Lab values that may predict response to Ipi/Yervoy????

This article is not from ASCO, but I thought it was interesting after my last post on eosinophilia being associated with a response to anti-PD1...

Baseline neutrophil-to-lymphocyte ratio is associated with outcome of ipilimumab-treated metastatic melanoma patients.  Br J Cancer, 2015, May 26.  Ferrucci, Gandini, Battaglia, et al.

Ipi improves survival of metastatic melanoma patients.  Despite documented, durable objective responses, a significant number of patients fail to benefit.  Patients treated at 3 Italian institutions - 187 dosed with 3 mg/kg ipi and 27 with 10mg/kg ipi - were evaluated.  Neutrophil-to-lymphocyte ratio (NLR) was calculated from pre-therapy blood counts.  In the training cohort of 69 patients, pre-therapy NLR was identified as the strongest and independent marker for treatment benefit in multivariate analyses.  Patients with baseline NLR less than 5, had a significantly improved progression free survival and overall survival compared to those with a NLR equal or greater than 5.  Associations of low NLR with improved survival were confirmed in three validation cohorts.

Background info:

Neutrophils are the most frequent kind of white blood cell (40-75%) we have.  They form from stem cells in the bone marrow.  They live only 5-90 hours.  They can undergo chemotaxis, which allows them to travel rapidly to the site of an infection or inflammation.  Once there, they release cytokines that increase the inflammatory process and attracts other cells to the area.  They can ingest microorganisms or particles, thereby helping fight off disease.  Low neutrophils = neutropenia, can happen in anemia, in some types of leukemia, or be caused by medicines like chemo....leaving the person at risk for infection.

Lymphocytes are any of 3 types of white blood cell:  natural killer cells, T cells or B cells, all of which play a role in immunity.  They are the main cell found in lymph, ergo the name.  They live for weeks to years to a lifetime (a good thing when thinking about immunity!!), much longer than other white cells.  NK cells generally kill viruses and tumor cells.  Helper T cells release cytokines and growth factors that regulate other immune cells.  Cytotoxic T cells also kill cells infected with viruses and tumor cells.  B cells work in the secretion of antibodies.  Increased levels of lymphocytes - lymphocytosis - is often a sign of a viral infection.  Increased lymphs in the presence of decreased numbers of neutrophils can be due to lymphoma. Decreased lymphocytes - lymphocytopenia - is usually due to infection (like HIV), surgery or trauma and leaves the person immunocompromised.

A simple test from a basic blood collection is a CBC, which is a complete blood count. It tells you the number of red blood cells, white blood cells, hemoglobin, hematocrit, sizes of various cells, and the number of platelets in your blood.  A differential is usually run with the CBC and it breaks down the number of all the white blood cells.  Normal counts of the various white blood cells are broken down in percentages: 

• Neutrophils: 40% to 60%
• Lymphocytes: 20% to 40%
• Monocytes: 2% to 8%
• Eosinophils: 1% to 4%
• Basophils: 0.5% to 1%
• Bands (young neutrophils): 0% to 3%

All this to say.... IF this report holds true, it would be pretty easy to test a person for their number of lymphocytes and neutrophils, compute the ratio, and determine whether they are likely to benefit from treatment with ipi.  If the answer is no....we could avoid wasting time, treasure, avoid an ineffective treatment with the potential for side effects, and move them forward to a treatment that WILL provide benefit!!! I guess time will tell! - c

Neutrophils as a prognostic predictor in patients treated with ipi/Yervoy

Back in June, I posted this:  Lab values that may predict response to ipi/Yervoy   The article discussed baseline neutrophil-to-lymphocyte ratios specifically.  Here is an expanded study by the same lead author.

Baseline neutrophils and derived neutrophil-to-lymphocyte ratio: prognostic relevance in metastatic melanoma patients receiving ipilimumab.  Ferrucci, Ascierto, Pigozzo, et al.  Ann Oncol. 2016 Jan 22.

"Clinical responses to ipilimumab are variable in terms of onset, magnitude and duration. Upfront identification of patients who are more likely or unlikely to benefit from treatment is a major need.

Prospectively collected data from 720 advanced melanoma patients treated with ipilimumab 3 mg/kg within the Italian expanded access programme were analyzed. The derived neutrophil-to-lymphocyte ratio (dNLR) was calculated from baseline peripheral blood cell counts, and receiver operating characteristic curve was used to evaluate the best cut-off for this marker. Patients were stratified according to dichotomized baseline absolute neutrophil counts (ANC), dNLR, and their combination. The prognostic values of ANC and dNLR for survival were assessed using multivariate Cox proportional hazard models. A subgroup analysis including LDH in the models was also performed.

The median follow-up was 16.5 months. The optimal cut-off for dNLR was 3. 

Baseline ANC and dNLR were significantly associated with outcome of ipilimumab-treated melanoma patients, in terms of disease progression and death. Further, for each elevated variable, prognosis worsened. Patients with both ANC≥7500 and dNLR≥3 had a significantly and independently increased risk of death  and of progression compared to patients with both lower ANC and dNLR. Patients with one of the two factors elevated displayed an intermediate risk of progression and death. The 1-year and 2-years survival rates were 2% and 0%, respectively, for patients with ANC≥7500 and dNLR≥3, and 43% and 24%, respectively, for patients with both lower ANC and dNLR."

