AACR 2026: David Parkinson and the Arc of Modern Cancer Therapy

SAN DIEGO, CA – In 1977, when David R. Parkinson, MD, graduated from medical school at the University of Toronto and moved to McGill University to train in internal medicine and eventually hematology, the idea of medical oncology was in its infancy. In Canada, the profession didn’t exist.

“In Canada, there were no medical oncologists,” Parkinson told Inside Precision Medicine. “Radiation therapists administered what little chemotherapy existed. They resisted the development of medical oncology as a specialty.”

David Parkinson - AACR
David R. Parkinson, MD, recipient of the 2026 AACR Outstanding Achievement Award for Service to Cancer Science and Medicine [The American Association for Cancer Research (AACR)]

Through the ensuing 49 years, Parkinson didn’t just see the rise of kinase inhibitors, antibodies, and cell therapies in real-time—he helped create the world of modern cancer therapeutics.

In reflecting on his remarkable career, which was recognized with the 2026 AACR Outstanding Achievement Award for Service to Cancer Science and Medicine, Parkinson said, “I’ve essentially grown alongside the field.”

From scarcity to structure: Oncology’s early years

When Parkinson arrived in Montreal, there were only a handful of chemotherapeutics available. “In those days, there were only one or two drugs available for hematologic malignancies across the entire field,” Parkinson said. “The main treatments were cyclophosphamide and nitrosoureas.”

Even supportive care lagged. “Initially, we had no effective way to control chemotherapy-induced nausea,” he noted of the standard of care for testicular cancer. “Some patients stopped treatment because they couldn’t tolerate it.”

Parkinson explained that early cancer drugs worked best on rapidly dividing tumors, like leukemias and testicular cancers, because that’s what the animal models represented. These therapies targeted DNA and cell division broadly, often with severe toxicity, and were far less effective against slower-growing solid tumors.

After his residency at McGill, Parkinson moved to Boston, first to Tufts New England Medical Center on a modest Canadian fellowship that placed him at the edge of a field just beginning to coalesce. “I was on a Canadian fellowship earning $12,000 a year,” he said. “The exchange rate fluctuated significantly, which made things difficult, and I couldn’t work due to my student visa.”

What he found, however, was momentum. Through connections with Dana-Farber, Parkinson entered formal training in medical oncology as the specialty began to take shape. “I connected with Dana-Farber and took their introductory course for fellows—that was my entry into medical oncology.”

At the same time, breakthroughs in specific cancers hinted at what might be possible. “What really shaped my thinking was the emergence of treatments for testicular cancer just as I entered oncology,” he said. “Platinum-based therapies—and later combination regimens—felt like miracles. We had never seen anything like it. These were often young patients, difficult to manage, but suddenly there were real cures.”

Targeted therapy and the Gleevec moment

Parkinson’s career soon intersected with early efforts to harness the immune system against cancer—decades before immunotherapy became a dominant paradigm. “I became deeply involved in immunotherapy, particularly interleukin-2 and early tumor-infiltrating lymphocyte studies,” he said.

Working at the National Cancer Institute (NCI), he collaborated with leaders, including immunotherapy pioneer Steven Rosenberg, MD, PhD, maintaining a hybrid role that combined research with clinical care. “At the same time, I continued clinical work for a couple of months each year, collaborating with Steve Rosenberg in the surgical branch.”

These early approaches were technically challenging and often unpredictable, but they laid the groundwork for later advances. “We started with basic approaches, moved to tumor-infiltrating lymphocytes, and eventually to engineered CAR T cells,” Parkinson said. “Progress has been steady, though often slower than those treating patients would like.”

If immunotherapy represented one trajectory, targeted therapy represented another—one that depended on a deeper understanding of cancer biology.

“When I joined Novartis in the late 1980s, we were among the first developing kinase inhibitors,” Parkinson said. At the time, the idea was controversial. “Early skepticism suggested kinase inhibitors wouldn’t work due to high intracellular ATP levels and structural challenges.”

