Alina’s case report continues to be dynamically updated in dical.
The Sanbo Research Institute received a legal letter from a large dical group in the United States, which owns dozens of cancer screening centers and many tumor specialist hospitals.
The letter was polite yet coldly worded, pointing out that the "insufficiently verified preventive approach" released by Yang Ping’s team could lead high-risk patients to delay standard preventive surgery, constituting "potential dical risk", and demanded Sanbo Research Institute "withdraw the dynamically updated paper" and publish a statent to clear any public misdirection.
Song Zimo placed the letter on Yang Ping’s desk, "Tumor treatnt is their major business. If Alina’s success can be replicated, this business might shrink."
Yang Ping glanced at the letter: "Ignore them. Who do they think they are? We will make a statent on the official website of the Research Institute that all our publications clearly indicate the nature of the research, and patient Alina Volkova participated in the experint with full inford consent. We will not respond or pay attention to any legal challenges in the future."
Subsequently, social dia showed "professional analysis": a tumor scholar wrote an article calculating the probability of single-case success, concluding that "even a completely ineffective approach has a certain probability of observing seemingly positive results in a single patient"; a patient rights organization spoke up, while praising the new choice, they also worried "will this cause insurance companies to refuse reimbursent for standard drug treatnt and surgery, forcing patients to choose cheaper but unverified new thods"; conspiracy theorists connected the Inner Canon of Huangdi boom, claiming "all of this is the infiltration of Eastern mysticism into Western rational dicine."
Cracks also started to form in the academic world.
The International Cancer Association issued a statent affirming the "innovativeness" of Yang Ping’s team’s work, but emphasized that "currently, preventive surgery remains the only intervention backed by large-scale evidence that can lower mortality rates for precancerous lesions", calling for "clinical practice not to be changed until rigorous multi-center randomized controlled trials are conducted."
However, on the other hand, more than a hundred cancer researchers jointly signed an open letter, published on the Science magazine website.
The letter stated: "The importance of Alina’s case does not lie in proving the efficacy of a certain therapy, but in demonstrating the possibility of a completely new dical model, based on systemic regulation rather than antagonism, or strategies like organ resection. It can be used not only for treatnt but also for prevention, integrating treatnt and prevention into one body. The potential value of this dical model transformation is so imnse that we have an ethical responsibility to accelerate its validation, rather than using outdated thodologies to slowly delay."
Yang Ping did not participate in the public debate, and he continued to focus on his research, further expanding the systematic study of K Therapy.
Song Zimo was responsible for launching a new research plan, designing a large-scale multi-center randomized controlled trial for Lynch Syndro carriers. They need to determine inclusion criteria, intervention protocols, control settings, and endpoint indicators. Unlike traditional trials, they will not only assess cancer incidence rates as a hard endpoint, but also design a set of composite indicators of systemic health status: TIM expression spectrum stability, immune microenvironnt characteristics, tabolomic trajectory, and even patient-reported quality of life and functional status.
Currently, Lynch Syndro patients are the best cases for precancerous research because Yang Ping has the ability to design a K Factor targeting them.
Tang Shun is responsible for deeply probing the chanism of Alina’s case. They research all data from Alina’s ongoing monitoring: weekly blood multi-omics, monthly fecal microbio, daily wearable device records, heart rate variability, sleep architecture, activity levels, and more.
They need to answer a core question, how do regulatory signals produce a chain reaction throughout the body? From TIM binding to colon adenoma regression, how many transmission pathways are there in between? Is there a master node of systemic coordination?"
Yang Ping personally leads the exploration of more fundantal questions: if the hypothesis of "systemic regulation" is validated, what similar "regulatory interventions" might exist for people without definite genetic defects, but in a sub-health or chronic disease state?
Western dicine excels at defining diseases, while Chinese dicine excels at describing imbalances.
But between the two, there exists a vast gray area, like long-term fatigue, borderline abnormal tabolic indicators, mild chronic inflammation, and age-related functional decline. These states have not yet constituted diseases but have deviated from health. Traditional dicine either waits for diseases to develop before intervening or gives generalized lifestyle advice. What if we could use systemic regulation thods to accurately steer these states back to the health track?
These are unrelated to tumors, but from the essence of "regulation" theory, they are the sa.
Moreover, this slight imbalance is the best case for studying regulatory theory.
Yang Ping retrieves a set of data: from the annual physical examination records of one hundred thousand individuals at the Sanbo Research Institute Health Check Center, where 38% are marked as "sub-health" state. Preliminary analysis of these data found that the distribution of blood immunocytes subsets, inflammation factor spectra, and tabolic small molecule profiles in the sub-health population have significant but subtle differences from the healthy population.
These differences are not random. They display several specific deviation patterns, like tabolic inertia pattern, immune low activation pattern, neuroendocrine tension pattern. Each pattern might correspond to a specific systemic state logic.
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