Staging a level playing field
Hsieh’s lab in the Human Biology Division of Fred Hutch focuses on the role of translation in cancers of the prostate and bladder and how it affects runaway tumor growth.
Translation involves messenger RNA, a go-between molecule that copies DNA codes for building proteins and then delivers those work orders to the cell’s many protein factories, which are called ribosomes.
The ribosomes read the mRNA transcripts and translate genetic sequences into amino acid sequences. The resulting amino acid chains eventually fold into a multitude of proteins that are essential for cell survival.
When Hsieh came to Fred Hutch in 2014, he was among the few researchers in the world who studied the role of mRNA translation in cancer.
Most research at the time focused on earlier stages of the protein-making process such as cancer-causing mutations in the genes themselves and cancer’s exploitation of transcription to stamp out work orders favorable to cancer’s growth, spread and survival.
Until recently, translation of those work orders has been considered a relatively straightforward, generic process that warranted little attention because the important action driving cancer usually occurs much further up the line.
Hsieh’s research, as well as others, has shown that mRNA translation isn’t so straightforward, especially in aggressive prostate cancer that evolves to evade therapy.
But figuring out how translation matters for treating cancer has generated conflicting explanations.
“Our work has shown that if you inhibit translation, that has an anti-cancer effect in prostate cancer,” Hsieh said. “Other people have shown that if you ramp up translation, that also kills prostate cancer.”
Some drugs for aggressive prostate cancer inhibit translation and some promote it, but these results come from different labs using different cell lines or other preclinical models.
“We're making these conclusions, but we're comparing apples to oranges in terms of the models,” Hsieh said.
Mishra, one of the postdoctoral researchers in the Hsieh Lab, devised a way to stage a head-to-head competition among known inhibitors and promoters of translation using the same preclinical model and method to ensure apples-to-apples comparisons.
“Rashmi came up with a clever screen to level the playing field,” Hsieh said. “That's where the whole thing started.”
It took about a year to gather all the contestants for her screen: a handful of drugs or compounds in development that either hit the brakes on translation or floor the gas pedal. They applied the contestants to a variety of tumor cells that varied by how responsive they were to standard therapy.
The clear winner turned out to be a brake that inhibited translation, but the results of the screen were so surprising that it spurred them to figure out exactly how that brake works.
Understanding how the clear winner in the screen works
The mRNA translation process requires the assembly of the ribosome — a molecular complex that is separated into a small piece and a big piece when it’s in stand-by mode waiting for an mRNA to translate.
First, the small piece latches on to a handle tucked into the protective cap at the end of an mRNA strand. After a quick scan of the code to find the right starting place, the big piece joins the small piece, and the two halves lock onto the strand like pursed lips slurping a noodle.
All the grabbing, scanning, assembling and slurping that initiates translation comes together with helper proteins called eukaryote initiation factors, or eIFs.
One of those helper proteins, eIF4E, kicks the whole thing off by grabbing the handle at the business end of a messenger RNA.
When this helper’s activity is elevated in cancer, it acts like a gatekeeper, selectively grabbing mRNA transcripts for translation that will help the cancer grow and spread.
The winning brake in Mishra’s screen is a cap-inhibitor drug that interrupts the process by lodging itself in the grabby area of eIF4E, causing it to grab the drug instead of an mRNA.
Fewer mRNA transcripts get grabbed and translated into proteins, which disrupts cell growth.
But Mishra discovered that the cap-inhibiting drug doesn’t work equally well on all kinds of tumor cells. For example, it doesn’t work on cells that are still vulnerable to standard therapy. It only slams the brakes on the more lethal kind that have become drug-resistant.
Why only those?
To answer that question, Mishra needed to figure out precisely which proteins are affected by the cap inhibitor.
Developing a technique to identify newly made proteins
Conventional ways of measuring protein synthesis don’t discriminate between newly made proteins and all the proteins already floating around in the cell before the drug is administered.
So, Mishra coupled a new biochemistry technique that isolates newly produced proteins with mass spectrometry, providing a more accurate snapshot of translational activity at specific times to measure the drug’s effect on protein production.
“We can quantify how much active protein synthesis is happening in whatever time frame we want to look at,” Mishra said.