But advances in molecular biology were beginning to change the landscape. The discovery of the Philadelphia chromosome and its associated oncogene created a clear therapeutic target. “The Philadelphia chromosome had been known since the 1960s, and by the 1980s the responsible gene was identified,” Parkinson explained.

The result was imatinib (Gleevec), a drug that would become a prototype for precision oncology. “Eventually, a small molecule inhibitor was developed that targeted it precisely.”

The clinical results were extraordinary. “By the third cohort in a Phase I trial, patients with chronic myelogenous leukemia showed dramatic responses—some within 24 hours,” Parkinson said. “It’s probably the only Phase I oncology trial where essentially every patient achieved remission.”

For Parkinson, the implications extended far beyond a single drug. “Of course, [Gleevec] was a unique case,” he said. “But it proved an important point: what once seemed impossible can become possible.”

Since then, the field has expanded dramatically. Hundreds of kinase inhibitors have been developed, with thousands more explored, reflecting a broader shift toward therapies grounded in specific molecular mechanisms.

Precision medicine—and its limits

As oncology evolved, so too did its language. “For years, we called it ‘personalized medicine,’” Parkinson said. “I used to joke that medicine has always been personalized—you’re always trying to determine what’s best for a specific patient in a specific context.”

He credits industry with popularizing a more precise term. “Although Pfizer popularized the term ‘precision medicine,’ I think it’s a better term,” he added, with a note of humor: “I have a few good Pfizer jokes—best shared over a drink.”

Yet the reality of precision medicine has proven more complex than its promise. “The evolution of therapeutics mirrored the models and biological understanding available,” Parkinson said. “Targeted therapies only emerged once we understood the biology. Diagnostics, however, lagged by about two decades.”

That lag remains a structural challenge. Parkinson founded a diagnostics company based on single-cell signaling technology developed at Stanford. “Technically, it worked—we solved major challenges in instrumentation, standardization, and analysis,” he said. “But we couldn’t establish a viable business model.”

The core issue was reimbursement. “Without adequate reimbursement from Medicare, even highly sophisticated diagnostics struggle commercially,” said Parkinson. “Better diagnostics can reduce the use of expensive drugs by identifying who won’t benefit—something that doesn’t always align with pharmaceutical business models.”

In recent years, Parkinson has focused increasingly on large-scale data integration, including his involvement with the GENIE consortium. The initiative aggregates genomic and clinical data across institutions, aiming to accelerate discovery and improve clinical decision-making. “GENIE has been a technical success,” he said. “But its long-term sustainability remains uncertain.”

The broader challenge, he argues, is conceptual as much as technical. “Looking forward, the field is evolving toward integrating multiple data types—genomics, transcriptomics, imaging, and more—to better understand tumor biology,” he said. “Sequencing alone isn’t enough. The challenge now is not a lack of data, but making sense of it—something where artificial intelligence will play an increasingly important role.”

Back to basics

Across academia, government, and industry—including roles at the NCI, Novartis, Amgen, and Biogen Idec—Parkinson sees a single throughline. “I remember an interview with a biotech company where an HR representative told me, ‘You seem to have done a lot of different things,’” he said. “I responded that I had really only done one thing: trying to improve cancer treatment, just from many different angles.”

Not every effort succeeded. “In one case, we developed a drug that performed beautifully in mice but failed in human trials,” he said. “That’s common in oncology—most ideas don’t translate. You don’t think of it as failure but as learning. Still, there’s a limit to how many ‘learnings’ one can appreciate.”

Reflecting on decades of progress, Parkinson emphasizes both how far the field has come and how much remains unresolved. “Outcomes have improved dramatically across several cancers, especially hematologic ones,” he said.

Yet he underscores a fundamental principle: that progress in cancer treatment comes down to understanding biology. “The better we understand it, the more effectively we can develop targeted therapies,” said Parkinson. “Without that understanding, we’re essentially guessing.”

