KR102410786B1 - Device based on analysis of circulating tumor cell for the prediction of cancer progression - Google Patents

Abstract

A cancer progression prediction platform based on blood cancer cell analysis according to an embodiment of the present invention comprises: an incubator having at least one channel to culture mononuclear cells (MNCs) isolated from blood cells; a culture solution supply unit for supplying a culture solution into the incubator; a recording unit for photographing the culturing process of the mononuclear cells; a storage unit for accumulating and storing the image data received from the recording unit; an image analysis unit configured to determine whether or not blood cancer cells are included in the blood cells and a structure of the blood cancer cells based on the image data transmitted from the photographing unit; and a control unit for controlling at least one of the incubator, the culture medium supply unit, the photographing unit, the storage unit, and the image analysis unit.

Description

Blood cancer cell analysis-based cancer progression prediction device {Device based on analysis of circulating tumor cell for the prediction of cancer progression}

The present invention relates to a cancer progression prediction platform based on blood cancer cell analysis, which can primarily predict cancer progression according to the amount of cell-free DNA in the blood and the presence or absence of blood cancer cells. Specifically, the results of blood cancer cell analysis and the individual's genetic background It relates to a cancer progression prediction platform based on blood cancer cell analysis that can predict cancer progression through a machine learning algorithm for factors present in a patient's serum according to

The main cause of cancer patient death is metastasis, and early detection of metastatic cancer is a technology that can minimize cancer-related deaths. As a very important industry in the health care industry through maximization, the effect of reducing health care costs is an economically very important national industry, and in particular, it can improve the quality of life of individuals.

In particular, the prediction of metastatic cancer formation, which is not detected by CT or MRI, is suggested that early cancer diagnosis is a very important factor in increasing the survival rate of cancer patients. Since more than % of cancer patients die, investment in the health care industry to overcome this in the health care field is increasing.

Although the conventional diagnosis of early metastatic cancer in the health care industry relies on CT or MRI, there is a limit to the detection of micrometastasis, and expensive medical costs are required, which increases the burden on patients. .

On the other hand, based on the technology for recognizing blood cancer cells using aptamers, polyamino acid-based nanoparticles that specifically respond to the living environment are used to recognize cancer cells in the blood and diagnose cancer, as well as to contain nanoparticles of drugs. The present invention does not disclose the technical gist of the present invention, but only discloses the contents of the polyamino acid-based bioenvironment-sensitive nanoparticles for early diagnosis or treatment of cancer that provide an effect of treating cancer through intelligence.

Republic of Korea Patent Publication No. 10-1717010

The platform for predicting cancer progression based on blood cancer cell analysis according to an embodiment of the present invention aims to solve the following problems in order to solve the above-mentioned problems.

To provide a cancer progression prediction platform based on blood cancer cell analysis that can predict micro-metastatic cancer in advance based on the biological characteristics of blood cancer cells that are suggested as the cause of metastasis.

In addition, it is to provide a platform for predicting cancer progression based on blood cancer cell analysis that can culture mononuclear cells isolated from blood cells under a stable environment.

In addition, it is to provide a cancer progression prediction platform based on blood cancer cell analysis that can accurately detect micro-early cancer based on a sophisticated discrimination algorithm.

The problems to be solved of the present invention are not limited to those mentioned above, and other problems not mentioned will be clearly understood by those of ordinary skill in the art from the following description.

A cancer progression prediction platform based on blood cancer cell analysis according to an embodiment of the present invention comprises: an incubator having at least one channel to culture mononuclear cells (MNCs) isolated from blood cells; a culture solution supply unit for supplying a culture solution into the incubator; a photographing unit for photographing the culturing process of the mononuclear cells; a storage unit for accumulating and storing the image data received from the photographing unit; an image analysis unit configured to determine whether blood cancer cells are included in the blood cells and a structure of the blood cancer cells based on the image data transmitted from the photographing unit; and a control unit for controlling at least one of the incubator, the culture medium supply unit, the photographing unit, the storage unit, and the image analysis unit.

The incubator may include: a temperature sensor for measuring a temperature inside the incubator; a carbon dioxide concentration sensor for measuring the carbon dioxide concentration inside the incubator; a humidity sensor for measuring the humidity inside the incubator; a flow rate sensor for measuring the flow rate of the culture medium flowing into the incubator; and a flow sensor for measuring the amount of the culture solution introduced into the incubator.

