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Remembering Sanjiv Sam Gambhir, MD, PhD, Stanford University Radiology Chair, Director of the Canary Center at Stanford for Cancer Early Detection
August 4, 2020
Sam’s image: forever in our hearts.
November 23, 1962 – July 18, 2020
“The body is a mystery.” This is something you don’t expect to hear from a distinguished worldwide leading expert in radiology, who developed cutting edge imaging tests to spot disease early inside the body using new and repurposed technologies in highly innovative ways. You would think such a person would tout how much we do know. And yet, this is exactly what we would hear from our good friend and guide Sanjiv Sam Gambhir. He believed that the reason cancer seemed to take so many different characteristics in each individual person was because we know so little about the body. It was times like this you would be moved by just how humble Sam was. Add to that just how important Sam has been to Canary Foundation’s mission, and you understand why we will miss him as a beloved partner and visionary for cancer early detection.
We met Sam during the first year Don Listwin founded Canary Foundation in 2004. Don had lost his mother several years before to misdiagnosed ovarian cancer and had decided to use his time and resources to try to impact the common problem of misdiagnosis. Don and cancer research Nobel Laureate Lee Hartwell had earlier conversations about cancer being an engineering problem, where answers were out there but not being brought together to sensible resolution. Canary Foundation went on to develop multi-institutional, multi-disciplined teams providing them with start-up funds to work together towards common goals. They then gather enough results to attract further funding from larger grantors and the government.
Sam filled a vital role in the “workflow” as an imaging expert, and much more. He helped solidify our mission to develop tests to curb cancer deaths by finding tumors early, then isolating their location through imaging, followed by removal or targeted treatment. He quickly became the leader of the science teams using his expert skills in convening the lead researchers in the field.
What was it about Sam that made his complex science and vision understandable? Sam was relaxed as he described a full and brilliant universe of information, knowing exactly what metaphors to use to get his ideas across. For instance, Sam eagerly described his work in imaging as using “molecular spies” that could sleuth out cancer tumors, then send back a signal that greatly enhanced a physician’s ability to “spot” the cancer in the imaging.
Sam laughed easily and liked to poke good humored fun at his colleagues. He was mild mannered and didn’t jockey for the spotlight as one with his level of mastery might. He liked pop music and was genuinely interested in what you had to say. While none of this is written in leadership training books, it all worked well in moving the science forward.
In 2008, Canary Foundation and Stanford University signed partnership papers that sealed the deal on an agreement where both institutions would bring resources to create the Canary Center at Stanford for Cancer Early Detection. Sam led Stanford and kept his eye on the potential that would become the first worldwide center focused on cancer early detection. The Canary Center opened doors in 2009 and would grow to attract world-class researchers. We have accomplished much with Sam at our side. Canary Foundation has since mentored those working on opening international centers at Cambridge United Kingdom and the University of Calgary, Canada. Our annual symposium, the first of its kind that attracted young and seasoned researchers to a collaborative forum, has become, with Sam’s help, a prestigious multi-institutional event now organized by national and global partners.
Sam’s big strategy, like Canary Foundation’s, has always been to mentor both new and seasoned scientists. His lab and the Canary Center have been a dynamic place of productivity, exchange, energy and solution-based translational research. The seeds of his work will continue to grow and flourish by those he has taught and inspired.
Sam has been an extraordinary partner. “It is amazing what you can accomplish through collaboration,” Sam said just last September at the Early Detection of Cancer Conference. We wholeheartedly agree.
All of this is to say, Sam has been a good friend to Canary Foundation and a visionary of a bright future for helping those with a cancer diagnosis.
The world will not be the same without him.
Canary Foundation
Sanjiv Sam Gambhir, pioneer in molecular imaging, Director of the Canary Center at Stanford for Cancer Early Detection, dies at 57
July 21, 2020
From Stanford University News:
Sanjiv Sam Gambhir, MD, PhD, professor and chair of radiology at the Stanford School of Medicine and an internationally recognized pioneer in molecular imaging, died July 18 of cancer. He was 57. He was a global leader in advancing techniques for molecular imaging and early cancer detection.
Below is the message that Lloyd Minor, MD, dean of the School of Medicine, shared with the community on July 18.
