Bergan, Raymond C.

Abstract Background: In metastatic cancer, Circulating Tumor cells (CTCs) are established prognostic indictors of patients (pts) less likely to respond to new lines of systemic therapy, with poor clinical outcomes, such as shorter progression free survival (PFS) and overall survival (OS). However, CTCs are typically found in specific malignancies (breast, prostate & colon), often in <20% of pts with metastatic disease, and pts without CTCs may also rapidly progress. Recently, an inflammatory pro-tumorigenic macrophage emanating from tumor stroma (i.e. Cancer associated macrophage-like cell [CAML]) was found in >90% of metastatic cancer pts, and whose phagocytic engorgement appears to correlate with poor outcomes, independent of CTCs. As CTCs and CAMLs are isolated in conjunction from a single blood sample, and both are prognostic for outcomes, we evaluated their utilization prior to induction of new systemic therapy in 6 types of metastatic cancer to model pt risk stratification based on 2 year outcomes. Methods: A prospective 2 year blind multi-institutional study was undertaken to model CTCs and CAMLs in prognosticating outcomes prior to induction of a new line of systemic therapy (n=233) in metastatic: Breast (n=60), Prostate (n=40), Pancreas (n=25), Colon (n=28), Renal Cell Carcinoma (RCC) (n=39), and Lung (n=40). Blood was filtered by CellSieveTM filters with subtypes of CTCs & hyper-enlarged CAMLs (≥100µm) enumerated. A machine learning algorithm was trained on this initial data set to develop predictive models which could stratify pt populations by risk for likelihood of PFS & OS over 2 years, including known clinical variables. Results: CTCs were absent in 80% (n=185/233) of pts, and their absence was prognostic for better PFS (HR=1.6, p=0.046), but not OS (HR=1.3, p=0.2045). In parallel, enlarged CAMLs (≥100µm) were found in 28% (n=51/185) of pts without CTCs, and were also prognostic for worse PFS (HR=2.0, p=0.0082) and OS (HR=1.9, p=0.0412). Specifically, CTCs were found in 55% (n=33) breast, 20% (n=8) prostate, 12% (n=3) pancreas, 11% (n=3) colon, 0% (n=0) RCC, and 0% (n=0) lung pts. Enlarged CAMLs were found in 45% (n=27) breast, 20% (n=8) prostate, 44% (n=11) pancreas, 44% (n=17) colon, 18% (n=7) RCC and 20% (n=8) lung pts. Overall, models indicated that ≥1 CTC (n=47) had mPFS=3.9 & mOS=14.9, while pts with 0 CTCs and ≥100µm CAMLs (n=51) had a mPFS=6.9 & mOS=13.8, and pts with 0 CTCs and <100µm CAMLs (n=134) had a mPFS=10.7 & mOS>24 months. Conclusions: These initial models confirm that both CTCs and enlarged CAMLs are prognostic indicators of worse PFS & OS. The simultaneous quantification both CTCs and CAMLs allows for more accurate pan-cancer risk stratification in an array of cancer pt populations. Additional clinical variables incorporated into the models may allow better risk subtyping and possibly forecast optimal treatment regimens. Citation Format: Daniel L. Adams, Steven H. Lin, Massimo Cristofanilli, Carolina Reduzzi, Saranya Chumsri, Martin J. Edelman, Susan Tsai, Raymond C. Bergan, Mohammed Aldakkak, Thai H. Ho, Cha-Mei Tang. Combining circulating tumor cells and cancer associated macrophage-like cells enhances risk stratification models in pan-cancer metastatic disease [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 1068.

