Tag Archives: 3D cancer models

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Telling Cancer to Take a Hike

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Innovation milestone is a message of authentic hope for local cancer patients

By Matthew Gevaert, Ph.D., and W. Jeffrey Edenfield, MD

Cancer innovation and hiking the Appalachian Trail have a few things in common.

Neither happens overnight; the AT typically takes five to seven months, and meaningful innovation in cancer research can take five to seven years or more, start to finish.

Both are marked by increasingly significant milestones as the end goal nears. In the case of the AT, certain literal “mile” stones are of special importance on each hiker’s 2,189-mile trek.

On the cancer innovation side, we achieved one of those significant milestones on Dec. 14 when Greenville Health System and KIYATEC announced an enhanced partnership that will soon bring Upstate cancer patients access to a series of groundbreaking diagnostic tests.

These tests could accurately predict which drugs a patient will respond to before he receives a single treatment, potentially saving patients months of ineffective, toxic, and expensive chemotherapies.

And because of our unique partnership, this will happen in Greenville first – before anywhere else in the world.

It is unusual within health care that a hospital would allow a company to locate within its walls, enabling private-sector leadership to rub shoulders and bump elbows with oncologists and cancer-care professionals in the same place where patients are being treated.

But GHS embraced this concept, and it has proved to be a formula for success.  Predicting how a patient will respond to a specific drug is an enormous challenge that many researchers have unsuccessfully tried to overcome. But KIYATEC may have done it through studying tissues from more than 500 patients across many cancers, the majority of whom were treated at GHS.

Using these tissues, KIYATEC has conducted “blinded” clinical studies, first in ovarian cancer, initially with GHS and later with other institutions. They are blinded in that although a patient-specific prediction is made, KIYATEC does not share this information with the participating oncologists, and also in that KIYATEC does not receive any information about the patient’s identity. Thus, test information does not influence any treatment decisions until test performance has been sufficiently evaluated.

Here’s where it gets really exciting. The early data from these blinded clinical studies is now in, showing up to 93 percent accuracy predicting how women who are newly diagnosed with ovarian cancer will respond to platinum chemotherapy, the most common drug for patients in this situation. The test makes a prediction within seven days; each patient’s response or nonresponse in real life can take up to 12 months to determine.

Now, with confidence in the test’s performance, we are jointly ready to move into the next phase of innovation. GHS and KIYATEC have agreed to an enhanced partnership, in which GHS will serve as KIYATEC’s flagship clinical institution for the “unblinded” clinical studies.

There is a huge difference in these studies compared with the prior ones, because in these studies KIYATEC’s data will be released to the clinicians, who will now have the benefit of the response prediction for each enrolled patient. It is a win for KIYATEC: The company has done a lot of great things, but it has never used its data to help improve a patient’s outcome, which is a core element of the company’s mission.

But, it is also a win for GHS, and most importantly, GHS’ cancer patients, who through the study will be eligible to receive individually guided care in a way that initially no other patients, at any other treatment center, will have the benefit of.

This cancer innovation journey is not over. The test must be proven in the larger clinical studies hosted by GHS and eventually by other clinical institutions from across the nation. Patient enrollment here in Greenville is projected to begin early this year, and commercial launch of the first test could be as early as 2020.

So, just like the AT hiker who has hit a significant milestone midjourney, there are still miles to go. But it’s great to take a breath having summitted one of the biggest peaks on the way there. 

Matthew Gevaert, Ph.D, is the CEO of KIYATEC Inc., a Greenville company pioneering the ability to accurately predict individual cancer patients’ response to therapies. 

W. Jeffrey Edenfield, MD, is the medical director for GHS’ Institute for Translational Oncology Research (ITOR), where KIYATEC is located.

Original article found here.


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GHS and KIYATEC Announcement Video

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Greenville Health System and Kiyatec Research announced exciting news about cancer care and treatment today.


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GHS Cancer Institute, KIYATEC partner on cancer diagnostic testing

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Staff Report – 12.14.17

The Greenville Hospital System Cancer Institute and Greenville-based KIYATEC have partnered to provide cancer patients with the diagnostic testing they need to make informed health decisions. The first of these tests to be available is one that can indicate ovarian cancer patients’ future response to chemotherapy before undergoing treatment with up to 93% accuracy, according to a news release.

As the flagship clinical partner of KIYATEC, GHS Cancer Institute patients will be the first to receive the opportunity to benefit from these tests through clinical studies initially applicable to all ovarian cancer patients. Through the partnership, KIYATEC will expand the test offerings to patients with other cancers within the coming year, according to the release.

“Human cells are as unique as the patients themselves, so you really need to see the way those cells interact with given drugs to know for certain what treatment will work,” said Matthew Gevaert, CEO of KIYATEC, in the release. “By placing each patient’s cancer cells in conditions that mimic the actual human body, we can drill down to drug effect on the cellular level and establish the connection between the results we see in the lab and the response we hope to see in the patients.”

Original article found here.


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3 Posters @ AACR 2017 in DC

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Three KIYATEC abstracts accepted for poster presentations during 2017 AACR Conference in Washington D.C.

KIYATEC, a private company prioritizing accurate ex vivo prediction of patients’ response to drug treatment, received acceptance of three posters for presentations during the upcoming AACR conference.

GREENVILLE, SC, March 21, 2017– KIYATEC Inc. is pleased to announce that three abstracts have been accepted by the committee at the American Association for Cancer Research (www.aacr.org).  KIYATEC scientific and business development staff will be in attendance at the conference.  In addition to the poster presentations, also KIYATEC will be exhibiting at Booth 1556.  Stop by to learn more about our 10+ years of 3D cell culture experience and the latest 3D co-culture model development projects focused on immuno-oncology applications.

