Vision BioSystems Progesterone Receptor Clone 16 (PGR Clone 16) Mouse Monoclonal antibody is intended for laboratory use to qualitatively identify by light microscopy, progesterone receptor (PGR) antigen in sections of formalin fixed paraffin embedded tissue. PGR Clone 16 specifically binds to the PGR antigen located in the nucleus of PGR positive normal and neoplastic cells. Novocastra™ antibodies are intended for manual use. Origin™ antibodies are optimized for use with the Ventana® Medical Systems, NexES® and BenchMark™ Immunohistochemistry Staining Systems in combination with Ventana® Detection Kits. Bond™ Ready-to-Use Primary Antibodies are optimized for use on the Vision BioSystems Bond-max™ system.
Device Story
PGR Clone 16 is a mouse monoclonal antibody designed for immunohistochemistry (IHC) staining. It targets the progesterone receptor (PGR) antigen located in the nuclei of normal and neoplastic cells. The device is used in a laboratory setting by trained personnel. It is applied to formalin-fixed, paraffin-embedded tissue sections. The antibody binds to the PGR antigen, which is then visualized via light microscopy. The resulting staining pattern is interpreted by a qualified pathologist in conjunction with morphological studies, patient clinical history, and other diagnostic tests. This information assists clinicians in the management, prognosis, and therapy prediction for breast cancer patients. The device is available in various formats, including lyophilized, liquid, and ready-to-use configurations, optimized for manual use or specific automated staining systems (Ventana NexES/BenchMark or Vision BioSystems Bond-max).
Clinical Evidence
No clinical data provided; bench testing only.
Technological Characteristics
Mouse monoclonal antibody; immunohistochemistry reagent. Formats: lyophilized, liquid, and ready-to-use. Compatible with manual staining or automated systems (Ventana NexES/BenchMark, Bond-max). Principle: specific binding to nuclear PGR antigen followed by light microscopy visualization. Class II device (21 CFR 864.1860).
Indications for Use
Indicated for the qualitative identification of progesterone receptor (PGR) antigen in formalin-fixed, paraffin-embedded breast tissue sections to aid in the management, prognosis, and prediction of therapy outcome for breast cancer patients. Intended for use by qualified pathologists.
Regulatory Classification
Identification
Immunohistochemistry test systems (IHC's) are in vitro diagnostic devices consisting of polyclonal or monoclonal antibodies labeled with directions for use and performance claims, which may be packaged with ancillary reagents in kits. Their intended use is to identify, by immunological techniques, antigens in tissues or cytologic specimens. Similar devices intended for use with flow cytometry devices are not considered IHC's.
Special Controls
(2) Class II (special control, guidance document: “FDA Guidance for Submission of Immunohistochemistry Applications to the FDA,” Center for Devices and Radiologic Health, 1998). These IHC's are intended for the detection and/or measurement of certain target analytes in order to provide prognostic or predictive data that are not directly confirmed by routine histopathologic internal and external control specimens. These IHC's provide the pathologist with information that is ordinarily reported as independent diagnostic information to the ordering clinician, and the claims associated with these data are widely accepted and supported by valid scientific evidence. Examples of class II IHC's are those intended for semiquantitative measurement of an analyte, such as hormone receptors in breast cancer.
{0}
1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number:
K062615
B. Purpose for Submission:
Marketing product in the U.S.
C. Measurand:
Progesterone Receptor on formalin-fixed paraffin-embedded breast cancer specimens
D. Type of Test:
Immunohistochemical
E. Applicant:
Vision BioSystems
F. Proprietary and Established Names:
Vision BioSystems Progesterone Receptor PGR Clone 16
Novocastra™ Ready-To-Use Primary Antibody (Catalog No: RTU-PGR-312)
Novocastra™ Liquid Mouse Monoclonal Antibody (Catalog No: NCL-L-PGR-312)
Novocastra™ Lyophilized Mouse Monoclonal Antibody (Catalog No: NCL-PGR-312)
Origin™ Ready-To-Use Primary Antibody (Catalog No: ORG-8821)
Bond™ Ready-To-Use Primary Antibody (Catalog No: PA0312)
G. Regulatory Information:
1. Regulation section:
21 CFR §864.1860 Immunohistochemistry reagents and kits
{1}
2. Classification:
Class II
3. Product code:
MXZ
4. Panel
Pathology (88)
H. Intended Use:
1. Intended use(s):
Vision BioSystems Progesterone Receptor Clone 16 (PGR Clone 16) Mouse Monoclonal antibody is intended for laboratory use to qualitatively identify by light microscopy, progesterone receptor (PGR) antigen in sections of formalin fixed paraffin embedded tissue. PGR Clone 16 specifically binds to the PGR antigen located in the nucleus of PGR positive normal and neoplastic cells.