Abstract Tumor associated macrophages are known to fuse with cancer cells resulting in the formation of a cellular phenomenon called tumor-macrophage fusion cells (TMFCs). TMFCs are a highly aggressive cell subtype that may move into circulation, evade immune surveillance, and possibly aid in seeding of metastatic sites. The formation of TMFCs involves CD47, a ubiquitous surface receptor that acts as a “don’t eat me” signal, interacting with the macrophage protein SIRPa, a down regulator of phagocytosis, and syncytin-1, a mediator of hyperploidy cancer fusion. In this analysis, we isolated circulating TMFCs from the blood of n=39 metastatic cancer patients (pts) to evaluate the expressions of CD47, SIRPa and syncytin-1 as it relates to stable or progressive disease via 30 day imaging by PET scan. We conducted a prospective pilot study of n=39 pts with pathologically confirmed metastatic breast (n=17), prostate (n=7), pancreas (n=7), or colon (n=8) cancer receiving standard of care systemic therapy. We isolated TMFCs from 7.5ml peripheral blood using a CellSieve microfilter, and stained with CD47, SIRPa, & syncytin-1. TMFCs were identified based on large cell size (>30 µm) & multinucleated structure, and were categorized into 4 distinct subtypes: A) >2 distinct non-contacting nuclei within a TMFC, B) 2 distinct non-contacting nuclei, C) 2 contacting nuclei, D) a single multinucleated nuclei. CD47, SIRPa, and syncytin-1 expressions were categorized as negative, low, or high. TMFCs subtypes and marker expressions were compared to pts’ clinical status (i.e. progressive, stable or responding) at first available PET/CT scans after blood draw (∼45 days). TMFCs were identified in 72% of pts (n=28/39), average 8 cells/sample, and ranged 1-77 cells. Of the TMFCs, 12% were subtype A, 11% as B, 11% as C, and 66% as D. CD47 expression was seen in 100% of TMFs, with low expression in 39% of subtype A cells, 58% subtype B, 39% subtype C, & 62% subtype D. Notably, CD47 was significantly lower (p=0.010) in subtype B than other groups. Further, the expression of syncytin-1 in subtype B cells was significantly lower (p=0.02) than in other subtypes, and subtype D cells had 75% higher syncytin-1 localized to the nuclear regions. No correlations were found in the SIRPa expression and subtypes. Interestingly, progressing pts had 200% more TMFCs, more subtype B (83%), and significantly lower (p<0.001) CD47 expressing TMFCs than non-progressing pts. In this pilot study on the expression profiles of circulating TMFCs, it appears that specific subtypes of TMFC with low CD47 expression may be associated with progressive disease. Interestingly, this contrasts existing studies on primary tumors which often correlate higher CD47 with more aggressive cancers. This finding suggests that low CD47 cancer cells circulate blood in some pts with progressing disease and may be pertinent to efforts targeting CD47 in cancer. Citation Format: Sonia Muthuraj, Massimo Cristofanilli, Saranya Chumsri, Susan Tsai, Raymond C. Bergan, Cha-Mei Tang, Daniel L. Adams. Low CD47 expression in specific populations of tumor macrophage fusion cells in blood correlates with progressive disease in metastatic cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 1979.

ImportanceAcute promyelocytic leukemia (APL) is an acute illness that presents with cytopenia, infections, and disseminated intravascular coagulation. Achieving remission has been shown to make a major difference in patient outcomes; however, early death rates in the first month have been as high as 30% due to acute presentation, comorbidities, the rarity of APL, and clinician inexperience.ObjectiveTo develop treatment strategies that would decrease estimated 1-month mortality from 30% to below 15%.Design, Setting, and ParticipantsIn this nonrandomized clinical trial, a treatment algorithm that focused on supportive care was used to prevent early death in patients with APL treated at academic and community health centers between August 2017 and July 2021. Because of the rarity of the disease, expert support was available 24/7 from 7 designated APL experts at 6 participating academic lead centers, and included an additional 293 community centers. When a patient presented with APL, an expert was contacted and a consensus treatment plan was developed using the algorithm and expert suggestions. There were no exclusion criteria and all patients with a confirmed diagnosis of APL regardless of age or comorbid conditions were enrolled. Expert support was provided throughout induction. Initial data analysis was conducted May 2023.Main Outcomes and MeasuresOne-month mortality; additional objectives were to compare outcomes in academic and community centers and assess 1-year and overall survival.ResultsA total of 201 patients were enrolled from 43 centers; 62 at lead centers and 139 from 37 community centers. The median age was 53 years (range, 18-91 years), with 72 patients (35.8%) who were aged 60 years or older; 105 patients (52.2%) were male. Fifty-two patients (26.4%) were