The culture solution supply unit includes a first actuator for delivering the culture solution to the incubator, and the culture solution supply unit control unit included in the control unit includes an environment inside the incubator, the type of mononuclear cells, and culture conditions of the mononuclear cells. It is preferable to control the first actuator based on at least one of

The recording unit, a camera for photographing the mononuclear cells; a lens for adjusting the magnification of the camera; an illumination module irradiating light to the mononuclear cells when the mononuclear cells are photographed; and a second actuator that moves at least one of the camera module and the lens.

The control unit further includes a photographing unit control unit for controlling the operation of the photographing unit, wherein the photographing unit control unit is based on at least one of the type and location of the mononuclear cells in the incubator, the lighting module and the second It is preferred to control at least one of the actuators.

Preferably, the image analysis unit determines whether or not the blood cancer cells are included in the blood cells and the structure of the blood cancer cells based on a determination algorithm set by machine learning.

The storage unit stores a training set comprising an input factor including image data of the plurality of mononuclear cells and an output factor including whether or not blood cancer cells are included in the blood cells and the structure of the blood cancer cells according to each image data; Preferably, the discrimination algorithm generates the discrimination algorithm by learning the training set and deriving a correlation between the input factor and the output factor.

Preferably, the storage unit stores text information on the blood cell donor, and the text information is at least one of basic clinical data and blood information on the blood cell donor.

The platform for predicting cancer progression based on blood cancer cell analysis according to an embodiment of the present invention can maximize the effect of chemotherapy for cancer patients and reduce health and medical expenses by diagnosing micrometastasis based on the biological characteristics of blood cancer cells. effect can be expected.

In addition, the effect of accurately diagnosing micrometastasis can be expected by analyzing blood cancer cells in real time based on a discrimination algorithm through machine learning.

In addition, by automatically controlling the culture environment of mononuclear cells isolated from blood cells, the effect of ensuring culture in a stable environment can be expected.

The effects of the present invention are not limited to those mentioned above, and other effects not mentioned will be clearly understood by those of ordinary skill in the art from the following description.

1 is a diagram schematically illustrating the configuration of a cancer progression prediction platform based on blood cancer cell analysis according to an embodiment of the present invention.
2 is a diagram schematically illustrating a detailed configuration of an incubator among configurations of a platform for predicting cancer progression based on blood cancer cell analysis according to an embodiment of the present invention.
3 is a diagram schematically illustrating a detailed configuration of a recording unit among configurations of a platform for predicting cancer progression based on blood cancer cell analysis according to an embodiment of the present invention.
4 is a diagram schematically illustrating a detailed configuration of a control unit among configurations of a platform for predicting cancer progression based on blood cancer cell analysis according to an embodiment of the present invention.

A preferred embodiment according to the present invention will be described in detail with reference to the accompanying drawings, but the same or similar components are given the same reference numerals regardless of reference numerals, and redundant description thereof will be omitted.

In addition, in the description of the present invention, if it is determined that a detailed description of a related known technology may obscure the gist of the present invention, the detailed description thereof will be omitted. In addition, it should be noted that the accompanying drawings are only for easy understanding of the spirit of the present invention, and should not be construed as limiting the spirit of the present invention by the accompanying drawings.

Hereinafter, a platform for predicting cancer progression based on blood cancer cell analysis according to an embodiment of the present invention will be described with reference to FIGS. 1 to 4 .

As shown in FIG. 1 , the platform for predicting cancer progression based on blood cancer cell analysis according to an embodiment of the present invention is largely an incubator 100 , a culture medium supply unit 200 , a recording unit 300 , a storage unit 400 , and an image. It is configured to include an analysis unit 500 .

In addition, it may further include a control unit 600, this control unit 600 is the above-described incubator 100, the culture medium supply unit 200, the recording unit 300, the storage unit 400 and the image analysis unit As a configuration for controlling the 500, for this purpose, the control unit 600 includes an incubator control unit 610, a culture medium supply unit control unit 620, a recording unit control unit 630, and a storage unit control unit 640 as shown in FIG. ) and an image analysis unit control unit 650 .

First, the incubator 100 will be described. The incubator 100 is configured to culture mononuclear cells (MNCs) isolated from blood cells.

This incubator 100 may include not only one channel but also a plurality of channels, and is preferably configured to provide an environment for optimal cell growth.

To this end, the incubator 100 may include a temperature sensor 110 , a carbon dioxide concentration sensor 120 , a humidity sensor 130 , a flow rate sensor 140 , and a flow rate sensor 150 as shown in FIG. 2 .

Here, the temperature sensor 110 is a component that measures the temperature inside the incubator 100, the carbon dioxide concentration sensor 120 is a component that measures the carbon dioxide concentration inside the incubator, and the humidity sensor 130 measures the humidity inside the incubator. configuration to measure.

