Cytogent

The biology

Resistance is not one mutation.

Tumours that start with the same EGFR mutation can stop responding to osimertinib for different reasons[1]. A genetic profile shows what changed. A functional assay on living cells shows how they now respond. Cytogent’s work starts from that gap.

Real tumours can combine these routes.

Escape routes

Three broad ways a tumour escapes.

Drug resistance is when cancer cells stop responding to a drug that used to work[3]. After osimertinib, the routes reported in the literature fall into three broad groups. Tumours can combine them, and in a share of cases no mechanism is found[1].

  1. 01

    On-target

    The drug’s target changes. New mutations in EGFR itself, such as C797S, can stop osimertinib from binding.[1]

  2. 02

    Bypass

    Another growth signal takes over, for example through MET or HER2 amplification, so blocking EGFR is no longer enough.[1]

  3. 03

    Histologic or cell-state shift

    The tumour changes its type, for example towards small-cell histology, and no longer depends on EGFR.[1]

Why the lab still decides

A profile is a map. An assay is a test drive.

Sequencing catalogues mutations, but it does not by itself tell you how adapted living cells will respond to two drugs together. Patient-derived models such as organoids can keep features of the tumour they came from and can be used for drug testing[4], and open catalogues help researchers find them[5].

These models are scarce, so each experiment has to count. Choosing the experiments expected to teach the most is an active-learning problem[6], and the readouts are only useful if the assays are well designed and quality-checked[7].

Starting focus

Why start after osimertinib.

Osimertinib is a standard treatment option for advanced EGFR-mutant non-small cell lung cancer[2], and resistance to it is a well-described, varied problem[1]. That makes it a sharp place to test whether better experiment choice changes decisions.

Our inaugural programme blueprint is combination experiment selection in this setting.

What a pilot measures

Three signals, three different questions.

Three signals a pilot measures, what each compares, and what it can tell you
SignalComparesWhat it can tell you
Combination benefitThe pair against each drug alone, in the same modelWhether two drugs together do more than either alone in that model. Not what happens in a patient.
Resistance-associated differential activityThe resistant model against its matched parental modelWhether a combination hits what resistance changed. Only as good as the match between the two models.
Clinical therapeutic windowNeeds in vivo pharmacology and toxicologyWhether an effective exposure could be tolerated. A parental cancer line is not a healthy-tissue safety proxy.

Unfamiliar terms? See the glossary.

Sources

These primary sources describe the scientific field, not Cytogent product performance.

  1. [1]Leonetti A, Sharma S, Minari R, Perego P, Giovannetti E, Tiseo M. Resistance mechanisms to osimertinib in EGFR-mutated non-small cell lung cancer. British Journal of Cancer. 2019;121(9):725–737. (review) doi.org/10.1038/s41416-019-0573-8
  2. [2]PDQ Adult Treatment Editorial Board. Non-Small Cell Lung Cancer Treatment (PDQ®) – Health Professional Version. National Cancer Institute. (reference) www.cancer.gov/types/lung/hp/non-small-cell-lung-treatment-pdq
  3. [3]National Cancer Institute. Drug resistance. NCI Dictionary of Cancer Terms. (reference) www.cancer.gov/publications/dictionaries/cancer-terms/def/drug-resistance
  4. [4]Kim M, Mun H, Sung CO, et al. Patient-derived lung cancer organoids as in vitro cancer models for therapeutic screening. Nature Communications. 2019;10:3991. (primary study) doi.org/10.1038/s41467-019-11867-6
  5. [5]Perova Z, Martinez M, Mandloi T, et al. PDCM Finder: an open global research platform for patient-derived cancer models. Nucleic Acids Research. 2023;51(D1):D1360–D1366. (The resource now operates as CancerModels.org.) (database) doi.org/10.1093/nar/gkac1021
  6. [6]Reker D, Schneider G. Active-learning strategies in computer-assisted drug discovery. Drug Discovery Today. 2015;20(4):458–465. (review) doi.org/10.1016/j.drudis.2014.12.004
  7. [7]Markossian S, Grossman A, et al., editors. Assay Guidance Manual. Bethesda (MD): Eli Lilly & Company and the National Center for Advancing Translational Sciences; 2004–. (guideline) www.ncbi.nlm.nih.gov/books/NBK53196/

See how a pilot is structured.

One candidate, one resistance context, one decision.