Words cannot express what an immense loss this is personally, for our Stanford community, and for the field of medicine.
Sam was an uncommonly talented physician-scientist. As the Virginia and D.K. Ludwig Professor in Cancer Research and director of the Molecular Imaging Program at Stanford (MIPS), Sam earned international recognition as a pioneer of molecular imaging. He authored nearly 700 peer-reviewed articles, several books, filed for 40 patents, and his lab’s work has been featured on dozens of journal covers. But Sam was most proud to see many of his discoveries translate to the clinic, which today benefit patients around the globe.
To many of us, however, Sam was much more: a dear friend. His kindness, sense of humor, and graceful way with people were among his defining qualities and will be sorely missed by those who knew him.
I first met Sam in 2012 when he was serving as co-chair of the search committee that selected me to be Dean. It was then that I immediately understood why he is so revered at Stanford Medicine and across the university. As a leader and as a person, Sam exemplified through his life the best of Stanford and the highest values to which we aspire.
Many of us witnessed Sam’s courage and tenacity during the 21 months that he and his wife Aruna fought for the life of their son Milan, who passed away in 2015 at the age of sixteen. Sam understood the fragility of human health and worked every day to apply his genius to research focused on diagnosing disease in its earliest and most treatable stages.
Sam was an advocate for precision health long before it was popularized. In recent years, he dedicated his life to the early detection of cancer as director of the Canary Center for Cancer Early Detection at Stanford. In 2016, he established the Precision Health and Integrated Diagnostics (PHIND) Center to help create the future he envisioned for health care—a world in which technologies continuously monitor our health to keep us healthy.
Throughout his prolific career, he mentored more than 150 postdoctoral fellows and graduate students. These leaders, representing more than ten disciplines, will carry on his legacy.
I hope that we may come together as a community, virtually and in spirit, to support each other during this difficult time and to share our memories of Sam—a scientific visionary, a trusted mentor, a beloved colleague and friend.
In lieu of flowers, the Gambhir family prefers donations to the PHIND Center, the Canary Center for Cancer Early Detection at Stanford, the Ben and Catherine Ivy Foundation, or The Sanjiv Sam Gambhir Professorship in Translational Medicine.
Sincerely,
Lloyd Minor
Canary’s new: High Grade Serous Ovarian Cancer Initiative. HGSOC is the most common and lethal form of ovarian cancer.
February 4, 2020
Ovarian cancer remains the most lethal gynecologic malignancy in the United States. In 2018, over 22,000 new cases were diagnosed and 14,000 women lost their lives to the disease.
Ovarian cancer is made up of distinct subtypes. High grade serous ovarian carcinoma is 70% of cases, and is the most lethal subtype accounting for over 60% of ovarian cancer deaths.
People who have inherited mutations in BRCA genes are at higher risk for certain types of cancer, including HGSOC. In looking very carefully at the fallopian tubes removed from BRCA mutation carriers, the discovery was made that the fallopian tube was a site of origin for HGSOC – not the ovary itself, but the fallopian tube. This understanding over the past 15 years represents a paradigm shift in the origin of the HGSOC and opportunity for us to better understand how the cancer develops and design better strategies for early detection and prevention.
80% of HGSOC are diagnosed at a late stage!
We want to eliminate deaths from HGSOC by early detection and prevention.
There are currently no effective methods for early detection for ovarian cancer. Substantial progress has been made in identifying the putative precursor lesions for ovarian cancers.
Our focus is to define the role of the fallopian tube microenvironment in the development of high grade serous ovarian cancer, with the ultimate objective to find targets for prevention and markers of early disease onset for early detection. We are tackling the problem from multiple directions to ensure the greatest probability of success.
It is unclear which precursor lesions are likely to progress and/or be associated with invasive disease. A critical knowledge gap is how the various constituents of the fallopian tube microenvironment impact tumor development or progression.
Achieving our goals requires a multi-institutional, multi-disciplinary effort. The team we assembled is made up of gynecologic oncologists, molecular biologists, epidemiologists, pathologists and bioinformaticians. The team is world class and has the requisite expertise to capitalize on complementary molecular profiling. Our research plan leverages powerful, broad-based discovery approaches to tackle this difficult challenge of early detection.
Dr. Heidi Aumen explains more:
