Follicular lymphoma begins in the germinal center, the part of a lymph node where B cells learn to make better antibodies. We study what goes wrong there, using open genomic data and modern data science, so that the disease can be predicted earlier and treated better.
Follicular lymphoma is one of the most common lymphomas. Many people live with it for years, and treatments keep improving. Yet it still tends to come back, and in some patients it turns into a fast-growing lymphoma. Which patients, when, and why are still open questions.
Germinal Center Research exists to help answer them. We turn scattered genomic and clinical data into evidence: which mutations drive the disease, how tumors change over time, and what signals warn of trouble early. We share methods and results openly so that clinicians and laboratories can test and build on them.
Why some follicular lymphomas become aggressive, and whether the mutations present at diagnosis or across later biopsies can flag that risk early.
How tumors change over time: which mutations are present from the start, which appear later, and what that tells us about relapse.
Much of the evidence sits in free-text pathology and sequencing reports. We build open tools that turn those reports into structured, checkable research data.
How the normal biology of the germinal center, from mutation to selection by helper cells, shapes which changes lead to lymphoma.
We start from public genomic datasets and published cohorts, and we describe exactly which data each result comes from.
No patient-identifiable information is ever published. Clinical data stays with the institutions that hold it.
Every model is scored against verified ground truth, and we report where it fails as well as where it works.
Computation proposes; experiments decide. We aim to hand laboratories ranked, testable ideas.
We work with clinicians, laboratories and data holders, and credit every contribution.
The goal is better outcomes for people living with follicular lymphoma, not papers for their own sake.
Sixty tarot-size study cards, one for each gene and concept that drives follicular lymphoma, grouped into eleven color-coded modules from founder events to immune evasion.
An educational study aid, not medical advice. Coordinates and frequencies are for orientation, not citation.
Please talk with your hematologist or oncologist about your care. These organizations offer reliable information and support:
We are looking for laboratories that can test computational hypotheses, clinicians interested in transformation risk, and groups that hold follicular lymphoma datasets and want to put them to wider use.
A data scientist who has spent three decades in media, technology and data, now applying the same methods to the biology of follicular lymphoma. mikesmith.ventures