Tagged: Bladder Cancer

Biomarkers May Predict Neoadjuvant Chemosensitivity in Bladder Cancer

November 15, 2022

In a new study, researchers aimed to identify and validate predictive biomarkers of response to neoadjuvant chemotherapy (NAC) in patients with muscle-invasive bladder cancer (MIBC).

Biomarkers May Predict Neoadjuvant Chemosensitivity in Bladder Cancer

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Neoadjuvant chemotherapy (NAC) is a type of cancer treatment involving the administration of chemotherapy drugs before surgery. The goal of NAC is to shrink the tumor(s) in order to make it/them easier to remove during surgery and to decrease the chance of cancer recurrence after treatment. NAC is typically well tolerated by patients and has been shown to improve outcomes in patients with bladder cancer.

Predictive biomarkers are being increasingly used in oncology to identify patients who are likely to respond to chemotherapy. In the past, the decision to administer chemotherapy was based on tumor type and stage. However, it is now understood that there is considerable heterogeneity within these groups, and that not all patients will respond to the same treatment. Predictive biomarkers can help to overcome this challenge by identifying those patients who are most likely to benefit from chemotherapy.

There are a number of different types of predictive biomarkers, which can be divided into two broad categories: tumor biomarkers and host biomarkers. Tumor biomarkers are usually specific to the tumor type and can include markers of cell proliferation and DNA repair. Host biomarkers are usually found in the blood or other bodily fluids and can include markers of inflammation, immune function and metabolism. The use of predictive biomarkers has the potential to improve the efficacy of chemotherapy and reduce toxicity by avoiding its use in patients who are unlikely to benefit.

The Study

In a new study, researchers Neal Murphy, Andrew J. Shih, Paras Shah, Oksana Yaskiv, Houman Khalili, Anthony Liew, Annette T. Lee, and Xin-Hua Zhu from Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health Cancer Institute, Feinstein Institutes for Medical Research, and Mayo Clinic aimed to develop and validate a predictive biomarker panel for response to NAC in patients with muscle-invasive bladder cancer (MIBC). Their research paper was published on November 2, 2022, in Oncotarget’s Volume 13, entitled, “Predictive molecular biomarkers for determining neoadjuvant chemosensitivity in muscle invasive bladder cancer.”

“The NAC non-responders suffer from unnecessary adverse effects and a delay in time to cystectomy leading to worse overall survival [9, 10]. Subsequently, there remains a critical need to understand the molecular biology behind NAC responsiveness, in order to better tailor individual NAC therapy.”

The purpose of this research was to “develop a molecular signature that can identify MIBC NAC responders (R) and non-responders (NR) using a cohort of known NAC response phenotypes, and better understand differences in molecular pathways and subtype classifications between NAC R and NR.” Researchers identified a total of 26 patients with known NAC response for inclusion in this study. These patients were assigned at random to either the discovery or validation cohort. The discovery cohort consisted of seven NAC responders and 11 non-responders. The validation cohort consisted of three responders and five non-responders.

Transurethral resection of bladder tumor (TURBT) specimens from the Northwell Health pathology department were received as formalin-fixed, paraffin-embedded (FFPE) tissue blocks. Pathologic response was determined at the time of cystectomy. Messenger RNA (mRNA) and microRNA (miRNA) from the FFPE blocks were sequenced using RNAseq and qPCR, respectively.

“To our knowledge, our study is the first to use combined differential mRNA and miRNA expression in MIBC to identify a NAC response signature.”

The Results

“We report significant gene sets associated with NAC response phenotype, as well as three multigene and miRNA signatures generated by CCA that can be used to potentially classify NAC response.”

In the discovery cohort, the researchers found that 2309 genes were differentially expressed between the NAC responders and non-responders. In the validation cohort, 602 genes and 13 miRNA were differentially expressed. Canonical correlation (CC) analysis found that three CCs (CC13: nucleoside triphosphate metabolic process; CC16: cell cycle and cellular response to DNA damage; and CC17: DNA packaging complex) were differentiated in the discovery and validation datasets. As far as MIBC subtypes, the MD Anderson p53-like subtype, CIT MC4 subtype and Consensus Class stroma-rich subtype had the strongest correlation with a non-responder phenotype. There were no subtypes that had strong correlations with the responder phenotype.

