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Special Report on Cancer: An ever-evolving picture

Cancer heterogeneity can make therapy feel like whack-a-mole
Written byRandall C Willis
| 27 min read

Special Report: Cancer

An ever-evolving picture

Cancer heterogeneity can make therapy feel like whack-a-mole

By Randall C Willis

It’s summer and your family has decided to take a cottage vacation. Without television, internet or cell service, the nights are quiet; too quiet for the kids. Scrounging for activities, you find an old jigsaw puzzle and hope that all the pieces are still there.

At first, the kids don’t buy into it; but after assembling one edge and a chunk down the middle, they become more engrossed in the activity. And just as everyone finally goes for broke, something odd happens: the picture changes.

Pieces that once fit together, no longer do, and in frustration, you pull sections of the puzzle apart to reassemble them a different way…only for the photo to change again…and again…and again.

Sure, the family is occupied, but for how long? How many times can they restructure the puzzle until they finally give up?

Unfortunately, for a lot of cancer patients and the oncology teams treating them, giving up isn’t really an option. Giving up on the puzzle potentially means giving up on life itself, because the constantly morphing puzzle is the cancer itself.

Malignancies that once responded to treatment no longer do, whether because of acquired drug resistance mutations or because drug-tolerant or drug-resistant cells that once formed the minority of the cell population have become predominant.

Understanding change

“Tumor heterogeneity contributes to the adaptive potential of tumors and plays key roles in resistance to treatment,” offers Derek Ostertag, director of R&D Diagnostics at Tocagen. “The more heterogeneous a tumor is, the more rapidly it will likely acquire treatment resistance.”

And it is this evolving resistance that continually thwarts efforts to treat patients with even the most targeted of therapies.

George Karlin-Neumann, scientific affairs director for Bio-Rad’s Digital Biology Center, recalls the initial excitement over the impact of vemurafenib, targeting BRAFV600, on melanoma, describing the rapid and widespread disappearance of skin nodules—the difference between the before and after panels—as magic.

“But what wasn’t on the Nature cover was the third panel, which we now see at conferences, which was that [the nodules] came back—and at the same sites, too,” he says ruefully.

“I think we always knew that [heterogeneity] was a problem because basically, it is almost a rule that every patient who gets a partial remission of their cancer ultimately progresses,” adds Stephen Marcus, CEO of Cantex Pharmaceuticals. “Something happens that changes the tumor and makes it resistant to therapy.”

“With the targeted therapies, people were optimistic that if you had a great target and you hit the target, then the cell would die,” Marcus continues. “It turns out that the cell evolves and evades those targeted therapies.”

Adding to the complexity of tumor heterogeneity is that genetic mutations are not the only intrinsic factors that may change. Rather, according to Xiao-Xiao Sun and Qiang Yu of the Shanghai Institute of Materia Medica, epigenetic changes may also have significant impact.

“Studies on [cancer stem cells; CSCs] suggest that a small number of cells in a tumor undergo epigenetic changes, similar to the differentiation of normal stem cells, to form phenotypically diverse non-tumorigenic cells that compose the bulk of the cells in a tumor,” the researchers wrote in Acta Pharmacologica Sinica last year. “Direct evidence of differences in epigenetic changes between tumor subpopulations have also emerged.”

Similarly, they suggested, changes in methylation patterns can be quite chaotic and constantly evolving throughout tumorigenesis, having significant impacts on gene expression patterns from cell to cell and over time. Such expression differences can lead to alterations in cell fate between sister cells and in the responses of signal transduction cascades to environmental factors.

As Ostertag points out, however, the source of heterogeneity may not be restricted to the tumor itself.

“Our understanding has expanded to recognize that tumor heterogeneity refers not only to the genetic diversity that exists in each patient’s tumor, but also to the diversity in the tumor microenvironment,” he explains. “This can include physical barriers—e.g., extracellular matrix (dis)organization, necrosis, hypoxia, fibrotic tissue—a varied supporting cast of non-cancerous cells that have evolved with the tumor, varying degrees of infiltrating immune cells and diversity in the tumor microbiome.”

Thus, the oncology researchers and clinicians are met with a cascade of factors than can complicate not only decisions on potential therapeutics and possible treatment regimens, but also the fundamental prognosis of the patient.

In January, Luc Morris and colleagues at Memorial Sloan Kettering Cancer Center published their efforts to identify correlations between intratumor heterogeneity (ITH) and overall survival. Publishing in Oncotarget, the researchers analyzed clinical and genetic data from almost 3,400 tumors across nine cancer types.