At AACR 2026, Parkinson’s recognition underscores not just past achievements but a continuing trajectory—one shaped by the interplay of discovery, failure, and persistence. “Despite all the challenges,” he said, “[precision medicine] is still the most promising path forward.”

 

The post AACR 2026: David Parkinson and the Arc of Modern Cancer Therapy appeared first on Inside Precision Medicine.

<![CDATA[Learn more about how sex hormones and prolactin shape brain circuits, revealing new biomarkers and treatment strategies for eating disorders, psychosis, and depression.]]>
<![CDATA[Psychiatry probes why public apologies may manipulate or hinder forgiveness, and what humility and remorse reveal in conflicts from courts to clinics.]]>

Decoding Resistance to Targeted Therapy via New Cancer Models

ATCC and the Broad Institute report the development of engineered isogenic cancer models designed to replicate resistance to targeted therapies, beginning with osimertinib, the latest-generation epidermal growth factor receptor (EGFR) inhibitor used to treat non-small cell lung cancer (NSCLC) with EGFR mutations.

According to the researchers, the work addresses a critical challenge in oncology—treatment resistance that emerges over time. EGFR-mutant lung cancer was among the first subsets of a major epithelial cancer where directly targeting an oncogene was associated with marked clinical benefit. While targeted therapies have significantly improved overall survival, resistance inevitably develops.

cancer drug resistance
Understanding resistance mechanisms is essential for identifying combination therapies capable of producing durable responses and potentially disease-free remissions. [Planet Flem/Getty Images]

Developing resistant models directly from patient tumors can take years due to the scarcity of samples. In contrast, engineering resistance mechanisms in controlled laboratory models allows researchers to systematically study multiple escape pathways much faster.

To accelerate discovery, scientists from ATCC and the Broad Institute collaborated to engineer a panel of drug-resistant NSCLC models using CRISPR gene editing and gene overexpression techniques. These models systematically model the resistance mechanisms that arise in patients treated with osimertinib, note the researchers.

“With this powerful new set of tools, drug-sensitive and drug-resistant cancer cells can be studied side by side to understand therapeutic resistance and the underlying drivers,” says Roth Cheng, PhD, CEO of ATCC. “By creating and providing these cancer models along with a rich data-set to the global research community, our hope is to reveal hidden targets and combination strategies that turn today’s treatment failures into tomorrow’s breakthrough. We look forward to extending this approach to additional cancer types.”

Engineering drug-resistant lung cancer models

Led by William R. Sellers, MD, director of the cancer program at the Broad Institute, Fang Tian, PhD, director of biological content at ATCC, and Francisca Vazquez, PhD, director of the Cancer Dependency Map (DepMap) at the Broad Institute, the team identified representative classes of resistance mechanisms to osimertinib. They then selected three disease-representative, osimertinib sensitive NSCLC cell lines as the foundation for developing the new isogenic drug-resistant cell models.

ATCC engineered the selected authenticated cell lines with resistance mechanisms using CRISPR-based methods. The six resistance mechanisms included: PIK3CA E545K mutation, KRAS G12D mutation, BRAF V600E mutation, EGFR C797S mutation, CCDC6-RET fusion, and TPM3–NTRK1 fusion.

In addition, scientists at the Broad Institute are generating additional resistant cell lines driven by gene amplification mechanisms using overexpression methods.

These engineered isogenic model systems allow researchers to compare genetically matched cancer cells that differ only by a specific resistance alteration—providing a powerful framework to study how tumors evolve under targeted therapy.

