Lymphomas are common hematologic malignant tumors that originate from lymph nodes or other lymphoid tissues and usually locate in the neck, axilla, groin as well as nasal cavity. Over the past 50 years, dramatic advances in technology have established imaging as the cornerstone of disease evaluation. However, evolving understanding of the biological and molecular characteristics of lymphomas underscores the importance of ongoing updated diagnosis and monitoring methods including circulating tumor DNA (ctDNA) detection. Simultaneously, the tumor microenvironment plays an indispensable role in lymphomagenesis, development, relapse, and drug resistance. Some novel classifications that take into account the immune microenvironment may reveal more heterogeneities of lymphomas, as well as promote the development of new precision therapy approaches. Therefore, the accurate diagnosis, classification, and precise treatment or assessment of therapeutic response are critical to the optimal management of patients with lymphomas.
In this Research Topic, we aim to highlight and promote novel application insights into the accurate diagnosis, classification, and precise treatment or assessment of therapeutic response in lymphomas. Contents may include but are not limited to the following subtopics:
1. Development and applications of detection methods, which will provide novel insights into the precision diagnosis of lymphomas, nasopharyngeal carcinoma, or head and neck neoplasms.
2. Applications of novel detection technologies, including ctDNA and imaging mass cytometry, for the prediction or evaluation of lymphoma recurrence or microenvironment.
3. Molecular classifications based on novel methods, which may guide the precision therapy of lymphomas.
4. Novel treatment strategies for lymphomas with the support of emerging technologies.
Please note: manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.
Lymphomas are common hematologic malignant tumors that originate from lymph nodes or other lymphoid tissues and usually locate in the neck, axilla, groin as well as nasal cavity. Over the past 50 years, dramatic advances in technology have established imaging as the cornerstone of disease evaluation. However, evolving understanding of the biological and molecular characteristics of lymphomas underscores the importance of ongoing updated diagnosis and monitoring methods including circulating tumor DNA (ctDNA) detection. Simultaneously, the tumor microenvironment plays an indispensable role in lymphomagenesis, development, relapse, and drug resistance. Some novel classifications that take into account the immune microenvironment may reveal more heterogeneities of lymphomas, as well as promote the development of new precision therapy approaches. Therefore, the accurate diagnosis, classification, and precise treatment or assessment of therapeutic response are critical to the optimal management of patients with lymphomas.
In this Research Topic, we aim to highlight and promote novel application insights into the accurate diagnosis, classification, and precise treatment or assessment of therapeutic response in lymphomas. Contents may include but are not limited to the following subtopics:
1. Development and applications of detection methods, which will provide novel insights into the precision diagnosis of lymphomas, nasopharyngeal carcinoma, or head and neck neoplasms.
2. Applications of novel detection technologies, including ctDNA and imaging mass cytometry, for the prediction or evaluation of lymphoma recurrence or microenvironment.
3. Molecular classifications based on novel methods, which may guide the precision therapy of lymphomas.
4. Novel treatment strategies for lymphomas with the support of emerging technologies.
Please note: manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.