diagnosed with high-risk APL. The 1-month mortality rate was 6 deaths of 201 patients (3.0%; 95% CI, 1.1%-6.4%) after adjusting for 1 interim analysis. In a secondary analysis using the Kaplan-Meier method, the 1-month overall survival (OS) rate was 97.0% (95% CI, 93.5%-98.6%) and the 1-year OS rate was 94.5% (95% CI, 90.3%-96.9%).Conclusions and RelevanceIn this nonrandomized clinical trial, use of an algorithm combined with expert support resulted in a dramatic decrease in early death in academic and community centers. Population-wide survival improved in this highly curable disease, which suggests that implementing an accessible support system with APL experts for comanagement is the most logical next step.Trial RegistrationClinicalTrials.gov Identifier: NCT03253848

3053 Background: Recently, early studies have identified circulating stromal cells (CStCs), i.e. Cancer Associated Macrophage-Like cells (CAMLs), in patients (pts) with newly diagnosed invasive cancers, which are phagocytic myeloid immune cells emanating from primary tumors. However, no study has evaluated CAMLs as a pan solid tumor screening tool nor their clinical impact on pt outcomes. We analyzed the blood of untreated newly diagnosed cancer pts (n=441), or in non-malignant conditions (i.e. pancreatic cysts, n=77), or healthy controls (n=100). We found that CAMLs are prevalent (82%) in cancer pt blood, absent in healthy controls (0%) and less common in non-malignant conditions (36%), with correlations to worse clinical outcomes. Methods: Anonymized peripheral blood was taken from n=441 pts before or after confirmation of invasive malignancy [stage I (n=105), stage II (n=125), stage III (n=114), stage IV (n=97) with pathologically confirmed lung (n=84), pancreas (n=61), breast (n=73), prostate (n=65), esophageal (n=34), Renal Cell (n=29), Sarcoma (n=27), or Other (n=68). In addition, anonymized blood was taken from pts with untreated non-malignant conditions including benign breast masses (n=19), Lupus (n=11), liver Cirrhosis (n=6), rising PSA (n=24), or other benign mass (n=17); and from healthy control volunteers (n=100). CAMLs were isolated by CellSieve microfiltration, defined as enlarged polyploid cells with cytokeratin+ and/or CD45/CD14+. Pts were monitored for 0-8 years (median=2.6) for progression free survival (PFS) and overall survival (OS). Results: CAMLs were found in 82% of all cancer pts averaging 5.4 CAMLs, specifically, in 66% of Stage I, 85% Stage II, 84% Stage III, and 92% Stage IV. No CAMLs were found in any healthy controls, but were in 36% of non-malignant pts. CAML sensitivity in cancer vs healthy was 82% (CI95% 78-85%), specificity=100% (CI95% 96-100%), PPV=100% (CI95% 99-100%), NPV=55% (CI95% 50-60%). CAML sensitivity in cancer vs benign was 82% (CI95% 78-85%), specificity=64% (CI95% 32-44%), PPV=93% (CI95% 90-95%), NPV=38% (CI95% 32-44%). CAML presence was significantly associated with worse PFS (HR=2.0, 95%CI 1.4-2.9, p<0.0001) & OS (HR=2.2, 95%CI 1.4-3.3, p=0.0004), with engorged phagocytic CAMLs (>50um), highly significant for worse PFS (HR=3.3, 95%CI 2.5-4.5, p<0.0001) & OS (HR=3.0, 95%CI 2.1-4.3, p<0.0001). Further, in benign pts positive for CAMLs, 2 pts were in situ, 16 had histologies with increased cancer risk (i.e. IPMN, atypical hyperplasia), and 5 pts died within 3 years. Conclusions: CAMLs appear to be a highly sensitive blood based biomarker that can identify invasive carcinoma in all stages of cancer regardless of subtype, but are not found in healthy controls & rare in non-malignant conditions. Further, enlarged phagocytic CAMLs appeared to correlate with shorter PFS and OS prior to treatment induction.

Despite advancements in the early-stage detection and expansion of treatments for prostate cancer (PCa), patient mortality rates remain high in patients with aggressive disease and the overtreatment of indolent disease remains a major issue. Prostate-specific antigen (PSA), a standard PCa blood biomarker, is limited in its ability to differentiate disease subtypes resulting in the overtreatment of non-aggressive indolent disease. Here we assess engorged cancer-associated macrophage-like cells (CAMLs), a ≥50 µm, cancer-specific, polynucleated circulating cell type found in the blood of patients with PCa as a potential companion biomarker to PSA for patient risk stratification. We found that rising PSA is positively correlated with increasing CAML size (r = 0.307, p = 0.004) and number of CAMLs in circulation (r = 0.399, p < 0.001). Over a 2-year period, the presence of a single engorged CAML was associated with 20.9 times increased likelihood of progression (p = 0.016) in non-metastatic PCa, and 2.4 times likelihood of progression (p = 0.031) with 5.4 times likelihood of death (p < 0.001) in metastatic PCa. These preliminary data suggest that CAML cell monitoring, in combination with PSA, may aid in differentiating non-aggressive from aggressive PCas by adding biological information that complements traditional clinical biomarkers, thereby helping guide treatment strategies.