So....elevated absolute neutrophil counts as well as elevated neutrophil-to-lymphocyte ratios did not bode well for the 720 melanoma patients treated with ipi in this study.  The risk for progression and death was even greater when both of those values were increased.  This report is consistent with the findings from the initial, smaller study of  214 melanoma patients treated with ipi in which:  "Patients with baseline NLR (neutrophil-to-lymphocyte ratio) less than 5, had a significantly improved progression free survival and overall survival compared to those with a NLR equal or greater than 5."

For what it's worth....c 

Markers for response to immunotherapy: Increased eosinophils = good. Increased Myeloid Suppressor cells = not so good.

Myeloid Cells and related chronic inflammatory factors as novel predictive markers in melanoma treatment with ipilimumab.  Gebhardt, Sevko, Jiang, et al.  Clin Cancer Res. 2015 Aug 19.

Ipi improves survival of patients with metastatic melanoma.  Since only about 20% of patients experience long-term benefit, reliable markers are needed to predict response.  Analysis of blood of 59 Stage IV melanoma patients was analyzed before treatments and at different times during treatment.  An early increase in eosinophil count during treatment with ipi was associated with an improved clinical response. In contrast, elevated numbers of monocytic myeloid-derived suppressor cells (moMDSCs), neutrophils, and monocytes were found in non-responders (n=36) as compared to levels in responding patients (n=23).  Non-responders also produced more nitric oxide and granulocytic MDSCs expressed higher levels of PD-L1 ... suggesting their enhanced immunosuppressive capacity.  Upon the first ipi infusion, non-responders displayed high serum concentrations of S100A8/A9 and HMGB1 that attract and activate MDSCs.

So....folks with increased eosinophils do better.  Folks with increased numbers of myeloid-derived suppressor cells, neutrophils, and monocytes do not.  Here is more data to support the same findings:

Lab values that may predict response to Ipi

Eosinophilia and a positive response to nivo and pembro

In this link Weber talks ipi and combo's, several immunotherapy combo's are discussed...but the relevant part addresses the blood work from the folks taking nivo in my study:
 

Looking at pretreatment parameters in the periphery and the tumor-
Only baseline MDSC, myeloid derived suppressor cells, proved to be significant.
These are CD14, HLA-DR low, CD11 B+ cells, classic myeloid derived suppressor cells which express high levels of PDL1 and other check point proteins.
Neutrophil derived MDSC cells were not related.
The more myeloid suppressor cells you have, the worse the patient did both in response rate and survival. 
Weber hopes to soon have results of the levels of MDSC from within the tumors of these patients and see how that level related to outcomes.
You can block MDSC by incubating it with PD1 antibody as well as other check point proteins, so he is writing a grant proposal currently to test a combo of nivo with MDSC depletion.
Measurements of the T-regs in the periphery - Levels decreased in responders, in non-responders it went up. For this reason, also thinks that nivo with T-reg depletion is worth investigation.


Here, in a synopsis of articles about the positive effects of combining immunotherapy and radiation, Radiation for melanoma, better when combined with immunotheapy!, once again....patients do better when MDSCs are few and far between:  Concomitant with tumor regression from radiation, they noted that radiation and anti-PD-L1 worked together to reduce the local accumulation of tumor-inflitrating myeloid-derived suppressor cells (MDSCs)... {Note:  Remember, these are the bad guys that block your T cells.  In my study, the folks with high levels of MDSCs did least well, while those with the lowest levels did better.  That's why, some researchers, like Weber, are talking about depleting these cells in patients FIRST...then administering anti-PD1 or other immunotherapies!!}  So...the data acquired in this study demonstrated evidence of the interaction between radiation and T cells....and a basis for the rational design of combination therapy with immune modulators and radiotherapy.

Really thinking the idea about depleting MDSCs at the start may really be the way to go here!!!  Best - c 

Blood markers associated with clinical outcome of melanoma treated with ipi

Baseline peripheral blood biomarkers associated with clinical outcome of advanced melanoma patients treated with ipilimumab.  Martens, Wistuba-Hamprecht, Geukes Foppen, et al. Clin Cancer Res. 2016 Jan 19.

[This study was done as an attempt to] identify baseline peripheral blood biomarkers associated with clinical outcome following ipilimumab treatment in advanced melanoma patients. Frequencies of myeloid-derived suppressor cells (MDSCs) and regulatory T cells (Tregs), serum lactate dehydrogenase (LDH), routine blood counts, and clinical characteristics were assessed in 209 patients. Endpoints were overall survival (OS) and best overall response. Statistical calculations were done by Kaplan-Meier- and Cox-regression-analysis including calibration and discrimination by C-statistics. Low baseline LDH, absolute monocyte counts (AMC), Lin-CD14+HLA-DR-/low-MDSC frequencies, and high absolute eosinophil counts (AEC), relative lymphocyte counts (RLC), and CD4+CD25+FoxP3+-Treg frequencies were significantly associated with better survival, and were considered in a combination model. 43.5% of patients presenting with the best biomarker signature had a 30% response rate and median survival of 16 months. In contrast, patients with the worst biomarkers (27.5%) had only a 3% response rate and median survival of 4 months. The occurrence of adverse events correlated with neither baseline biomarker signatures nor the clinical benefit of ipilimumab. In another model, limited to the routine parameters LDH, AMC, AEC, and RLC, the number of favorable factors (4 vs. 3 vs. 2-0) was also associated with OS in the main study and additionally in an independent validation cohort. A baseline signature of low LDH, AMC and MDSCs as well as high AEC, Tregs and RLC is associated with favorable outcome following ipilimumab. Prospective investigation of the predictive impact of these markers following ipilimumab and other treatments, e.g. PD-1 antibodies, is warranted. So...common themes we have been seeing lately:  LOW LDH, AMC and MDSC's bode well for those treated with immunotherapy.  More related info here: LDH: LDH as predictor of outcome Being female with low LDH and no ulceration...good with BRAFi White cells: Neutrophils as prognostic predictor MDSC's: Markers for response to immunotherapy T-regs: How to make anti-PD1 work better Have a beautiful weekend! -c

