IKIsaac Kinde

Isaac Kinde

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Isaac Kinde has a total of 58 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Correction: Non-invasive detection of urothelial cancer through the analysis of driver gene mutations and aneuploidy

    by Simeon U Springer, Chung-Hsin Chen, Maria Del Carmen Rodriguez Pena, Lu Li, Christopher Douville, Yuxuan Wang, Joshua David Cohen, Diana Taheri, Natalie Silliman, Joy Schaefer, et al.

    Springer SU, Chen C-H, Rodriguez Pena MDC, Li L, Douville C, Wang Y, Cohen JD, Taheri D, Silliman N, Schaefer J, Ptak J, Dobbyn L, Papoli M, Kinde I, Afsari B, Tregnago AC, Bezerra SM, VandenBussche C, Fujita K, Ertoy D, Cunha IW, Yu L, Bivalacqua TJ, Grollman AP, Diaz LA, Karchin R, Danilova L, Huang C-Y, Shun C-T, Turesky RJ, Yun BH, Rosenquist TA, Pu Y-S, Hruban RH, Tomasetti C, Papadopoulos N, Kinzler KW, Vogelstein B, Dickman KG, Netto GJ. 2018. Non-invasive detection of urothelial cancer through the analysis of driver gene mutations and aneuploidy. eLife 7:e32143. doi: 10.7554/eLife.32143.


  • Top Cited Papers
    Open Access

    Non-invasive detection of urothelial cancer through the analysis of driver gene mutations and aneuploidy

    by Simeon U Springer, Chung-Hsin Chen, Maria Del Carmen Rodriguez Pena, Lu Li, Christopher Douville, Yuxuan Wang, Joshua David Cohen, Diana Taheri, Natalie Silliman, Joy Schaefer, et al.

    Current non-invasive approaches for detection of urothelial cancers are suboptimal. We developed a test to detect urothelial neoplasms using DNA recovered from cells shed into urine. UroSEEK incorporates massive parallel sequencing assays for mutations in 11 genes and copy number changes on 39 chromosome arms. In 570 patients at risk for bladder cancer (BC), UroSEEK was positive in 83% of those who developed BC. Combined with cytology, UroSEEK detected 95% of patients who developed BC. Of 56 patients with upper tract urothelial cancer, 75% tested positive by UroSEEK, including 79% of those with non-invasive tumors. UroSEEK detected genetic abnormalities in 68% of urines obtained from BC patients under surveillance who demonstrated clinical evidence of recurrence. The advantages of UroSEEK over cytology were evident in low-grade BCs; UroSEEK detected 67% of cases whereas cytology detected none. These results establish the foundation for a new non-invasive approach for detection of urothelial cancer.


  • Open Access

    Non-invasive detection of upper tract urothelial carcinomas through the analysis of driver gene mutations and aneuploidy in urine

    by Simeon U. Springer, Chung-Hsin Chen, Lu Li, Christopher Douville, Yuxuan Wang, Josh Cohen, Bahman Afsari, Ludmila Danilova, Natalie Silliman, Joy Schaeffer, et al.

    Upper tract urothelial carcinomas (UTUC) of the renal pelvis or ureter can be difficult to detect and challenging to diagnose. Here, we report the development and application of a non-invasive test for UTUC based on molecular analyses of DNA recovered from cells shed into the urine. The test, called UroSEEK, incorporates assays for mutations in eleven genes frequently mutated in urologic malignancies and for allelic imbalances on 39 chromosome arms. At least one genetic abnormality was detected in 75% of urinary cell samples from 56 UTUC patients but in only 0.5% of 188 samples from healthy individuals. The assay was considerably more sensitive than urine cytology, the current standard-of-care. UroSEEK therefore has the potential to be used for screening or to aid in diagnosis in patients at increased risk for UTUC, such as those exposed to herbal remedies containing the carcinogen aristolochic acid.


  • Open Access

    Non-invasive detection of bladder cancer through the analysis of driver gene mutations and aneuploidy

    by Simeon U. Springer, Maria Del Carmen Rodriguez Pena, Lu Li, Christopher Douville, Yuxuan Wang, Josh Cohen, Diana Taheri, Bahman Afsari, Natalie Silliman, Joy Schaeffer, et al.

    Current non-invasive approaches for bladder cancer (BC) detection are suboptimal. We report the development of non-invasive molecular test for BC using DNA recovered from cells shed into urine. This “UroSEEK” test incorporates assays for mutations in 11 genes and copy number changes on 39 chromosome arms. We first evaluated 570 urine samples from patients at risk for BC (microscopic hematuria or dysuria). UroSEEK was positive in 83% of patients that developed BC, but in only 7% of patients who did not develop BC. Combined with cytology, 95% of patients that developed BC were positive. We then evaluated 322 urine samples from patients soon after their BCs had been surgically resected. UroSEEK detected abnormalities in 66% of the urine samples from these patients, sometimes up to 4 years prior to clinical evidence of residual neoplasia, while cytology was positive in only 25% of such urine samples. The advantages of UroSEEK over cytology were particularly evident in low-grade tumors, wherein cytology detected none while UroSEEK detected 67% of 49 cases. These results establish the foundation for a new, non-invasive approach to the detection of BC in patients at risk for initial or recurrent disease.


  • Open Access

    FAST-SeqS: A Simple and Efficient Method for the Detection of Aneuploidy by Massively Parallel Sequencing

    by Isaac Kinde, Nickolas Papadopoulos, Kenneth W. Kinzler, Bert Vogelstein

    Massively parallel sequencing of cell-free, maternal plasma DNA was recently demonstrated to be a safe and effective screening method for fetal chromosomal aneuploidies. Here, we report an improved sequencing method achieving significantly increased throughput and decreased cost by replacing laborious sequencing library preparation steps with PCR employing a single primer pair designed to amplify a discrete subset of repeated regions. Using this approach, samples containing as little as 4% trisomy 21 DNA could be readily distinguished from euploid samples.