“Genetically heterogeneous tumors, comprised of multiple subclonal populations, tend to be associated with poorer patient survival than tumors harboring low/moderate levels of intratumor heterogeneity,” the researchers noted. “We found that the prognostic value of ITH was significant in many cancer types, and in multivariable analyses, remained significant when controlling for other relevant clinical, pathologic and molecular features.”

They also noted an inverse correlation between ITH and immune cell infiltration across all cancer types, although immune infiltration did not appear to mediate the poorer survival trend.

Adding yet another layer of complexity is the challenge that heterogeneity can occur between tumors within a single patient.

In February, Ryan Corcoran of Massachusetts General Hospital Cancer Center and colleagues highlighted this challenge, monitoring drug resistance acquisition in colorectal cancer metastases with radiographic imaging as well as next-generation sequencing and Droplet Digital PCR (ddPCR) analysis of tissue and liquid biopsies.

As they described in Cancer Discovery, when a tissue biopsy suggested a MEK1 mutation in a single progressing liver metastasis, the clinicians switched the patient from treatment with cetuximab to a combination of panitumumab and trametinib. As hoped, imaging revealed that the lesion harboring the MEK1 mutation responded, corroborated by ddPCR analysis of circulating tumor DNA (ctDNA).

Unexpectedly, however, another metastasis progressed during treatment and was shown to carry a KRAS resistance mechanism, something missed by the original tissue biopsy. The secondary resistance pathway highlights the challenge of lesion-specific response to targeted therapy.

“Our original single-lesion biopsy was not sufficient to capture the molecular heterogeneity of this patient’s cancer and failed to detect the simultaneous presence of an additional resistance mechanism (KRAS mutation) that eventually led to treatment failure,” the researchers wrote. “However, both mutations were readily detectable in ctDNA from blood collected prior to combinatorial therapy.”

“Not only did real-time ctDNA analysis enable identification of a second resistance mechanism not captured by the single-lesion biopsy, but it did so while the patient still appeared to be responding to therapy, thereby predicting both the timing and cause of impending treatment failure,” they continued.

Despite the success in this example, however, the measurement and identification of ctDNA (or cell-free DNA; cfDNA) isn’t without its own susceptibility to heterogeneity, as even a single cancer can behave differently when examined at different time points or stages of development. This point was demonstrated earlier this year by Geoffrey Oxnard and colleagues at Dana-Farber Cancer Institute in JAMA Oncology.

The researchers used ddPCR to genotype cfDNA for EGFR and KRAS mutations in patients with newly diagnosed advanced non-small cell lung cancer (NSCLC) and those with acquired resistance to EGFR kinase inhibitors. Primarily, they wanted to determine the feasibility and accuracy of such assays, but they also wanted to determine the diagnostic turn-around time vs. traditional tissue genotyping.

Although the plasma ddPCR assay was highly predictive for all of the mutations tested, the sensitivity of the assay was lower for some mutations than others. What was more interesting, however, was that the sensitivity increased significantly in patients with hepatic and bone metastases and in those with increased number of metastatic sites.

“This newly demonstrated relationship is likely related to increased cfDNA shed in the setting of more extensive disease where tumor cfDNA shed is the chief driver of assay sensitivity and determines its upper limit,” the authors wrote.

Perhaps just as importantly, the researchers were able to identify plasma genotypes within two to three days of a blood draw, a dramatic improvement over the turn-around time for tissue genotyping of 12 (newly diagnosed) or 27 (resistance) days.

Thus, even with reduced sensitivity, the ability to know that information sooner may prove helpful.

“If you can get half the patients and figure out what to do and do it more quickly, it’s beneficial for them,” opines Karlin-Neumann. “For the other ones, I’m sorry that I can’t help you as quickly as I might like to, but we can still do something else [e.g., tissue biopsy] that might tell us what to do.”

Modeling chaos

Given this molecular maelstrom, much effort has gone into trying to mimic the heterogeneity in the lab setting to hopefully understand it better, as well as develop better assays for therapeutic screens. And as Megan MacBride, associate director of product management at Taconic Biosciences, explains, modeling this complexity has meant an expansion from simple cell cultures.

“Cell lines are very simple tools, very homogenous,” she says. “It really gives you a go/no-go, but it doesn’t give you the clinical relevance.”

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