The models will be integrated into the DepMap, a global effort to identify genetic vulnerabilities across hundreds of cancer cell models. The collaboration also contributes to the development of a Response and Resistance Map (ResMap), an emerging framework designed to systematically characterize how cancers respond to therapy and how resistance evolves.

cancer researchers
Engineered isogenic model systems allow researchers to compare genetically matched cancer cells that differ only by a specific resistance alteration—providing a powerful framework to study how tumors evolve under targeted therapy. [Sanjeri/Getty Images]

“Drug resistance remains one of the most significant barriers to durable cancer treatment,” said Kirsty Wienand, PhD, senior research scientist in DepMap at the Broad. “Systematically engineering resistance mechanisms in well-characterized cell models allows us to study how tumors adapt to targeted therapy. Integrating these models into DepMap will help researchers worldwide identify new vulnerabilities and potential therapeutic combinations.”

The collaboration ensures that both the biological models and the associated data will be widely accessible to the scientific community, says the research team. Data will be integrated into the DepMap portal, with links to the corresponding ATCC cell line identifiers. In addition, the engineered cell lines will be distributed globally through ATCC following authentication and quality control.

Systematically engineering clinically relevant resistance mechanisms in lung cancer models, the collaboration establishes a scalable framework for studying how tumors escape targeted therapies, explain the scientists, adding that the resulting models and datasets will help researchers identify new vulnerabilities and therapeutic strategies to overcome drug resistance and improve outcomes for patients with cancer.

By combining advanced cell engineering, functional genomics, and computational biology, the collaboration should provide an important resource for studying drug resistance, cancer vulnerabilities, and precision oncology strategies.

 

ATCC and the Broad Institute will present the research findings at the American Association for Cancer Research® (AACR) Annual Meeting 2026, April 17–22 in San Diego:

Title: Engineering isogenic models harboring resistance mechanisms to the latest-generation EGFR inhibitor in non-small cell lung cancer

Session Category: Experimental and Molecular Therapeutics; Session Title: Drug Resistance 2: Tyrosine Kinase Inhibitors

Date: April 22, 2026, 9:00 AM–12:00 PM, Poster Section 11, Poster Board: 8, Poster Number: 7029

The post Decoding Resistance to Targeted Therapy via New Cancer Models appeared first on GEN – Genetic Engineering and Biotechnology News.

The Download: murderous ‘mirror’ bacteria, and Chinese workers fighting AI doubles

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

No one’s sure if synthetic mirror life will kill us all

In February 2019, a group of scientists proposed a high-risk, cutting-edge, irresistibly exciting idea that the National Science Foundation should fund: making “mirror” bacteria.

These lab-created microbes would be organized like ordinary bacteria, but their proteins and sugars would be mirror images of those found in nature. Researchers believed they could reveal new insights into building cells, designing drugs, and even the origins of life.

But now, many of them have reversed course. They’ve become convinced that mirror organisms could trigger a catastrophic event threatening every form of life on Earth. Find out why they’re ringing alarm bells.

—Stephen Ornes

This story is from the next issue of our print magazine, which is all about nature. Subscribe now to read it when it lands this Wednesday.

Chinese tech workers are starting to train their AI doubles—and pushing back

Earlier this month, a GitHub project called Colleague Skill struck a nerve by claiming to “distill” a worker’s skills and personality—and replicate them with an AI agent. Though the project was a spoof, it prompted a wave of soul-searching among otherwise enthusiastic early adopters.

A number of tech workers told MIT Technology Review that their bosses are already encouraging them to document their workflows for automation via tools like OpenClaw. Many now fear that they are being flattened into code and losing their professional identity.

In response, some are fighting back with tools designed to sabotage the automation process.

Read the full story.

