# PRIMAVO: Interactive exploration of cancer patient precision immune monitoring data in clinical trials

> **NIH NIH R33** · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · 2021 · $1,542,450

## Abstract

PROJECT SUMMARY
Cancer immunotherapies have dramatically changed clinical practice following the approval of more than a
dozen new drugs and/or indications in the past few years1–4. However, only a minority of patients derives
clinical benefit, while some develop off-target effects. To identify novel biomarkers of disease course and
response, as well as potential off-target responses to immunotherapy in cancer patients, the NCI’s Cancer
Moonshot Initiative (CMI) is supporting a growing number of cancer immunotherapy trials. Our team is at the
forefront of the CMI efforts with two grants: 1) a U24 on high-dimensional immune monitoring of NCI-supported
immunotherapy trials as part of the Cancer Therapy Evaluation Program (CTEP); and 2) a U01 on
characterizing and predicting a toxic side-effect of immunotherapy, colitis, in immune checkpoint blockade-
treated cancer patients, as part of the Immuno-Oncology Translational Network (IOTN). However, with the
rapid development of new and improved technologies, these studies produce diverse data types of ever-
expanding size and complexity. Visualizing, exploring, and communicating results from the computational
analysis of these disparate high-dimensional immune monitoring assays is imperative but challenging,
especially because many visualization tools are either built only for in-house utilization or typically specialize in
only one or perhaps a few data types. At the same time, cross-assay or cross-participant data interpretation is
the only way to identify relevant immune biomarkers that impact clinical trial design and clinical cancer care.
There is thus an unmet need for easy-to-use interactive tools for integrative exploration of cancer patient
immune monitoring data by biologists and clinicians. This proposal aims to address this need through the
development of a user-friendly, integrative web-based visualization tool, Precision Immunology Monitoring
Analysis and Visualization Online (PRIMAVO), that will enable researchers of all computational skill levels to
visually analyze and interactively explore immune monitoring assay results that belong to a cancer
immunotherapy trial, at multiple levels of granularity. The PRIMAVO tool will scale with current and future data
growth and complexity to enable fast and effective research towards identifying associations between different
data types, participants, and clinical variables. We hypothesize that developing (i) cohort-level; and (ii)
participant-level visualizations that integrate views across multiple immune data types, participants, cohorts
and time points will provide a deep, comprehensive view of events; and that (iii) the content and features of
PRIMAVO will be greatly enhanced by engaging with the user community during its development. The results
from this highly integrated effort will have important clinical and public health implications by accelerating our
understanding of the immune responses of cancer patients to immunotherapies and sign...

## Key facts

- **NIH application ID:** 10294555
- **Project number:** 1R33CA263705-01
- **Recipient organization:** ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
- **Principal Investigator:** Zeynep Hulya Gumus
- **Activity code:** R33 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $1,542,450
- **Award type:** 1
- **Project period:** 2021-09-23 → 2025-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10294555

## Citation

> US National Institutes of Health, RePORTER application 10294555, PRIMAVO: Interactive exploration of cancer patient precision immune monitoring data in clinical trials (1R33CA263705-01). Retrieved via AI Analytics 2026-06-01 from https://api.ai-analytics.org/grant/nih/10294555. Licensed CC0.

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