Simple blood tests that tell us how melanoma patients are responding to therapy and identify their disease in the first place....AGAIN!!!!

Yep.  It's me again, Margaret.  I'm still yelling about simple blood draws that can provide critical information related to the diagnosis of, feasibility of treatment for, response to treatment, and prognosis generally in melanoma patients!  Just last week I posted this:  More blood tests to determine prognosis as well as response to therapy in melanoma patients!!!

Now, there's this....

Clinical response to PD-1 blockade correlates with a sub-fraction of peripheral central memory CD4+ T cells in patients with malignant melanoma. Takeuchi, Tanemura, Tada, et al.  Int Immunol. 2017 Dec 23.

Cancer immunotherapy that blocks immune checkpoint molecules, such as PD-1/PD-L1, unleashes dysfunctional antitumor T-cell responses and has durable clinical benefits in various types of cancers. Yet its clinical efficacy is limited to a small proportion of patients, highlighting the need for identifying biomarkers that can predict the clinical response by exploring antitumor responses crucial for tumor regression. Here we explored T-cell responses associated with clinical benefits using peripheral blood mononuclear cells (PBMCs) from patients with malignant melanoma treated with anti-PD-1 monoclonal antibody (mAb). Pre- and post-treatment samples were collected from two different cohorts (discovery set and validation set) and subjected to mass cytometry assays that measured the expression levels of 35 proteins. Screening by high dimensional clustering in the discovery set identified increases in three micro-clusters of CD4+ T cells, a subset of central memory CD4+ T cells harboring CD27+FAS-CD45RA-CCR7+ phenotype, after treatment in long-term survivors, but not in non-responders. The same increase was also observed in clinical responders in the validation set. We propose that increases in this subset of central memory CD4+ T cells in peripheral blood can be potentially used as a predictor of clinical response to PD-1 blockade therapy in patients with malignant melanoma.

Here researchers looked at the blood of folks before and after patients with melanoma were treated with anti-PD-1.  They found that a particular type of CD4+ T cell increased in long term survivors and clinical responders...but NOT in non-responders.

That seems pretty straight forward to me!  But, there's more....

A high neutrophil to lymphocyte ratio prior to BRAF inhibitor treatment is a predictor of poor progression-free survival in patients with metastatic melanoma. Finon, Zaragoza, Maillard, et al. Eur J Dermatol. 2018 Jan 16.

Some studies have shown that a high neutrophil/lymphocyte ratio (NLR) greater than or = to 4 before initiating ipilimumab treatment is an independent prognostic indicator of poor survival in patients with metastatic melanoma (MM). To determine whether the NLR before starting BRAF inhibitor (BRAFi) treatment in patients with (MM) is associated with progression-free survival (PFS). This retrospective study included 49 patients consecutively receiving BRAFi for MM between July 2012 and December 2014. Cox proportional hazards regression was used to analyse the relationship between NLR and other factors, such as lactate dehydrogenase (LDH), performance status, BRAFi as first- or second-line therapy, and corticosteroid intake with PFS. The NLR before starting BRAFi was significantly associated with PFS based on univariate analysis and multivariate analysis adjusted for potential confounding factors, such as LDH activity, ulceration, performance status, first-line therapy, and corticosteroid intake. A high NLR (continuous variable) was associated with short PFS, and NLR greater than or = to 4 was associated with shorter PFS . Corticosteroid intake was not associated with short PFS based on multivariate analysis. An NLR greater than 4, before starting BRAFi treatment, is an independent prognostic indicator of poor progression-free survival.

SO.....again ~ folks with a high NLR (greater than or = to 4) did worse!!!  This is NOT news people.  I've been yelling about this since 2015!!!

That fact was valid when the NLR was tested in folks without metastatic disease ~  Neutrophil-to-lymphocyte ratios as a predictor of death from melanoma in patients with NONmetastatic disease
That fact was valid when the NLR was examined in regard to ipi (as noted in the above article) ~  Neutrophils as a prognostic predictor in patients trated with ipi/Yervoy
That fact was valid when first postulated in 2015 ~  Lab values that may predict response to Ipi/Yervoy????

Do we really need to examine that any further???  There is also this...

Development and validation of a plasma-based melanoma biomarker suitable for clinical use.  Van, Lincoln, Van Laar.  Br J Cancer. 2018 Jan 23.

In Australia, more money is spent on skin cancer than any other malignancy. Despite this, the mortality rate of melanoma, the deadliest form, has steadily increased over the past 50 years. Diagnostic imprecision and a lack of complimentary molecular biomarkers are partially responsible for this lack of progress.

