ADVERTISEMENT
Exai Bio’s Non-invasive Blood-Based Platform Delivers Promising Data on Detecting Breast Cancer at its Earliest Stages
December 6, 2022: Exai Bio’s non-invasive blood-based platform delivers promising data on detecting breast cancer at its earliest stages
– Data from new study presented at the 2022 San Antonio Breast Cancer Symposium meaningfully builds on ground-breaking data presented at the 2021 Symposium
Palo Alto, CA — Exai Bio and researchers at UCSF released data demonstrating that Exai’s novel, RNA-based liquid biopsy platform accurately detected breast cancer at the earliest stages and smallest tumor sizes. Earlier detection of breast cancer is crucial for optimal patient outcomes but cannot always be achieved based on symptoms or mammography.
Exai’s technology uses RNA sequencing to identify a novel category of cancer-associated, small non-coding RNAs, termed orphan non-coding RNAs (oncRNAs). In a poster entitled, “Early-stage breast cancer detection using orphan noncoding RNAs”, presented at the 2022 San Antonio Breast Cancer Symposium, Exai demonstrated that oncRNA biomarkers in blood, combined with deep machine learning, detected breast cancer with high accuracy overall, including across all cancer stages and tumor sizes. The poster further demonstrates that even at the earliest stages and smallest tumors, sensitivity was greater than 80%. These findings suggest that Exai’s liquid biopsy test for earlier detection of cancer could meaningfully improve care and outcomes for cancer patients.
With this study, we again demonstrate that oncRNAs can be used as a biomarker for earlier cancer detection from a blood draw. oncRNAs are secreted from cancer cells and are abundant in the blood of cancer patients.. Exai has created a catalog of hundreds of thousands of oncRNAs found in all major cancer types. This vast catalog gives the Exai platform several scientific and practical advantages over tests that rely on circulating tumor DNA.
These 2022 SABCS results also complement and build on the breast cancer data presented at SABCS 2021 where changes in oncRNAs reflected breast cancer treatment response, predicted overall survival and added significant information to other clinical endpoints such as tumor tissue pathology. More recently, we presented results from a colorectal cancer patient cohort at the European Society for Medical Oncology (ESMO) meeting in September 2022, where our RNA-based platform accurately predicted colorectal cancer at the earliest stages and smallest tumors.
(more)
EXAI BIO PRESENTS DATA FOR EARLY DETECTION AND MONITORING OF BREAST CANCER…2
“Our results presented at SABCS 2022 represent another important step in establishing the role of oncRNAs in addressing the unmet need of detecting cancer at its earliest stages from a simple blood sample,” said Patrick Arensdorf, Chief Executive Officer of Exai. “The oncRNA-based liquid biopsy technology will be compatible with standard sample requirements enabling easy integration into conventional clinical workflows. Exai’s goal is to improve patient care with a variety of liquid biopsy tests for early cancer detection and monitoring of residual disease and recurrence in multiple types of cancer.” This poster will be available on-demand on the website for SABCS attendees (www.sabcs.org) beginning December 6, 2022. The poster will also be accessible on Exai’s website.
Details of the SABCS 2022 poster presentation:
Title: Early-stage breast cancer detection using orphan noncoding RNAs
Poster ID: P1-05-18
Abstract category: Detection/Diagnosis
Authors: Taylor Cavazos, Jeffrey Wang, Oluwadamilare I. Afolabi, Alice Huang, Dung Ngoc Lam, Seda Kilinc, Jieyang Wang, Lisa Fish, Xuan Zhao, Andy Pohl, Helen Li, Kimberly Chau, Patrick Arensdorf, Fereydoun Hormozdiari, Hani Goodarzi, Babak Alipanahi
About Exai Bio
Exai Bio is a next-generation liquid biopsy company. Its mission is to enable a world where cancer can be detected early, diagnosed accurately, treated in a personalized and targeted way, and ultimately cured. The company’s proprietary RNA and artificial intelligence-based liquid biopsy technology delivers clinical insights into cancer biology to enable the earliest, most accurate diagnosis of cancer.