Novocastra™ antibodies are intended for manual use. Origin™ antibodies are optimized for use with the Ventana® Medical Systems, NexES® and BenchMark™ Immunohistochemistry Staining Systems in combination with Ventana® Detection Kits. Bond™ Ready-to-Use Primary Antibodies are optimized for use on the Vision BioSystems Bond-max™ system.
2. Indication(s) for use:
PGR Clone 16 is indicated as an aid in the management, prognosis and prediction of therapy outcome of breast cancer. The clinical interpretation of any staining or its absence should be complemented by morphological studies using proper controls and should be evaluated within the context of the patient's clinical history and other diagnostic tests by a qualified pathologist.
3. Special conditions for use statement(s):
Prescription use only.
4. Special instrument requirements:
Origin™ antibodies are optimized for use with the Ventana® Medical Systems, NexES® and BenchMark™ Immunohistochemistry Staining Systems in combination with Ventana® Detection Kits.
2
{2}
Bond™ Ready-to-Use Primary Antibodies are optimized for use on the Vision BioSystems Bond-max™ system
I. Device Description:
Vision BioSystems PR 16 is a monoclonal antibody that specifically binds to the progesterone receptor antigen located in the nuclear region of a variety of normal and neoplastic tissues routinely processed and paraffin-embedded. PGR Clone 16 is intended for use in standard immunohistochemical staining procedures to allow for visualization of the targeted antigen by the sequential application of the PGR Clone 16 primary antibody, visualization reagent, and chromogen, resulting in a visible reaction at the antigen site. Results are evaluated using a light microscope. The antibodies are available as ready-to-use, concentrated, lyophilized, a version optimized for use with the Ventana Medical Systems Automated Stainers and a version for use with Vision BioSystems Bond-max™ System.
Novocastra™ Ready-To-Use Primary Antibody (manual) is a mouse anti-human monoclonal antibody produced as a tissue culture supernatant. This product is supplied in a ready-to-use format presented in 5% horse serum in PBS containing 12mM sodium azide as a preservative. The total antibody concentration is greater than or equal to 1.8 mg/L as determined by ELISA.
Novocastra™ Liquid Primary Antibody (manual) is a mouse anti-human monoclonal antibody produced as a liquid tissue culture supernatant containing 15mM sodium azide as a preservative. The total antibody concentration is greater than or equal to 1.8 mg/L as determined by ELISA.
Novocastra™ Lyophilized Primary Antibody (manual) is a mouse anti-human monoclonal antibody produced as a lyophilized tissue culture supernatant containing 15mM sodium azide as a preservative. The user is required to reconstitute the contents of the vial with sterile distilled water prior to use. The total antibody concentration is greater than or equal to 324.0 mg/L as determined by ELISA.
Vision BioSystems Bond™ Ready-To-Use Primary Antibody (automated for Bond-max™ System) is a mouse anti-human monoclonal antibody produced as a tissue culture supernatant. This product is supplied in a ready-to-use format and in Tris buffered saline with carrier, containing 0.35% ProClin™ 950 as a preservative. The total protein concentration is approximately 10 mg/mL and the antibody concentration is greater than or equal to 0.72 mg/L as determined by ELISA.
Origin™ Ready-To-Use Primary Antibody (automated for Ventana Medical Systems Automated Stainers) is a mouse anti-human monoclonal antibody. This product is supplied in a ready-to-use format and in phosphate buffer pH 7.3 with 3 mg/ml carrier protein and 0.05% ProClin™ 300 as a preservative. The antibody concentration is greater than or equal to 1.8 mg/L as determined by ELISA.
3
{3}
4
J. Substantial Equivalence Information:
1. Predicate device name(s):
Dako Mouse Anti-Human Progesterone Receptor Clone PgR 636
2. Predicate 510(k) number(s):
K020023
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Antibody type | Monoclonal mouse | same |
| Intended use | Semi-quantitative detection of ER | same |
| Technology | Immunohistochemistry | same |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Immunogen | Formalin-fixed recombinant full-length A form of the human progesterone receptor | Prokaryotic recombinant protein corresponding to the N-terminal region of the A form of the human progesterone receptor |
| Clone | 16 | PGR 636 |
K. Standard/Guidance Document Referenced (if applicable):
“Guidance for Submission of Immunohistochemistry Applications to the FDA”
L. Test Principle:
Vision BioSystems Progesterone Receptor (Clone 16), specifically binds to progesterone receptor antigen located in the nuclear region of a variety of normal and neoplastic tissues. Immunohistochemical staining is performed on routinely processed, paraffin-embedded specimens allowing the qualitative identification by light microscopy of the antigens. Prior to staining, endogenous peroxidase activity is blocked and sections are subjected to epitope retrieval. The section is subsequently incubated with the primary antibody. For the Novacastra™ and Origin™ products, a
{4}
biotin-conjugated secondary antibody formulation that recognizes mouse immunoglobulins is used to detect the primary antibody. A streptavidin- or ABC-peroxidase conjugate is then applied and binds to the biotin present on the secondary antibody. For the Bond™ product, a polymer refine detection system is used. This system utilizes a controlled polymerization technology to prepare polymeric HRP-linker antibody conjugates. Sections are then incubated with the substrate/chromogen, 3,3'- diaminobenzidine (DAB). Reaction with the peroxidase produces a visible brown precipitate at the antigen site. Sections are counter stained with hematoxylin and cover slipped. Results are interpreted using a light microscope
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
a. Precision/Reproducibility:
b. Linearity/assay reportable range: N/A
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Positive and negative controls should be performed with each staining run. The pathologist is responsible for assuring that the assay is performing properly.