Whole-microRNAome profiling was performed on plasma samples from 32 patients with histologically confirmed melanoma and 16 normal controls. A classification algorithm was trained on these data and independently validated on multiple previously published microRNA data sets, representing (i) melanoma patient- and normal-blood, (ii) melanoma and nevi biopsy tissue, and (iii) cell lines and purified exosomes.

38 circulating microRNAs had biologically and statistically significant differences between melanoma and normal plasma samples (MEL38). A support vector machine algorithm, trained on these markers, showed strong independent classification accuracy (AUC 0.79-0.94). A majority of MEL38 genes have been previously associated with melanoma and are known regulators of angiogenesis, metastasis, tumour suppression, and treatment resistance.

MEL38 exhibits disease state specificity and robustness to platform and specimen-type variation. It has potential to become an objective diagnostic biomarker and improve the precision and accuracy of melanoma detection and monitoring.

Here folks looked at blood samples for microRNA whose presence helped define the difference between melanoma and normal plasma.  

I have endless posts regarding the examination of tumor DNA in the blood of melanoma patients, allowing for the identification of disease, BRAF status, progression, response, etc.  Earlier this month, I posted this:  Circulating tumor DNA to help differentiate true progression of melanoma vs pseudoprogression in patients treated with anti-PD-1  Here are about a zillion additional posts:  Circulating melanoma DNA

Really people!  Can someone not do a definitive study on a larger scale...rather than piecemeal this and that....without sharing data...to come up with a valid and specific melanoma panel???  We have simple lipid panels that help guide heart health.  We have lab draws and tests that help diagnosis and monitor diabetes.  No set of labs is an absolute for ANYTHING.  BUT!!!!  They are incredibly important tools in diagnosing, treating and managing a wide variety of disease processes.  They can do that for melanoma, too!!!   We have learned that we can look at T cells, other basic blood cells, tumor DNA, RNA, all sorts of bits and bobs....floating in the blood of patients with melanoma, to provide meaningful information that could allow melanoma patients and their doctors a mechanism for making better choices in their treatment and care.

Radiologic scans expose us to radiation, "find" lots of red herrings, and are a huge financial burden.  They also have limits regarding what they can see.  Sub-centimeter tumors, not to mention little demon melanoma cells floating about, are not visualized.  Additionally, imaging studies are cumbersome and have a built in time lag that can delay needed therapy or a change in current therapy as patients wait for "their next scan" to be compared to a prior one in order to define disease status.  Determining pathology from tumor samples is often confusing.  I had to have my initial slides examined by 3 pathologists to gain consensus that I was in fact dealing with melanoma.  Folks need and deserve answers. A basic algorithim that incorporates all forms of investigation including blood markers, nuclear, radiographic, and tissue examination needs to be established for melanoma. NOW!!!

Seriously..NOW!!! - c

High NLR associated with treatment failure in melanoma when treated with PD-1 as a single agent

We have known that an elevated neutrophil-to-lymphocyte ratio (NLR) is associated with decreased response to immunotherapy and shortened overall survival in melanoma patients for some time.  I first reported on it in this post from 2015 which also includes some basic information on neutrophils and lymphocytes generally:  Lab values that may predict response to Ipi/Yervoy????  Unfortunately, we have also learned that high baseline NLR has an adverse impact on melanoma peeps being treated with targeted therapy as well:  Neutrophil-to-lymphocyte ratio and outcomes in melanoma. Yep, AGAIN!!!!! (High baseline neutrophil-to-lymphocyte ratio predicts worse outcome in patients with metastatic BRAF-positive melanoma treated with BRAF and MEK inhibitors)

Since then, many posts have followed, including those out of ASCO 2019:   Posts addressing NLR and response in melanoma

Now, there's this:

High neutrophil-to-lymphocyte ratio (NLR) is associated with treatment failure and death in patients who have melanoma treated with PD-1 inhibitor monotherapy.  Bartlett, Flynn, Panageas, et al.  Cancer.  2019 Oct 4.  An elevated neutrophil-to-lymphocyte ratio (NLR) is associated with poor survival in patients with cancer, including those who receive immunotherapies. The authors sought to investigate NLR as a biomarker of treatment outcomes in patients with melanoma who were treated with PD-1 inhibition. Patients undergoing initial treatment with PD-1 inhibitor monotherapy for stage IV melanoma at a single center from 2012 to 2015 were included. Clinical characteristics and the NLR at baseline and before subsequent treatment cycles were collected. The time to treatment failure (TTF) and overall survival (OS) were evaluated using Kaplan-Meier and landmark analyses. Among 224 study patients, 63 (28%) had a baseline NLR greater than/= to 5. The baseline NLR was significantly associated with Eastern Cooperative Oncology Group performance status and the number of involved metastatic sites. With a median follow-up of 39 months in survivors, a baseline NLR greater than/= to 5 was independently associated with shorter OS and TTF. An NLR increase greater than/= to 30% during the first 2 cycles of treatment was associated with worse OS (median, 47 vs 13.5 months) and a trend toward shorter TTF (12.8 vs 5.9 months). A combined baseline NLR greater than/= to 5 and an NLR increase greater than/= to 30% identified a small cohort with markedly shortened OS (median, 5.8 months) and TTF (median, 1.8 months). Elevated baseline NLR and an increased NLR early during treatment are prognostic for TTF and OS in patients who have melanoma treated with PD-1 inhibitor monotherapy. Combined, these biomarkers can widely risk-stratify patients for treatment failure and survival.

