Urothelial carcinoma in situ response to cisplatin-based neoadjuvant chemotherapy, or lack thereof: Impact on patient selection for organ preservation in muscle-invasive disease?

Teaching cancer imaging in the era of precision medicine: Looking at the big picture

The role of imaging in cancer diagnosis and treatment has evolved at the same rapid pace as cancer management. Over the last twenty years, with the advancement of technology, oncology has become a multidisciplinary field that allows for researchers and clinicians not only to create individualized treatment options for cancer patients, but also to evaluate patients’ response to therapy with increasing precision. Familiarity with these concepts is a requisite for current and future radiologists, as cancer imaging studies represent a significant and growing component of any radiology practice, from tertiary cancer centers to community hospitals.

In this review we provide the framework to teach cancer imaging in the era of genomic oncology. After reading this article, readers should be able to illustrate the basics cancer genomics, modern cancer genomics, to summarize the types of systemic oncologic therapies available, their patterns of response and their adverse events, to discuss the role of imaging in oncologic clinical trials and the role of tumor response criteria and to display the future directions of oncologic imaging.

Impact of carcinoma in situ on survival of patients treated by adjuvant chemotherapy after cystectomy

INTRODUCTION

Factors predicting response to adjuvant chemotherapy (AC) are required to identify patients who will most benefit from it. The aim of this study was to evaluate the impact of carcinoma in situ (CIS) at radical cystectomy (RC) on recurrence free survival (RFS), cancer specific survival (CSS) and overall survival (OS) of patients treated by AC.

MATERIALS AND METHODS

A single-center retrospective study was performed on patients who received AC after RC without pre-RC chemotherapy or trimodal therapy.

RESULTS

Among the 150 patients analyzed, 52,7% had CIS on the RC specimens. Baseline characteristics were not significantly different between the CIS negative and positive groups. Most patients received a cisplatin-based AC (74%). The median follow-up of the cohort was 36,4 months. The presence of CIS was not significantly associated to disease-recurrence (OR=0.67; 95%CI=0.35-1.29; P=0.23), cancer related death (OR=0.70; 95%CI=0.36-1.33; P=0.27) or death by any cause (OR=0.80; 95%CI=0.42-1.52; P=0.50). The presence of CIS had no significant impact on RFS (HR=0.86; 95%CI=0.56-1.33; P=0.49), CSS (HR=0.85; 95%CI=0.53-1.36; P=0.50) or OS (HR=0.93; 95%CI=0.60-1.45; P=0.74).

CONCLUSION

The presence of CIS on RC specimens did not have an impact on survival of patients treated by AC. CIS could be evaluated as a prognostic factor of response to novel adjuvant regimens such as immunotherapy.

Angiogenesis related gene expression significantly associated with the prognostic role of an urothelial bladder carcinoma

Background

Bladder urothelial carcinoma (BLCA) is still one of the most malignant diseases and has a dismal outcome. Angiogenesis has confirmed its critical role in the development of malignant neoplasms. In this study, we uncovered the prognostic implications of the angiogenesis-related gene panel in urothelial tumors.

Methods

The RNA-seq data and clinical records of 402 patients with BLCA were collected from the TCGA database. The panel, including 145 genes involved in angiogenesis, was retrieved from the Uniprot database and the published work. The patients with similar expressed profiles were clustered, and the differences in gene expression were compared. The correlation of gene expression and BLCA outcomes or clinical features were analyzed.

Results

There were two clusters of BLCA patients identified on the expressed basis of angiogenesis-related genes. A significant difference was detected in the tumor stages between the two clusters (P<0.001) and a striking advantaged prognosis shown in cluster_1 (86.83 vs. 27.06 months, P=0.001). According to statistics, 115 genes showed a discrepancy in expression between the two clusters, and 16 genes positively correlated to tumor stage progression. Separately analyzed the correlation of those stage-related genes and overall survivals (OS) revealed that high expression of 8 genes, including ECM1 (HR =1.72, P<0.001), FN1 (HR =1.564, P=0.004), FGF1 (HR =1.519, P=0.005), FAP (HR =1.449, P=0.020), JAM3 (HR =1.396, P=0.026), THBS1 (HR =1.402, P=0.028), MFGE8 (HR =1.394, P=0.028) and COL8A2 (HR =1.388, P=0.035), were showed worse prognosis of BLCA, respectively.

Conclusions

This study showed an integrated profile of angiogenesis-related genes and identified the different BLCA subgroups with favorable prognosis and poor prognosis depended on the expression pattern of angiogenesis-related genes. Furthermore, this work revealed the single gene expressions of ECM1, FN1, FGF1, FAP, JAM3, THBS1, MFGE8 and COL8A2 involved in angiogenesis associated the prognosis remarkably.