Gut bacteria from amphibians and reptiles achieve tumor elimination in mice
77 comments
·December 17, 2025kinj28
I have been working with my dad on his cancer treatment since last year. My interest in the topic has only peaked ever since.
(Disclaimer- I am an engineer and not a microbiologist/doctor)
Mutations and wrong copying of genome happens all the time in the body and some enzyme has the job of correcting the mutated genes so it doesn’t get into the system. Level 2 defence is T cells killing it as identified as foreign body.
Thing that baffles me is that I see most work happening to eliminate tumor. To me it sounds a tough problem given the permutation and combination of mutation— roughly few trillions.
But I was curious if there is working happening on L1 defence — fixing the enzyme that fixes the wrong copy paste mechanism. Or making the enzyme get more efficient and powerful. Is that line of thought even valid?
jjk166
Our L1 defense is actually incredibly good. A human will undergo about 10^16 cell divisions over the course of their lifetime. Around 10^3 to 10^6 of those divisions will result in a mutation that gets past the L1 defenses and need to be eliminated by the T cells. It's not generally easy to make dramatic improvements to something with a 99.9999999% success rate.
The immune system is pretty good too, which means any given improvement to the replication system is, all else being equal, probably going to prevent mutations the T cells would already handle. If you need to do the research to figure out what's getting past the immune system anyways, and improving the immune system is lower hanging fruit, it's the logical place to start.
comp_bio
This is a fascinating niche of evolutionary biology that I have worked in for a while. The short answer is that yes, as far as we can tell all organisms evolve increasingly more efficient replication machinery, however at some point the strength of selection is no longer powerful enough to overcome the strength of genetic drift and some degree of error rate persists. As far as we can tell it seems like population size governs where this balance ends up such that small populations have high mutation rates and large populations have reduced mutation rates. Michael Lynch coined the term drift barrier hypothesis to describe this phenomenon. https://pubmed.ncbi.nlm.nih.gov/23077252/
ajuc
If the organism is too efficient at preventing mutations - it would evolve slower, right?
teekert
It starts with mutations (sometimes accelerated by mutagens (smoke, alcohol, etc) or inflammation (viruses, infections, etc) or just chance (things like asbestos up the division rate by constant physical damage and thus up the probability or an error in copying).
But there is much more to it. This is a nice paper for an overview: Hallmarks of Cancer (tng) [0]. It (among others) adds the very important and for years underestimated role of the immune system to the original 2000 paper.
yes_man
Cancer sucks and I wish your father the best.
Also not a doctor or microbiologist, but just wanted to share my layman’s guess on why fixing enzymes will not completely solve the issue: there’s 2 strands of DNA and to fix the broken (mutated) strand you need to have one correct template strand intact so you know what it should be fixed into. It could be the nucleotides swapped places between strands or are deleted completely or otherwise both mutated, which would mean any repair will not revert the sequence to what it used to be.
The other comments so far are probably more informed.
kinj28
What I meant was there are collection of genes responsible for error correction. If there is a failure in duplication then these genes have not done their job.
Thought experiment, again as a layman, was to see if these genes responsible for error correction at the base level can be fixed or bolstered and that will act like a cancer vaccine. But looks like from other comments that this is even more harder!
mechsy
Cancer sucks, I wish all the best towards a recovery.
You’d also have to ‘fix’ DNA: unless we can re-engineer a bunch of key enzymes and then re-encode the entire genome (or maybe key parts) with forward error correction without breaking everything else, it might work. You might also break evolution to some degree by making random point mutations less likely.
But what I learned so far is that as soon as you’d attempt something like this in bacteria, the fitness advantage from an evolutionary standpoint is negligible compared to the efficiency loss introduced by FEC, so your colony would get outcompeted by other bacteria unless there is a niche your resistant bacteria survive in (high radiation environments?). The efficiency loss induced ‘disadvantages’ would probably be less pronounced in mammals though - If (big if) you manage to not also break anything essential in the wonderful yet surprisingly efficient Rube Goldberg machine that is life.
biotechbio
While cancer is caused by mutations in the genome, these mutations in turn produce the unifying property of cancer: unchecked cell replication.