What is lacking in all this research is any precise answer as to what to do with this information.  If it were me, I would have docs follow my ratios, scary though that may be.  I don't think oncologists follow these labs consistently with an eye toward this result and I am certain that patients are not routinely made aware of such laboratory findings (much less their implications) when they are.  However, these lab values could be an important factor in decision making about whether or not to switch the type of therapy the patient in pursuing, look at clinical trial options, etc.  

Ain't nothing in melanoma easy.  For what it's worth ~ c

Pretreatment NLR levels prognostic in melanoma patients!

As noted in the discussion of adjuvant treatment by melanoma Big Dogs, biomarkers will no doubt come to play an important role in diagnosis and treatment management for melanoma patients.  I've reported on simple, easy to attain and run blood values to provide prognostic and response information for melanoma patients for a looooong time.  Collection of blood for the measurement and comparison of the quantity of white blood cells is just one.  Here are lots of reports:  Prior reports on neutrophils

Now there's this:

Prognostic significance of pretreatment neutrophil-to-lymphocyte ratio in melanoma patients:  A meta-analysis.  Zhan, Ma, Jian.  Clin Chim Acta. 2018 May 20.

Recently, the prognostic value of the neutrophil-to-lymphocyte ratio (NLR) has been widely evaluated in many cancers. Here we assessed the prognostic value of pretreatment NLR in melanoma.  A range of online databases was systematically searched up to March, 2018 for identify available studies which assessed the prognostic significance of NLR. Data from studies reporting a hazard ratio (HR) and 95% confidence interval (CI) were weighted by generic inverse-variance and pooled in random effects meta-analysis.

Twelve studies with 4593 individuals were included. Patients with elevated NLR had a significantly shorter overall survival (OS) and disease-free survival (DFS)/progression-free survival (PFS). Subgroup analyses showed that the negative prognostic effect of elevated NLR on OS remained substantial in North American and European populations and patients with non-metastatic and metastatic stage. Additionally, elevated NLR was related to worse OS in patients with melanoma, regardless of the sample size and the cut-off value.

Our findings suggest that elevated pretreatment NLR was associated with poor prognosis in melanoma patients, suggesting NLR might be a prognostic factor in patients with melanoma.

And again...

Neutrophil to lymphocyte ratio is an independent predictor of outcome for patients undergoing definitive resection for stage IV melanoma. Kanatsios, Melanoma Project, Li Wai Suen, et al. J Surg Oncol. 2018 Sep 9.

The aim of this study was to perform a retrospective analysis of survival rates and determine prognostic indicators for patients who underwent definitive surgical resection of stage IV melanoma.

Patients included were those who underwent complete resection of metastatic melanoma. Data was analyzed using IBM SPSS 2.0. Survival estimates were derived from Kaplan-Meier, log-rank, and Breslow tests.
The study population (n = 95) consisted of 60 males and 35 females. Median overall survival (OS) from the first metastasectomy was 49 months (31-67 months). OS at 1, 2, and 5 years was 92%, 87%, and 50% respectively. Predictors of survival included clear surgical margins compared to patients with positive margins (median OS 53 vs 20 months). A preoperative neutrophil to lymphocyte ratio less than 5 experienced a median OS of 65 months compared to 15 months.

This study's results are consistent with previous findings demonstrating favourable long-term outcomes following selective resection of metastatic melanoma. In addition to achieving clear surgical margins, a low preoperative neutrophil to lymphocyte ratio was associated with improved outcomes. These factors may help identify surgical candidates.  (As well as those who may need to more aggressively pursue systemic treatment - adjuvant or other wise. Just my 2 cents!!!)

For what it's worth.  Again. - c

Neutrophil-to-lymphocyte ratios as a predictor of death from melanoma in patients with NONmetastatic disease

I've talked about Neutrophil-to-lymphocyte ratios before as prognostic predictor of a response to ipi/yervoy, noting that having an "....elevated absolute neutrophil counts as well as elevated neutrophil-to-lymphocyte ratios did not bode well for the 720 melanoma patients treated with ipi in this study.  The risk for progression and death was even greater when both of those values were increased.  This report is consistent with the findings from the initial, smaller study of  214 melanoma patients treated with ipi in which:  "Patients with baseline NLR (neutrophil-to-lymphocyte ratio) less than 5, had a significantly improved progression free survival and overall survival compared to those with a NLR equal or greater than 5."

Here's the link to both those reports:  Neutrophils as a prognostic predictor in patients treated with ipi/Yervoy

In this study, from different authors, the NLR is used as a biomarker in folks with NONmetastatic melanoma to predict potential for disease-specific death....

Elevated Blood Neutrophil-to-Lymphocyte Ratio: A Readily Available Biomarker Associated with Death due to Disease in High Risk Nonmetastatic Melanoma. Davis, Langan, Panageas, Postow, et al. Ann Surg Oncol. 2017 Mar 16.

Elevated peripheral blood neutrophil-to-lymphocyte ratio (NLR) is associated with poor oncologic outcomes in patients with stage IV melanoma and other solid tumors, but its impact has not been characterized for patients with high-risk, nonmetastatic melanoma.

