The expression of cancer stem cells and its effects on the propensity for recurrence and metastasis in bladder cancer: a systematic review
Hamid, A. R. A. H.; Syadza, Y. Z.; Yausep, O. E.; Christanto, R. B. I.; Muharia, B. H. R.; Mochtar, C. A.
Show abstract
Bladder cancer is one of the most frequent cancers of the urinary tract, associated with high recurrence rates and metastasis. Cancer stem cells (CSCs) are a subpopulation of cancer cells characterized by high self-renewal and differentiation capacities, resulting in increased cancer recurrence, larger tumor size, higher rates of metastasis, higher resistance to treatment, and overall poorer prognosis. This study aimed to evaluate the role of CSCs as a prognostic tool to predict the risks of metastasis and recurrence in bladder cancer. A literature search was conducted across seven databases from January 2000 to February 2022 for clinical studies investigating the use of CSCs to determine the prognosis of bladder cancer. The following keywords were used: ("Bladder Cancer" OR "Transitional Cell Carcinoma" OR "Urothelial Carcinoma") AND ("Stem Cell" OR "Stem Gene") AND ("Metastasis" OR "Recurrence"). A total of 12 studies were deemed eligible for inclusion. SOX2, IGF1R, SOX4, ALDH1, CD44, Cripto-1, OCT4, ARRB1, ARRB2, p-TFCP2L1, CDK1, DCLK1, and NANOG, which were all identified as CSC markers, have been implicated in the recurrence and metastasis of tumor in bladder cancer, which played a role as prognostic factor of bladder cancer. Given the pluripotent and highly proliferative properties of CSCs. CSCs may play a role in the complex biological behavior of bladder cancer, including, but not limited to, its high rates of recurrence, metastasis, and resistance to treatment. The detection of cancer stem cell markers offers a promising approach in determining the prognosis of bladder cancer. Further studies in this area are thus warranted and may contribute significantly to the overall management of bladder cancer.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Identification of prognostic biomarkers for suppressing tumorigenesis and metastasis of Hepatocellular carcinoma through transcriptome analysis 94%
- Safety of anti-thrombotic therapy in acute aortic dissection; single center, observational study 91%
- Factors influencing plasma galectin-3 concentrations in catheter-bearing hospitalized patients 91%
Similar papers in this journal
- Loss of CHGA protein as a potential biomarker for colon cancer diagnosis: a study on biomarker discovery by machine learning and confirmation by immunohistochemistry in colorectal cancer tissue microarrays 95%
- A novel molecular analysis approach in colorectal cancer suggests new treatment opportunities 94%
- COL7A1 expression improves prognosis prediction for patients with clear cell renal cell carcinoma atop of stage 93%
Similar papers in this journal
- Exploration of the link between COVID-19 and gastric cancer from the perspective of bioinformatics and systems biology 95%
- TissueGrinder, a novel technology for rapid generation of patient-derived single cell suspensions from solid tumors by mechanical tissue dissociation 93%
- Clinical Characteristics and Short-Term Outcomes of Severe Patients with COVID-19 in Wuhan, China 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.