My current “impractical” project is building a comprehensive list of interventions that cause >20% complete tumor regression in metastatic solid tumors. Basically, the hardest of hard modes for cancer.
I don’t think I’m quite done (will put it up in a post when I’m satisfied), but here’s what I’m seeing so far.
1. There are some things I don’t expect to generalize much. Stereotactic radiation for lung metastases & intratumoral injections of Nasty Stuff for skin metastases — great where available but you can’t always access the tumors.
2. Metastatic melanoma is immunogenic, so it actually gets infiltrated by lymphocytes. If you expand those, and maybe transfer them with some specific target, you can strengthen that response and kill the tumors. But won’t work for many other cancers.
That’s really all we got for human studies; TILs, physical localization, and a couple cases where targeted therapies work on narrowly targeted populations. (Exemestane on hormone-positive breast cancer, erlotinib on EGFR-positive lung cancer, etc).
Animal studies are more exciting. (And, of course, less likely to translate.)
One cool thing is that there are a few trials of experimental treatments on companion animals. Dogs and cats.

So these are spontaneous tumors, more like someone actually getting cancer than injecting a healthy young mouse with a tumor cell line.
So one thing that sometimes works in dogs with metastatic cancers is transfecting them with the IL-12 gene, which is an anti-tumor cytokine. Gene therapy!
Another dog therapy (melanoma-specific) that replicated a couple times is a DNA vaccine that just straight-up kills the melanocytes. No melanocytes? no melanoma!
Can you really do this? Don’t you need your melanocytes? Well, I think these are local injections so you don’t lose *all* of them, just near the skin metastases?

People with vitiligo don’t have symptoms except the patches of pale skin, it seems, so I guess it’s fine.
Another dog therapy that was used on melanoma but doesn’t seem specific to it, was an AAV gene delivery of CD40L to the metastases. This activates dendritic cells and other anti-tumor immune responses.

Might be hard to get into disseminated tumors, though.
Moving into mice, we get less realistic tumor models, but way more studies, including quite a few with 100% complete tumor regressions in metastatic tumors.
A lot of these are gene or cell therapies expressing strongly tumoricidal stuff in the TNF family:

mesenchymal stem cells expressing TRAIL, AAV expressing TNFSF14, etc
Also intriguing: CAR-T working on metastatic pancreatic cancer! siRNA knockdowns of Met! Using Listeria as a gene delivery mechanism?!
One nice thing about gene therapy is that it is naturally local. You can either just inject it into the tumor, or you can inject it systemically but target the delivery mechanism to the type of tissue you want.
Interesting tradeoffs there. If you physically put it in the tumor you’re limited to reachable tumors; if you try to target it, your targeting mechanism might be noisy.
Fortunately, sometimes doing immunotherapy to the main tumor will simultaneously regress distant hard-to-reach metastases.
These guys have a targeted AAV that delivers IL-2 and TNF-alpha to cells with surface markers indicative of rapid cell division. https://tiltbio.com/ 
I don’t know if this is irrational, but I feel good about TNF-alpha because it’s so basic. It directly causes an innate-immune inflammatory response & phagocytosis.

I don’t know enough immunology to have confidence in adaptive immune mechanisms. But I *know* TNF kills shit.
If you’re trying to make predictions about how experimental therapies will turn out, you need either super-specific domain expertise (not me!), overwhelming experimental evidence (by which point your take is stone cold) or SIMPLE mechanisms. I like simple.
Basically, the “safe”, reliable way to build a cancer therapy is to have an “if-then” agent. “If cancer, kill cell.”

The killing part is easy. Lots of very reliable cell-killing toxins, apoptosis genes, etc. We’ve known how to kill a cell since the 19th century.
The “if” part is the hard part. How do you select for all the cancer without getting too much of the non-cancer? Esp. given that cancer is diverse and evolves?
Most effective cancer therapies actually dodge the question.
Chemo and radiation kill everything they touch, but kill cancer a bit faster than they kill the rest of you, taking advantage of cancer’s rapid cell division and genetic instability.
CAR-T therapies for leukemia and lymphoma mostly target their T-cells to kill the *entire cell category* affected by cancer. All the B cells, for instance. No B cells? no B-cell lymphoma!
Lots of monoclonal antibodies are the same way. Rituximab is an anti-CD20 chimeric antibody. Kills all your B cells.
If you can just *point* and say “here’s the tumor, kill THIS”, that’s great. Surgery, targeted radiation, stereotactic radiation, etc. Trouble is, it tends to miss microscopic or otherwise undetected cancer cells.
Immune therapies often hope to dodge the question another way. “Your body already knows how to attack cancer; let’s take away a barrier and let it do its thing more!”

Hence, CTLA4 and PD1 antibodies; tumor-infiltrating lymphocytes; etc.
“Strengthen anti-tumor response” can be very effective, but seems very hard to make a priori predictions about. You don’t know it’s gonna work till it does. (At least I don’t.) Jim Allison’s earned his Nobel, but I can’t guess who the next Allison’s going to be.
What seems intriguing to me is to find a “universal indicator of cancer” and a way to attach a “detector” to a local “kill-switch” (like expressing a cell death signal in that specific cell.)
There’s a reason for this: the Warburg Effect. Cancer cells do a lot of glycolysis.

I’ve played around a bit with tumor metabolomics data, and principal component between “tumor” and “normal” cells, across tumor types, is all glycolysis-related metabolites. It’s hard to miss.
Glycolysis makes lactic acid. Dissolve lactic acid (like any acid) in water and it releases positively charged hydrogen ions, leaving negatively charged lactate.
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