d. Detection limit: N/A
e. Analytical specificity:
Novacastra™ Mouse Monoclonal Antibodies and Origin™ Ready-To-Use Primary Antibody: Specificity was evaluated on a range of normal tissues. Characteristic staining was observed in the nuclei of cells that express high levels of the protein: a proportion of endometrial, ovarian, and myometrial cells, and normal breast ductal cells. Negative tissues included adrenal, bone marrow, brain (cerebellum), brain (cerebrum), colon, esophagus, heart, kidney, liver, lung, mesothelial cells, parathyroid, peripheral nerve, salivary/submandibular gland, skeletal muscle, skin, small intestine, spleen, spinal cord, stomach, testis, thymus, and thyroid. Weak staining was observed in ovary stromal cells and occasional islet cells of the pancreas.
5
{5}
Bond™ Ready-To-Use Primary Antibody: An evaluation on a panel of normal tissues was conducted using the Bond™ Ready-To-Use Clone 16 primary antibody in conjunction with Bond™ Refine Detection System on the Vision BioSystems Bond-max™ slide staining system. A total of 85 formalin-fixed and paraffin-embedded tissues covering a wide range of normal human tissue types were tested with the ER antibody. The antibody demonstrated negative immunoreactivity with most tissues. Positive immunoreactivity was noted with some normal tissues which are typically positive, like uterus, ovary and ductal epithelial cells of the breast. Positive staining was also observed in ovary stromal cells, islet cells of the pancreas, the muscle layer of the small intestines and the capsular region of the testis.
f. Assay cut-off:
Slides are scored using the Quick Score System. The tumor is scored according to the proportion on cell nuclei stained (1-5) and the intensity of the staining (0-3). A score of 3 or over is classified as receptor positive.
2. Comparison studies:
a. Method comparison with predicate device:
The substantial equivalence studies were based on comparison to Dako PgR Clone 636. The comparison studies were conducted at two clinical sites for each configuration.
Novocastra Primary Antibody Configuration (NCL-L-PGR-312)
| | NCL-L-PGR-312 | | |
| --- | --- | --- | --- |
| PgR 636 | Positive | Negative | Total |
| Positive | 113 | 0 | 113 |
| Negative | 3 | 73 | 76 |
| Total | 116 | 73 | 189 |
Total agreement was found to be 98% (186/189) with 95% CI (95%, 100%). Negative percent agreement is 96% (73/76), 95% CI (89%, 99%) and positive percent agreement 100% (113/113), 95% CI (97%, 100%).
{6}
Origin Configuration (ORG-8721)
| | ORG-8721 | | |
| --- | --- | --- | --- |
| PgR 636 | Positive | Negative | Total |
| Positive | 110 | 8 | 118 |
| Negative | 5 | 82 | 87 |
| Total | 115 | 90 | 205 |
Total agreement was found to be 94% (192/205) with 95% CI (89%, 97%). Negative percent agreement is 94% (82/87), 95% CI (89%, 99%) and positive percent agreement 93% (110/118), 95% CI (87%, 97%).
Bond-max Configuration (PA0312)
| | NCL-L-PGR-312 | | |
| --- | --- | --- | --- |
| PgR 636 | Positive | Negative | Total |
| Positive | 120 | 3 | 123 |
| Negative | 8 | 72 | 80 |
| Total | 128 | 75 | 203 |
Total agreement was found to be 95% (192/203) with 95% CI (91%, 97%). Negative percent agreement is 90% (72/80), 95% CI (93%, 99%) and positive percent agreement 98% (120/123), 95% CI (81%, 96%).
b. Matrix comparison:
N/A
3. Clinical studies:
a. Clinical Sensitivity:
b. Clinical specificity:
c. Other clinical supportive data (when a. and b. are not applicable):
{7}
4. Clinical cut-off:
5. Expected values/Reference range:
N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
O. Conclusion:
1. The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
8
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.
