Timely Fixation Enhances Cancer Treatment Testing
Study shows quick sample handling improves HRD testing accuracy for better treatment decisions.
Ezgi Karagöz, Sanna Pikkusaari, Manuela Tumiati, Anni Virtanen, Matilda Salko, Anni Härkönen, Anna Kanerva, Heidi Koskela, Johanna Tapper, Riitta Koivisto-Korander, Titta Joutsiniemi, Ulla-Maija Haltia, Heini Lassus, Anniina Färkkilä, Johanna Hynninen, Sakari Hietanen, Liisa Kauppi
― 6 min read
Table of Contents
- The Role of Biomarkers in Treatment
- Types of HRD Tests
- Overcoming the Sample Handling Issue
- Our Study: Timing Matters
- Who We Looked At
- How We Tested the Samples
- The Retrospective Group
- The Prospective Group
- Pooling the Data
- Primary vs. Metastatic Samples
- What's Next?
- Why This Matters
- Conclusion
- Original Source
When it comes to serious health issues like high-grade serous ovarian cancer (HGSC), understanding the treatment options can feel like navigating a maze without a map. Over the past few years, we’ve seen some changes in how this type of cancer is treated. One exciting development is the use of a group of drugs called PARP Inhibitors. These drugs are used to help keep the cancer from coming back after patients have had chemotherapy. But, as with many things in life, there’s a catch: not all tumors respond equally well to these drugs.
The Role of Biomarkers in Treatment
A crucial factor in determining who benefits from PARP inhibitors is a feature called Homologous Recombination Deficiency (HRD). To put it simply, tumors with HRD have a harder time repairing themselves after being damaged, making them more susceptible to treatments that cause DNA damage, like chemotherapy. On the other hand, about half of HGSC cases have what’s called HR Proficient (HRP) tumors. These tumors are better at fixing themselves, which can lead to treatment resistance and poorer outcomes for patients.
In the clinic, we find out if a tumor has HRD mostly through genetic testing. Doctors want to know if a patient’s tumor will respond well to PARP inhibitors, and this is where biomarkers come in. The European Society for Medical Oncology (ESMO) is on board with using these biomarkers to predict how well a patient may respond to treatments, especially when it comes to deciding if PARP inhibitors are a good option.
Types of HRD Tests
There are three main ways to test for HRD:
- Checking for specific gene mutations linked to DNA repair, like BRCA1 and BRCA2.
- Looking for genetic "scars" and patterns indicating how many times the DNA has been damaged.
- Conducting functional tests that measure how well the tumor’s DNA repair system is working.
Each of these tests has its strengths and weaknesses. The DNA-based testing usually needs a good amount of tumor cells to give reliable results. Unfortunately, this is not always possible, especially if the patient has already received treatment or if the sample was taken using a needle biopsy.
On the brighter side, functional tests can work even when there isn’t much tumor material. This method looks at a protein called Rad51, which plays a key role in repairing DNA, and can be done using samples that are fixed in formaldehyde, which is a common way to preserve tissue for testing.
Overcoming the Sample Handling Issue
We previously showed that the functional HR test, which counts RAD51 protein levels in tumor cells, can help predict how well a patient will respond to both chemotherapy and PARP inhibitors. However, we also realized that how a tissue sample is handled after it's taken is crucial for getting accurate results. For instance, if samples sit around without being processed for too long after they are cut out, the amount of RAD51 can drop significantly, making it harder to get accurate readings.
Unfortunately, no standard guidelines exist for how quickly HGSC tissue samples should be fixed, which leaves a big gap in producing reliable test results.
Our Study: Timing Matters
In our research, we wanted to find out just how much time after cutting a sample makes a difference for test results. Specifically, we looked at RAD51 protein levels in samples taken from patients with HGSC.
Who We Looked At
We collected samples from 27 patients, all of whom gave their consent to participate. We got samples from various areas, such as the ovaries and surrounding tissues. To simplify the analysis, we organized them into two groups: those that had been collected earlier (retrospective cohort) and those that were collected more recently (prospective cohort).
How We Tested the Samples
In our process, we took each tumor sample and split it into multiple pieces. One piece was put in fixative right away, while the others were delayed. After embedding the samples in paraffin, we assessed RAD51 levels. We categorized the samples into two types: functionally HR-deficient (fHRD) and HR-proficient (fHRP).
Visual Results: We took images to show how changes in fixation timing affected RAD51 levels. You could clearly see a big drop in RAD51 signal if the sample sat around for longer.
