Processing Techniques for Scanning Electron Microscopy Imaging of Giant Cells from Giant Cell Tumors of Bone.

Giant cell tumor (GCT) of bone is a common benign lesion that causes significant morbidity due to the failure of modern medical and surgical treatment. Surface ultra-structures of giant cells (GCs) may help in distinguishing aggressive tumors from indolent GC lesions. This study aimed to standardize scanning electron microscopic (SEM) imaging of GC from GCT of bone. Fresh GCT collected in Dulbecco's Modified Eagle Medium was washed to remove blood, homogenized, or treated with collagenase to isolate the GCs. Mechanically homogenized and collagenase-digested GCs were imaged on SEM after commonly used drying methodologies such as air-drying, tetramethylsilane (TMS)-drying, freeze-drying, and critical point-drying (CPD) for the optimization of sample processing. The collagenase-treated samples yielded a greater number of isolated GC and showed better surface morphology in comparison to mechanical homogenization. Air-drying was associated with marked cell shrinkage, and freeze-dried samples showed severe cell damage. TMS methodology partially preserved the cell contour and surface structures, although the cell shape was distorted. GC images with optimum surface morphology including membrane folding and microvesicular structures on the surface were observed only in collagenase-treated and critical point-dried samples. Collagenase digestion and critical point/TMS-drying should be performed for optimal SEM imaging of individual GCs.

One nucleotide substitution in the 3'UTR generated the novel allele HLA-B*40:01:02:47 in a North Indian individual.

HLA-B*40:01:02:47 differs from HLA-B*40:01:02:01 by one nucleotide change in the 3'UTR at position 2739 (A>T).

A single nucleotide substitution in intron 3 generated the novel HLA-A*11:01:01:68 allele.

HLA-A*11:01:01:68 differs from HLA-A*11:01:01:01 by one nucleotide change in intron 3 at position 1474 (G > A).

Characterization of the novel HLA-B*15:05:01:02 allele by sequence-based typing.

HLA-B*15:05:01:02 differs from HLA-B*15:05:01:01 by one nucleotide change in intron 2 at position 517 (C > A).

Demographic and clinical profile of 1106 adult soft tissue sarcoma patients: A single institutional prospective database experience from India.

BACKGROUND: Adult soft tissue sarcomas (STS) are rare and diverse. Current management is based on limited literature from the West. Therefore, data from different geographical regions is required, including the low-middle-income countries. This is our experience managing adult sarcomas in the tertiary cancer center of North India. MATERIALS AND METHODS: This is a retrospective analysis of the structured sarcoma database of patients treated in the surgical oncology department between 1992 and 2020. The descriptive analysis includes demography, site distribution, diagnosis, histopathology variations, prior surgical interventions, and stage. RESULTS: A total of 1106 soft tissue sarcoma patients were treated in three decades. Age distribution was 13%, 43%, 31%, and 11% in <20, 21-40, and 41-60 and >60 years, respectively. The male-to-female ratio was 1.73. The anatomical distribution was 17%, 42%, 23%, 7%, 7%, and 3% in upper extremity, lower extremity, trunk, retroperitoneum, head and neck, and viscera, respectively. Overall, 49% of patients had undergone prior suboptimal surgeries at community hospitals. Common histology subtypes were synovial sarcoma (18%), undifferentiated pleomorphic sarcoma (UPS) (13%), dermatofibrosarcoma protuberans (12%), and liposarcoma (9%). A pathological discordance of 13% was identified between the initial and the final histologies. Overall, 61% of tumors were high-grade. Memorial Sloan Kettering Stages II and III were present in 33% and 35% of patients, respectively. CONCLUSIONS: This is one of the largest single institutional experiences of STS from the Asian population. Mostly young adults were affected with male preponderance. The lower extremity and trunk were common subsites. Frequent histologies were synovial sarcoma and UPS. A high rate of suboptimal surgical intervention at the community level and pathological discordance was noted. This study highlights the need to establish prospective structured databases for capturing quality information related to rare malignancies and providing insights for future research.