Most cell types have systems to safely manage replication. Broadly, there are gas pedals (oncogenes) and brakes (tumor suppressors). A classic oncogene is something like RAS, which activates a signaling cascacde and stimulates progression through the cell cycle. A canonical tumor suppressor is something like TP53, the most frequently mutated gene in cancer, which senses various cellular stresses and induces apoptosis or senescence.
Most cancer genomes are more complicated than individual point mutations (SNPs), insertions, or deletions. There are copy number alterations, where you have > or < 2 copies of a genomic region or chromosome, large scale genomic rearrangements, metabolism changes, and extrachromosomal DNA. There is a series on the hallmarks of cancer which is a useful overview [1].
All of the mechanisms that intrinsically regulate cell growth would fall under your "L1 defense". Unfortunately, the idea of reversing somatic point mutations is likely to be a challenging approach to treating cancer given the current state of technology.
First, for the reasons above, cancer is often multifactorial and it would be difficult to identify a single driver that would effectively cure the disease if corrected. Second, we don't have currently delivery or in vivo base editing technology that is sensitive or specific enough to cure cancer by this means. There are gene therapies like zolgensma[2] which act to introduce a working episomal (not replacing the damaged version in the genome) copy of the gene responsible for SMA. There are also in vivo cell therapies like CAR T which attempt to introduce a transgene that encodes for an anti-cancer effector on T cells. These sorts of approaches may give some insight into the current state of art in this field.
Edit: also I should note that the genes involved in DNA repair (PARP, BRACA1/2, MSH2, MLH1, etc) are frequently mutated in cancers and therapeutically relevant. There are drugs that target them, sometimes rather successfully (e.g. PARP inhibitors). But the mechanisms of action for these therapies are more complicated than outright correcting the somatic mutations.
1. https://aacrjournals.org/cancerdiscovery/article/12/1/31/675... 2. https://en.wikipedia.org/wiki/Onasemnogene_abeparvovec
kace91
100% response, zero side effects?
This sounds like world changing news. Can anyone with domain expertise explain the catch, if any?
estearum
The catch is that there are thousands of promising therapies in animal models/pre-human testing. A very very tiny fraction of them will ever make it to market for a variety of both good and not-good reasons.
null
colordrops
What's the difference between a good and not-good reason to not go to market?
3eb7988a1663
Prevalence of the disease - if it only impacts 1/100 million, going to be hard to ever find sufficient patient population to test and recoup your investment.
Existing quality of treatments - if there are already efficacious drugs on the market - how sure are you that this new therapy will be best in class? Only being as good as the status quo is not an ideal competitive position. Conversely, if there is an unmet need because a disease is so lethal/debilitating, regulatory agencies can give latitude in approvals.
Likelihood patient compliance - if it is the most effective drug in the world, but requires intravenous infusion six times a day - nobody is going to adhere to that. GLP drugs are effective, but there is a needle-phobia that is preventing patients getting on board with the idea. Which is why there is an arms race for the first company to develop an oral version.
Toxicity - all chemicals are poisonous. Yet some have a lower therapeutic window than others. If you drug does what it should, but if you take 2x as much and it gives you a heart arrhythmia that is going to be a tough approval for anything but the most deadly conditions.
estearum
Good reasons:
* Most drug candidates just don't work
* Even among the drug candidates that do, figuring how to safely deliver them to their target is very hard (looks similar to "just doesn't work")
Bad reasons:
* It's too expensive to prove that a drug works
* It's too difficult to differentiate the patients for whom a drug works and the patients for whom it does not
* It is very hard to predict recruitment and to actually recruit patients for clinical trials
* There aren't enough people with the disorder who are also rich enough to afford treatment to justify development
hyc_symas
A lot of potential treatments are too easily available and can't be patented. If a big pharma company can't make massive profit from it, they won't bother bringing it to market. Consider that a not-good reason.