Abstract Background: Prostate cancers (PC) are intrinsically complex, with few prognostic biomarkers that differentiate aggressive and indolent disease. Cancer associated macrophage like cells (CAMLs) have shown to be significant independent prognostic indicators for poor survival in tumors if engorged to ≥50μm. However, no group has examined CAMLs' in PC. In this prospective pilot study, we analyzed PSA & ≥50μm CAML presence in (n=51) Stage I-III & (n=41) metastatic PC (mPC) prior to the start of new treatments to examine CAMLs' on outcomes. We found that ≥50μm CAML presence significantly predicted worse patient survival in mPC. These preliminary results suggest that CAMLs may serve as a cheap, non-invasive prognostic biomarker that predicts for worse outcomes in both local & mPC prior to new therapies. Methods: We prospectively recruited (n=92) PC patients in this pilot study to examine CAML's prognostic significance in non-metastatic (stages I-III) and mPC. Of (n=92) total patients, 15% (n=14/92) were stage I, 32% (n=29/92) stage II, 9% (n=8/92) stage III, and 45% (n=41/92) Stage IV. Prior to the induction of new therapy or first line therapy for newly diagnosed patients, 7.5mL peripheral baseline (BL) blood was collected. Blood was filtered via CellSieveTM microfiltration, which excludes cells by size ≥7μm. In parallel, changes in PSA was monitored to compare prognostic significance against ≥50μm CAMLs. Wilcoxon univariate analysis was used to analyze ≥50μm CAMLs and PSA in progression free survival (PFS) and overall survival (OS). Results: CAML's were identified in 78.9% (n=71/90) of available BL samples, with two samples failing from clotting. Stage I-III patients had an average of ~3 CAMLs/7.5mL blood, whereas mPCs contained ~6 CAMLs/7.5mL. Average CAML size increased linearly with advancing stage of disease with stage I patients averaging 23μm, stage II 33μm, stage III 65μm, and stage IV 78μm. Of available BL samples, 41% (n=38/90) patients with ≥50μm CAMLs significantly predicted for worse PFS (HR=10.0, p&lt;0.001, 95%CI=0.07-0.31) and OS (HR=34.2, p&lt;0.001, 95%CI=0.03-0.21). Further, ≥50μm CAMLs significantly predicted for poorer survival in mPC with PFS (HR=9.4, p=0.028, 95%CI=0.18-0.84) and OS (HR=5.1, p=0.003, 95%CI=0.07-0.53), but only non-significantly trended in non-metastatic disease. Initial analysis of PSA found that high PSA at BL was a significant predictor for worse outcomes in patients, while changes in PSA was not a predictor. Conclusions: CAMLs have shown potential as a predictive non-invasive blood based biomarker across multiple solid malignancies, and here we compared this biomarker in PC. While preliminary, these data suggests that engorged CAML presence prior to the start of new treatment may be a statistically significant predictor of survival in both the local and metastatic setting, and a larger validation cohort should be established. Citation Format: Daniel J. Gironda, Raymond Bergan, R K. Alpaugh, Daniel C. Danila, Tuan L. Chuang, Brenda Y. Hurtado, Thai Ho, Cha-Mei Tang, Daniel L. Adams. Cancer associated macrophage like cells predict aggressive disease in local and metastatic prostate cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 357.

