Quantitative Detection of Disseminated Melanoma Cells by Trp-1 Transcript Analysis Reveals Stochastic Distribution of Pulmonary Metastases

A better understanding of the process of melanoma metastasis is required to underpin the development of novel therapies that will improve patient outcomes. The use of appropriate animal models is indispensable for investigating the mechanisms of melanoma metastasis. However, reliable and practicable quantification of metastases in experimental mice remains a challenge, particularly if the metastatic burden is low. Here, we describe a qRT-PCR-based protocol that employs the melanocytic marker Trp-1 for the sensitive quantification of melanoma metastases in the murine lung. Using this protocol, we were able to detect the presence of as few as 100 disseminated melanoma cells in lung tissue. This allowed us to quantify metastatic burden in a spontaneous syngeneic B16-F10 metastasis model, even in the absence of visible metastases, as well as in the autochthonous Tg(Grm1)/Cyld−/− melanoma model. Importantly, we also observed an uneven distribution of disseminated melanoma cells amongst the five lobes of the murine lung, which varied considerably from animal to animal. Together, our findings demonstrate that the qRT-PCR-based detection of Trp-1 allows the quantification of low pulmonary metastatic burden in both transplantable and autochthonous murine melanoma models, and show that the analysis of lung metastasis in such models needs to take into account the stochastic distribution of metastatic lesions amongst the lung lobes.

Treatment of Cancer with Radio-Immunotherapy: What We Currently Know and What the Future May Hold

Radiotherapy and immunotherapy are most effective as cancer therapies in the setting of low-volume disease. Although initial studies of radio-immunotherapy in patients with metastatic cancer have not confirmed the efficacy of this approach, the role of radio-immunotherapy in patients with limited metastatic burden is unclear. We propose that further investigation of radio-immunotherapy in metastatic patients should focus upon patients with oligometastatic disease.

Influence of Baseline Positron Emission Tomography in Metastatic Gastroesophageal Cancer on Survival and Response to Therapy

<b><i>Background:</i></b> The value of baseline fluorodeoxyglucose-positron emission tomography-computed tomography (PET-CT) remains uncertain once gastroesophageal cancer is metastatic. We hypothesized that assessment of detailed PET-CT parameters (maximum standardized uptake value [SUVmax] and/or total lesion glycolysis [TLG]), and the extent of metastatic burden could aid prediction of probability of response or prognosticate. <b><i>Methods:</i></b> We retrospectively analyzed treatment-naive patients with stage 4 gastroesophageal cancer (December 2002–August 2017) who had initial PET-CT for cancer staging at MD Anderson Cancer Center. SUVmax and TLG were compared with treatment outcomes for the full cohort and subgroups based on metastatic burden (≤2 or &#x3e;2 metastatic sites). <b><i>Results:</i></b> We identified 129 patients with metastatic gastroesophageal cancer who underwent PET-CT before first-line therapy. The median follow-up time was 61 months. The median overall survival (OS) was 18.5 months; the first progression-free survival (PFS) was 5.5 months. SUVmax or TLG of the primary tumor or of all metastases combined had no influence on OS or PFS, whether the number of metastases was ≤2 or &#x3e;2. Overall response rates (ORRs) to first-line therapy were 48% and 45% for patients with ≤2 and &#x3e;2 metastases, respectively (nonsignificant). ORR did not differ based on low or high values of SUVmax or TLG. <b><i>Conclusions:</i></b> This is the first assessment of a unique set of PET-CT data and its association with outcomes in metastatic gastroesophageal cancer. In our large cohort of patients, detailed analyses of PET-CT (by SUVmax and/or TLG) did not discriminate any parameters examined. Thus, baseline PET-CT in untreated metastatic gastroesophageal cancer patients has limited or no utility.

Genomic characterization of metastatic patterns from prospective clinical sequencing of 25,000 patients

Progression to metastatic disease remains the main cause of cancer death. Yet, the underlying genomic mechanisms driving metastasis remain largely unknown. Here, we present MSK-MET, an integrated pan-cancer cohort of tumor genomic and clinical outcome data from more than 25,000 patients. We analyzed this dataset to identify associations between tumor genomic alterations and patterns of metastatic dissemination across 50 tumor types. We found that chromosomal instability is strongly correlated with metastatic burden in some tumor types, including prostate adenocarcinoma, lung adenocarcinoma and HR-positive breast ductal carcinoma, but not in others, such as colorectal adenocarcinoma, pancreatic adenocarcinoma and high-grade serous ovarian cancer. We also identified specific somatic alterations associated with increased metastatic burden and specific routes of metastatic spread. Our data offer a unique resource for the investigation of the biological basis for metastatic spread and highlight the crucial role of chromosomal instability in cancer progression.