Other treatments may eventually prove to have too many serious negative side effects. That's a good reason to abandon them.
null
sinnickal
isolli
In case people don't want to click on a random link, it is actually quite interesting:
Crocodile blood antibiotics hope
Scientists are catching crocodiles and sampling their blood in the hope of finding powerful new drugs to fight human infections.
Even horrific fighting wounds on the animal heal quickly
stephc_int13
I was impressed by the clarity and terseness of this little article. Is it common practice in the case of scientific articles coming from Japan?
kasperset
https://www.tandfonline.com/doi/full/10.1080/19490976.2025.2... Link to the research article. Are you referring to the news release?
Smileyferret
Interesting article, but in the full paper their key figure (Fig 2) shows their treatment group of n=3 mice completely responded to the bacterial treatment, but their methods say they treated n=5 mice? Could be an honest mistake but that’s a little concerning for data manipulation.
Also agree that using a PD-L1 mab feels like it’s for show especially considering the cancer model they’re using (Colon-26) was shown to be substantially less responsive to PD-L1 inhibitors…
Not the world’s best paper imo
anotherpaul
Yes in figure 2 it's 3 mice, next figure 3 they also have 5 (panel e)
nine_k
Still the idea is beautiful. Since tumors are oxygen-deficient and suppress the immune response, anaerobic bacteria would proliferate there, and wreak havoc, while in the healthy parts of the organism they would be rapidly eliminated. Additionally, since the bacteria accumulate in the tumor, and the immune system has just responded to their invasion, T-cells will flock to the tumor, destroying what remains of it in due course.
As they say, "the fame of a mathematician is measured by the number of poor papers", because pioneering works are often awkward, treading completely unknown ground. Maybe the same applies to biology sometimes?
johnwheeler
I have never once seen a promising cancer treatment I've heard of on the news help people. You hear about the breakthrough treatments all the time, but when people get cancer, all you ever hear about is people getting chemotherapy and radiation. Same old scary shit.
Well, I guess Leukemia has been somewhat cured I heard, so that's pretty huge. When I was a kid it was a death sentence IIRC.
tombert
I'm not a doctor, but in some fairness, I think there has been a lot of progress in chemotherapy and radiation. "Increasing 5-year-survivability by 0.5%" doesn't make a fun sexy headline, but that's still an achievement that required a lot of hard work and enough of those happening still adds up.
I agree with your overall point though; it's a little annoying that every few weeks we hear about a new experiment that seems to indicate that we'll have a radically new and effective form of treatment for cancer only for it to never materialize.
bruce511
"Cancer" is a term that covers a lot of diseases. So there is a lot of research going into a lot of different things, and hence lots of announcements.
"Chemotherapy" again is a loaded term covering a lot of different drugs, drug combinations, protocols and so on. So yeah, a lot of cancer treatment us "chemo" - but today's chemo is far removed from 2000 chemo.
5 year survivability has increased tremendously over the last decades. We're not talking 0.5% here, breast cancer for example has gone from 72% to 93%. Early detection of prostrate cancer has near 100% survivability.
But you're right, improving survivability doesn't make for sexy headlines. Yes there's a social media appetite for "breakthroughs", but the underlying "boring" stuff is doing well, and getting better all the time. It's just not "news".
mcmoor
There's also AIDS that I heard have been practically cured. Since then I have became less pessimistic about drug progress
asdff
Keytruda (pembrolizumab) has been pretty monumental.