3039 Background: Patients with multiple organ metastases have poorer prognoses than those with a single organ metastasis, are frequently associated with drug resistance, and have higher tumor burden. Engorged (≥50um) Cancer Associated Macrophage-Like Cells (CAMLs) are a circulating stromal cell subtype detected in the blood of patients with solid tumors at high risk for recurrence or progression. While numerous studies have shown that ≥50um CAMLs predict poor clinical outcomes, meta-analysis of these studies have also suggested that hyper engorged CAMLs ≥100um (heCAMLs) may be associated with multifocal metastatic disease and even worse outcomes. In this prospective study, we evaluated the presence of heCAMLs in patients with metastatic disease and demonstrated a strong relationship with multi organ spread, which also correlated with shorter Progression Free Survival (PFS) and Overall Survival (OS). Methods: We prospectively recruited 151 patients with metastatic (m) mbreast (n = 58), mlung (n = 34), mprostate (n = 39), and mrenal (n = 20) cancers. Peripheral blood was collected prior to the induction of new treatment for metastatic cancer. Cells were isolated following standard CellSieve techniques, then imaged and measured in ZenBlue. Multi organ metastasis was defined as spread to ≥2 distant organ sites, or any spread to the brain. Single factor ANOVA was conducted to compare heCAML presence in multi organ metastatic patients versus patients with single organ site metastasis. Univariate and multivariate analysis was run to evaluate for PFS and OS against heCAMLs, and all known clinical parameters. Results: 150 viable samples (excluding 1 failed sample) were obtained. Multi organ metastases were present in 55% (n = 83/150) of patients. heCAMLs were found in 59% (n = 49/83) of the multi organ metastatic population, but only in 16% (n = 11/67) of the single site metastatic cohort (p < 0.001). heCAML presence appeared to differentiate multi organ vs single organ metastases in mbreast (85% vs. 52%, p = 0.006), mlung (71% vs. 26%, p = 0.025), mprostate (75% vs. 37%, p = 0.029), and mRCC (88% vs. 36%, p = 0.025). Further, in all n = 150 patients, heCAML presence predicted a significantly shorter median PFS of 4.5 versus 7.2 months, 24 month PFS (HR = 1.67, 95%CI = 1.13-2.45, p = 0.013), and significantly shorter median OS of 13.1 versus 20.4 months, 24 month OS (HR = 2.05, 95%CI = 1.24-3.39, p = 0.008). Conclusions: We examined a non-invasive prognostic blood based assay to determine its relationship to multi organ metastatic spread as well as its prognostic value in several solid cancers. These results showed patients with heCAMLs had higher rates of multi organ metastases, and appear to predict for shorter PFS and OS. Studies of larger cohorts are needed for prospective validation of these initial findings.

3535 Background: Peripheral blood allows for a simple non-invasive method for isolating various cancer associated circulating stromal cells (CStCs) which may predict for cancer presence. Cancer Associated Macrophage-Like cells (CAMLs), a specific CStC, are phagocytic myeloid cells that derive from an immunological response to cancer and emanate from primary tumors. Using a filtration platform we screened the peripheral blood of untreated newly diagnosed cancer patients (n = 308) for CAMLs. In parallel, we screened patients with newly diagnosed non-malignant diseases, i.e. lupus, benign cysts, etc. (n = 39), and healthy control samples (n = 76). We found that CAMLs are highly prevalent (87%) in the blood of cancer patients, but uncommon in non-malignant conditions (20%) & absent in healthy individuals (0%). Methods: Anonymized peripheral blood were taken from 308 cancer patients after confirmation of invasive malignancy [stage I (n = 76), stage II (n = 73), stage III (n = 72), stage IV (n = 65) and unstaged non-metastatic (n = 22)] with pathologically confirmed lung (n = 65), pancreas (n = 53), breast (n = 52), prostate (n = 40), esophageal (n = 30), renal cell (n = 18), hepatocellular (n = 15), neuroblastoma (n = 10), melanoma (n = 8), and other (n = 17). Further, anonymized blood was taken from patients with untreated non-malignant conditions including benign breast masses (n = 19), lupus (n = 11), liver cirrhosis (n = 5), benign prostatic hyperplasia (BPH) (n = 3), and viral infection (n = 1); or from healthy control volunteers (n = 76). CAMLs were isolated from whole peripheral blood by the CellSieve™ microfiltration technique and defined as enlarged, multinuclear cells with cytokeratin and/or CD45/CD14 positive. Results: CAMLs were found in 87% of all cancer patients regardless of stage, ~5.4 CAMLs/7.5mL blood. Specifically, CAMLs were found in 80% of Stage I, 90% Stage II, 89% Stage III, and 97% Stage IV patients. No CAMLs were found in any healthy controls, but were found in 26% of benign breast masses, 18% of lupus, 0% of BPH and 0% of cirrhosis. In total, CAML sensitivity in cancer vs healthy was 87% (CI95% 82-90%), specificity = 100% (CI95% 95-100%), PPV = 100% (CI95% 100%), NPV = 67% (CI95% 58-71%). CAML sensitivity in cancer vs benign was 87% (CI95% 82-90%), specificity = 80% (CI95% 64-91%), PPV = 97% (CI95% 95-98%), NPV = 43% (CI95% 35-51%). Conclusions: CAMLs, a Circulating Stromal Cell subtype, is a sensitive blood based biomarker found in all stages of cancer that is rare in non-malignant conditions and absent in healthy individuals.