CANCER RESEARCH
Mounir Akarkach · Independent research · 2026

Cancer as a
Legitimate System State.

A research monograph about cancer as a possible state of complex biological systems—paired with three transparent research applications for exploring systems hypotheses, public data, uncertainty and the limits of inference.

50 conceptual research profilesPIGA · A7SEM · A7SEM ReverseThree free research appsNonclinical education
Start: upload & audit research evidence →Book on Amazon ↓Three research apps ↓

The author has supplied an Amazon short link for this publication. Its redirected destination and precise ASIN could not be independently verified.

NEW · START HERE · THE EVIDENCE FIRST WORKFLOW

Have a research report or laboratory values? Start with what the evidence actually shows.

Open the guided intake to upload text, CSV, JSON or a text-based PDF (optional internet PDF parser), or enter values by hand. A local PIGA / A7SEM / A7SEM Reverse audit identifies missing provenance, methods, units, alternatives and the correct next research questions. It does not diagnose cancer or authorize treatment.

01 · Upload or enter

Source, diagnosis wording as provided, measured values, units, date, assay and limitations.

Open intuitive evidence intake ↗Offline Excel + VBR matrix ↓

02 · Understand the outcome

Research Gate 1: ALLOW, DELAY, BLOCK or UNKNOWN; explanatory gaps, A7SEM dimensions, reverse checks and a downloadable evidence passport. Clinical Gate 2 stays BLOCK.

See the evidence-result workflow ↗

Inputs are processed in browser memory; do not enter identifying patient data. The audit is not regulated medical software.

The thesis and its boundaries

What can systems thinking explain—and where must inference stop?

The book uses legitimate in a narrow descriptive sense: a state can be possible under declared model assumptions. This never means that cancer is beneficial, ethically acceptable, inevitable or beyond treatment.

Its publicly archived specialist research edition develops this distinction across 50 disease-specific conceptual profiles, together with a framework for questioning assumptions, provenance, contradictory evidence and the temptation to extrapolate from elegant mathematics to actual patients.

What the reader gains: a disciplined way to distinguish system-model hypotheses from established biomedical facts, reconstruct the evidence behind a research claim, challenge alternative explanations and record what remains unproven. These are research-literacy tools, not diagnostic pathways.
The publication · Read · Discover · Explore

The book on Amazon — and the research edition

One scientific question connects the book and its three free browser-based companions: when can a model justify an inference, and when must it defer to missing evidence or uncertainty?

The book · Mounir Akarkach · 2026

Cancer as a Legitimate System State

A systems-theoretical exploration of malignant states, emergence, stabilization and therapy resistance, with PIGA, A7SEM and A7SEM Reverse as research lenses. A research contribution, not a clinical treatment manual.

View the book on Amazon ↗Amazon.com search ↗

The primary Amazon link was supplied by the author. Its redirect target has not been independently checked; verify the title, author and edition before buying. No confirmed ASIN, retail price or availability is claimed.

Read before you test

The research edition and what you gain

Explore 50 conceptual research profiles, investigate how assumptions shape conclusions and trace how claims must be challenged by alternative explanations.

  • Theoretical systems account of malignant states
  • Pre-inference and action-admission boundaries
  • Glassbox evidence checks and A7SEM Reverse
  • Three hands-on research companions
View archived research edition ↗

The archived Google Drive research edition is separate from any KDP retail edition. Access depends on Drive sharing permissions. Edition correspondence is not independently verified.

Explore · Test · Export

Three research applications. One governance architecture.

The two systems simulators and the expanded evidence workbench are accessible without registration. Each offers a self-contained HTML download for offline research use; live public catalogue requests require an Internet connection.

Application 01 · Reader atlas

Cancer Research Companion

Start with the book's chapter framework, explore its 50 conceptual research profiles and run a transparent 24-step fictional systems model.

  • Searchable atlas of 50 research-profile labels
  • Seven interacting A7SEM dimensions
  • PIGA Gate 1 / clinical Gate 2 BLOCK
  • A7SEM Reverse and counterhypotheses
  • Research Passport JSON and toy-trajectory CSV
Open Reader Atlas & offline download ↗

GitHub Pages backup ↗

Application 02 · Systems simulator

Cancer Systems Lab

Investigate fictional dynamics, simulated network connectivity and whether available evidence can support even a limited documentary claim.

  • Abstract systems and network toy models
  • Six-axis evidence-integrity teaching checklist
  • Strict separation of geometry and biology
  • Seven A7SEM dimensions with reverse review
  • Research Passport JSON and audit CSV
Open Systems Lab & offline download ↗

GitHub Pages backup ↗

Application 03 · Empirical research pathway

Cancer Evidence Workbench

Explore public oncology catalogue metadata, document aggregate multi-omics research and specify the evidence needed for future independent clinical evaluation.

  • NCI GDC and cBioPortal public catalogue metadata
  • Five public aggregate omics modalities
  • Prespecified comparator and falsification benchmarks
  • ctDNA, synthetic-lethality and wet-lab research plans
  • Five clinical-translation workstreams and stages A–E
  • Glassbox JSON exports; clinical Gate 2 BLOCK
Open Evidence Workbench & offline download ↗

GitHub Pages backup ↗

Research use only · Clinical Gate 2: BLOCK.

Technical browser checks and public catalogue connectivity are not clinical validation. The evidence workbench provides study-planning tools, not real patient predictions, laboratory findings, therapy choices or regulatory authorization.

Privacy by design: all three applications are standalone HTML/JavaScript programs without a patient-data backend. Do not enter real personal or patient data. The websites' hosting providers can still maintain normal access logs.

The reading-to-research pathway

A three-step approach to evidence-governed exploration

01Read and specify the claim

Begin with the research book, define the exact scientific claim and distinguish evidence from an unverified hypothesis.

02Experiment with a fictional model

Explore fictional systems models or public aggregate research metadata, inspect uncertainty and compare the evidence required.

03Reverse-audit the inference

Check provenance and counterevidence; export a local research passport. Gate 2 remains BLOCK.

PIGA separates admission of a research inference (Gate 1) from authorization of a real-world action (Gate 2). A7SEM treats seven dimensions as interacting, not a mandatory clinical sequence. A7SEM Reverse checks claims backwards against their evidence and possible counterexamples. A finite QA loop means repeatable, bounded checks—not unsupervised endless computation.

Provenance · Caution · Rights

Scientific and publication boundaries

Research and education only — clinical Gate 2: BLOCK. These applications do not diagnose cancer, predict tumor behaviour, rank treatment choices, produce personal risk scores or issue medical recommendations. They are not validated medical devices or substitutes for qualified medical care. No independent clinical benefit, predictive superiority or regulatory approval is asserted.
Author
Mounir Akarkach
Book
Cancer as a Legitimate System State · Public Specialist Edition V119 (2026)
Amazon publication link
Author-provided Amazon book link ↗ · Amazon.com ↗ (direct link supplied by author; destination not independently verified)
Book manuscript
Research edition on Google Drive (sharing dependent) ↗
Research register
Master Protocol & Evidence Register (sharing dependent) ↗
Independent context
US National Cancer Institute — What is cancer? ↗
Licensing
Free access for the supplied research demonstrations. Commercial, institutional or clinical adaptations require a separate written agreement and any applicable independent professional/regulatory review.

The apps' research passports and downloaded HTML files do not constitute independently signed audit certificates. Book editions are separate from the software. The primary Amazon shortcut was supplied by the author; its destination could not be independently verified. No ISBN, ASIN, retail availability or clinical-performance claim is asserted.