“In conclusion, our results identify molecular signatures that can be used to differentiate MIBC NAC responders versus non-responders. We have presented the salient molecular pathways and relevant genes, including mitochondrial response gene expression (MRPS12, MRPS34, MRPS28, MRPS14, and MRPS2), DNA replication initiation, and DNA unwinding and DNA damage (MCM2-3, MCM5-6 and XAP , ELK4, and FOXA3) that can be further analyzed to better understand NAC response. The above mentioned genes derived from their respective three pathways may be selected as part of a NAC response biomarker panel. In addition, we have highlighted the utility of molecular subtyping in relation to NAC response. If validated in a larger cohort, these findings may help deliver chemotherapy to those patients most likely to respond.”

Conclusion

Neoadjuvant chemotherapy is a promising treatment option for muscle-invasive bladder cancer patients, however, there is a class of patients who do not respond to chemotherapy. The results of this study implicate several different types of biomarkers that may be associated with chemosensitivity in MIBC patients. Further research is needed to validate these findings. Ultimately, if validated, these biomarkers could help to spare non-responders from side effects associated with ineffective and unnecessary chemotherapy.

“Our results identify molecular signatures that can be used to differentiate MIBC NAC R versus NR, salient molecular pathway differences, and highlight the utility of molecular subtyping in relation to NAC response.”

Click here to read the full research paper published by Oncotarget.

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Gene Variants Investigated in Polish Bladder and Kidney Cancer

April 28, 2022

Two gene variants were studied in large-scale cohorts for their potential roles in bladder and kidney cancer among Polish patients.

Genitourinary cancers are a group of cancers that affect components of the urinary tract, including the bladder and kidneys. Worldwide, bladder and kidney cancer impact men at disproportionately higher rates than women. While incidence and mortality rates of bladder cancer in most western European countries have been consistently decreasing, some countries in the region, such as Poland, have seen an increase. Bladder cancer is the 4th most common malignancy in Polish men and the 14th most common malignancy in Polish women. There is currently a need to identify more effective bladder cancer biomarkers and therapeutic targets to develop new effective treatments that improve patient outcomes.

“The association between the NOD2 c.3020insC allele and CDKN2A missense variant c.442G>A (p.P.A148T) and survival of patients with bladder or kidney cancer remains controversial.”

In April of 2022, researchers from Pomeranian Medical University, University of Newcastle and NSW Health Pathology published the first larger-scale study in Poland to describe the clinical characteristics and survival of bladder cancer patients and kidney cancer patients associated with variants in NOD2 and CDKN2A. Their research paper was published in Oncotarget on April 22, 2022, and entitled, “Bladder cancer survival in patients with NOD2 or CDKN2A variants.”

The Study

In this study, the researchers investigated two gene variants—the NOD2 c.3020insC variant and the CDKN2A p.A148T polymorphism—and their role in bladder and kidney cancer in Polish cohorts. This NOD2 variant has been shown to occur in 7.3% of the Polish population. The CDKN2A polymorphism has been found in 3.5% of the Polish population. Therefore, these gene variants could be considered genetic risk factors for cancer. To test this hypothesis, the researchers assembled detailed participant data from a cohort of 706 bladder cancer patients and 410 kidney cancer patients. The team compiled control data from over 5,000 unselected, cancer-free individuals.

“To our knowledge, this is the first larger-scale study describing the clinical characteristics and survival of bladder and kidney cancer patients that is associated with the NOD2 c.3020insC allele and the CDKN2A p.A148T polymorphism in Poland.”

After performing the variant analysis in the cohort of Polish patients with bladder cancer, the team found that 8.9% of these patients carried the NOD2 variant and 5.2% carried the CDKN2A variant. However, their analysis revealed that neither the NOD2 nor the CDKN2A variant played a significant role in the survival of patients with bladder cancer. In performing the variant analysis in the cohort of Polish patients with kidney cancer, they found that 7.3% of these patients carried the NOD2 variant and 3.4% carried the CDKN2A variant. The researchers did not observe any statistically significant relationship between kidney cancer and either variant. However, they were not able to perform a survival analysis in the kidney cancer cohort.

