Zdravko Vassilev ◽

Gunnar Brobert ◽

Montse Soriano Gabarró ◽

...

Keyword(s):

Prostate Cancer ◽

Overall Survival ◽

Metastatic Prostate Cancer ◽

Second Primary ◽

Second Primary Malignancies

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Patient experience with service quality: Implications for survival outcomes in prostate cancer.

Journal of Clinical Oncology ◽

10.1200/jco.2012.30.34_suppl.39 ◽

2012 ◽

Vol 30 (34_suppl) ◽

pp. 39-39

Author(s):

Christopher G. Lis ◽

Maurie Markman ◽

Mark Rodeghier ◽

Digant Gupta

Keyword(s):

Prostate Cancer ◽

Overall Survival ◽

Regression Analysis ◽

Service Quality ◽

Patient Experience ◽

Cox Regression ◽

Cox Regression Analysis ◽

Risk Of Mortality ◽

Patient Reported

39 Background: Prostate cancer is the second leading cause of cancer death among U.S. men. While self-reported quality of life has been shown to be prognostic of survival, there has been limited exploration of whether a patient’s assessment of the overall quality-of-care received might influence survival in prostate cancer. We evaluated the relationship between patient-reported experience with service quality and overall survival in prostate cancer. Methods: 832 returning prostate cancer patients treated at Cancer Treatment Centers of America between July 2007 and December 2010. Overall patient experience (“considering everything, how satisfied are you with your overall experience?”) was measured on a 7-point Likert scale ranging from “completely dissatisfied” to “completely satisfied”. It was dichotomized into 2 categories: top box response (7) versus all others (1-6). Cox regression was used to evaluate the association between patient experience and survival. Results: 560 patients were newly diagnosed while 272 had been previously treated. Majority of patients (n=570, 68.5%) had stage II disease at diagnosis. The mean age was 63.6 years. By the time of this analysis, 93 (11.2%) patients had expired. 710 (85.3%) patients were “completely satisfied” with the service quality they received while 122 (14.7%) patients were not. Median overall survival was 47.9 months. On univariate Cox regression analysis, “completely satisfied” patients had a significantly lower risk of mortality compared to those not “completely satisfied” (HR=0.48; 95% CI: 0.30-0.78; p=0.003). On multivariate Cox regression analysis controlling for stage at diagnosis, treatment history and age, “completely satisfied” patients demonstrated significantly lower mortality (HR=0.50; 95% CI: 0.29-0.87; p=0.01) compared to those not “completely satisfied”. Conclusions: Patient experience with service quality was an independent predictor of survival in prostate cancer. Based on this provocative observation, it is reasonable to suggest that further exploration of a possible meaningful relationship between patient perceptions of the care they have received and outcome in prostate cancer is indicated.

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Second primary malignancies in gastric cancer: A U.S. population-based study.

Journal of Clinical Oncology ◽

10.1200/jco.2015.33.3_suppl.191 ◽

2015 ◽

Vol 33 (3_suppl) ◽

pp. 191-191

Author(s):

Binay Kumar Shah ◽

Amit Khanal

Keyword(s):

Breast Cancer ◽

Prostate Cancer ◽

Gastric Cancer ◽

Thyroid Cancer ◽

Myeloid Leukemia ◽

Population Based ◽

Second Primary ◽

Population Based Study ◽

Gastrointestinal Malignancies ◽

Second Primary Malignancies

191 Background: Risk of second primary malignancies (SPM) is not known in gastric cancer. In this population based study, we analyzed rates of SPM in gastric cancer. Methods: We selected adult (≥18 years) patients with gastric cancer as first primary malignancy diagnosed from January 1992 to December 2011 from Surveillance, Epidemiology and End Result 13 database. We used SEER*stat’s multiple primary standardized incidence ratio (MP-SIR) session to calculate the risk of SPM diagnosed 6 months after the diagnosis of index gastric cancer. Results: Among 31,818 patients with first primary gastric cancer, 1674 (5.26%) developed 1,839 SPM with observed/expected (O/E) ratio of 1.09 (95% CI = 1.05-1.15, p<0.0001) and excess risk of 16.15 per 10,000 population. The median time to first SPM from the time of diagnosis of stomach cancer was 49 months (range 6 months to 19.08 years). There was significantly increased risk of gastrointestinal malignancies [O/E ratio 1.65 (CI=1.53-1.79, p<0.001)], thyroid cancer [O/E ratio 1.98 (CI=1.32-2.84, p<0.01)] and myeloid leukemia [O/E ratio 1.47(CI=1-2.09, p<0.05)]. Interestingly, there was significantly decreased risk of melanoma, breast cancer and prostate cancer. Conclusions: Our study showed that patients with gastric cancer are at higher risk of gastrointestinal malignancies, thyroid cancer and myeloid leukemia. Similarly, risk of melanoma, breast cancer and prostate cancer in patients with gastric cancer is lower than general population.

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