Retrospective review of a melanoma database identified patients with high-risk melanoma who underwent operation with curative intent at a single institution. NLR was calculated from blood samples obtained within 2 weeks before operation. Multiple primary melanomas and concurrent hematologic or other metastatic malignancies were excluded. Cumulative incidence of death due to disease was estimated, and Gray's test was used to examine the effect of NLR on melanoma disease-specific death (DOD). Multivariable competing risks regression models assessed associated factors.

Data on 1431 patients with high-risk, nonmetastatic melanoma were analyzed. Median follow-up for survivors was 4 years. High NLR (greater/= to 3 or as continuous variable) was associated with older age, male sex, thicker primaries, higher mitotic index, and more advanced nodal status. On multivariate analysis, high NLR (greater/= to 3 or as a continuous variable), older age, male sex, ulcerated primary, lymphovascular invasion, and positive nodal status were all independently associated with worse DOD.


NLR is a readily available blood test that was independently associated with DOD in patients with high-risk, nonmetastatic melanoma. It is unclear whether high NLR is a passive indicator of poor prognosis or a potential therapeutic target. Further studies to evaluate the prognostic role of NLR to potentially identify those more likely to benefit from adjuvant immunotherapy may prove informative.

If this is so, then following these simple lab values may be super important in whether Stage III peeps should choose adjuvant treatment or not.  - c

Biomarkers - blood components, circulating tumor cells AND of the tumor itself

Biomarkers.  Sounds important.  What are they?  What can they really tell us? 

Researchers have been seeking to find a connection between nonspecific biomarkers (things we ALL have circulating in our blood) like LDH, various white blood cells (neutrophils and monocytes - whether as an absolute count or as a neutrophil to lymphocyte ratio), myeloid-derived suppressor cells (MDSCs) and T-regs (See post with links about all that here:   Blood markers associated with clinical outcomes).  And while many meaningful correlations have been drawn between these components and response to treatment (or lack thereof); the fact that they are all affected by numerous circumstances other than melanoma and its treatment, create limitations in the clarity with which they can be used to PREDICT responses.

With recent scientific advances, PCR testing (Polymerase chain reaction) has become more efficient and cost-effective, allowing labs to copy or "amplify" small segments of DNA or RNA though screening blood or other biological specimens.  This ability allows the cellular identification of whatever may be floating in that blood sample....whether it is a virus or fungus, or actual bits and pieces of tumor cells themselves, to allow a determination of  disease burden, prognosis, and response to treatment.  Here is an earlier post:  Circulating tumor cells: how they may eventually impact melanoma diagnosis and evaluation of response

Now there are these reports:

Liquid biopsy utility for the surveillance of cutaneous malignant melanoma patients.  Haung and Hoon.  Mol Oncol. 2015 Dec 17.

Cutaneous melanoma is one of the highest incident-rate cancers with increasing prevalence in Western societies. Despite the advent of new approved therapeutics, the 5-year overall survival rate of stage IV melanoma patients remains below 15%. Current treatments for late stage disease have shown higher efficacy when treated at a lower disease burden. Thus, blood-based biomarkers capable of detecting melanoma prior to clinically evident distant metastasis, will improve the treatment and outcomes for melanoma patients. To that end, effective treatment of melanoma necessitates identification of patients at risk for developing distant metastases. Furthermore, employing blood biomarkers that monitor cancer progression over the course of treatment is a promising solution to post-treatment drug resistance often developed in melanoma patients. Non-invasive blood biomarker assays allow for regular dynamic monitoring of disease. "Liquid Biopsy" of blood, which exploits circulating tumor cells (CTCs), cell-free circulating tumor DNA (ctDNA) and cell-free circulating microRNA (cmiRNA), has been shown to detect prognostic factors for relapse in AJCC stage III and stage IV melanoma patients. Moreover, molecular characterization of CTC and analysis of various forms of ctDNA present promising potential in development of individualized therapy for melanoma patients. New approaches such as massive parallel sequencing (MPS) provide a comprehensive view of the disease progression, allowing for the selection of therapeutic options for individual patients. With advancements of improving molecular assays, liquid biopsy analysis as a powerful, routine clinical assay for melanoma patients, is highly promising prospective.

Circulating melanoma cells as a potential biomarker to detect metastasis and evaluate prognosis.  Hida, Yoneta, Wakamatsu, et al.  Australas J Dermatol. 2016 Mar 1.

TNM staging is mainly used to evaluate the prognosis of melanoma patients. Serum biomarkers such as 5-S-cysteinyldopa (5-S-CD) have occasionally been used but most do not respond until the tumour burden becomes high. Recently, circulating melanoma cells (CMC) have been reported as a possible new biomarker to detect metastasis, monitor treatment response and predict prognosis. The object of this exploratory study was to evaluate the efficacy of CMC to detect metastasis and predict prognosis by cross-sectional and prospective observational analyses, respectively. Altogether 15 patients with stages II-IV melanoma were enrolled and CMC were enumerated by CellSearch system with cut-off values of two cells/7.5 mL. Serum 5-S-CD and lactate dehydrogenase (LDH) were also measured. The sensitivity of CMC and 5-S-CD for the detection of metastasis was 33 and 50%, respectively. The combination of CMC and 5-S-CD showed a sensitivity of 67%, the best performance among CMC, 5-S-CD, LDH and any combination of two of the markers. Additionally, a 30-month prospective observation showed that CMC could segregate patients with poorer prognosis. The median survival time for the patients with less than 2 CMC and those with greater than or equal to 2 CMC was 19.5 and 4.5 months, respectively. The limitation of this study is the small sample size. These preliminary results indicate CMC may complement the efficacy of 5-S-CD to detect metastasis and can be a prognostic marker. Although there is still room for improvement to maximize the sensitivity, the CellSearch system is reproducible, standardized and suitable for multi-center studies.