inshard
This segment about the mechanism is simple and very profound. I wonder if any cancer researchers here could comment on its universality across various types of cancers:
"Tumor-Specific Accumulation Mechanism
E. americana selectively accumulates in tumor tissues with zero colonization in normal organs. This remarkable tumor specificity arises from multiple synergistic mechanisms:
Hypoxic Environment: The characteristic hypoxia of tumor tissues promotes anaerobic bacterial proliferation
Immunosuppressive Environment: CD47 protein expressed by cancer cells creates local immunosuppression, forming a permissive niche for bacterial survival
Abnormal Vascular Structure: Tumor vessels are leaky, facilitating bacterial extravasation
Metabolic Abnormalities: Tumor-specific metabolites support selective bacterial growth
Excellent Safety Profile
Comprehensive safety evaluation revealed that E. americana demonstrates:
Rapid blood clearance (half-life ~1.2 hours, completely undetectable at 24 hours)
Zero bacterial colonization in normal organs including liver, spleen, lung, kidney, and heart
Only transient mild inflammatory responses, normalizing within 72 hours
No chronic toxicity during 60-day extended observation"
octaane
Sorry, as someone in this field, this is bullshit. It is in mice.
Several things trigger my bullshit meter. Quote:
"This dramatically surpasses the therapeutic efficacy of current standard treatments, including immune checkpoint inhibitors (anti-PD-L1 antibody) and liposomal doxorubicin (chemotherapy agents)"
PD-L1 monoclonal antibodies are only effective against cancers that are, you guessed it, PD-L1 positive. At high percentages, ranging from 1 to 50%. Are these authors even familiar with the state of the art when it comes to cancer medications? Mouse tumors do not equate to people tumors. Many tumor types are not PD-l1 positive.
Doxy is an ancient SOC chemo.
This is a nothing burger.
Give me phase II/III clinical trials, and then let me know what their PFS/OS was after 5 years. and what the medians were at 3- and 5-years. Also, ORR and CR and needed.
CAR-T is ahead of the game, and will be the ultimate winner here as it grows to scale.
kinj28
In my dad’s case- he had gastric melonama. We surgically removed it and as consolidation We administered pd-L1 Immune checkpoint inhibitor. Melonama recurred again in 6 months time. This time in esophagus.
As an engineer I think all drugs tested and efficacies studied are on statistically not so significant data points. Given the permutations and combinations far exceed the clinical trials available and hence everything post clinical trial is also just an extended trial.
Wonder How to fix this? I am assuming heLa cells etc are also not the right test setup to have better test results.
octaane
Keytruda, pembrolizumab, (what he probably received) can only do so much. If it was in his GI tract it was also elsewhere in multiple places. The PD-L1 drugs at this point have more than 400k patients treated, with decent efficacy. I'm sorry for your loss. If his melanoma had metastasized to his GI tract it was too late for anything except palliative care.
This drug has been used in a huge number of patients for more than 11 years; the next gen of drugs is currently being used. I'm sorry for my curt style of writing, but - people like your father have helped pave the way for that next generation of drugs by constraining clinical trial designs.
kinj28
Nivumolab was the drug administered in adjuvant setting. Maybe you are right that 400k patient with decent efficacy - however pegged chances are about 70-80% and not 100. So my point is can there be a better test bench to try and inch closer to a better efficacy?
For example - if hela cells can be used for trials — can there be the cultured tissue be used instead of mice as day 1?
Also curious — how did the scientist decide on using a specific cell/protein to be used for checking if this is producing results. Is it a hunch or science ?
elcritch
Seems like a very interesting approach, even if it’s early stage.
> Many tumor types are not PD-l1 positive. > Doxy is an ancient SOC chemo. This is a nothing burger.
Meh the research didn’t say those were state of the art, but that they were “common” treatments. In other words a baseline for a presumably cheap and well studied animal surrogate.
> CAR-T is ahead of the game, and will be the ultimate winner here as it grows to scale.
Last I read up on it last year CAR-T treatments struggled with solid mass tumors.
Many cancers don’t have unique proteins for CAR-T to target (similar to the pd-l1 issue).
