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Cancer Research Thrust

Healing the human afflicted with cancer by an approach, even a cure, remedying the cancer essence is preferable to the mostly only option of surgical means. For that purpose, contextual targeting of the Defect Stressor gene, would be a success milestone. A mechanism of identifying the defect stressor therefore would be helpful. Such mechanism, from the perspective of mathematical functions, performs Selection Mapping of the cancer cells-blob and identifies the Defect Stressor. Such a map would enable a sort of cancer Forensic Analysis, and be termed a Cancer [Incidence] Forensic Map, or Forensic Map for short. Effectively, a Cancer Forensic Map  therefore may be defined as having the objects of proffering a tool with which is operated on some properties of cancer that spits out the identity of the Defect Stressor.

So then given a set of physicochemical properties {xi} of an incidence of cancer, then equipped with an incidence Forensic Map, F, it is possible to perform a Selection Map such that

 Eq. 1

where the term on the right-hand side is generalized symbolic representation of the defective gene, say, dG, and the ellipsis indicates any collection as the parenthetic term in direct association with the 'D'.

Remarkably, with the identifying of the defective gene, drugs can be administered as cocktail based on already approved drugs or even designed ground-up to target the specific, dG, gene. Besides, other non-invasive methods may be effected to enable the recycling or excretion of the Defect Stressor.

The Computing Center constructs computational Cancer Forensic Map, to the extent as possible, and identifies defective gene(s) based on specified cancer-specific set of properties supplied by an attending physician or medical facility. Actual implementation of treatments, of course, is in the realm of the medical profession.

Cancer Ignition Hypothesis and Seeding
Although, with an incidence of cancer, the construction of a Forensic Map grants the most specificity for designing a treatment for the remission and ultimately the elimination of the cancer, an incidence is still requisite for this approach. A most generalized guidance for cure of cancer, would be a method enabling discovering the Defect Stressor, without the need for an incidence; and effectively an approach based on an hypothesis of Cancer-Ignition mechanism, which not being based on prior knowledge of incidence-properties data acquired from a patient, therefore proffers such best path for developing guidance for curative mechanism

Inferentially then, evolving an Ignition Hypothesis based on tenable ignition bio-condensation mechanism should be apt at accomplishing the desire object. Fortunately, such hypothesis can be constructed from the well-documented Warburg Hypothesis, and its latter reinterpretation termed Warburg Effect, although the two methods are not congruent, actually. Obviously, the ignition bio-condensation reaction must necessarily be based on an evolving cancer science that is quite sufficiently comprehensive as to enable the construction of mechanisms of conformal applicability to all known possibilities of cancers ignitions, and that also always embody the Cancer-Ignition Hypothesis.

Of course, such mechanism is tenable provided the science is based on almost all intrinsic dynamic of the human cell. Even so, the constructed generalized mechanism of cancer ignition posited on the Warburg Hypothesis-based observations would still require some form of validation. Significantly, such validation should proffer the Center guidance a further refinement of the hypothesis to the end of using the hypothesis to reflexively obtain an approach to identifying seed cancerous biologic that invariable evolves into the Defect Stressor based on the adopted Cancer-Ignition Hypothesis.

One approach towards the adoption of the Ignition Hypothesis and hence the cancer science is the constructive identification of the Defect Stressor of the Ignition process as well as ascertaining the destruction of the Defect Stressor within the context of the bio-condensation reaction mechanism of the medication-bioactivity. Accordingly, the Computing Center rationale on cancer research which intrinsically aligns with performing computational analyses based on adopted Cancer-Ignition Hypothesis that explicitly identify bio-condensation reaction biologic-products, correspondingly proffer invaluable guidance in discovering the cancer biologics context in correspondence to each type of cancer, and consequentially enabling the elicitation and compilation of the bioactivity context of medication cocktails determined as prospective cancer cures and well-documented as such.

Genome Filtering
Current Research Activity
Cancer Target: Prostate Cancer
Ref. Cocktail
: NG-PAB-2306-100112†
Designer Submitter: Pharmacist
Object: Genome-Id & Curativeness
Status: On-going
Proprietary: Yes
Access: Designer Referral Only

Cocktail Reference may change with further formalism


Targeting an offending gene within a cell genome for medicating enjoys remarkable specificity when the gene is known both in form and structure. Identifying a gene within a genome, of course, requires a sort of selection mapping of gene filtering. So Genome Filtering is an essential aspect of developing Cancer Treatment Guidance, because for one thing, it allows for focused medicating of the cancerous or defective gene.

The filtering, of course, means the use of filters to enable the isolation of the gene. In this regard the filtering process uses filters set. The Genome Filtering then entails the use of these data as input into a mathematical map, Forensic Map, which outputs results that enable the identification of the defective gene(s). However, the choice of the filters set and the manner of acquiring them has to be contextual for the filtering to have the preferred specificity.

Yet the first consideration is the defining of the filters that are best suited for use. Such defining of filters, however, would find better applicability if such filters are defined from the set of characteristics that describe cancer. So then of immediate considerations would be the identification of the physical and chemical properties that characterize cancer. Generally cancer can be characterized by its size, the magnetic field it emanates, the electrostatic field it emanates, and volatile organic chemicals, VOCs, that it emits from the defining metabolic reactions occurring in the cells, etc.

The mechanics of acquiring these characteristic filters set, however, are of some concern, in the sense of whether they would be invasive or noninvasive. Preferably however, noninvasive mechanics are ordinarily the common choice. So one approach is to acquire them on the surface of the body at a normal to a surface tangent of the cancer. Of course, such means that the characterization of the cancer include 3D imaging from which the perpendicularity to the surface is determined, and then filters data-set: the size, body-chemical emissions as measured, bioelectromagnetic readings, etc.; acquired as is most effective.

However, while preferring noninvasive mechanics, the cases where invasive evaluations of the cancer are being performed permits the acquisition of the filters set without additional intrusiveness. So, say, from a sample of biopsy, the same filters set can be extracted from the cancer sample, although, this case makes necessary the specification of the additional filter data of the relative location within the expanse of the cancer from where the biopsy-sample gets extracted.

Given the filters set, and using this as input into a Genome Filter embodying an operational Forensic Map, the defective gene is identified from amongst the genome that obtains from the virtual biosynthesis of the Genome Facility; however, very often, it is expected that the cardinality of the suggested set of defective gene may be more than unity. Even so, the specificity that obtains with regards to the medicating of the cancer is significant and its utility is invaluable.

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