—Caiwei Chen

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 The White House and Anthropic are working toward a compromise
The Trump administration says they had a “productive meeting.” (Reuters $)
+ Trump had ordered US agencies to phase out Anthropic’s tech. (Guardian)
+ Despite the blacklist, the NSA is using Anthropic’s new Mythos model. (Axios)

2 Palantir has unveiled a manifesto calling for universal national service
While denouncing inclusivity and “regressive” cultures. (TechCrunch)
+ It’s a summary of CEO Alex Karp’s book “The Technological Republic.” (Engadget)
+ One critic called the book “a piece of corporate sales material.“ (Bloomberg $)

3 Germany’s chancellor and largest company want looser AI rules
Chancellor Merz said industrial AI needs ‌more regulatory freedom. (Reuters $)
+ Siemens says it plans to shift investments to the US if EU rules don’t change. (Bloomberg $)
+ Fractures over AI regulation are also emerging in the US. (MIT Technology Review)  

4 Nvidia’s once-tight bond with gamers is cracking over AI  
Consumer graphics cards are no longer the priority. (CNBC)
+ But generative AI could reinvent what it means to play. (MIT Technology Review)

5 Insurers are trying to exclude AI-related harms from their coverage
And escape legal liability for AI’s mistakes. (FT $)
+ AI images are being used in insurance scams. (BBC)

6 AI is about to make the global e-waste crisis much worse
And most of the trash will end up in non-Western countries. (Rest of World)
+ Here’s what we can do about it. (MIT Technology Review)

7 Tinder and Zoom have partnered with Sam Altman’s eye-scanning firm
To offer a “proof of humanity” badge to users. (BBC)

8 Islamist insurgents in West Africa are driving surging demand for drones
A Nigerian UAV startup is opening its first factory abroad in Ghana. (Bloomberg $)

9 Hundreds of fake pro-Trump AI influencers are flooding social media
In an apparent bid to hook conservative voters. (NYT)

10 A Chinese humanoid has smashed the human half-marathon record
Despite crashing into a railing near the end of the race. (NBC News)
+ Chinese tech firm Honor swept the podium spots. (Engadget)
+ Last year, humans won the race by a mile. (CNN)

Quote of the day

“This is the only issue where you’ve got Steve Bannon and Ralph Nader, Glenn Beck and Bernie Sanders fighting for the same thing.”

—Ben Cumming, head of communications at the AI safety nonprofit Future of Life Institute, tells the Washington Post that diverse public figures are endorsing a declaration of AI policy priorities.

One More Thing

International Space Station photographed from space with Earth in the distance

NASA


The great commercial takeover of low Earth orbit

The International Space Station will be decommissioned as soon as 2030, but the story of America in low Earth orbit (LEO) will continue. 

Using lessons from the ISS, NASA has partnered with private companies to develop new commercial space stations for research, manufacturing, and tourism. If they are successful, these businesses will bring about a new era of space exploration: private rockets flying to private destinations.

They will also demonstrate a new model in which NASA builds infrastructure and the private sector takes it from there—freeing the agency to explore deeper and deeper into space. Read the full story.


—David W. Brown

We can still have nice things

A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ Bask in thisadorable test of a dog’s devotion.
+ This vocal pitch trainer improves your singing straight from your browser.
+ Master international etiquette with this interactive guide to the world’s cultures.
+ Explore the networks of public figures with this intriguing interactive graph

Short-term intrinsic connectivity changes induced by cognitive exertion in healthy participants

IntroductionChanges in brain intrinsic connectivity on the timescale of minutes, as provoked by a cognitive task, have not been well documented.MethodsA total of two 7.5-min 7 Tesla functional MRI (fMRI) scans (Run 1 and Run 2), separated by 90 s, were acquired for 23 healthy participants during cognitive exertion induced by the Stroop color–word interference task. Independent component analysis (ICA) of the paired Run 1 and Run 2 fMRI acquisitions identified components with distinct spatial and temporal signatures.ResultsThe spatial extent of the ICA components coincided with hubs of the brain’s intrinsic networks. In addition, these components correlated with brain regions from other networks, thereby defining inter-network connectivity. Run 1 and Run 2 showed significantly different patterns of connections (p-FWE < 0.01) across 10 ICA-identified intrinsic networks and 20 inter-networks. Connectivity in Run 2 was higher in 12 nodes and lower in eight nodes, indicating dynamic changes during the task response. Overall, the right angular gyrus/supramarginal gyrus and the right frontal pole regions of the ventral attention network showed greater activity in Run 1, but activity shifted to the fusiform gyrus, supplementary motor area (SMA), and precentral and postcentral gyrus nodes in Run 2. Response times (RTs) and Stroop test accuracy did not change between runs in these healthy participants.ConclusionInter-network connectivity indicated that surveillance and task oversight nodes were required early in learning how to complete the Stroop task (Run 1), but these were replaced by object recognition and more automatic responses in Run 2. These findings define inter-networks that are sensitive to cognitive exertion and provide a framework for understanding cognitive dysfunction.