In addition, the flow rate sensor 140 is configured to measure the flow rate of the culture solution flowing into the incubator 100 , and the flow sensor 150 is configured to measure the amount of the culture solution flowing into the incubator 100 .

The detection data of each sensor described above may be transmitted to the incubator control unit 610 of the control unit 600, and through this, the user can monitor the environmental information inside the incubator 100 in real time during cell culture.

On the other hand, the optimal environmental conditions for culturing may be set according to the type of cells accommodated in the incubator 100 , and when the detection values of the above-described sensors deviate from the preset environmental conditions, the incubator control unit 610 of the control unit 600 . ) is preferably configured to generate a warning signal.

In addition, the incubator 100 may include a separate adjusting member 160 capable of adjusting the temperature, humidity, and carbon dioxide concentration of the incubator, and includes a temperature sensor 110 , a carbon dioxide concentration sensor 120 and a humidity sensor 130 . When the detection value in any one is out of a preset condition or range, the adjusting member 160 may restore the temperature, humidity, or carbon dioxide concentration inside the incubator 100 to within a normal range.

Furthermore, when the incubator control unit 610 of the control unit 600 determines that the flow rate sensor 140 and the flow rate sensor 150 do not satisfy the preset conditions, the culture solution supply unit control unit 620 of the control unit 600 It is also possible to control the culture medium supply unit to supply an appropriate level of the culture medium.

By the function of the incubator 100 described above, it is possible to automatically maintain the optimal culture environment of the cells.

The culture solution supply unit 200 performs a function of supplying a culture solution into the incubator 100 , and includes a first actuator for delivering the culture solution to the incubator 100 to implement this function.

This first actuator is controlled by the culture medium supply unit control unit 220 of the control unit 600, and this culture medium supply unit control unit 220 is at least one of the environment inside the incubator 100, the type of cell, and the cell culture conditions. Controlling the flow rate and flow rate of the culture solution supplied to the incubator 100 by controlling the first actuator based on one.

The photographing unit 300 performs a function of photographing the culture process of mononuclear cells cultured in the incubator 100, and as shown in FIG. 3, a camera 310, a lens 320, a lighting module 330 and a second It is configured to include two actuators 340 .

The camera 310 performs a function of photographing mononuclear cells cultured in the incubator 100, the lens 320 performs a function of adjusting the magnification of the camera, and the illumination module 330 performs a function of photographing mononuclear cells when photographing mononuclear cells. It performs the function of irradiating light to

The second actuator 340 is configured to perform a function of moving at least one of the camera 310 , the lens 320 , and the lighting module 330 , and is preferably configured as a servo motor.

On the other hand, the recording unit control unit 630 of the control unit 600 uses the second actuator 340 to obtain an accurate image of the cultured mononuclear cells, the position of the camera 310, the magnification of the lens 320 used and It may be configured to automatically adjust the irradiation amount and position of the lighting module 330 .

When one cell spans about 10 camera pixels, the resolution increases by more than 95%, so depending on the type and culture state of the mononuclear cells to be measured, the recording unit control unit 630 controls each component included in the recording unit 300. can be controlled

The storage unit 400 performs a function of accumulating and storing spheroid image images for each time of mononuclear cells cultured in the incubator 100 by the recording unit 300 .

The storage unit 400 stores not only the image image obtained from the above-described photographing unit 300 but also the result of the image image that has already been determined, that is, information on whether or not blood cancer cells are included and the structure of the blood cancer cells, and further Text information about the blood cell donor, that is, basic clinical data and blood information, etc. may also be stored.

That is, each of the above-described information is continuously accumulated and stored in the storage unit 400 to constitute big data, and by using this, the storage unit control unit 640 of the control unit 600 is an image analysis unit to be described later. It is possible to generate the analysis and judgment algorithm of (500) and build a clinical information database, which will be described in detail later.

The image analysis unit 500 performs a function of determining whether or not the blood cancer cells are included in the blood cells and the structure of the blood cancer cells based on the real-time image data received from the photographing unit 300 .

The image analysis unit 500 may determine whether or not the blood cancer cells are included in the blood cells and the structure of the blood cancer cells based on the determination algorithm set by machine learning.

In particular, the determination algorithm may be generated using big data accumulated and stored in the storage unit 400 .

Specifically, the storage unit 400 stores a training set composed of an input factor including image data of a plurality of mononuclear cells and an output factor including whether or not blood cancer cells are included in the blood cells and the structure of the blood cancer cells according to each image data. The discrimination algorithm is generated by learning such a training set and deriving a correlation between the input factor and the output factor.

