Research Spotlight:  A new calculator to make personalized decisions for patients with T-cell and natural killer-cell lymphomas

Research Spotlight:  A new calculator to make personalized decisions for patients with T-cell and natural killer-cell lymphomas

By Emmanuel Nwodo

By Emmanuel Nwodo

Jessy Xinyi Han

In this Q&A, lead author Jessy Xinyi Han, Research Assistant at Massachusetts Institute of Technology, discusses her paper, “Global outcomes and prognosis for relapsed/refractory mature T-cell and NK-cell lymphomas: results from the PETAL consortium” published in Blood Advances.

In this Q&A, lead author Jessy Xinyi Han, Research Assistant at Massachusetts Institute of Technology, discusses her paper, “Global outcomes and prognosis for relapsed/refractory mature T-cell and NK-cell lymphomas: results from the PETAL consortium” published in Blood Advances.

How would you summarize your study?

How would you summarize your study?

This study looked at patients worldwide with rare, aggressive blood cancers called T-cell and natural killer (NK)-cell lymphomas which had relapsed (cancer came back after previous treatment) or were refractory (cancer didn’t respond to previous treatment). We proposed a new risk scoring system, a system that takes patient information and helps doctors better predict which patients will do well or poorly after their cancer comes back or does not respond to initial treatment. We also showed that newer targeted medicines (not traditional chemotherapy) may help some patients live longer, especially those with certain cancer types.

What did your study investigate?

What did your study investigate?

We investigated whether we could develop a reliable way to predict outcomes in patients with relapsed/refractory T-cell and NK-cell lymphomas.

What methods or approach did you use?

What methods or approach did you use?

We conducted a large, international, retrospective study (a study that uses past patient data) of 925 patients from 10 countries. We looked at patient features and treatments, built a new risk prediction model (a model that predicts survival for patients), and compared survival for different therapies. We especially focused on comparing targeted therapies (therapies made to attack a specific part of a cancer cell) with chemotherapy.

What did you find?

What did you find?

We created a new scoring system, the prognostic index for relapsed/refractory T-cell lymphoma (PIRT) score, that classifies patients into low-, intermediate-, or high-risk groups based on different chances of survival. Newer small-molecule drugs (targeted therapies) worked better than chemotherapy for some cancer types–such as angioimmunoblastic T-cell lymphoma (AITL)–making them a potential better second-line (second treatment) option for those patients. The model was validated in other patient groups and is available online as a free calculator.

What are the implications?

What are the implications?

This work provides doctors with a new, easy-to-use tool to better predict patient outcomes and personalize treatment for aggressive T-cell lymphomas when the disease returns. The results suggest that for some patients, especially those with AITL, targeted therapies might improve survival compared to traditional chemotherapy.

What are the next steps?

Next steps include using this risk model in real-world clinical decisions and further clinical trials to see how well new drugs work in different patient groups.

Disclosures:

Disclosures:

See the paper for disclosures.

Funding:

Funding:

This work was supported by Daiichi Sankyo, Acrotech Biopharma, and the Center for Lymphoma Research Funds. S.J. is supported by the National Cancer Institute K08 Career Development Award (K08CA230498) and MGH Lymphoma Research Funds. E.J. is supported by the Reid Family Fund for Lymphoma Research.

Paper cited:

Paper cited:

Han, J et al. “Global outcomes and prognosis for relapsed/refractory mature T-cell and NK-cell lymphomas: results from the PETAL consortium.” Blood Advances. DOI: 10.1182/bloodadvances.2024014674