Tumor microenvironmental cytokines bound to cancer exosomes determine uptake by cytokine receptor-expressing cells and biodistribution

Metastatic spread of a cancer to secondary sites is a coordinated, non-random process. Cancer cell-secreted vesicles, especially exosomes, have recently been implicated in the guidance of metastatic dissemination, with specific surface composition determining some aspects of organ-specific localization. Nevertheless, whether the tumor microenvironment influences exosome biodistribution has yet to be investigated. Here, we show that microenvironmental cytokines, particularly CCL2, decorate cancer exosomes via binding to surface glycosaminoglycan side chains of proteoglycans, causing exosome accumulation in specific cell subsets and organs. Exosome retention results in changes in the immune landscape within these organs, coupled with a higher metastatic burden. Strikingly, CCL2-decorated exosomes are directed to a subset of cells that express the CCL2 receptor CCR2, demonstrating that exosome-bound cytokines are a crucial determinant of exosome-cell interactions. In addition to the finding that cytokine-conjugated exosomes are detected in the blood of cancer patients, we discovered that healthy subjects derived exosomes are also associated with cytokines. Although displaying a different profile from exosomes isolated from cancer patients, it further indicates that specific combinations of cytokines bound to exosomes could likewise affect other physiological and disease settings.

Breast Cancer Cell Re-Dissemination from Lung Metastases—A Mechanism for Enhancing Metastatic Burden

Although metastatic disease is the primary cause of mortality in cancer patients, the mechanisms leading to overwhelming metastatic burden are still incompletely understood. Metastases are the endpoint of a series of multi-step events involving cancer cell intravasation, dissemination to distant organs, and outgrowth to metastatic colonies. Here we show, for the first-time, that breast cancer cells do not solely disseminate to distant organs from primary tumors and metastatic nodules in the lymph nodes, but also do so from lung metastases. Thus, our findings indicate that metastatic dissemination could continue even after the removal of the primary tumor. Provided that the re-disseminated cancer cells initiate growth upon arrival to distant sites, cancer cell re-dissemination from metastatic foci could be one of the crucial mechanisms leading to overt metastases and patient demise. Therefore, the development of new therapeutic strategies to block cancer cell re-dissemination would be crucial to improving survival of patients with metastatic disease.

Metastasiertes nicht kleinzelliges Lungenkarzinom: Operation vor zielgerichteter Therapie mit EGFR-TKI

<b>Objectives:</b> The characteristics and efficacy of epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI) in advanced <i>EGFR</i>-mutant lung adenocarcinoma patients with primary tumor resection (PTR) is not yet clear. <b>Methods:</b> We enrolled advanced <i>EGFR</i>-mutant lung adenocarcinoma patients with EGFR-TKI as first-line therapy to access the impact of PTR on the outcomes. <b>Results:</b> A total of 466 patients were enrolled with 76 patients (16.3%) undergoing PTR; 59 patients recurred after curative surgery, while 17 patients underwent surgery as diagnostic purposes. PTR patients displayed a better performance status, a lower metastatic burden, and much less measurable diseases (30.3 vs. 97.4%, <i>p</i> &#x3c; 0.001). PTR patients experienced a significantly longer progression-free survival (25.1 [95% CI 16.6–33.7] vs. 9.4 [95% CI 8.4–10.4] months; aHR 0.40 [95% CI 0.30–0.54], <i>p</i> &#x3c; 0.001) and overall survival (56.8 [95% CI 36.3–77.2] vs. 31.8 [95% CI 28.2–35.4] months; aHR 0.57 [95% CI 0.39–0.84], <i>p</i> = 0.004). Survival advantage was still observed while comparing PTR patients with the better performance and lower metastatic burden subgroup found within the non-resection group. Moreover, the progression-free survival and overall survival of 11 patients who were found having pleural metastases during surgery and underwent PTR plus pleural biopsy, were also longer than those with pure N0–1/M1a-malignant pleural effusion disease in the non-resection group (<i>n</i> = 19) (<i>p</i> &#x3c; 0.001 and <i>p</i> = 0.002, respectively). <b>Conclusion:</b> PTR was associated with significantly better outcomes in advanced lung adenocarcinoma patients treated with EGFR-TKI. Further studies are needed to evaluate the biological role of PTR among these patients.