Altered static and dynamic regional homogeneity in basal ganglia–thalamocortical circuits and their association with neuropsychiatric manifestations in Wilson’s disease

PurposeWilson’s disease (WD) is an autosomal recessive disorder caused by ATP7B mutations, resulting in impaired copper metabolism and progressive neuropsychiatric manifestations. This study investigated spatiotemporal alterations in regional brain activity using static and dynamic resting-state fMRI with regional homogeneity (ReHo), and their relationships with clinical features.MethodsResting-state fMRI data were acquired from WD patients and healthy controls (HCs). Static and dynamic ReHo analyses were performed to characterize local synchronization strength and temporal variability of spontaneous neural activity. Group differences were assessed across the basal ganglia, thalamus, cerebellum, and cortical regions. Associations between altered ReHo metrics and clinical measures were evaluated with FDR correction for multiple comparisons.ResultsCompared with HCs, WD patients exhibited widespread ReHo abnormalities involving the basal ganglia (putamen and globus pallidus), thalamus, cerebellum, and cortical regions. Static ReHo in the left putamen and globus pallidus was positively associated with anxiety severity, while right putaminal ReHo was negatively associated with neurological severity and positively associated with disease duration. Dynamic ReHo in the left middle frontal gyrus showed negative associations with depression severity and disease duration. All brain–behavior correlations survived FDR correction, indicating robust effects.ConclusionWD is characterized by disrupted spatiotemporal organization of local functional synchronization within cerebellar and basal ganglia–thalamo–cortical circuits. These findings support a network-level dysfunction model involving subcortical synchronization deficits and cortical temporal instability, which together underpin neuropsychiatric manifestations and disease progression.

Neurobiological effects of microbial treatments within psychiatry: a systematic review

ObjectiveThough microbial interventions such as probiotics and fecal microbiota transplantation have had a growing body of evidence suggesting their efficacy in alleviating the symptoms of psychiatric illnesses, their exact mechanisms of action and impacts on the brain are still not fully characterized. The aim of this review is to compile and summarize the current literature regarding neurobiological changes associated with microbial interventions targeting psychiatric symptoms in healthy and psychiatric populations.MethodsA systematic search of four databases was conducted using key terms related to neuroimaging, microbial interventions, and psychiatric illnesses and/or symptoms. All results were then evaluated based on specific eligibility criteria.Results10 studies met eligibility criteria and were included in this systematic review. Three of the five healthy control studies and all five of the studies conducted within psychiatric populations, observed significant neurobiological changes associated with probiotic intervention either in areas with psychiatric relevance, in the direction of a healthier profile, or correlated with improved psychiatric and/or affective symptoms. The interventions used in these studies consisted of probiotics with bacterial species primarily from the lactobacillus and bifidobacterium genera, at doses ranging from 1–900 billion CFU, taken for durations ranging from 4 weeks to 6 months.ConclusionsThe findings from this review suggest that probiotic intervention may be associated with neurobiological changes, and that these changes could play a role in ameliorating psychiatric symptoms. More research is needed to replicate these findings, explore other psychiatric populations and microbial interventions, and fully elucidate the mechanisms driving these promising neurobiological and clinical changes.