Then CAR-T struggles getting the modified T cells into the solid mass tumors en masse. Interestingly this approach actually makes use of the tumor environment rather than be hindered by it.
kasperset
Just FYI, this study was done in mice.
Aurornis
As a rule of thumb, it’s best to assume that all studies like this are in mice or rats unless the headline specifically says “in human trials”.
Murine studies are a dime a dozen and therefore it’s the default assumption when reading research papers. When human trials commence the fact that it’s in humans is a big part of the research and therefore paper titles.
tyre
I would be in favor of adding a standardized [in mice] to the titles of all HN submissions about medical breakthroughs. Most of them end up being in mice and many do not reproduce in humans. It would help, at a glance, to know how significant a study's results are.
JSR_FDED
Or alternatively, some marker to indicate the presence of an “only in mice” comment
sroussey
Maybe we find out why things work in mice and not us.
tomhow
Thanks, we've inmiced the title.
keyle
They've given more lives to humanity than humanity itself (j/k)
stephc_int13
Of course it was done in mice, tests with animals are obviously mandatory before human trials.
DivingForGold
[flagged]
eek2121
I know hearing this gets old, however, please review sources outside of LLMs for accuracy. LLMs take a whole bunch off stuff from all over the internet and distill it down to something you can consume. Those sources include everything from reddit to a certain de-wormer that folks still think treats COVID (side note: I've a few long COVID victims in a support group I am in, and they are not happy about the disinfo that was spread, at any rate)...LLMs/"AI" does not and cannot innovate, it can only take all existing information it knows, mash it all together, and present you with a result according to what the model is trained on.
I'm not against AI summaries being on HN, however, users should verify and cite sources so others can verify.
However, I'm just a normal nerd that wants to fact check stuff. Perhaps I'm wrong in wanting to do this. We'll see.
DivingForGold
I have significant experience in polymer chemistry, as an experiment, I decided to ask gemini some very specific questions to try and back it into a corner, so to speak. It blew me away with the answer, discussing quite a bit of info I was not even aware of.
brailsafe
> I'm not against AI summaries being on HN, however, users should verify and cite sources so others can verify.
I don't see how they contribute anything to a discussion. Even a speculative comment organically produced is more worthwhile than feeding a slop machine back into itself. I don't go out for coffee to discuss LLM summaries with friends, and I can't imagine why anyone would want to do that here.
Earlier today I asked Gemini Pro to find information on a person's death that was turning up nothing for me otherwise, and it just imagined finding verbatim Obituary quotes in every source, cobbled together vaguely related names, plausible bits and pieces from wherever, almost like it was 2023 again.
It ain't search, and it ain't worthwhile; I'd much rather someone ask an llm the question and then post a question out of curiosity based on it, but without the summary itself
xupybd
It is search if you ask it to produce a list of links.
It does well at filtering information for you.
Going to primary sources is required to verify what it says but it can reduce the leg work rather a lot.
justinc8687
I've had quite good luck asking Gemini and ChatGPT to include links to research papers for every claim they make. Not only can I review at least the abstracts but I find when I do this, they'll retract some of the hallucinations they've have made in prior messages. It almost seems (and maybe they do) in their web searching tools, reread the content they include. Thus, greatly reducing errors, with minimal extra effort on my part.
cyberax
> Could it be that this organism switches to anaerobic respiration when it finds itself inside cancer tissue
Unlikely. The leading hypothesis is that mitochondria are a part of the apoptosis cycle, so cells need to disable them to become cancerous. This is called the Warburg effect.
There are several drugs that target this mechanism, inhibiting the anaerobic metabolism. They are effective initially, but cancers always find ways to work around them.
MangoToupe
I'm happy to wait for the experimentation to weigh in for this one dawg
antdke
aCcoRdinG To gEmiNi
I know we're not supposed to edit titles, but I'm glad the submitter added "in mice". It avoided me quite the disappointment!