Then, there's the examination of the properties of the tumor sample itself.  This article talks about looking at the tumor in regard to how well it is being recognized by the immune system....specifically t-cells:
 

Melanoma-specific MHC-II expression represents a tumour-autonomous phenotype and predicts response to anti-PD-1/PD-L1 therapy.  Johnson, Estrada, Salgado, Sosman, et al.  Nat Commun.  2016 Jan 29.

Anti-PD-1 therapy yields objective clinical responses in 30-40% of advanced melanoma patients. Since most patients do not respond, predictive biomarkers to guide treatment selection are needed. We hypothesize that MHC-I/II expression is required for tumour antigen presentation and may predict anti-PD-1 therapy response. In this study, across 60 melanoma cell lines, we find bimodal expression patterns of MHC-II, while MHC-I expression was ubiquitous. A unique subset of melanomas are capable of expressing MHC-II under basal or IFNγ-stimulated conditions. Using pathway analysis, we show that MHC-II(+) cell lines demonstrate signatures of 'PD-1 signalling', 'allograft rejection' and 'T-cell receptor signalling', among others. In two independent cohorts of anti-PD-1-treated melanoma patients, MHC-II positivity on tumour cells is associated with therapeutic response, progression-free and overall survival, as well as CD4(+) and CD8(+) tumour infiltrate. MHC-II(+) tumours can be identified by melanoma-specific immunohistochemistry using commercially available antibodies for HLA-DR to improve anti-PD-1 patient selection.

Here...the tumor is being characterized by surface molecules that are correlated with prognosis:

Molecular markers to complement sentinel node status in predicting survival in patients with high risk locally invasive melanoma.  Rowe, Tang, Hughes, et al.  Int J Cancer. 2016 Mar 14. 

Sentinel lymph node status is a major prognostic marker in locally invasive cutaneous melanoma. However this procedure is not always feasible, requires advanced logistics, and carries rare but significant morbidity. Previous studies have linked markers of tumour biology to patient survival. In this study we aimed to combine the predictive value of established biomarkers in addition to clinical parameters as indicators of survival in addition to or instead of sentinel node biopsy in a cohort of high risk melanoma patients. Patients with locally invasive melanomas undergoing sentinel lymph node biopsy were ascertained and prospectively followed. Information on mortality was validated through the National Death Index. Immunohistochemistry was used to analyse proteins previously reported to be associated with melanoma survival, namely Ki67, p16, and CD163. Evaluation and multivariate analyses according to REMARK criteria were used to generate models to predict disease-free and melanoma-specific survival. 189 patients with available archival material of their primary tumour were analysed. Our study sample was representative of the entire cohort (N=559). Average Breslow thickness was 2.5 mm. 32 (17%) patients in the study sample died from melanoma during the follow-up period. A prognostic score was developed and was strongly predictive of survival, independent of sentinel node status. The score allowed classification of risk of melanoma death in sentinel node negative patients. Combining clinicopathological factors and established biomarkers allows prediction of outcome in locally invasive melanoma and might be implemented in addition to or in cases when sentinel node biopsy cannot be performed.

Here the tumor is being analyzed for specific genetic variations:   

Genomic and Transcriptomic Features of Response to Anti-PD-1 Therapy in Metastatic Melanoma.  Hugo, Zaretsky, Sun, et al.  Cell. 2016 Mar 15. 

PD-1 immune checkpoint blockade provides significant clinical benefits for melanoma patients. We analyzed the somatic mutanomes and transcriptomes of pretreatment melanoma biopsies to identify factors that may influence innate sensitivity or resistance to anti-PD-1 therapy. We find that overall high mutational loads associate with improved survival, and tumors from responding patients are enriched for mutations in the DNA repair gene BRCA2. Innately resistant tumors display a transcriptional signature (referred to as the IPRES, or innate anti-PD-1 resistance), indicating concurrent up-expression of genes involved in the regulation of mesenchymal transition, cell adhesion, extracellular matrix remodeling, angiogenesis, and wound healing. Notably, mitogen-activated protein kinase (MAPK)-targeted therapy (MAPK inhibitor) induces similar signatures in melanoma, suggesting that a non-genomic form of MAPK inhibitor resistance mediates cross-resistance to anti-PD-1 therapy. Validation of the IPRES in other independent tumor cohorts defines a transcriptomic subset across distinct types of advanced cancer. These findings suggest that attenuating the biological processes that underlie IPRES may improve anti-PD-1 response in melanoma and other cancer types.