  •  Abstract #1923 / 24 – Paired isolation and expansion of CSC and CTC from primary small cell lung cancer patient tissue and blood using the 3DKUBE bioreactor platform | Monday Apr 3, 2017 8:00 AM – 12:00 PM | Location: Section 41 / Poster 24 (LINK)
  • Abstract #4834 / 24 – 3D modeling of immune cell interactions in breast cancer and prediction of immunotherapy response | Tuesday,
    Apr 4, 2017, 1:00 PM – 5:00 PMLocation: Section 39 / Poster 24 (LINK)
  • Abstract #4837 / 27 – Development of an in vitro 3D glioblastoma model system for patient-specific drug response profiling Tuesday,
    Apr 4, 2017 1:00 PM – 5:00 PM | Location: Section 39 / Poster 27 (LINK)
3D Cell Culture Models

3 Posters Accepted at AACR 2017 Washington DC


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KIYATEC & Mayo Clinic Collaborate to Fight Ovarian Cancer

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KIYATEC AND MAYO CLINIC COLLABORATE TO FIGHT OVARIAN CANCER

Collaboration aims to validate the accuracy ex vivo 3D (EV3D) cell culture predictions against ovarian cancer patient outcomes

Greenville, S.C. | June 16, 2016 07:00 EDT – KIYATEC, a leader in emerging 3D ex vivo predictive cancer diagnostics, today announced a collaboration with Mayo Clinic to combine their complementary technology platforms for ovarian cancer clinical care.

Mayo Clinic is actively enrolling patients in a clinical study led by principal investigator John Weroha, M.D., in which patient-derived xenografts (PDX) generate living tumor samples specific to each enrolled ovarian cancer patient. The study assesses whether those samples can help determine which chemotherapy is most effective to treat that individual ovarian cancer patient should they become platinum resistant. A limitation of any PDX model is that it typically takes six to nine months before data is produced.  For some patients that don’t respond at all to the initial treatment information is needed in just a few weeks, a challenge inherent to any clinical study of this sort – until now.

KIYATEC similarly uses living tumor samples specific to each ovarian cancer patient in its active research study with Greenville Health System (GHS), the first healthcare provider to partner with KIYATEC on this research.  The difference is that KIYATEC uses its 3D cell culture platform to generate patient specific drug response prediction data in just 7 days.  If the research collaboration is successful, KIYATEC’s technology would complement the Mayo approach and allow for more patients to be treated according to personalized drug response models.

 “This significantly advances KIYATEC’s goal to validate the accuracy of our cell culture predictions against patient outcomes, the gold standard for these kinds of comparisons,” said Hal Crosswell, M.D., KIYATEC’s Chief Medical Officer.

About KIYATEC

KIYATEC’s mission is to accurately predict patient response to cancer drugs using their living tumor cells in 3D culture, and to use those predictions to improve patient outcomes, reduce healthcare costs and increase success in drug development and clinical trials.  The company creates and utilizes live phenotypic 3D cell-based models for drug response profiling and applies them to generate information relevant to preclinical testing, clinical trials and clinical cancer diagnostic applications. 

For more information, please visit www.kiyatec.com or follow KIYATEC on Twitter (@KIYATEC).


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NCI Contract: Cancer Stem Cell / Lung Cancer Project

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National Cancer Institute (NCI) Awards KIYATEC $1.725M to Develop Cancer Stem Cell (CSC) Expansion Technology 

Contract Funds 3D Cell Culture Technology Platform to Expand CSCs for Small Cell Lung Cancer (SCLC) Model Development

GREENVILLE, SC | October 22, 2015 – KIYATEC announced today the award of a Fast Track Phase I and Phase II Small Business Innovation Research (SBIR) Contract for $1.725M from the National Cancer Institute (NCI), one of the 27 institutes and centers that comprise the National Institutes of Health (NIH).  The overall goal of the contract is to develop culture systems which can grow and maintain the rare population of malignant cells referred to by some as cancer stem cells, which are believed to lead to therapy resistance, relapse and death from metastatic disease.  KIYATEC’s focus is small cell lung cancer (SCLC), one of the deadliest forms of cancer today with little advancement in treatments in 4 decades.

NCI Cancer Stem Cell Contract Award


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$2M NCI Contract To Advance Predictive Cancer Diagnostics

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National Cancer Institute Awards KIYATEC Nearly $2M to Advance Predictive Cancer Diagnostics

Contract Funds 3D Breast Cancer, 3D Brain Cancer Micro-Tumor Development

GREENVILLE, SC | September 18, 2014 – KIYATEC announced today that it has been awarded a $1.975 million, Small Business Innovation Research (SBIR) Phase II Contract from the National Cancer Institute (NCI), one of the 27 institutes and centers that comprise the National Institutes of Health (NIH). Over the course of the two year award, KIYATEC will expand its 3D breast cancer model to address two issues at the forefront of cancer therapy strategies: 1) cancer’s interaction with the patient’s immune system (immuno-oncology) and 2) cancer’s interaction with the patient’s blood supply (angiogenesis). The award will also allow KIYATEC to broaden its technology platform beyond its current use in primary ovarian cancer and breast cancer testing and into glioblastoma multiforme (GBM), a type of brain cancer with a five year survival rate that is less than 10 percent. The funded contract has the potential to radically change the future of cancer patient care.

Predictive 3D Cancer Diagnostics