Conclusion

The researchers found that the NOD2 c.3020insC variant and the CDKN2A p.A148T polymorphism were not significantly associated with the survival of bladder cancer patients, regardless of age, cancer family history, smoking status, and sex. To date, this is the first larger-scale study to examine these variants in association with clinical characteristics and survival of Polish patients with bladder cancer.

“In summary, the results of this study indicate that neither the NOD2 c.3020insC variant or the CDKN2A p.A148T polymorphism are associated with the survival of bladder cancer patients regardless of age, cancer family history, smoking status, and sex. Thus, the NOD2 c.3020insC or the CDKN2A p.A148T polymorphism cannot be added to the list of genes that are associated with an increased susceptibility to bladder or kidney cancer at this time.”

Click here to read the full research paper published by Oncotarget.

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Oncotarget

Trending With Impact: Novel Biomarkers in Bladder Cancer

June 4, 2021

Researchers from the University of Houston and UT Southwestern Medical Center conducted a study which aimed to screen urine for potentially useful protein biomarkers of bladder cancer.

The Trending with Impact series highlights Oncotarget publications attracting higher visibility among readers around the world online, in the news, and on social media—beyond normal readership levels. Look for future science news about the latest trending publications here, and at Oncotarget.com.

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Bladder cancer is four times more common among men than women, and it is the sixth most common cancer diagnosis in the United States. However, researchers have found that cystoscopy—the primary method physicians use to diagnose patients with bladder cancer—is relatively invasive, expensive, and has the potential to cause urinary tract infections.

“In contrast, urine is a noninvasive and readily available biological fluid that can be used for diagnostic tests.”

In 2021, researchers from the University of H ouston and UT Southwestern Medical Center conducted a study which aimed to screen urine for possibly useful protein biomarkers of bladder cancer. The paper they authored was published in Oncotarget’s Volume 12, Issue 8, and entitled: “Urine protein biomarkers of bladder cancer arising from 16-plex antibody-based screens.”

“Urine biomarkers could potentially provide preliminary confirmation of low-grade BC [bladder cancer] before invasive procedures are performed and facilitate surveillance of BC, as reviewed [9].”

The Study

Patients may benefit in a number of different ways by using urine as fluid in diagnostic testing for bladder cancer. Urine is readily bioavailable, non-invasive, and it can also be collected and tested on a regular basis. Patients can even use various cost-effective point-of-care diagnostic tools, including at-home testing. First, the researchers assessed whether there were useful biomarkers of bladder cancer to be found in this fluid. The team used Luminex screening to test for both low and high levels of 16 proteins utilizing highly specific antibody-protein interactions.

“In this study, Luminex screening was used to simultaneously assay the protein abundances of 16 potential biomarkers in different stages of bladder cancer and then compared to urology clinic controls.”

ELISA validation was then used to determine which proteins were significantly elevated in bladder cancer. They found that levels of three urine proteins were capable of distinguishing between control and bladder cancer urine. One protein was also found to be capable of discriminating between high- and low-grade disease, and the successive clinical stages of bladder cancer.

“Upon ELISA validation, urine IL-1α, IL-1ra, and IL-8 were able to distinguish control urine from urine drawn from various bladder cancer stages, with IL-8 being the best discriminator.”

Conclusion

“These studies indicate that urine IL-1α, IL-1ra, and IL-8 are potential biomarkers of BC, two of which re-affirm previous reports.”

The researchers note that these newer urine biomarkers must be analyzed in larger cohorts, in specific clinical contexts, and compared to the performance of current diagnostic tools, such as the Bladderchek and UroVysion FISH assay.

“Looking forward, systematic studies in larger patient cohorts are warranted to establish the specific clinical contexts in which these markers may be used, including the following: (i) for initial diagnosis of BC, (ii) for surveillance of tumor recurrence, and/or (ii) for assessing treatment response following BCG therapy or other therapeutic modalities.”

Click here to read the full scientific study, published by Oncotarget.

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