Measuring this molecular and cellular environment, or “microenvironment,” appears to represent a new type of precision-medicine approach to lymphoma classification and treatment.
The researchers reported their findings Feb. 4 in Cancer Discovery, a journal of the American Association for Cancer Research.
The team analyzed the patterns of gene activity in tumor samples taken from the lymph nodes of thousands of lymphoma patients. They found that the cells within these tumors, which include both cancer cells and healthy cells, produce molecules that collectively constitute a distinct microenvironment for the tumors, influencing their biology and growth.
The scientists also found that lymphoma microenvironments tend to occur in one of four broad categories, which range from tumor growth-restricting to tumor growth-enhancing. The researchers demonstrated in an animal model that by experimentally modifying the lymphoma microenvironment, they could slow the cancer’s growth.
“The lymphoma microenvironment is essentially another layer of lymphoma biology that we believe we can use for classifying patients more accurately and potentially treating them more effectively,” said senior author Dr. Leandro Cerchietti, associate professor of medicine in the Division of Hematology and Oncology and member of the Sandra and Edward Meyer Cancer Center at Weill Cornell Medicine.
Lymphomas are cancers arising from lymphocytes and closely related cells within lymph nodes. There are about 85,000 new cases of, and 20,000 deaths from, lymphomas every year in the United States. The prognosis depends on the type of lymphoma, but for the most common broad category – non-Hodgkin lymphoma – the five-year survival rate is about 70%. The most common type of non-Hodgkin lymphoma is diffuse large B-cell lymphoma (DLBCL).
As for other cancers, improvements in survival and cure rates for lymphoma patients in recent decades have come from more targeted treatments, which in turn have been based on more detailed classifications of lymphomas according to DNA mutations and other properties of lymphoma cells themselves. The new approach by Cerchietti and colleagues – including Dr. John Leonard and Dr. Giorgio Inghirami at Weill Cornell Medicine; and collaborators at biomedical software company BostonGene – looks beyond lymphoma cells to the broth of molecules surrounding them and the gene activity in lymphoma and non-lymphoma cells that helps maintain that molecular microenvironment.
In the study, the researchers, using BostonGene’s solution, analyzed data on gene activity detected in samples taken from more than 4,600 DLBCL patients. Focusing on microenvironment-sustaining patterns of gene activity within lymphoma and tumor-resident non-lymphoma cells, they discovered that the inferred microenvironments tended to fall into four broad categories.
These microenvironment categories were generally associated with different ecosystems of cells and treatment responsiveness, from ecosystems similar to healthy lymph nodes and more responsive to degraded, depleted ecosystems and less responsive, and appeared to represent a new and independently useful classification of lymphomas.
“In two patients with otherwise seemingly identical lymphomas, the observation that these lymphomas have different microenvironments suggests that they will have different responses to treatment,” Cerchietti said.
The team also found evidence that lymphomas in the course of disease – even without new DNA mutations – tend to acquire the means to evade tumor-restrictive elements in their microenvironment, and ultimately develop the capacity to modify their microenvironment, making it more cancer-permissive.
To the researchers, this suggests that future treatments could aim to undo changes in lymphomas that help them evade a restrictive microenvironment. Such treatments could also aim to restore more restrictive microenvironments. In their study, for example, the team observed that certain molecules called proteoglycans are closely associated with more restrictive microenvironments. In a proof-of-principle experiment in an animal model, they found that boosting levels of these molecules significantly slowed lymphoma growth.
Cerchietti and his colleagues have utilized the BostonGene-developed RNA sequencing-based platform for rapidly identifying the lymphoma microenvironment type in a given patient, and are planning to evaluate it soon as an aid in selecting treatments and predicting patient outcomes.
“I’m really excited about this scientific approach,” Cerchietti said. “I think it can have a real impact on the patients.”
Source – Cornell University