On the other hand, as mentioned above, a clinical information database may be built using the big data included in the storage unit 400, and these databases include specific cancer gene information, CTC/cfDNA marker information, experimental data information, clinical information, etc. These can be stored separately.

Using such a database, information on genetic mutations among information of multiple medical data can be classified by patient, group, and gene, and the relationship between genes and clinical information and the relationship between disease and mutation information can be checked.

In addition, the database may include a function of systematically and safely managing basic clinical data for patients from whom blood is collected for many years. is saved

Here, the basic clinical data are the sex, age, diagnosis date, blood collection date, surgery date, smoking history, tumor stage, survival, recurrence, pathology (location, size, visceral pleural, lymph node, differentiation, etc.) of the blood cell donor. It may include the presence or absence of chemotherapy, the presence or absence of radiation therapy, and blood tests (including CBC tests, blood chemistry tests, etc.).

Through this database, it becomes possible to systematically store and manage plasma through additional blood collection from the same patient.

The embodiments described in this specification and the accompanying drawings are merely illustrative of some of the technical ideas included in the present invention. Therefore, since the embodiments disclosed in the present specification are for explanation rather than limitation of the technical spirit of the present invention, it is obvious that the scope of the technical spirit of the present invention is not limited by these embodiments. Modifications and specific embodiments that can be easily inferred by a person of ordinary skill in the art within the scope of the technical idea included in the specification and drawings of the present invention are included in the scope of the present invention. will have to be interpreted.

100: incubator
200: culture medium supply unit
300: shooting unit
400: storage unit
500: image analysis unit
600: control unit

Claims (8)

In an apparatus capable of predicting cancer progression based on blood cancer cell analysis, which consists of a hardware configuration of an incubator, a culture solution supply unit, a recording unit, a storage unit, an image analysis unit and a control unit, and software analysis is possible in each configuration,
At least one channel is provided so that mononuclear cells (MNCs) isolated from blood cells are cultured, and environmental conditions for culture are changed according to the type of the received mononuclear cells, and a control member capable of changing the environmental conditions is provided. eggplant incubator;
a culture solution supply unit for supplying a culture solution into the incubator;
a recording unit for photographing the culturing process of the mononuclear cells;
Accumulating and storing the image data received from the photographing unit, including input factors including image data of a plurality of the mononuclear cells and whether or not the blood cancer cells are included in the blood cells and the structure of the blood cancer cells according to each image data a storage unit having a training set composed of output factors;
The image data received from the photographing unit is input to a discrimination algorithm set by learning the training set and deriving a correlation between the input factor and the output factor to determine whether or not the blood cancer cells are included in the blood cells. an image analysis unit to determine the structure; and
A control unit for controlling at least one of the incubator, the culture medium supply unit, the recording unit, the storage unit, and the image analysis unit,
The storage unit is
Information on gene mutations in which specific cancer gene information, CTC/cfDNA mark information, experimental data information, and clinical information for the blood cell donor are separated is divided by patient, group, and gene, and the relationship between genes and clinical information And further comprising text information that can confirm the relevance of the disease and mutation information,
The recording unit is
a camera for photographing the mononuclear cells;
a lens for adjusting the magnification of the camera;
an illumination module irradiating light to the mononuclear cells when the mononuclear cells are photographed; and
A second actuator for moving at least one of the camera, lens and lighting module,
The control unit is
Further comprising a recording unit control unit for controlling the operation of the recording unit,
The recording unit control unit,
Based on at least one of the type and location of the mononuclear cell, at least one of the lighting module and the second actuator is controlled so that one cell in the incubator takes an image over 10 camera pixels. Analysis-based cancer progression prediction device.
The method according to claim 1,
The incubator,
a temperature sensor for measuring a temperature inside the incubator;
a carbon dioxide concentration sensor for measuring the carbon dioxide concentration inside the incubator;
a humidity sensor for measuring the humidity inside the incubator;
a flow rate sensor for measuring the flow rate of the culture medium flowing into the incubator; and
A blood cancer cell analysis-based cancer progression prediction device comprising a flow sensor for measuring the amount of the culture medium flowing into the incubator.
The method according to claim 1,
The culture solution supply unit includes a first actuator for delivering the culture solution to the incubator,
The culture solution supply unit control unit included in the control unit controls the first actuator based on at least one of the environment inside the incubator, the type of the mononuclear cells, and the culture conditions of the mononuclear cells. .
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