Blog Posts
September 14, 2020

How Top Oncologists Cut Their Research Time

Blog Posts
September 14, 2020

How Top Oncologists Cut Their Research Time

Author

How Top Oncologists Cut Their Research Time

The advent of precision oncology is marked by many new changes and improvements in diagnostic, prognostic and treatment methods for cancer patients. Researchers looking to bring new drugs to market are now also privy to a vast database of material from previously conducted studies thanks to a push forward in research collaborations and the creation of shared data hubs.

Today, the coronavirus and COVID-19 pandemic has been a major burden upon national health systems across the world and coupled with economic recession, many countries are now making big cuts to cancer research funding. In this way it is essential for oncologists and pharmaceutical companies to find ways of improving the research process including its speed and efficiency - no more so than with the adoption of newly available technologies and methods.

Liquid Biopsy

Liquid biopsies are a less invasive and easily repeatable method that use a blood sample to provide health care professionals with genetic information about a patient's tumor. This new method requires only 5ml of blood with the procedure being considerably faster than a surgical biopsy, cutting down weeks to a few days and is also less expensive.Additionally, liquid biopsies can be used in patients where standard biopsies are not possible, for instance due to an inaccessible tumor location.

In August earlier this year the FDA approved the first Liquid Biopsy Next Generation Sequencing Companion Diagnostic. The Guardant360 CDx assay utilizes both liquid biopsy and next generation sequencing (NGS), known as high throughput tumor profiling.Compared to older technologies, NGS requires only one test and allows better assessment of tumor composition.

At the time of approval, Tim Stenzel, Director at the FDA's centre for Devices and Radiological Health, said:

“Approval of a companion diagnostic that uses a liquid biopsy and leverages next-generation sequencing marks a new era for mutation testing. In addition to benefiting from less invasive testing, patients are provided with a simultaneous mapping of multiple biomarkers of genomic alterations, rather than one biomarker at a time, which can translate to decreased wait times for starting treatment and provide insight into possible resistance mechanisms.”

Liquid Biopsy

Artificial Intelligence

The identification of disease states and treatment options is a major challenge in precision oncology. Today, artificial intelligence (AI) offers unique opportunities for enhancing such predictive capabilities in the lab and the clinic. Most current AI applications involve the use of machine learning (ML) algorithms. As ML algorithms are exposed to more data, they can observe hidden patterns within datasets and be used in a variety of different ways.

AI is also used in cancer imaging, clinical decision making, clinical photographing and radiographic imaging which have all in their own ways considerably accelerated and refined the diagnostic and treatment processes in oncology.

Other Methods of Cutting Research Time

Also known as adaptive clinical trials, smarter trials are currently transforming efficiency in drug development. In contrast to randomized controlled trials, an adaptive trial involves the patients responses being observed and analysed at pre-defined interim points, and pre-determined modifications to study design can be implemented based on what researchers observe.

This trial methodology helps to deliver the right treatment to the right patient faster than ever before.

Finally, sharing more data and further supporting research collaborations is a vital way top oncologists receive and retain access to data hubs and resources, ultimately cutting down on research time and improving diagnostic and treatment efficiency. The past decade has seen some notable collaborations including Project Data Sphere which launched in 2014 with seven pharma giants including AstraZeneca, Janssen and Pfizer agreeing to share data of around 30,000 cancer patients to better inform and identify cohorts who do not benefit from standard chemotherapy.

Veri

Larvol is a SaaS company that has been supporting the drug development and research teams in pharma and life sciences since 2004. Our newest decision and research-support tool, Larvol Veri, is an oncology database with 1,000+ biomarkers, 200+ clinical diagnostic tests, and50+ of the top diagnostic companies. Track your biomarkers at veri.larvol.com or sign-up for a free premium commercial trial.

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Not rated
Allison Betof Warner, MD, PhD (she/her) 4
3743
Manhattan, NY
November 10, 2022

79% had reduction in disease. ORR 31%. Many responses deepen over time.

Not rated
Allison Betof Warner, MD, PhD (she/her) 3
3743
Manhattan, NY
November 10, 2022

Median DOR not yet reached. Median OS 13.9 mo. 12 mo OS was 54%. As typical with immunotherapy, we see a nice tail on the curve. #TIL#SITC22

Positive
Alex Shoushtari, MD
2253
New York, USA
November 10, 2022

Important work on efficacy of TIL therapy lifileucel in PD-1 resistant #melanoma being presented at #SITC22. Pretty good durability for this heavy lift of a treatment.

Not rated
Allison Betof Warner, MD, PhD (she/her) 2
3743
Manhattan, NY
November 10, 2022

Toxicity profile was in line with prior TIL/Lifileucel data. No surprises here. Median # doses of IL-2 was 6.

Positive
Hussein Tawbi, MD, PhD
1685
Houston, TX
November 10, 2022

Absolutely agree!… this should be available to our melanoma patients ASAP!… and paves the way for smarter cellular therapies to be designed, studied, and eventually widely disseminated

Positive
Allison Betof Warner, MD, PhD (she/her) 1
3744
Manhattan, NY
November 10, 2022

Where does this leave us with #TIL therapy for #melanoma? IMO, this response rate/durability justifies accelerated approval. Pts with PD-1 refractory melanoma need options. It’s FAR from a perfect tx but provides meaningful clinical benefit. What say you melanoma Twitterverse?

Not Rated
Sumanta K. Pal, MD, FASCO
15083 Followers
Los Angeles, CA
November 8, 2022

Just before I start AM clinic at @cityofhopeoc, excited to share results from #COBALT_RCC, a P1 trial of @CRISPRTX#CTX130 in #kidneycancer in the @sitcancer#PressProgram. Will present more on Thurs 5:37p at #SITC22! Thx @neerajaiims@DrBenTran@HaanenJohn#SamerSrour& co-Is! t.co/aDnhG9n92A

not rated
Shilpa Gupta
5095 Followers
Cleveland, OH
November 8, 2022
Not Rated
Tian Zhang, MD, MHS
6463 Followers
Dallas, TX
November 8, 2022

CAR-Ts are coming for #kidneycancer!! Congratulations @montypal and team; can’t wait to see results at #SITC22! t.co/9MrlF2yzBe

Not Rated
Moshe Ornstein MD
1930 Followers
Cleveland, OH
November 8, 2022

Congrats @montypal and team! Great to see CAR T therapy coming to #RCCt.co/ypRHBC89Pt

Not Rated
Shuchi Gulati MD
12476 Followers
Seattle, WA
November 8, 2022

Another huge step from none other than @montypal!! CAR-Ts in #kidneycancer!Congratulations to the entire team!Looking forward to seeing the results at #SITC22! t.co/HvKeVBPyV7

Not Rated
Petros Grivas
12476 Followers
Seattle, WA
November 8, 2022

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