The Retrospective Group
In our retrospective group, we analyzed samples from patients who had not yet begun treatment. Out of 18 samples, we found that 12 had lower RAD51 levels after being delayed in fixation. This resulted in a surprising 33% of these tumors switching from HR proficient to HR deficient, which could lead to misdiagnosis.
The Prospective Group
In the prospective group, we specifically tested samples after different lengths of time: 1, 2, 4, and 6 hours. We started to see a drastic drop in RAD51 levels after just 2 hours compared to the 1-hour group.
By the time we reached the 6-hour mark, several tumors had switched categories, just like in the retrospective group.
Pooling the Data
After evaluating both groups, we combined the data to get a clearer picture of how fixation timing impacted the results. We compared samples that had short fixation times (under 2 hours) with those that had longer times, and noticed a significant decrease in RAD51 levels in the longer fixation group.
Interestingly, the samples from the short fixation group had more varied RAD51 levels than those from the longer fixation group, demonstrating the importance of quick processing.
Primary vs. Metastatic Samples
We also looked closer at whether the tissue type mattered. We compared primary tumor samples (from the ovary) with metastatic samples (from other sites). Most primary samples retained their HR status even after a long wait, while many metastatic samples showed a significant drop in RAD51 levels.
What's Next?
We went further to analyze the geminin marker, which helps identify how many cells are in the active part of the cell cycle. Unlike RAD51, geminin levels didn’t show a significant drop with longer fixation times. This could suggest that different biomarkers react differently to the delay.
In summary, we found that how long a sample waits before being fixed is a key factor affecting the results of HRD testing. Longer waits can lead to misleading results, which may affect treatment decisions. We suggest that making sure samples get fixed within 2 hours is best practice to avoid these inaccuracies.
Why This Matters
Having reliable tests for cancer biomarkers matters greatly for tailoring treatment. Functional HR tests, especially those looking at RAD51, hold strong promise for guiding decisions about PARP inhibitor therapies.
By shining a light on the importance of processing time, this study aims to improve the overall quality of diagnostics in HGSC treatment. With better protocols for sample handling, we can provide more accurate diagnoses and, ultimately, better care for patients battling this challenging disease.
Conclusion
In conclusion, we need to remember that time is of the essence when it comes to handling cancer samples. Rapid and standardized fixation procedures should be a priority, ensuring that samples are put in the appropriate fixative as soon as possible—ideally within 2 hours. This will help avoid any mix-ups in treatment plans, and keep patients on the path to recovery.
And remember, in the world of cancer research, every second counts—literally!
Original Source
Title: Length of ischemic time is critical for accurate determination of homologous recombination capacity by immunostaining in FFPE tumor samples
Abstract: Homologous recombination-deficient (HRD) high-grade serous ovarian cancers (HGSC) are more sensitive to PARP inhibitors compared to their homologous recombination-proficient counterparts. To match the right drug with the right patient the HRD status must be accurately determined. Functional HRD assays, which assess HRD status by quantifying RAD51, a key homologous recombination (HR) protein, are a promising approach for identifying HRD cases. However, these tests are yet to be optimized for pre-analytical variables, specifically HGSC tissue sampling protocols, which can impact RAD51 signal measurement. In this study, we systematically analyzed the impact of ischemic time on formalin-fixed paraffin-embedded HGSC specimens. We demonstrate that the maximum length of ischemic time compatible with accurate HRD calls is 2 hours post-excision. Our findings highlight the importance of properly monitoring and recording sample handling processes, particularly in HGSC, and warrant caution when using archival tumor material where this information is unavailable. Non-optimal pre-analytical factors like ischemic time can cause false HRD calls, thus leading to incorrect patient stratification, which may result in the initiation of treatments with potential side effects without a therapeutic benefit.
Authors: Ezgi Karagöz, Sanna Pikkusaari, Manuela Tumiati, Anni Virtanen, Matilda Salko, Anni Härkönen, Anna Kanerva, Heidi Koskela, Johanna Tapper, Riitta Koivisto-Korander, Titta Joutsiniemi, Ulla-Maija Haltia, Heini Lassus, Anniina Färkkilä, Johanna Hynninen, Sakari Hietanen, Liisa Kauppi
Last Update: 2024-11-29 00:00:00
Language: English
Source URL: https://www.medrxiv.org/content/10.1101/2024.11.28.24318148
Source PDF: https://www.medrxiv.org/content/10.1101/2024.11.28.24318148.full.pdf
Licence: https://creativecommons.org/licenses/by-nc/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
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