While none of these (other than those that are simple measures of recognized blood components) are validated and ready for daily screening of cancer patients across this country....every step is important in helping docs...eventually....determine the best treatment options for the individual and monitor their response to that treatment in ways that are specific, easily measured, and less invasive and damaging to that patient.  What a beautiful day that will be!!!  Minimized only by the day we figure out how to avoid cancer entirely!  Hey....might as well live large and dream big!!! - c

B cells within the tumor aid response in patients with melanoma, sarcoma, and renal cell carcinoma

Here's a link to a new report out of MD Anderson:  B-cell enrichment predictive of immunotherapy response in melanoma, sarcoma and kidney cancer

Which states, in part:

Studies published today in Nature conclude that enrichment of B cells, a type of immune cell known for producing antibodies, in TLS was predictive of response to checkpoint blockade in patients with melanoma, soft-tissue sarcomas, and renal cell carcinomas.

Checkpoint inhibitors offer the potential for long-term survival to patients across many cancer types, but not all benefit equally. Researchers previously have identified several useful biomarkers of response, which are helpful in identifying patients that may or may not benefit from checkpoint blockade.  The current studies conclude that the presence of B cells and their location within TLS, which act as a lymph node within the tumor, is critical for response to checkpoint blockade, suggesting a dynamic interaction between several components of the immune system.

Mature B cells in tumors of responders suggest active role in tumor immune response

An MD Anderson-led study found that B-cell markers were the most differentially expressed genes in responders relative to non-responders, and B cells in the tumors of responders appeared to be more mature and specialized. These findings were first presented at the 2019 American Association for Cancer Research Annual Meeting.  “These findings open up a whole new area ― that B cells are actually big drivers in cancer immunotherapy, specifically checkpoint blockade,” said corresponding author Jennifer Wargo, M.D... “This could lead us to important biomarkers for therapy response as well as potentially new therapeutic options.”

The team analyzed samples from patients with advanced melanoma receiving neoadjuvant, or pre-surgical, checkpoint inhibitors as part of a clinical trial sponsored by MD Anderson’s Melanoma Moon Shot...  The researchers also studied a group of patients with metastatic RCC being treated with neoadjuvant checkpoint blockade...   Tumor samples were collected from patients at baseline and during treatment ...

In each cohort, the expression of B cell-related genes was significantly higher in responders and was predictive of response to checkpoint blockade. These findings were further corroborated in an analysis of curated melanoma samples from The Cancer Genome Atlas, in which high expression of B-cell markers was associated with significantly improved overall survival.

“These data indicate the importance of cell types other than T cells, such as B cells, in the anti-tumor immune responses generated by immune checkpoint therapies,” said Sharma. “There is a great need to identify biomarkers of response to therapy, and these data may allow for future studies focused on developing composite biomarkers that represent both the T- and B-cell responses.”

The researchers determined that B cells were localized in the TLS, and the density of B cells and TLS in the tumor was higher in responders. Further analysis of these infiltrating B cells showed that those in responders expressed more markers of mature and differentiated B cells, such as memory B cells and plasma cells.

“Through these studies, we find that B cells are not just innocent bystanders, but are themselves contributing in a meaningful way to the anti-tumor immune response,” said first author Beth Helmink, M.D., Ph.D., fellow in Surgical Oncology.  [Red highlight = mine]  

So - news, but not news.  Meaning we've long known that there is a wide array of tumor markers and cells that determine response - whether these bits and bobs block the immune system and work to protect the tumor or facilitate immune response and try to do away with tumors in our body.  It isn't  surprising that B cells contribute to that as well.

Here are a zillion prior posts on such markers and cells, which begins with this from 2016:  Biomarkers - blood components, circulating tumor cells AND of the tumor itself Biomarkers. Sounds important. What are they? What can they really tell us?

We know that everything from floating bits of DNA in our blood stream, to antigens, to eosinophils, to the absolute number of monocytes and lymphocytes, to neutrophils, to t cells, to myeloid derived suppressor cells can help or hurt us in the fight to rid ourselves of melanoma and other cancers.  Speaking of MDSC - here's a bit of a definition:  MDSC; the Most Important Cell You Have Never Heard Of  However, if you are Jeff Weber or a reader of this blog - you have!!!

Here are a few reports on the mystery of the MDSC:  Markers for response to immunotherapy: Increased eosinophils = good. Increased Myeloid Suppressor cells = not so good. 

In fact, in looking at t-regs from the ratties in my study, from this report put out in 2014, My Nivo (Opdivo) trial - first dose - 4 years ago 12/29/2010 - thoughts... it was noted that: 

MDSC  (myeloid derived suppressor cells)
"There was a trend towards lower baseline MDSC levels in non-relapsing patients compared to relapsing patients."  This bit of stuff and such along with other Treg/Tcell data comes your way thanks to us ratties sitting through leukapheresis twice during the trial. However, this is a bit I'm pretty psyched about.  There is talk among melanoma big dogs that combining anti-PD1 with MDSC or T-reg depletion would make it more effective.  I think that holds real promise.  Though...once again...despite my blood and services having been rendered....I have no idea what my MDSC levels were.  Still...I think this could be a real boon to future patients.

So, YES!  Let's tweak our tumor battle field.  Let's boost the cells that help us and diminish those that don't.  I am confident that these tiny bits and bobs play a huge role in the lives of human ratties who respond to immunotherapy and those who don't.  And, yes, MD Anderson, I've written about your Moon Shot, too - in 2012 ~ Melanoma. Moon Shot. Curiosity. Will.i.am. The best 5th grade teacher in the world.

C'mon Man!!!  It's 2020!!  While great strides have been made, we've got a long way to go!  So let's get there! - c