Non Hodgkin Lymphoma Clinical Trial
Official title:
A Single-cell Transcriptome Study in Patients With Non-Hodgkin's Lymphoma
Using single-cell RNA sequencing, this study will explore the heterogeneity of lymphoma inside and outside the lymph node, identify tumor specific molecular markers and cell subgroups, explore the differences in tumor microenvironment composition, and provide a basis for diagnosis and precision treatment.
In recent decades, the incidence of lymphoma has been increasing year by year in the world.
Non-Hodgkin lymphoma accounts for about 90% of lymphoma, of which the classification is
complex and the efficacy is poor compared to Hodgkin's lymphoma. Non-Hodgkin's lymphoma is
often associated with the extra nodal involvement, and according to literature, extra nodal
lymphoma accounts for 1/3 to 1/2 of all non-Hodgkin lymphomas. Compared with non-Hodgkin's
lymphoma without extra nodal involvement, the prognosis of lymphoma with extra nodal
involvement was relatively poor. The recurrence rate was higher, and its incidence, histology
type, clinical staging and so on all had their own characteristics.
Tumor cells depend to some extent on the interaction with non-tumor cells and matrix
components of the tumor microenvironment to maintain survival and proliferation. In addition,
the non tumor cells and matrix components can mediate immunosuppressive action to promote
tumor escape from immunosurveillance, resulting in disease progression. At the same time,
more and more data show that the tumor microenvironment plays a key role in the development
of tumor resistance. The cellular composition and spatial properties of the tumor
microenvironment show significant heterogeneity, depending on a number of factors, including
subtypes of lymphomas and extra nodal sites of lymphomas. Studying the tumor microenvironment
will provide rationale for more precise target therapy. Through single-cell RNA sequencing,
this study hopes to identify the heterogeneity of nodal and extra nodal lymphoma cells, to
understand the differences in tumor microenvironment, and to provide a basis for diagnosis
and precision treatment.
There are new target drugs for different antigen targets. But patients may not be sensitive
to a certain drug, and the drug is often expensive, resulting in increased financial burden
on patients without efficacy. Therefore, the research for biomarkers to predict patient
efficacy and prognosis is particularly important.
The treatment efficacy of patients with relapsed lymphoma is often not good, so the
prediction and treatment of patients with high-risk of relapsing is a clinical significant
problem. On the basis of single-cell transcriptomics, this study hopes to find biomarkers for
predicting the relapse of lymphoma and provide new ideas for clinical diagnosis and
treatment.
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